711 results on '"Rahimi K"'
Search Results
2. Elevated blood pressure, antihypertensive medications and bone health in the population: revisiting old hypotheses and exploring future research directions
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Canoy, D., Harvey, N. C., Prieto-Alhambra, D., Cooper, C., Meyer, H. E., Åsvold, B. O., Nazarzadeh, M., and Rahimi, K.
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- 2022
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3. Correction: Elevated blood pressure, antihypertensive medications and bone health in the population: revisiting old hypotheses and exploring future research directions
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Canoy, D., Harvey, N. C., Prieto-Alhambra, D., Cooper, C., Meyer, H. E., Åsvold, B. O., Nazarzadeh, M., and Rahimi, K.
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- 2022
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4. Serious Adverse Effects of Extended-release Niacin/Laropiprant: Results From the Heart Protection Study 2–Treatment of HDL to Reduce the Incidence of Vascular Events (HPS2-THRIVE) Trial
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Haynes, Richard, Valdes-Marquez, Elsa, Hopewell, Jemma C., Chen, Fang, Li, Jing, Parish, Sarah, Landray, Martin J., Armitage, Jane, Collins, R., Armitage, J., Baigent, C., Chen, Z., Landray, M.J., Chen, Y., Jiang, L., Pedersen, T., Bowman, L., Haynes, R., Rahimi, K., Tobert, J., Sleight, P., Simpson, D., Parish, S., Baxter, A., Lay, M., Bray, C., Wincott, E., van Leijenhorst, G., Mitchel, Y., and Kuznetsova, O.
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- 2019
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5. Incidence of cardiovascular diseases over the past 20 years - a population-based study in 22 million individuals
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Conrad, N, primary, Jhund, P S, additional, Sattar, N, additional, Rahimi, K, additional, and Mcmurray, J J V, additional
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- 2023
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6. Lifetime Cumulative Effect of Reproductive Factors on Stroke and Its Subtypes in Postmenopausal Chinese Women
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Hou, L, Li, S, Zhu, S, Yi, Q, Liu, W, Wu, Y, Wu, F, Ji, Y, Song, P, and Rahimi, K
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Neurology (clinical) - Abstract
Background and ObjectivesMultiple reproductive factors are associated with stroke. Little is known about the cumulative effects of reproductive factors during a reproductive life course on stroke and its subtypes, especially among female Chinese individuals. The objective of this study was to assess the associations of lifetime cumulative estrogen exposure due to reproductive factors with stroke and its etiologic subtypes among postmenopausal Chinese women.MethodsPostmenopausal women without prior stroke at baseline (2004–2008) were selected from the China Kadoorie Biobank (CKB). Lifetime cumulative estrogen exposure due to reproductive factors was assessed using 3 composite indicators: reproductive lifespan (RLS), endogenous estrogen exposure (EEE), and total estrogen exposure (TEE). Stroke and its subtypes, ischemic stroke (IS), intracerebral hemorrhage (ICH), and subarachnoid hemorrhage (SAH), were identified through linkage to a disease registry system and health insurance data during follow-up (2004–2015). Multivariable-adjusted Cox proportional hazards regression models were applied to estimate the adjusted hazard ratio (aHR) and 95% CIs for the risk of stroke by quartiles of RLS, EEE, and TEE, respectively.ResultsA total of 122,939 postmenopausal participants aged 40–79 years without prior stroke at baseline were included. During a median follow-up period of 8.9 years, 15,139 cases with new-onset stroke were identified, including 12,853 cases with IS, 2,580 cases with ICH, and 269 cases with SAH. Compared with the lowest quartile (Q1) of RLS, the highest quartile (Q4) had a lower risk of total stroke (aHR: 0.95, 95% CI 0.92–0.98), IS (aHR: 0.95, 95% CI 0.92–0.98), and ICH (aHR: 0.87, 95% CI 0.81–0.94). Both EEE and TEE displayed a graded association with the subsequent descending risk of total stroke (aHR for Q4 vs Q1: EEE: 0.85, 95% CI 0.82–0.89; TEE: 0.87, 95% CI 0.84–0.90), IS (aHR for Q4 vs Q1: EEE: 0.86, 95% CI 0.83–0.90; TEE: 0.86, 95% CI 0.83–0.89), and ICH (EEE: 0.73, 95% CI 0.65–0.81; TEE: 0.83,95% CI 0.76–0.91), with apfor trend < 0.001 for all these associations.DiscussionIndividuals' cumulative estrogen exposure due to reproductive factors could potentially be a valuable indicator for risk stratification of stroke events after menopause.
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- 2023
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7. The Effect of Immunomodulatory Drugs on Aortic Stenosis: A Mendelian Randomisation Analysis
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Ciofani, J., primary, Han, D., additional, Nazarzadeh, M., additional, Allahwala, U., additional, De Maria, G., additional, Banning, A., additional, Bhindi, R., additional, and Rahimi, K., additional
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- 2023
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8. Adjusting the size of multicompartmental containers made of anionic liposomes and polycations by introducing branching and PEO moieties
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Pinguet, C.E., Hoffmann, J.M., Steinschulte, A.A., Sybachin, A., Rahimi, K., Wöll, D., Yaroslavov, A., Richtering, W., and Plamper, F.A.
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- 2017
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9. Choices of Stent and Cerebral Protection in the Ongoing ACST-2 Trial: A Descriptive Study
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Fraedrich, G., Rantner, B., Gizewski, E., Gruber, I., Hendriks, J., Cras, P., Lauwers, P., van Scheil, P., Vermassen, F., Van Herzeele, I., Geenens, M., Hemelsoet, D., Lerut, P., Lambrecht, B., Saad, G., Peeters, A., Bosiers, M., da Silva, E., de Luccia, N., Sitrangulo, J.C., Jr., Estenssoro, A.E.V., Presti, C., Casella, I., Monteiro, J.A.T., Campos, W., Jr., Puech-Leao, P., Petrov, V., Bachvarov, C., Hill, M., Mitha, A., Wong, J., Liu, C.-W., Bao, L., Yu, C., Cvjetko, I., Vidjak, V., Fiedler, J., Ostry, S., Sterba, L., Kostal, P., Staffa, R., Vlachovsky, R., Privara, M., Kriz, Z., Vojtisek, B., Krupa, P., Reif, M., Benes, V., Buchvald, P., Endrych, L., Prochazka, V., Kuliha, M., Otahal, D., Hrbac, T., Netuka, D., Mohapl, M., Kramier, F., Eldessoki, M., Heshmat, H., Abd-Allah, F., Palmiste, V., Margus, S., Toomsoo, T., Becquemin, J.-P., Bergeron, P., Abdulamit, T., Cardon, J.-M., Debus, S., Thomalla, G., Fiehler, J., Gerloss, C., Grzyska, U., Storck, M., LaMacchia, E., Eckstein, H.H., Söllner, H., Berger, H., Kallmayer, M., Popert, H., Zimmermann, A., Guenther, A., Klingner, C., Mayer, T., Schubert, J., Zanow, J., Scheinert, D., Banning-Eichenseer, U., Bausback, Y., Branzan, D., Braünilch, S., Lenzer, J., Schidt, A., Staab, H., Ulirch, M., Barlinn, J., Haase, K., Abramyuk, A., Bodechtel, U., Gerber, J., Reeps, C., Pfeiffer, T., Torello, G., Cöster, A., Giannoukas, A., Spanos, K., Matsagkas, M., Koutias, S., Vasdekis, S., Kakisis, J., Moulakakis, K., Lazaris, A., Liapas, C., Brountzos, E., Lazarides, M., Ioannou, N., Polydorou, A., Fulop, B., Fako, E., Voros, E., Bodosi, M., Nemeth, T., Barzo, P., Pazdernyik, S., Entz, L., Szeberin, Z., Dosa, E., Nemes, B., Jaranyi, Z., Pazdernyia, S., Madhaban, P., Hoffman, A., Nikolsky, E., Beyar, R., Casana, R., Tolva, V., Silingardi, R., Lauricella, A., Coppi, G., Nicoloci, E., Tusini, N., Strozzi, F., Vecchiati, E., Ferri, M., Ferrero, E., Psacharopulo, D., Gaggiano, A., Viazzo, A., Farchioni, L., Parlani, G., Caso, V., De Rangoy, P., Verzini, F., Castelli, P., DeLodovici, M.L., Carrafiello, G., Ierardi, A.M., Piffaretti, G., Nano, G., Occhiuto, M.T., Malacrida, G., Tealdi, D., Steghter, S., Stella, A., Pini, R., Faggioli, G., Sacca, S., Negri, M.D., Palombo, M., Perfumo, M.C., Fadda, G.F., Kasemi, H., Cernetti, C., Tonello, D., Visonà, A., Mangialardi, N., Ronchey, S., Altavista, M.C., Michelagnoli, S., Chisci, E., Speziale, F., Capoccia, L., Veroux, P., Giaquinta, A., Patti, F., Pulli, R., Boggia, P., Angiletta, D., Amatucci, G., Spinetti, F., Mascoli, F., Tsolaki, E., Civilini, E., Reimers, B., Setacci, C., Pogany, G., Odero, A., Accrocca, F., Bajardi, G., Takashi, I., Masayuki, E., Hidenori, E., Aidashova, B., Kospanov, N., Bakke, S., Skjelland, M., Czlonkowska, A., Kobayashi, A., Proczka, R., Dowzenko, A., Czepel, W., Polanski, J., Bialek, P., Ozkinis, G., Snoch-Ziólkiewicz, M., Gabriel, M., Stanisic, M., Iwanowski, W., Andziak, P., Gonçalves, F.B., Starodubtsev, V., Ignatenko, P., Karpenko, A., Radak, D., Aleksic, N., Sagic, D., Davidovic, L., Koncar, I., Tomic, I., Colic, M., Bartkoy, D., Rusnak, F., Gaspirini, M., Praczek, P., Milosevic, Z., Flis, V., Bergauer, A., Kobilica, N., Miksic, K., Matela, J., Blanco, E., Guerra, M., Riambau, V., Gillgren, P., Skioldebrand, C., Nymen, N., Berg, B., Delle, M., Formgren, J., Kally, T.B., Qvarfordt, P., Plate, G., Pärson, H., Lindgren, H., Bjorses, K., Gottsäter, A., Warvsten, M., Kristmundsson, T., Forssell, C., Malina, M., Holst, J., Kuhme, T., Sonesson, B., Lindblad, B., Kolbel, T., Acosta, S., Bonati, L., Traenka, C., Mueller, M., Lattman, T., Wasner, M., Mujagic, E., Von Hessling, A., Isaak, A., Stierli, P., Eugster, T., Mariani, L., Stippich, C., Wolff, T., Kahles, T., de Borst, G.J., Toorop, R., Moll, F., Lo, R., Meershoek, A., Jahrome, A.K., Vos, A.W.F., Schuiling, W., Keunen, R., Reijnen, M., Macsweeney, S., McConachie, N., Southam, A., Stansby, G., Lees, T., Lambert, D., Clarke, M., Wyatt, M., Kappadath, S., Wales, L., Jackson, R., Raudonaitis, A., MacDonald, S., Dunlop, P., Brown, A., Vetrivel, S., Bajoriene, M., Gopi, R., McCollum, C., Wolowczyk, L., Ghosh, J., Seriki, D., Ashleigh, R., Butterfield, J., Welch, M., Smyth, J.V., Briley, D., Schulz, U., Perkins, J., Hands, L., Kuker, W., Darby, C., Handa, A., Sekaran, L., Poskitt, K., Bulbulia, R., Morrison, J., Guyler, P., Grunwald, I., Brown, J., Jakeways, M., Tysoe, S., Hargroves, D., Gunathilagan, G., Insall, R., Senaratne, J., Beard, J., Cleveland, T., Nawaz, S., Lonsdale, R., Turner, D., Gaines, P., Nair, R., Chetter, I., Robinson, G., Akomolafe, B., Hatfield, J., Saastamoinen, K., Crinnion, J., Egun, A.A., Thomas, J., Drinkwater, S., D'Souza, S., Thomson, G., Gregory, B., Babu, S., Ashley, S., Joseph, T., Gibbs, R., Tebit, G., Mehrzad, A., Enevoldson, P., Mendalow, D., Parry, A., Tervitt, G., Clifton, A., Nazzel, M., Halliday, A., Peto, R., Pan, H., Potter, J., Bullbulia, R., Mihaylova, B., Flather, M., Mansfield, A., Simpson, D., Thomas, D., Gray, W., Farrell, B., Davies, C., Rahimi, K., Gough, M., Cao, P., Rothwell, P., Belli, A., Mafham, M., Herrington, W., Sandercock, P., Gray, R., Shearman, C., Molyneux, A., Gray, A., Clarke, A., Sneade, M., Tully, L., Brudlo, W., Lay, M., Munday, A., Berry, C., Tochlin, S., Cox, J., Kurien, R., Chester, J., de Waard, D.D., Huibers, A., and Bonati, L.H.
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- 2017
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10. Validation of risk prediction models applied to longitudinal electronic health record data for the prediction of major cardiovascular events in the presence of data shifts
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Li, Y, Salimi-Khorshidi, G, Rao, S, Canoy, D, Hassaine, A, Lukasiewicz, T, Rahimi, K, and Mamouei, M
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General Engineering ,General Earth and Planetary Sciences ,General Environmental Science - Abstract
AimsDeep learning has dominated predictive modelling across different fields, but in medicine it has been met with mixed reception. In clinical practice, simple, statistical models and risk scores continue to inform cardiovascular disease risk predictions. This is due in part to the knowledge gap about how deep learning models perform in practice when they are subject to dynamic data shifts; a key criterion that common internal validation procedures do not address. We evaluated the performance of a novel deep learning model, BEHRT, under data shifts and compared it with several ML-based and established risk models.Methods and resultsUsing linked electronic health records of 1.1 million patients across England aged at least 35 years between 1985 and 2015, we replicated three established statistical models for predicting 5-year risk of incident heart failure, stroke, and coronary heart disease. The results were compared with a widely accepted machine learning model (random forests), and a novel deep learning model (BEHRT). In addition to internal validation, we investigated how data shifts affect model discrimination and calibration. To this end, we tested the models on cohorts from (i) distinct geographical regions; (ii) different periods. Using internal validation, the deep learning models substantially outperformed the best statistical models by 6%, 8%, and 11% in heart failure, stroke, and coronary heart disease, respectively, in terms of the area under the receiver operating characteristic curve.ConclusionThe performance of all models declined as a result of data shifts; despite this, the deep learning models maintained the best performance in all risk prediction tasks. Updating the model with the latest information can improve discrimination but if the prior distribution changes, the model may remain miscalibrated.
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- 2022
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11. The Global and Regional Prevalence of Abdominal Aortic Aneurysms: A Systematic Review and Modeling Analysis
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Song, P, He, Y, Adeloye, D, Zhu, Y, Ye, X, Yi, Q, Rahimi, K, Rudan, I, and (GHERG), Global Health Epidemiology Research Group
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Surgery - Abstract
OBJECTIVE: To estimate the global and regional prevalence and cases of abdominal aortic aneurysms (AAA) in 2019 and to evaluate major associated factors.SUMMARY BACKGROUND DATA: Understanding the global prevalence of AAA is essential for optimizing health services and reducing mortality from reputed AAA.METHODS: PubMed, MEDLINE and Embase were searched for articles published until Oct 11 2021. Population-based studies that reported AAA prevalence in the general population, defined AAA as an aortic diameter of 30mm or greater with ultrasonography or computed tomography. A multilevel mixed-effects meta-regression approach was used to establish the relation between age and AAA prevalence for high- socio-demographic index (H-SDI) and low-and middle-SDI (LM-SDI) countries. Odds ratios (ORs) of AAA associated factors were pooled using a random-effects method.RESULTS: We retained 54 articles across 19 countries. The global prevalence of AAA among persons aged 30-79 years was 0.92% (95% confidence interval, CI: 0.65-1.30), translating to a total of 35.12 million (95% CI: 24.94-49.80) AAA cases in 2019. Smoking, male sex, family history of AAA, advanced age, hypertension, hypercholesterolemia, obesity, cardiovascular disease, cerebrovascular disease, claudication, peripheral artery disease, pulmonary disease and renal disease were associated with AAA. In 2019, the Western Pacific region (WPR) had the highest AAA prevalence at 1.31% (95% CI: 0.94-1.85), while the African region (AFR) had the lowest prevalence at 0.33% (95% CI: 0.23-0.48).CONCLUSIONS: A substantial proportion of people are affected by AAA. There is a need to optimise epidemiological studies to promptly respond to at-risk and identified cases to improve outcomes.
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- 2022
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12. The promise of digital healthcare technologies.
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Yeung, A.W.K., Torkamani, A., Butte, A.J., Glicksberg, B.S., Schuller, B., Rodriguez, B., Ting, D.S.W., Bates, D., Schaden, E., Peng, H., Willschke, H., Laak, J.A.W.M. van der, Car, J., Rahimi, K., Celi, L.A., Banach, M., Kletecka-Pulker, M., Kimberger, O., Eils, R., Islam, S.M.S., Wong, S.T., Wong, T.Y., Gao, W., Brunak, S., Atanasov, A.G., Yeung, A.W.K., Torkamani, A., Butte, A.J., Glicksberg, B.S., Schuller, B., Rodriguez, B., Ting, D.S.W., Bates, D., Schaden, E., Peng, H., Willschke, H., Laak, J.A.W.M. van der, Car, J., Rahimi, K., Celi, L.A., Banach, M., Kletecka-Pulker, M., Kimberger, O., Eils, R., Islam, S.M.S., Wong, S.T., Wong, T.Y., Gao, W., Brunak, S., and Atanasov, A.G.
