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2. The challenge of choosing in cardiovascular risk management

Author

Hoogeveen, R. M., Hanssen, N. M. J., Brouwer, J. R., Mosterd, A., Tack, C. J., Kroon, A. A., de Borst, G. J., ten Berg, J., van Trier, T., van Lennep, J. Roeters, Liem, A., Serné, E., Visseren, F. L. J., Cornel, J. H., Peters, R. J. G., Jukema, J. W., and Stroes, E. S. G.

Published
2022
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3. Diet in secondary prevention: the effect of dietary patterns on cardiovascular risk factors in patients with cardiovascular disease: a systematic review and network meta-analysis

Author

Interne Geneeskunde Vasculaire, Circulatory Health, Unit Opleiding Aios, Bonekamp, N. E., Cruijsen, E., Geleijnse, J. M., Winkels, R. M., Visseren, F. L.J., Morris, P. B., Koopal, C., Interne Geneeskunde Vasculaire, Circulatory Health, Unit Opleiding Aios, Bonekamp, N. E., Cruijsen, E., Geleijnse, J. M., Winkels, R. M., Visseren, F. L.J., Morris, P. B., and Koopal, C.

Published
2024

6. Potential lifetime benefit of applying two-step ESC prevention strategy

Author

Van Trier, T, primary, Snaterse, M, additional, Hageman, S H J, additional, Ter Hoeve, N, additional, Sunamura, M, additional, Deckers, J, additional, Martens, F M A C, additional, Visseren, F L J, additional, Dorresteijn, J A N, additional, Scholte Op Reimer, W J M, additional, Peters, R J G, additional, and Jorstad, H T, additional

Published
2023
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11. Lipid management in patients with high and very high cardiovascular risk: Data from routine clinical practice in Europe (SANTORINI study)

Author

Ray, K., primary, Aguiar, C., additional, Arca, M., additional, Connolly, D., additional, Eriksson, M., additional, Ferrieres, J., additional, Laufs, U., additional, Mostaza, J., additional, Nanchen, D., additional, Blackburn, C., additional, Soronen, J., additional, Lamparter, M., additional, Rietzschel, E., additional, Strandberg, T., additional, Toplak, H., additional, Visseren, F., additional, and Catapano, A., additional

Published
2023
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15. LDL cholesterol targets rarely achieved in familial hypercholesterolemia patients:A sex and gender-specific analysis

Author

Schreuder, M. M., Hamkour, S., Siegers, K. E., Holven, K. B., Johansen, A. K., van de Ree, M. A., Imholz, B., Boersma, E., Louters, L., Bogsrud, M. P., Retterstøl, K., Visseren, F. L.J., Roeters van Lennep, J. E., Koopal, C., Schreuder, M. M., Hamkour, S., Siegers, K. E., Holven, K. B., Johansen, A. K., van de Ree, M. A., Imholz, B., Boersma, E., Louters, L., Bogsrud, M. P., Retterstøl, K., Visseren, F. L.J., Roeters van Lennep, J. E., and Koopal, C.

Abstract

Background and aims: Despite lipid lowering therapy (LLT), reaching LDL-C targets in patients with familial hypercholesterolemia (FH) remains challenging. Our aim was to determine attainment of LDL-C target levels and reasons for not reaching these in female and male FH patients. Methods: We performed a cross-sectional study of heterozygous FH patients in five hospitals in the Netherlands and Norway. Clinical characteristics and information about LLT, lipid levels and reasons for not being on LDL-C treatment target were retrospectively collected from electronic medical records. Results: We studied 3178 FH patients (53.9% women), median age 48.0 (IQR 34.0–59.9) years. Median LDL-C before treatment and on-treatment was higher in women compared to men (6.2 (IQR 5.1–7.3) and 6.0 (IQR 4.9–7.2) mmol/l (p=0.005) and 3.0 (IQR 2.4–3.8) and 2.8 (IQR 2.3–3.5) mmol/L (p<0.001)), respectively. A minority of women (26.9%) and men (28.9%) reached LDL-C target. In patients with CVD, 17.2% of women and 25.8% of men reached LDL-C target. Women received less often high-intensity statins and ezetimibe. Most common reported reasons for not achieving the LDL-C target were insufficient effect of maximum LLT (women 17.3%, men 24.3%) and side effects (women 15.2%, men 8.6%). Conclusions: In routine practice, only a minority of women and men with FH achieved their LDL-C treatment target. Extra efforts have to be made to provide FH patients with reliable information on the safety of statins and their long-term effects on CVD risk reduction. If statin treatment is insufficient, alternative lipid lowering therapies such as ezetimibe or PCSK9-inhibitors should be considered.

Published
2023

16. LDL cholesterol targets rarely achieved in familial hypercholesterolemia patients: A sex and gender-specific analysis

Author

Lab Reumatologie/Klinische Immunologie, Infection & Immunity, Interne Geneeskunde Vasculaire, Circulatory Health, Unit Opleiding Aios, Schreuder, M. M., Hamkour, S., Siegers, K. E., Holven, K. B., Johansen, A. K., van de Ree, M. A., Imholz, B., Boersma, E., Louters, L., Bogsrud, M. P., Retterstøl, K., Visseren, F. L.J., Roeters van Lennep, J. E., Koopal, C., Lab Reumatologie/Klinische Immunologie, Infection & Immunity, Interne Geneeskunde Vasculaire, Circulatory Health, Unit Opleiding Aios, Schreuder, M. M., Hamkour, S., Siegers, K. E., Holven, K. B., Johansen, A. K., van de Ree, M. A., Imholz, B., Boersma, E., Louters, L., Bogsrud, M. P., Retterstøl, K., Visseren, F. L.J., Roeters van Lennep, J. E., and Koopal, C.

