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SCORE2 risk prediction algorithms: new models to estimate 10-year risk of cardiovascular disease in Europe
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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.
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“To address these limitations, the current Guidelines recommend use of the SCORE2-Diabetes model, which extends the regionally recalibrated European SCORE2 10-year risk model to enable use in individuals with T2DM aged 40-69 years without ASCVD or severe TOD, and to estimate an individual's 10-year risk of fatal and non-fatal CVD events (MI, stroke).49”
From 2023 ESC guidelines for the management of cardiovascular disease in patients with diabetes. (2023) · cites this paper as [49]
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Vos, T., Lim, S. S., Abbafati, C., Abbas, K. M., Abbasi, M., Abbasifard, M., Abbasi-Kangevari, M., Abbastabar, H., Abd-Allah, F., Abdelalim, A., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30925-9 · Cited by 19,358
Sudlow, C., Gallacher, J., Allen, N., Beral, V., Burton, P., Danesh, J., Downey, P., Elliott, P., Green, J., Landray, M., et al. (2015) · PLOS Medicine · doi:10.1371/journal.pmed.1001779 · Cited by 12,728
Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz
(2013) · Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz · doi:10.1007/103.1437-1588 · Cited by 11,769
Global Burden of Cardiovascular Diseases and Risk Factors, 1990–2019
Roth, G. A., Mensah, G. A., Johnson, C. O., Addolorato, G., Ammirati, E., Baddour, L. M., Barengo, N. C., Beaton, A. Z., Benjamin, E. J., Benziger, C. P., et al. (2020) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2020.11.010 · Cited by 11,449
Mach, F., Baigent, C., Catapano, A. L., Koskinas, K. C., Casula, M., Badimon, L., Chapman, M. J., De Backer, G. G., Delgado, V., Ference, B. A., et al. (2020) · European Heart Journal · doi:10.1093/eurheartj/ehz455 · Cited by 8,961
Self-citationGeneral Cardiovascular Risk Profile for Use in Primary Care: The Framingham Heart Study
D’Agostino, R. B., Vasan, R. S., Pencina, M. J., Wolf, P. A., Cobain, M., Massaro, J. M., & Kannel, W. B. (2008) · Circulation · doi:10.1161/circulationaha.107.699579 · Cited by 7,491
Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project
Conroy, R. (2003) · European Heart Journal · doi:10.1016/s0195-668x(03)00114-3 · Cited by 5,290
External review and validation of the Swedish national inpatient register
Ludvigsson, J. F., Andersson, E., Ekbom, A., Feychting, M., Kim, J.-L., Reuterwall, C., Heurgren, M., & Olausson, P. O. (2011) · BMC Public Health · doi:10.1186/1471-2458-11-450 · Cited by 5,055
2013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk
Goff, D. C., Lloyd-Jones, D. M., Bennett, G., Coady, S., D’Agostino, R. B., Gibbons, R., Greenland, P., Lackland, D. T., Levy, D., O’Donnell, C. J., et al. (2014) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2013.11.005 · Cited by 4,945
