#PAGE_PARAMS# #ADS_HEAD_SCRIPTS# #MICRODATA#

Patterns and temporal trends of comorbidity among adult patients with incident cardiovascular disease in the UK between 2000 and 2014: A population-based cohort study


Using data from a primary care database in the UK, Kazem Rahimi and colleagues examine the patterns and temporal trends of comorbidity among patients with incident cardiovascular disease between 2000 and 2014


Vyšlo v časopise: Patterns and temporal trends of comorbidity among adult patients with incident cardiovascular disease in the UK between 2000 and 2014: A population-based cohort study. PLoS Med 15(3): e32767. doi:10.1371/journal.pmed.1002513
Kategorie: Research Article
prolekare.web.journal.doi_sk: https://doi.org/10.1371/journal.pmed.1002513

Souhrn

Using data from a primary care database in the UK, Kazem Rahimi and colleagues examine the patterns and temporal trends of comorbidity among patients with incident cardiovascular disease between 2000 and 2014


Zdroje

1. de Groot V, Beckerman H, Lankhorst GJ, Bouter LM. How to measure comorbidity. a critical review of available methods. J Clin Epidemiol. 2003;56(3):221–9. doi: 10.1016/S0895-4356(02)00585-1 12725876

2. Glynn LG, Valderas JM, Healy P, Burke E, Newell J, Gillespie P. The prevalence of multimorbidity in primary care and its effect on health care utilization and cost. Fam Pract. 2011;28(5):516–23. doi: 10.1093/fampra/cmr013 21436204

3. Palladino R. Associations between multimorbidity, healthcare utilisation and health status: evidence from 16 European countries. Age Ageing. 2016;45(3):431–5. doi: 10.1093/ageing/afw044 27013499

4. Murray CJL, Vos T, Lozano R, Naghavi M, Flaxman AD, Michaud C, et al. Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012;380(9859):2197–223. doi: 10.1016/S0140-6736(12)61689-4 23245608

5. Diederichs C, Berger K, Bartels DB. The measurement of multiple chronic diseases—a systematic review on existing multimorbidity indices. J Gerontol A Biol Sci Med Sci. 2011;66(3):301–11. doi: 10.1093/gerona/glq208 21112963

6. Dunlay SM, Chamberlain AM. Multimorbidity in older patients with cardiovascular disease. Curr Cardiovasc Risk Rep. 2016;10:3. doi: 10.1007/s12170-016-0491-8 27274775

7. Fillenbaum GG, Pieper CF, Cohen HJ, Cornoni-Huntley JC, Guralnik JM. Comorbidity of five chronic health conditions in elderly community residents: determinants and impact on mortality. J Gerontol A Biol Sci Med Sci. 2000;55(2):M84–9. 10737690

8. Arnett DK, Goodman RA, Halperin JL, Anderson JL, Parekh AK, Zoghbi WA. AHA/ACC/HHS strategies to enhance application of clinical practice guidelines in patients with cardiovascular disease and comorbid conditions: from the American Heart Association, American College of Cardiology, and U.S. Department of Health and Human Services. J Am Coll Cardiol. 2014;64(17):1851–6. doi: 10.1016/j.jacc.2014.07.012 25219921

9. Bell SP, Saraf AA. Epidemiology of multimorbidity in older adults with cardiovascular disease. Clin Geriatr Med. 32(2):215–26. doi: 10.1016/j.cger.2016.01.013 27113142

10. Chen HY, Saczynski JS, McManus DD, Lessard D, Yarzebski J, Lapane KL, et al. The impact of cardiac and noncardiac comorbidities on the short-term outcomes of patients hospitalized with acute myocardial infarction: a population-based perspective. Clin Epidemiol. 2013;5:439–48. doi: 10.2147/CLEP.S49485 24235847

11. McManus DD, Nguyen HL, Saczynski JS, Tisminetzky M, Bourell P, Goldberg RJ. Multiple cardiovascular comorbidities and acute myocardial infarction: temporal trends (1990–2007) and impact on death rates at 30 days and 1 year. Clin Epidemiol. 2012;4:115–23. doi: 10.2147/CLEP.S30883 22701091

