Uncovering the NAFLD burden in people living with HIV from high- and middle-income nations: a meta-analysis with a data gap from Subsaharan Africa

揭示高收入和中等收入国家艾滋病毒感染者中非酒精性脂肪性肝病 (NAFLD) 的负担:一项针对撒哈拉以南非洲数据缺失的荟萃分析

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Abstract

INTRODUCTION: Non-alcoholic fatty liver disease (NAFLD) has become a significant concern among people living with HIV (PLHIV), albeit its burden remains unclear. The primary objective of this systematic review (SR) and meta-analysis (MA) was to estimate the prevalence of NAFLD and significant fibrosis in PLHIV. The secondary objective was to determine the risk factors for NAFLD among PLHIV. METHODS: We searched MEDLINE and Scopus from inception to 30 December 2022 for peer-reviewed studies that included PLHIV and reported the prevalence of NAFLD. MA of proportions was used to estimate the pooled prevalence of NAFLD and significant fibrosis. MA of pre-calculated effect estimates examined risk factors for NAFLD in PLHIV. RESULTS: We included 24 articles published between 2009 and 2022, encompassing 6326 PLHIV. The pooled prevalence of NAFLD was 38% (95% CI: 31-45%) with high heterogeneity (I(2) = 96.3%). The pooled prevalence of significant fibrosis was 13% (95% CI: 8-18%) with high heterogeneity (I(2) = 92.09%). Subgroup analyses showed a NAFLD prevalence of 40% (95% CI: 24-57%) in the United States, 33% (95% CI: 31-36) in Asia, 42% (95% CI: 24-61%) in Europe and 33% (95% CI: 29-37) in South America. When stratifying by income level, NAFLD was 39% (95% CI: 31-48) prevalent in PLHIV from high-income economies and 34% in both upper-middle-income (95% CI: 31-37%) and lower-middle-income economies (95% CI: 28-41%). Higher body mass index (BMI) (OR = 1.32, 95% CI: 1.13-1.55; I(2) = 89.9%), increasing triglycerides (OR = 1.48, 95% CI: 1.22-2.79; I(2) = 27.2%) and dyslipidaemia (OR = 1.89, 95% CI: 1.32-2.71; I(2) = 15.5%) were all associated with higher risk-adjusted odds of NAFLD in PLHIV. DISCUSSION: The burden of NAFLD and significant fibrosis in PLHIV is significant. Therefore, targeted efforts to screen and diagnose NAFLD in this population are needed. Health services for PLHIV could include ways to target NAFLD risk factors, screen for liver disease and implement interventions to treat those with significant fibrosis or more advanced stages of liver disease. Taking no action to address NAFLD in PLHIV should not be an option. CONCLUSIONS: This SR and MA found a 38% NAFLD and 13% significant fibrosis prevalence in PLHIV. Increasing triglyceride levels, higher BMI values and dyslipidaemia were associated with higher risk-adjusted odds of NAFLD among PLHIV.

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