School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
School of Mathematics and Statistics, University of Melbourne, Melbourne, Victoria, Australia.
Clin Infect Dis. 2021 Jul 1;73(1):e88-e96. doi: 10.1093/cid/ciaa602.
Tuberculosis (TB) natural history remains poorly characterized, and new investigations are impossible as it would be unethical to follow up TB patients without treatment.
We considered the reports identified in a previous systematic review of studies from the prechemotherapy era, and extracted detailed data on mortality over time. We used a Bayesian framework to estimate the rates of TB-induced mortality and self-cure. A hierarchical model was employed to allow estimates to vary by cohort. Inference was performed separately for smear-positive TB (SP-TB) and smear-negative TB (SN-TB).
We included 41 cohorts of SP-TB patients and 19 cohorts of pulmonary SN-TB patients in the analysis. The median estimates of the TB-specific mortality rates were 0.389 year-1 (95% credible interval [CrI], .335-.449) and 0.025 year-1 (95% CrI, .017-.035) for SP-TB and SN-TB patients, respectively. The estimates for self-recovery rates were 0.231 year-1 (95% CrI, .177-.288) and 0.130 year-1 (95% CrI, .073-.209) for SP-TB and SN-TB patients, respectively. These rates correspond to average durations of untreated TB of 1.57 years (95% CrI, 1.37-1.81) and 5.35 years (95% CrI, 3.42-8.23) for SP-TB and SN-TB, respectively, when assuming a non-TB-related mortality rate of 0.014 year-1 (ie, a 70-year life expectancy).
TB-specific mortality rates are around 15 times higher for SP-TB than for SN-TB patients. This difference was underestimated dramatically in previous TB modeling studies, raising concerns about the accuracy of the associated predictions. Despite being less infectious, SN-TB may be responsible for equivalent numbers of secondary infections as SP-TB due to its much longer duration.
结核病(TB)自然史仍未得到充分描述,由于对未经治疗的 TB 患者进行随访在伦理上是不可行的,因此新的研究也无法开展。
我们考虑了之前一项化疗前时代研究系统性综述中确定的报告,并提取了随时间推移的死亡率的详细数据。我们使用贝叶斯框架来估计由 TB 引起的死亡率和自愈率。采用分层模型允许根据队列来估计变化。分别对涂片阳性 TB(SP-TB)和涂片阴性 TB(SN-TB)进行推断。
我们纳入了 41 项 SP-TB 患者队列和 19 项肺 SN-TB 患者队列进行分析。SP-TB 和 SN-TB 患者的 TB 特异性死亡率中位数估计值分别为 0.389 年-1(95%可信区间[CrI],0.335-0.449)和 0.025 年-1(95% CrI,0.017-0.035)。自我恢复率的估计值分别为 0.231 年-1(95% CrI,0.177-0.288)和 0.130 年-1(95% CrI,0.073-0.209)。当假设非 TB 相关死亡率为 0.014 年-1(即 70 岁预期寿命)时,这些速率对应于未经治疗的 TB 的平均持续时间分别为 1.57 年(95% CrI,1.37-1.81)和 5.35 年(95% CrI,3.42-8.23)。SP-TB 和 SN-TB。
SP-TB 患者的 TB 特异性死亡率比 SN-TB 患者高约 15 倍。这一差异在之前的 TB 建模研究中被严重低估,引发了对相关预测准确性的担忧。尽管传染性较低,但由于 SN-TB 的持续时间要长得多,它可能导致与 SP-TB 相同数量的继发感染。