Search

Your search keyword '"Omland T"' showing total 657 results
Start Over Author "Omland T"
657 results on '"Omland T"'

5. Comparing electrophysiological biomarkers and circulating cardiac biomarkers in predicting cardiovascular mortality and all-cause mortality in the akershus sleep apnea (ASAP) epidemiological cohort

Author

Nahoui, H, primary, Feng, X, additional, Oeverby, T C, additional, Sigurdardottir, F D, additional, Hrubos-Stroem, H, additional, Omland, T, additional, Einvik, G, additional, Nikkonen, S, additional, Leppaenen, T, additional, Arnardottir, E S, additional, Toeyraes, J, additional, and Myllymaa, S, additional

Published
2023
Full Text
View/download PDF

9. Plasma Advanced Glycation End Products and Dicarbonyl Compounds Are Not Associated with Coronary Atherosclerosis in Athletes.

Author

Berge, Kristian, Aengevaeren, V.L., Mosterd, Arend, Velthuis, B.K., Lyngbakken, M.N., Omland, T., Schalkwijk, C.G., Eijsvogels, T.M.H., Berge, Kristian, Aengevaeren, V.L., Mosterd, Arend, Velthuis, B.K., Lyngbakken, M.N., Omland, T., Schalkwijk, C.G., and Eijsvogels, T.M.H.

Abstract

Item does not contain fulltext, PURPOSE: Coronary atherosclerosis is the leading cause of sudden death among athletes >35 yr old, but current cardiovascular risk prediction algorithms have not been validated for athletes. Advanced glycation end products (AGE) and dicarbonyl compounds have been associated with atherosclerosis and rupture-prone plaques in patients and ex vivo studies. The detection of AGE and dicarbonyl compounds might be a novel screening tool for high-risk coronary atherosclerosis in older athletes. METHODS: Concentrations of three different AGE and the dicarbonyl compounds methylglyoxal, glyoxal, and 3-deoxyglucosone were measured in plasma with ultraperformance liquid chromatography tandem mass spectrometry in athletes from the Measuring Athletes' Risk of Cardiovascular Events 2 study cohort. Coronary plaques, plaque characteristics (calcified, noncalcified or mixed), and coronary artery calcium (CAC) scores were assessed with coronary computed tomography, and potential associations with AGE and dicarbonyl compounds were analyzed using linear and logistic regression. RESULTS: A total of 289 men were included (60 [quartiles 1-3 = 56-66] yr old, body mass index = 24.5 [22.9-26.6] kg·m -2 ), with a weekly exercise volume of 41 (25-57) MET-hours. Coronary plaques were detected in 241 participants (83%), with a dominant plaque type of calcified plaques in 42%, noncalcified plaques in 12% and mixed plaques in 21%. No AGE or dicarbonyl compounds were associated with total number of plaques or any of the plaque characteristics in adjusted analyses. Similarly, AGE and dicarbonyl compounds were not associated with CAC score. CONCLUSIONS: Concentrations of plasma AGE and dicarbonyl compounds do not predict the presence of coronary plaques, plaque characteristics or CAC scores, in middle-age and older athletes.

Published
2023

17. Validation of a novel high-sensitivity cardiac troponin assay

Author

Restan, I, primary, Steiro, O T, additional, Tjora, H L, additional, Langoergen, J, additional, Omland, T, additional, Collinson, P, additional, Bjoerneklett, R, additional, Vikenes, K, additional, Steinsvik, T, additional, Skadberg, O, additional, Mjelva, O R, additional, Larsen, A I, additional, Bonarjee, V S, additional, and Aakre, K M, additional

