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.

Variations in the validity of hospital discharge diagnoses can complicate the assessment of trends in incidence of acute myocardial infarction (AMI). To clarify trends in the validity of discharge codes, the authors compared event classification based on published Atherosclerosis Risk in Communities (ARIC) Study criteria with the presence or absence of an International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) hospital discharge code for AMI (code 410). Between 1987 and 2000, 154,836 coronary heart disease events involving hospitalization in the four ARIC communities had ICD-9-CM codes screened for AMI. The sensitivity of ICD-9-CM code 410 for classifying AMI in men (sensitivity = 0.65, 95% confidence interval (CI): 0.63, 0.66) was statistically significantly greater than that found for women (sensitivity = 0.60, 95% CI: 0.58, 0.62) and was greater in Whites (sensitivity = 0.67, 95% CI: 0.65, 0.68) than in Blacks (sensitivity = 0.50, 95% CI: 0.47, 0.53). The ethnic difference was related to a greater frequency of hypertensive heart disease and congestive heart failure codes encompassing AMI among Blacks as compared with Whites. The authors found that although the validity of ICD-9-CM code 410 to identify AMI was generally stable from 1987 through 2000, differences between Blacks and Whites and across geographic locations support investment in validation efforts in ongoing surveillance studies.

[1]  V. Salomaa,et al.  The validity of hospital discharge register data on coronary heart disease in Finland , 1997, European Journal of Epidemiology.

[2]  H. Tunstall-Pedoe,et al.  Definitions for Acute Coronary Heart Disease in Epidemiology and Clinical Research Studies , 2003 .

[3]  Peter C Austin,et al.  A multicenter study of the coding accuracy of hospital discharge administrative data for patients admitted to cardiac care units in Ontario. , 2002, American heart journal.

[4]  R. German,et al.  Sensitivity and Predictive Value Positive Measurements for Public Health Surveillance Systems , 2000, Epidemiology.

[5]  A. Folsom,et al.  Trends in the incidence of myocardial infarction and in mortality due to coronary heart disease, 1987 to 1994. , 1998, The New England journal of medicine.

[6]  C D Naylor,et al.  Towards improved coding of acute myocardial infarction in hospital discharge abstracts: a pilot project. , 1997, The Canadian journal of cardiology.

[7]  H Tunstall-Pedoe,et al.  Validity of ICD code 410 to identify hospital admission for myocardial infarction. , 1997, International Journal of Epidemiology.

[8]  L. Chambless,et al.  Gender, racial, and geographic differences in the performance of cardiac diagnostic and therapeutic procedures for hospitalized acute myocardial infarction in four states. , 1997, The American journal of cardiology.

[9]  D. Labarthe,et al.  An assessment of the validity of ICD Code 410 to identify hospital admissions for myocardial infarction: The Corpus Christi Heart Project. , 1996, International journal of epidemiology.

[10]  A. Folsom,et al.  Recent trends in acute coronary heart disease--mortality, morbidity, medical care, and risk factors. The Minnesota Heart Survey Investigators. , 1996, The New England journal of medicine.

[11]  A. Folsom,et al.  Community surveillance of coronary heart disease in the Atherosclerosis Risk in Communities (ARIC) Study: methods and initial two years' experience. , 1996, Journal of clinical epidemiology.

[12]  V. Salomaa,et al.  Hospital discharge register data in the assessment of trends in acute myocardial infarction. FINMONICA AMI Register Study Team. , 1995, Annals of medicine.

[13]  A. Dobson,et al.  The accuracy of hospital records and death certificates for acute myocardial infarction. , 1995, Australian and New Zealand journal of medicine.

[14]  J. Tuomilehto,et al.  Diagnosis of acute myocardial infarction by MONICA and FINMONICA diagnostic criteria in comparison with hospital discharge diagnosis. , 1994, Journal of clinical epidemiology.

[15]  J. Ranstam,et al.  Validity of register data on acute myocardial infarction and acute stroke , 1993, Scandinavian journal of social medicine.

[16]  C D Naylor,et al.  False-positive coding for acute myocardial infarction on hospital discharge records: chart audit results from a tertiary centre. , 1990, The Canadian journal of cardiology.

[17]  H. Blackburn,et al.  The effect of the number of electrocardiograms analyzed on cardiovascular disease surveillance: the Minnesota Heart Survey (MHS). , 1990, Journal of clinical epidemiology.

[18]  D. Jacobs,et al.  Diagnostic criteria for hospitalized acute myocardial infarction: the Minnesota experience. , 1989, International journal of epidemiology.

[19]  The diagnostic coding of myocardial infarction. , 1989, Annals of internal medicine.

[20]  N. Vogelzang,et al.  The sand-trap hazard in magnetic resonance imaging. , 1989, Annals of internal medicine.

[21]  L I Iezzoni,et al.  Coding of acute myocardial infarction. Clinical and policy implications. , 1988, Annals of internal medicine.

[22]  A. Dobson,et al.  Ischemic heart disease in the Hunter Region of New South Wales, Australia, 1979-1985. , 1988, American journal of epidemiology.

[23]  R. G. Parrish,et al.  Guidelines for evaluating surveillance systems. , 1988, MMWR supplements.

[24]  R. Beaglehole,et al.  Validation of coronary heart disease hospital discharge data. , 1987, Australian and New Zealand journal of medicine.

[25]  M. Stern,et al.  Miscoding of hospital discharges as acute myocardial infarction: implications for surveillance programs aimed at elucidating trends in coronary artery disease. , 1984, The American journal of cardiology.

[26]  Stephen E. Fienberg,et al.  Discrete Multivariate Analysis: Theory and Practice , 1976 .

[27]  H. Fredin,et al.  Sequelae of Accidental Near-drowning in Childhood , 1973, Scandinavian journal of social medicine.