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ORIGINAL RESEARCH

Does a Code for Acute Myocardial Infarction Mean the Same in All Norwegian Hospitals? A Likelihood Approach to a Medical Record Review

ORCID Icon, &
Pages 1155-1165 | Received 30 Apr 2022, Accepted 24 Sep 2022, Published online: 13 Oct 2022

References

  • Haug C. Forskning uten filter [Research without filter]. Tidsskr nor Laegeforen. 2005;125(23):3243. Norwegian.
  • Lilford R, Pronovost P. Using hospital mortality rates to judge hospital performance: a bad idea that just won’t go away. Br Med J. 2010;340.
  • McKee M. Hospital standardised mortality rates should not be used to make interhospital comparisons. BMJ. 2013;347:f6155. doi:10.1136/bmj.f6155
  • Gestel YR, Lemmens VE, Lingsma HF. The hospital standardized mortality ratio fallacy: a narrative review. Med Care. 2012;50(8):662–667. doi:10.1097/MLR.0b013e31824ebd9f
  • Coombes R. Experts disagree about usefulness of hospital mortality data. BMJ. 2014;349:g5658. doi:10.1136/bmj.g5658
  • Ranstam J, Wagner P, Robertsson O, Lidgren L. Health-care quality registers: outcome-orientated ranking of hospitals is unreliable. J Bone Joint Surg Br. 2008;90(12):1558–1561. doi:10.1302/0301-620X.90B12.21172
  • Bosch WF, Silberbusch J, Roozendaal KJ, Wagner C. Variatie in codering patientengegevens beinvloedt gestandaardiseerd ziekenhuissterftecijfer (HSMR). [Variations in patient data coding affect hospital standardized mortality ratio (HSMR)]. Ned Tijdschr Geneeskd. 2010;154:A1189. Dutch.
  • Ridgeway G, Norgaard M, Rasmussen TB, et al. Benchmarking Danish hospitals on mortality and readmission rates after cardiovascular admission. Clin Epidemiol. 2019;11:67–80. doi:10.2147/CLEP.S189263
  • Chapman AR, Adamson PD, Mills NL. Assessment and classification of patients with myocardial injury and infarction in clinical practice. Heart. 2017;103(1):10–18. doi:10.1136/heartjnl-2016-309530
  • Thygesen K, Alpert JS, Jaffe AS, et al. Fourth universal definition of myocardial infarction (2018). Circulation. 2018;138(20):e618–e651. doi:10.1161/CIR.0000000000000617
  • Sandoval Y, Smith SW, Sexter A, Schulz K, Apple FS. Use of objective evidence of myocardial ischemia to facilitate the diagnostic and prognostic distinction between type 2 myocardial infarction and myocardial injury. Eur Heart J. 2020;9(1):62–69. doi:10.1177/2048872618787796
  • Chapman AR, Shah AS, Lee KK, et al. Long-term outcomes in patients with type 2 myocardial infarction and myocardial injury. Circulation. 2018;137(12):1236–1245. doi:10.1161/CIRCULATIONAHA.117.031806
  • DeFilippis AP, Chapman AR, Mills NL, et al. Assessment and treatment of patients with type 2 myocardial infarction and acute nonischemic myocardial injury. Circulation. 2019;140(20):1661–1678. doi:10.1161/CIRCULATIONAHA.119.040631
  • 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)00591-7
  • Pajunen P, Paakkonen R, Juolevi A, et al. Trends in fatal and non-fatal coronary heart disease events in Finland during 1991-2001. Scand Cardiovasc J. 2004;38(6):340–344. doi:10.1080/14017430410010996
  • 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.2008.03.005
  • 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. doi:10.1136/bmjopen-2013-002862
  • 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
  • Govatsmark RES, Janszky I, Slordahl SA, et al. Completeness and correctness of acute myocardial infarction diagnoses in a medical quality register and an administrative health register. Scand J Public Health. 2020;48(1):5–13. doi:10.1177/1403494818803256
  • Varmdal T, Mathiesen EB, Wilsgaard T, et al. Validating acute myocardial infarction diagnoses in national health registers for use as endpoint in research: the Tromsø study. Clin Epidemiol. 2021;13:675–682. doi:10.2147/CLEP.S321293
  • McCormick N, Lacaille D, Bhole V, Avina-Zubieta JA. Validity of myocardial infarction diagnoses in administrative databases: a systematic review. PLoS One. 2014;9(3):e92286. doi:10.1371/journal.pone.0092286
  • 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.2015.03.075
  • Rosamond WD, Chambless LE, Sorlie PD, et al. Trends in the sensitivity, positive predictive value, false-positive rate, and comparability ratio of hospital discharge diagnosis codes for acute myocardial infarction in four US communities, 1987-2000. Am J Epidemiol. 2004;160(12):1137–1146. doi:10.1093/aje/kwh341