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Item does not contain fulltext, Digital health technologies have been in use for many years in a wide spectrum of healthcare scenarios. This narrative review outlines the current use and the future strategies and significance of digital health technologies in modern healthcare applications. It covers the current state of the scientific field (delineating major strengths, limitations, and applications) and envisions the future impact of relevant emerging key technologies. Furthermore, we attempt to provide recommendations for innovative approaches that would accelerate and benefit the research, translation and utilization of digital health technologies.
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- 2023
13. Long-term exposure to road traffic noise and incident heart failure: evidence from UK Biobank
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Yang, T, Hu, X, Wang, J, Rao, S, Cai, YS, Li, G, Huang, J, and Rahimi, K
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Background Evidence on road traffic noise and heart failure (HF) is limited, and little is known on the potential mediation roles of acute myocardial infarction (AMI), hypertension, or diabetes. Objectives The purpose of this study was to evaluate the impacts of long-term road traffic noise exposure on the risk of incident HF considering air pollution, and explore the mediations of the previously mentioned diseases. Methods This prospective study included 424,767 participants without HF at baseline in UK Biobank. The residential-level noise and air pollution exposure was estimated, and the incident HF was identified through linkages with medical records. Cox proportional hazard models were used to estimate HRs. Furthermore, time-dependent mediation was performed. Results During a median 12.5 years of follow-up, 12,817 incident HF were ascertained. The HRs were 1.08 (95% CI: 1.00-1.16) per 10 dB[A] increase in weighted average 24-hour road traffic noise level (Lden), and 1.15 (95% CI: 1.02-1.31) for exposure to Lden >65dB[A] compared with the reference category (Lden ≤55dB[A]), respectively. Furthermore, the strongest combined effects were found in those with both high exposures to road traffic noise and air pollution including fine particles and nitrogen dioxide. Prior AMI before HF within 2 years’ time interval mediated 12.5% of the association of road traffic noise with HF. Conclusions More attention should be paid and a preventive strategy should be considered to alleviate the disease burden of HF related to road traffic noise exposure, especially in participants who survived AMI and developed HF within 2 years.
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- 2023
14. Evaluation of maternal infections during pregnancy and childhood leukaemia in the offspring
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He, J-R, Yu, Y, Fang, F, Gissler, M, Rahimi, K, Hirst, JE, and Dwyer, T
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Importance: Maternal infection is common during pregnancy and is an important potential cause of fetal genetic and immunological abnormalities. Maternal infection has been reported to be associated with childhood leukemia in previous case-control or small cohort studies. Objective: To evaluate the association of maternal infection during pregnancy with childhood leukemia among offspring in a large study. Design, Setting, and Participants: This population-based cohort study used data from 7 Danish national registries (including the Danish Medical Birth Register, the Danish National Patient Registry, the Danish National Cancer Registry, and others) for all live births in Denmark between 1978 and 2015. Swedish registry data for all live births between 1988 and 2014 were used to validate the findings for the Danish cohort. Data were analyzed from December 2019 to December 2021. Exposures: Maternal infection during pregnancy categorized by anatomic locations identified from the Danish National Patient Registry. Main Outcomes and Measures: The primary outcome was any leukemia; secondary outcomes were acute lymphoid leukemia (ALL) and acute myeloid leukemia (AML). Offspring childhood leukemia was identified in the Danish National Cancer Registry. Associations were first assessed in the whole cohort using Cox proportional hazards regression models, adjusted for potential confounders. A sibling analysis was performed to account for unmeasured familial confounding. Results: This study included 2 222 797 children, 51.3% of whom were boys. During the approximately 27 million person-years of follow-up (mean [SD], 12.0 [4.6] years per person), 1307 children were diagnosed with leukemia (ALL, 1050; AML, 165; or other, 92). Children born to mothers with infection during pregnancy had a 35% increased risk of leukemia (adjusted hazard ratio [HR], 1.35 [95% CI, 1.04-1.77]) compared with offspring of mothers without infection. Maternal genital and urinary tract infections were associated with a 142% and 65% increased risk of childhood leukemia, with HRs of 2.42 (95% CI, 1.50-3.92) and 1.65 (95% CI, 1.15-2.36), respectively. No association was observed for respiratory tract, digestive, or other infections. The sibling analysis showed comparable estimates to the whole-cohort analysis. The association patterns for ALL and AML were similar to that for any leukemia. No association was observed for maternal infection and brain tumors, lymphoma, or other childhood cancers. Conclusions and Relevance: In this cohort study of approximately 2.2 million children, maternal genitourinary tract infection during pregnancy was associated with childhood leukemia among offspring. If confirmed in future studies, our findings may have implications for understanding the etiology and developing preventive measures for childhood leukemia.
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- 2023
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15. EFFECTS OF BLOOD PRESSURE LOWERING DRUGS IN HEART FAILURE: A SYSTEMATIC REVIEW AND META-ANALYSIS OF RANDOMISED CONTROLLED TRIALS
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Pinho-Gomes, A.C.P., Azevedo, L., Bidel, Z., Nazarzadeh, M., Canoy, D., Copland, E., Salam, A., Rodgers, A., Kotecha, D., and Rahimi, K.
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- 2019
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16. LONG-TERM BLOOD PRESSURE AND INCIDENT CARDIOVASCULAR DISEASE: RISK PREDICTION USING LARGE-SCALE, ROUTINELY RECORDED CLINICAL DATA
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Solares, J.R. Ayala, Canoy, D., Raimondi, F., Zhu, Y., Hassaine, A., Salimi-Khorshidi, G., Tran, J., Copland, E., Zottoli, M., Gomes, A.-C. Pinho, and Rahimi, K.
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- 2019
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17. BLOOD PRESSURE AND RISK OF VALVULAR HEART DISEASE: A MENDELIAN RANDOMISATION STUDY
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Nazarzadeh, M., Pinho-Gomes, A.-C., Byrne, K. Smith, Raimondi, F., Solares, R.A., Salimi-Khorshidi, G., Tran, J., Zhu, Y., Otto, C.M., and Rahimi, K.
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- 2019
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18. The Blood Pressure Lowering Treatment Trialists’ Collaboration: methodological clarifications of recent reports
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Nazarzadeh, M, Canoy, D, Bidel, Z, Copland, E, Rahimi, K, Teo, K, Davis, BR, Chalmers, J, Pepine, CJ, and Woodward, M
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Cognition ,Cardiovascular Diseases ,Systole ,Physiology ,Data Collection ,Internal Medicine ,Humans ,Blood Pressure ,Cardiology and Cardiovascular Medicine ,Randomized Controlled Trials as Topic - Abstract
Epidemiological evidence has consistently shown that people with higher systolic or diastolic blood pressure are at greater risk of cardiovascular diseases. However, there has been limited randomized evidence to determine the role of blood pressure level at treatment initiation in the reduction of cardiovascular diseases risk. The extent to which other characteristics of individuals, such as prior disease history, age or sex, should be taken into account has also been controversial. Furthermore, effects on less commonly reported efficacy and safety outcomes remain underexplored. The Blood Pressure Lowering Treatment Trialists' Collaboration has collected individual-level participant data from 52 randomized clinical trials, with more than 360 000 participants, and is now the largest source of individual-level data from randomized clinical trials of blood pressure-lowering treatment. This resource provides an unprecedented opportunity to address major areas of uncertainty relating to stratified efficacy and safety of antihypertensive therapy. Recent reports have demonstrated the power of pooled analyses of the Blood Pressure Lowering Treatment Trialists' Collaboration dataset in filling long-standing gaps in our knowledge. However, there have been some misconceptions regarding the methods underpinning the recent reports, which we clarify in this article.
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- 2022
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19. Systolic Blood Pressure and Cardiovascular Risk in Patients With Diabetes: A Prospective Cohort Study
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Rao, S, Li, Y, Nazarzadeh, M, Canoy, D, Mamouei, M, Hassaine, A, Salimi-Khorshidi, G, and Rahimi, K
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Internal Medicine - Abstract
Background: Whether the association between systolic blood pressure (SBP) and risk of cardiovascular disease is monotonic or whether there is a nadir of optimal blood pressure remains controversial. We investigated the association between SBP and cardiovascular events in patients with diabetes across the full spectrum of SBP. Methods: A cohort of 49 000 individuals with diabetes aged 50 to 90 years between 1990 and 2005 was identified from linked electronic health records in the United Kingdom. Associations between SBP and cardiovascular outcomes (ischemic heart disease, heart failure, stroke, and cardiovascular death) were analyzed using a deep learning approach. Results: Over a median follow-up of 7.3 years, 16 378 cardiovascular events were observed. The relationship between SBP and cardiovascular events followed a monotonic pattern, with the group with the lowest baseline SBP of Conclusions: Using deep learning modeling, we found a monotonic relationship between SBP and risk of cardiovascular outcomes in patients with diabetes, without evidence of a J-shaped relationship.
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- 2022
20. Blood pressure and risk of venous thromboembolism: a cohort analysis of 5.5 million UK adults and Mendelian randomization studies
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Nazarzadeh, M, Bidel, Z, Mohseni, H, Canoy, D, Pinho-Gomes, AC, Hassaine, A, Dehghan, A, Tregouet, DA, Smith, NL, Rahimi, K, and Consortium, INVENT
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Physiology ,Physiology (medical) ,Cardiology and Cardiovascular Medicine - Abstract
Evidence for the effect of elevated blood pressure on the risk of venous thromboembolism (VTE) has been conflicting. We sought to assess the association between systolic blood pressure and the risk of VTE.Three complementary studies comprising an observational cohort analysis, a one-sample and two-sample Mendelian randomization were conducted using data from 5,588,280 patients registered in the Clinical Practice Research Datalink (CPRD) dataset and 432,173 UK Biobank participants with valid genetic data. Summary statistics of International Network on Venous Thrombosis (INVENT) genome-wide association meta-analysis was used for two-sample Mendelian randomization. The primary outcome was the first occurrence of VTE event, identified from hospital discharge reports, death registers, and/or primary care records. In the CPRD cohort, 104,017 (1.9%) patients had a first diagnosis of VTE during the 9.6-year follow-up. Each 20 mmHg increase in systolic blood pressure was associated with a 7% lower risk of VTE (hazard ratio 0.93, 95% CI [0.92 to 0.94]). Statistically significant interactions were found for sex and body mass index, but not for age and subtype of VTE (pulmonary embolism and deep venous thrombosis). Mendelian randomization studies provided strong evidence for the association between systolic blood pressure and VTE, both in the one-sample (odds ratio [OR]: 0.69 [95% CI 0.57 to 0.83] and two-sample analyses (OR 0.80, 95% CI [0.70 to 0.92]).We found an increased risk of VTE with lower blood pressure and this association was independently confirmed in two Mendelian randomization analyses. The benefits of blood pressure reduction are likely to outweigh the harms in most patient groups, but in people with predisposing factors for VTE, further blood pressure reduction should be made cautiously.In a large-scale population cohort, with over 100,000 first episodes of VTE and a median follow-up of about 10 years, we found a 7% higher risk of VTE for each 20 mmHg lower systolic blood pressure. The association was comparable when we examined pulmonary embolism and deep venous thrombosis separately, and persisted after taking into account age and other factors, including anticoagulant treatment during follow-up. These results were confirmed using two independent Mendelian randomization studies. Although the beneficial effects of blood pressure-lowering are likely to outweigh any harms in most patient groups, clinicians should be aware of the potential risk of VTE from antihypertensive therapy, in particular in people who have predisposing factors for VTE.
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- 2022
21. AT-RISK: AuToimmune disorders and cardiovascular RISK
- Author
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Conrad, N, primary, Verbeke, G, additional, Molenberghs, G, additional, Goetschalckx, L, additional, Callender, T, additional, Rahimi, K, additional, Mason, J C, additional, McMurray, J J V, additional, and Verbakel, J Y, additional
- Published
- 2022
- Full Text
- View/download PDF
22. Age-stratified and blood-pressure-stratified effects of blood-pressure-lowering pharmacotherapy for the prevention of cardiovascular disease and death: an individual participant-level data meta-analysis
- Author
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Rahimi, K, Bidel, Z, Nazarzadeh, M, Copland, E, Canoy, D, Wamil, M, Majert, J, Mcmanus, R, Adler, A, Agodoa, L, Algra, A, Asselbergs, F, Beckett, N, Berge, E, Black, H, Boersma, E, Brouwers, F, Brown, M, Brugts, J, Bulpitt, C, Byington, R, Cushman, W, Cutler, J, Devereaux, R, Dwyer, J, Estacio, R, Fagard, R, Fox, K, Fukui, T, Gupta, A, Holman, R, Imai, Y, Ishii, M, Julius, S, Kanno, Y, Kjeldsen, S, Kostis, J, Kuramoto, K, Lanke, J, Lewis, E, Lewis, J, Lievre, M, Lindholm, L, Lueders, S, Macmahon, S, Mancia, G, Matsuzaki, M, Mehlum, M, Nissen, S, Ogawa, H, Ogihara, T, Ohkubo, T, Palmer, C, Patel, A, Pfeffer, M, Pitt, B, Poulter, N, Rakugi, H, Reboldi, G, Reid, C, Remuzzi, G, Ruggenenti, P, Saruta, T, Schrader, J, Schrier, R, Sever, P, Sleight, P, Staessen, J, Suzuki, H, Thijs, L, Ueshima, K, Umemoto, S, van Gilst, W, Verdecchia, P, Wachtell, K, Whelton, P, Wing, L, Woodward, M, Yui, Y, Yusuf, S, Zanchetti, A, Zhang, Z, Anderson, C, Baigent, C, Brenner, B, Collins, R, de Zeeuw, D, Lubsen, J, Malacco, E, Neal, B, Perkovic, V, Rodgers, A, Rothwell, P, Salimi-Khorshidi, G, Sundstrom, J, Turnbull, F, Viberti, G, Wang, J, Chalmers, J, Davis, B, Pepine, C, Teo, K, Rahimi K., Bidel Z., Nazarzadeh M., Copland E., Canoy D., Wamil M., Majert J., McManus R., Adler A., Agodoa L., Algra A., Asselbergs F. W., Beckett N. S., Berge E., Black H., Boersma E., Brouwers F. P. J., Brown M., Brugts J. J., Bulpitt C. J., Byington R. P., Cushman W. C., Cutler J., Devereaux R. B., Dwyer J. P., Estacio R., Fagard R., Fox K., Fukui T., Gupta A. K., Holman R. R., Imai Y., Ishii M., Julius S., Kanno Y., Kjeldsen S. E., Kostis J., Kuramoto K., Lanke J., Lewis E., Lewis J. B., Lievre M., Lindholm L. H., Lueders S., MacMahon S., Mancia G., Matsuzaki M., Mehlum M. H., Nissen S., Ogawa H., Ogihara T., Ohkubo T., Palmer C. R., Patel A., Pfeffer M. A., Pitt B., Poulter N. R., Rakugi H., Reboldi G., Reid C., Remuzzi G., Ruggenenti P., Saruta T., Schrader J., Schrier R., Sever P., Sleight P., Staessen J. A., Suzuki H., Thijs L., Ueshima K., Umemoto S., van Gilst W. H., Verdecchia P., Wachtell K., Whelton P., Wing L., Woodward M., Yui Y., Yusuf S., Zanchetti A., Zhang Z. -Y., Anderson C., Baigent C., Brenner B. M., Collins R., de Zeeuw D., Lubsen J., Malacco E., Neal B., Perkovic V., Rodgers A., Rothwell P., Salimi-Khorshidi G., Sundstrom J., Turnbull F., Viberti G., Wang J., Chalmers J., Davis B. R., Pepine C. J., Teo K. K., Rahimi, K, Bidel, Z, Nazarzadeh, M, Copland, E, Canoy, D, Wamil, M, Majert, J, Mcmanus, R, Adler, A, Agodoa, L, Algra, A, Asselbergs, F, Beckett, N, Berge, E, Black, H, Boersma, E, Brouwers, F, Brown, M, Brugts, J, Bulpitt, C, Byington, R, Cushman, W, Cutler, J, Devereaux, R, Dwyer, J, Estacio, R, Fagard, R, Fox, K, Fukui, T, Gupta, A, Holman, R, Imai, Y, Ishii, M, Julius, S, Kanno, Y, Kjeldsen, S, Kostis, J, Kuramoto, K, Lanke, J, Lewis, E, Lewis, J, Lievre, M, Lindholm, L, Lueders, S, Macmahon, S, Mancia, G, Matsuzaki, M, Mehlum, M, Nissen, S, Ogawa, H, Ogihara, T, Ohkubo, T, Palmer, C, Patel, A, Pfeffer, M, Pitt, B, Poulter, N, Rakugi, H, Reboldi, G, Reid, C, Remuzzi, G, Ruggenenti, P, Saruta, T, Schrader, J, Schrier, R, Sever, P, Sleight, P, Staessen, J, Suzuki, H, Thijs, L, Ueshima, K, Umemoto, S, van Gilst, W, Verdecchia, P, Wachtell, K, Whelton, P, Wing, L, Woodward, M, Yui, Y, Yusuf, S, Zanchetti, A, Zhang, Z, Anderson, C, Baigent, C, Brenner, B, Collins, R, de Zeeuw, D, Lubsen, J, Malacco, E, Neal, B, Perkovic, V, Rodgers, A, Rothwell, P, Salimi-Khorshidi, G, Sundstrom, J, Turnbull, F, Viberti, G, Wang, J, Chalmers, J, Davis, B, Pepine, C, Teo, K, Rahimi K., Bidel Z., Nazarzadeh M., Copland E., Canoy D., Wamil M., Majert J., McManus R., Adler A., Agodoa L., Algra A., Asselbergs F. W., Beckett N. S., Berge E., Black H., Boersma E., Brouwers F. P. J., Brown M., Brugts J. J., Bulpitt C. J., Byington R. P., Cushman W. C., Cutler J., Devereaux R. B., Dwyer J. P., Estacio R., Fagard R., Fox K., Fukui T., Gupta A. K., Holman R. R., Imai Y., Ishii M., Julius S., Kanno Y., Kjeldsen S. E., Kostis J., Kuramoto K., Lanke J., Lewis E., Lewis J. B., Lievre M., Lindholm L. H., Lueders S., MacMahon S., Mancia G., Matsuzaki M., Mehlum M. H., Nissen S., Ogawa H., Ogihara T., Ohkubo T., Palmer C. R., Patel A., Pfeffer M. A., Pitt B., Poulter N. R., Rakugi H., Reboldi G., Reid C., Remuzzi G., Ruggenenti P., Saruta T., Schrader J., Schrier R., Sever P., Sleight P., Staessen J. A., Suzuki H., Thijs L., Ueshima K., Umemoto S., van Gilst W. H., Verdecchia P., Wachtell K., Whelton P., Wing L., Woodward M., Yui Y., Yusuf S., Zanchetti A., Zhang Z. -Y., Anderson C., Baigent C., Brenner B. M., Collins R., de Zeeuw D., Lubsen J., Malacco E., Neal B., Perkovic V., Rodgers A., Rothwell P., Salimi-Khorshidi G., Sundstrom J., Turnbull F., Viberti G., Wang J., Chalmers J., Davis B. R., Pepine C. J., and Teo K. K.
