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Review

Validity of Acute Cardiovascular Outcome Diagnoses Recorded in European Electronic Health Records: A Systematic Review

ORCID Icon, , ORCID Icon, &
Pages 1095-1111 | Published online: 14 Oct 2020

References

  • World Health Organization. The top 10 causes of death. https://www.who.int/en/news-room/fact-sheets/detail/the-top-10-causes-of-death. Accessed 211, 2019.
  • European Heart Network. CVD statistics 2017; 2017 Available from: http://www.ehnheart.org/cvd-statistics/cvd-statistics-2017.html. Accessed 109, 2019..
  • Denaxas SC, Morley KI. Big biomedical data and cardiovascular disease research: opportunities and challenges. Eur Hear J - Qual Care Clin Outcomes. 2015;1(1):9–16. doi:10.1093/ehjqcco/qcv005
  • 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.x20078607
  • Sund R. Quality of the Finnish hospital discharge register: a systematic review. Scand J Public Health. 2012;40(6):505–515. doi:10.1177/140349481245663722899561
  • Ludvigsson JF, Andersson E, Ekbom A, et al. External review and validation of the Swedish national inpatient register. BMC Public Health. 2011;11:450. doi:10.1186/1471-2458-11-45021658213
  • Schmidt M, Schmidt SAJ, Sandegaard JL, Ehrenstein V, Pedersen L, Sørensen HT. The Danish National Patient Registry: a review of content, data quality, and research potential. Clin Epidemiol. 2015;7:449–490. doi:10.2147/CLEP.S9112526604824
  • Rubbo B, Fitzpatrick NK, Denaxas S, et al. Use of electronic health records to ascertain, validate and phenotype acute myocardial infarction: a systematic review and recommendations. Int J Cardiol. 2015;187:705–711. doi:10.1016/j.ijcard.2015.03.07525966015
  • Woodfield R, Grant I, Sudlow CLM; UK Biobank Follow-Up and Outcomes Working Group. Accuracy of electronic health record data for identifying stroke cases in large-scale epidemiological studies: a systematic review from the UK biobank stroke outcomes group. PLoS One. 2015;10(10):e0140533. doi:10.1371/journal.pone.014053326496350
  • McCormick N, Lacaille D, Bhole V, Avina-Zubieta JA, Guo Y. Validity of myocardial infarction diagnoses in administrative databases: a systematic review. PLoS One. 2014;9(3):e92286. doi:10.1371/journal.pone.009228624682186
  • McCormick N, Lacaille D, Bhole V, Avina-Zubieta JA. Validity of heart failure diagnoses in administrative databases: a systematic review and meta-analysis. PLoS One. 2014;9(8):e104519. doi:10.1371/journal.pone.010451925126761
  • McCormick N, Bhole V, Lacaille D, Avina-Zubieta JA. Validity of diagnostic codes for acute stroke in administrative databases: a systematic review. PLoS One. 2015;10(8):e0135834. doi:10.1371/journal.pone.013583426292280
  • Poudel I, Tejpal C, Rashid H, Jahan N. Major adverse cardiovascular events: an inevitable outcome of ST-elevation myocardial infarction? A literature review. Cureus. 2019;11(7). doi:10.7759/cureus.5280
  • Davidson JA, Banerjee A, Muzambi R, Smeeth L, Warren-Gash C. Validity of acute cardiovascular outcome diagnoses in European electronic health records: a systematic review protocol. BMJ Open. 2019;9(10). doi:10.1136/bmjopen-2019-031373
  • Ponikowski P, Voors AA, Anker SD, et al. 2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure: the task force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC) developed with the special contribution. Eur Heart J. 2016;37(27):2129–2200.27206819
  • Luepker RV, Apple FS, Christenson RH, et al. Case definitions for acute coronary heart disease in epidemiology and clinical research studies. Circulation. 2003;108(20):2543–2549. doi:10.1161/01.CIR.0000100560.46946.EA14610011
  • Sacco RL, Kasner SE, Broderick JP, et al. An updated definition of stroke for the 21st century: a statement for healthcare professionals from the American Heart Association/American Stroke Association. Stroke. 2013;44(7):2064–2089. doi:10.1161/STR.0b013e318296aeca23652265
  • Whiting PF, Rutjes AWS, Westwood ME, et al. QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med. 2011;155(8):529. doi:10.7326/0003-4819-155-8-201110180-0000922007046
  • The Cochrane Collaboration. Cochrane handbook for systematic reviews of interventions. Version 5. (Higgins JP, Green S, eds.); 2011 Available from: https://handbook-5-1.cochrane.org/. Accessed 99, 2020.
