糖尿病作为结核病的一个危险因素。
Diabetes as a risk factor for tuberculosis disease.
机构信息
Institute of General Practice, Medical Faculty of the Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany.
Family and Community Medicine Division, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.
出版信息
Cochrane Database Syst Rev. 2024 Aug 23;8(8):CD016013. doi: 10.1002/14651858.CD016013.pub2.
BACKGROUND
Tuberculosis (TB) is amongst the leading causes of death from an infectious disease, with an estimated 1.3 million deaths from TB in 2022. Approximately 25% of the global population is estimated to be infected with the TB bacterium, giving rise to 10.6 million episodes of TB disease in 2022. The prevalence of diabetes influences TB incidence and TB mortality. It is associated not only with an increased risk of TB disease but also death during TB treatment, TB relapse after treatment completion and multidrug-resistant TB. Since 2011, the World Health Organization (WHO) has recommended collaborative TB and diabetes activities as outlined in the Collaborative Framework for Care and Control of TB and Diabetes.
OBJECTIVES
To determine the prognostic value of diabetes mellitus (DM) in the general population of adults, adolescents and children for predicting tuberculosis disease.
SEARCH METHODS
We searched the literature databases MEDLINE (via PubMed) and WHO Global Index Medicus, and the WHO International Clinical Trials Registry Platform (ICTRP) on 3 May 2023 (date of last search for all databases); we placed no restrictions on the language of publication.
SELECTION CRITERIA
We included retrospective and prospective cohort studies, irrespective of publication status or language. The target population comprised adults, adolescents and children from diverse settings, encompassing outpatient and inpatient cohorts, with varying comorbidities and risk of exposure to tuberculosis.
DATA COLLECTION AND ANALYSIS
We used standard Cochrane methodology and the Quality In Prognosis Studies (QUIPS) tool. Prognostic factors assessed at enrolment/baseline included diabetes, as defined by the individual studies, encompassing patient-reported status, abstracted from medical records or claims data, or diagnosed by plasma glucose/glycosylated haemoglobin. The primary outcome was the incidence of tuberculosis disease. The secondary outcome was recurrent TB disease. We performed a random-effects meta-analysis for the adjusted hazard ratios, risk ratios, or odds ratios, employing the restricted maximum likelihood estimation. We rated the certainty of the evidence using the GRADE approach.
MAIN RESULTS
We included 48 cohort studies with over 61 million participants from the six WHO regions. However, the representation was variable as eight population-based studies were from South Korea and 19 from China, with overlapping study periods, and only one from the African region (Ethiopia). All studies included adults, and nine studies also included children and adolescents. Most studies diagnosed DM based on clinical records, including fasting blood glucose levels or glucose-lowering treatments. The studies did not distinguish between type 1 and type 2 DM; only one study focused on type 1 DM. Diagnosis and exclusion of TB were performed using culture or molecular WHO-recommended rapid diagnostic tests (mWRD) in only 12 studies, which could have biassed the effect estimate. The median follow-up time was five years (interquartile range 1.5 to 10, range 1 to 16.9), and the studies primarily reported an adjusted hazard ratio from a multivariable Cox-proportional hazard model. Hazard Ratios (HR) The HR estimates represent the highest certainty of the evidence, explored through sensitivity analyses and excluding studies at high risk of bias. We present 95% confidence intervals (CI) and prediction intervals, which show between-study heterogeneity represented in measuring the variability of effect sizes (i.e. the interval within which the effect size of a new study would fall considering the same population of studies included in the meta-analysis). DM may increase the risk of tuberculosis disease (HR 1.90, 95% CI 1.51 to 2.40; prediction interval 0.83 to 4.39; 10 studies; 11,713,023 participants). The certainty of the evidence is low, due to a moderate risk of bias across studies and inconsistency. Considering a risk without diabetes of 129 cases per 100,000 population, this represents 102 more (59 to 153 more) cases per 100,000. When stratified by follow-up time, the results are more consistent across < 10 years follow-up (HR 1.52, 95% CI 1.47 to 1.57; prediction interval 1.45 to 1.59; 7 studies; 10,380,872 participants). This results in a moderate certainty of the evidence due to a moderate risk of bias across studies. However, at 10 or more years of follow-up, the estimates yield a wider CI and a higher HR (HR 2.44, 95% CI 1.22 to 4.88; prediction interval 0.09 to 69.12; 3 studies; 1,332,151 participants). The certainty of the evidence is low due to the moderate risk of bias and inconsistency. Odds Ratio (OR) DM may increase the odds of tuberculosis disease (OR 1.61, 95% CI 1.27 to 2.04; prediction interval 0.96 to 2.70; 4 studies; 167,564 participants). Stratification by follow-up time was not possible as all studies had a follow-up < 10 years. The certainty of the evidence is low due to a moderate risk of bias and inconsistency. Risk Ratio (RR) The RR estimates represent the highest certainty of the evidence, explored through sensitivity analyses and excluding studies at high risk of bias. DM probably increases the risk of tuberculosis disease (RR 1.60, 95% CI 1.42 to 1.80; prediction interval 1.38 to 1.85; 6 studies; 44,058,675 participants). Stratification by follow-up time was not possible as all studies had a follow-up < 10 years. The certainty of the evidence is moderate due to a moderate risk of bias.
