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预测慢性乙型肝炎患者肝硬化的无创模型。

Noninvasive models to predict liver cirrhosis in patients with chronic hepatitis B.

作者信息

Kim Beom Kyung, Kim Sung Ae, Park Young Nyun, Cheong Jae Youn, Kim Hwa Sook, Park Jun Yong, Cho Sung Won, Han Kwang-Hyub, Chon Chae Yoon, Moon Young Myoung, Ahn Sang Hoon

机构信息

Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea.

出版信息

Liver Int. 2007 Sep;27(7):969-76. doi: 10.1111/j.1478-3231.2007.01519.x.

Abstract

OBJECTIVES

Few noninvasive models of chronic hepatitis B (CHB) to predict liver cirrhosis have been studied. The aim of the current study is to investigate the diagnostic accuracy of two simple novel models of spleen-platelet ratio index (SPRI) and age-spleen-platelet ratio index (ASPRI) in patients with CHB.

PATIENTS AND METHODS

A total of 346 consecutive treatment-naïve patients with CHB were retrospectively studied. The aspartate to alanine aminotransferase ratio (AAR), age-platelet index (API), aspartate aminotransferase to platelet ratio index (APRI), SPRI, and ASPRI were compared with liver histology.

RESULTS

AAR, APRI, SPRI, API, and ASPRI correlated significantly to fibrosis stage (all P<0.001). The diagnostic accuracy of ASPRI was the highest among five tests for prediction of cirrhosis (area under receiver operating characteristic curve, AUROC=0.893). Using a cutoff score of ASPRI>12, the presence of cirrhosis could be correctly identified with a high accuracy (96.3% positive predictive value) in 35 (10.1%) of 346 patients. Similarly, using a cutoff of <5, the presence of cirrhosis could be totally excluded with 100% of negative predictive value in 120 (34.7%) of 346 patients.

CONCLUSION

ASPRI was accurate in predicting cirrhosis and screening with ASPRI has the potential to reduce the number of liver biopsies in CHB patients.

摘要

目的

很少有研究针对慢性乙型肝炎(CHB)预测肝硬化的非侵入性模型。本研究旨在探讨两种简单的新模型——脾血小板比值指数(SPRI)和年龄脾血小板比值指数(ASPRI)在CHB患者中的诊断准确性。

患者与方法

回顾性研究了346例连续未接受过治疗的CHB患者。将天冬氨酸与丙氨酸转氨酶比值(AAR)、年龄血小板指数(API)、天冬氨酸转氨酶与血小板比值指数(APRI)、SPRI和ASPRI与肝组织学进行比较。

结果

AAR、APRI、SPRI、API和ASPRI与纤维化分期显著相关(均P<0.001)。在预测肝硬化的五项检测中,ASPRI的诊断准确性最高(受试者操作特征曲线下面积,AUROC=0.893)。使用ASPRI>12的临界值,在346例患者中的35例(10.1%)中可以高精度地正确识别肝硬化的存在(阳性预测值为96.3%)。同样,使用<5的临界值,在346例患者中的120例(34.7%)中可以100%的阴性预测值完全排除肝硬化的存在。

结论

ASPRI在预测肝硬化方面准确,使用ASPRI进行筛查有可能减少CHB患者的肝活检数量。

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