Published
2022
Full Text
View/download PDF

18. SCORE2 risk prediction algorithms: new models to estimate 10-year risk of cardiovascular disease in Europe

Author

Hageman, S., Pennells, L., Ojeda, F., Kaptoge, S., Kuulasmaa, K., Vries, T. de, Xu, Z., Kee, F., Chung, R., Wood, A., McEvoy, J.W., Veronesi, G., Bolton, T., Dendale, P., Ference, B.A., Halle, M., Timmis, A., Vardas, P., Danesh, J., Graham, I., Salomaa, V., Visseren, F., Bacquer, D. de, Blankenberg, S., Dorresteijn, J., Angelantonio, E. di, Achenbach, S., Aleksandrova, K., Amiano, P., Amouyel, P., Andersson, J., Bakker, S.J.L., Costa, R.B.D., Beulens, J.W.J., Blaha, M., Bobak, M., Boer, J.M.A., Bonet, C., Bonnet, F., Boutron-Ruault, M.C., Braaten, T., Brenner, H., Brunner, F., Brunner, E.J., Brunstrom, M., Buring, J., Butterworth, A.S., Capkova, N., Cesana, G., Chrysohoou, C., Colorado-Yohar, S., Cook, N.R., Cooper, C., Dahm, C.C., Davidson, K., Dennison, E., Castelnuovo, A. di, Donfrancesco, C., Dorr, M., Dorynska, A., Eliasson, M., Engstrom, G., Ferrari, P., Ferrario, M., Ford, I., Fu, M., Gansevoort, R.T., Giampaoli, S., Gillum, R.F., Camara, A.G. de la, Grassi, G., Hansson, P.O., Huculeci, R., Hveem, K., Iacoviello, L., Ikram, M.K., Jorgensen, T., Joseph, B., Jousilahti, P., Jukema, J.W., Kaaks, R., Katzke, V., Kavousi, M., Kiechl, S., Klotsche, J., Konig, W., Kronmal, R.A., Kubinova, R., Kucharska-Newton, A., Lall, K., Lehmann, N., Leistner, D., Linneberg, A., Pablos, D.L., Lorenz, T., Lu, W.T., Luksiene, D., Lyngbakken, M., Magnussen, C., Malyutina, S., Ibanez, A.M., Masala, G., Mathiesen, E.B., Matsushita, K., Meade, T.W., Melander, O., Meyer, H.E., Moons, K.G.M., Moreno-Iribas, C., Muller, D., Munzel, T., Nikitin, Y., Nordestgaard, B.G., Omland, T., Onland, C., Overvad, K., Packard, C., Pajak, A., Palmieri, L., Panagiotakos, D., Panico, S., Perez-Cornago, A., Peters, A., Pietila, A., Pikhart, H., Psaty, B.M., Quarti-Trevano, F., Garcia, J.R.Q., Riboli, E., Ridker, P.M., Rodriguez, B., Rodriguez-Barranco, M., Rosengren, A., Roussel, R., Sacerdote, C., Sans, S., Sattar, N., Schiborn, C., Schmidt, B., Schottker, B., Schulze, M., Schwartz, J.E., Selmer, R.M., Shea, S., Shipley, M.J., Sieri, S., Soderberg, S., Sofat, R., Tamosiunas, A., Thorand, B., Tillmann, T., Tjonneland, A., Tong, T.Y.N., Trichopoulou, A., Tumino, R., Tunstall-Pedoe, H., Tybjaerg-Hansen, A., Tzoulaki, J., Heijden, A. van der, Schouw, Y.T. van der, Verschuren, W.M.M., Volzke, H., Waldeyer, C., Wareham, N.J., Weiderpass, E., Weidinger, F., Wild, P., Willeit, J., Willeit, P., Wilsgaard, T., Woodward, M., Zeller, T., Zhang, D.D., Zhou, B., SCORE2 Working Grp, ESC Cardiovasc Risk Collaboration, collaboration, SCORE2 working group and ESC Cardiovascular risk, Groningen Institute for Organ Transplantation (GIOT), Groningen Kidney Center (GKC), Cardiovascular Centre (CVC), Epidemiology, Neurology, Achenbach, S, Aleksandrova, K, Amiano, P, San Sebastian, D, Amouyel, P, Andersson, J, Bakker, S, Da Providencia Costa, R, Beulens, J, Blaha, M, Bobak, M, Boer, J, Bonet, C, Bonnet, F, Boutron-Ruault, M, Braaten, T, Brenner, H, Brunner, F, Brunner, E, Brunström, M, Buring, J, Butterworth, A, Capkova, N, Cesana, G, Chrysohoou, C, Colorado-Yohar, S, Cook, N, Cooper, C, Dahm, C, Davidson, K, Dennison, E, Di Castelnuovo, A, Donfrancesco, C, Dörr, M, Doryńska, A, Eliasson, M, Engström, G, Ferrari, P, Ferrario, M, Ford, I, Fu, M, Gansevoort, R, Giampaoli, S, Gillum, R, Gómez de la Cámara, A, Grassi, G, Hansson, P, Huculeci, R, Hveem, K, Iacoviello, L, Ikram, M, Jørgensen, T, Joseph, B, Jousilahti, P, Wouter Jukema, J, Kaaks, R, Katzke, V, Kavousi, M, Kiechl, S, Klotsche, J, König, W, Kronmal, R, Kubinova, R, Kucharska-Newton, A, Läll, K, Lehmann, N, Leistner, D, Linneberg, A, Pablos, D, Lorenz, T, Lu, W, Luksiene, D, Lyngbakken, M, Magnussen, C, Malyutina, S, Ibañez, A, Masala, G, Mathiesen, E, Matsushita, K, Meade, T, Melander, O, Meyer, H, Moons, K, Moreno-Iribas, C, Muller, D, Münzel, T, Nikitin, Y, Nordestgaard, B, Omland, T, Onland, C, Overvad, K, Packard, C, Pająk, A, Palmieri, L, Panagiotakos, D, Panico, S, Perez-Cornago, A, Peters, A, Pietilä, A, Pikhart, H, Psaty, B, Quarti-Trevano, F, Garcia, J, Riboli, E, Ridker, P, Rodriguez, B, Rodriguez-Barranco, M, Rosengren, A, Roussel, R, Sacerdote, C, S, S, Sattar, N, Schiborn, C, Schmidt, B, Schöttker, B, Schulze, M, Schwartz, J, Selmer, R, Shea, S, Shipley, M, Sieri, S, Söderberg, S, Sofat, R, Tamosiunas, A, Thorand, B, Tillmann, T, Tjønneland, A, Tong, T, Trichopoulou, A, Tumino, R, Tunstall-Pedoe, H, Tybjaerg-Hansen, A, Tzoulaki, J, van der Heijden, A, van der Schouw, Y, Verschuren, W, Völzke, H, Waldeyer, C, Wareham, N, Weiderpass, E, Weidinger, F, Wild, P, Willeit, J, Willeit, P, Wilsgaard, T, Woodward, M, Zeller, T, Zhang, D, Zhou, B, and Apollo - University of Cambridge Repository

Subjects
Male, Cardiology, RATIONALE, Blood Pressure, Disease, 030204 cardiovascular system & hematology, PROFILE, ACUTE CORONARY EVENTS, VALIDATION, Europe/epidemiology, 03 medical and health sciences, 0302 clinical medicine, SDG 3 - Good Health and Well-being, DESIGN, Clinical Research, Risk Factors, Diabetes mellitus, medicine, PARTICIPANTS, Humans, 030212 general & internal medicine, Risk factor, Aged, Primary prevention, business.industry, 10-year CVD risk, Incidence (epidemiology), Cardiovascular Diseases/epidemiology, Risk Prediction, Cardiovascular Disease, Primary Prevention, 10-year Cvd Risk, External validation, PRIMARY-CARE, Middle Aged, medicine.disease, Cardiovascular disease, Risk prediction, 3. Good health, Europe, Prediction algorithms, Blood pressure, Cardiovascular Diseases, Smoking status, Female, Cardiology and Cardiovascular Medicine, business, Algorithms, Demography
Abstract