Self-citationMach, F., Baigent, C., Catapano, A. L., Koskinas, K. C., Casula, M., Badimon, L., Chapman, M. J., De Backer, G. G., Delgado, V., Ference, B. A., et al. (2019) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2019.08.014 · Cited by 4,854
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Hirose, K., Nakanishi, K., Daimon, M., Sawada, N., Konoma, S., Kobayashi, S., Seki, H., Yoshida, Y., Hirokawa, M., Nakao, T., et al. (2025) · American Journal of Preventive Cardiology · doi:10.1016/j.ajpc.2025.101368 · Cited by 2
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Tong, M., Zhang, M., Xu, M., Cao, Z., Ning, G., Wang, W., Wang, J., Yang, Q., & Zheng, J. (2026) · Cardiovascular Diabetology · doi:10.1186/s12933-025-03050-7 · Cited by 2
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Self-citationTortosa-Carreres, J., Piqueras, M., Cátedra, C., Vañó-Bellver, A., Domingo, D., Claramunt-Carbonell, T., Martínez-Dolz, L., & Laiz-Marro, B. (2026) · Clinica Chimica Acta · doi:10.1016/j.cca.2026.120943 · Cited by 2
Kanbay, M., Çöpür, S., Sarafidis, P. A., Ferro, C. J., & Ortíz, A. (2026) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfag055 · Cited by 2
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Jakše, B., & Jakše, B. (2023) · Science of Gymnastics Journal · doi:10.52165/sgj.15.1.27-46 · Cited by 4
Airale, L., Borrelli, F., Arrivi, A., Baracchi, A., Bertacchini, F., Cartella, I., Curcio, R., Izzo, R., Lembo, M., Mancusi, C., et al. (2023) · Hypertension Research · doi:10.1038/s41440-023-01340-9 · Cited by 2
Rogé, M., Guimas, V., Rio, E., Vaugier, L., Perennec, T., Alexandre, J., Supiot, S., & Martin-Mervoyer, E. (2023) · Cancers · doi:10.3390/cancers15164157 · Cited by 2
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Simon, A., Faluközy, J., Sípos, K., Tiringer, I., Lugosi, P., & Veress, G. (2024) · Cardiologia Hungarica · doi:10.26430/chungarica.2024.54.1.9 · Cited by 2
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Malone, R., Savage, S., Crowley, V., Hennessy, M., O’Connor, P. A., & Kennedy, C. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13082270 · Cited by 2
Landolfo, M., Spannella, F., Gezzi, A., Giulietti, F., Sabbatini, L., Bari, I., Alessandroni, R., Agostini, A. D., Turri, P., Alborino, F., et al. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13082295 · Cited by 2
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Ghouse, J., Ahlberg, G., Rand, S. A., OLESEN, M. S., Vilhjálmsson, B. J., Stender, S., & Bundgaard, H. (2024) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.124.320990 · Cited by 2
Vranić, I., Stanković, I., Ignjatović, A., Kafedžić, S., Radovanović, M., Nešković, A., & Vidaković, R. (2024) · Hellenic Journal of Cardiology · doi:10.1016/j.hjc.2024.05.003 · Cited by 2
Kirichenko, Y. Y., Kulagina, T. Y., Zhigulina, O. A., Ilgisonis, I. S., & Belenkov, Y. N. (2024) · Kardiologiia · doi:10.18087/cardio.2024.5.n2661 · Cited by 2
Shi, Y., Chen, Z., Qi, W., Cao, S., Chen, X., Xu, D., & Wang, C. (2024) · BMJ Open · doi:10.1136/bmjopen-2024-085930 · Cited by 2
