CD4+ T Cell Recovery among Patients with HlV/AlDS who Received Highly Active Antiretroviral Therapy Regularly in Chongqing, China: An Ambispective Cohort Study＊

ZHANG Peng, YAN Xiang Yu, LI Yong Jie, ZHANG Bo,#, and WANG Jing

The HIV/AIDS epidemic in China is spreading rapidly, with the number of people living with HIV(PLHIV) increasing nearly 1.5 times from 0.44 million in 2011 to 1.05 million in 2020[1,2]. Antiretroviral therapy (ART) is the main AIDS treatment and can effectively reduce HIV transmission, morbidity, and mortality among PLHIV[3,4]. Highly active antiretroviral therapy (HAART) is provided to confirmed patients with HIV/AIDS in China to expand the coverage and improve treatment effects. CD4+ T cell count recovery is widely used to evaluate ART’s effectiveness and select appropriate ART regimens in clinical practice. In China, a regular free CD4+ T cell count measurement service was provided to patients with HIV/AIDS on HAART treatment at least yearly as recommended by the Chinese Center for Disease Control and Prevention. This strategy enables researchers to monitor HAART’s effectiveness and explore factors affecting CD4+ T cell level recovery during routine diagnosis and treatment.

This ambispective cohort study was undertaken in Jiulongpo District, Chongqing city, China, from January 1, 2018, to November 30, 2020. The participants were enrolled by the Second People’s Hospital of Jiulongpo District, designated as an HIV/AIDS treatment hospital after the patients were confirmed to be infected in Chongqing city. Also, it provided free CD4+ T cell count measurements for patients with HIV/AIDS yearly. The hospital began to record patients’ treatments and related test results(i.e., CD4+ T cell counts) in an independent electronic medical system in 2018.

The enrollment of the cohort began on January 1, 2020. Participants were recruited during their visit to the hospital. The patients with HIV/AIDS who met the following inclusion criteria were included in the cohort: (1) 18 years or older; (2) adherence to their HAART treatment regimens and good treatment compliance; (3) continuously received HAART treatment and CD4+ T cell count measurement every year at the designated hospital; (4) did not have severe physical disabilities, immune system and hematological diseases, cancers, or mental diseases;(5) willing to participate in this study and complete the informed consent document. Participants were asked whether they were willing to provide their current and former treatments and CD4+ T cell count results in 2020 and the previous results in 2018 and 2019. Patients without CD4+ T cell count records in any year during the study period after their first record were excluded.

Patients’ demographics (sex, age), HAART treatment (treatment regimens, treatment duration), and CD4+ T cell count data were collected from the electronic medical system by two trained physicians. Patients’ first test records after treatment in the system were defined as the baseline records of the cohort, and the later records were the follow-up records, with a maximum of two follow-ups. Ethics approval for this study was obtained from the Institutional Review Board of the Second People’s Hospital of Jiulongpo District,Chongqing city, China.

We considered that a relatively higher CD4+ T cell count reflected a better immune status and treatment effect. We divided the relative change in CD4+ T cell count between every two tests of one patient into two categories: “Better” and “Worse”.“Better” meant that the later CD4+ T cell count was higher than the former. “Worse” meant that the later CD4+ T cell count was lower than the former.

One-way analysis of variance was used to compare CD4+ T cell counts among the three time points. Student-Newman-Keuls method was used to compare CD4+ T cell counts between every two time points. Univariable and multivariable Generalized Estimating Equation (GEE) models were used to compare the two outcomes by characteristics,respectively. The CD4+ T cell count was a continuous variable, so the unadjusted and adjusted β values with 95% confidence intervals (95%CIs) were reported. The change in CD4+ T cell count was a binary variable (0 = “Worse,” 1 = “Better”), so the unadjusted and adjusted odds ratios (ORs and aORs,respectively) with 95%CIs were reported. A twosidedPvalue of 0.05 or less was regarded as significant. Statistical analyses were performed with SPSS version 21.0 (IBM Corp).

From January 1, 2018, to November 30, 2020,544 patients with HIV/AIDS were enrolled in the cohort. After excluding 70 patients, 474 patients were included in the analysis. Of these, 458 had more than two CD4+ T cell count results that could be included in the analysis of the relative change in CD4+ T cell counts (Figure 1). Among the 474 patients, 352 (74.3%) were male. The average age of patients was 50.3 ± 0.7 years. Most (394/474, 83.1%)used the first-line treatment regimen (Table 1). The baseline CD4+ T cell count of these patients was 343.55 ± 195.59 cells/μL, the CD4+ T cell count in their first-year follow-up (396.81 ± 213.97 cells/μL)and second-year follow-up (401.54 ± 183.80 cells/μL)were significantly higher than that at baseline (P＜0.05). (Table 1).

Figure 1. Study profile flowchart.