Aims The aim of this study was to develop, validate, and illustrate an updated prediction model (SCORE2) to estimate 10-year fatal and non-fatal cardiovascular disease (CVD) risk in individuals without previous CVD or diabetes aged 40-69 years in Europe.Methods and results We derived risk prediction models using individual-participant data from 45 cohorts in 13 countries (677 684 individuals, 30 121 CVD events). We used sex-specific and competing risk-adjusted models, including age, smoking status, systolic blood pressure, and total- and HDL-cholesterol. We defined four risk regions in Europe according to country-specific CVD mortality, recalibrating models to each region using expected incidences and risk factor distributions. Region-specific incidence was estimated using CVD mortality and incidence data on 10 776 466 individuals. For external validation, we analysed data from 25 additional cohorts in 15 European countries (1 133 181 individuals, 43 492 CVD events). After applying the derived risk prediction models to external validation cohorts, C-indices ranged from 0.67 (0.65-0.68) to 0.81 (0.76-0.86). Predicted CVD risk varied several-fold across European regions. For example, the estimated 10-year CVD risk for a 50-year-old smoker, with a systolic blood pressure of 140 mmHg, total cholesterol of 5.5 mmol/L, and HDL-cholesterol of 1.3 mmol/L, ranged from 5.9% for men in low- risk countries to 14.0% for men in very high-risk countries, and from 4.2% for women in low-risk countries to 13.7% for women in very high-risk countries.Conclusion SCORE2-a new algorithm derived, calibrated, and validated to predict 10-year risk of first-onset CVD in European populations-enhances the identification of individuals at higher risk of developing CVD across Europe. Acknowledgements We thank investigators and participants of the several studies that contributed data to the Emerging Risk Factors Collaboration (ERFC). This research has been conducted using the UK Biobank Resource under Application Number 26865. Data from the Clinical Practice Research Datalink (CPRD) were obtained under licence from the UK Medicines and Healthcare products Regulatory Agency (protocol 162RMn2). CPRD uses data provided by patients and collected by the NHS as part of their care and support. We thank all EPIC participants and staff for their contribution to the study, the laboratory teams at the Medical Research Council Epidemiology Unit for sample management and Cambridge Genomic Services for genotyping, Sarah Spackman for data management and the team at the EPIC-CVD Coordinating Centre for study co-ordination and administration. Funding The ERFC co-ordinating centre was underpinned by programme grants from the British Heart Foundation (SP/09/002; RG/13/13/30194; RG/18/13/33946), BHF Centre of Research Excellence (RE/18/1/34212), the UK Medical Research Council (MR/L003120/1), and the National Institute for Health Research (NIHR) Cambridge Biomedical Research Centre (BRC1215-20014), with project-specific support received from the UK NIHR [*], British United Provident Association UK Foundation and an unrestricted educational grant from GlaxoSmithKline. A variety of funding sources have supported recruitment, follow-up, and laboratory measurements in the studies contributing data to the ERFC, which are listed on the ERFC website (www.phpc.cam.ac.uk/ceu/erfc/list-of-studies). *The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care. This work was supported by Health Data Research UK, which is funded by the UK Medical Research Council, Engineering and Physical Sciences Research Council, Economic and Social Research Council, Department of Health and Social Care (England), Chief Scientist Office of the Scottish Government Health and Social Care Directorates, Health and Social Care Research and Development Division (Welsh Government), Public Health Agency (Northern Ireland), British Heart Foundation, and Wellcome. The MORGAM Project has received funding from EU projects MORGAM (Biomed BMH4-CT98-3183), GenomEUtwin (FP5, QLG2-CT-2002-01254), ENGAGE (FP7, HEALTH-F4-2007-201413),CHANCES (FP7, HEALTH-F3-2010-242244), BiomarCaRE (FP7,HEALTH-F2-2011-278913), euCanSHare (Horizon 2020, No. 825903) and AFFECT-EU (Horizon 2020, No. 847770); and Medical Research Council, London (G0601463, No. 80983: Biomarkers in the MORGAM Populations). This has supported central coordination, workshops and part of the activities of the MORGAM Data Centre, the MORGAM Laboratories and the MORGAM Participating Centres EPIC-CVD was funded by the European Research Council (268834), and the European Commission Framework Programme 7 (HEALTH-F2-2012-279233). This work was supported by the Estonian Research Council grant PUTs (PRG687, PUT1660, PUT1665, PRG184), by European Union through the European Regional Development Fund project no. MOBERA5 (Norface Network project no 462.16.107), by the Green ICT programme under Norway Grants 2014 – 2021 (grant number EU53928), by the European Union through Horizon 2020 grant no. 810645 and through the European Regional Development Fund (Project No. 2014-2020.4.01.16-0125) and by the PRECISE4Q consortium. PRECISE4Q project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant agreement 777107. This work was partly funded through the CoMorMent project. CoMorMent has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant agreement 847776. The KORA study was initiated and financed by the Helmholtz Zentrum Mu¨nchen—German Research Center for Environmental Health, which is funded by the German Federal Ministry of Education and Research (BMBF) and by the State of Bavaria. The KORA study was supported by a research grant from the Virtual Institute of Diabetes Research (Helmholtz Zentrum Mu¨nchen), the Clinical Cooperation Group Diabetes between Ludwig-Maximilians-Universita¨t Mu¨nchen and Helmholtz Zentrum Mu¨nchen, and by the German Diabetes Center (DDZ). The HAPIEE project, Institute, was supported by grants from the Wellcome Trust (064947/Z/01/Z; WT081081) and US National Institute on Aging (1R01 and AG23522). The co-ordination of EPIC is financially supported by International Agency for Research on Cancer (IARC) and also by the Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, which has additional infrastructure support provided by the NIHR Imperial Biomedical Research Centre (BRC). The national cohorts are supported by: Danish Cancer Society (Denmark); Ligue Contre le Cancer, Institut Gustave Roussy, Mutuelle Ge´ne´rale de l’Education Nationale, Institut National de la Sante´ et de la Recherche Me´dicale (INSERM) (France); German Cancer Aid, German Cancer Research Center (DKFZ), German Institute of Human Nutrition Potsdam Rehbruecke (DIfE), Federal Ministry of Education and Research (BMBF) (Germany); Associazione Italiana per la Ricerca sul Cancro-AIRC-Italy, Compagnia di SanPaolo and National Research Council (Italy); Dutch 2448 SCORE2 working group and ESC Cardiovascular Risk Collaboration Ministry of Public Health, Welfare and Sports (VWS), Netherlands Cancer Registry (NKR), LK Research Funds, Dutch Prevention Funds, Dutch ZON (Zorg Onderzoek Nederland), World Cancer Research Fund (WCRF), Statistics Netherlands (The Netherlands); Health Research Fund (FIS)—Instituto de Salud Carlos III (ISCIII), Regional Governments of Andalucı´a, Asturias, Basque Country, Murcia and Navarra, and the Catalan Institute of Oncology—ICO (Spain); Swedish Cancer Society, Swedish Research Council and County Councils of Ska˚ne and Va¨sterbotten (Sweden); Cancer Research UK (14136 to EPIC-Norfolk; C8221/A29017 to EPIC-Oxford), Medical Research Council (1000143 to EPIC-Norfolk; MR/M012190/1 to EPIC-Oxford) (United Kingdom)

Published
2021
Full Text
View/download PDF

25. Getting Cardiac Troponin Right: Appraisal of the 2020 European Society of Cardiology Guidelines for the Management of Acute Coronary Syndromes in Patients Presenting without Persistent ST-Segment Elevation by the International Federation of Clinical Chemistry and Laboratory Medicine Committee on Clinical Applications of Cardiac Bio-Markers