Hupin, D., Oriol, M., Laukkanen, J. A., Abraham, P., Dulac, N., Laugier, S., Trauchessec, G., Carmaux, A., Haber, B., Bertoletti, L., et al. (2024) · Scandinavian Journal of Medicine and Science in Sports · doi:10.1111/sms.14686 · Cited by 2
Völkerer, A., Wernly, S., Semmler, G., Flamm, M., Radzikowski, K., Datz, L., Götz, N., Hofer, H., Aigner, E. S., Datz, C., et al. (2024) · Journal of Personalized Medicine · doi:10.3390/jpm14080862 · Cited by 2
Abela, I. A., Chammartin, F., Amstutz, A., Surial, B., Ballif, M., Marzolini, C., Aebi‐Popp, K., Notter, J., Ségéral, O., Stoeckle, M. P., et al. (2024) · Open Forum Infectious Diseases · doi:10.1093/ofid/ofae502 · Cited by 2
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Reuter, A., Ali, M. K., Mohan, V., Chwastiak, L., Singh, K. K., Narayan, K. M. V., Prabhakaran, D., Tandon, N., & Sudharsanan, N. (2024) · npj Digital Medicine · doi:10.1038/s41746-024-01353-9 · Cited by 2
Kokkorakis, M., Folkertsma, P., Anagnostakis, F., Sirotin, N., Agarwal, M. A., Shantouf, R. S., Henning, R. H., Pijl, H., Wolffenbuttel, B. H. R., Bax, J. J., et al. (2024) · EBioMedicine · doi:10.1016/j.ebiom.2024.105518 · Cited by 2
Wong, W. K., Takeuchi, F., Thảo, L. T. P., Nicholls, S. J., Chew, D. P., & Peter, K. (2025) · European Journal of Preventive Cardiology · doi:10.1093/eurjpc/zwaf039 · Cited by 2
Pervyshin, N. A., Bulgakova, S. V., Chertischeva, A. A., Galkin, R. A., & Lebedeva, E. A. (2025) · Экспериментальная и клиническая гастроэнтерология · doi:10.31146/1682-8658-ecg-228-8-273-280 · Cited by 2
Muiesan, M. L., Virdis, A., Tocci, G., Borghi, C., Cicero, A. F. G., Ferri, C., Pirro, M., Corsini, A., & Volpe, M. (2025) · High Blood Pressure & Cardiovascular Prevention · doi:10.1007/s40292-024-00700-x · Cited by 2
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Truong, H. P., Tran, H. M., Huynh, T., Nguyen, D. N. Q., Ho, D. T., Tran, C. C., Tuan, V. M., & Sang, N. V. (2025) · Journal of Imaging · doi:10.3390/jimaging11050130 · Cited by 2
Kintscher, U., Halbach, M., Berrisch-Rahmel, S., Genth‐Zotz, S., Weil, J., & Mahfoud, F. (2025) · Die Kardiologie · doi:10.1007/s12181-025-00748-6 · Cited by 2
Nicolaides, A. N., Panayiotou, A. G., GRIFFIN, M. B., Tyllis, T., Kyriacou, E. C., Avraamides, C., Ierodiakonou, D., Demetriou, C. A., & Martin, R. M. (2025) · International Angiology · doi:10.23736/s0392-9590.25.05386-6 · Cited by 2
Chang, W., Hong, J.-H., Chen, D., Huang, C., Chen, Y., Cha, T., Wu, Y., Lin, T., Cheng, K., Chiang, P.-J., et al. (2025) · PubMed Central · doi:10.6515/acs.202505_41(3).20250224a · Cited by 2
Biasin, M., Cordioli, N., Armani, I., Guerrieri, L., Parmegian, G., Sarai, A., Bonadiman, L., Lomi, S., Gambaro, A., & Ribichini, F. L. (2025) · International Journal of Cardiology · doi:10.1016/j.ijcard.2025.133474 · Cited by 2
Alexander, G. C., Curran, J. N., Victores, A., Mehta, H. B., Lin, S., Xiao, X., Michos, E. D., Ballreich, J. M., Bash, L. D., Exter, J., et al. (2025) · Journal of General Internal Medicine · doi:10.1007/s11606-025-09625-0 · Cited by 2
