Diagnostic value of serological scores for the detection of liver steatosis in people with HIV in low- and middle-income countries

血清学评分在低收入和中等收入国家艾滋病毒感染者肝脂肪变性检测中的诊断价值

阅读:3

Abstract

BACKGROUND: The accuracy of Fatty Liver Index (FLI) and Hepatic Steatosis Index (HSI) to predict liver steatosis in people with HIV (PWH) remains poorly studied in low- and middle-income countries (LMICs). We assessed their diagnostic performances in a multiregional cohort. METHODS: This cross-sectional analysis included PWH aged ≥40 years on antiretroviral therapy for ≥6 months at enrolment (2020-2023) in the Sentinel Research Network (SRN) of IeDEA consortium, across 12 HIV clinics in Asia-Pacific, Americas, and central, East, southern, and West Africa regions. Liver steatosis was defined based on Controlled Attenuation Parameter (CAP) ≥248 dB/m using vibration-controlled transient elastography. HSI was evaluated in the overall population, while FLI was assessed and compared to HSI in a subset of participants with available data. Model discrimination was assessed using area under the receiver operating characteristic curve (AUROC) and model calibration with calibration plots. A decision curve analysis was performed to compare their clinical utility. RESULTS: Among 2195 PWH assessed using CAP, 624 (28.4%) presented with liver steatosis. HSI showed acceptable discriminative ability (AUROC = 0.74) but poor calibration, generally overestimating the risk, except in Asia-Pacific region. FLI performed better than HSI (AUROC = 0.80, P < 0.001), and demonstrated good calibration except in sub-Saharan Africa. Both scores showed high clinical utility, with FLI demonstrating a greater net benefit when compared with HSI. CONCLUSION: FLI demonstrated higher accuracy and clinical utility within a subgroup of regions. However, the limited performance of FLI and HSI in sub-Saharan populations highlights the need to adapt existing tools or develop new predictive models tailored to regional contexts.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。