- Abstract
Background: The effects of pharmacological blood-pressure-lowering on cardiovascular outcomes in individuals aged 70 years and older, particularly when blood pressure is not substantially increased, is uncertain. We compared the effects of blood-pressure-lowering treatment on the risk of major cardiovascular events in groups of patients stratified by age and blood pressure at baseline. Methods: We did a meta-analysis using individual participant-level data from randomised controlled trials of pharmacological blood-pressure-lowering versus placebo or other classes of blood-pressure-lowering medications, or between more versus less intensive treatment strategies, which had at least 1000 persons-years of follow-up in each treatment group. Participants with previous history of heart failure were excluded. Data were obtained from the Blood Pressure Lowering Treatment Triallists' Collaboration. We pooled the data and categorised participants into baseline age groups (<55 years, 55–64 years, 65–74 years, 75–84 years, and ≥85 years) and blood pressure categories (in 10 mm Hg increments from <120 mm Hg to ≥170 mm Hg systolic blood pressure and from <70 mm Hg to ≥110 mm Hg diastolic). We used a fixed effects one-stage approach and applied Cox proportional hazard models, stratified by trial, to analyse the data. The primary outcome was defined as either a composite of fatal or non-fatal stroke, fatal or non-fatal myocardial infarction or ischaemic heart disease, or heart failure causing death or requiring hospital admission. Findings: We included data from 358 707 participants from 51 randomised clinical trials. The age of participants at randomisation ranged from 21 years to 105 years (median 65 years [IQR 59–75]), with 42 960 (12·0%) participants younger than 55 years, 128 437 (35·8%) aged 55–64 years, 128 506 (35·8%) 65–74 years, 54 016 (15·1%) 75–84 years, and 4788 (1·3%) 85 years and older. The hazard ratios for the risk of major cardiovascular events per 5 mm Hg
- Published
- 2021
23. THE ASSOCIATION BETWEEN BLOOD PRESSURE AND MULTIMORBIDITY IN INCIDENT HYPERTENSION: A COHORT STUDY
- Author
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Tran, J., Norton, R., and Rahimi, K.
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- 2018
- Full Text
- View/download PDF
24. Road traffic noise and incidence of primary hypertension: a prospective analysis in UK Biobank
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Huang, J, Yang, T, Gulliver, J, Hansell, AL, Mamouei, M, Cai, YS, and Rahimi, K
- Subjects
General Earth and Planetary Sciences ,General Environmental Science - Abstract
Background:The quality of evidence regarding the associations between road traffic noise and hypertension is low due to the limitations of cross-sectional study design, and the role of air pollution remains to be further clarified. Objectives:The purpose of this study was to evaluate the associations of long-term road traffic noise exposure with incident primary hypertension; we conducted a prospective population-based analysis in UK Biobank. Methods:Road traffic noise was estimated at baseline residential address using the common noise assessment method model. Incident hypertension was ascertained through linkage with medical records. Cox proportional hazard models were used to estimate hazard ratios (HRs) for association in an analytical sample size of over 240,000 participants free of hypertension at baseline, adjusting for covariates determined via directed acyclic graph. Results:During a median of 8.1 years follow-up, 21,140 incident primary hypertension (International Classification of Diseases-10th Revision [ICD-10]: I10) were ascertained. The HR for a 10 dB[A] increment in mean weighted average 24-hour road traffic noise level (Lden) exposure was 1.07 (95% CI: 1.02-1.13). A dose-response relationship was found, with HR of 1.13 (95% CI: 1.03-1.25) forLden>65 dB[A] vs ≤55 dB[A] (Pfor trend 2.5) and nitrogen dioxide (NO2). Furthermore, high exposure to both road traffic noise and air pollution was associated with the highest hypertension risk. Conclusions:Long-term exposure to road traffic noise was associated with increased incidence of primary hypertension, and the effect estimates were stronger in presence of higher air pollution.
- Published
- 2022
- Full Text
- View/download PDF
25. P12-27 THP-1 cells as a suitable screening tool for NLRP3 inflammasome activation applied to micro- and nanoplastics
- Author
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Busch, M., primary, Bredeck, G., additional, Waag, F., additional, Rahimi, K., additional, Ramachandran, H., additional, Bessel, T., additional, Barcikowski, S., additional, Herrmann, A., additional, Rossi, A., additional, and Schins, R., additional
- Published
- 2022
- Full Text
- View/download PDF
26. The Influence of Calcific Aortic Stenosis on Atrioventricular Conduction: A Combined Observational and Mendelian Randomisation Study
- Author
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Rao, K., Ciofani, J., Han, D., Nazarzadeh, M., Rahimi, K., Baer, A., Allahwala, U., Hansen, P., and Bhindi, R.
- Published
- 2024
- Full Text
- View/download PDF
27. Air pollution and hospitalization of patients with idiopathic pulmonary fibrosis in Beijing: a time-series study
- Author
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Liang, L, Cai, Y, Lyu, B, Zhang, D, Chu, S, Jing, H, Rahimi, K, and Tong, Z
- Subjects
Hospitalization ,Male ,Air Pollutants ,China ,Air Pollution ,Beijing ,Humans ,Particulate Matter ,Environmental Exposure ,Idiopathic Pulmonary Fibrosis - Abstract
Background A small number of studies suggested that air pollution was associated with idiopathic pulmonary fibrosis (IPF) exacerbation, incidence and mortality. However, no studies to date were conducted in regions where air pollution is substantial. We aimed to investigate whether there are associations between acute increases in air pollution and hospitalization of patients with a confirmed primary diagnosis of IPF in Beijing. Methods Daily count of IPF hospitalizations (International Classification of Disease-10th Revision, J84.1) was obtained from an administrative database for 2013–2017 while daily city-wide average concentrations of PM10, PM2.5, NO2, Ozone, SO2 were obtained from 35 municipal monitoring stations for the same period. The association between daily IPF hospitalization and average concentration of each pollutant was analyzed with a generalized additive model estimating Poisson distribution. Results Daily 24-h mean PM2.5 concentration during 2013–2017 was 76.7 μg/m3. The relative risk (RR) of IPF hospitalization per interquartile range (IQR) higher (72 μg/m3) in PM2.5 was 1.049 (95% CI 1.024–1.074) and 1.031 (95% CI 1.007–1.056) for lag0 and moving averages 0–1 days respectively. No significant associations were observed for other lags. Statistically significant positive associations were also observed at lag0 with SO2, Ozone and NO2 (in men only). Positive associations were seen at moving averages 0–30 days for PM10 (RR per 86 μg/m3: 1.021, 95% CI 0.994–1.049), NO2 (RR per 30 μg/m3: 1.029, 95% CI 0.999–1.060), and SO2 (RR per 15 μg/m3: 1.060 (95% CI 1.025–1.097), but not with PM2.5 or Ozone. Conclusions Despite improvement in air quality since the implementation of clean air policy in 2013, acute exposure to higher levels of air pollution is significantly associated with IPF hospitalization in Beijing. Air quality policy should be continuously enforced to protect vulnerable IPF populations as well as the general public.
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- 2022
- Full Text
- View/download PDF
28. A Comparison of a Novel Stretchable Smart Patch for Measuring Runner’s Step Rates with Existing Measuring Technologies
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Verdel, Nina, Drobnić, M., Maslik, J., Rahimi, K. B., Tantillo, G., Gumiero, A., Hjort, K., Holmberg, H. -C, Supej, Matej, Verdel, Nina, Drobnić, M., Maslik, J., Rahimi, K. B., Tantillo, G., Gumiero, A., Hjort, K., Holmberg, H. -C, and Supej, Matej
- Abstract
A novel wearable smart patch can monitor various aspects of physical activity, including the dynamics of running, but like any new device developed for such applications, it must first be tested for validity. Here, we compare the step rate while running in place as measured by this smart patch to the corresponding values obtained utilizing "gold standard" MEMS accelerometers in combination with bilateral force plates equipped with HBM load cells, as well as the values provided by a three-dimensional motion capture system and the Garmin Dynamics Running Pod. The 15 healthy, physically active volunteers (age = 23 ± 3 years; body mass = 74 ± 17 kg, height = 176 ± 10 cm) completed three consecutive 20-s bouts of running in place, starting at low, followed by medium, and finally at high intensity, all self-chosen. Our major findings are that the rates of running in place provided by all four systems were valid, with the notable exception of the fast step rate as measured by the Garmin Running Pod. The lowest mean bias and LoA for these measurements at all rates were associated consistently with the smart patch.
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- 2022
- Full Text
- View/download PDF
29. Elevated blood pressure, antihypertensive medications and bone health in the population:revisiting old hypotheses and exploring future research directions
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Canoy, D. (Dexter), Harvey, N.C. (Nicholas), Prieto-Alhambra, D. (Daniel), Cooper, C. (Cyrus), Meyer, H.E. (Haakon), Åsvold, B. O., Nazarzadeh, M., Rahimi, K., Canoy, D. (Dexter), Harvey, N.C. (Nicholas), Prieto-Alhambra, D. (Daniel), Cooper, C. (Cyrus), Meyer, H.E. (Haakon), Åsvold, B. O., Nazarzadeh, M., and Rahimi, K.
- Abstract
Blood pressure and bone metabolism appear to share commonalities in their physiologic regulation. Specific antihypertensive drug classes may also influence bone mineral density. However, current evidence from existing observational studies and randomised trials is insufficient to establish causal associations for blood pressure and use of blood pressure–lowering drugs with bone health outcomes, particularly with the risks of osteoporosis and fractures. The availability and access to relevant large-scale biomedical data sources as well as developments in study designs and analytical approaches provide opportunities to examine the nature of the association between blood pressure and bone health more reliably and in greater detail than has ever been possible. It is unlikely that a single source of data or study design can provide a definitive answer. However, with appropriate considerations of the strengths and limitations of the different data sources and analytical techniques, we should be able to advance our understanding of the role of raised blood pressure and its drug treatment on the risks of low bone mineral density and fractures. As elevated blood pressure is highly prevalent and blood pressure–lowering drugs are widely prescribed, even small effects of these exposures on bone health outcomes could be important at a population level.
- Published
- 2022
30. IDF21-0652 Blood pressure-lowering for prevention of major cardiovascular diseases in persons with and without type 2 diabetes
- Author
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Nazarzadeh, M. and Rahimi, K.
- Published
- 2022
- Full Text
- View/download PDF
31. Investigating the association of environmental exposures and all-cause mortality in the UK Biobank using sparse principal component analysis
- Author
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Mamouei, M, Zhu, Y, Nazarzadeh, M, Rahimi, K, Hassaine, A, Salimi-Khorshidi, G, and Cai, Y
- Subjects
Principal Component Analysis ,Multidisciplinary ,Humans ,Environmental Exposure ,Environmental Health ,United Kingdom ,Biological Specimen Banks - Abstract
Multicollinearity refers to the presence of collinearity between multiple variables and renders the results of statistical inference erroneous (Type II error). This is particularly important in environmental health research where multicollinearity can hinder inference. To address this, correlated variables are often excluded from the analysis, limiting the discovery of new associations. An alternative approach to address this problem is the use of principal component analysis. This method, combines and projects a group of correlated variables onto a new orthogonal space. While this resolves the multicollinearity problem, it poses another challenge in relation to interpretability of results. Standard hypothesis testing methods can be used to evaluate the association of projected predictors, called principal components, with the outcomes of interest, however, there is no established way to trace the significance of principal components back to individual variables. To address this problem, we investigated the use of sparse principal component analysis which enforces a parsimonious projection. We hypothesise that this parsimony could facilitate the interpretability of findings. To this end, we investigated the association of 20 environmental predictors with all-cause mortality adjusting for demographic, socioeconomic, physiological, and behavioural factors. The study was conducted in a cohort of 379,690 individuals in the UK. During an average follow-up of 8.05 years (3,055,166 total person-years), 14,996 deaths were observed. We used Cox regression models to estimate the hazard ratio (HR) and 95% confidence intervals (CI). The Cox models were fitted to the standardised environmental predictors (a) without any transformation (b) transformed with PCA, and (c) transformed with SPCA. The comparison of findings underlined the potential of SPCA for conducting inference in scenarios where multicollinearity can increase the risk of Type II error. Our analysis unravelled a significant association between average noise pollution and increased risk of all-cause mortality. Specifically, those in the upper deciles of noise exposure have between 5 and 10% increased risk of all-cause mortality compared to the lowest decile.
- Published
- 2022
32. Evaluation end-of-life power generation of a satellite solar array
- Author
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Taherbaneh, Mohsen, Ghafooifard, H., Rezaie, A.H., and Rahimi, K.
- Published
- 2011
- Full Text
- View/download PDF
33. Risk prediction in patients with heart failure: a systematic review and analysis
- Author
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Bennett, D, Rahimi, K, Conrad, N, Williams, TM, Basu, J, Dwight, J, Woodward, M, Patel, A, McMurray, J, and MacMahon, S
- Subjects
Heart Failure ,Male ,Exercise Tolerance ,Sodium ,Age Factors ,Blood Pressure ,Comorbidity ,Prognosis ,Risk Assessment ,Severity of Illness Index ,Body Mass Index ,Decision Support Techniques ,Hospitalization ,Sex Factors ,Risk Factors ,Natriuretic Peptide, Brain ,Diabetes Mellitus ,Humans ,Female ,Renal Insufficiency, Chronic - Abstract
Objectives: This study sought to review the literature for risk prediction models in patients with heart failure and to identify the most consistently reported independent predictors of risk across models. Background: Risk assessment provides information about patient prognosis, guides decision making about the type and intensity of care, and enables better understanding of provider performance. Methods: MEDLINE and EMBASE were searched from January 1995 to March 2013, followed by hand searches of the retrieved reference lists. Studies were eligible if they reported at least 1 multivariable model for risk prediction of death, hospitalization, or both in patients with heart failure and reported model performance. We ranked reported individual risk predictors by their strength of association with the outcome and assessed the association of model performance with study characteristics. Results: Sixty-four main models and 50 modifications from 48 studies met the inclusion criteria. Of the 64 main models, 43 models predicted death, 10 hospitalization, and 11 death or hospitalization. The discriminatory ability of the models for prediction of death appeared to be higher than that for prediction of death or hospitalization or prediction of hospitalization alone (p = 0.0003). A wide variation between studies in clinical settings, population characteristics, sample size, and variables used for model development was observed, but these features were not significantly associated with the discriminatory performance of the models. A few strong predictors emerged for prediction of death; the most consistently reported predictors were age, renal function, blood pressure, blood sodium level, left ventricular ejection fraction, sex, brain natriuretic peptide level, New York Heart Association functional class, diabetes, weight or body mass index, and exercise capacity. Conclusions: There are several clinically useful and well-validated death prediction models in patients with heart failure. Although the studies differed in many respects, the models largely included a few common markers of risk.
- Published
- 2021
34. Elevated blood pressure, antihypertensive medications and bone health in the population: revisiting old hypotheses and exploring future research directions
- Author
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Canoy, D., primary, Harvey, N. C., additional, Prieto-Alhambra, D., additional, Cooper, C., additional, Meyer, H. E., additional, Åsvold, B. O., additional, Nazarzadeh, M., additional, and Rahimi, K., additional
- Published
- 2021
- Full Text
- View/download PDF
35. Antihypertensive treatment and risk of cancer: individual participant data meta-analysis of randomized clinical trials
- Author
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Narzarzedah, M, Canoy, D, Ramakrishnan, R, Rahimi, K, and Bidel, Z
- Abstract
Background: Some studies have suggested a link between antihypertensive medication and cancer, but the evidence is so far inconclusive. Thus, we aimed to investigate this association in a large individual patient data meta-analysis of randomised clinical trials. Methods: We searched PubMed, MEDLINE, The Cochrane Central Register of Controlled Trials, and ClinicalTrials.gov from Jan 1, 1966, to Sept 1, 2019, to identify potentially eligible randomised controlled trials. Eligible studies were randomised controlled trials comparing one blood pressure lowering drug class with a placebo, inactive control, or other blood pressure lowering drug. We also required that trials had at least 1000 participant years of follow-up in each treatment group. Trials without cancer event information were excluded. We requested individual participant data from the authors of eligible trials. We pooled individual participant-level data from eligible trials and assessed the effects of angiotensin-converting enzyme inhibitors (ACEIs), angiotensin II receptor blockers (ARBs), β blockers, calcium channel blockers, and thiazide diuretics on cancer risk in one-stage individual participant data and network meta-analyses. Cause-specific fixed-effects Cox regression models, stratified by trial, were used to calculate hazard ratios (HRs). The primary outcome was any cancer event, defined as the first occurrence of any cancer diagnosed after randomisation. This study is registered with PROSPERO (CRD42018099283). Findings: 33 trials met the inclusion criteria, and included 260 447 participants with 15 012 cancer events. Median follow-up of included participants was 4·2 years (IQR 3·0–5·0). In the individual participant data meta-analysis comparing each drug class with all other comparators, no associations were identified between any antihypertensive drug class and risk of any cancer (HR 0·99 [95% CI 0·95–1·04] for ACEIs; 0·96 [0·92–1·01] for ARBs; 0·98 [0·89–1·07] for β blockers; 1·01 [0·95–1·07] for thiazides), with the exception of calcium channel blockers (1·06 [1·01–1·11]). In the network meta-analysis comparing drug classes against placebo, we found no excess cancer risk with any drug class (HR 1·00 [95% CI 0·93–1·09] for ACEIs; 0·99 [0·92–1·06] for ARBs; 0·99 [0·89–1·11] for β blockers; 1·04 [0·96–1·13] for calcium channel blockers; 1·00 [0·90–1·10] for thiazides). Interpretation: We found no consistent evidence that antihypertensive medication use had any effect on cancer risk. Although such findings are reassuring, evidence for some comparisons was insufficient to entirely rule out excess risk, in particular for calcium channel blockers. Funding: British Heart Foundation, National Institute for Health Research, Oxford Martin School.