Palomo‐Piñón, S., Alcocer, L. A., Álvarez‐López, H., Cardona-Muñóz, E. G., Chávez‐Mendoza, A., Díaz‐Díaz, E., Enciso‐Muñoz, J. M., Galván‐Oseguera, H., Rosas-Peralta, M., Cortes, L. R. G., et al. (2025) · Journal of Clinical Hypertension · doi:10.1111/jch.70106 · Cited by 5
Atherosclerotic Cardiovascular Disease Risk Assessment in the Age of PREVENT
Brar, S., Chakrabarti, A., & Yang, E. (2025) · Current Epidemiology Reports · doi:10.1007/s40471-025-00371-9 · Cited by 2
Sex differences in coronary artery disease
Seegers, L. M. (2025) · Naunyn-Schmiedeberg s Archives of Pharmacology · doi:10.1007/s00210-025-04751-2 · Cited by 4
The epidemiology of cardiovascular disease
Backer, G. D., Graham, I. D., Lira, M. T., Hayman, L. L., & Uchmanowicz, I. (2021) · Oxford University Press eBooks · doi:10.1093/med/9780198849315.003.0001 · Cited by 2
Self-citationSotos‐Prieto, M., Delgado-Velandía, M., Fernandez-Felix, B. M., Zamora, J., Ortolá, R., García‐Esquinas, E., Rimm, E. B., & Rodríguez‐Artalejo, F. (2023) · Revista Española de Cardiología · doi:10.1016/j.recesp.2022.10.013 · Cited by 2
Krstačić, G., Jülicher, P., Krstačić, A., & Varounis, C. (2024) · International Journal of Cardiology Cardiovascular Risk and Prevention · doi:10.1016/j.ijcrp.2024.200244 · Cited by 2
Dienhart, C., Aigner, E. S., Iglseder, B., Frey, V., Gostner, I., Langthaler, P. B., Paulweber, B., Trinka, E., & Wernly, B. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13154492 · Cited by 2
Brotons, C., Camafort, M., Castellanos, M., Clarà, A. B. I., Cortés, O., Rodríguez, Á. D., Elosúa, R., Gorostidi, M., Hernández, A. M., Herranz, M., et al. (2022) · Clínica e Investigación en Arteriosclerosis (English Edition) · doi:10.1016/j.artere.2022.06.007 · Cited by 2
Adverse Pregnancy Outcomes—Risk Enhancers Whose Time Has Finally Arrived
Bello, N. A. (2023) · JAMA · doi:10.1001/jama.2022.24387 · Cited by 2
Pekayvaz, K., Losert, C., Knottenberg, V., van Blokland, I. V., Oelen, R., Groot, H. E., Benjamins, J. W., Brambs, S., Kaiser, R. W. J., Eivers, L., et al. (2023) · medRxiv · doi:10.1101/2023.05.02.23289392 · Cited by 2
Loizidou, E. M., Simistiras, A., Barmpounakis, P., Glentis, S., Dimopoulos, A. C., Anezaki, M., Kontoyiannis, I., Demiris, N., Rouskas, P., Scarmeas, N., et al. (2023) · medRxiv · doi:10.1101/2023.05.17.23290094 · Cited by 1
Auer, J., & Lamm, G. (2023) · European Journal of Preventive Cardiology · doi:10.1093/eurjpc/zwad222 · Cited by 2
Kimenai, D. M., & Shah, A. S. V. (2024) · Postgraduate Medical Journal · doi:10.1093/postmj/qgae043 · Cited by 2
Graham, I. M. (2024) · European Journal of Preventive Cardiology · doi:10.1093/eurjpc/zwae286 · Cited by 2
Self-citationTime matters: exploring horizons in cardiovascular disease risk assessment
Pennells, L. A. M., Pavey, H., & Taylor, O. A. (2025) · European Journal of Preventive Cardiology · doi:10.1093/eurjpc/zwaf073 · Cited by 2
Self-citationTowards improving risk prediction through clustering analysis
Henao, R., & Pencina, M. J. (2025) · European Journal of Preventive Cardiology · doi:10.1093/eurjpc/zwaf164 · Cited by 3
Statins in primary prevention: a missed opportunity?