  • Nyaga VN, Arbyn M, Aerts M. Metaprop: a Stata command to perform meta-analysis of binomial data. Arch Public Health. 2014;72(1):1–10. doi:10.1186/2049-3258-72-3924428945
  • Schünemann HJ, Oxman AD, Brozek J, et al. Grading quality of evidence and strength of recommendations for diagnostic tests and strategies. BMJ. 2008;336:1106–1110. doi:10.1136/bmj.39500.677199.ae18483053
  • Bork CS, Al-Zuhairi KS, Hansen SM, Delekta J, Joensen AM. Accuracy of angina pectoris and acute coronary syndrome in the Danish National Patient Register. Dan Med J. 2017;64(5).
  • Coloma PM, Valkhoff VE, Mazzaglia G, et al. Identification of acute myocardial infarction from electronic healthcare records using different disease coding systems: a validation study in three European countries. BMJ Open. 2013;3(6):e002862. doi:10.1136/bmjopen-2013-002862
  • Kümler T, Gislason GH, Kirk V, et al. Accuracy of a heart failure diagnosis in administrative registers. Eur J Heart Fail. 2008;10(7):658–660. doi:10.1016/j.ejheart.2008.05.00618539522
  • Lühdorf P, Overvad K, Schmidt EB, Johnsen SP, Bach FW. Predictive value of stroke discharge diagnoses in the Danish National Patient Register. Scand J Public Health. 2017;45(6):630–636. doi:10.1177/140349481771658228701076
  • Madsen M, Balling H, Eriksen LS. [The validity of the diagnosis of acute myocardial infarction in 2 registries: the Heart Registry compared to the National Patient Registry]. Ugeskr Laeger. 1990;152(5):308–314. Danish.2301079
  • Madsen M, Davidsen M, Rasmussen S, Abildstrom SZ, Osler M. The validity of the diagnosis of acute myocardial infarction in routine statistics: a comparison of mortality and hospital discharge data with the Danish MONICA registry. J Clin Epidemiol. 2003;56(2):124–130. doi:10.1016/S0895-4356(02)00591-712654406
  • Mard S, Nielsen FE. Positive predictive value and impact of misdiagnosis of a heart failure diagnosis in administrative registers among patients admitted to a university hospital cardiac care unit. Clin Epidemiol. 2010;2:235–239. doi:10.2147/CLEP.S1245721042557
  • Sundbøll J, Adelborg K, Munch T, et al. Positive predictive value of cardiovascular diagnoses in the Danish National Patient Registry: a validation study. BMJ Open. 2016;6(11):e012832. doi:10.1136/bmjopen-2016-012832
  • Thygesen SK, Christiansen CF, Christensen S, Lash TL, Sørensen HT. The predictive value of ICD-10 diagnostic coding used to assess Charlson comorbidity index conditions in the population-based Danish National Registry of Patients. BMC Med Res Methodol. 2011;11:83. doi:10.1186/1471-2288-11-8321619668
  • Wildenschild C, Mehnert FW, Thomsen R, et al. Registration of acute stroke: validity in the Danish Stroke Registry and the Danish National Registry of Patients. Clin Epidemiol. 2013;6:27. doi:10.2147/CLEP.S5044924399886
  • Dalsgaard E-M, Witte DR, Charles M, Jørgensen ME, Lauritzen T, Sandbæk A. Validity of Danish register diagnoses of myocardial infarction and stroke against experts in people with screen-detected diabetes. BMC Public Health. 2019;19(1):228. doi:10.1186/s12889-019-6549-z30795763
  • Delekta J, Hansen S, AlZuhairi K, Bork C, Joensen A. The validity of the diagnosis of heart failure (I50.0-I50.9) in the Danish National Patient Register. Dan Med J. 2018;65(4):A5470.29619925
  • Egholm G, Madsen M, Thim T, et al. Evaluation of algorithms for registry-based detection of acute myocardial infarction following percutaneous coronary intervention. Clin Epidemiol. 2016;8:415–423. doi:10.2147/CLEP.S10890627799822