Published
2023

17. Effect of dietary patterns on cardiovascular risk factors in people with type 2 diabetes. A systematic review and network meta-analysis

Author

Interne Geneeskunde Vasculaire, Circulatory Health, Unit Opleiding Aios, Bonekamp, N. E., van Damme, I., Geleijnse, J. M., Winkels, R. M., Visseren, F. L.J., Morris, P. B., Koopal, C., Interne Geneeskunde Vasculaire, Circulatory Health, Unit Opleiding Aios, Bonekamp, N. E., van Damme, I., Geleijnse, J. M., Winkels, R. M., Visseren, F. L.J., Morris, P. B., and Koopal, C.

Published
2023

18. Estimation of recurrent atherosclerotic cardiovascular event risk in patients with established cardiovascular disease

Author

Hageman, Steven H. J., McKay, Ailsa J., Ueda, Peter, Gunn, Laura H., Jernberg, Tomas, Hagström, Emil, Bhatt, Deepak L., Steg, Ph. Gabriel, Läll, Kristi, Mägi, Reedik, Gynnild, Mari Nordbø, Ellekjær, Hanne, Saltvedt, Ingvild, Tuñón, José, Mahíllo, Ignacio, Aceña, Álvaro, Kaminski, Karol, Chlabicz, Malgorzata, Sawicka, Emilia, Tillman, Taavi, McEvoy, John W., di Angelantonio, Emanuele, Graham, Ian, de Bacquer, Dirk, Ray, Kausik K., Dorresteijn, Jannick A. N., Visseren, Frank L. J., Asselbergs, F. W., Nathoe, H. M., de Borst, G. J., Bots, M. L., Geerlings, M. I., Emmelot, M. H., de Jong, P. A., Leiner, T., Lely, A. T., van der Kaaij, N. P., Kappelle, L. J., Ruigrok, Y. M., Verhaar, M. C., Visseren, F. L. J., Westerink, J., Halle, Martin, Timmis, Adam D., Lettino, Maddalena, Vardas, Panos E., McEvoy, John William, Graham, Ian M., and Academic Medical Center

Subjects
Cardiac & Cardiovascular Systems, PREDICTION, Myocardial Infarction, Residual risk, Risk Assessment, ARTERIAL-DISEASE, Recurrent risk, Risk Factors, Medicine and Health Sciences, Humans, Cardiac and Cardiovascular Systems, 1102 Cardiorespiratory Medicine and Haematology, METAANALYSIS, Science & Technology, Kardiologi, Secondary prevention, 1103 Clinical Sciences, ASSOCIATION, Atherosclerosis, Established ASCVD, COMPETING RISKS, PREVENTION, Risk prediction, Stroke, ASPIRIN, Cardiovascular System & Hematology, Cardiovascular Diseases, CLINICAL-PRACTICE, Personalized treatment, Cardiovascular System & Cardiology, Cardiology and Cardiovascular Medicine, OUTPATIENTS, Life Sciences & Biomedicine, Algorithms, Biomarkers, TASK-FORCE
Abstract

Aims The 10-year risk of recurrent atherosclerotic cardiovascular disease (ASCVD) events in patients with established ASCVD can be estimated with the Secondary Manifestations of ARTerial disease (SMART) risk score, and may help refine clinical management. To broaden generalizability across regions, we updated the existing tool (SMART2 risk score) and recalibrated it with regional incidence rates and assessed its performance in external populations. Methods and results Individuals with coronary artery disease, cerebrovascular disease, peripheral artery disease, or abdominal aortic aneurysms were included from the Utrecht Cardiovascular Cohort-SMART cohort [n = 8355; 1706 ASCVD events during a median follow-up of 8.2 years (interquartile range 4.2-12.5)] to derive a 10-year risk prediction model for recurrent ASCVD events (non-fatal myocardial infarction, non-fatal stroke, or cardiovascular mortality) using a Fine and Gray competing risk-adjusted model. The model was recalibrated to four regions across Europe, and to Asia (excluding Japan), Japan, Australia, North America, and Latin America using contemporary cohort data from each target region. External validation used data from seven cohorts [Clinical Practice Research Datalink, SWEDEHEART, the international REduction of Atherothrombosis for Continued Health (REACH) Registry, Estonian Biobank, Spanish Biomarkers in Acute Coronary Syndrome and Biomarkers in Acute Myocardial Infarction (BACS/BAMI), the Norwegian COgnitive Impairment After STroke, and Bialystok PLUS/Polaspire] and included 369 044 individuals with established ASCVD of whom 62 807 experienced an ASCVD event. C-statistics ranged from 0.605 [95% confidence interval (CI) 0.547-0.664] in BACS/BAMI to 0.772 (95% CI 0.659-0.886) in REACH Europe high-risk region. The clinical utility of the model was demonstrated across a range of clinically relevant treatment thresholds for intensified treatment options. Conclusion The SMART2 risk score provides an updated, validated tool for the prediction of recurrent ASCVD events in patients with established ASCVD across European and non-European populations. The use of this tool could allow for a more personalized approach to secondary prevention based upon quantitative rather than qualitative estimates of residual risk. Key objective To improve upon prediction of 10-year residual atherosclerotic cardiovascular disease (ASCVD) event risk in individuals with established ASCVD, by taking into account competing risks and geographical differences in ASCVD incidence. Key findings Derivation in 8355 individuals with established ASCVD from the Utrecht Cardiovascular Cohort-Secondary Manifestations of ARTerial disease (SMART) cohort. C-statistics ranged from 0.605 [95% confidence interval (CI) 0.547-0.664] to 0.772 (95% CI 0.659-0.886). Clinical utility was demonstrated across a range of treatment thresholds relevant to therapy intensification. Take-home messages The SMART2 risk score can be used to estimate 10-year residual risk of fatal and non-fatal ASCVD in individuals with established ASCVD. Adapted to the CVD incidence in several global regions. Facilitates shared decision-making on Step 2 prevention goals as recommended by the 2021 ESC Guidelines on cardiovascular prevention.