Kamstrup, P. R., & Nordestgaard, B. G. (2025) · European Journal of Preventive Cardiology · doi:10.1093/eurjpc/zwaf244 · Cited by 2
Self-citationPerezalonso-Espinosa, J., Ramírez‐García, D., Díaz-Sánchez, J. P., Carrillo-Herrera, K. B., Cabrera-Quintana, L. A., Dávila-López, G., Fermín‐Martínez, C. A., Liceaga, A. M., Basile‐Alvarez, M. R., Berumen-Campos, J., et al. (2025) · medRxiv · doi:10.1101/2025.09.07.25335293 · Cited by 2
Endrass, J., Krbanjevic, V., Khattab, K., Pavicic, E., Zwahlen, M., & Stute, P. (2026) · Archives of Gynecology and Obstetrics · doi:10.1007/s00404-025-08254-6 · Cited by 2
Vafia, C., & Panagiotakos, D. B. (2022) · Journal of Atherosclerosis Prevention and Treatment · doi:10.53590/japt.02.1034 · Cited by 1
Self-citationBogdanov, D. Y., Афанасьевна, Н. В., Shakhgeldyan, K. I., & Мокшина, М. В. (2022) · Systemic Hypertension · doi:10.38109/2075-082x-2022-2-27-32 · Cited by 1
Yao, H., Ekou, A. K., Ehouman, E., Guezo, M., Soya, E., Kouadio, D., Touré, C., Kyandabike, R. K., Koffi, D., & N’Guetta, R. (2023) · Annales de Cardiologie et d Angéiologie · doi:10.1016/j.ancard.2023.101602 · Cited by 1
Artificial intelligence and cardiovascular disease in women
Campos, B. A. F., Adedinsewo, D. A., Tsang, W., & Silversides, C. K. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-90534-3.00027-5 · Cited by 1
Marozzi, M. S., Vacca, A., Desantis, V., Panebianco, T., Catena, C., Brosolo, G., Noviello, S., Cirulli, A., Solimando, A. G., Sechi, L. A., et al. (2023) · Metabolites · doi:10.3390/metabo13101053 · Cited by 1
A new method for vascular age estimation based on relative risk difference in vascular aging
Tang, Q., Liu, S., Tao, C., Wang, J., Zhao, H., Wang, G., Xu, Z., Ren, Q., Zhang, L., Su, B., et al. (2024) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2024.108155 · Cited by 1
Self-citationMishkin, I. A., Васильевна, К. А., Gusev, A. V., Saharov, A. A., & Drapkina, O. M. (2024) · Russian Journal of Preventive Medicine · doi:10.17116/profmed20242702196 · Cited by 1
Gimžauskaitė, A., Inčiūra, D., Diringytė, G., Lukoševičius, S., Kaupas, R. S., Pranculis, A., Mačiulaitytė, A., Basevičius, A., Kuprytė, M., Stankevıčıus, E., et al. (2024) · Medicina · doi:10.3390/medicina60050836 · Cited by 1
Zhong, Y., Feng, C., Hou, L., Yang, M., Zhang, X., Wu, J., Dong, B., Jia, P., Yang, S., & Dou, Q. (2024) · BMC Geriatrics · doi:10.1186/s12877-024-05094-y · Cited by 1
Arabidze, G. G., Мамедов, М. Н., & Akhundova, H. R. (2024) · CARDIOVASCULAR THERAPY AND PREVENTION · doi:10.15829/1728-8800-2024-3966 · Cited by 1
Fuster, V. P., & Escobar, C. F. (2023) · Revista médica de Chile · doi:10.4067/s0034-98872023000901143 · Cited by 1
Metadata
- Authors
- SCORE2 working group and ESC Cardiovascular risk collaboration, Hageman, S., Pennells, L., Ojeda, F., Kaptoge, S., Kuulasmaa, K., de Vries, T., Xu, Z., Kee, F., Chung, R., Wood, A., McEvoy, J. W., Veronesi, G., Bolton, T., Achenbach, S., Aleksandrova, K., Amiano, P., Sebastian, D.-S., Amouyel, P., Andersson, J., Bakker, S. J. L., Da Providencia Costa, R. B., 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., Brunström, 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., Di Castelnuovo, A., Donfrancesco, C., Dörr, M., Doryńska, A., Eliasson, M., Engström, G., Ferrari, P., Ferrario, M., Ford, I., Fu, M., Gansevoort, R. T., Giampaoli, S., Gillum, R. F., Gómez de la Cámara, A., Grassi, G., Hansson, P.-O., Huculeci, R., Hveem, K., Iacoviello, L., Ikram, M. K., Jørgensen, T., Joseph, B., Jousilahti, P., Wouter Jukema, J., Kaaks, R., Katzke, V., Kavousi, M., Kiechl, S., Klotsche, J., König, W., Kronmal, R. A., Kubinova, R., Kucharska-Newton, A., Läll, K., Lehmann, N., Leistner, D., Linneberg, A., Pablos, D. L., Lorenz, T., Lu, W., Luksiene, D., Lyngbakken, M., Magnussen, C., Malyutina, S., Ibañez, 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., Münzel, T., Nikitin, Y., Nordestgaard, B. G., Omland, T., Onland, C., Overvad, K., Packard, C., Pająk, A., Palmieri, L., Panagiotakos, D., Panico, S., Perez-Cornago, A., Peters, A., Pietilä, A., Pikhart, 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., Schöttker, B., Schulze, M., Schwartz, J. E., Selmer, R. M., Shea, S., Shipley, M. J., Sieri, S., Söderberg, S., Sofat, R., Tamosiunas, A., Thorand, B., Tillmann, T., Tjønneland, A., Tong, T. Y. N., Trichopoulou, A., Tumino, R., Tunstall-Pedoe, H., Tybjaerg-Hansen, A., Tzoulaki, J., van der Heijden, A., van der Schouw, Y. T., Verschuren, W. M. M., Völzke, H., Waldeyer, C., Wareham, N. J., Weiderpass, E., Weidinger, F., Wild, P., Willeit, J., Willeit, P., Wilsgaard, T., Woodward, M., Zeller, T., Zhang, D., Zhou, B., Dendale, P., Ference, B. A., Halle, M., Timmis, A., Vardas, P., Danesh, J., Graham, I., Salomaa, V., Visseren, F., De Bacquer, D., Blankenberg, S., Dorresteijn, J., & Di Angelantonio, E.
