Platelet count as a screening tool for compensated cirrhosis in chronic viral hepatitis.

Pallavi Surana, Julian Hercun, Varun Takyar, David E Kleiner, Theo Heller, Christopher Koh
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引用次数: 5

Abstract

Background: Simple tools for clinicians to identify cirrhosis in patients with chronic viral hepatitis are medically necessary for treatment initiation, hepatocellular cancer screening and additional medical management.

Aim: To determine whether platelets or other laboratory markers can be used as a simple method to identify the development of cirrhosis.

Methods: Clinical, biochemical and histologic laboratory data from treatment naive chronic viral hepatitis B (HBV), C (HCV), and D (HDV) patients at the NIH Clinical Center from 1985-2019 were collected and subjects were randomly divided into training and validation cohorts. Laboratory markers were tested for their ability to identify cirrhosis (Ishak ≥ 5) using receiver operating characteristic curves and an optimal cut-off was calculated within the training cohort. The final cut-off was tested within the validation cohort.

Results: Overall, 1027 subjects (HCV = 701, HBV = 240 and HDV = 86), 66% male, with mean (standard deviation) age of 45 (11) years were evaluated. Within the training cohort (n = 715), platelets performed the best at identifying cirrhosis compared to other laboratory markers [Area Under the Receiver Operating Characteristics curve (AUROC) = 0.86 (0.82-0.90)] and sensitivity 77%, specificity 83%, positive predictive value 44%, and negative predictive value 95%. All other tested markers had AUROCs ≤ 0.77. The optimal platelet cut-off for detecting cirrhosis in the training cohort was 143 × 109/L and it performed equally well in the validation cohort (n = 312) [AUROC = 0.85 (0.76-0.94)].

Conclusion: The use of platelet counts should be considered to identify cirrhosis and ensure optimal care and management of patients with chronic viral hepatitis.

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血小板计数作为慢性病毒性肝炎代偿性肝硬化的筛查工具。
背景:临床医生识别慢性病毒性肝炎患者肝硬化的简单工具在治疗开始、肝细胞癌筛查和其他医疗管理中是必要的。目的:探讨血小板或其他实验室指标能否作为判断肝硬化发展的简便方法。方法:收集1985-2019年在NIH临床中心接受治疗的初治型慢性乙型肝炎(HBV)、丙型肝炎(HCV)和丁型肝炎(HDV)患者的临床、生化和组织学实验室数据,并将受试者随机分为训练和验证队列。使用受试者工作特征曲线测试实验室标志物识别肝硬化的能力(Ishak≥5),并在训练队列中计算最佳截止值。在验证队列中测试最终的截止值。结果:共纳入1027例受试者(HCV = 701, HBV = 240, HDV = 86), 66%为男性,平均(标准差)年龄为45(11)岁。在训练队列中(n = 715),与其他实验室标志物相比,血小板在识别肝硬化方面表现最好[受试者工作特征曲线下面积(AUROC) = 0.86(0.82-0.90)],敏感性77%,特异性83%,阳性预测值44%,阴性预测值95%。其他检测指标的auroc均≤0.77。训练组检测肝硬化的最佳血小板临界值为143 × 109/L,验证组(n = 312)的结果同样理想[AUROC = 0.85(0.76-0.94)]。结论:应考虑血小板计数的使用来识别肝硬化,并确保对慢性病毒性肝炎患者的最佳护理和管理。
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