Infectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation - Education City, Doha, Qatar.
Population Health Research Institute, St George's, University of London, London, UK.
J Glob Health. 2019 Dec;9(2):020415. doi: 10.7189/jogh.09.020415.
In context of the rapidly expanding diabetes mellitus (DM) epidemic in India and slowly declining tuberculosis (TB) incidence, we aimed to estimate the past, current, and future impact of DM on TB epidemiology.
An age-structured TB-DM dynamical mathematical model was developed and analyzed to assess the DM-on-TB impact. The model was calibrated using a literature review and meta-analyses. The DM-on-TB impact was analyzed using population attributable fraction metrics. Sensitivity analyses were conducted by accommodating less conservative effect sizes for the TB-DM interactions, by factoring the age-dependence of the TB-DM association, and by assuming different TB disease incidence rate trajectories.
In 1990, 11.4% (95% uncertainty interval (UI) = 6.3%-14.4%) of new TB disease incident cases were attributed to DM. This proportion increased to 21.9% (95% UI = 12.1%-26.4%) in 2017, and 33.3% (95% UI = 19.0%-44.1%) in 2050. Similarly, in 1990, 14.5% (95% UI = 9.5%-18.2%) of TB-related deaths were attributed to DM. This proportion increased to 28.9% (95% UI = 18.9%-34.1%) in 2017, and 42.8% (95% UI = 28.7%-53.1%) in 2050. The largest impacts originated from the effects of DM on TB disease progression and infectiousness. Sensitivity analyses suggested that the impact could be even greater.
The burgeoning DM epidemic is predicted to become a leading driver of TB disease incidence and mortality over the coming decades. By 2050, at least one-third of TB incidence and almost half of TB mortality in India will be attributed to DM. This is likely generalizable to other Asian Pacific countries with similar TB-DM burdens. Targeting the impact of the increasing DM burden on TB control is critical to achieving the goal of TB elimination by 2050.
在印度糖尿病(DM)流行迅速扩大和结核病(TB)发病率缓慢下降的背景下,我们旨在估计 DM 对 TB 流行病学的过去、现在和未来影响。
我们开发了一个年龄结构的 TB-DM 动态数学模型,以评估 DM 对 TB 的影响。该模型通过文献回顾和荟萃分析进行校准。使用人群归因分数指标分析 DM 对 TB 的影响。通过容纳 TB-DM 相互作用的较小保守效应大小、考虑 TB-DM 相关性的年龄依赖性以及假设不同的 TB 疾病发病率轨迹,进行了敏感性分析。
1990 年,新发生的 TB 疾病病例中有 11.4%(95%置信区间(UI)=6.3%-14.4%)归因于 DM。这一比例在 2017 年增加到 21.9%(95% UI=12.1%-26.4%),在 2050 年增加到 33.3%(95% UI=19.0%-44.1%)。同样,1990 年,TB 相关死亡中有 14.5%(95% UI=9.5%-18.2%)归因于 DM。这一比例在 2017 年增加到 28.9%(95% UI=18.9%-34.1%),在 2050 年增加到 42.8%(95% UI=28.7%-53.1%)。最大的影响来自 DM 对 TB 疾病进展和传染性的影响。敏感性分析表明,影响可能更大。
预计在未来几十年中,迅速扩大的 DM 流行将成为 TB 疾病发病率和死亡率的主要驱动因素。到 2050 年,印度至少有三分之一的 TB 发病率和近一半的 TB 死亡率将归因于 DM。这可能适用于其他具有类似 TB-DM 负担的亚太国家。针对不断增加的 DM 负担对 TB 控制的影响是实现到 2050 年消除 TB 目标的关键。