- Published
- 2021
36. Refined cut-off for TP53 immunohistochemistry improves prediction of TP53 mutation status in ovarian mucinous tumors: implications for outcome analyses.
- Author
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Friedlander M., Russell P., Links M., Grygiel J., Hill J., Byth K., Jaworski R., Harnett P., Wain G., Ward B., Papadimos D., Crandon A., Cummings M., Horwood K., Obermair A., Perrin L., Wyld D., Nicklin J., Davy M., Oehler M.K., Hall C., Dodd T., Healy T., Pittman K., Henderson D., Miller J., Pierdes J., Blomfield P., Challis D., McIntosh R., Parker A., Brown B., Rome R., Allen D., Grant P., Hyde S., Laurie R., Robbie M., Healy D., Jobling T., Manolitsas T., McNealage J., Rogers P., Susil B., Sumithran E., Simpson I., Phillips K., Rischin D., Fox S., Johnson D., Lade S., Loughrey M., O'Callaghan N., Murray W., Waring P., Billson V., Pyman J., Neesham D., Quinn M., Underhill C., Bell R., Ng L.F., Blum R., Ganju V., Hammond I., Leung Y., McCartney A., Buck M., Haviv I., Purdie D., Whiteman D., Zeps N., Kaufmann S., Meagher N.S., Ramus S.J., Campbell I., Cheasley D., Wakefield M.J., Ryland G.L., Allan P.E., Alsop K., Ananda S., Anglesio M.S., Au-Yeung G., Bohm M., Bowtell D.D.L., Brand A., Chenevix-Trench G., Christie M., Chiew Y.-E., Churchman M., DeFazio A., Dudley R., Fairweather N., Fereday S., Fox S.B., Gilks C.B., Gourley C., Hacker N.F., Hadley A.M., Hendley J., Ho G.-Y., Huntsman D.G., Hunter S.M., Jobling T.W., Kalli K.R., Kaufmann S.H., Kennedy C.J., Kobel M., Le Page C., McNally O.M., McAlpine J.N., Mileshkin L., Jan Pyman, Rahimi K., Samimi G., Sharma R., Stephens A.N., Traficante N., Antill Y.C., Scott C.L., Campbell I.G., Gorringe K.L., Kang E.Y., LePage C., da Cunha Torres M., Rowley S., Salazar C., Xing Z., Allan P., Mes-Masson A.-M., Provencher D.M., Kelemen L.E., Fasching P.A., Doherty J.A., Goodman M.T., Goode E.L., Deen S., Pharoah P.D.P., Brenton J.D., Sieh W., Mateoiu C., Sundfeldt K., Cook L.S., Le N.D., Bowtell D., Green A., Webb P., Gertig D., Moore S., Hung J., Harrap K., Sadkowsky T., Pandeya N., Malt M., Mellon A., Robertson R., Bergh T.V., Jones M., Mackenzie P., Maidens J., Nattress K., Chiew Y.E., Stenlake A., Sullivan H., Alexander B., Ashover P., Brown S., Corrish T., Green L., Jackman L., Ferguson K., Martin K., Martyn A., Ranieri B., White J., Jayde V., Mamers P., Bowes L., Galletta L., Giles D., Schmidt T., Shirley H., Ball C., Young C., Viduka S., Tran H., Bilic S., Glavinas L., Brooks J., Stuart-Harris R., Kirsten F., Rutovitz J., Clingan P., Glasgow A., Proietto A., Braye S., Otton G., Shannon J., Bonaventura T., Stewart J., Begbie S., Bell D., Baron-Hay S., Ferrier A., Gard G., Nevell D., Pavlakis N., Valmadre S., Young B., Camaris C., Crouch R., Edwards L., Hacker N., Marsden D., Robertson G., Beale P., Beith J., Carter J., Dalrymple C., Houghton R., Friedlander M., Russell P., Links M., Grygiel J., Hill J., Byth K., Jaworski R., Harnett P., Wain G., Ward B., Papadimos D., Crandon A., Cummings M., Horwood K., Obermair A., Perrin L., Wyld D., Nicklin J., Davy M., Oehler M.K., Hall C., Dodd T., Healy T., Pittman K., Henderson D., Miller J., Pierdes J., Blomfield P., Challis D., McIntosh R., Parker A., Brown B., Rome R., Allen D., Grant P., Hyde S., Laurie R., Robbie M., Healy D., Jobling T., Manolitsas T., McNealage J., Rogers P., Susil B., Sumithran E., Simpson I., Phillips K., Rischin D., Fox S., Johnson D., Lade S., Loughrey M., O'Callaghan N., Murray W., Waring P., Billson V., Pyman J., Neesham D., Quinn M., Underhill C., Bell R., Ng L.F., Blum R., Ganju V., Hammond I., Leung Y., McCartney A., Buck M., Haviv I., Purdie D., Whiteman D., Zeps N., Kaufmann S., Meagher N.S., Ramus S.J., Campbell I., Cheasley D., Wakefield M.J., Ryland G.L., Allan P.E., Alsop K., Ananda S., Anglesio M.S., Au-Yeung G., Bohm M., Bowtell D.D.L., Brand A., Chenevix-Trench G., Christie M., Chiew Y.-E., Churchman M., DeFazio A., Dudley R., Fairweather N., Fereday S., Fox S.B., Gilks C.B., Gourley C., Hacker N.F., Hadley A.M., Hendley J., Ho G.-Y., Huntsman D.G., Hunter S.M., Jobling T.W., Kalli K.R., Kaufmann S.H., Kennedy C.J., Kobel M., Le Page C., McNally O.M., McAlpine J.N., Mileshkin L., Jan Pyman, Rahimi K., Samimi G., Sharma R., Stephens A.N., Traficante N., Antill Y.C., Scott C.L., Campbell I.G., Gorringe K.L., Kang E.Y., LePage C., da Cunha Torres M., Rowley S., Salazar C., Xing Z., Allan P., Mes-Masson A.-M., Provencher D.M., Kelemen L.E., Fasching P.A., Doherty J.A., Goodman M.T., Goode E.L., Deen S., Pharoah P.D.P., Brenton J.D., Sieh W., Mateoiu C., Sundfeldt K., Cook L.S., Le N.D., Bowtell D., Green A., Webb P., Gertig D., Moore S., Hung J., Harrap K., Sadkowsky T., Pandeya N., Malt M., Mellon A., Robertson R., Bergh T.V., Jones M., Mackenzie P., Maidens J., Nattress K., Chiew Y.E., Stenlake A., Sullivan H., Alexander B., Ashover P., Brown S., Corrish T., Green L., Jackman L., Ferguson K., Martin K., Martyn A., Ranieri B., White J., Jayde V., Mamers P., Bowes L., Galletta L., Giles D., Schmidt T., Shirley H., Ball C., Young C., Viduka S., Tran H., Bilic S., Glavinas L., Brooks J., Stuart-Harris R., Kirsten F., Rutovitz J., Clingan P., Glasgow A., Proietto A., Braye S., Otton G., Shannon J., Bonaventura T., Stewart J., Begbie S., Bell D., Baron-Hay S., Ferrier A., Gard G., Nevell D., Pavlakis N., Valmadre S., Young B., Camaris C., Crouch R., Edwards L., Hacker N., Marsden D., Robertson G., Beale P., Beith J., Carter J., Dalrymple C., and Houghton R.
- Abstract
TP53 mutations are implicated in the progression of mucinous borderline tumors (MBOT) to mucinous ovarian carcinomas (MOC). Optimized immunohistochemistry (IHC) for TP53 has been established as a proxy for the TP53 mutation status in other ovarian tumor types. We aimed to confirm the ability of TP53 IHC to predict TP53 mutation status in ovarian mucinous tumors and to evaluate the association of TP53 mutation status with survival among patients with MBOT and MOC. Tumor tissue from an initial cohort of 113 women with MBOT/MOC was stained with optimized IHC for TP53 using tissue microarrays (75.2%) or full sections (24.8%) and interpreted using established criteria as normal or abnormal (overexpression, complete absence, or cytoplasmic). Cases were considered concordant if abnormal IHC staining predicted deleterious TP53 mutations. Discordant tissue microarray cases were re-evaluated on full sections and interpretational criteria were refined. The initial cohort was expanded to a total of 165 MBOT and 424 MOC for the examination of the association of survival with TP53 mutation status, assessed either by TP53 IHC and/or sequencing. Initially, 82/113 (72.6%) cases were concordant using the established criteria. Refined criteria for overexpression to account for intratumoral heterogeneity and terminal differentiation improved concordance to 93.8% (106/113). In the expanded cohort, 19.4% (32/165) of MBOT showed evidence for TP53 mutation and this was associated with a higher risk of recurrence, disease-specific death, and all-cause mortality (overall survival: HR = 4.6, 95% CI 1.5-14.3, p = 0.0087). Within MOC, 61.1% (259/424) harbored a TP53 mutation, but this was not associated with survival (overall survival, p = 0.77). TP53 IHC is an accurate proxy for TP53 mutation status with refined interpretation criteria accounting for intratumoral heterogeneity and terminal differentiation in ovarian mucinous tumors. TP53 mutation status is an important biomarker to identify MB
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- 2021
37. Correction: Accelerometer measured physical activity and the incidence of cardiovascular disease: Evidence from the UK Biobank cohort study.
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Ramakrishnan, R, Doherty, A, Smith-Byrne, K, Rahimi, K, Bennett, D, Woodward, M, Walmsley, R, Dwyer, T, Ramakrishnan, R, Doherty, A, Smith-Byrne, K, Rahimi, K, Bennett, D, Woodward, M, Walmsley, R, and Dwyer, T
- Abstract
[This corrects the article DOI: 10.1371/journal.pmed.1003487.].
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- 2021
38. Accelerometer measured physical activity and the incidence of cardiovascular disease: Evidence from the UK Biobank cohort study.
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Paluch, A, Ramakrishnan, R, Doherty, A, Smith-Byrne, K, Rahimi, K, Bennett, D, Woodward, M, Walmsley, R, Dwyer, T, Paluch, A, Ramakrishnan, R, Doherty, A, Smith-Byrne, K, Rahimi, K, Bennett, D, Woodward, M, Walmsley, R, and Dwyer, T
- Abstract
BACKGROUND: Higher levels of physical activity (PA) are associated with a lower risk of cardiovascular disease (CVD). However, uncertainty exists on whether the inverse relationship between PA and incidence of CVD is greater at the highest levels of PA. Past studies have mostly relied on self-reported evidence from questionnaire-based PA, which is crude and cannot capture all PA undertaken. We investigated the association between accelerometer-measured moderate, vigorous, and total PA and incident CVD. METHODS AND FINDINGS: We obtained accelerometer-measured moderate-intensity and vigorous-intensity physical activities and total volume of PA, over a 7-day period in 2013-2015, for 90,211 participants without prior or concurrent CVD in the UK Biobank cohort. Participants in the lowest category of total PA smoked more, had higher body mass index and C-reactive protein, and were diagnosed with hypertension. PA was associated with 3,617 incident CVD cases during 440,004 person-years of follow-up (median (interquartile range [IQR]): 5.2 (1.2) years) using Cox regression models. We found a linear dose-response relationship for PA, whether measured as moderate-intensity, vigorous-intensity, or as total volume, with risk of incident of CVD. Hazard ratios (HRs) and 95% confidence intervals for increasing quarters of the PA distribution relative to the lowest fourth were for moderate-intensity PA: 0.71 (0.65, 0.77), 0.59 (0.54, 0.65), and 0.46 (0.41, 0.51); for vigorous-intensity PA: 0.70 (0.64, 0.77), 0.54 (0.49,0.59), and 0.41 (0.37,0.46); and for total volume of PA: 0.73 (0.67, 0.79), 0.63 (0.57, 0.69), and 0.47 (0.43, 0.52). We took account of potential confounders but unmeasured confounding remains a possibility, and while removal of early deaths did not affect the estimated HRs, we cannot completely dismiss the likelihood that reverse causality has contributed to the findings. Another possible limitation of this work is the quantification of PA intensity-levels based on
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- 2021
39. Reallocation of time between device-measured movement behaviours and risk of incident cardiovascular disease.
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Walmsley, R, Chan, S, Smith-Byrne, K, Ramakrishnan, R, Woodward, M, Rahimi, K, Dwyer, T, Bennett, D, Doherty, A, Walmsley, R, Chan, S, Smith-Byrne, K, Ramakrishnan, R, Woodward, M, Rahimi, K, Dwyer, T, Bennett, D, and Doherty, A
- Abstract
OBJECTIVE: To improve classification of movement behaviours in free-living accelerometer data using machine-learning methods, and to investigate the association between machine-learned movement behaviours and risk of incident cardiovascular disease (CVD) in adults. METHODS: Using free-living data from 152 participants, we developed a machine-learning model to classify movement behaviours (moderate-to-vigorous physical activity behaviours (MVPA), light physical activity behaviours, sedentary behaviour, sleep) in wrist-worn accelerometer data. Participants in UK Biobank, a prospective cohort, were asked to wear an accelerometer for 7 days, and we applied our machine-learning model to classify their movement behaviours. Using compositional data analysis Cox regression, we investigated how reallocating time between movement behaviours was associated with CVD incidence. RESULTS: In leave-one-participant-out analysis, our machine-learning method classified free-living movement behaviours with mean accuracy 88% (95% CI 87% to 89%) and Cohen's kappa 0.80 (95% CI 0.79 to 0.82). Among 87 498 UK Biobank participants, there were 4105 incident CVD events. Reallocating time from any behaviour to MVPA, or reallocating time from sedentary behaviour to any behaviour, was associated with lower CVD risk. For an average individual, reallocating 20 min/day to MVPA from all other behaviours proportionally was associated with 9% (95% CI 7% to 10%) lower risk, while reallocating 1 hour/day to sedentary behaviour from all other behaviours proportionally was associated with 5% (95% CI 3% to 7%) higher risk. CONCLUSION: Machine-learning methods classified movement behaviours accurately in free-living accelerometer data. Reallocating time from other behaviours to MVPA, and from sedentary behaviour to other behaviours, was associated with lower risk of incident CVD, and should be promoted by interventions and guidelines.
