Literature DB >> 15583364

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.

Wayne D Rosamond1, Lloyd E Chambless, Paul D Sorlie, Erin M Bell, Shimon Weitzman, J Clinton Smith, Aaron R Folsom.   

Abstract

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.

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Year:  2004        PMID: 15583364     DOI: 10.1093/aje/kwh341

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  41 in total

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2.  Feasibility of determining myocardial infarction type from medical record review.

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3.  Myocardial infarction risk among patients with fractures receiving bisphosphonates.

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Journal:  Mayo Clin Proc       Date:  2014-01       Impact factor: 7.616

4.  Position matters: Validation of medicare hospital claims for myocardial infarction against medical record review in the atherosclerosis risk in communities study.

Authors:  Montika Bush; Til Stürmer; Sally C Stearns; Ross J Simpson; M Alan Brookhart; Wayne Rosamond; Anna M Kucharska-Newton
Journal:  Pharmacoepidemiol Drug Saf       Date:  2018-02-06       Impact factor: 2.890

5.  The changing epidemiology of myocardial infarction in Olmsted County, Minnesota, 1995-2012.

Authors:  Yariv Gerber; Susan A Weston; Ruoxiang Jiang; Véronique L Roger
Journal:  Am J Med       Date:  2014-09-28       Impact factor: 4.965

6.  Twenty-two-year trends in incidence of myocardial infarction, coronary heart disease mortality, and case fatality in 4 US communities, 1987-2008.

Authors:  Wayne D Rosamond; Lloyd E Chambless; Gerardo Heiss; Thomas H Mosley; Josef Coresh; Eric Whitsel; Lynne Wagenknecht; Hanyu Ni; Aaron R Folsom
Journal:  Circulation       Date:  2012-03-15       Impact factor: 29.690

7.  Long-term trends in myocardial infarction incidence and case fatality in the National Heart, Lung, and Blood Institute's Framingham Heart study.

Authors:  Nisha I Parikh; Philimon Gona; Martin G Larson; Caroline S Fox; Emelia J Benjamin; Joanne M Murabito; Christopher J O'Donnell; Ramachandran S Vasan; Daniel Levy
Journal:  Circulation       Date:  2009-02-23       Impact factor: 29.690

8.  Failure of ICD-9-CM codes to identify patients with comorbid chronic kidney disease in diabetes.

Authors:  Elizabeth F O Kern; Miriam Maney; Donald R Miller; Chin-Lin Tseng; Anjali Tiwari; Mangala Rajan; David Aron; Leonard Pogach
Journal:  Health Serv Res       Date:  2006-04       Impact factor: 3.402

9.  Medication, reperfusion therapy and survival in a community-based setting of hospitalised myocardial infarction.

Authors:  Emily C O'Brien; Kathryn M Rose; Chirayath M Suchindran; Til Stürmer; Patricia P Chang; Lloyd Chambless; Cameron S Guild; Wayne D Rosamond
Journal:  Heart       Date:  2013-03-02       Impact factor: 5.994

10.  Surveillance of the short-term impact of fine particle air pollution on cardiovascular disease hospitalizations in New York State.

Authors:  Valerie B Haley; Thomas O Talbot; Henry D Felton
Journal:  Environ Health       Date:  2009-09-22       Impact factor: 5.984

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