Author

Apple, FS, Collinson, PO, Kavsak, PA, Body, R, Ordóñez-Llanos, J, Saenger, AK, Omland, T, Hammarsten, O, Jaffe, AS, and IFCC Committee Clinical Application of Cardiac Biomarkers

Subjects
education
Abstract

The Committee on the Clinical Application of Cardiac Biomarkers (C-CB) of the International Federation of Clinical Chemistry (IFCC) represents international groups from laboratory medicine, cardiology and emergency medicine involved in providing global educational guidance pertaining to the analytical and clinical applications of cardiac biomarkers. For that reason, most of the members are involved with national and international studies and trials pertaining to high sensitivity (hs) cardiac troponins I and T (cTnI and cTnT) (1-3). Although the recently published '2020 European Society of Cardiology (ESC) guidelines for the management of acute coronary syndromes in patients presenting without persistent ST-segment elevation' present some topics very well, the current special report was developed to delineate our specific concerns regarding the ESB guidance for the use of hs-cardiac troponin (hs-cTn) (4).

Published
2021

26. Expert consensus on peri-operative myocardial injury screening in noncardiac surgery A literature review

Author

Puelacher, C, Pinto, BB, Mills, NL, Duceppe, E, Popova, E, Duma, A, Nagele, P, Omland, T, Hammerer-Lercher, A, and Buse, GL

Abstract

Peri-operative myocardial injury, detected by dynamic and elevated cardiac troponin (cTn) concentrations, is a common complication of noncardiac surgery that is strongly associated with 30-day mortality. Although active screening for peri-operative myocardial injury has been suggested in recent guidelines, clinical implementation remains tentative due to a lack of examples on how to tackle such an interdisciplinary project at a local level. Moreover, consensus on which assay and cTn cut-off values should be used has not yet been reached, and guidance on whom to screen is lacking. In this article, we aim to summarise local examples of successfully implemented cTn screening practices and review the current literature in order to provide information and suggestions for patient selection, organisation of a screening programme, caveats and a potential management pathway.

Published
2021

27. SCORE2 risk prediction algorithms: new models to estimate 10-year risk of cardiovascular disease in Europe

Author

Achenbach, S, Aleksandrova, K, Amiano, P, San Sebastian, D, Amouyel, P, Andersson, J, Bakker, S, Da Providencia Costa, R, Beulens, J, Blaha, M, Bobak, M, Boer, J, Bonet, C, Bonnet, F, Boutron-Ruault, M, Braaten, T, Brenner, H, Brunner, F, Brunner, E, Brunström, M, Buring, J, Butterworth, A, Capkova, N, Cesana, G, Chrysohoou, C, Colorado-Yohar, S, Cook, N, Cooper, C, Dahm, C, Davidson, K, Dennison, E, Di Castelnuovo, A, Donfrancesco, C, Dörr, M, Doryńska, A, Eliasson, M, Engström, G, Ferrari, P, Ferrario, M, Ford, I, Fu, M, Gansevoort, R, Giampaoli, S, Gillum, R, Gómez de la Cámara, A, Grassi, G, Hansson, P, Huculeci, R, Hveem, K, Iacoviello, L, Ikram, M, Jørgensen, T, Joseph, B, Jousilahti, P, Wouter Jukema, J, Kaaks, R, Katzke, V, Kavousi, M, Kiechl, S, Klotsche, J, König, W, Kronmal, R, Kubinova, R, Kucharska-Newton, A, Läll, K, Lehmann, N, Leistner, D, Linneberg, A, Pablos, D, Lorenz, T, Lu, W, Luksiene, D, Lyngbakken, M, Magnussen, C, Malyutina, S, Ibañez, A, Masala, G, Mathiesen, E, Matsushita, K, Meade, T, Melander, O, Meyer, H, Moons, K, Moreno-Iribas, C, Muller, D, Münzel, T, Nikitin, Y, Nordestgaard, B, Omland, T, Onland, C, Overvad, K, Packard, C, Pająk, A, Palmieri, L, Panagiotakos, D, Panico, S, Perez-Cornago, A, Peters, A, Pietilä, A, Pikhart, H, Psaty, B, Quarti-Trevano, F, Garcia, J, Riboli, E, Ridker, P, Rodriguez, B, Rodriguez-Barranco, M, Rosengren, A, Roussel, R, Sacerdote, C, S, S, Sattar, N, Schiborn, C, Schmidt, B, Schöttker, B, Schulze, M, Schwartz, J, Selmer, R, Shea, S, Shipley, M, Sieri, S, Söderberg, S, Sofat, R, Tamosiunas, A, Thorand, B, Tillmann, T, Tjønneland, A, Tong, T, Trichopoulou, A, Tumino, R, Tunstall-Pedoe, H, Tybjaerg-Hansen, A, Tzoulaki, J, van der Heijden, A, van der Schouw, Y, Verschuren, W, Völzke, H, Waldeyer, C, Wareham, N, Weiderpass, E, Weidinger, F, Wild, P, Willeit, J, Willeit, P, Wilsgaard, T, Woodward, M, Zeller, T, Zhang, D, Zhou, B, Bakker, SJL, Da Providencia Costa, RB, Beulens, JWJ, Boer, JMA, Boutron-Ruault, MC, Brunner, EJ, Butterworth, AS, Cook, NR, Dahm, CC, Gansevoort, RT, Gillum, RF, Hansson, PO, Ikram, MK, Kronmal, RA, Pablos, DL, Malyutina, So, Ibañez, AM, Mathiesen, EB, Meade, TW, Meyer, HE, Moons, KGM, Nordestgaard, BG, Psaty, BM, Garcia, JRQ, Ridker, PM, C Sans, Schwartz, JE, Selmer, RM, Shipley, MJ, Tong, TYN, van der Schouw, YT, Verschuren, WMM, Wareham, NJ, Achenbach, S, Aleksandrova, K, Amiano, P, San Sebastian, D, Amouyel, P, Andersson, J, Bakker, S, Da Providencia Costa, R, Beulens, J, Blaha, M, Bobak, M, Boer, J, Bonet, C, Bonnet, F, Boutron-Ruault, M, Braaten, T, Brenner, H, Brunner, F, Brunner, E, Brunström, M, Buring, J, Butterworth, A, Capkova, N, Cesana, G, Chrysohoou, C, Colorado-Yohar, S, Cook, N, Cooper, C, Dahm, C, Davidson, K, Dennison, E, Di Castelnuovo, A, Donfrancesco, C, Dörr, M, Doryńska, A, Eliasson, M, Engström, G, Ferrari, P, Ferrario, M, Ford, I, Fu, M, Gansevoort, R, Giampaoli, S, Gillum, R, Gómez de la Cámara, A, Grassi, G, Hansson, P, Huculeci, R, Hveem, K, Iacoviello, L, Ikram, M, Jørgensen, T, Joseph, B, Jousilahti, P, Wouter Jukema, J, Kaaks, R, Katzke, V, Kavousi, M, Kiechl, S, Klotsche, J, König, W, Kronmal, R, Kubinova, R, Kucharska-Newton, A, Läll, K, Lehmann, N, Leistner, D, Linneberg, A, Pablos, D, Lorenz, T, Lu, W, Luksiene, D, Lyngbakken, M, Magnussen, C, Malyutina, S, Ibañez, A, Masala, G, Mathiesen, E, Matsushita, K, Meade, T, Melander, O, Meyer, H, Moons, K, Moreno-Iribas, C, Muller, D, Münzel, T, Nikitin, Y, Nordestgaard, B, Omland, T, Onland, C, Overvad, K, Packard, C, Pająk, A, Palmieri, L, Panagiotakos, D, Panico, S, Perez-Cornago, A, Peters, A, Pietilä, A, Pikhart, H, Psaty, B, Quarti-Trevano, F, Garcia, J, Riboli, E, Ridker, P, Rodriguez, B, Rodriguez-Barranco, M, Rosengren, A, Roussel, R, Sacerdote, C, S, S, Sattar, N, Schiborn, C, Schmidt, B, Schöttker, B, Schulze, M, Schwartz, J, Selmer, R, Shea, S, Shipley, M, Sieri, S, Söderberg, S, Sofat, R, Tamosiunas, A, Thorand, B, Tillmann, T, Tjønneland, A, Tong, T, Trichopoulou, A, Tumino, R, Tunstall-Pedoe, H, Tybjaerg-Hansen, A, Tzoulaki, J, van der Heijden, A, van der Schouw, Y, Verschuren, W, Völzke, H, Waldeyer, C, Wareham, N, Weiderpass, E, Weidinger, F, Wild, P, Willeit, J, Willeit, P, Wilsgaard, T, Woodward, M, Zeller, T, Zhang, D, Zhou, B, Bakker, SJL, Da Providencia Costa, RB, Beulens, JWJ, Boer, JMA, Boutron-Ruault, MC, Brunner, EJ, Butterworth, AS, Cook, NR, Dahm, CC, Gansevoort, RT, Gillum, RF, Hansson, PO, Ikram, MK, Kronmal, RA, Pablos, DL, Malyutina, So, Ibañez, AM, Mathiesen, EB, Meade, TW, Meyer, HE, Moons, KGM, Nordestgaard, BG, Psaty, BM, Garcia, JRQ, Ridker, PM, C Sans, Schwartz, JE, Selmer, RM, Shipley, MJ, Tong, TYN, van der Schouw, YT, Verschuren, WMM, and Wareham, NJ