  • Grimes DA, Schulz KF. Refining clinical diagnosis with likelihood ratios. Lancet. 2005;365(9469):1500–1505. doi:10.1016/S0140-6736(05)66422-7
  • Apple FS. Counterpoint: standardization of cardiac troponin I assays will not occur in my lifetime. Clin Chem. 2012;58(1):169–171. doi:10.1373/clinchem.2011.166165
  • Hassani S, Lindman AS, Kristoffersen DT, Tomic O, Helgeland J. 30-day survival probabilities as a quality indicator for Norwegian hospitals: data management and analysis. PLoS One. 2015;10(9):e0136547. doi:10.1371/journal.pone.0136547
  • Helgeland J, Kristoffersen DT, Skyrud KD, Lindman AS. Variation between hospitals with regard to diagnostic practice, coding accuracy, and case-mix. A retrospective validation study of administrative data versus medical records for estimating 30-day mortality after Hip fracture. PLoS One. 2016;11(5):e0156075. doi:10.1371/journal.pone.0156075
  • McLachlan G, Peel D. Finite Mixture Models. Wiley; 2000.
  • Chun AA, McGee SR. Bedside diagnosis of coronary artery disease: a systematic review. Am J Med. 2004;117(5):334–343. doi:10.1016/j.amjmed.2004.03.021
  • DerSimonian R, Laird N. Meta-analysis in clinical trials. Control Clin Trials. 1986;7(3):177–188. doi:10.1016/0197-2456(86)90046-2
  • Björck L, Nielsen S, Jernberg T, Zverkova-Sandström T, Giang KW, Rosengren A. Absence of chest pain and long-term mortality in patients with acute myocardial infarction. Open Heart. 2018;5(2):e000909. doi:10.1136/openhrt-2018-000909
  • Canto JG, Rogers WJ, Goldberg RJ, et al. Association of age and sex with myocardial infarction symptom presentation and in-hospital mortality. JAMA. 2012;307(8):813–822. doi:10.1001/jama.2012.199
  • Herlitz J, Starke M, Hansson E, Ringvall E, Karlson BW, Waagstein L. Early identification of patients with an acute coronary syndrome as assessed by dispatchers and the ambulance crew. Am J Emerg Med. 2002;20(3):196–201. doi:10.1053/ajem.2002.33003
  • Pope JH, Ruthazer R, Beshansky JR, Griffith JL, Selker HP. Clinical features of emergency department patients presenting with symptoms suggestive of acute cardiac ischemia: a multicenter study. J Thromb Thrombolysis. 1998;6(1):63–74. doi:10.1023/A:1008876322599
  • Pedersen CK, Stengaard C, Friesgaard K, et al. Chest pain in the ambulance; prevalence, causes and outcome-A retrospective cohort study. Scand J Trauma Resusc Emerg Med. 2019;27(1):1–10. doi:10.1186/s13049-019-0659-6
  • Widimský P, Anděl M. Prevalence of coronary atherosclerosis in asymptomatic population. Eur Heart J. 2000;21(1):13–14. doi:10.1053/euhj.1999.1889
  • Kang WY, Jeong MH, Ahn YK, et al. Are patients with angiographically near-normal coronary arteries who present as acute myocardial infarction actually safe? Int J Cardiol. 2011;146(2):207–212. doi:10.1016/j.ijcard.2009.07.001
  • Larsen AI, Galbraith PD, Ghali WA, et al. Characteristics and outcomes of patients with acute myocardial infarction and angiographically normal coronary arteries. Am J Cardiol. 2005;95(2):261–263. doi:10.1016/j.amjcard.2004.09.014
  • Gehrie ER, Reynolds HR, Chen AY, et al. Characterization and outcomes of women and men with non- ST-segment elevation myocardial infarction and nonobstructive coronary artery disease: results from the can rapid risk stratification of unstable angina patients suppress adverse outcomes with early implementation of the ACC/AHA guidelines (CRUSADE) quality improvement initiative. Am Heart J. 2009;158(4):688–694.
  • Cardinaels EP, Mingels AM, Jacobs LH, Meex SJ, Bekers O. A comprehensive review of upper reference limits reported for (high-)sensitivity cardiac troponin assays: the challenges that lie ahead. Clin Chem Lab Med. 2012;50(5):791–806. doi:10.1515/cclm-2011-0895
  • Hickman PE, Lindahl B, Cullen L, Koerbin G, Tate J, Potter JM. Decision limits and the reporting of cardiac troponin: meeting the needs of both the cardiologist and the ED physician. Crit Rev Clin Lab Sci. 2015;52(1):28–44. doi:10.3109/10408363.2014.972497
  • Aitchison J, Shen SM. Logistic-normal distributions: some properties and uses. Biometrika. 1980;67(2):261–272. doi:10.2307/2335470