Lu Pei-Ting, Tsai Tsung-Hsien, Lai Chi-Chun, Chuang Lan-Hsin, Shao Shih-Chieh
Department of Ophthalmology, Keelung Chang Gung Memorial Hospital, Keelung, Taiwan.
College of Medicine, Chang Gung University, Taoyuan, Taiwan.
Clin Epidemiol. 2024 Apr 3;16:227-234. doi: 10.2147/CLEP.S443872. eCollection 2024.
Healthcare databases play a crucial role in improving our understanding of glaucoma epidemiology, which is the leading cause of irreversible blindness globally. However, the accuracy of diagnostic codes used in these databases to detect glaucoma is still uncertain.
To assess the accuracy of ICD-9-CM and ICD-10-CM codes in identifying patients with glaucoma, including two distinct subtypes, primary open-angle glaucoma (POAG) and primary angle-closure glaucoma (PACG).
We analyzed electronic medical records data from a 2% random sample of patients who newly underwent visual field examination in Taiwan's largest multi-institutional healthcare system from 2011 to 2020. The diagnosis of glaucoma was confirmed by two ophthalmologists, based on the glaucoma diagnostic criteria. The positive predictive value (PPV), negative predictive value (NPV), sensitivity and specificity for ICD-9-CM codes 365.1X and 365.2X, and ICD-10-CM codes H4010X, H4011X, H4012X, H4020X, H4021X, H4022X, H4023X and H4024X for glaucoma were calculated.
We randomly selected 821 patients (mean age: 56.9 years old; female: 50.5%) from the original cohort of 41,050 newly receiving visual field examination in the study. Among 464 cases with an ICD-9-CM glaucoma code, the sensitivity, specificity, PPV and NPV for glaucoma were 86.5, 96.5, 91.9, and 90.9%, respectively. Among 357 cases with an ICD-10-CM glaucoma code, the sensitivity, specificity, PPV and NPV for glaucoma were 87.0, 92.8, 92.2 and 87.9%, respectively. The accuracy of diagnostic codes to identify POAG and PACG remained consistent.
The diagnostic codes were highly reliable for identifying cases of glaucoma in Taiwan's routine healthcare practice. These results provide confidence when using ICD-9-CM and ICD-10-CM codes to define glaucoma cases in healthcare database research in Taiwan.
医疗保健数据库在增进我们对青光眼流行病学的理解方面发挥着关键作用,青光眼是全球不可逆失明的主要原因。然而,这些数据库中用于检测青光眼的诊断编码的准确性仍不确定。
评估国际疾病分类第九版临床修订本(ICD-9-CM)和国际疾病分类第十版临床修订本(ICD-10-CM)编码在识别青光眼患者(包括原发性开角型青光眼(POAG)和原发性闭角型青光眼(PACG)这两种不同亚型)方面的准确性。
我们分析了2011年至2020年台湾最大的多机构医疗保健系统中2%的新接受视野检查患者的电子病历数据。青光眼的诊断由两名眼科医生根据青光眼诊断标准确定。计算了ICD-9-CM编码365.1X和365.2X以及ICD-10-CM编码H4010X、H4011X、H4012X、H4020X、H4021X、H4022X、H4023X和H4024X用于青光眼的阳性预测值(PPV)、阴性预测值(NPV)、敏感性和特异性。
我们从该研究中最初接受视野检查的41,050名患者队列中随机选取了821名患者(平均年龄:56.9岁;女性:50.5%)。在464例有ICD-9-CM青光眼编码的病例中,青光眼的敏感性(86.5%)、特异性(96.5%)、PPV(91.9%)和NPV(90.9%)。在357例有ICD-10-CM青光眼编码的病例中,青光眼的敏感性(87.0%)、特异性(92.8%)、PPV(92.2%)和NPV(87.9%)。识别POAG和PACG的诊断编码准确性保持一致。
在台湾的常规医疗实践中,诊断编码在识别青光眼病例方面高度可靠。这些结果为在台湾医疗保健数据库研究中使用ICD-9-CM和ICD-10-CM编码定义青光眼病例提供了信心。