Abstract

Aims: The aim of this study was to develop, validate, and illustrate an updated prediction model (SCORE2) to estimate 10-year fatal and non-fatal cardiovascular disease (CVD) risk in individuals without previous CVD or diabetes aged 40-69 years in Europe. Methods and results : We derived risk prediction models using individual-participant data from 45 cohorts in 13 countries (677 684 individuals, 30 121 CVD events). We used sex-specific and competing risk-adjusted models, including age, smoking status, systolic blood pressure, and total- and HDL-cholesterol. We defined four risk regions in Europe according to country-specific CVD mortality, recalibrating models to each region using expected incidences and risk factor distributions. Region-specific incidence was estimated using CVD mortality and incidence data on 10 776 466 individuals. For external validation, we analysed data from 25 additional cohorts in 15 European countries (1 133 181 individuals, 43 492 CVD events). After applying the derived risk prediction models to external validation cohorts, C-indices ranged from 0.67 (0.65-0.68) to 0.81 (0.76-0.86). Predicted CVD risk varied several-fold across European regions. For example, the estimated 10-year CVD risk for a 50-year-old smoker, with a systolic blood pressure of 140 mmHg, total cholesterol of 5.5 mmol/L, and HDL-cholesterol of 1.3 mmol/L, ranged from 5.9% for men in low-risk countries to 14.0% for men in very high-risk countries, and from 4.2% for women in low-risk countries to 13.7% for women in very high-risk countries. Conclusion : SCORE2-a new algorithm derived, calibrated, and validated to predict 10-year risk of first-onset CVD in European populations-enhances the identification of individuals at higher risk of developing CVD across Europe.

Published
2021

31. Cardiac troponin is associated with cardiac outcomes in men and women with atrial fibrillation, insights from the ARISTOTLE trial

Author

Rosjo, H., Hijazi, Ziad, Omland, T., Westerbergh, Johan, Lyngbakken, M. N., Alexander, J. H., Gersh, B. J., Granger, C. B., Hylek, E. M., Lopes, R. D., Siegbahn, Agneta, Wallentin, Lars, Rosjo, H., Hijazi, Ziad, Omland, T., Westerbergh, Johan, Lyngbakken, M. N., Alexander, J. H., Gersh, B. J., Granger, C. B., Hylek, E. M., Lopes, R. D., Siegbahn, Agneta, and Wallentin, Lars

Abstract

Background Cardiac troponin T (cTnT) and I (cTnI) concentrations provide strong prognostic information in anticoagulated patients with atrial fibrillation (AF). Whether the associations between cardiac troponin concentrations and mortality and morbidity differ by sex is not known. Objectives To assess whether men and women have different concentrations and prognostic value of cTnT and cTnI measurements in anticoagulated patients with AF. Methods cTnT and cTnI concentrations were measured with high-sensitivity (hs) assays in EDTA plasma samples obtained from the multicentre ARISTOTLE trial, which randomized patients with AF and at least one risk factor for stroke or systemic embolic event to warfarin or apixaban. Patients were stratified according to sex and the associations between hs-troponin concentrations, and all-cause death, cardiac death, myocardial infarction, stroke or systemic embolic event and major bleeding were assessed in multivariable regression models. Results We found higher cardiac troponin concentrations in men (n = 9649) compared to women (n = 5331), both for hs-cTnT (median 11.8 [Q1-3 8.1-18.0] vs. 9.6 [6.7-14.3] ng L-1, P < 0.001) and hs-cTnI (5.8 [3.4-10.8] vs. 4.9 [3.1-8.8] ng L-1, P < 0.001). Adjusting for baseline demographics, comorbidities and medications, men still had significantly higher hs-troponin concentrations than women. C-reactive protein and N-terminal pro-B-type natriuretic peptide concentrations were higher in female patients. Both hs-cTnT and hs-cTnI concentrations were associated with all clinical outcomes similarly in men and women (p-value for interaction >0.05 for all end-points). Conclusion Men have higher hs-troponin concentrations than women in AF. Regardless of sex, hs-troponin concentrations remain similarly associated with adverse clinical outcomes in anticoagulated patients with AF.