  • Frost L, Andersen LV, Vestergaard P, Husted S, Mortensen LS. Trend in mortality after stroke with atrial fibrillation. Am J Med. 2007;120(1):47–53. doi:10.1016/j.amjmed.2005.12.02717208079
  • Gaist D. Risk of subarachnoid haemorrhage in first degree relatives of patients with subarachnoid haemorrhage: follow up study based on national registries in Denmark. BMJ. 2000;320(7228):141–145. doi:10.1136/bmj.320.7228.14110634731
  • Joensen AM, Jensen MK, Overvad K, et al. Predictive values of acute coronary syndrome discharge diagnoses differed in the Danish National Patient Registry. J Clin Epidemiol. 2009;62(2):188–194. doi:10.1016/J.JCLINEPI.2008.03.00518722087
  • Johnsen SP, Overvad K, Sørensen HT, Tjønneland A, Husted SE. Predictive value of stroke and transient ischemic attack discharge diagnoses in The Danish National Registry of Patients. J Clin Epidemiol. 2002;55(6):602–607. doi:10.1016/S0895-4356(02)00391-812063102
  • Krarup L-H, Boysen G, Janjua H, Prescott E, Truelsen T. Validity of stroke diagnoses in a National Register of Patients. Neuroepidemiology. 2007;28(3):150–154. doi:10.1159/00010214317478969
  • Barer D, Ellul J, Watkins C. Correcting outcome data for case mix in stroke medicine. BMJ. 1996;313(7063):1005–1006. doi:10.1136/bmj.313.7063.1005c
  • Cook M, Baker N, Lanes S, Bullock R, Wentworth C, Michael Arrighi H. Incidence of stroke and seizure in Alzheimer’s disease dementia. Age Ageing. 2015;44(4):695–699. doi:10.1093/ageing/afv06126008894
  • McAlpine R, Pringle S, Pringle T, Lorimer R, MacDonald TM. A study to determine the sensitivity and specificity of hospital discharge diagnosis data used in the MICA study. Pharmacoepidemiol Drug Saf. 1998;7(5):311–318. doi:10.1002/(SICI)1099-1557(199809/10)7:5<311::AID-PDS371>3.0.CO;2-O15073977
  • Pfister R, Michels G, Wilfred J, Luben R, Wareham NJ, Khaw KT. Does ICD-10 hospital discharge code I50 identify people with heart failure? A validation study within the EPIC-Norfolk study. Int J Cardiol. 2013;168(4):4413–4414. doi:10.1016/j.ijcard.2013.05.03123706330
  • Ruigómez A, Martín‐Merino E, Rodríguez LAG. Validation of ischemic cerebrovascular diagnoses in the health improvement network (THIN). Pharmacoepidemiol Drug Saf. 2010;19(6):579–585. doi:10.1002/PDS.191920131328
  • Sansom LT, Ramadan H. Stroke incidence: sensitivity of hospital data coding of acute stroke. Int J Stroke. 2015;10(6):E70. doi:10.1111/ijs.1257726202720
  • Van Staa TP, Abenhaim L. The quality of information recorded on a UK database of primary care records: a study of hospitalizations due to hypoglycemia and other conditions. Pharmacoepidemiol Drug Saf. 1994;3(1):15–21. doi:10.1002/pds.2630030106
  • Wright FL, Green J, Canoy D, Cairns BJ, Balkwill A, Beral V. Vascular disease in women: comparison of diagnoses in hospital episode statistics and general practice records in England. BMC Med Res Methodol. 2012;12(1):161. doi:10.1186/1471-2288-12-16123110714
  • Zhou EH, Gelperin K, Levenson MS, Rose M, Hsueh YH, Graham DJ. Risk of acute myocardial infarction, stroke, or death in patients initiating olmesartan or other angiotensin receptor blockers – a cohort study using the clinical practice research datalink. Pharmacoepidemiol Drug Saf. 2014;23(4):340–347. doi:10.1002/pds.354924285502
  • Davenport RJ, Dennis MS, Warlow CP. The accuracy of Scottish Morbidity Record (SMR1) data for identifying hospitalised stroke patients. Health Bull (Raleigh). 1996;54(5):402–405.