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- 2021
40. Optimal protamine dosing after cardiopulmonary bypass: The PRODOSE adaptive randomised controlled trial
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Rahimi, K, Miles, LF, Burt, C, Arrowsmith, J, McKie, MA, Villar, SS, Govender, P, Shaylor, R, Tan, Z, De Silva, R, Falter, F, Rahimi, K, Miles, LF, Burt, C, Arrowsmith, J, McKie, MA, Villar, SS, Govender, P, Shaylor, R, Tan, Z, De Silva, R, and Falter, F
- Abstract
BACKGROUND: The dose of protamine required following cardiopulmonary bypass (CPB) is often determined by the dose of heparin required pre-CPB, expressed as a fixed ratio. Dosing based on mathematical models of heparin clearance is postulated to improve protamine dosing precision and coagulation. We hypothesised that protamine dosing based on a 2-compartment model would improve thromboelastography (TEG) parameters and reduce the dose of protamine administered, relative to a fixed ratio. METHODS AND FINDINGS: We undertook a 2-stage, adaptive randomised controlled trial, allocating 228 participants to receive protamine dosed according to a mathematical model of heparin clearance or a fixed ratio of 1 mg of protamine for every 100 IU of heparin required to establish anticoagulation pre-CPB. A planned, blinded interim analysis was undertaken after the recruitment of 50% of the study cohort. Following this, the randomisation ratio was adapted from 1:1 to 1:1.33 to increase recruitment to the superior arm while maintaining study power. At the conclusion of trial recruitment, we had randomised 121 patients to the intervention arm and 107 patients to the control arm. The primary endpoint was kaolin TEG r-time measured 3 minutes after protamine administration at the end of CPB. Secondary endpoints included ratio of kaolin TEG r-time pre-CPB to the same metric following protamine administration, requirement for allogeneic red cell transfusion, intercostal catheter drainage at 4 hours postoperatively, and the requirement for reoperation due to bleeding. The trial was listed on a clinical trial registry (ClinicalTrials.gov Identifier: NCT03532594). Participants were recruited between April 2018 and August 2019. Those in the intervention/model group had a shorter mean kaolin r-time (6.58 [SD 2.50] vs. 8.08 [SD 3.98] minutes; p = 0.0016) post-CPB. The post-protamine thromboelastogram of the model group was closer to pre-CPB parameters (median pre-CPB to post-protamine kaolin r-tim
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- 2021
41. Second asymptomatic carotid surgery trial (ACST-2): a randomised comparison of carotid artery stenting versus carotid endarterectomy
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Halliday, A., Bulbulia, R., Bonati, L. H., Chester, J., Cradduck-Bamford, A., Peto, R., Pan, H., Potter, J., Henning Eckstein, H., Farrell, B., Flather, M., Mansfield, A., Mihaylova, B., Rahimi, K., Simpson, D., Thomas, D., Sandercock, P., Gray, R., Molyneux, A., Shearman, C. P., Rothwell, P., Belli, A., Herrington, W., Judge, P., Leopold, P., Mafham, M., Gough, M., Cao, P., Macdonald, S., Bari, V., Berry, C., Bradshaw, S., Brudlo, W., Clarke, A., Cox, R., Fathers, S., Gaba, K., Gray, M., Hayter, E., Holliday, C., Kurien, R., Lay, M., le Conte, S., Mcmanus, J., Madgwick, Z., Morris, D., Munday, A., Pickworth, S., Ostasz, W., Poorthuis, M., Richards, S., Teixeira, L., Tochlin, S., Tully, L., Wallis, C., Willet, M., Young, A., Casana, R., Malloggi, C., Odero, A., Silani, V., Parati, G., Malchiodi, G., Malferrari, G., Strozzi, F., Tusini, N., Vecchiati, E., Coppi, G., Lauricella, A., Moratto, R., Silingardi, R., Veronesi, J., Zini, A., Ferrero, E., Ferri, M., Gaggiano, A., Labate, C., Nessi, F., Psacharopulo, D., Viazzo, A., Malacrida, G., Mazzaccaro, D., Meola, G., Modafferi, A., Nano, G., Occhiuto, M. T., Righini, P., Stegher, S., Chiarandini, S., Griselli, F., Lepidi, S., Pozzi Mucelli, F., Naccarato, M., D'Oria, M., Ziani, B., Stella, A., Dieng, M., Faggioli, G., Gargiulo, M., Palermo, S., Pini, R., Puddu, G. M., Vacirca, A., Angiletta, D., Desantis, C., Marinazzo, D., Mastrangelo, G., Regina, G., Pulli, R., Bianchi, P., Cireni, L., Coppi, E., Pizzirusso, R., Scalise, F., Sorropago, G., Tolva, V., Caso, V., Cieri, E., Derango, P., Farchioni, L., Isernia, G., Lenti, M., Parlani, G. B., Pupo, G., Pula, G., Simonte, G., Verzini, F., Carimati, F., Delodovici, M. L., Fontana, F., Piffaretti, G., Tozzi, M., Civilini, E., Poletto, G., Reimers, B., Praquin, B., Ronchey, S., Capoccia, L., Mansour, W., Sbarigia, E., Speziale, F., Sirignano, P., Toni, D., Galeotti, R., Gasbarro, V., Mascoli, F., Rocca, T., Tsolaki, E., Bernardini, G., Demarco, E., Giaquinta, A., Patti, F., Veroux, M., Veroux, P., Virgilio, C., Mangialardi, N., Orrico, M., Di Lazzaro, V., Montelione, N., Spinelli, F., Stilo, F., Cernetti, C., Irsara, S., Maccarrone, G., Tonello, D., Visona, A., Zalunardo, B., Chisci, E., Michelagnoli, S., Troisi, N., Masato, M., Dei Negri, M., Pacchioni, A., Sacca, S., Amatucci, G., Cannizzaro, A., Accrocca, F., Ambrogi, C., Barbazza, R., Marcucci, G., Siani, A., Bajardi, G., Savettieri, G., Argentieri, A., Corbetta, R., Quaretti, P., Thyrion, F. Z., Cappelli, A., Benevento, D., De Donato, G., Mele, M. A., Palasciano, G., Pieragalli, D., Rossi, A., Setacci, C., Setacci, F., Palombo, D., Perfumo, M. C., Martelli, E., Paolucci, A., Trimarchi, S., Grassi, V., Grimaldi, L., La Rosa, G., Mirabella, D., Scialabba, M., Sichel, L., D'Angelo, C. L., Fadda, G. F., Kasemi, H., Marino, M., Burzotta, Francesco, Codispoti, F. A., Ferrante, A., Tinelli, Giovanni, Tshomba, Yamume, Vincenzoni, Claudio, Amis, D., Anderson, D., Catterson, M., Clarke, M., Davis, M., Dixit, A., Dyker, A., Ford, G., Jackson, R., Kappadath, S., Lambert, D., Lees, T., Louw, S., Mccaslin, J., Parr, N., Robson, R., Stansby, G., Wales, L., Wealleans, V., Wilson, L., Wyatt, M., Baht, H., Balogun, I., Burger, I., Cosier, T., Cowie, L., Gunathilagan, G., Hargroves, D., Insall, R., Jones, S., Rudenko, H., Schumacher, N., Senaratne, J., Thomas, G., Thomson, A., Webb, T., Brown, E., Esisi, B., Mehrzad, A., Macsweeney, S., Mcconachie, N., Southam, A., Sunman, W., Abdul-Hamiq, A., Bryce, J., Chetter, I., Ettles, D., Lakshminarayan, R., Mitchelson, K., Rhymes, C., Robinson, G., Scott, P., Vickers, A., Ashleigh, R., Butterfield, S., Gamble, E., Ghosh, J., Mccollum, C. N., Welch, M., Welsh, S., Wolowczyk, L., Donnelly, M., D'Souza, S., Egun, A. A., Gregary, B., Joseph, T., Kelly, C., Punekar, S., Rahi, M. A., Raj, S., Seriki, D., Thomson, G., Brown, J., Durairajan, R., Grunwald, I., Guyler, P., Harman, P., Jakeways, M., Khuoge, C., Kundu, A., Loganathan, T., Menon, N., Prabakaran, R. O., Sinha, D., Thompson, V., Tysoe, S., Briley, D., Darby, C., Hands, L., Howard, D., Kuker, W., Schulz, U., Teal, R., Barer, D., Brown, A., Crawford, S., Dunlop, P., Krishnamurthy, R., Majmudar, N., Mitchell, D., Myint, M. P., O'Brien, R., O'Connell, J., Sattar, N., Vetrivel, S., Beard, J., Cleveland, T., Gaines, P., Humphreys, J., Jenkins, A., King, C., Kusuma, D., Lindert, R., Lonsdale, R., Nair, R., Nawaz, S., Okhuoya, F., Turner, D., Venables, G., Dorman, P., Hughes, A., Jones, D., Mendelow, D., Rodgers, H., Raudoniitis, A., Enevoldson, P., Nahser, H., O'Brien, I., Torella, F., Watling, D., White, R., Brown, P., Dutta, D., Emerson, L., Hilltout, P., Kulkarni, S., Morrison, J., Poskitt, K., Slim, F., Smith, S., Tyler, A., Waldron, J., Whyman, M., Bajoriene, M., Baker, L., Colston, A., Eliot-Jones, B., Gramizadeh, G., Lewis-Clarke, C., Mccafferty, L., Oliver, D., Palmer, D., Patil, A., Pegler, S., Ramadurai, G., Roberts, A., Sargent, T., Siddegowda, S., Singh-Ranger, R., Williams, A., Williams, L., Windebank, S., Zuromskis, T., Alwis, L., Angus, J., Asokanathan, A., Fornolles, C., Hardy, D., Hunte, S., Justin, F., Phiri, D., Mitabouana-Kibou, M., Sekaran, L., Sethuraman, S., Tate, M. L., Akyea-Mensah, J., Ball, S., Chrisopoulou, A., Keene, E., Phair, A., Rogers, S., Smyth, J. V., Bicknell, C., Chataway, J., Cheshire, N., Clifton, A., Eley, C., Gibbs, R., Hamady, M., Hazel, B., James, A., Jenkins, M., Khanom, N., Lacey, A., Mireskandari, M., O'Reilly, J., Pereira, A., Sachs, T., Wolfe, J., Davey, P., Rogers, G., Smith, G., Tervit, G., Nichol, I., Parry, A., Young, G., Ashley, S., Barwell, J., Dix, F., Nor, A. M., Parry, C., Birt, A., Davies, P., George, J., Graham, A., Jonker, L., Kelsall, N., Potts, C., Wilson, T., Crinnion, J., Cuenoud, L., Aleksic, N., Babic, S., Ilijevski, N., Radak, Sagic, D., Tanaskovic, S., Colic, M., Cvetic, V., Davidovic, L., Jovanovic, D. R., Koncar, I., Mutavdzic, P., Sladojevic, M., Tomic, I., Debus, E. S., Grzyska, U., Otto, D., Thomalla, G., Barlinn, J., Gerber, J., Haase, K., Hartmann, C., Ludwig, S., Putz, V., Reeps, C., Schmidt, C., Weiss, N., Werth, S., Winzer, S., Gemper, J., Gunther, A., Heiling, B., Jochmann, E., Karvouniari, P., Klingner, C., Mayer, T., Schubert, J., Schulze-Hartung, F., Zanow, J., Bausback, Y., Borger, F., Botsios, S., Branzan, D., Braunlich, S., Holzer, H., Lenzer, J., Piorkowski, C., Richter, N., Schuster, J., Scheinert, D., Schmidt, A., Staab, H., Ulrich, M., Werner, M., Berger, H., Biro, G., Eckstein, H. -H., Kallmayer, M., Kreiser, K., Zimmermann, A., Berekoven, B., Frerker, K., Gordon, V., Torsello, G., Arnold, S., Dienel, C., Storck, M., Biermaier, B., Gissler, H. M., Klotzsch, C., Pfeiffer, T., Schneider, R., Sohl, L., Wennrich, M., Alonso, A., Keese, M., Groden, C., Coster, A., Engelhardt, A., Ratusinski, C. -M., Berg, B., Delle, M., Formgren, J., Gillgren, P., Jarl, L., Kall, T. B., Konrad, P., Nyman, N., Skioldebrand, C., Steuer, J., Takolander, R., Malmstedt, J., Acosta, S., Bjorses, K., Brandt, K., Dias, N., Gottsater, A., Holst, J., Kristmundsson, T., Kuhme, T., Kolbel, T., Lindblad, B., Lindh, M., Malina, M., Ohrlander, T., Resch, T., Ronnle, V., Sonesson, B., Warvsten, M., Zdanowski, Z., Campbell, E., Kjellin, P., Lindgren, H., Nyberg, J., Petersen, B., Plate, G., Parsson, H., Qvarfordt, P., Ignatenko, P., Karpenko, A., Starodubtsev, V., Chernyavsky, M. A., Golovkova, M. S., Komakha, B. B., Zherdev, N. N., Belyasnik, A., Chechulov, P., Kandyba, D., Stepanishchev, I., Csobay-Novak, C., Dosa, E., Entz, L., Nemes, B., Szeberin, Z., Barzo, P., Bodosi, M., Fako, E., Fulop, B., Nemeth, T., Pazdernyik, S., Skoba, K., Voros, E., Chatzinikou, E., Giannoukas, A., Karathanos, C., Koutsias, S., Kouvelos, G., Matsagkas, M., Ralli, S., Rountas, C., Rousas, N., Spanos, K., Brountzos, E., Kakisis, J. D., Lazaris, A., Moulakakis, K. G., Stefanis, L., Tsivgoulis, G., Vasdekis, S., Antonopoulos, C. N., Bellenis, I., Maras, D., Polydorou, A., Polydorou, V., Tavernarakis, A., Ioannou, N., Terzoudi, M., Lazarides, M., Mantatzis, M., Vadikolias, K., Dzieciuchowicz, L., Gabriel, M., Krasinski, Z., Oszkinis, G., Pukacki, F., Slowinski, M., Stanisic, M. -G., Staniszewski, R., Tomczak, J., Zielinski, M., Myrcha, P., Rozanski, D., Drelichowski, S., Iwanowski, W., Koncewicz, K., Bialek, P., Biejat, Z., Czepel, W., Czlonkowska, A., Dowzenko, A., Jedrzejewska, J., Kobayashi, A., Leszczynski, J., Malek, A., Polanski, J., Proczka, R., Skorski, M., Szostek, M., Andziak, P., Dratwicki, M., Gil, R., Nowicki, M., Pniewski, J., Rzezak, J., Seweryniak, P., Dabek, P., Juszynski, M., Madycki, G., Pacewski, B., Raciborski, W., Slowinski, P., Staszkiewicz, W., Bombic, M., Chlouba, V., Fiedler, J., Hes, K., Kostal, P., Sova, J., Kriz, Z., Privara, M., Reif, M., Staffa, R., Vlachovsky, R., Vojtisek, B., Hrbac, T., Kuliha, M., Prochazka, V., Roubec, M., Skoloudik, D., Netuka, D., Steklacova, A., Benes III, V., Buchvald, P., Endrych, L., Sercl, M., Campos, W., Casella, I. B., de Luccia, N., Estenssoro, A. E. V., Presti, C., Puech-Leao, P., Neves, C. R. B., da Silva, E. S., Sitrangulo, C. J., Monteiro, J. A. T., Tinone, G., Bellini Dalio, M., Joviliano, E. E., Pontes Neto, O. M., Serra Ribeiro, M., Cras, P., Hendriks, J. M. H., Hoppenbrouwers, M., Lauwers, P., Loos, C., Yperzeele, L., Geenens, M., Hemelsoet, D., van Herzeele, I., Vermassen, F., Astarci, P., Hammer, F., Lacroix, V., Peeters, A., Verhelst, R., Cirelli, S., Dormal, P., Grimonprez, A., Lambrecht, B., Lerut, P., Thues, E., De Koster, G., Desiron, Q., Maertens de Noordhout, A., Malmendier, D., Massoz, M., Saad, G., Bosiers, M., Callaert, J., Deloose, K., Blanco Canibano, E., Garcia Fresnillo, B., Guerra Requena, M., Morata Barrado, P. C., Muela Mendez, M., Yusta Izquierdo, A., Aparici Robles, F., Blanes Orti, P., Garcia Dominguez, L., Martinez Lopez, R., Miralles Hernandez, M., Tembl Ferrairo, J. I., Chamorro, A., Macho, J., Obach, V., Riambau, V., San Roman, L., Ahlhelm, F. J., Blackham, K., Engelter, S., Eugster, T., Gensicke, H., Gurke, L., Lyrer, P., Mariani, L., Maurer, M., Mujagic, E., Muller, M., Psychogios, M., Stierli, P., Stippich, C., Traenka, C., Wolff, T., Wagner, B., Wiegert, M. M., Clarke, S., Diepers, M., Grochenig, E., Gruber, P., Isaak, A., Kahles, T., Marti, R., Nedeltchev, K., Remonda, L., Tissira, N., Valenca Falcao, M., de Borst, G. J., Lo, R. H., Moll, F. L., Toorop, R., van der Worp, B. H., Vonken, E. J., Kappelle, J. L., Jahrome, O., Vos, F., Schuiling, W., van Overhagen, H., Keunen, R. W. M., Knippenberg, B., Wever, J. J., Lardenoije, J. W., Reijnen, M., Smeets, L., van Sterkenburg, S., Fraedrich, G., Gizewski, E., Gruber, I., Knoflach, M., Kiechl, S., Rantner, B., Abdulamit, T., Bergeron, P., Padovani, R., Trastour, J. -C., Cardon, J. -M., Le