Published
2020
Full Text
View/download PDF

35. Adding stress biomarkers to high sensitivity troponin measurements increases precision and efficacy of rapid rule out protocols for NSTEMI

Author

Restan, I, primary, Steiro, O.T, additional, Tjora, H.L, additional, Langoergen, J, additional, Omland, T, additional, Collinson, P, additional, Bjoerneklett, R, additional, Vikenes, K, additional, Strand, H, additional, Skadberg, O, additional, Mjelva, O.R, additional, Larsen, A.I, additional, Bonarjee, V.V.S, additional, and Aakre, K.M, additional

Published
2020
Full Text
View/download PDF

42. Cardiac troponin is associated with cardiac outcomes in men and women with atrial fibrillation, insights from the ARISTOTLE trial

Author

Røsjø, H., primary, Hijazi, Z., additional, Omland, T., additional, Westerbergh, J., additional, Lyngbakken, M.N., additional, Alexander, J.H., additional, Gersh, B.J., additional, Granger, C.B., additional, Hylek, E.M., additional, Lopes, R.D., additional, Siegbahn, A., additional, and Wallentin, L., additional

Published
2020
Full Text
View/download PDF

47. Application of non-HDL cholesterol for population-based cardiovascular risk stratification: results from the Multinational Cardiovascular Risk Consortium

Author

Brunner, F.J. (Fabian J), Waldeyer, C. (Christoph), Ojeda, F. (Francisco), Salomaa, V. (Veikko), Kee, F. (F.), Sans, S. (Susana), Thorand, B. (Barbara), Giampaoli, S. (Simona), Brambilla, P. (Paolo), Tunstall-Pedoe, H. (Hugh), Moitry, M. (Marie), Iacoviello, L. (Licia), Veronesi, G. (Giovanni), Grassi, G. (Guido), Mathiesen, E.B. (Ellisiv), Söderberg, S. (Stefan), Linneberg, A. (Allan), Brenner, H. (Hermann), Amouyel, P. (Philippe), Ferrières, J. (Jean), Tamosiunas, A. (Abdonas), Nikitin, Y., Drygas, W. (Wojciech), Melander, O. (Olle), JöCkel, K.-H. (Karl-Heinz), Leistner, D.M. (David M), Shaw, J.E., Panagiotakos, D.B. (Demosthenes), Simons, L.A. (Leon), Kavousi, M. (Maryam), Vasan, R.S. (Ramachandran Srini), Dullaart, R.P.F. (Robin P.F.), Wannamethee, S.G. (Goya), Riserus, U. (Ulf), Shea, S. (Steven), de Lemos, J.A. (James A), Omland, T. (Torbjørn), Kuulasmaa, K. (Kari), Landmesser, U. (Ulf), Blankenberg, S. (Stefan), Zeller, T. (Tanja), Kontto, J. (Jukka), Männistö, S. (Satu), Metspalu, A. (Andres), Lackner, K.J. (Karl), Wild, P.S. (Philipp), Peters, A. (Annette), Meisinger, C. (Christa), Donfrancesco, C. (Chiara), Signorini, S. (Stefano), Alver, M. (Maris), Woodward, M. (Mark), Gianfagna, F. (Francesco), Costanzo, S. (Simona), Wilsgaard, T. (Tom), Eliasson, M. (Mats), Jorgensen, T. (Torben), Völzke, H. (Henry), Dörr, M. (Marcus), Nauck, M. (Matthias), Schöttker, B. (Ben), Lorenz, T. (Thiess), Makarova, N. (Nataliya), Twerenbold, R. (Raphael), Dallongeville, J., Dobson, A. (Annette), Malyutina, S., Pajak, A. (Andrzej), Engström, G., Bobak, M. (Martin), Schmidt, B. (Börge), Jääskeläinen, T. (Tuija), Niiranen, T. (Teemu), Jousilahti, P. (Pekka), Giles, G. (Graham), Hodge, A. (Allison), Klotsche, J. (Jens), Magliano, D.J., Lyngbakken, M.N. (Magnus N.), Hveem, K. (Kristian), Pitsavos, C. (Christos), Benjamin, E.J. (Emelia J.), Bakker, S.J.L. (Stephan), Whincup, P.H. (Peter), Ikram, M.K. (M. Kamran), Ingelsson, M. (Martin), Koenig, W. (Wolfgang), Brunner, F.J. (Fabian J), Waldeyer, C. (Christoph), Ojeda, F. (Francisco), Salomaa, V. (Veikko), Kee, F. (F.), Sans, S. (Susana), Thorand, B. (Barbara), Giampaoli, S. (Simona), Brambilla, P. (Paolo), Tunstall-Pedoe, H. (Hugh), Moitry, M. (Marie), Iacoviello, L. (Licia), Veronesi, G. (Giovanni), Grassi, G. (Guido), Mathiesen, E.B. (Ellisiv), Söderberg, S. (Stefan), Linneberg, A. (Allan), Brenner, H. (Hermann), Amouyel, P. (Philippe), Ferrières, J. (Jean), Tamosiunas, A. (Abdonas), Nikitin, Y., Drygas, W. (Wojciech), Melander, O. (Olle), JöCkel, K.-H. (Karl-Heinz), Leistner, D.M. (David M), Shaw, J.E., Panagiotakos, D.B. (Demosthenes), Simons, L.A. (Leon), Kavousi, M. (Maryam), Vasan, R.S. (Ramachandran Srini), Dullaart, R.P.F. (Robin P.F.), Wannamethee, S.G. (Goya), Riserus, U. (Ulf), Shea, S. (Steven), de Lemos, J.A. (James A), Omland, T. (Torbjørn), Kuulasmaa, K. (Kari), Landmesser, U. (Ulf), Blankenberg, S. (Stefan), Zeller, T. (Tanja), Kontto, J. (Jukka), Männistö, S. (Satu), Metspalu, A. (Andres), Lackner, K.J. (Karl), Wild, P.S. (Philipp), Peters, A. (Annette), Meisinger, C. (Christa), Donfrancesco, C. (Chiara), Signorini, S. (Stefano), Alver, M. (Maris), Woodward, M. (Mark), Gianfagna, F. (Francesco), Costanzo, S. (Simona), Wilsgaard, T. (Tom), Eliasson, M. (Mats), Jorgensen, T. (Torben), Völzke, H. (Henry), Dörr, M. (Marcus), Nauck, M. (Matthias), Schöttker, B. (Ben), Lorenz, T. (Thiess), Makarova, N. (Nataliya), Twerenbold, R. (Raphael), Dallongeville, J., Dobson, A. (Annette), Malyutina, S., Pajak, A. (Andrzej), Engström, G., Bobak, M. (Martin), Schmidt, B. (Börge), Jääskeläinen, T. (Tuija), Niiranen, T. (Teemu), Jousilahti, P. (Pekka), Giles, G. (Graham), Hodge, A. (Allison), Klotsche, J. (Jens), Magliano, D.J., Lyngbakken, M.N. (Magnus N.), Hveem, K. (Kristian), Pitsavos, C. (Christos), Benjamin, E.J. (Emelia J.), Bakker, S.J.L. (Stephan), Whincup, P.H. (Peter), Ikram, M.K. (M. Kamran), Ingelsson, M. (Martin), and Koenig, W. (Wolfgang)

