Farhadian Maryam, Mohammadi Younes, Mirzaei Mohammad, Shirmohammadi-Khorram Nasrin
Department of Biostatistics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
Research Center for Health Sciences, Hamadan University of Medical Sciences, Hamadan, Iran.
BMC Res Notes. 2021 Mar 25;14(1):114. doi: 10.1186/s13104-021-05523-w.
CD4 Lymphocyte Count (CD4) is a major predictor of HIV progression to AIDS. Exploring the factors affecting CD4 levels may assist healthcare staff and patients in management and monitoring of health cares. This retrospective cohort study aimed to explore factors associated with CD4 cell counts at the time of diagnosis in HIV patients using Poisson, Generalized Poisson, and Negative Binomial regression models.
Out of 4402 HIV patients diagnosis in Iran from 1987 to 2016, 3030 (68.8%) were males, and the mean age was 34.8 ± 10.4 years. The results indicate that the Negative Binomial model outperformed the other models in terms of AIC, log-likelihood and RMSE criteria. In this model, factors include sex, age, clinical stage and Tuberculosis (TB) co-infection were significantly associated with CD4 count (P < 0.05).
Given the effect of age, sex, clinical stage and stage of HIV on CD4 count of the patients, adopting policies and strategies to increase awareness and encourage people to seek early HIV testing and care is advantageous.
CD4淋巴细胞计数（CD4）是HIV进展为艾滋病的主要预测指标。探索影响CD4水平的因素可能有助于医护人员和患者进行医疗管理与监测。这项回顾性队列研究旨在使用泊松回归、广义泊松回归和负二项回归模型，探索HIV患者诊断时与CD4细胞计数相关的因素。
在1987年至2016年伊朗诊断的4402例HIV患者中，3030例（68.8%）为男性，平均年龄为34.8±10.4岁。结果表明，在AIC、对数似然和均方根误差标准方面，负二项回归模型优于其他模型。在该模型中，性别、年龄、临床分期和合并结核病（TB）感染等因素与CD4计数显著相关（P<0.05）。
鉴于年龄、性别、临床分期和HIV阶段对患者CD4计数的影响，采取政策和策略提高认识并鼓励人们尽早进行HIV检测和治疗是有益的。