  • Donnan PT, Dougall HT, Sullivan FM. Optimal strategies for identifying patients with myocardial infarction in general practice. Fam Pract. 2003;20(6):706–710. doi:10.1093/fampra/cmg61414701896
  • Gaist D, Wallander M-A, González-Pérez A, García-Rodríguez LA. Incidence of hemorrhagic stroke in the general population: validation of data from The Health Improvement Network. Pharmacoepidemiol Drug Saf. 2013;22(2):176–182. doi:10.1002/pds.339123229888
  • Hammad TA, McAdams MA, Feight A, Iyasu S, Dal Pan GJ. Determining the predictive value of Read/OXMIS codes to identify incident acute myocardial infarction in the General Practice Research Database. Pharmacoepidemiol Drug Saf. 2008;17(12):1197–1201. doi:10.1002/pds.167218985705
  • Herrett E, Shah AD, Boggon R, 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(may203):f2350–f2350. doi:10.1136/bmj.f235023692896
  • Khand AU, Shaw M, Gemmel I, Cleland JGF. Do discharge codes underestimate hospitalisation due to heart failure? Validation study of hospital discharge coding for heart failure. Eur J Heart Fail. 2005;7(5):792–797. doi:10.1016/j.ejheart.2005.04.00116054867
  • Kirkman MA, Mahattanakul W, Gregson BA, Mendelow AD. The accuracy of hospital discharge coding for hemorrhagic stroke. Acta Neurol Belg. 2009;109(2):114–119.19681442
  • Kivimäki M, Batty GD, Singh-Manoux A, Britton A, Brunner EJ, Shipley MJ. Validity of cardiovascular disease event ascertainment using linkage to UK hospital records. Epidemiology. 2017;28(5):735–739. doi:10.1097/EDE.000000000000068828570383
  • Ekker MS, Verhoeven JI, Vaartjes I, van Nieuwenhuizen KM, Klijn CJM, de Leeuw FE. Stroke incidence in young adults according to age, subtype, sex, and time trends. Neurology. 2019;92(21):e2444–e2454. doi:10.1212/WNL.000000000000753331019103
  • Hammar N, Alfredsson L, Rosén M, Spetz CL, Kahan T, Ysberg AS. A national record linkage to study acute myocardial infarction incidence and case fatality in Sweden. Int J Epidemiol. 2001;30(Suppl 1):S30–4. doi:10.1093/ije/30.suppl_1.S3011759848
  • Heerdink ER, Leufkens HG, Herings RM, Ottervanger JP, Stricker BH, Bakker A. NSAIDs associated with increased risk of congestive heart failure in elderly patients taking diuretics. Arch Intern Med. 1998;158(10):1108–1112. doi:10.1001/archinte.158.10.11089605782
  • Holmqvist M, Gränsmark E, Mantel Ä, et al. Occurrence and relative risk of stroke in incident and prevalent contemporary rheumatoid arthritis. Ann Rheum Dis. 2013;72(4):541–546. doi:10.1136/annrheumdis-2012-20138722610975
  • Nieuwkamp DJ, Vaartjes I, Algra A, Rinkel GJE, Bots ML. Risk of cardiovascular events and death in the life after aneurysmal subarachnoid haemorrhage: a nationwide study. Int J Stroke. 2014;9(8):1090–1096. doi:10.1111/j.1747-4949.2012.00875.x22973950
  • Vila-Corcoles A, Satue-Gracia E, Ochoa-Gondar O, et al. Incidence and lethality of ischaemic stroke among people 60 years or older in the region of Tarragona (Spain), 2008–2011. Rev Neurol. 2014;59(11):490–496.25418143
  • Varmdal T, Bakken IJ, Janszky I, et al. Comparison of the validity of stroke diagnoses in a medical quality register and an administrative health register. Scand J Public Health. 2016;44(2):143–149. doi:10.1177/140349481562164126660300