Published
2022

21. Prediction of lifetime cardiovascular risk and individual lifetime treatment benefit in four European risk regions: geographic recalibration of the LIFE-CVD model

Author

Hageman, S H J, primary, Lu, W, additional, Kaptoge, S, additional, Lall, K, additional, Bobak, M, additional, Pikhart, H, additional, Kubinova, R, additional, Pajak, A, additional, Tamosiunas, A, additional, Stang, A, additional, Schmidt, B, additional, Schramm, S, additional, Di Angelantonio, E, additional, Visseren, F L J, additional, and Dorresteijn, J A N, additional

Published
2022
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23. Effect of evolocumab versus placebo added to standard lipid-lowering therapy on fasting and post fat load lipids and lipoproteins in familial dysbetalipoproteinemia

Author

Heidemann, B E, primary, Koopal, C, additional, Roeters Van Lennep, J E, additional, Stroes, E S, additional, Riksen, N P, additional, Mulder, M T, additional, Van Der Zee-Van Vark, L C, additional, Blackhurst, D M, additional, Marais, A D, additional, and Visseren, F L J, additional

Published
2022
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25. The value of additional risk factors for improving 10-year cardiovascular risk prediction in apparently healthy people

Author

Hageman, S H J, primary, Pennells, L, additional, Pajouheshnia, R, additional, Tillmann, T, additional, Blaha, M J, additional, McClelland, R L, additional, Matsushita, K, additional, Nambi, V, additional, Van Der Schouw, Y T, additional, Verschuren, W M M, additional, Lehmann, N, additional, Jockel, K H, additional, Di Angelantonio, E, additional, Visseren, F L J, additional, and Dorresteijn, J A N, additional

Published
2022
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26. Individual lifetime benefit from low-dose colchicine in chronic coronary artery disease patients

Author

Burger, P, primary, Dorresteijn, J, additional, Fiolet, A, additional, Koudstaal, S, additional, Eikelboom, J, additional, Nidorf, S, additional, Thompson, P, additional, Cornel, J, additional, Budgeon, C, additional, Steg, P, additional, Cramer, M, additional, Teraa, M, additional, Bhatt, D, additional, Visseren, F, additional, and Mosterd, A, additional

Published
2022
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29. 2021 ESC Guidelines on cardiovascular disease prevention in clinical practice