Abstract

Background: The relevance of blood lipid concentrations to long-term incidence of cardiovascular disease and the relevance of lipid-lowering therapy for cardiovascular disease outcomes is unclear. We investigated the cardiovascular disease risk associated with the full spectrum of bloodstream non-HDL cholesterol concentrations. We also created an easy-to-use tool to estimate the long-term probabilities for a cardiovascular disease event associated with non-HDL cholesterol and modelled its risk reduction by lipid-lowering treatment. Methods: In this risk-evaluation and risk-modelling study, we used Multinational Cardiovascular Risk Consortium data from 19 countries across Europe, Australia, and North America. Individuals without prevalent cardiovascular disease at baseline and with robust available data on cardiovascular disease outcomes were included. The primary composite endpoint of atherosclerotic cardiovascular disease was defined as the occurrence o

Published
2019
Full Text
View/download PDF

48. Application of non-HDL cholesterol for population-based cardiovascular risk stratification: results from the Multinational Cardiovascular Risk Consortium

Author

Brunner, F, Waldeyer, C, Ojeda, F, Salomaa, V, Kee, F, Sans, S, Thorand, B, Giampaoli, S, Brambilla, P, Tunstall-Pedoe, H, Moitry, M, Iacoviello, L, Veronesi, G, Grassi, G, Mathiesen, E, Söderberg, S, Linneberg, A, Brenner, H, Amouyel, P, Ferrières, J, Tamosiunas, A, Nikitin, Y, Drygas, W, Melander, O, Jöckel, K, Leistner, D, Shaw, J, Panagiotakos, D, Simons, L, Kavousi, M, Vasan, R, Dullaart, R, Wannamethee, S, Risérus, U, Shea, S, de Lemos, J, Omland, T, Kuulasmaa, K, Landmesser, U, Blankenberg, S, Zeller, T, Kontto, J, Männistö, S, Metspalu, A, Lackner, K, Wild, P, Peters, A, Meisinger, C, Donfrancesco, C, Signorini, S, Alver, M, Woodward, M, Gianfagna, F, Costanzo, S, Wilsgaard, T, Eliasson, M, Jørgensen, T, Völzke, H, Dörr, M, Nauck, M, Schöttker, B, Lorenz, T, Makarova, N, Twerenbold, R, Dallongeville, J, Dobson, A, Malyutina, S, Pajak, A, Engström, G, Bobak, M, Schmidt, B, Jääskeläinen, T, Niiranen, T, Jousilahti, P, Giles, G, Hodge, A, Klotsche, J, Magliano, D, Lyngbakken, M, Hveem, K, Pitsavos, C, Benjamin, E, Bakker, S, Whincup, P, Ikram, M, Ingelsson, M, Koenig, W, Brunner, Fabian J, Waldeyer, Christoph, Ojeda, Francisco, Salomaa, Veikko, Kee, Frank, Sans, Susana, Thorand, Barbara, Giampaoli, Simona, Brambilla, Paolo, Tunstall-Pedoe, Hugh, Moitry, Marie, Iacoviello, Licia, Veronesi, Giovanni, Grassi, Guido, Mathiesen, Ellisiv B, Söderberg, Stefan, Linneberg, Allan, Brenner, Hermann, Amouyel, Philippe, Ferrières, Jean, Tamosiunas, Abdonas, Nikitin, Yuriy P, Drygas, Wojciech, Melander, Olle, Jöckel, Karl-Heinz, Leistner, David M, Shaw, Jonathan E, Panagiotakos, Demosthenes B, Simons, Leon A, Kavousi, Maryam, Vasan, Ramachandran S, Dullaart, Robin P F, Wannamethee, S Goya, Risérus, Ulf, Shea, Steven, de Lemos, James A, Omland, Torbjørn, Kuulasmaa, Kari, Landmesser, Ulf, Blankenberg, Stefan, Zeller, Tanja, Kontto, Jukka, Männistö, Satu, Metspalu, Andres, Lackner, Karl, Wild, Philipp, Peters, Annette, Meisinger, Christa, Donfrancesco, Chiara, Signorini, Stefano G., Alver, Maris, Woodward, Mark, Gianfagna, Francesco, Costanzo, Simona, Wilsgaard, Tom, Eliasson, Mats, Jørgensen, Torben, Völzke, Henry, Dörr, Marcus, Nauck, Matthias, Schöttker, Ben, Lorenz, Thiess, Makarova, Nataliya, Twerenbold, Raphael, Dallongeville, Jean, Dobson, Annette, Malyutina, Sofia, Pajak, Andrzej, Engström, Gunnar, Bobak, Martin, Schmidt, Börge, Jääskeläinen, Tuija, Niiranen, Teemu, Jousilahti, Pekka, Giles, Graham, Hodge, Allison, Klotsche, Jens, Magliano, Dianna J., Lyngbakken, Magnus N., Hveem, Kristian, Pitsavos, Christos, Benjamin, Emelia J., Bakker, Stephan J. L., Whincup, Peter, Ikram, M. Kamran, Ingelsson, Martin, Koenig, Wolfgang, Brunner, F, Waldeyer, C, Ojeda, F, Salomaa, V, Kee, F, Sans, S, Thorand, B, Giampaoli, S, Brambilla, P, Tunstall-Pedoe, H, Moitry, M, Iacoviello, L, Veronesi, G, Grassi, G, Mathiesen, E, Söderberg, S, Linneberg, A, Brenner, H, Amouyel, P, Ferrières, J, Tamosiunas, A, Nikitin, Y, Drygas, W, Melander, O, Jöckel, K, Leistner, D, Shaw, J, Panagiotakos, D, Simons, L, Kavousi, M, Vasan, R, Dullaart, R, Wannamethee, S, Risérus, U, Shea, S, de