  • Köster M, Asplund K, Johansson Å, Stegmayr B. Refinement of Swedish Administrative Registers to monitor stroke events on the national level. Neuroepidemiology. 2013;40(4):240–246. doi:10.1159/00034595323364278
  • Merry AHH, Boer JMA, Schouten LJ, et al. Validity of coronary heart diseases and heart failure based on hospital discharge and mortality data in the Netherlands using the cardiovascular registry Maastricht cohort study. Eur J Epidemiol. 2009;24(5):237–247. doi:10.1007/s10654-009-9335-x19337843
  • Stegmayr B, Asplund K. Measuring stroke in the population: quality of routine statistics in comparison with a population-based stroke registry. Neuroepidemiology. 1992;11(4–6):204–213. doi:10.1159/0001109331291884
  • Mähönen M, Jula A, Harald K, et al. The validity of heart failure diagnoses obtained from administrative registers. Eur J Prev Cardiol. 2013;20(2):254–259. doi:10.1177/204748731243897922345696
  • Pajunen P, Koukkunen H, Ketonen M, et al. The validity of the Finnish Hospital Discharge Register and causes of death register data on coronary heart disease. Eur J Cardiovasc Prev Rehabil. 2005;12(2):132–137.15785298
  • Pietilä K, Tenkanen L, Mänttäri M, Manninen V. How to define coronary heart disease in register-based follow-up studies: experience from the Helsinki Heart Study. Ann Med. 1997;29(3):253–259. doi:10.3109/078538997089993439240631
  • Rapola JM, Virtamo J, Korhonen P, et al. Validity of diagnoses of major coronary events in national registers of hospital diagnoses and deaths in Finland. Eur J Epidemiol. 1997;13(2):133–138. doi:10.1023/A:10073804087299084994
  • Appelros P, Terént A. Validation of the Swedish inpatient and cause-of-death registers in the context of stroke. Acta Neurol Scand. 2011;123(4):289–293. doi:10.1111/j.1600-0404.2010.01402.x21361878
  • Leppälä JM, Virtamo J, Heinonen OP. Validation of stroke diagnosis in the National Hospital Discharge Register and the Register of Causes of Death in Finland. Eur J Epidemiol. 1999;15(2):155–160. doi:10.1023/A:100750431043110204645
  • Tolonen H, Salomaa V, Torppa J, et al. The validation of the Finnish Hospital Discharge Register and causes of death register data on stroke diagnoses. Eur J Cardiovasc Prev Rehabil. 2007;14(3):380–385. doi:10.1097/01.hjr.0000239466.26132.f217568236
  • Baldereschi M, Balzi D, Di Fabrizio V, et al. Administrative data underestimate acute ischemic stroke events and thrombolysis treatments: data from a multicenter validation survey in Italy. PLoS One. 2018;13(3):e0193776. doi:10.1371/journal.pone.019377629534079
  • Barchielli A, Balzi D, Naldoni P, et al. Hospital discharge data for assessing myocardial infarction events and trends, and effects of diagnosis validation according to MONICA and AHA criteria. J Epidemiol Community Health. 2012;66(5):462–467. doi:10.1136/jech.2010.11090820961870
  • Bezin J, Girodet P-O, Rambelomanana S, et al. Choice of ICD-10 codes for the identification of acute coronary syndrome in the French hospitalization database. Fundam Clin Pharmacol. 2015;29(6):586–591. doi:10.1111/fcp.1214326301735
