Validation of ICD-10 Consensus Code Set for Cirrhosis Detection Using Electronic Health Records in an Asian Population

IF 1.7 Q3 GASTROENTEROLOGY & HEPATOLOGY
JGH Open Pub Date : 2025-05-06 DOI:10.1002/jgh3.70156
Jason Pik-Eu Chang, Hong-Yi Lin, Pooi-Ling Loi, Jeanette Pei-Xuan Ng, Marianne De Roza, Rahul Kumar, Hiang-Keat Tan, Chanda Kendra Ho, Wei-Quan Teo, Amber Hwa Hwa Chung, Prema Raj
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Abstract

Background

Systematic identification of patients with cirrhosis through electronic healthcare records (EHRs) using ICD-10 codes is essential for epidemiological research but is prone to discrepancies. We aim to validate and improve a recent consensus code set of nine ICD-10 codes to identify cirrhosis in a multi-ethnic Asian population.

Methods

We applied an initial broad algorithm of 25 ICD-10 codes related to cirrhosis and its complications to identify patients potentially with cirrhosis admitted to Singapore General Hospital in 2018 and confirmed true cirrhosis cases via manual EHR review. We evaluated the consensus code set's sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) in identifying cirrhosis cases. We examined alternative code sets to improve cirrhosis identification and validated them in another local hospital.

Results

One thousand, seven hundred thirty-three patients potentially with cirrhosis were identified, with 937 (54.1%) confirmed. The median age at diagnosis was 71 years (IQR: 64–78), with 65.6% males, 75.2%/8.8%/9.3%/6.7% Chinese/Indians/Malays/Others, and 56.7% Child-Pugh A. The main etiologies were chronic hepatitis B (29.5%) and metabolic dysfunction–associated steatotic liver disease (25.5%). The consensus code set demonstrated sensitivity/specificity/PPV/NPV of 76.1%/82.0%/83.3%/74.5%, respectively. We identified a set of 10 ICD-10 codes (SingHealth Chronic Liver Disease Registry [SoLiDaRity]-10) with sensitivity/specificity/PPV/NPV of 76.5%/84.8%/85.6%/75.4%, respectively, demonstrating an improved specificity versus the consensus code set (p = 0.001). External validation in another local hospital with 578 patients potentially with cirrhosis demonstrated improved sensitivity of the SoLiDaRity-10 code set versus the consensus code set (p = 0.033) (sensitivity/specificity/PPV/NPV: 78.0%/93.6%/94.1%/76.4% vs. 76.2%/93.6%/94.0%/75.0%, respectively).

Conclusions

While the consensus code set performs well in identifying patients with cirrhosis in a multi-ethnic Asian population, we propose the improved SoLiDaRity-10 code set.

Abstract Image

亚洲人群中使用电子健康记录检测肝硬化的ICD-10共识代码集的验证
背景:使用ICD-10代码通过电子医疗记录(EHRs)系统地识别肝硬化患者对流行病学研究至关重要,但容易出现差异。我们的目的是验证和改进最近共识的9个ICD-10代码集,以识别多种族亚洲人群中的肝硬化。方法:我们应用了25个与肝硬化及其并发症相关的ICD-10代码的初始广义算法,以识别2018年新加坡综合医院收治的潜在肝硬化患者,并通过人工EHR审查确认真正的肝硬化病例。我们评估了共识代码集在识别肝硬化病例方面的敏感性、特异性、阳性预测值(PPV)和阴性预测值(NPV)。我们检查了其他代码集,以改善肝硬化的识别,并在另一家当地医院进行了验证。结果发现肝硬化潜在患者1333例,确诊937例(54.1%)。诊断时的中位年龄为71岁(IQR: 64-78岁),男性占65.6%,华人/印度人/马来人/其他人群占75.2%/8.8%/9.3%/6.7%,Child-Pugh a占56.7%。主要病因为慢性乙型肝炎(29.5%)和代谢功能障碍相关的脂肪变性肝病(25.5%)。共识编码集的敏感性、特异性、PPV和NPV分别为76.1%、82.0%、83.3%和74.5%。我们确定了一组10个ICD-10代码(SingHealth Chronic Liver Disease Registry [SoLiDaRity]-10),其敏感性/特异性/PPV/NPV分别为76.5%/84.8%/85.6%/75.4%,与共识代码集相比,特异性有所提高(p = 0.001)。在另一家当地医院进行的578名潜在肝硬化患者的外部验证表明,与共识代码集相比,solidity -10代码集的敏感性有所提高(p = 0.033)(敏感性/特异性/PPV/NPV: 78.0%/93.6%/94.1%/76.4% vs. 76.2%/93.6%/94.0%/75.0%)。结论:虽然共识代码集在识别多种族亚洲人群中的肝硬化患者方面表现良好,但我们提出了改进的SoLiDaRity-10代码集。
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来源期刊
JGH Open
JGH Open GASTROENTEROLOGY & HEPATOLOGY-
CiteScore
3.40
自引率
0.00%
发文量
143
审稿时长
7 weeks
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