Lemos, J, Omland, T, Kuulasmaa, K, Landmesser, U, Blankenberg, S, Zeller, T, Kontto, J, Männistö, S, Metspalu, A, Lackner, K, Wild, P, Peters, A, Meisinger, C, Donfrancesco, C, Signorini, S, Alver, M, Woodward, M, Gianfagna, F, Costanzo, S, Wilsgaard, T, Eliasson, M, Jørgensen, T, Völzke, H, Dörr, M, Nauck, M, Schöttker, B, Lorenz, T, Makarova, N, Twerenbold, R, Dallongeville, J, Dobson, A, Malyutina, S, Pajak, A, Engström, G, Bobak, M, Schmidt, B, Jääskeläinen, T, Niiranen, T, Jousilahti, P, Giles, G, Hodge, A, Klotsche, J, Magliano, D, Lyngbakken, M, Hveem, K, Pitsavos, C, Benjamin, E, Bakker, S, Whincup, P, Ikram, M, Ingelsson, M, Koenig, W, Brunner, Fabian J, Waldeyer, Christoph, Ojeda, Francisco, Salomaa, Veikko, Kee, Frank, Sans, Susana, Thorand, Barbara, Giampaoli, Simona, Brambilla, Paolo, Tunstall-Pedoe, Hugh, Moitry, Marie, Iacoviello, Licia, Veronesi, Giovanni, Grassi, Guido, Mathiesen, Ellisiv B, Söderberg, Stefan, Linneberg, Allan, Brenner, Hermann, Amouyel, Philippe, Ferrières, Jean, Tamosiunas, Abdonas, Nikitin, Yuriy P, Drygas, Wojciech, Melander, Olle, Jöckel, Karl-Heinz, Leistner, David M, Shaw, Jonathan E, Panagiotakos, Demosthenes B, Simons, Leon A, Kavousi, Maryam, Vasan, Ramachandran S, Dullaart, Robin P F, Wannamethee, S Goya, Risérus, Ulf, Shea, Steven, de Lemos, James A, Omland, Torbjørn, Kuulasmaa, Kari, Landmesser, Ulf, Blankenberg, Stefan, Zeller, Tanja, Kontto, Jukka, Männistö, Satu, Metspalu, Andres, Lackner, Karl, Wild, Philipp, Peters, Annette, Meisinger, Christa, Donfrancesco, Chiara, Signorini, Stefano G., Alver, Maris, Woodward, Mark, Gianfagna, Francesco, Costanzo, Simona, Wilsgaard, Tom, Eliasson, Mats, Jørgensen, Torben, Völzke, Henry, Dörr, Marcus, Nauck, Matthias, Schöttker, Ben, Lorenz, Thiess, Makarova, Nataliya, Twerenbold, Raphael, Dallongeville, Jean, Dobson, Annette, Malyutina, Sofia, Pajak, Andrzej, Engström, Gunnar, Bobak, Martin, Schmidt, Börge, Jääskeläinen, Tuija, Niiranen, Teemu, Jousilahti, Pekka, Giles, Graham, Hodge, Allison, Klotsche, Jens, Magliano, Dianna J., Lyngbakken, Magnus N., Hveem, Kristian, Pitsavos, Christos, Benjamin, Emelia J., Bakker, Stephan J. L., Whincup, Peter, Ikram, M. Kamran, Ingelsson, Martin, and Koenig, Wolfgang

Abstract

Background: The relevance of blood lipid concentrations to long-term incidence of cardiovascular disease and the relevance of lipid-lowering therapy for cardiovascular disease outcomes is unclear. We investigated the cardiovascular disease risk associated with the full spectrum of bloodstream non-HDL cholesterol concentrations. We also created an easy-to-use tool to estimate the long-term probabilities for a cardiovascular disease event associated with non-HDL cholesterol and modelled its risk reduction by lipid-lowering treatment. Methods: In this risk-evaluation and risk-modelling study, we used Multinational Cardiovascular Risk Consortium data from 19 countries across Europe, Australia, and North America. Individuals without prevalent cardiovascular disease at baseline and with robust available data on cardiovascular disease outcomes were included. The primary composite endpoint of atherosclerotic cardiovascular disease was defined as the occurrence of the coronary heart disease event or ischaemic stroke. Sex-specific multivariable analyses were computed using non-HDL cholesterol categories according to the European guideline thresholds, adjusted for age, sex, cohort, and classical modifiable cardiovascular risk factors. In a derivation and validation design, we created a tool to estimate the probabilities of a cardiovascular disease event by the age of 75 years, dependent on age, sex, and risk factors, and the associated modelled risk reduction, assuming a 50% reduction of non-HDL cholesterol. Findings: Of the 524 444 individuals in the 44 cohorts in the Consortium database, we identified 398 846 individuals belonging to 38 cohorts (184 055 [48·7%] women; median age 51·0 years [IQR 40·7–59·7]). 199 415 individuals were included in the derivation cohort (91 786 [48·4%] women) and 199 431 (92 269 [49·1%] women) in the validation cohort. During a maximum follow-up of 43·6 years (median 13·5 years, IQR 7·0–20·1), 54 542 cardiovascular endpoints occurred. Incidence c

Published
2019

Catalog

Books, media, physical & digital resources
See catalog results