  • Bosco-Lévy P, Duret S, Picard F, et al. Diagnostic accuracy of the International Classification of Diseases, Tenth Revision, codes of heart failure in an administrative database. Pharmacoepidemiol Drug Saf. 2019;28(2):194–200. doi:10.1002/pds.469030395375
  • Giroud M, Hommel M, Benzenine E, Fauconnier J, Béjot Y, Quantin C. Positive predictive value of French hospitalization discharge codes for stroke and transient ischemic attack. Eur Neurol. 2015;74:92–99. doi:10.1159/00043885926337650
  • Haesebaert J, Termoz A, Polazzi S, et al. Can hospital discharge databases be used to follow ischemic stroke incidence? Stroke. 2013;44(7):1770–1774. doi:10.1161/STROKEAHA.113.00130023735951
  • Hammar N, Larsen FF, de Faire U. Are geographical differences and time trends in myocardial infarction incidence in Sweden real? Validity of hospital discharge diagnoses. J Clin Epidemiol. 1994;47(6):685–693. doi:10.1016/0895-4356(94)90216-x7722581
  • Heliövaara M, Reunanen A, Aromaa A, Knekt P, Aho K, Suhonen O. Validity of hospital discharge data in a prospective epidemiological study on stroke and myocardial infarction. Acta Med Scand. 1984;216(3):309–315. doi:10.1111/j.0954-6820.1984.tb03809.x6496188
  • Hjerpe P, Merlo J, Ohlsson H, Bengtsson Boström K, Lindblad U. Validity of registration of ICD codes and prescriptions in a research database in Swedish primary care: a cross-sectional study in Skaraborg primary care database. BMC Med Inform Decis Mak. 2010;10(1). doi:10.1186/1472-6947-10-23
  • Ingelsson E, Ärnlöv J, Sundström J, Lind L. The validity of a diagnosis of heart failure in a hospital discharge register. Eur J Heart Fail. 2005;7(5):787–791. doi:10.1016/j.ejheart.2004.12.00715916919
  • Joensuu T, Näyhä S. Reliability of hospital discharge diagnoses of acute myocardial infarction. Scand J Soc Med. 1992;20(2):85–86. doi:10.1177/1403494892020002041496335
  • Kaspar M, Fette G, Güder G, et al. Underestimated prevalence of heart failure in hospital inpatients: a comparison of ICD codes and discharge letter information. Clin Res Cardiol. 2018;107(9):778–787. doi:10.1007/s00392-018-1245-z29667017
  • Leone MA, Capponi A, Varrasi C, Tarletti R, Monaco F. Accuracy of the ICD-9 codes for identifying TIA and stroke in an Italian automated database. Neurol Sci. 2004;25(5):281–288. doi:10.1007/s10072-004-0355-815624086
  • Lindblad U, Råstam L, Ranstam J, Peterson M. Validity of register data on acute myocardial infarction and acute stroke: the Skaraborg Hypertension Project. Scand J Soc Med. 1993;21(1):3–9. doi:10.1177/1403494893021001028469941
  • Nilsson AC, Spetz CL, Carsjö K, Nightingale R, Smedby B. [Reliability of the hospital registry. The diagnostic data are better than their reputation]. Lakartidningen. 1994;91(7):598,603–605. Swedish.8114596
  • Øie LR, Madsbu MA, Giannadakis C, et al. Validation of intracranial hemorrhage in the Norwegian Patient Registry. Brain Behav. 2018;8(2):e00900. doi:10.1002/brb3.90029484261
  • Rinaldi R, Vignatelli L, Galeotti M, Azzimondi G, de Carolis P. Accuracy of ICD-9 codes in identifying ischemic stroke in the General Hospital of Lugo di Romagna (Italy). Neurol Sci. 2003;24(2):65–69. doi:10.1007/s10072030007412827541
