Validation of ICD-9 codes with a high positive predictive value for incident strokes resulting in hospitalization using Medicaid health data

被引:170
作者
Rournie, Christianne L. [1 ,2 ,3 ,4 ]
Mitchel, Edward [5 ]
Gideon, Patricia S. [5 ]
Varas-Lorenzo, Cristina [6 ]
Castellsague, Jordi [6 ]
Griffin, Marie R. [1 ,2 ,3 ,4 ,5 ]
机构
[1] Tennesse Valley Geriat Res Educ Clin Ctr GRECC, Tennesse Valley Healthcare Syst, Vet Adm, Nashville, TN 37212 USA
[2] HSR & D TREP, Ctr Patient Healthcare Behav, Nashville, TN USA
[3] Tennessee Valley VA Clin Res Training Ctr Excelle, Nashville, TN USA
[4] Vanderbilt Univ, Med Ctr, Dept Med, Nashville, TN USA
[5] Vanderbilt Univ, Med Ctr, Dept Prevent Med, Nashville, TN USA
[6] Pfizer Global Epidemiol Safety & Risk Management, Barcelona, Spain
关键词
stroke; epidemiology; stroke classification; anti-inflammatory agents; non-steroidal;
D O I
10.1002/pds.1518
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Purpose To validate ICD 9 codes with a high positive predictive value (PPV) for incident strokes. The study population consisted of Tennessee Medicaid enrollees aged from 50 to 84 years. Methods We identified all patients who were hospitalized with a discharge diagnosis of stroke between 1999 and 2003 using highly specific codes (ischemic stroke ICD 9-CM codes 433.x1, 434 [excluding 434.x0], or 436; intracerebral hemorrhage [431]; and subarachnoid hemorrhage [430]). We reviewed medical records of a systematic sample of 250 cohort members. We randomly selected 10-30 eligible records for review from hospitals with at least 10 stroke hospitalizations. Results We reviewed 231 charts (93% of total sampled), and 205 (89%) met study criteria for new outpatient stroke. Of the 205 confirmed new outpatient strokes, 196 had stroke listed as the primary discharge diagnosis (PPV = 96%). However, 46 (23%) of the 196 patients identified by the primary diagnosis also had a remote stroke history (recurrent stroke not incident). Thus the PPV of the primary discharge diagnosis for identifying incident stroke decreased to 74%. When we applied an algorithm that restricted our population to those with stroke as the primary diagnosis and excluded patients with any prior outpatient diagnosis of stroke, we identified incident stroke events with more precision (PPV = 80%). Conclusion The PPV of incident strokes was 80% using our strategy of primary discharge diagnosis and excluding prior outpatient diagnoses of stroke. Although an unknown percentage of incident strokes are missed, this group of proven incident stroke patients can be used for etiologic studies of medication exposures. Copyright (c) 2007 John Wiley & Sons, Ltd.
引用
收藏
页码:20 / 26
页数:7
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