12. Herrett E, Gallagher AM, Bhaskaran K, Forbes H, Mathur R, van Staa T, et al. Data resource profile: Clinical Practice Research Datalink (CPRD). Int J Epidemiol. 2015;44(3):827–36. doi: 10.1093/ije/dyv098 26050254

13. Garcia Rodriguez LA, Perez Gutthann S. Use of the UK General Practice Research Database for pharmacoepidemiology. Br J Clin Pharmacol. 1998;45(5):419–25. doi: 10.1046/j.1365-2125.1998.00701.x 9643612

14. Khan NF, Harrison SE, Rose PW. Validity of diagnostic coding within the General Practice Research Database: a systematic review. Br J Gen Pract. 2010;60(572):e128–e36. doi: 10.3399/bjgp10X483562 20202356

15. Herrett E, Thomas SL, Schoonen WM, Smeeth L, Hall AJ. Validation and validity of diagnoses in the General Practice Research Database: a systematic review. Br J Clin Pharmacol. 2010;69(1):4–14. doi: 10.1111/j.1365-2125.2009.03537.x 20078607

16. Medicines and Healthcare Products Regulatory Agency. Welcome to Clinical Practice Research Database. London: Medicines and Healthcare Products Regulatory Agency; 2017 [cited 2018 Feb 1]. Available from: https://www.cprd.com/intro.asp.

17. Lewis JD, Bilker WB, Weinstein RB, Strom BL. The relationship between time since registration and measured incidence rates in the General Practice Research Database. Pharmacoepidemiol Drug Saf. 2005;14(7):443–51. doi: 10.1002/pds.1115 15898131

18. NHS Digital. Quality and Outcomes Framework (QOF). London: NHS Digital; 2015 [cited 2015 Dec 21]. Available from: http://www.hscic.gov.uk/qof.

19. Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40(5):373–83. doi: 10.1016/0021-9681(87)90171-8 3558716

20. US Department of Health and Human Services Office of the Assistant Secretary for Health. HHS Initiative on Multiple Chronic Conditions. Washington (DC): US Department of Health and Human Services Office of the Assistant Secretary for Health; 2011 [cited 2018 Feb 1]. Available from: https://www.hhs.gov/ash/about-ash/multiple-chronic-conditions/index.html.

21. Denaxas SC, George J, Herrett E, Shah AD, Kalra D, Hingorani AD, et al. Data resource profile: Cardiovascular disease research using linked bespoke studies and electronic health records (CALIBER). Int J Epidemiol. 2012;41(6):1625–38. doi: 10.1093/ije/dys188 23220717

22. Newton JN, Briggs AD, Murray CJ, Dicker D, Foreman KJ, Wang H, et al. Changes in health in England, with analysis by English regions and areas of deprivation, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2015;386(10010):2257–74. doi: 10.1016/S0140-6736(15)00195-6 26382241

23. Barnett K, Mercer SW, Norbury M, Watt G, Wyke S, Guthrie B. Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study. Lancet. 2012;380(9836):37–43. doi: 10.1016/S0140-6736(12)60240-2 22579043

24. Department for Communities and Local Government. The English Index of Multiple Deprivation 2015: guidance. London: Department for Communities and Local Government; 2015.

25. Eurostat. Revision of the European Standard Population—report of Eurostat’s task force. 2013 edition. Luxembourg: Eurostat; 2013.

26. Rothman K, Greenland S. Modern epidemiology. 2nd edition. Philadelphia: Lippincott Williams & Wilkins; 1998.

27. Sison CP, Glaz J. Simultaneous confidence intervals and sample size determination for multinomial proportions. J Am Stat Assoc. 1995;90(429):366–9. doi: 10.2307/2291162

28. R Core Team. R: a language and environment for statistical computing. Version 3.3.2. Vienna: R Foundation for Statistical Computing; 2017.

