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Original Research

Estimating the Future Burden of Myocardial Infarction in France Until 2035: An Illness-Death Model-Based Approach

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Pages 255-264 | Published online: 05 Mar 2022

References

  • Vos T, Lim SS, Abbafati C, et al. Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet. 2020;396(10258):1204–1222. doi:10.1016/S0140-6736(20)30925-9
  • Institut national de la statistique et de études économiques.[Population projections up to 2070]. Insee Première – 1619; 2016. Available from: https://www.insee.fr/fr/statistiques/2496228. Accessed August 14, 2021. French.
  • Gabet A, Danchin N, Juillière Y, Olié V. Acute coronary syndrome in women: rising hospitalizations in middle-aged French women, 2004–14. Eur Heart J. 2017;38(14):1060–1065. doi:10.1093/eurheartj/ehx097
  • Blacher J, Gabet A, Vallée A, et al. Prevalence and management of hypercholesterolemia in France, the Esteban observational study. Medicine. 2020;99(50):e23445. doi:10.1097/MD.0000000000023445
  • Lailler G, Piffaretti C, Fuentes S, et al. Prevalence of prediabetes and undiagnosed type 2 diabetes in France: results from the national survey ESTEBAN, 2014–2016. Diabetes Res Clin Pract. 2020;165:108252. doi:10.1016/j.diabres.2020.108252
  • Pasquereau A, Andler R, Arwidson P, Nguyen-Thanh V. [Tobacco consumption among adults: five years of the national program against smoking], 2014–2019. Bulletin Epidémiologique Hebdomadaire. 2020;14:273–281. French.
  • Vallée A, Gabet A, Grave C, Sorbets E, Blacher J, Olié V. Patterns of hypertension management in France in 2015: the ESTEBAN survey. J Clin Hypertens. 2020;22(4):663–672. doi:10.1111/jch.13834
  • Verdot C, Torres M, Salanave B, Deschamps V. [Corpulence of children and adults in metropolitan France in 2015. Results of the Esteban study and evolution since 2006]. Bulletin Epidémiologique Hebdomadaire. 2017;13(1):234–241. French.
  • De Peretti C, Danchin N, Danet S, Olie V, Gabet A. [Prevalence and functional status of ischaemic heart disease and heart failure in the adult population in France: contributions of the Handicap-Santé declarative surveys]. Bulletin Epidémiologique Hebdomadaire. 2014;9(10):172–181. French.
  • Joly P, Touraine C, Georget A, Dartigues JF, Commenges D, Jacqmin-Gadda H. Prevalence projections of chronic diseases and impact of public health intervention. Biometrics. 2013;69(1):109–117. doi:10.1111/j.1541-0420.2012.01827.x
  • Keiding N. Age-specific incidence and prevalence: a statistical perspective. J Royal Statis so Series A. 1991;154(3):371. doi:10.2307/2983150
  • Tuppin P, Rudant J, Constantinou P, et al. Value of a national administrative database to guide public decisions: from the système national d’information interrégimes de l’Assurance Maladie (SNIIRAM) to the système national des données de santé (SNDS) in France. Revue d’Épidémiologie et de Santé Publique. 2017;65:S149–S167. doi:10.1016/j.respe.2017.05.004
  • Boudemaghe T, Belhadj I. Data resource profile: the French national uniform hospital discharge data set database (PMSI). Int J Epidemiol. 2017;46(2):392–392d. doi:10.1093/ije/dyw359
  • [Population projections 2013-2070 for France: method and main results]. Documents de travail - F1606. Insee. Available from: https://www.insee.fr/fr/statistiques/2400057. Accessed August 14, 2021. French.
  • Clayton D, Schifflers E. Models for temporal variation in cancer rates. I: age–period and age–cohort models. Stat Med. 1987;6(4):449–467. doi:10.1002/sim.4780060405
  • Olshansky SJ, Carnes BA. Ever since Gompertz. Demography. 1997;34(1):1–15. doi:10.2307/2061656
  • Gompertz B. On the nature of the function expressive of the law of human mortality, and on a new mode of determining the value of life contingencies. In a letter to Francis Baily, Esq. F. R. S. &c. By Benjamin Gompertz, Esq. F. R. S. Philos Transact Royal Soc London. 1833;2:252–253. doi:10.1098/rspl.1815.0271
  • Marquina C, Talic S, Vargas-Torres S, et al. Future burden of cardiovascular disease in Australia: impact on health and economic outcomes between 2020 and 2029. Eur J Prev Cardiol. 2021;zwab001. doi:10.1093/eurjpc/zwab001
  • Bibbins-Domingo K, Coxson P, Pletcher MJ, Lightwood J, Goldman L. Adolescent overweight and future adult coronary heart disease. N Engl J Med. 2007;357(23):2371–2379. doi:10.1056/NEJMsa073166
  • Heidenreich PA, Trogdon JG, Khavjou OA, et al. Forecasting the future of cardiovascular disease in the United States: a policy statement from the American Heart Association. Circulation. 2011;123(8):933–944. doi:10.1161/CIR.0b013e31820a55f5
  • Milan V, Fetzer S, Hagist C. Healing, surviving, or dying? – Projecting the German future disease burden using a Markov illness-death model. BMC Public Health. 2021;21(1):123. doi:10.1186/s12889-020-09941-6
  • Moran A, Gu D, Zhao D, et al. Future cardiovascular disease in China: Markov model and risk factor scenario projections from the coronary heart disease policy model–China. Cardiovasc Qual Outcomes. 2010;3(3):243–252. doi:10.1161/CIRCOUTCOMES.109.910711
  • Ben Ayed H, Ben Jemaa M, Trigui M, et al. Cardiovascular diseases in Southern Tunisia: current trends and future projections. Tunisie Medicale. 2019;97(5):659–666.
  • Modig K, Drefahl S, Andersson T, Ahlbom A. The aging population in Sweden: can declining incidence rates in MI, stroke and cancer counterbalance the future demographic challenges? Eur J Epidemiol. 2012;27(2):139–145. doi:10.1007/s10654-012-9653-2
  • Moran A, Zhao D, Gu D, et al. The future impact of population growth and aging on coronary heart disease in China: projections from the coronary heart disease policy model-China. BMC Public Health. 2008;8(1):394. doi:10.1186/1471-2458-8-394
  • Harezlak J, Gao S, Hui SL. An illness-death stochastic model in the analysis of longitudinal dementia data. Stat Med. 2003;22(9):1465–1475. doi:10.1002/sim.1506
  • Commenges D, Joly P, Letenneur L, Dartigues J. Incidence and mortality of Alzheimer’s disease or dementia using an illness-death model. Stat Med. 2004;23(2):199–210. doi:10.1002/sim.1709
  • Frydman H. Nonparametric estimation of a Markov ‘illness-death’ process from interval-censored observations, with application to diabetes survival data. Biometrika. 1995;82(4):773–789. doi:10.1093/biomet/82.4.773
  • Carstensen B. Age–period–cohort models for the Lexis diagram. Stat Med. 2007;26(15):3018–3045. doi:10.1002/sim.2764