- Affiliations
- Institut Pasteur de Lille (FR)
- Centre de Recherche des Cordeliers (FR)
- ORCID
- Hageman, Steven
- Pennells, Lisa
- Ojeda, Francisco
- Kaptoge, Stephen
- Kuulasmaa, Kari
- de Vries, Tamar
- Xu, Zhe
- Kee, Frank
- Chung, Ryan
- Wood, Angela
- McEvoy, John William
- Veronesi, Giovanni
- Achenbach, Stephan
- Aleksandrova, Krasimira
- Amiano, Pilar
- Amouyel, Philippe
- Andersson, Jonas
- Bakker, Stephan J L
- Beulens, Joline W J
- Blaha, Michael
- Bobak, Martin
- Boer, Jolanda M A
- Bonet, Catalina
- Bonnet, Fabrice
- Boutron-Ruault, Marie-Christine
- Braaten, Tonje
- Brenner, Hermann
- Brunner, Fabian
- Brunner, Eric J
- Brunström, Mattias
- Buring, Julie
- Butterworth, Adam S
- Capkova, Nadezda
- Cesana, Giancarlo
- Chrysohoou, Christina
- Colorado-Yohar, Sandra
- Cook, Nancy R
- Cooper, Cyrus
- Dahm, Christina C
- Davidson, Karina
- Dennison, Elaine
- Di Castelnuovo, Augusto
- Donfrancesco, Chiara
- Dörr, Marcus
- Doryńska, Agnieszka
- Eliasson, Mats
- Engström, Gunnar
- Ferrari, Pietro
- Ferrario, Marco
- Ford, Ian
- Fu, Michael
- Gansevoort, Ron T
- Giampaoli, Simona
- Gillum, Richard F
- Grassi, Guido
- Hansson, Per-Olof
- Huculeci, Radu
- Hveem, Kristian
- Iacoviello, Licia
- Ikram, M Kamran
- Jørgensen, Torben
- Joseph, Bijoy
- Jousilahti, Pekka
- Kaaks, Rudolf
- Katzke, Verena
- Kavousi, Maryam
- Kiechl, Stefan
- König, Wolfgang
- Kronmal, Richard A
- Kucharska-Newton, Anna
- Läll, Kristi
- Leistner, David
- Linneberg, Allan
- Lorenz, Thiess
- Lu, Wentian
- Luksiene, Dalia
- Lyngbakken, Magnus
- Magnussen, Christina
- Malyutina, Sofia
- Masala, Giovanna
- Mathiesen, Ellisiv B
- Matsushita, Kuni
- Melander, Olle
- Moons, Karel G M
- Muller, David
- Münzel, Thomas
- Nordestgaard, Børge G
- Omland, Torbjørn
- Overvad, Kim
- Packard, Chris
- Pająk, Andrzej
- Palmieri, Luigi
- Panagiotakos, Demosthenes
- Panico, Salvatore
- Perez-Cornago, Aurora
- Peters, Annette
- Pietilä, Arto
- Pikhart, , Hynek
- Psaty, Bruce M
- Quarti-Trevano, Fosca
- Riboli, Elio
- Ridker, Paul M
- Rodriguez-Barranco, Miguel
- Rosengren, Annika
- Roussel, Ronan
- Sacerdote, Carlotta
- Sans, Susana
- Sattar, Naveed
- Schiborn, Catarina
- Schmidt, Börge
- Schöttker, Ben
- Schulze, Matthias
- Schwartz, Joseph E
- Selmer, Randi Marie
- Shea, Steven
- Sieri, Sabina
- Söderberg, Stefan
- Sofat, Reecha
- Thorand, Barbara
- Tillmann, Taavi
- Tjønneland, Anne
- Tong, Tammy Y N
- Trichopoulou, Antonia
- Tumino, Rosario
- Tunstall-Pedoe, Hugh
- van der Schouw, Yvonne T
- Verschuren, W M Monique
- Wareham, Nicholas J
- Weiderpass, Elisabete
- Wild, Philipp
- Willeit, Johann
- Willeit, Peter
- Woodward, Mark
- Zeller, Tanja
- Zhang, Dudan
- Zhou, Bin
- Dendale, Paul
- Halle, Martin
- Timmis, Adam
- Vardas, Panos