Compared with patients who were older than 65 years, patients under 44 years (adjusted β: 0.32, 95%CI: 0.21-0.44,P＜ 0.001), and 45-54 years (adjusted β: 0.18, 95%CI: 0.06-0.29,P＜ 0.01) presented significantly higher CD4+ T cell counts. Patients with treatment duration of under three years had significantly lower CD4+ T cell counts compared with those longer than seven years (adjusted β≤1year:-0.53, 95%CI: -0.68 to -0.37,P＜ 0.001; adjusted β1-3years: -0.23, 95%CI: -0.15 to -0.10,P＜ 0.001).(Table 1).

For the relative change, male patients were less likely to have better CD4+ T cell count changes than female patients (aOR: 0.71, 95%CI: 0.54-0.92,P＜0.05). CD4+ T cell counts among patients under 44 years were more likely to change better (aOR: 1.61,95%CI: 1.16-2.25,P＜ 0.01). CD4+ T cell counts were more likely to change better when patients had a treatment duration of less than one year (aOR: 3.21,95%CI: 1.79-5.76,P＜ 0.001). (Table 2).

Table 2. Comparison of CD4+ T cell count change by characteristics

The CD4+ T cell recovery was associated with patients’ biological characteristics. Females’physiological CD4+ T cell levels were relatively higher than males, and the thymic function might be affected by male hormones[5]. Pharmacogenetics studies showed immune recovery during HAART is a complex phenotype, and variants in genes could also influence the HAART-induced CD4+ T-cell gains in HIV/AIDS patients[6]. Consistent with our findings, a retrospective study of patients with HIV/AIDS in Zhejiang, China, also found that aging was a risk factor for decreasing the change in CD4+ T cells and resulted in incomplete CD4+ T cell recovery[7]. In China, the epidemic of HIV/AIDS in older people has been rising rapidly in recent years. The number of HIV-infected people older than 60 years increased more than four times from 2012 to 37 thousand cases in 2019[8]. The rising epidemic interwoven with the poor therapeutic effect among older patients with HIV/AIDS poses a crisis for AIDS control among older individuals. Therefore, it is essential to conduct early detection and early HAART treatment for older patients with HIV/AIDS to rebuild better immunological function.

The duration of HAART treatment also affected CD4+ T cell recovery. The first year was the critical treatment period. Previous studies also showed that CD4+ T cell count increased rapidly in the first year after treatment. The reason is that the redistribution of existing CD4+ T cells from lymphoid organs is quick in the first few months following ART initiation but slows down when new CD4+ T cells are made due to thymic activation[9,10]. Zhou, et al’s study[11]showed that early and immediate ART initiation was also associated with mortality reduction. The quick recovery in the first year after treatment did not mean that it was unimportant to adhere to subsequent treatment. Our findings showed that patients with shorter than three years of treatment presented relatively lower CD4+ T cell levels than patients with longer treatment duration (adjusted β≤1year: -0.53, 95%CI: -0.68 to -0.37,P＜ 0.001;adjusted β1-3years: -0.23, 95%CI: -0.15 to -0.10,P＜0.001). Therefore, grasping the critical period of the first year of treatment and adhering to treatment is essential for successful immune reconstruction among patients with HIV/AIDS.

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This study has some limitations. First, the study was conducted only at a single site in Chongqing city,China. Second, relatively fewer patients used second-line regimens than first-line treatment, and the combination of various second-line regimens compared with the first-line regimen might cause bias. Third, the characteristics we included in the analysis were somewhat limited. However, this study provided novel evidence on CD4+ T cell recovery among patients with HIV/AIDS receiving HAART regularly in primary care services. In future studies,researchers should include more patients using different HAART regimens at multiple centers to explore associations further, and more sociodemographic, behavioral, and treatment characteristics need to be included. Additional attention should be paid to HIV/AIDS treatment effectiveness in older patients when delivering HIV/AIDS treatment services. It is necessary to encourage patients to grasp the critical period of the first year of treatment and adhere to treatment to achieve successful immune reconstruction.

AcknowledgmentsWe thank the doctors and nurses of the Second People's Hospital of Jiulongpo District for their contributions to participant recruitment and data collection.

Author contributionsZHANG Peng and YAN Xiang Yu were responsible for the study design; ZHANG Peng, YAN Xiang Yu, and LI Yong Jie contributed to writing the report; ZHANG Peng, YAN Xiang Yu, LI Yong Jie, and ZHANG Bo contributed to data analysis;WANG Jing contributed to data collection and data cleaning. All authors have reviewed and approved the final manuscript.

Conflict of interestAll authors declare no conflict of interest.

&These authors contributed equally to this work.

#Correspondence should be addressed to ZHANG Bo,E-mail: zhangbo0136@pku.edu.cn; WANG Jing, E-mail: wangjing44599@163.com

Biographical notes of the first authors: ZHANG Peng,male, born in 1980, MD, majoring in public health testing;YAN Xiang Yu, male, born in 1995, PhD, majoring in epidemiology and biostatistics.

Received: September 10, 2021;

Accepted: January 11, 2022