  • Rodrigo-Rincon I, Martin-Vizcaino MP, Tirapu-Leon B, Zabalza-Lopez P, Abad-Vicente FJ, Merino-Peralta A. Validity of the clinical and administrative databases in detecting post-operative adverse events. Int J Qual Health Care. 2015;27(4):267–275. doi:10.1093/intqhc/mzv03926082462
  • Sedova P, Brown RD, Zvolsky M, et al. Validation of stroke diagnosis in the National Registry of Hospitalized Patients in the Czech Republic. J Stroke Cerebrovasc Dis. 2015;24(9):2032–2038. doi:10.1016/j.jstrokecerebrovasdis.2015.04.01926139454
  • Spolaore P, Brocco S, Fedeli U, et al. Measuring accuracy of discharge diagnoses for a region-wide surveillance of hospitalized strokes. Stroke. 2005;36(5):1031–1034. doi:10.1161/01.STR.0000160755.94884.4a15790948
  • Valk MJ, Mosterd A, Broekhuizen BDL, et al. Overdiagnosis of heart failure in primary care: a cross-sectional study. Br J Gen Pract. 2016;66(649):e587–e592. doi:10.3399/bjgp16X68570527266859
  • van Doorn S, Brakenhoff TB, Moons KGM, et al. The effects of misclassification in routine healthcare databases on the accuracy of prognostic prediction models: a case study of the CHA2DS2-VASc score in atrial fibrillation. Diagnostic Progn Res. 2017;1(1). doi:10.1186/s41512-017-0018-x
  • Verdú-Rotellar JM, Frigola-Capell E, Alvarez-Pérez R, et al. Validation of heart failure diagnosis registered in primary care records in two primary care centres in Barcelona (Spain) and factors related. A cross-sectional study. Eur J Gen Pract. 2017;23(1):107–113. doi:10.1080/13814788.2017.130510428376668
  • Gini R, Schuemie MJ, Mazzaglia G, et al. Automatic identification of type 2 diabetes, hypertension, ischaemic heart disease, heart failure and their levels of severity from Italian General Practitioners’ electronic medical records: a validation study. BMJ Open. 2016;6(12):e012413. doi:10.1136/bmjopen-2016-012413
  • Bernal JL, Barrabés JA, Íñiguez A, et al. Clinical and administrative data on the research of acute coronary syndrome in Spain. Minimum basic data set validity. Rev Española Cardiol (English Ed). 2019;72(1):56–62. doi:10.1016/j.rec.2018.01.026
  • Mähönen M, Salomaa V, Brommels M, et al. The validity of hospital discharge register data on coronary heart disease in Finland. Eur J Epidemiol. 1997;13(4):403–415. doi:10.1023/A:10073061108229258546
  • Palomäki P, Miettinen H, Mustaniemi H, et al. Diagnosis of acute myocardial infarction by MONICA and FINMONICA diagnostic criteria in comparison with hospital discharge diagnosis. J Clin Epidemiol. 1994;47(6):659–666. doi:10.1016/0895-4356(94)90213-57722578
  • Aboa-Eboulé C, Mengue D, Benzenine E, et al. How accurate is the reporting of stroke in hospital discharge data? A pilot validation study using a population-based stroke registry as control. J Neurol. 2013;260(2):605–613. doi:10.1007/s00415-012-6686-023076827
  • Ellekjaer H, Holmen J, Krüger O, Terent A. Identification of incident stroke in Norway: hospital discharge data compared with a population-based stroke register. Stroke. 1999;30(1):56–60. doi:10.1161/01.STR.30.1.569880388
  • Ho KKL, Pinsky JL, Kannel WB, Levy D. The epidemiology of heart failure: the Framingham Study. J Am Coll Cardiol. 1993;22(SUPPL. 4):6–43. doi:10.1016/0735-1097(93)90455-A8509564