Gallou-Wittenberg, A., Allaire, E., Becquemin, J. -P., Cochennec-Paliwoda, F., Desgranges, P., Hosseini, H., Kobeiter, H., Marzelle, J., Almekhlafi, M. A., Bal, S., Barber, P. A., Coutts, S. B., Demchuk, A. M., Eesa, M., Gillies, M., Goyal, M., Hill, M. D., Hudon, M. E., Jambula, A., Kenney, C., Klein, G., Mcclelland, M., Mitha, A., Menon, B. K., Morrish, W. F., Peters, S., Ryckborst, K. J., Samis, G., Save, S., Smith, E. E., Stys, P., Subramaniam, S., Sutherland, G. R., Watson, T., Wong, J. H., Zimmel, L., Flis, V., Matela, J., Miksic, K., Milotic, F., Mrdja, B., Stirn, B., Tetickovic, E., Gasparini, M., Grad, A., Kompara, I., Milosevic, Z., Palmiste, V., Toomsoo, T., Aidashova, B., Kospanov, N., Lyssenko, R., Mussagaliev, D., Beyar, R., Hoffman, A., Karram, T., Kerner, A., Nikolsky, E., Nitecki, S., Andonova, S., Bachvarov, C., Petrov, V., Cvjetko, I., Vidjak, V., Haluzan, D., Petrunic, M., Liu, B., Liu, C. -W., Bartko, D., Beno, P., Rusnak, F., Zelenak, K., Ezura, M., Inoue, T., Kimura, N., Kondo, R., Matsumoto, Y., Shimizu, H., Endo, H., Furui, E., Bakke, S., Krohg-Sorensen, K., Nome, T., Skjelland, M., Tennoe, B., Albuquerque e Castro, J., Alves, G., Bastos Goncalves, F., de Aragao Morais, J., Garcia, A. C., Valentim, H., Vasconcelos, L., Belcastro, F., Cura, F., Zaefferer, P., Abd-Allah, F., Eldessoki, M. H., Heshmat Kassem, H., Soliman Gharieb, H., Colgan, M. P., Haider, S. N., Harbison, J., Madhavan, P., Moore, D., Shanik, G., Kazan, V., Nazzal, M., Ramsey-Williams, V., Burzotta F. (ORCID:0000-0002-6569-9401), Tinelli G. (ORCID:0000-0002-2212-3226), Tshomba Y. (ORCID:0000-0001-7304-7553), Vincenzoni C., Halliday, A., Bulbulia, R., Bonati, L. H., Chester, J., Cradduck-Bamford, A., Peto, R., Pan, H., Potter, J., Henning Eckstein, H., Farrell, B., Flather, M., Mansfield, A., Mihaylova, B., Rahimi, K., Simpson, D., Thomas, D., Sandercock, P., Gray, R., Molyneux, A., Shearman, C. P., Rothwell, P., Belli, A., Herrington, W., Judge, P., Leopold, P., Mafham, M., Gough, M., Cao, P., Macdonald, S., Bari, V., Berry, C., Bradshaw, S., Brudlo, W., Clarke, A., Cox, R., Fathers, S., Gaba, K., Gray, M., Hayter, E., Holliday, C., Kurien, R., Lay, M., le Conte, S., Mcmanus, J., Madgwick, Z., Morris, D., Munday, A., Pickworth, S., Ostasz, W., Poorthuis, M., Richards, S., Teixeira, L., Tochlin, S., Tully, L., Wallis, C., Willet, M., Young, A., Casana, R., Malloggi, C., Odero, A., Silani, V., Parati, G., Malchiodi, G., Malferrari, G., Strozzi, F., Tusini, N., Vecchiati, E., Coppi, G., Lauricella, A., Moratto, R., Silingardi, R., Veronesi, J., Zini, A., Ferrero, E., Ferri, M., Gaggiano, A., Labate, C., Nessi, F., Psacharopulo, D., Viazzo, A., Malacrida, G., Mazzaccaro, D., Meola, G., Modafferi, A., Nano, G., Occhiuto, M. T., Righini, P., Stegher, S., Chiarandini, S., Griselli, F., Lepidi, S., Pozzi Mucelli, F., Naccarato, M., D'Oria, M., Ziani, B., Stella, A., Dieng, M., Faggioli, G., Gargiulo, M., Palermo, S., Pini, R., Puddu, G. M., Vacirca, A., Angiletta, D., Desantis, C., Marinazzo, D., Mastrangelo, G., Regina, G., Pulli, R., Bianchi, P., Cireni, L., Coppi, E., Pizzirusso, R., Scalise, F., Sorropago, G., Tolva, V., Caso, V., Cieri, E., Derango, P., Farchioni, L., Isernia, G., Lenti, M., Parlani, G. B., Pupo, G., Pula, G., Simonte, G., Verzini, F., Carimati, F., Delodovici, M. L., Fontana, F., Piffaretti, G., Tozzi, M., Civilini, E., Poletto, G., Reimers, B., Praquin, B., Ronchey, S., Capoccia, L., Mansour, W., Sbarigia, E., Speziale, F., Sirignano, P., Toni, D., Galeotti, R., Gasbarro, V., Mascoli, F., Rocca, T., Tsolaki, E., Bernardini, G., Demarco, E., Giaquinta, A., Patti, F., Veroux, M., Veroux, P., Virgilio, C., Mangialardi, N., Orrico, M., Di Lazzaro, V., Montelione, N., Spinelli, F., Stilo, F., Cernetti, C., Irsara, S., Maccarrone, G., Tonello, D., Visona, A., Zalunardo, B., Chisci, E., Michelagnoli, S., Troisi, N., Masato, M., Dei Negri, M., Pacchioni, A., Sacca, S., Amatucci, G., Cannizzaro, A., Accrocca, F., Ambrogi, C., Barbazza, R., Marcucci, G., Siani, A., Bajardi, G., Savettieri, G., Argentieri, A., Corbetta, R., Quaretti, P., Thyrion, F. Z., Cappelli, A., Benevento, D., De Donato, G., Mele, M. A., Palasciano, G., Pieragalli, D., Rossi, A., Setacci, C., Setacci, F., Palombo, D., Perfumo, M. C., Martelli, E., Paolucci, A., Trimarchi, S., Grassi, V., Grimaldi, L., La Rosa, G., Mirabella, D., Scialabba, M., Sichel, L., D'Angelo, C. L., Fadda, G. F., Kasemi, H., Marino, M., Burzotta, Francesco, Codispoti, F. A., Ferrante, A., Tinelli, Giovanni, Tshomba, Yamume, Vincenzoni, Claudio, Amis, D., Anderson, D., Catterson, M., Clarke, M., Davis, M., Dixit, A., Dyker, A., Ford, G., Jackson, R., Kappadath, S., Lambert, D., Lees, T., Louw, S., Mccaslin, J., Parr, N., Robson, R., Stansby, G., Wales, L., Wealleans, V., Wilson, L., Wyatt, M., Baht, H., Balogun, I., Burger, I., Cosier, T., Cowie, L., Gunathilagan, G., Hargroves, D., Insall, R., Jones, S., Rudenko, H., Schumacher, N., Senaratne, J., Thomas, G., Thomson, A., Webb, T., Brown, E., Esisi, B., Mehrzad, A., Macsweeney, S., Mcconachie, N., Southam, A., Sunman, W., Abdul-Hamiq, A., Bryce, J., Chetter, I., Ettles, D., Lakshminarayan, R., Mitchelson, K., Rhymes, C., Robinson, G., Scott, P., Vickers, A., Ashleigh, R., Butterfield, S., Gamble, E., Ghosh, J., Mccollum, C. N., Welch, M., Welsh, S., Wolowczyk, L., Donnelly, M., D'Souza, S., Egun, A. A., Gregary, B., Joseph, T., Kelly, C., Punekar, S., Rahi, M. A., Raj, S., Seriki, D., Thomson, G., Brown, J., Durairajan, R., Grunwald, I., Guyler, P., Harman, P., Jakeways, M., Khuoge, C., Kundu, A., Loganathan, T., Menon, N., Prabakaran, R. O., Sinha, D., Thompson, V., Tysoe, S., Briley, D., Darby, C., Hands, L., Howard, D., Kuker, W., Schulz, U., Teal, R., Barer, D., Brown, A., Crawford, S., Dunlop, P., Krishnamurthy, R., Majmudar, N., Mitchell, D., Myint, M. P., O'Brien, R., O'Connell, J., Sattar, N., Vetrivel, S., Beard, J., Cleveland, T., Gaines, P., Humphreys, J., Jenkins, A., King, C., Kusuma, D., Lindert, R., Lonsdale, R., Nair, R., Nawaz, S., Okhuoya, F., Turner, D., Venables, G., Dorman, P., Hughes, A., Jones, D., Mendelow, D., Rodgers, H., Raudoniitis, A., Enevoldson, P., Nahser, H., O'Brien, I., Torella, F., Watling, D., White, R., Brown, P., Dutta, D., Emerson, L., Hilltout, P., Kulkarni, S., Morrison, J., Poskitt, K., Slim, F., Smith, S., Tyler, A., Waldron, J., Whyman, M., Bajoriene, M., Baker, L., Colston, A., Eliot-Jones, B., Gramizadeh, G., Lewis-Clarke, C., Mccafferty, L., Oliver, D., Palmer, D., Patil, A., Pegler, S., Ramadurai, G., Roberts, A., Sargent, T., Siddegowda, S., Singh-Ranger, R., Williams, A., Williams, L., Windebank, S., Zuromskis, T., Alwis, L., Angus, J., Asokanathan, A., Fornolles, C., Hardy, D., Hunte, S., Justin, F., Phiri, D., Mitabouana-Kibou, M., Sekaran, L., Sethuraman, S., Tate, M. L., Akyea-Mensah, J., Ball, S., Chrisopoulou, A., Keene, E., Phair, A., Rogers, S., Smyth, J. V., Bicknell, C., Chataway, J., Cheshire, N., Clifton, A., Eley, C., Gibbs, R., Hamady, M., Hazel, B., James, A., Jenkins, M., Khanom, N., Lacey, A., Mireskandari, M., O'Reilly, J., Pereira, A., Sachs, T., Wolfe, J., Davey, P., Rogers, G., Smith, G., Tervit, G., Nichol, I., Parry, A., Young, G., Ashley, S., Barwell, J., Dix, F., Nor, A. M., Parry, C., Birt, A., Davies, P., George, J., Graham, A., Jonker, L., Kelsall, N., Potts, C., Wilson, T., Crinnion, J., Cuenoud, L., Aleksic, N., Babic, S., Ilijevski, N., Radak, Sagic, D., Tanaskovic, S., Colic, M., Cvetic, V., Davidovic, L., Jovanovic, D. R., Koncar, I., Mutavdzic, P., Sladojevic, M., Tomic, I., Debus, E. S., Grzyska, U., Otto, D., Thomalla, G., Barlinn, J., Gerber, J., Haase, K., Hartmann, C., Ludwig, S., Putz, V., Reeps, C., Schmidt, C., Weiss, N., Werth, S., Winzer, S., Gemper, J., Gunther, A., Heiling, B., Jochmann, E., Karvouniari, P., Klingner, C., Mayer, T., Schubert, J., Schulze-Hartung, F., Zanow, J., Bausback, Y., Borger, F., Botsios, S., Branzan, D., Braunlich, S., Holzer, H., Lenzer, J., Piorkowski, C., Richter, N., Schuster, J., Scheinert, D., Schmidt, A., Staab, H., Ulrich, M., Werner, M., Berger, H., Biro, G., Eckstein, H. -H., Kallmayer, M., Kreiser, K., Zimmermann, A., Berekoven, B., Frerker, K., Gordon, V., Torsello, G., Arnold, S., Dienel, C., Storck, M., Biermaier, B., Gissler, H. M., Klotzsch, C., Pfeiffer, T., Schneider, R., Sohl, L., Wennrich, M., Alonso, A., Keese, M., Groden, C., Coster, A., Engelhardt, A., Ratusinski, C. -M., Berg, B., Delle, M., Formgren, J., Gillgren, P., Jarl, L., Kall, T. B., Konrad, P., Nyman, N., Skioldebrand, C., Steuer, J., Takolander, R., Malmstedt, J., Acosta, S., Bjorses, K., Brandt, K., Dias, N., Gottsater, A., Holst, J., Kristmundsson, T., Kuhme, T., Kolbel, T., Lindblad, B., Lindh, M., Malina, M., Ohrlander, T., Resch, T., Ronnle, V., Sonesson, B., Warvsten, M., Zdanowski, Z., Campbell, E., Kjellin, P., Lindgren, H., Nyberg, J., Petersen, B., Plate, G., Parsson, H., Qvarfordt, P., Ignatenko, P., Karpenko, A., Starodubtsev, V., Chernyavsky, M. A., Golovkova, M. S., Komakha, B. B., Zherdev, N. N., Belyasnik, A., Chechulov, P., Kandyba, D., Stepanishchev, I., Csobay-Novak, C., Dosa, E., Entz, L., Nemes, B., Szeberin, Z., Barzo, P., Bodosi, M., Fako, E., Fulop, B., Nemeth, T., Pazdernyik, S., Skoba, K., Voros, E., Chatzinikou, E., Giannoukas, A., Karathanos, C., Koutsias, S., Kouvelos, G., Matsagkas, M., Ralli, S., Rountas, C., Rousas, N., Spanos, K., Brountzos, E., Kakisis, J. D., Lazaris, A., Moulakakis, K. G., Stefanis, L., Tsivgoulis, G., Vasdekis, S., Antonopoulos, C. N., Bellenis, I., Maras, D., Polydorou, A., Polydorou, V., Tavernarakis, A., Ioannou, N., Terzoudi, M., Lazarides, M., Mantatzis, M., Vadikolias, K., Dzieciuchowicz, L., Gabriel, M., Krasinski, Z., Oszkinis, G., Pukacki, F., Slowinski, M., Stanisic, M. -G., Staniszewski, R., Tomczak, J., Zielinski, M., Myrcha, P., Rozanski, D., Drelichowski, S., Iwanowski, W., Koncewicz, K., Bialek, P., Biejat, Z., Czepel, W., Czlonkowska, A., Dowzenko, A., Jedrzejewska, J., Kobayashi, A., Leszczynski, J., Malek, A., Polanski, J., Proczka, R., Skorski, M., Szostek, M., Andziak, P., Dratwicki, M., Gil, R., Nowicki, M., Pniewski, J., Rzezak, J., Seweryniak, P., Dabek, P., Juszynski, M., Madycki, G., Pacewski, B., Raciborski, W., Slowinski, P., Staszkiewicz, W., Bombic, M., Chlouba, V., Fiedler, J., Hes, K., Kostal, P., Sova, J., Kriz, Z., Privara, M., Reif, M., Staffa, R., Vlachovsky, R., Vojtisek, B., Hrbac, T., Kuliha, M., Prochazka, V., Roubec, M., Skoloudik, D., Netuka, D., Steklacova, A., Benes III, V., Buchvald, P., Endrych, L., Sercl, M., Campos, W., Casella, I. B., de Luccia, N., Estenssoro, A. E. V., Presti, C., Puech-Leao, P., Neves, C. R. B., da Silva, E. S., Sitrangulo, C. J., Monteiro, J. A. T., Tinone, G., Bellini Dalio, M., Joviliano, E. E., Pontes Neto, O. M., Serra Ribeiro, M., Cras, P., Hendriks, J. M. H., Hoppenbrouwers, M., Lauwers, P., Loos, C., Yperzeele, L., Geenens, M., Hemelsoet, D., van Herzeele, I., Vermassen, F., Astarci, P., Hammer, F., Lacroix, V., Peeters, A., Verhelst, R., Cirelli, S., Dormal, P., Grimonprez, A., Lambrecht, B., Lerut, P., Thues, E., De Koster, G., Desiron, Q., Maertens de Noordhout, A., Malmendier, D., Massoz, M., Saad, G., Bosiers, M., Callaert, J., Deloose, K., Blanco Canibano, E., Garcia Fresnillo, B., Guerra Requena, M., Morata Barrado, P. C., Muela Mendez, M., Yusta Izquierdo, A., Aparici Robles, F., Blanes Orti, P., Garcia Dominguez, L., Martinez Lopez, R., Miralles Hernandez, M., Tembl Ferrairo, J. I., Chamorro, A., Macho, J., Obach, V., Riambau, V., San Roman, L., Ahlhelm, F. J., Blackham, K., Engelter, S., Eugster, T., Gensicke, H., Gurke, L., Lyrer, P., Mariani, L., Maurer, M., Mujagic, E., Muller, M., Psychogios, M., Stierli, P., Stippich, C., Traenka, C., Wolff, T., Wagner, B., Wiegert, M. M., Clarke, S., Diepers, M., Grochenig, E., Gruber, P., Isaak, A., Kahles, T., Marti, R., Nedeltchev, K., Remonda, L., Tissira, N., Valenca Falcao, M., de Borst, G. J., Lo, R. H., Moll, F. L., Toorop, R., van der Worp, B. H., Vonken, E. J., Kappelle, J. L., Jahrome, O., Vos, F., Schuiling, W., van Overhagen, H., Keunen, R. W. M., Knippenberg, B., Wever, J. J., Lardenoije, J. W., Reijnen, M., Smeets, L., van Sterkenburg, S., Fraedrich, G., Gizewski, E., Gruber, I., Knoflach, M., Kiechl, S., Rantner, B., Abdulamit, T., Bergeron, P., Padovani, R., Trastour, J. -C., Cardon, J. -M., Le Gallou-Wittenberg, A., Allaire, E., Becquemin, J. -P., Cochennec-Paliwoda, F., Desgranges, P., Hosseini, H., Kobeiter, H., Marzelle, J., Almekhlafi, M. A., Bal, S., Barber, P. A., Coutts, S. B., Demchuk, A. M., Eesa, M., Gillies, M., Goyal, M., Hill, M. D., Hudon, M. E., Jambula, A., Kenney, C., Klein, G., Mcclelland, M., Mitha, A., Menon, B. K., Morrish, W. F., Peters, S., Ryckborst, K. J., Samis, G., Save, S., Smith, E. E., Stys, P., Subramaniam, S., Sutherland, G. R., Watson, T., Wong, J. H., Zimmel, L., Flis, V., Matela, J., Miksic, K., Milotic, F., Mrdja, B., Stirn, B., Tetickovic, E., Gasparini, M., Grad, A., Kompara, I., Milosevic, Z., Palmiste, V., Toomsoo, T., Aidashova, B., Kospanov, N., Lyssenko, R., Mussagaliev, D., Beyar, R., Hoffman, A., Karram, T., Kerner, A., Nikolsky, E., Nitecki, S., Andonova, S., Bachvarov, C., Petrov, V., Cvjetko, I., Vidjak, V., Haluzan, D., Petrunic, M., Liu, B., Liu, C. -W., Bartko, D., Beno, P., Rusnak, F., Zelenak, K., Ezura, M., Inoue, T., Kimura, N., Kondo, R., Matsumoto, Y., Shimizu, H., Endo, H., Furui, E., Bakke, S., Krohg-Sorensen, K., Nome, T., Skjelland, M., Tennoe, B., Albuquerque e Castro, J., Alves, G., Bastos Goncalves, F., de Aragao Morais, J., Garcia, A. C., Valentim, H., Vasconcelos, L., Belcastro, F., Cura, F., Zaefferer, P., Abd-Allah, F., Eldessoki, M. H., Heshmat Kassem, H., Soliman Gharieb, H., Colgan, M. P., Haider, S. N., Harbison, J., Madhavan, P., Moore, D., Shanik, G., Kazan, V., Nazzal, M., Ramsey-Williams, V., Burzotta F. (ORCID:0000-0002-6569-9401), Tinelli G. (ORCID:0000-0002-2212-3226), Tshomba Y. (ORCID:0000-0001-7304-7553), and Vincenzoni C.
