The unique relationship between body mass index and metabolic syndrome in AIDS patients

被引:0
作者
Sun, Shiqi [1 ]
Zhou, Shengming [2 ]
Huang, Qi [3 ]
Sun, Jiazhong [3 ]
机构
[1] Jianghan Univ, Hosp Wuhan 6, Affiliated Hosp, Dept Clin Lab, Wuhan 430072, Peoples R China
[2] First Peoples Hosp Xiaogan, Dept Endocrinol, Xiaogan 432001, Peoples R China
[3] Wuhan Univ, Zhongnan Hosp, Dept Endocrinol, Wuhan 430071, Peoples R China
关键词
Metabolic syndrome; HIV/AIDS; Body mass index; Cut off point; China;
D O I
10.1038/s41598-025-97033-z
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Metabolic syndrome (MS) poses substantial health risks for people living with HIV/AIDS (PLWHA). While body mass index (BMI) is a well-established predictor of MS in the general population, its association with MS in PLWHA remains poorly characterized, particularly in China. This study investigates the relationship between BMI and MS in Chinese AIDS patients, with emphasis on population-specific metabolic risk patterns and threshold deviations from general population benchmarks. We enrolled 482 hospitalized AIDS patients stratified by BMI categories: underweight (< 18.5 kg/m(2), n = 92), normal weight (18.5-23.9 kg/m(2), n = 311), and overweight/obese (>= 24 kg/m(2), n = 79). MS diagnosis followed Chinese Diabetes Society (CDS) criteria. Comparative analyses of blood pressure, fasting glucose, and lipid profiles were conducted across groups. Statistical approaches included Spearman correlation for BMI-MS associations, multivariate logistic regression (adjusted for age, sex, and metabolic parameters), and ROC curve analysis to determine BMI thresholds predictive of MS. The overall MS prevalence was 8.92% (43/482), with striking disparities between groups: overweight/obese patients demonstrated 3.5-fold higher MS prevalence than normal-weight counterparts (24.1% vs. 6.8%, P < 0.001). Metabolic derangements were disproportionately elevated in the overweight/obese group, including hypertension (31.6% vs. 12.2%) and hypertriglyceridemia (44.3% vs. 21.5%, both P < 0.05). BMI showed strong positive correlations with MS diagnosis (r = 0.42, P < 0.001) and MS component burden (r = 0.38, P < 0.001). Multivariate analysis identified BMI as an independent MS predictor (adjusted OR = 1.15 per unit increase, 95% CI:1.06-1.25, P < 0.05). ROC analysis revealed a clinically relevant BMI cut-off of 20 kg/m(2) for MS prediction (AUC = 0.79), substantially lower than general population thresholds. This study identifies an accentuated BMI-MS relationship in Chinese PLWHA, with metabolic complications emerging at atypically low BMI values. The proposed BMI threshold of 20 kg/m(2) for MS risk stratification-25% below standard obesity criteria. Urgent adoption of HIV-specific metabolic screening is needed, prioritizing early BMI-guided interventions to reduce cardiovascular risks, even in non-obese individuals.
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