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健康计划管理数据库能够有效地识别严重肌病和横纹肌溶解症。

Health plan administrative databases can efficiently identify serious myopathy and rhabdomyolysis.

作者信息

Andrade Susan E, Graham David J, Staffa Judy A, Schech Stephanie D, Shatin Deborah, La Grenade Lois, Goodman Michael J, Platt Richard, Gurwitz Jerry H, Chan K Arnold

机构信息

Meyers Primary Care Institute-Fallon Foundation and University of Massachusetts Medical School, 630 Plantation Street, Worcester, MA 01605, USA.

出版信息

J Clin Epidemiol. 2005 Feb;58(2):171-4. doi: 10.1016/j.jclinepi.2004.10.004.

Abstract

OBJECTIVE

We evaluated the positive predictive values (PPVs) of specific criteria based upon International Classification of Diseases, 9th revision (ICD-9-CM) codes documented in health plan administrative databases for identification of cases of serious myopathy and rhabdomyolysis.

STUDY DESIGN AND SETTING

We conducted a retrospective study among patients enrolled in 11 geographically dispersed managed care organizations. Cohorts of new users of specific statins and fibrates were identified by selecting patients with an initial dispensing of the drug during the period 1 January 1998 to 30 June 2001. Potential cases of serious myopathy or rhabdomyolysis were identified using specific criteria based upon ICD-9-CM codes suggesting a muscle disorder or acute renal failure.

RESULTS

A total of 194 hospitalizations meeting the criteria for chart review selection were identified among 206,732 new users of statins and 15,485 new users of fibrates. Overall, 31 cases of serious, clinically important myopathy or rhabdomyolysis (18%) were confirmed through chart review. Of these, 26 (84%) had a claim including codes for myoglobinuria (ICD-9-CM 791.3) or other disorders of muscle, ligament, and fascia (ICD-9-CM 728.89). A PPV of 74% (26 of 35 patients meeting criteria) was found for a composite definition that included (1) a primary or secondary discharge code for myoglobinuria, (2) a primary code for "other disorders of muscle," or (3) a secondary code for "other disorders of muscle" accompanied by a claim for a CK test within 7 days of hospitalization or a discharge code for acute renal failure.

CONCLUSION

For rare adverse events such as serious myopathy or rhabdomyolysis, large population-based databases that include diagnosis and laboratory test claims data can facilitate epidemiologic research.

摘要

目的

我们基于健康计划管理数据库中记录的国际疾病分类第九版(ICD - 9 - CM)编码,评估了用于识别严重肌病和横纹肌溶解症病例的特定标准的阳性预测值(PPV)。

研究设计与背景

我们对11个地理位置分散的管理式医疗组织中的患者进行了一项回顾性研究。通过选择1998年1月1日至2001年6月30日期间首次配药的患者,确定了特定他汀类药物和贝特类药物的新使用者队列。使用基于ICD - 9 - CM编码提示肌肉疾病或急性肾衰竭的特定标准,识别严重肌病或横纹肌溶解症的潜在病例。

结果

在206,732名他汀类药物新使用者和15,485名贝特类药物新使用者中,共确定了194例符合图表审查选择标准的住院病例。总体而言,通过图表审查确认了31例严重的、具有临床重要性的肌病或横纹肌溶解症(18%)。其中,26例(84%)的索赔记录包括肌红蛋白尿编码(ICD - 9 - CM 791.3)或其他肌肉、韧带和筋膜疾病编码(ICD - 9 - CM 728.89)。对于一个综合定义,发现其阳性预测值为74%(符合标准的35名患者中的26名),该综合定义包括:(1)肌红蛋白尿的主要或次要出院编码;(2)“其他肌肉疾病”的主要编码;或(3)“其他肌肉疾病”的次要编码,同时伴有住院7天内肌酸激酶(CK)检测的索赔记录或急性肾衰竭的出院编码。

结论

对于严重肌病或横纹肌溶解症等罕见不良事件,包含诊断和实验室检测索赔数据的大型人群数据库有助于开展流行病学研究。

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