  • Carlson KJ, Lee DCS, Goroll AH, Leahy M, Johnson RA. An analysis of physicians’ reasons for prescribing long-term digitalis therapy in outpatients. J Chronic Dis. 1985;38(9):733–739. doi:10.1016/0021-9681(85)90115-84030999
  • Yancy CW, Jessup M, Bozkurt B, et al. 2013 ACCF/AHA guideline for the management of heart failure: a report of the American College Of Cardiology Foundation/American Heart Association Task Force On Practice Guidelines. Circulation. 2013;128(16). doi:10.1161/CIR.0b013e31829e8776
  • Tunstall-Pedoe H, Kuulasmaa K, Amouyel P, Arveiler D, Rajakangas AM, Pajak A. Myocardial infarction and coronary deaths in the World Health Organization MONICA project: registration procedures, event rates, and case-fatality rates in 38 populations from 21 countries in four continents. Circulation. 1994;90(1):583–612. doi:10.1161/01.cir.90.1.5838026046
  • Thygesen K, Alpert JS, White HD. Universal definition of myocardial infarction. Circulation. 2007;116(22):2634–2653. doi:10.1161/CIRCULATIONAHA.107.18739717951284
  • Thygesen K, Alpert JS, Jaffe AS, Simoons ML, Chaitman BR, White HD. Third universal definition of myocardial infarction. Circulation. 2012;126(16):2020–2035. doi:10.1161/CIR.0b013e31826e105822923432
  • Aho K, Harmsen P, Hatano S, Marquardsen J, Smirnov VE, Strasser T. Cerebrovascular disease in the community: results of a WHO collaborative study. Bull World Health Organ. 1980;58(1):113–130.6966542
  • Thorvaldsen P, Kuulasmaa K, Rajakangas A-M, Rastenyte D, Sarti C, Wilhelmsen L. Stroke trends in the WHO MONICA project. Stroke. 1997;28(3):500–506. doi:10.1161/01.STR.28.3.5009056602
  • Brenner H, Gefeller O. Variation of sensitivity, specificity, likelihood ratios and predictive values with disease prevalence. Stat Med. 1997;16(9):981–991. doi:10.1002/(SICI)1097-0258(19970515)16:9<981::AID-SIM510>3.0.CO;2-N9160493
  • Yao RJR, Andrade JG, Deyell MW, Jackson H, McAlister FA, Hawkins NM. Sensitivity, specificity, positive and negative predictive values of identifying atrial fibrillation using administrative data: a systematic review and meta-analysis. Clin Epidemiol. 2019;11:753–767. doi:10.2147/CLEP.S20626731933524
  • McGuinness LA, Warren-Gash C, Moorhouse LR, Thomas SL. The validity of dementia diagnoses in routinely collected electronic health records in the United Kingdom: a systematic review. Pharmacoepidemiol Drug Saf. 2019;28(2):244–255. doi:10.1002/pds.466930667114
  • Nissen F, Quint JK, Morales DR, Douglas IJ. How to validate a diagnosis recorded in electronic health records. Breathe. 2019;15(1):64–68. doi:10.1183/20734735.0344-201830838062
  • Hemingway H, Asselbergs FW, Danesh J, et al. Big data from electronic health records for early and late translational cardiovascular research: challenges and potential. Eur Heart J. 2018;39(16):1481–1495. doi:10.1093/eurheartj/ehx48729370377
  • Banerjee A, Pasea L, Harris S, et al. Estimating excess 1-year mortality from COVID-19 according to underlying conditions and age in England: a rapid analysis using NHS health records in 3.8 million adults. medRxiv. 2020. doi:10.1101/2020.03.22.20040287