Author

Visseren, F, Mach, F, Smulders, Y, Carballo, D, Koskinas, K, Back, M, Benetos, A, Biffi, A, Boavida, J, Capodanno, D, Cosyns, B, Crawford, C, Davos, C, Desormais, I, Di Angelantonio, E, Duran, O, Halvorsen, S, Richard Hobbs, F, Hollander, M, Jankowska, E, Michal, M, Sacco, S, Sattar, N, Tokgozoglu, L, Tonstad, S, Tsioufis, K, van Dis, I, van Gelder, I, Wanner, C, Williams, B, De Backer, G, Regitz-Zagrosek, V, Aamodt, A, Abdelhamid, M, Aboyans, V, Albus, C, Asteggiano, R, Borger, M, Brotons, C, Celutkiene, J, Cifkova, R, Cikes, M, Cosentino, F, Dagres, N, De Backer, T, De Bacquer, D, Delgado, V, Ruijter, H, Dendale, P, Drexel, H, Falk, V, Fauchier, L, Ference, B, Ferrieres, J, Ferrini, M, Fisher, M, Fliser, D, Fras, Z, Gaita, D, Giampaoli, S, Gielen, S, Graham, I, Jennings, C, Jorgensen, T, Kautzky-Willer, A, Kavousi, M, Koenig, W, Konradi, A, Kotecha, D, Landmesser, U, Lettino, M, Lewis, B, Linhart, A, Lochen, M, Makrilakis, K, Mancia, G, Marques-Vidal, P, Mcevoy, J, Mcgreavy, P, Merkely, B, Neubeck, L, Nielsen, J, Perk, J, Petersen, S, Petronio, A, Piepoli, M, Pogosova, N, Prescott, E, Ray, K, Reiner, Z, Richter, D, Ryden, L, Shlyakhto, E, Sitges, M, Sousa-Uva, M, Sudano, I, Tiberi, M, Touyz, R, Ungar, A, Monique Verschuren, W, Wiklund, O, Wood, D, Zamorano, J, Visseren F., Mach F., Smulders Y. M., Carballo D., Koskinas K. C., Back M., Benetos A., Biffi A., Boavida J. -M., Capodanno D., Cosyns B., Crawford C. A., Davos C. H., Desormais I., Di Angelantonio E., Duran O. H. F., Halvorsen S., Richard Hobbs F. D., Hollander M., Jankowska E. A., Michal M., Sacco S., Sattar N., Tokgozoglu L., Tonstad S., Tsioufis K. P., van Dis I., van Gelder I. C., Wanner C., Williams B., De Backer G., Regitz-Zagrosek V., Aamodt A. H., Abdelhamid M., Aboyans V., Albus C., Asteggiano R., Borger M. A., Brotons C., Celutkiene J., Cifkova R., Cikes M., Cosentino F., Dagres N., De Backer T., De Bacquer D., Delgado V., Ruijter H. D., Dendale P., Drexel H., Falk V., Fauchier L., Ference B. A., Ferrieres J., Ferrini M., Fisher M., Fliser D., Fras Z., Gaita D., Giampaoli S., Gielen S., Graham I., Jennings C., Jorgensen T., Kautzky-Willer A., Kavousi M., Koenig W., Konradi A., Kotecha D., Landmesser U., Lettino M., Lewis B. S., Linhart A., Lochen M. -L., Makrilakis K., Mancia G., Marques-Vidal P., McEvoy J. W., McGreavy P., Merkely B., Neubeck L., Nielsen J. C., Perk J., Petersen S. E., Petronio A. S., Piepoli M., Pogosova N. G., Prescott E. I. B., Ray K. K., Reiner Z., Richter D. J., Ryden L., Shlyakhto E., Sitges M., Sousa-Uva M., Sudano I., Tiberi M., Touyz R. M., Ungar A., Monique Verschuren W. M., Wiklund O., Wood D., Zamorano J. L., Visseren, F, Mach, F, Smulders, Y, Carballo, D, Koskinas, K, Back, M, Benetos, A, Biffi, A, Boavida, J, Capodanno, D, Cosyns, B, Crawford, C, Davos, C, Desormais, I, Di Angelantonio, E, Duran, O, Halvorsen, S, Richard Hobbs, F, Hollander, M, Jankowska, E, Michal, M, Sacco, S, Sattar, N, Tokgozoglu, L, Tonstad, S, Tsioufis, K, van Dis, I, van Gelder, I, Wanner, C, Williams, B, De Backer, G, Regitz-Zagrosek, V, Aamodt, A, Abdelhamid, M, Aboyans, V, Albus, C, Asteggiano, R, Borger, M, Brotons, C, Celutkiene, J, Cifkova, R, Cikes, M, Cosentino, F, Dagres, N, De Backer, T, De Bacquer, D, Delgado, V, Ruijter, H, Dendale, P, Drexel, H, Falk, V, Fauchier, L, Ference, B, Ferrieres, J, Ferrini, M, Fisher, M, Fliser, D, Fras, Z, Gaita, D, Giampaoli, S, Gielen, S, Graham, I, Jennings, C, Jorgensen, T, Kautzky-Willer, A, Kavousi, M, Koenig, W, Konradi, A, Kotecha, D, Landmesser, U, Lettino, M, Lewis, B, Linhart, A, Lochen, M, Makrilakis, K, Mancia, G, Marques-Vidal, P, Mcevoy, J, Mcgreavy, P, Merkely, B, Neubeck, L, Nielsen, J, Perk, J, Petersen, S, Petronio, A, Piepoli, M, Pogosova, N, Prescott, E, Ray, K, Reiner, Z, Richter, D, Ryden, L, Shlyakhto, E, Sitges, M, Sousa-Uva, M, Sudano, I, Tiberi, M, Touyz, R, Ungar, A, Monique Verschuren, W, Wiklund, O, Wood, D, Zamorano, J, Visseren F., Mach F., Smulders Y. M., Carballo D., Koskinas K. C., Back M., Benetos A., Biffi A., Boavida J. -M., Capodanno D., Cosyns B., Crawford C. A., Davos C. H., Desormais I., Di Angelantonio E., Duran O. H. F., Halvorsen S., Richard Hobbs F. D., Hollander M., Jankowska E. A., Michal M., Sacco S., Sattar N., Tokgozoglu L., Tonstad S., Tsioufis K. P., van Dis I., van Gelder I. C., Wanner C., Williams B., De Backer G., Regitz-Zagrosek V., Aamodt A. H., Abdelhamid M., Aboyans V., Albus C., Asteggiano R., Borger M. A., Brotons C., Celutkiene J., Cifkova R., Cikes M., Cosentino F., Dagres N., De Backer T., De Bacquer D., Delgado V., Ruijter H. D., Dendale P., Drexel H., Falk V., Fauchier L., Ference B. A., Ferrieres J., Ferrini M., Fisher M., Fliser D., Fras Z., Gaita D., Giampaoli S., Gielen S., Graham I., Jennings C., Jorgensen T., Kautzky-Willer A., Kavousi M., Koenig W., Konradi A., Kotecha D., Landmesser U., Lettino M., Lewis B. S., Linhart A., Lochen M. -L., Makrilakis K., Mancia G., Marques-Vidal P., McEvoy J. W., McGreavy P., Merkely B., Neubeck L., Nielsen J. C., Perk J., Petersen S. E., Petronio A. S., Piepoli M., Pogosova N. G., Prescott E. I. B., Ray K. K., Reiner Z., Richter D. J., Ryden L., Shlyakhto E., Sitges M., Sousa-Uva M., Sudano I., Tiberi M., Touyz R. M., Ungar A., Monique Verschuren W. M., Wiklund O., Wood D., and Zamorano J. L.

