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• W2012487908 abstract "Objectives: We sought to determine which ICD-9-CM codes in Medicare Part A data identify cardiovascular and stroke risk factors. Design and Participants: This was a cross-sectional study comparing ICD-9-CM data to structured medical record review from 23,657 Medicare beneficiaries aged 20 to 105 years who had atrial fibrillation. Measurements: Quality improvement organizations used standardized abstraction instruments to determine the presence of 9 cardiovascular and stroke risk factors. Using the chart abstractions as the gold standard, we assessed the accuracy of ICD-9-CM codes to identify these risk factors. Main Results: ICD-9-CM codes for all risk factors had high specificity (>0.95) and low sensitivity (≤0.76). The positive predictive values were greater than 0.95 for 5 common, chronic risk factors—coronary artery disease, stroke/transient ischemic attack, heart failure, diabetes, and hypertension. The sixth common risk factor, valvular heart disease, had a positive predictive value of 0.93. For all 6 common risk factors, negative predictive values ranged from 0.52 to 0.91. The rare risk factors—arterial peripheral embolus, intracranial hemorrhage, and deep venous thrombosis—had high negative predictive value (≥0.98) but moderate positive predictive values (range, 0.54–0.77) in this population. Conclusions: Using ICD-9-CM codes alone, heart failure, coronary artery disease, diabetes, hypertension, and stroke can be ruled in but not necessarily ruled out. Where feasible, review of additional data (eg, physician notes or imaging studies) should be used to confirm the diagnosis of valvular disease, arterial peripheral embolus, intracranial hemorrhage, and deep venous thrombosis." @default.
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• W2012487908 date "2005-05-01" @default.
• W2012487908 modified "2023-10-12" @default.
• W2012487908 title "Accuracy of ICD-9-CM Codes for Identifying Cardiovascular and Stroke Risk Factors" @default.
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• W2012487908 doi "https://doi.org/10.1097/01.mlr.0000160417.39497.a9" @default.
• W2012487908 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/15838413" @default.
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