- Abstract
Background: Among asymptomatic patients with severe carotid artery stenosis but no recent stroke or transient cerebral ischaemia, either carotid artery stenting (CAS) or carotid endarterectomy (CEA) can restore patency and reduce long-term stroke risks. However, from recent national registry data, each option causes about 1% procedural risk of disabling stroke or death. Comparison of their long-term protective effects requires large-scale randomised evidence. Methods: ACST-2 is an international multicentre randomised trial of CAS versus CEA among asymptomatic patients with severe stenosis thought to require intervention, interpreted with all other relevant trials. Patients were eligible if they had severe unilateral or bilateral carotid artery stenosis and both doctor and patient agreed that a carotid procedure should be undertaken, but they were substantially uncertain which one to choose. Patients were randomly allocated to CAS or CEA and followed up at 1 month and then annually, for a mean 5 years. Procedural events were those within 30 days of the intervention. Intention-to-treat analyses are provided. Analyses including procedural hazards use tabular methods. Analyses and meta-analyses of non-procedural strokes use Kaplan-Meier and log-rank methods. The trial is registered with the ISRCTN registry, ISRCTN21144362. Findings: Between Jan 15, 2008, and Dec 31, 2020, 3625 patients in 130 centres were randomly allocated, 1811 to CAS and 1814 to CEA, with good compliance, good medical therapy and a mean 5 years of follow-up. Overall, 1% had disabling stroke or death procedurally (15 allocated to CAS and 18 to CEA) and 2% had non-disabling procedural stroke (48 allocated to CAS and 29 to CEA). Kaplan-Meier estimates of 5-year non-procedural stroke were 2·5% in each group for fatal or disabling stroke, and 5·3% with CAS versus 4·5% with CEA for any stroke (rate ratio [RR] 1·16, 95% CI 0·86–1·57; p=0·33). Combining RRs for any non-procedural stroke in all CAS versus CEA
- Published
- 2021
42. Erratum: Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017 (The Lancet (2018) 392(10159) (1736–1788)(S0140673618322037)(10.1016/S0140-6736(18)32203-7))
- Author
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Roth G. 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Ataro, Z, Atique, S, Atre, S, Ausloos, M, Avokpaho, E, Awasthi, A, Ayala Quintanilla, B, Ayele, Y, Ayer, R, Azzopardi, P, Babazadeh, A, Bacha, U, Badali, H, Badawi, A, Bali, A, Ballesteros, K, Banach, M, Banerjee, K, Bannick, M, Banoub, J, Barboza, M, Barker-Collo, S, Barnighausen, T, Barquera, S, Barrero, L, Bassat, Q, Basu, S, Baune, B, Baynes, H, Bazargan-Hejazi, S, Bedi, N, Beghi, E, Behzadifar, M, Bejot, Y, Bekele, B, Belachew, A, Belay, E, Belay, Y, Bell, M, Bello, A, Bennett, D, Bensenor, I, Berman, A, Bernabe, E, Bernstein, R, Bertolacci, G, Beuran, M, Beyranvand, T, Bhalla, A, Bhattarai, S, Bhaumik, S, Bhutta, Z, Biadgo, B, Biehl, M, Bijani, A, Bikbov, B, Bilano, V, Bililign, N, Bin Sayeed, M, Bisanzio, D, Biswas, T, Blacker, B, Basara, B, Borschmann, R, Bosetti, C, Bozorgmehr, K, Brady, O, Brant, L, Brayne, C, Brazinova, A, Breitborde, N, Brenner, H, Briant, P, Britton, G, Brugha, T, Busse, R, Butt, Z, Callender, C, Campos-Nonato, I, Campuzano Rincon, J, Cano, J, Car, M, Cardenas, R, Carreras, G, Carrero, J, Carter, A, Carvalho, F, Castaneda-Orjuela, C, Castillo Rivas, J, Castle, C, Castro, C, Castro, F, Catala-Lopez, F, Cerin, E, Chaiah, Y, Chang, J, Charlson, F, Chaturvedi, P, Chiang, P, Chimed-Ochir, O, Chisumpa, V, Chitheer, A, Chowdhury, R, Christensen, H, Christopher, D, Chung, S, Cicuttini, F, Ciobanu, L, Cirillo, M, Cohen, A, Cooper, L, Cortesi, P, Cortinovis, M, Cousin, E, Cowie, B, Criqui, M, Cromwell, E, Crowe, C, Crump, J, Cunningham, M, Daba, A, Dadi, A, Dandona, L, Dandona, R, Dang, A, Dargan, P, Daryani, A, Das, S, Gupta, R, Neves, J, Dasa, T, Dash, A, Davis, A, Davis Weaver, N, Davitoiu, D, Davletov, K, De La Hoz, F, De Neve, J, Degefa, M, Degenhardt, L, Degfie, T, Deiparine, S, Demoz, G, Demtsu, B, Denova-Gutierrez, E, Deribe, K, Dervenis, N, Des Jarlais, D, Dessie, G, Dey, S, Dharmaratne, S, Dicker, D, Dinberu, M, Ding, E, Dirac, M, Djalalinia, S, Dokova, K, Doku, D, Donnelly, C, Dorsey, E, Doshi, P, Douwes-Schultz, D, Doyle, K, 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- Abstract
GBD 2017 Causes of Death Collaborators. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 2018; 392: 1736–88—The bottom row in figure 7 was cut off. This correction has been made to the online version as of Nov 9, 2018, and has been made to the printed Article.
- Published
- 2018
43. Global, regional, and national disability-adjusted life-years (DALYs) for 359 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990-2017: A systematic analysis for the Global Burden of Disease Study 2017
- Author
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K., Brenner H., Briant P. S., Briko A. N., Britton G., Brugha T., Buchbinder R., Busse R., Butt Z. A., Cahuana-Hurtado L., Campuzano Rincon J. C., Cano J., Cardenas R., Carrero J. J., Carter A., Carvalho F., Castaneda-Orjuela C. A., Rivas J. C., Castro F., Catala-Lopez F., Cercy K. M., Cerin E., Chaiah Y., Chang J. -C., Charlson F. J., Chattu V. K., Chiang P. P. -C., Chitheer A., Choi J. -Y. J., Christensen H., Christopher D. J., Chung S. -C., Cicuttini F. M., Cirillo M., Collado-Mateo D., Cooper C., Cortesi P. A., Cortinovis M., Cousin E., Criqui M. H., Cromwell E. A., Cross M., Crump J. A., Daba A. K., Dachew B. A., Dadi A. F., Dandona L., Dandona R., Dargan P. I., Daryani A., Das Gupta R., Das Neves J., Dasa T. T., Davitoiu D. V., De La Hoz F. P., De Leo D., De Neve J. -W., De Steur H., Degefa M. G., Degenhardt L., Deiparine S., Demoz G. T., Denova-Gutierrez E., Deribe K., Dervenis N., Des Jarlais D. C., Dey S., Dharmaratne S. D., Dhimal M., Dinberu M. T., Dirac M. A., Djalalinia S., Doan L., Dokova K., Doku D. T., Dorsey E. R., Doyle K. E., Driscoll T. R., Dubey M., Dubljanin E., Duken E. E., Duncan B. B., Duraes A. R., Ebrahimi H., Ebrahimpour S., Echko M. M., Edessa D., Edvardsson D., Effiong A., Eggen A. E., Ehrlich J. R., El Bcheraoui C., El-Khatib Z., Elyazar I. R. F., Enayati A., Endalifer M. L., Endries A. Y., Er B., Erskine H. E., Eskandarieh S., Esteghamati A., Esteghamati S., Fakhim H., Faramarzi M., Fareed M., Farhadi F., Farid T. A., Sa Farinha C. S. E., Farioli A., Faro A., Farzadfar F., Fazaeli A. A., Feigin V. L., Fentahun N., Fereshtehnejad S. -M., Fernandes E., Fernandes J. C., Ferrari A. J., Ferreira M. L., Filip I., Fischer F., Fitzmaurice C., Foigt N. A., Foreman K. J., Frank T. D., Fukumoto T., Fullman N., Furst T., Furtado J. M., Gakidou E., Gall S., Gallus S., Ganji M., Garcia-Basteiro A. L., Gardner W. M., Gebre A. K., Gebremedhin A. T., Gebremichael T. G., Gelano T. F., Geleijnse J. M., Genova-Maleras R., Geramo Y. C. D., Gething P. W., Gezae K. E., Ghadami M. R., Ghadiri K., Ghasemi-Kasman M., Ghimire M., Ghoshal A. G., Gill P. S., Gill T. K., Ginawi I. A., Giussani G., Gnedovskaya E. V., Goldberg E. M., Goli S., Gomez-Dantes H., Gona P. N., Gopalani S. V., Gorman T. M., Goulart A. C., Goulart B. N. G., Grada A., Grosso G., Gugnani H. C., Guillemin F., Guo Y., Gupta P. C., Gupta R., Gupta T., Gutierrez R. A., Gyawali B., Haagsma J. A., Hachinski V., Hafezi-Nejad N., Bidgoli H. H., Hagos T. B., Hailegiyorgis T. T., Haj-Mirzaian A., Hamadeh R. R., Hamidi S., Handal A. J., Hankey G. J., Hao Y., Harb H. L., Harikrishnan S., Haririan H., Haro J. M., Hassankhani H., Hassen H. Y., Havmoeller R., Hay R. J., Hay S. I., Hedayatizadeh-Omran A., Heibati B., Hendrie D., Henok A., Heredia-Pi I., Herteliu C., Heydarpour F., Heydarpour P., Hibstu D. T., Hoek H. W., Hoffman H. J., Hole M. K., Rad E. H., Hoogar P., Hosgood H. D., Hosseini S. M., Hosseinzadeh M., Hostiuc M., Hostiuc S., Hotez P. J., Hoy D. G., Hsairi M., Htet A. S., Huang J. J., Iburg K. M., Ikeda C. T., Ilesanmi O. S., Irvani S. S. N., Irvine C. M. S., Islam S. M. S., Islami F., Jacobsen K. H., Jahangiry L., Jahanmehr N., Jain S. K., Jakovljevic M., James S. L., Jayatilleke A. U., Jeemon P., Jha R. P., Jha V., Ji J. S., Johnson C. O., Jonas J. B., Jonnagaddala J., Shushtari Z. J., Joshi A., Jozwiak J. J., Jungari S. B., Jurisson M., Kabir Z., Kadel R., Kahsay A., Kalani R., Kanchan T., Kar C., Karami M., Karami Matin B., Karch A., Karema C., Karimi N., Karimi S. M., Kasaeian A., Kassa D. H., Kassa G. M., Kassa T. D., Kassebaum N. J., Katikireddi S. V., Kaul A., Kawakami N., Kazemi Z., Kazemi Karyani A., Keighobadi M. M., Keiyoro P. N., Kemmer L., Kemp G. R., Kengne A. P., Keren A., Khader Y. S., Khafaei B., Khafaie M. A., Khajavi A., Khalid N., Khalil I. A., Khan E. A., Khan M. S., Khan M. A., Khang Y. -H., Khater M. M., Khazaei M., Khoja A. T., Khosravi A., Khosravi M. H., Kiadaliri A. A., Kidanemariam Z. T., Kiirithio D. N., Kim C. -I., Kim D., Kim Y. -E., Kim Y. J., Kimokoti R. W., Kinfu Y., Kisa A., Kissimova-Skarbek K., Knudsen A. K. S., Kocarnik J. M., Kochhar S., Kokubo Y., Kolola T., Kopec J. A., Kosen S., Kotsakis G. A., Koul P. A., Koyanagi A., Krishan K., Krishnaswami S., Krohn K. J., Defo B. K., Bicer B. K., Kumar G. A., Kumar M., Kuzin I., Lad D. P., Lad S. D., Lafranconi A., Lalloo R., Lallukka T., Lami F. H., Lang J. J., Langan S. M., Lansingh V. C., Latifi A., Lau K. M. -M., Lazarus J. V., Leasher J. L., Ledesma J. R., Lee P. H., Leigh J., Leili M., Leshargie C. T., Leung J., Levi M., Lewycka S., Li S., Li Y., Liang X., Liao Y., Liben M. L., Lim L. -L., Lim S. S., Limenih M. A., Linn S., Liu S., Looker K. J., Lopez A. D., Lorkowski S., Lotufo P. A., Lozano R., Lucas T. C. D., Lunevicius R., Lyons R. A., Ma S., Macarayan E. R. K., Mackay M. T., Maddison E. R., Madotto F., Maghavani D. P., Mai H. T., Majdan M., Majdzadeh R., Majeed A., Malekzadeh R., Malta D. C., Mamun A. A., Manda A. -L., Manguerra H., Mansournia M. A., Mantilla Herrera A. M., Mantovani L. G., Maravilla J. C., Marcenes W., Marks A., Martins-Melo F. R., Martopullo I., Marz W., Marzan M. B., Massano J., Massenburg B. B., Mathur M. R., Maulik P. K., Mazidi M., McAlinden C., McGrath J. J., McKee M., McMahon B. J., Mehata S., Mehrotra R., Mehta K. M., Mehta V., Mejia-Rodriguez F., Mekonen T., Melese A., Melku M., Memiah P. T. N., Memish Z. A., Mendoza W., Mengistu G., Mensah G. A., Mereta S. T., Meretoja A., Meretoja T. J., Mestrovic T., Miazgowski B., Miazgowski T., Millear A. I., Miller T. R., Mini G. K., Mirarefin M., Mirica A., Mirrakhimov E. M., Misganaw A. T., Mitchell P. B., Mitiku H., Moazen B., Mohajer B., Mohammad K. A., Mohammadi M., Mohammadifard N., Mohammadnia-Afrouzi M., Mohammed M. A., Mohammed S., Mohebi F., Mokdad A. H., Molokhia M., Monasta L., Montanez J. C., Moosazadeh M., Moradi G., Moradi M., Moradi-Lakeh M., Moradinazar M., Moraga P., Morawska L., Velasquez I. M., Morgado-Da-Costa J., Morrison S. D., Moschos M. M., Mousavi S. M., Mruts K. B., Muche A. A., Muchie K. F., Mueller U. O., Muhammed O. S., Mukhopadhyay S., Muller K., Mumford J. E., Murthy G. V. S., Musa K. I., Mustafa G., Nabhan A. F., Nagata C., Nagel G., Naghavi M., Naheed A., Nahvijou A., Naik G., Najafi F., Nam H. S., Nangia V., Nansseu J. R., Neamati N., Negoi I., Negoi R. I., Neupane S., Newton C. R. J., Ngunjiri J. W., Nguyen A. Q., Nguyen G., Nguyen H. T., Nguyen H. L. T., Nguyen L. H., Nguyen M., Nguyen N. B., Nguyen S. H., Nichols E., Ningrum D. N. A., Nixon M. R., Nomura S., Noroozi M., Norrving B., Noubiap J. J., Nouri H. R., Shiadeh M. N., Nowroozi M. R., Nsoesie E. O., Nyasulu P. S., Odell C. M., Ofori-Asenso R., Ogbo F. A., Oh I. -H., Oladimeji O., Olagunju A. T., Olagunju T. O., Olivares P. R., Olsen H. E., Olusanya B. O., Olusanya J. O., Ong K. L., Ong S. K., Oren E., Ortiz A., Ota E., Otstavnov S. S., Overland S., Owolabi M. O., Mahesh P. A., Pacella R., Pakhare A. P., Pakpour A. H., Pana A., Panda-Jonas S., Park E. -K., Park J., Parry C. D. H., Parsian H., Pasdar Y., Patel S., Patil S. T., Patle A., Patton G. C., Paturi V. R., Paudel D., Paulson K. R., Pearce N., Pereira A., Pereira D. M., Perico N., Pesudovs K., Petzold M., Pham H. Q., Phillips M. R., Pigott D. M., Pillay J. D., Piradov M. A., Pirsaheb M., Pishgar F., Plana-Ripoll O., Polinder S., Popova S., Postma M. J., Pourshams A., Poustchi H., Prabhakaran D., Prakash S., Prakash V., Prasad N., Purcell C. A., Qorbani M., Quistberg D. A., Radfar A., Rafay A., Rafiei A., Rahim F., Rahimi K., Rahimi Z., Rahimi-Movaghar A., Rahimi-Movaghar V., Rahman M., Ur Rahman M. H., Rahman M. A., Rahman S. U., Rai R. K., Rajati F., Ranjan P., Rao P. C., Rasella D., Rawaf D. L., Rawaf S., Reddy K. S., Reiner R. C., Reitsma M. B., Remuzzi G., Renzaho A. M. N., Resnikoff S., Rezaei S., Rezai M. S., Ribeiro A. L. P., Roberts N. L. S., Robinson S. R., Roever L., Ronfani L., Roshandel G., Rostami A., Roth G. A., Rothenbacher D., Rubagotti E., Sachdev P. S., Sadat N., Sadeghi E., Saeedi Moghaddam S., Safari H., Safari Y., Safari-Faramani R., Safdarian M., Safi S., Safiri S., Sagar R., Sahebkar A., Sahraian M. A., Sajadi H. S., Salam N., Salama J. S., Salamati P., Saleem Z., Salimi Y., Salimzadeh H., Salomon J. A., Salvi S. S., Salz I., Samy A. M., Sanabria J., Sanchez-Nino M. D., Santomauro D. F., Santos I. S., Santos J. V., Santric Milicevic M. M., Sao Jose B. P., Sardana M., Sarker A. R., Sarmiento-Suarez R., Sarrafzadegan N., Sartorius B., Sarvi S., Sathian B., Satpathy M., Sawant A. R., Sawhney M., Saxena S., Schaeffner E., Schmidt M. I., Schneider I. J. C., Schutte A. E., Schwebel D. C., Schwendicke F., Scott J. G., Sekerija M., Sepanlou S. G., Servan-Mori E., Seyedmousavi S., Shabaninejad H., Shafieesabet A., Shahbazi M., Shaheen A. A., Shaikh M. A., Shams-Beyranvand M., Shamsi M., Sharafi H., Sharafi K., Sharif M., Sharif-Alhoseini M., Sharma J., Sharma R., She J., Sheikh A., Shi P., Shibuya K., Shiferaw M. S., Shigematsu M., Shiri R., Shirkoohi R., Shiue I., Shokoohinia Y., Shokraneh F., Shoman H., Shrime M. G., Si S., Siabani S., Sibai A. M., Siddiqi T. J., Sigfusdottir I. D., Sigurvinsdottir R., Silva D. A. S., Silva J. P., Silveira D. G. A., Singam N. S. V., Singh J. A., Singh N. P., Singh V., Sinha D. N., Skiadaresi E., Skirbekk V., Sliwa K., Smith D. L., Smith M., Filho A. M. S., Sobaih B. H., Sobhani S., Soofi M., Sorensen R. J. D., Soyiri I. N., Sposato L. A., Sreeramareddy C. T., Srinivasan V., Stanaway J. D., Starodubov V. I., Stein D. J., Steiner C., Steiner T. J., Stokes M. A., Stovner L. J., Subart M. L., Sudaryanto A., Sufiyan M. B., Sulo G., Sunguya B. F., Sur P. J., Sykes B. L., Sylaja P. N., Sylte D. O., Szoeke C. E. I., Tabares-Seisdedos R., Tabuchi T., Tadakamadla S. K., Tandon N., Tassew S. G., Tavakkoli M., Taveira N., Taylor H. R., Tehrani-Banihashemi A., Tekalign T. G., Tekelemedhin S. W., Tekle M. G., Temsah M. -H., Temsah O., Terkawi A. S., Tessema B., Teweldemedhin M., Thankappan K. R., Theis A., Thirunavukkarasu S., Thomas N., Tilahun B., To Q. G., Tonelli M., Topor-Madry R., Torre A. E., Tortajada-Girbes M., Touvier M., Tovani-Palone M. R., Towbin J. A., Tran B. X., Tran K. B., Troeger C. E., Tsadik A. G., Tsoi D., Tudor Car L., Tyrovolas S., Ukwaja K. N., Ullah I., Undurraga E. A., Updike R. L., Usman M. S., Uthman O. A., Vaduganathan M., Vaezi A., Valdez P. R., Varavikova E., Varughese S., Vasankari T. J., Venketasubramanian N., Villafaina S., Violante F. S., Vladimirov S. K., Vlassov V., Vollset S. E., Vos T., Vosoughi K., Vujcic I. S., Wagnew F. S., Waheed Y., Wang Y., Wang Y. -P., Weiderpass E., Weintraub R. G., Weiss D. J., Weldegebreal F., Weldegwergs K. G., Werdecker A., West T. E., Westerman R., Whiteford H. A., Widecka J., Wijeratne T., Williams H. C., Wilner L. B., Wilson S., Winkler A. S., Wiyeh A. B., Wiysonge C. S., Wolfe C. D. A., Woolf A. D., Wyper G. M. A., Xavier D., Xu G., Yadgir S., Yahyazadeh Jabbari S. H., Yamada T., Yan L. L., Yano Y., Yaseri M., Yasin Y. J., Yeshaneh A., Yimer E. M., Yip P., Yisma E., Yonemoto N., Yoon S. -J., Yotebieng M., Younis M. Z., Yousefifard M., Yu C., Zadnik V., Zaidi Z., Zaman S. B., Zamani M., Zandian H., Zar H. J., Zenebe Z. M., Zipkin B., Zhou M., Zodpey S., Zucker I., Zuhlke L. J., and Murray C. J. L.
