Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China.
Joint Laboratory for Emerging Infectious Diseases in China (Guangxi)-ASEAN, Life Sciences Institute, Guangxi Medical University, Nanning, Guangxi, China.
BMC Public Health. 2024 May 17;24(1):1333. doi: 10.1186/s12889-024-18475-0.
Previous studies have shown the association between tuberculosis (TB) and meteorological factors/air pollutants. However, little information is available for people living with HIV/AIDS (PLWHA), who are highly susceptible to TB.
Data regarding TB cases in PLWHA from 2014 to2020 were collected from the HIV antiviral therapy cohort in Guangxi, China. Meteorological and air pollutants data for the same period were obtained from the China Meteorological Science Data Sharing Service Network and Department of Ecology and Environment of Guangxi. A distribution lag non-linear model (DLNM) was used to evaluate the effects of meteorological factors and air pollutant exposure on the risk of TB in PLWHA.
A total of 2087 new or re-active TB cases were collected, which had a significant seasonal and periodic distribution. Compared with the median values, the maximum cumulative relative risk (RR) for TB in PLWHA was 0.663 (95% confidence interval [CI]: 0.507-0.866, lag 4 weeks) for a 5-unit increase in temperature, and 1.478 (95% CI: 1.116-1.957, lag 4 weeks) for a 2-unit increase in precipitation. However, neither wind speed nor PM had a significant cumulative lag effect. Extreme analysis demonstrated that the hot effect (RR = 0.638, 95%CI: 0.425-0.958, lag 4 weeks), the rainy effect (RR = 0.285, 95%CI: 0.135-0.599, lag 4 weeks), and the rainless effect (RR = 0.552, 95%CI: 0.322-0.947, lag 4 weeks) reduced the risk of TB. Furthermore, in the CD4(+) T cells < 200 cells/µL subgroup, temperature, precipitation, and PM had a significant hysteretic effect on TB incidence, while temperature and precipitation had a significant cumulative lag effect. However, these effects were not observed in the CD4(+) T cells ≥ 200 cells/µL subgroup.
For PLWHA in subtropical Guangxi, temperature and precipitation had a significant cumulative effect on TB incidence among PLWHA, while air pollutants had little effect. Moreover, the influence of meteorological factors on the incidence of TB also depends on the immune status of PLWHA.
先前的研究表明,结核病(TB)与气象因素/空气污染物之间存在关联。然而,对于极易感染结核病的艾滋病毒感染者/艾滋病患者(PLWHA)来说,这方面的信息却很少。
本研究从中国广西的艾滋病毒抗病毒治疗队列中收集了 2014 年至 2020 年期间 PLWHA 的结核病病例数据。同期的气象和空气污染物数据则从中国气象科学数据共享服务网和广西生态环境厅获取。采用分布滞后非线性模型(DLNM)评估气象因素和空气污染物暴露对 PLWHA 结核病发病风险的影响。
共收集到 2087 例新发病或复发病例,其发病具有明显的季节性和周期性分布。与中位数相比,温度每升高 5 个单位,PLWHA 结核病的最大累积相对风险(RR)为 0.663(95%置信区间[CI]:0.507-0.866,滞后 4 周),降水每增加 2 个单位,RR 为 1.478(95%CI:1.116-1.957,滞后 4 周)。然而,风速和 PM 均没有显著的累积滞后效应。极值分析表明,高温效应(RR=0.638,95%CI:0.425-0.958,滞后 4 周)、多雨效应(RR=0.285,95%CI:0.135-0.599,滞后 4 周)和少雨效应(RR=0.552,95%CI:0.322-0.947,滞后 4 周)降低了结核病的发病风险。此外,在 CD4(+)T 细胞<200 个/µL 的亚组中,温度、降水和 PM 对结核病的发病有显著的滞后效应,而温度和降水对结核病的发病有显著的累积滞后效应。然而,在 CD4(+)T 细胞≥200 个/µL 的亚组中,并未观察到这些效应。
在亚热带广西,温度和降水对 PLWHA 的结核病发病有显著的累积影响,而空气污染物的影响则较小。此外,气象因素对结核病发病的影响还取决于 PLWHA 的免疫状态。