The use of automated data to identify complications and comorbidities of diabetes: A validation study
The use of automated data to identify complications and comorbidities of diabetes: A validation study
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DOI：
10.1016/s0895-4356(98)00161-9
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发表时间：
1999-03-01
影响因子：
7.2
通讯作者：
Davis, C
中科院分区：
文献类型：
--
作者：
Newton, KM;Wagner, EH;Davis, C
我们使用国际疾病分类，第9版，临床修改和现行程序术语代码评估了管理数据识别糖尿病并发症和合并症的准确性。从1993年1月1日至1995年12月31日，回顾了471例随机选择的糖尿病患者的并发症记录;图表数据用于验证自动化数据。在数据库日期+/-60天内确定的病历诊断确定的最高灵敏度并发症为心肌梗死（95.2%）;截肢（94.4%）;缺血性心脏病（90.3%）;卒中（91.2%）;骨髓炎（79.2%）;视网膜脱离、玻璃体出血和玻璃体切除术（73.5%）。除了截肢（82.9%），当基于数据库日期+/-60天内确定的诊断时，阳性预测值较低，但随着时间限制的放宽而增加，以包括1993-1995年期间任何时间的病情确认：溃疡视网膜脱离、玻璃体积血和玻璃体切除术（79.8%）。自动化数据对于确定某些糖尿病并发症的潜在病例是有用的，但当它们被用于研究目的时，需要确证性证据。临床流行病学杂志52;3：199-207，1999年。(C)Elsevier Science Inc.
We evaluated the accuracy of administrative data for identifying complications and comorbidities of diabetes using International Classification of Diseases, 9th edition, Clinical Modification and Current Procedural Terminology codes. The records of 471 randomly selected diabetic patients were reviewed for complications from January 1, 1993 to December 31, 1995; chart data served to validate automated data. The complications with the highest sensitivity determined by a diagnosis in the medical records identified within +/-60 days of the database date were myocardial infarction (95.2%); amputation (94.4%); ischemic heart disease (90.3%); stroke (91.2%); osteomyelitis (79.2%); and retinal detachment, vitreous hemorrhage, and vitrectomy (73.5%). With the exception of amputation (82.9%), positive predictive value was low when based on a diagnosis identified within +/-60 days of the database dare but increased with relaxation of the time constraints to include confirmation of the condition at any time during 1993-1995: ulcers (88.5%); amputation (85.4%); and retinal detachment, vitreous hemorrhage and vitrectomy (79.8%). Automated data are useful for ascertaining potential cases of some diabetic complications but require confirmatory evidence when they are to be used for research purposes. J CLIN EPIDEMIOL 52;3:199-207, 1999. (C) Elsevier Science Inc.