29. Benchimol EI, Smeeth L, Guttmann A, Harron K, Moher D, Petersen I, et al. The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) Statement. PLOS Med. 2015;12(10):e1001885. doi: 10.1371/journal.pmed.1001885 26440803

30. Kirchberger I, Meisinger C, Heier M, Zimmermann A-K, Thorand B, Autenrieth CS, et al. Patterns of multimorbidity in the aged population. Results from the KORA-Age Study. PLoS ONE. 2012;7(1):e30556. doi: 10.1371/journal.pone.0030556 22291986

31. Piette JD, Kerr EA. The impact of comorbid chronic conditions on diabetes care. Diabetes Care. 2006;29(3):725–31. doi: 10.2337/diacare.29.03.06.dc05-2078 16505540

32. Daskalopoulou M, George J, Walters K, Osborn DP, Batty GD, Stogiannis D, et al. Depression as a risk factor for the initial presentation of twelve cardiac, cerebrovascular, and peripheral arterial diseases: data linkage study of 1.9 million women and men. PLoS ONE. 2016;11(4):e0153838. doi: 10.1371/journal.pone.0153838 27105076

33. Moussavi S, Chatterji S, Verdes E, Tandon A, Patel V, Ustun B. Depression, chronic diseases, and decrements in health: results from the World Health Surveys. Lancet. 2007;370(9590):851–8. doi: 10.1016/S0140-6736(07)61415-9 17826170

34. Friedman EM. Inflammation partially mediates the association of multimorbidity and functional limitations in a national sample of middle-aged and older adults. J Aging Health. 27(5):843–63. doi: 10.1177/0898264315569453 25649677

35. Boyd CM, Fortin M. Future of multimorbidity research: how should understanding of multimorbidity inform health system design? Public Health Rev. 2010;32:451–74.

36. Fortin M, Haggerty J, Almirall J, Bouhali T, Sasseville M, Lemieux M. Lifestyle factors and multimorbidity: cross sectional study. BMC Public Health. 2014;14:686. doi: 10.1186/1471-2458-14-686 24996220

37. Abad-Diez JM, Calderon-Larranaga A, Poncel-Falco A, Poblador-Plou B, Calderon-Meza JM, Sicras-Mainar A, et al. Age and gender differences in the prevalence and patterns of multimorbidity in the older population. BMC Geriatrics. 2014;14:75. doi: 10.1186/1471-2318-14-75 24934411

38. Lee S, Shafe ACE, Cowie MR. UK stroke incidence, mortality and cardiovascular risk management 1999–2008: time-trend analysis from the General Practice Research Database. BMJ Open. 2011;1(2):e000269. doi: 10.1136/bmjopen-2011-000269 22021893

39. Smolina K, Wright FL, Rayner M, Goldacre MJ. Determinants of the decline in mortality from acute myocardial infarction in England between 2002 and 2010: linked national database study. BMJ (Clinical research ed). 2012;344:d8059. doi: 10.1136/bmj.d8059 22279113

40. Gallacher KI, Batty GD, McLean G, Mercer SW, Guthrie B, May CR, et al. Stroke, multimorbidity and polypharmacy in a nationally representative sample of 1,424,378 patients in Scotland: implications for treatment burden. BMC Med. 2014;12(1):151. doi: 10.1186/s12916-014-0151-0 25280748

41. Herrett E, Shah AD, Boggon R, Denaxas S, Smeeth L, van Staa T, et al. Completeness and diagnostic validity of recording acute myocardial infarction events in primary care, hospital care, disease registry, and national mortality records: cohort study. BMJ. 2013;346:f2350. doi: 10.1136/bmj.f2350 23692896

42. Smith SM, Soubhi H, Fortin M, Hudon C, O’Dowd T. Managing patients with multimorbidity: systematic review of interventions in primary care and community settings. BMJ. 2012;345:e5205. doi: 10.1136/bmj.e5205 22945950

Štítky
Interné lekárstvo

Článok vyšiel v časopise

PLOS Medicine


2018 Číslo 3
Najčítanejšie tento týždeň
Najčítanejšie v tomto čísle
Kurzy

Zvýšte si kvalifikáciu online z pohodlia domova

Aktuální možnosti diagnostiky a léčby litiáz
nový kurz
Autori: MUDr. Tomáš Ürge, PhD.

Všetky kurzy
Prihlásenie
Zabudnuté heslo

Zadajte e-mailovú adresu, s ktorou ste vytvárali účet. Budú Vám na ňu zasielané informácie k nastaveniu nového hesla.

Prihlásenie

Nemáte účet?  Registrujte sa

#ADS_BOTTOM_SCRIPTS#