尼日利亚东南部Treatment-naïve HIV感染者CD4细胞计数低的因素

Ernest Ndukaife Anyabolu
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引用次数: 1

摘要

背景和目的:人类免疫缺陷病毒(HIV)感染是一个全球性的卫生保健问题。CD4细胞计数低,是免疫抑制的一个指标,与HIV感染的活动升级和进展有关。影响低CD4细胞计数的因素尚未完全确定,也未在常规临床实践中进行评估。本研究的目的是确定低CD4细胞计数的流行率,并评估可能影响尼日利亚东南部初次接受治疗的HIV受试者免疫抑制的因素。方法:这是一项横断面研究,涉及未接受治疗的HIV受试者。获得了人体测量和人口统计数据,并进行了CD4细胞计数和其他相关调查。比较CD4细胞计数低的患者(这里定义为CD4 <200细胞/ml)和CD4≥200细胞/ml的患者的数据。测定CD4细胞计数低的潜在危险因素。结果:患者平均年龄39+11岁。其中女性283人(72.0%),男性110人(28.0%)。CD4细胞计数中位数为391。49例(12.5%)患者CD4细胞计数低。CD4细胞计数与体重指数(df=2, p=0.017)、血清低密度脂蛋白胆固醇(df=1, p=0.027)、贫血(df=3, p=0.025)有显著相关性。CD4细胞计数与24 h尿蛋白(r=-0.117, p=0.023)、肌酐清除率(r=-0.122, p=0.018)、血红蛋白(r=0.224, p<0.001)有显著相关性,但相关性较差。肌酐清除率是CD4细胞计数低的预测因子,p=0.001。结论:本研究中CD4细胞计数低的发生率较高。体重异常、血脂异常和蛋白尿肾损害在CD4细胞计数低的未接受治疗的受试者中很常见。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Factors of Low CD4 Cells Count in Treatment-naïve HIV Subjects in Southeast Nigeria
Background and objectives: Human immunodeficiency virus (HIV) infection is a global healthcare problem. Low CD4 cells count, an index of immunosuppression, is associated with escalating activity and progression of HIV infection. The factors which influence low CD4 cells count have not been completely identified nor are they evaluated in routine clinical practice. The aim of this study was to determine the prevalence of low CD4 cells count and to evaluate the factors which might influence immunosuppression in treatment-naive HIV subjects in Southeast Nigeria. Methodology: This was a cross-sectional study involving treatment-naive HIV subjects. Anthropometric and demographic data were obtained and CD4 cells count and other relevant investigations performed. The data were compared between those who have low CD4 cells count, defined, here, as CD4 <200 cells/ml, and those with CD4 ≥ 200 cells/ml. Potential risk factors of low CD4 cells count were determined. Results: The mean age of the subjects was 39+11 years. Females were made up 283 (72.0%) and males 110 (28.0%). The median value of the CD4 cells count was 391. Low CD4 cells count was prevalent in 49 (12.5%) of the subjects. There was significant association between CD4 cells count and body mass index (df=2, p=0.017), as well as serum low density lipoprotein cholesterol (df=1, p=0.027) and anemia (df=3, p=0.025). Significant, but poor, correlation was observed between CD4 cells count and 24 h urine protein (r=-0.117, p=0.023), creatinine clearance (r=-0.122, p=0.018), as well as hemoglobin (r=0.224, p<0.001). Creatinine clearance was a predictor of low CD4 cells count, p=0.001. Conclusion: The prevalence of low CD4 cells count was high in this study. Abnormal weight, dyslipidemia and proteinuric renal damage were common among treatment-naive subjects who have low CD4 cells count.
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