Published
2021

33. Microinfarcts in the Deep Gray Matter on 7T MRI: Risk Factors, MRI Correlates, and Relation to Cognitive Functioning-The SMART-MR Study

Author

Ghaznawi, R., Zwartbol, M. H. T., de Bresser, J., Kuijf, H. J., Vincken, K. L., Rissanen, I., Hendrikse, J., Geerlings, Mirjam I., Asselbergs, F. W., Nathoe, H. M., de Borst, G. J., Bots, M. L., Geerlings, M. I., Emmelot, M. H., de Jong, P. A., Leiner, T., Lely, A. T., van der Kaaij, N. P., Kappelle, L. J., Ruigrok, Y., Verhaar, M. C., Visseren, F. L. J., Westerink, J., General practice, APH - Aging & Later Life, APH - Personalized Medicine, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Amsterdam Neuroscience - Neurodegeneration, and ACS - Heart failure & arrhythmias

Subjects
Cognition, Risk Factors, Adult Brain, Humans, Radiology, Nuclear Medicine and imaging, Neurology (clinical), Gray Matter, Carotid Intima-Media Thickness, Magnetic Resonance Imaging, Biomarkers, Aged
Abstract

BACKGROUND AND PURPOSE: The clinical relevance of cortical microinfarcts has recently been established; however, studies on microinfarcts in the deep gray matter are lacking. We examined the risk factors and MR imaging correlates of microinfarcts in the deep gray matter on 7T MR imaging and their relation to cognitive functioning.\MATERIALS AND METHODS: Within the Second Manifestations of ARTerial disease?Magnetic Resonance (SMART-MR) study, 213 patients (mean age, 68 [SD, 8]?years) had a risk-factor assessment, 7T and 1.5T brain MR imaging, and a cognitive examination. Microinfarcts on 7T MR imaging were defined as lesions of < 5 mm. Regression models were used to examine the age-adjusted associations among risk factors, MR imaging markers, and microinfarcts. Cognitive function was summarized as composite and domain-specific z scores. RESULTS: A total of 47 microinfarcts were found in 28 patients (13%), most commonly in the thalamus. Older age, history of stroke, hypertension, and intima-media thickness were associated with microinfarcts. On 1.5T MR imaging, cerebellar infarcts (relative risk = 2.75; 95% CI, 1.4?5.33) and lacunes in the white (relative risk = 3.28; 95% CI, 3.28?6.04) and deep gray matter (relative risk?= 3.06; 95% CI, 1.75?5.35) were associated with microinfarcts, and on 7T MR imaging cortical microinfarcts (relative risk = 2.33; 95% CI, 1.32?4.13). Microinfarcts were also associated with poorer global cognitive functioning (mean difference in the global z score between patients with multiple microinfarcts versus none = ?0.97; 95% CI, ?1.66 to ?0.28, P = .006) and across all cognitive domains. CONCLUSIONS: Microinfarcts in the deep gray matter on 7T MR imaging were associated with worse cognitive functioning and risk factors and MR imaging markers of small-vessel and large-vessel disease. Our findings suggest that microinfarcts in the deep gray matter may represent a novel imaging marker of vascular brain injury.

Published
2022

34. 2021 ESC Guidelines on cardiovascular disease prevention in clinical practice