- Abstract
Background: How long one lives, how many years of life are spent in good and poor health, and how the population's state of health and leading causes of disability change over time all have implications for policy, planning, and provision of services. We comparatively assessed the patterns and trends of healthy life expectancy (HALE), which quantifies the number of years of life expected to be lived in good health, and the complementary measure of disability-adjusted lifeyears (DALYs), a composite measure of disease burden capturing both premature mortality and prevalence and severityof ill health, for 359 diseases and injuries for 195 countries and territories over the past 28 years. Methods We used data for age-speci?c mortality rates, years of life lost (YLLs) due to premature mortality, and years lived with disability (YLDs) from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 to calculate HALE and DALYs from 1990 to 2017. We calculated HALE using age-specific mortality rates and YLDs per capita for each location, age, sex, and year. We calculated DALYs for 359 causes as the sum of YLLs and YLDs. We assessed how observed HALE and DALYs differed by country and sex from expected trends based on Sociodemographic Index (SDI). We also analysed HALE by decomposing years of life gained into years spent in good health and in poor health, between 1990 and 2017, and extra years lived by females compared with males. Findings Globally, from 1990 to 2017, life expectancy at birth increased by 7·4 years (95% uncertainty interval 7·1-7·8), from 65·6 years (65·3-65·8) in 1990 to 73·0 years (72·7-73·3) in 2017. The increase in years of life varied from 5·1 years (5·0-5·3) in high SDI countries to 12·0 years (11·3-12·8) in low SDI countries. Of the additional years of life expected at birth, 26·3% (20·1-33·1) were expected to be spent in poor health in high SDI countries compared with 11·7% (8·8-15·1) in low-middle SDI countries. HALE at birth increased
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- 2018
44. Trend of socio-demographic index and mortality estimates in Iran and its neighbors, 1990-2015; Findings of the global burden of diseases 2015 study
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Moradi-Lakeh, M, Sepanlou, SG, Karimi, SM, Khalili, N, Djalalinia, S, Karimkhani, C, Krohn, K, Afshin, A, Farzadfar, F, Kiadaliri, AA, Asadi-Lari, M, Asayesh, H, Esteghamati, AR, Farvid, MS, Fereshtehnejad, S-M, Heydarpour, P, Khosravi, A, Khubchandani, J, Kasaeian, A, Rana, SM, Mahdavi, M, Masoudifarid, H, Mohammadi, A, Pourmalek, F, Qorbani, M, Radfar, A, Rahimi, K, Rahimi-Movaghar, V, Roshandel, G, Safi, S, Salamati, P, Tehrani-Banihashemi, A, Bazargan-Hejazi, S, Vos, T, Malekzadeh, R, Mokdad, AH, Murray, CJL, and Naghavi, M
- Subjects
Adult ,Aged, 80 and over ,Male ,Adolescent ,Epidemiology ,Infant, Newborn ,Infant ,Iran ,Middle Aged ,Global Burden of Disease ,Middle East ,Young Adult ,Life Expectancy ,Risk Factors ,Child, Preschool ,Humans ,Female ,Quality-Adjusted Life Years ,Mortality ,Child ,Aged ,Demography - Abstract
Background: The Global burden of disease and injuries study (GBD 2015) reports expected measures for years of life lost (YLL) based on socio-demographic index (SDI) of countries, as well as the observed measures. In this extended GBD 2015 report, we reviewed total and cause-specific deaths and YLL for Iran and all its neighboring countries between 1990 and 2015. Methods: We extracted data from the GBD 2015 database. Observed YLL measures were calculated by multiplying the number of deaths by standard life expectancy at each age. SDI was a composite index, calculated based on income per capita, average years of schooling, and total fertility rate. The GBD world population was used for age standardization. Results: All-ages crude death rate in Iran reduced from 665.6 per 100,000 population (95% uncertainty interval: 599.3–731.6) in 1990 to 487.2 (414.9–566.1) in 2015. The ratio of observed to expected YLL (O/E ratio) for all-causes ranged between 0.54 (Turkey) and 1.95 (Russia) in 2015. For Iran, the all-causes O/E ratio was less than 1 in all years (19902015), except 2003. However, cause-specific O/E ratio was more than 1 for some causes, including the top leading causes of YLL (ischemic heart disease, road injuries, and cerebrovascular disorders). Ischemic heart disease was the first or second cause of YLL in all comparator countries except Afghanistan. Conclusion: The leading YLL causes with high O/E ratios should be prioritized in public health efforts. In addition to research evidence, countries with low O/E ratios should be scrutinized to find feasible innovative interventions.
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- 2020
45. Global and regional prevalence, burden and risk factors for carotid atherosclerosis: a systematic review and modelling analysis
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Song, P, Fang, Z, Wang, H, Cai, Y, Rahimi, K, Zhu, Y, Fowkes, FGR, Fowkes, FJI, and Rudan, I
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cardiovascular system ,cardiovascular diseases ,0605 Microbiology ,1117 Public Health and Health Services - Abstract
Background Estimation of the epidemiological burden of carotid atherosclerosis can serve as a basis for prevention and management of cardiovascular disease. We aimed to provide the first estimation on the prevalence, number of cases, and risk factors for carotid atherosclerosis in the general population globally and regionally. Methods In this systematic review, meta-analysis, and modelling study, we searched PubMed, MEDLINE, Embase, Global Health, and China National Knowledge Infrastructure for articles published from database inception until May 7, 2019, with no language restrictions, for population-based studies that quantified prevalence of carotid atherosclerosis by means of increased carotid intima-media thickness, carotid plaque, and carotid stenosis. Studies were eligible if they included bilaterally scanned carotid arteries using ultrasonography and defined increased carotid intima-media thickness as a thickness of 1·0 mm or more, carotid plaque as a focal carotid intima-media thickness of 1·5 mm or more encroaching into the lumen or at least 0·5 mm or 50% compared with the surrounding carotid intima-media thickness values, and carotid stenosis as 50% or more stenosis. Studies were excluded if the sample was not representative of the general population. We also included studies identified in our previous systematic review and meta-analysis of the prevalence of carotid atherosclerosis in China. We estimated age-specific and sex-specific prevalences of increased carotid intima-media thickness, carotid plaque, and carotid stenosis. We used UN population data to generate the number of people affected in 2000, 2015, and 2020. We did random-effects meta-analyses to assess the effects of risk factors for increased carotid intima-media thickness and carotid plaque. We derived regional numbers of people living with increased carotid intima-media thickness and carotid plaque in 2015 using a risk factors-based model by WHO region. All analyses were done in populations aged 30–79 years due to availability of data. This systematic review and meta-analysis is registered online on PROSPERO, CRD42019134709. Findings We identified 8632 articles through our database search, of which 515 were eligible for full-text review, including 37 articles from our previous study, and 59 articles were eligible for inclusion in our systematic review and meta-analysis. Overall, in people aged 30–79 years in 2020, the global prevalence of increased carotid intima-media thickness is estimated to be 27·6% (95% CI 16·9–41·3), equivalent to 1066·70 million affected people and a percentage change of 57·46% from 2000; of carotid plaque is estimated to be 21·1% (13·2–31·5), equivalent to 815·76 million affected people and a percentage change of 58·97% from 2000; and carotid stenosis is estimated to be 1·5% (1·1–2·1), equivalent to 57·79 million affected people and a percentage change of 59·13% from 2000. The prevalence of increased carotid intima-media thickness, carotid plaque, and carotid stenosis increased consistently with age and was higher in men than in women. Current smoking, diabetes, and hypertension were common risk factors for increased carotid intima-media thickness and carotid plaque. In 2015, the Western Pacific region had the largest share of global cases of increased carotid intima-media thickness (317·62 million [33·36%] of 952·13 million affected people) and carotid plaque (240·77 million [33·20%] of 725·25 million), whereas the African region had the smallest share of cases of increased carotid intima-media thickness (59·08 million [6·21%]) and the Eastern Mediterranean region had the smallest share of carotid plaque cases (44·59 million [6·15%]). Interpretation A substantial global burden of carotid atherosclerosis exists. Effective strategies are needed for primary prevention and management of carotid atherosclerosis. High-quality epidemiological investigations on carotid atherosclerosis are needed to better address the global burden of carotid atherosclerosis at finer levels.
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- 2020
46. BEHRT: Transformer for Electronic Health Records
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Li, Y, Rao, S, Solares, JRA, Hassaine, A, Ramakrishnan, R, Canoy, D, Zhu, Y, Rahimi, K, Salimi-Khorshidi, G, Li, Y, Rao, S, Solares, JRA, Hassaine, A, Ramakrishnan, R, Canoy, D, Zhu, Y, Rahimi, K, and Salimi-Khorshidi, G
- Abstract
Today, despite decades of developments in medicine and the growing interest in precision healthcare, vast majority of diagnoses happen once patients begin to show noticeable signs of illness. Early indication and detection of diseases, however, can provide patients and carers with the chance of early intervention, better disease management, and efficient allocation of healthcare resources. The latest developments in machine learning (including deep learning) provides a great opportunity to address this unmet need. In this study, we introduce BEHRT: A deep neural sequence transduction model for electronic health records (EHR), capable of simultaneously predicting the likelihood of 301 conditions in one’s future visits. When trained and evaluated on the data from nearly 1.6 million individuals, BEHRT shows a striking improvement of 8.0–13.2% (in terms of average precision scores for different tasks), over the existing state-of-the-art deep EHR models. In addition to its scalability and superior accuracy, BEHRT enables personalised interpretation of its predictions; its flexible architecture enables it to incorporate multiple heterogeneous concepts (e.g., diagnosis, medication, measurements, and more) to further improve the accuracy of its predictions; its (pre-)training results in disease and patient representations can be useful for future studies (i.e., transfer learning).
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- 2020
47. Self-reported and objectively measured physical activity in people with and without chronic heart failure: UK Biobank analysis.
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O'Donnell, J, Smith-Byrne, K, Velardo, C, Conrad, N, Salimi-Khorshidi, G, Doherty, A, Dwyer, T, Tarassenko, L, Rahimi, K, O'Donnell, J, Smith-Byrne, K, Velardo, C, Conrad, N, Salimi-Khorshidi, G, Doherty, A, Dwyer, T, Tarassenko, L, and Rahimi, K
- Abstract
OBJECTIVE: The impact of heart failure (HF) on perceived and objectively measured levels of physical activity (PA) can inform risk stratification and treatment recommendation. We aimed to compare self-reported and objectively measured PA levels in a large sample of participants with and without HF. METHODS: A validated PA questionnaire was used to estimate self-reported weekly PA among 1600 participants with HF and 387 580 participants without HF. Accelerometer data were studied in 596 participants with HF and 96 105 participants without HF for a period of 7 days. Using multivariable linear regression models, we compared the PA levels between participants with HF and without HF, focusing on both the average daily PA levels and the intensity of PAs throughout the day. RESULTS: PA levels were significantly lower in participants with HF using both self-report (excess metabolic equivalent of task hours per week of 26.5 (95% CI 24.7 to 28.4) vs 34.7 (95% CI 34.5 to 34.9), respectively (p<0.001)) and accelerometer measures (mean accelerations of 23.7 milligravity (95% CI 23.1 to 24.4) vs 28.1 milligravity (95% CI 28.0 to 28.1), respectively (p<0.001)). Findings were consistent across different PA intensities. Hour-by-hour comparisons showed that accelerometer-derived PA levels of patients with HF were reduced throughout the day. CONCLUSION: Perceived and objectively recorded PA levels of patients with chronic HF are significantly lower than those of individuals without HF. This difference is continuous throughout the different hours of the day, with individuals with HF being on average 16% less active than individuals without HF. In patients with HF, increases in everyday activity may be a potential alternative to structured exercise programmes.
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- 2020
48. A way to a woman’s heart might be through her bones
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Canoy, D and Rahimi, K
- Subjects
medicine.medical_specialty ,business.industry ,Atherosclerotic cardiovascular disease ,030204 cardiovascular system & hematology ,medicine.disease ,Coronary artery disease ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,Atheromatous Plaques ,Ischaemic stroke ,medicine ,Cardiology ,cardiovascular diseases ,030212 general & internal medicine ,Myocardial infarction ,Cardiology and Cardiovascular Medicine ,business ,Stroke ,Vascular calcification ,Calcification - Abstract
As foam-cell and lipid-pool accumulates over time, the arterial intimal layer thickens and atheromatous plaques eventually develops, which can potentially lead to tissue ischaemia.1 The progression of atherogenesis can affect the circulation of the heart or the brain, with myocardial infarction and ischaemic stroke among the debilitating consequences. In advanced atherosclerosis, the presence of calcified deposits is an important feature in these atheromatous plaques and it is informative of subsequent risk of atherosclerotic cardiovascular disease (ASCVD). Various modalities have been used to detect vascular calcification, and the coronary artery calcium (CAC) is a widely used indicator of atherosclerotic burden, thereby, a predictor of future risk of ASCVD.2 Although debate exists regarding the use of CAC as a screening tool to assess and manage ASCVD risk,3 several clinical guidelines have suggested the utility of CAC score to improve risk stratification and guide clinical management, particularly for those who are at low or intermediate risk of ASCVD.4 5 Nevertheless, the cost of assessing CAC is not negligible, and exposure to radiation when assessing CAC using CT scan might be an issue for some. Interestingly, calcification of the arterial tissue has long been recognised …
- Published
- 2021
- Full Text
- View/download PDF
49. HPS2-THRIVE randomized placebo-controlled trial in 25 673 high-risk patients of ER niacin/laropiprant: trial design, pre-specified muscle and liver outcomes, and reasons for stopping study treatment
- Author
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Haynes, Richard, Jiang, Lixin, Hopewell, Jemma C, Li, Jing, Chen, Fang, Parish, Sarah, Landray, Martin J., Collins, Rory, Armitage, Jane, Collins, R., Armitage, J., Baigent, C., Chen, Z., Landray, M., Chen, Y., Jiang, L., Pedersen, T., Landray, M., Bowman, L., Chen, F., Hill, M., Haynes, R., Knott, C., Rahimi, K., Tobert, J., Sleight, P., Simpson, D., Parish, S., Baxter, A., Lay, M., Bray, C., Wincott, E., Leijenhorst, G., Skattebol, A., Moen, G., Mitchel, Y., Kuznetsova, O., MacMahon, S., Kjekshus, J., Hill, C., Lam, T.H., Sandercock, P., Peto, R., and Hopewell, J.C.
- Published
- 2013
- Full Text
- View/download PDF
50. Effect of blood pressure lowering treatment on the risk of atrial fibrillation: an individual-participant data meta-analysis
- Author
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Pinho-Gomes, A.C, primary, Azevedo, L, additional, Copland, E, additional, Canoy, D, additional, Nazarzadeh, M, additional, Remakrishnan, R, additional, Berge, E, additional, Sundstrom, J, additional, Kotecha, D, additional, Woodward, M, additional, and Rahimi, K, additional
- Published
- 2020
- Full Text
- View/download PDF
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