Qian Zhe, Wu Houji, Wu Yihua, Liao Wei, Yu Tao, Xu Xuwen, Peng Jie, Cai Shaohang
Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Intensive Care Unit, Sun Yat-sen University Cancer Center, Guangzhou, China.
Ther Adv Chronic Dis. 2022 Jun 21;13:20406223221102750. doi: 10.1177/20406223221102750. eCollection 2022.
The objective of this study was to evaluate the characteristics of high body mass index (BMI) and normal weight people living with HIV after antiretroviral therapy (ART) and establish a model.
A total of 290 people living with HIV after 1 year of ART treatment were enrolled and divided into two groups based on whether their BMI index was <24 or ⩾24 at week 48. The demographic, clinical data were collected and analyzed. Multivariable logistic regression analysis was performed. A model was established and use to predict the occurrence of certain diseases.
A total of 290 people living with HIV were included in this study; 200 had a normal BMI (BMI < 24) and 90 were high BMI (BMI ⩾ 24) after 1-year ART. Their baseline characteristics were significantly different in relation to age ( = 0.007), sex distribution ( = 0.040), ART regimen ( = 0.040), alanine aminotransferase levels ( < 0.001), and three major serum lipid levels: triglycerides ( < 0.001), cholesterol ( = 0.011), and low-density lipoprotein ( = 0.005). A multivariate logistic regression analysis resulted in the development of a model for the diagnosis of high BMI and hyperlipidemia. The model score is an independent risk factor for hyperlipidemia (odds ratio = 2.674, = 0.001) and high BMI ( < 0.001). The model score is significantly correlated with the controlled attenuation parameter (CAP) value ( = 0.230, < 0.001) and can be used to divide the severity of liver steatosis based on CAP value.
This study demonstrated a easy-to-use model to detect high BMI, hyperlipidemia, and liver steatosis in people living with HIV without risk factors for BMI changing at baseline after 1 year of ART treatment.
本研究的目的是评估接受抗逆转录病毒治疗（ART）后体重指数（BMI）高和体重正常的HIV感染者的特征，并建立一个模型。
共纳入290例接受ART治疗1年的HIV感染者，根据其在第48周时的BMI指数是<24还是⩾24分为两组。收集并分析人口统计学、临床数据。进行多变量逻辑回归分析。建立一个模型并用于预测某些疾病的发生。
本研究共纳入290例HIV感染者；1年ART治疗后，200例BMI正常（BMI<24），90例BMI高（BMI⩾24）。他们的基线特征在年龄（P=0.007）、性别分布（P=0.040）、ART方案（P=0.040）、丙氨酸转氨酶水平（P<0.001）以及三项主要血脂水平：甘油三酯（P<0.001）、胆固醇（P=0.011）和低密度脂蛋白（P=0.005）方面存在显著差异。多变量逻辑回归分析得出了一个用于诊断高BMI和高脂血症的模型。模型得分是高脂血症（比值比=2.674，P=0.001）和高BMI（P<0.001）的独立危险因素。模型得分与受控衰减参数（CAP）值显著相关（P=0.230，P<0.001），可用于根据CAP值划分肝脂肪变性的严重程度。
本研究展示了一个易于使用的模型，可在无BMI基线变化危险因素的HIV感染者接受1年ART治疗后检测高BMI、高脂血症和肝脂肪变性。