Author

Visseren, F, Mach, F, Smulders, Y, Carballo, D, Koskinas, K, Bäck, M, Benetos, A, Biffi, A, Boavida, J, Capodanno, D, Cosyns, B, Crawford, C, Davos, C, Desormais, I, Di Angelantonio, E, Franco, O, Halvorsen, S, Hobbs, F, Hollander, M, Jankowska, E, Michal, M, Sacco, S, Sattar, N, Tokgozoglu, L, Tonstad, S, Tsioufis, K, van Dis, I, van Gelder, I, Wanner, C, Williams, B, De Backer, G, Regitz-Zagrosek, V, Aamodt, A, Abdelhamid, M, Aboyans, V, Albus, C, Asteggiano, R, Borger, M, Brotons, C, Celutkiene, J, Cifkova, R, Cikes, M, Cosentino, F, Dagres, N, De Backer, T, De Bacquer, D, Delgado, V, Den Ruijter, H, Dendale, P, Drexel, H, Falk, V, Fauchier, L, Ference, B, Ferrières, J, Ferrini, M, Fisher, M, Fliser, D, Fras, Z, Gaita, D, Giampaoli, S, Gielen, S, Graham, I, Jennings, C, Jorgensen, T, Kautzky-Willer, A, Kavousi, M, Koenig, W, Konradi, A, Kotecha, D, Landmesser, U, Lettino, M, Lewis, B, Linhart, A, Lochen, M, Makrilakis, K, Mancia, G, Marques-Vidal, P, Mcevoy, J, Mcgreavy, P, Merkely, B, Neubeck, L, Nielsen, J, Perk, J, Petersen, S, Petronio, A, Piepoli, M, Pogosova, N, Prescott, E, Ray, K, Reiner, Z, Richter, D, Rydén, L, Shlyakhto, E, Sitges, M, Sousa-Uva, M, Sudano, I, Tiberi, M, Touyz, R, Ungar, A, Verschuren, W, Wiklund, O, Wood, D, Zamorano, J, Visseren, FLJ, Smulders, YM, Koskinas, KC, Boavida, JM, Davos, CH, Franco, OH, Hobbs, FDR, Jankowska, EA, Tsioufis, KP, van Gelder, IC, Aamodt, AH, Borger, MA, Ference, BA, Lewis, BS, Lochen, ML, McEvoy, JW, McGreavy, P, Nielsen, JC, Petersen, SE, Petronio, AS, Pogosova, NG, Prescott, EIB, Ray, KK, Richter, DJ, Touyz, RM, Verschuren, WMM, Zamorano, JL, Visseren, F, Mach, F, Smulders, Y, Carballo, D, Koskinas, K, Bäck, M, Benetos, A, Biffi, A, Boavida, J, Capodanno, D, Cosyns, B, Crawford, C, Davos, C, Desormais, I, Di Angelantonio, E, Franco, O, Halvorsen, S, Hobbs, F, Hollander, M, Jankowska, E, Michal, M, Sacco, S, Sattar, N, Tokgozoglu, L, Tonstad, S, Tsioufis, K, van Dis, I, van Gelder, I, Wanner, C, Williams, B, De Backer, G, Regitz-Zagrosek, V, Aamodt, A, Abdelhamid, M, Aboyans, V, Albus, C, Asteggiano, R, Borger, M, Brotons, C, Celutkiene, J, Cifkova, R, Cikes, M, Cosentino, F, Dagres, N, De Backer, T, De Bacquer, D, Delgado, V, Den Ruijter, H, Dendale, P, Drexel, H, Falk, V, Fauchier, L, Ference, B, Ferrières, J, Ferrini, M, Fisher, M, Fliser, D, Fras, Z, Gaita, D, Giampaoli, S, Gielen, S, Graham, I, Jennings, C, Jorgensen, T, Kautzky-Willer, A, Kavousi, M, Koenig, W, Konradi, A, Kotecha, D, Landmesser, U, Lettino, M, Lewis, B, Linhart, A, Lochen, M, Makrilakis, K, Mancia, G, Marques-Vidal, P, Mcevoy, J, Mcgreavy, P, Merkely, B, Neubeck, L, Nielsen, J, Perk, J, Petersen, S, Petronio, A, Piepoli, M, Pogosova, N, Prescott, E, Ray, K, Reiner, Z, Richter, D, Rydén, L, Shlyakhto, E, Sitges, M, Sousa-Uva, M, Sudano, I, Tiberi, M, Touyz, R, Ungar, A, Verschuren, W, Wiklund, O, Wood, D, Zamorano, J, Visseren, FLJ, Smulders, YM, Koskinas, KC, Boavida, JM, Davos, CH, Franco, OH, Hobbs, FDR, Jankowska, EA, Tsioufis, KP, van Gelder, IC, Aamodt, AH, Borger, MA, Ference, BA, Lewis, BS, Lochen, ML, McEvoy, JW, McGreavy, P, Nielsen, JC, Petersen, SE, Petronio, AS, Pogosova, NG, Prescott, EIB, Ray, KK, Richter, DJ, Touyz, RM, Verschuren, WMM, and Zamorano, JL

Published
2022

35. Patients with diffuse idiopathic skeletal hyperostosis have an increased burden of thoracic aortic calcifications

Author

MS Interne Geneeskunde, Circulatory Health, MS Radiologie, Arts-assistenten Radiologie, Beeldverwerking ISI, MS Orthopaedie Algemeen, Regenerative Medicine and Stem Cells, Cancer, Researchgr. Systems Radiology, Infection & Immunity, Team Medisch, Zorgeenheid Vaatchirurgie Medisch, Cardiovasculaire Epi Team 5, Cardiovasculaire Epidemiologie, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, Cardiovasculaire Epi Team 7a, Brain, MS Geriatrie, MS Verloskunde, Child Health, CTC, Neurologen, Nefro Vasculaire Geneeskunde, Interne Geneeskunde Vasculaire, Harlianto, Netanja I., Westerink, Jan, Hol, Marjolein E., Wittenberg, Rianne, Foppen, Wouter, Van Der Veen, Pieternella H., Van Ginneken, Bram, Verlaan, Jorrit Jan, De Jong, P. A., Mohamed Hoesein, Firdaus A.A., Asselbergs, F. W., Nathoe, H. M., De Borst, G. J., Bots, M. L., Geerlings, M. I., Emmelot, M. H., Leiner, T., Lely, A. T., Van Der Kaaij, N. P., Kappelle, L. J., Ruigrok, Y. M., Verhaar, M. C., Visseren, F. L.J., MS Interne Geneeskunde, Circulatory Health, MS Radiologie, Arts-assistenten Radiologie, Beeldverwerking ISI, MS Orthopaedie Algemeen, Regenerative Medicine and Stem Cells, Cancer, Researchgr. Systems Radiology, Infection & Immunity, Team Medisch, Zorgeenheid Vaatchirurgie Medisch, Cardiovasculaire Epi Team 5, Cardiovasculaire Epidemiologie, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, Cardiovasculaire Epi Team 7a, Brain, MS Geriatrie, MS Verloskunde, Child Health, CTC, Neurologen, Nefro Vasculaire Geneeskunde, Interne Geneeskunde Vasculaire, Harlianto, Netanja I., Westerink, Jan, Hol, Marjolein E., Wittenberg, Rianne, Foppen, Wouter, Van Der Veen, Pieternella H., Van Ginneken, Bram, Verlaan, Jorrit Jan, De Jong, P. A., Mohamed Hoesein, Firdaus A.A., Asselbergs, F. W., Nathoe, H. M., De Borst, G. J., Bots, M. L., Geerlings, M. I., Emmelot, M. H., Leiner, T., Lely, A. T., Van Der Kaaij, N. P., Kappelle, L. J., Ruigrok, Y. M., Verhaar, M. C., and Visseren, F. L.J.