- Danesh, John
- Graham, Ian
- Salomaa, Veikko
- Visseren, Frank
- Blankenberg, Stefan
- Dorresteijn, Jannick
- Di Angelantonio, Emanuele
- Venue
- European Heart Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 2021-06-13
- Volume
- 42
- Issue
- 25
- Pages
- 2439-2454
- ISSN
- 0195-668X (ISSN-L)
- 1522-9645
- PMC
- PMC8248998
- OpenAlex
- W3166015112
- Cited by
- 1,810
- References
- 46
- Citations by year
- 2026: 467 · 2025: 442 · 2024: 395 · 2023: 301 · 2022: 173 · 2021: 32
- FWCI
- 194.65
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- European Heart Journal (publishedVersion, other-oa)
- PubMed Central (publishedVersion)
- VBN Forskningsportal (Aalborg Universitet) (publishedVersion, other-oa)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, other-oa)
- PubMed (publishedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (publishedVersion, other-oa)
- Leiden Repository (Leiden University) (submittedVersion, cc-by)
- Lithuanian University of Health Sciences (submittedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, cc-by)
- HAL (submittedVersion)
- Ghent University Academic Bibliography (Ghent University) (submittedVersion)
- BOA (University of Milano-Bicocca) (submittedVersion)
- Document Server@UHasselt (UHasselt) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- NORA - Norwegian Open Research Archives (submittedVersion, other-oa)
- IrInSubria (University of Insubria) (submittedVersion)
- Site cant be reached (submittedVersion, other-oa)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, other-oa)
- PuSH - Publication Server of Helmholtz Zentrum München (submittedVersion)
- STM:n Hallinnonalan avoin julkaisuarkisto (Julkari) (submittedVersion)
- WOS
- Funders
- British Heart Foundation (SP/09/002, RG/13/13/30194, RG/18/13/33946)
- BHF Centre of Research Excellence (RE/18/1/34212)
- UK Medical Research Council (MR/L003120/1)
- National Institute for Health Research
- Cambridge Biomedical Research Centre (BRC-1215-20014)
- Wellcome Trust (064947/Z/01/Z, WT081081)
- National Institute on Aging (AG23522)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health Promotion and Cardiovascular Prevention
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Risk Factors
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipoproteins and Cardiovascular Health
- Keywords
- SCORE2, cardiovascular risk prediction, 10-year cardiovascular risk, risk prediction model, smoking, systolic blood pressure, total cholesterol, HDL cholesterol, sex differences, middle-aged adults, external validation
- MeSH terms
- Algorithms, Blood Pressure, Cardiovascular Diseases, Europe, Female, Humans, Male, Middle Aged, Risk Factors
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