Faust Lena, Ranjan Ayushi, Jha Nita, Pai Madhukar, Huddart Sophie
Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada.
McGill International TB Centre, Montreal, Canada.
PLOS Glob Public Health. 2024 Sep 12;4(9):e0003277. doi: 10.1371/journal.pgph.0003277. eCollection 2024.
Experiencing 27% of the global tuberculosis (TB) burden, India's TB epidemic is the largest in the world. Due to COVID-19-related disruptions to TB programs, India has also seen the largest drop in TB case notifications of any country globally. We estimated case fatality among people treated for TB in India during the pandemic and compared these to pre-pandemic estimates. A random sample of 4,000 adults enrolled in World Health Partners (WHP), a private sector TB treatment support program (enrolling only people with drug-susceptible TB) in Bihar, India in the first year of COVID-19 (Mar 2020-Mar 2021) were contacted via phone to collect information on TB case fatality and other relevant covariates. Inverse probability of selection (IPS) weighting was used to obtain selection-bias-corrected in-treatment and post-treatment case fatality estimates. Covariates associated with (but not necessarily causal of) case fatality were identified by estimating adjusted hazard ratios (HRs) using the Cox proportional hazards model. WHP enrolled 19,826 adult drug-susceptible TB patients in the first year of COVID-19 (Mar 2020 to Mar 2021). Of our random sample of 4,000 patients, n = 2,962 (74.1%) answered the follow-up call. Unweighted and IPS-weighted in-treatment case fatality in the primary analysis were 6.12% (95%CI: 5.31-6.97%) and 6.07% (95%CI: 5.22-6.93%), respectively. Post-treatment case fatality estimates were 0.97% (95%CI: 0.61-1.33%) (unweighted) and 1.27% (95%CI: 0.79-1.79) (IPS-weighted). Our IPS-weighted estimates for in-treatment and post-treatment case fatality were similar to pre-pandemic IPS-weighted estimates (in-treatment: 7.27%, 95%CI: 5.97%- 8.49% and 12 months post-treatment: 1.23, 95%CI: 0.75-1.73). Although not higher than pre-pandemic estimates, the observed case fatality in this private sector cohort of people treated for drug-susceptible TB during COVID-19 in Bihar, India is above the level needed to reach the 2025 and 2030 End TB Strategy targets for reductions in TB deaths, underlining the extent of pandemic-related setbacks to TB elimination.
印度承担着全球27%的结核病负担,是世界上结核病疫情最严重的国家。由于新冠疫情对结核病防治项目造成干扰,印度也是全球结核病病例通报下降幅度最大的国家。我们估算了疫情期间印度接受结核病治疗患者的病死率,并与疫情前的估算结果进行比较。在新冠疫情第一年(2020年3月至2021年3月),我们随机抽取了4000名参与世界卫生伙伴组织(WHP)的成年人作为样本,该组织是印度比哈尔邦一个私营部门结核病治疗支持项目(仅招募药物敏感结核病患者),通过电话联系他们,收集结核病病死率及其他相关协变量的信息。采用选择逆概率(IPS)加权法来获得经选择偏倚校正的治疗期间和治疗后病死率估算值。通过使用Cox比例风险模型估计校正风险比(HRs),确定与病死率相关(但不一定具有因果关系)的协变量。在新冠疫情第一年(2020年3月至2021年3月),WHP共招募了19826名成年药物敏感结核病患者。在我们随机抽取的4000名患者样本中,n = (74.1%)2962人接听了随访电话。在初步分析中,未加权和IPS加权的治疗期间病死率分别为6.12%(95%CI:5.31 - 6.97%)和6.07%(95%CI:5.22 - 6.93%)。治疗后病死率估算值分别为0.97%(95%CI:0.61 - 1.33%)(未加权)和1.27%(95%CI:0.79 - 1.79)(IPS加权)。我们的IPS加权治疗期间和治疗后病死率估算值与疫情前的IPS加权估算值相似(治疗期间:7.27%,95%CI:5.97% - 8.49%;治疗后12个月:1.2%,95%CI:0.75 - 1.73)。尽管不高于疫情前的估算值,但在印度比哈尔邦这个私营部门队列中,新冠疫情期间接受药物敏感结核病治疗患者的观察到的病死率高于实现2025年和2030年终止结核病战略中结核病死亡减少目标所需的水平,凸显了疫情对结核病消除工作造成的挫折程度。