Published
2022

36. Population median imputation was noninferior to complex approaches for imputing missing values in cardiovascular prediction models in clinical practice

Author

Unit Opleiding Aios, Cardiovasculaire Epi Team 5, JC onderzoeksprogramma Cardiovascular Health, Interne Geneeskunde Vasculaire, Circulatory Health, MS Interne Geneeskunde, Berkelmans, G F N, Read, S H, Gudbjörnsdottir, S, Wild, S H, Franzen, S, van der Graaf, Y, Eliasson, B, Visseren, F L J, Paynter, N P, Dorresteijn, J A N, Unit Opleiding Aios, Cardiovasculaire Epi Team 5, JC onderzoeksprogramma Cardiovascular Health, Interne Geneeskunde Vasculaire, Circulatory Health, MS Interne Geneeskunde, Berkelmans, G F N, Read, S H, Gudbjörnsdottir, S, Wild, S H, Franzen, S, van der Graaf, Y, Eliasson, B, Visseren, F L J, Paynter, N P, and Dorresteijn, J A N

Published
2022

37. The challenge of choosing in cardiovascular risk management

Author

Cardiologie, Zorgeenheid Vaatchirurgie Medisch, Brain, Circulatory Health, Regenerative Medicine and Stem Cells, Aios en Stafsecr. Cardiologie, Interne Geneeskunde Vasculaire, Hoogeveen, R. M., Hanssen, N. M. J., Brouwer, J. R., Mosterd, A., Tack, C. J., Kroon, A. A., de Borst, G. J., ten Berg, J., van Trier, T., van Lennep, J. Roeters, Liem, A., Serne, E., Visseren, F. L. J., Cornel, J. H., Peters, R. J. G., Jukema, J. W., Stroes, E. S. G., Cardiologie, Zorgeenheid Vaatchirurgie Medisch, Brain, Circulatory Health, Regenerative Medicine and Stem Cells, Aios en Stafsecr. Cardiologie, Interne Geneeskunde Vasculaire, Hoogeveen, R. M., Hanssen, N. M. J., Brouwer, J. R., Mosterd, A., Tack, C. J., Kroon, A. A., de Borst, G. J., ten Berg, J., van Trier, T., van Lennep, J. Roeters, Liem, A., Serne, E., Visseren, F. L. J., Cornel, J. H., Peters, R. J. G., Jukema, J. W., and Stroes, E. S. G.

Published
2022

38. Residual cardiovascular risk reduction guided by lifetime benefit estimation in patients with symptomatic atherosclerotic disease: Effectiveness and cost-effectiveness

Author

Interne Geneeskunde Vasculaire, MS Interne Geneeskunde, Circulatory Health, Cardiovasculaire Epi Team 5, Cardiovasculaire Epidemiologie, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, CCU Cardiologie, Team Medisch, HEE, Zorgeenheid Vaatchirurgie Medisch, Brain, Regenerative Medicine and Stem Cells, Cardiovasculaire Epi Team 7a, MS Geriatrie, Researchgr. Systems Radiology, Infection & Immunity, Cancer, MS Radiologie, MS Verloskunde, Child Health, CTC, Neurologen, Nefro Vasculaire Geneeskunde, Hageman, Steven H.J., Dorresteijn, Jannick A.N., Bots, Michiel L., Asselbergs, F. W., Westerink, Jan, Van Der Meulen, Miriam P., Mosterd, Arend, Visseren, F. L.J., Nathoe, H. M., De Borst, G. J., Geerlings, M. I., Emmelot, M. H., De Jong, P. A., Leiner, T., Lely, A. T., Van Der Kaaij, N. P., Kappelle, L. J., Ruigrok, Y. M., Verhaar, M. C., Interne Geneeskunde Vasculaire, MS Interne Geneeskunde, Circulatory Health, Cardiovasculaire Epi Team 5, Cardiovasculaire Epidemiologie, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, CCU Cardiologie, Team Medisch, HEE, Zorgeenheid Vaatchirurgie Medisch, Brain, Regenerative Medicine and Stem Cells, Cardiovasculaire Epi Team 7a, MS Geriatrie, Researchgr. Systems Radiology, Infection & Immunity, Cancer, MS Radiologie, MS Verloskunde, Child Health, CTC, Neurologen, Nefro Vasculaire Geneeskunde, Hageman, Steven H.J., Dorresteijn, Jannick A.N., Bots, Michiel L., Asselbergs, F. W., Westerink, Jan, Van Der Meulen, Miriam P., Mosterd, Arend, Visseren, F. L.J., Nathoe, H. M., De Borst, G. J., Geerlings, M. I., Emmelot, M. H., De Jong, P. A., Leiner, T., Lely, A. T., Van Der Kaaij, N. P., Kappelle, L. J., Ruigrok, Y. M., and Verhaar, M. C.

Published
2022

42. Patients with diffuse idiopathic skeletal hyperostosis have an increased burden of thoracic aortic calcifications

Author

Harlianto, Netanja I., Westerink, Jan, Hol, Marjolein E., Wittenberg, Rianne, Foppen, Wouter, van der Veen, Pieternella H., van Ginneken, Bram, Verlaan, Jorrit-Jan, de Jong, Pim A., Mohamed Hoesein, Firdaus A. A., Asselbergs, F. W., Nathoe, H. M., de Borst, G. J., Bots, M. L., Geerlings, M. I., Emmelot, M. H., de Jong, P. A., Leiner, T., Lely, A. T., van der Kaaij, N. P., Kappelle, L. J., Ruigrok, Y. M., Verhaar, M. C., Visseren, F. L. J., General practice, APH - Personalized Medicine, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Amsterdam Neuroscience - Neurodegeneration, and APH - Aging & Later Life

Subjects
calcification, All institutes and research themes of the Radboud University Medical Center, Rheumatology, thoracic aortic calcification, atherosclerosis, diffuse idiopathic skeletal hyperostosis, Rare cancers Radboud Institute for Health Sciences [Radboudumc 9], bone formation
Abstract

Objectives. DISH has been associated with increased coronary artery calcifications and incident ischaemic stroke. The formation of bone along the spine may share pathways with calcium deposition in the aorta. We hypothesized that patients with DISH have increased vascular calcifications. Therefore we aimed to investigate the presence and extent of DISH in relation to thoracic aortic calcification (TAC) severity. Methods. This cross-sectional study included 4703 patients from the Second Manifestation of ARTerial disease cohort, consisting of patients with cardiovascular events or risk factors for cardiovascular disease. Chest radiographs were scored for DISH using the Resnick criteria. Different severities of TAC were scored arbitrarily from no TAC to mild, moderate or severe TAC. Using multivariate logistic regression, the associations between DISH and TAC were analysed with adjustments for age, sex, BMI, diabetes, smoking status, non-high-density lipoprotein cholesterol, cholesterol lowering drug usage, renal function and blood pressure. Results. A total of 442 patients (9.4%) had evidence of DISH and 1789 (38%) patients had TAC. The prevalence of DISH increased from 6.6% in the no TAC group to 10.8% in the mild, 14.3% in the moderate and 17.1% in the severe TAC group. After adjustments, DISH was significantly associated with the presence of TAC [odds ratio (OR) 1.46 [95% CI 1.17, 1.82)]. In multinomial analyses, DISH was associated with moderate TAC [OR 1.43 (95% CI 1.06, 1.93)] and severe TAC [OR 1.67 (95% CI 1.19, 2.36)]. Conclusions. Subjects with DISH have increased TACs, providing further evidence that patients with DISH have an increased burden of vascular calcifications.

Published
2022

43. 2021 ESC Guidelines on cardiovascular disease prevention in clinical practice

Author

Visseren, F. L. J., Mach, F., Smulders, Y. M., Carballo, D., Koskinas, K. C., Back, M., Benetos, A., Biffi, A., Boavida, J. -M., Capodanno, D., Cosyns, B., Crawford, C., Davos, C. H., Desormais, I., DI Angelantonio, E., Franco, O. H., Halvorsen, S., Hobbs, F. D. R., Hollander, M., Jankowska, E. A., Michal, M., Sacco, S., Sattar, N., Tokgozoglu, L., Tonstad, S., Tsioufis, K. P., Van DIs, I., Van Gelder, I. C., Wanner, C., Williams, B., De Backer, G., Regitz-Zagrosek, V., Aamodt, A. H., Abdelhamid, M., Aboyans, V., Albus, C., Asteggiano, R., Borger, M. A., Brotons, C., Ielutkiene, J., Cifkova, R., Cikes, M., Cosentino, F., Dagres, N., De Backer, T., De Bacquer, D., Delgado, V., Den Ruijter, H., Dendale, P., Drexel, H., Falk, V., Fauchier, L., Ference, B. A., Ferrieres, J., Ferrini, M., Fisher, M., Fliser, D., Fras, Z., Gaita, D., Giampaoli, S., Gielen, S., Graham, I., Jennings, C., Jorgensen, T., Kautzky-Willer, A., Kavousi, M., Koenig, W., Konradi, A., Kotecha, D., Landmesser, U., Lettino, M., Lewis, B. S., Linhart, A., Lochen, M. -L., Makrilakis, K., Mancia, G., Marques-Vidal, P., Mcevoy, J. W., Mcgreavy, P., Merkely, B., Neubeck, L., Nielsen, J. C., Perk, J., Petersen, S. E., Petronio, A. S., Piepoli, M., Pogosova, N. G., Prescott, E. I. B., Ray, K. K., Reiner, Z., Richter, D. J., Ryden, L., Shlyakhto, E., Sitges, M., Sousa-Uva, M., Sudano, I., Tiberi, M., Touyz, R. M., Ungar, A., Verschuren, W. M. M., Wiklund, O., Wood, D., Zamorano, J. L., Crawford, C. A., Franco Duran, O. H., Richard Hobbs, F. D., Dis, I. V., Group, ESC Scientific Document, Clinical sciences, Cardio-vascular diseases, and Cardiology

Subjects
medicine.medical_specialty, Epidemiology, Population, air pollution, population, Guidelines, blood pressure, climate change, diabetes, healthy lifestyle, lifetime benefit, lifetime risk, lipids, nutrition, personalized, prevention, psychosocial factors, risk estimation, risk management, shared decision-making, smoking, stepwise approach, Risk Assessment, Humans, Primary Prevention, Risk Factors, Cardiovascular Diseases, Diabetes mellitus, medicine, Intensive care medicine, education, 610 Medicine & health, Risk management, education.field_of_study, business.industry, medicine.disease, Clinical Practice, Blood pressure, guidelines, Heart failure, Lifetime risk, Disease prevention, Cardiology and Cardiovascular Medicine, business, Stepwise approach, 360 Social problems & social services
Abstract

These are the clinical practice guidelines from the European Society of Cardiology on cardiovascular disease prevention in clinical practice, from 2021.

Published
2022

44. 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)

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2021

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