AUTHORS' CONCLUSIONS: Diabetes probably increases the risk of developing TB disease in the short term (< 10 years) and may also increase the risk in the long term (≥ 10 years). As glycaemic control and access to care may be potential effect modifiers of the association between diabetes and the risk of TB disease, the overall estimates should be interpreted with caution when applied locally. Policies targeted at reducing the burden of diabetes are needed to contribute to the aims of ending TB. Large population-based cohorts, including those derived from high-quality national registries of exposures (diabetes) and outcomes (TB disease), are needed to provide estimates with a high certainty of evidence of this risk across different settings and populations, including low- and middle-income countries from different WHO regions. Moreover, studies including children and adolescents and currently recommended methods for diagnosing TB would provide more up-to-date information relevant to practice and policy.
FUNDING
World Health Organization (203256442) REGISTRATION: PROSPERO registration: CRD42023408807.
背景
结核病(TB)是传染病导致死亡的主要原因之一,2022 年有 130 万人死于结核病。据估计,全球约有 25%的人口感染了结核分枝杆菌,这导致 2022 年发生了 1060 万例结核病。糖尿病的流行影响结核病的发病率和死亡率。它不仅与结核病发病风险增加有关,还与结核病治疗期间、治疗完成后结核病复发以及耐多药结核病死亡风险增加有关。自 2011 年以来,世界卫生组织(WHO)一直建议开展结核病和糖尿病协作活动,如合作框架所述,以开展结核病和糖尿病的护理和控制工作。
目的
确定糖尿病(DM)在成年人、青少年和儿童普通人群中预测结核病发病的预后价值。
检索方法
我们于 2023 年 5 月 3 日(所有数据库最近一次检索日期)检索了 MEDLINE(通过 PubMed)和世卫组织全球索引医学期刊以及世卫组织国际临床试验注册平台(ICTRP)的文献数据库,未对发表状态或语言进行限制。
选择标准
我们纳入了回顾性和前瞻性队列研究,无论其发表状态或语言如何。目标人群包括来自不同环境的成年、青少年和儿童门诊和住院患者队列,存在不同的合并症和结核病暴露风险。
数据收集和分析
我们使用了标准的 Cochrane 方法和预后因素研究质量评估工具(QUIPS)。纳入研究在登记/基线时评估的预后因素包括糖尿病,定义由个别研究确定,包括患者报告的状态、从病历或索赔数据中提取的状态或通过血浆葡萄糖/糖化血红蛋白诊断的状态。主要结局是结核病发病。次要结局是复发性结核病。我们对调整后的危害比、风险比或优势比进行了随机效应荟萃分析,采用了受限极大似然估计。我们使用 GRADE 方法评估证据的确定性。
主要结果
我们纳入了 48 项队列研究,涵盖了来自世卫组织六个区域的超过 6100 万名参与者。然而,代表性存在差异,因为有 8 项基于人群的研究来自韩国,19 项来自中国,且研究期间有重叠,只有 1 项来自非洲区域(埃塞俄比亚)。所有研究均纳入了成年人,其中 9 项研究还纳入了儿童和青少年。大多数研究基于临床记录诊断 DM,包括空腹血糖水平或降糖治疗。仅 12 项研究使用世卫组织推荐的培养或分子快速诊断检测(mWRD)进行了结核病的诊断和排除,这可能会对效应估计值产生偏倚。中位随访时间为 5 年(四分位距 1.5 至 10,范围 1 至 16.9),研究主要报告了多变量 Cox 比例风险模型调整后的危害比。危害比(HR)HR 估计值代表证据的最高确定性,通过敏感性分析和排除偏倚风险高的研究进行了探索。我们呈现了 95%置信区间(CI)和预测区间,这些区间显示了研究间测量效应大小(即考虑到纳入荟萃分析的相同研究人群,新研究的效应大小可能落在的区间)的变异性。DM 可能会增加结核病发病的风险(HR 1.90,95%CI 1.51 至 2.40;预测区间 0.83 至 4.39;10 项研究;11713023 名参与者)。证据的确定性较低,原因是研究间存在中度偏倚和不一致性。考虑到无糖尿病的情况下每 10 万人中有 129 例病例,这意味着每 10 万人中会增加 102 例(59 至 153 例)。按照随访时间分层,结果在<10 年的随访中更一致(HR 1.52,95%CI 1.47 至 1.57;预测区间 1.45 至 1.59;7 项研究;10380872 名参与者),这归因于研究间中度偏倚。然而,在 10 年或更长时间的随访中,估计值会产生更宽的 CI 和更高的 HR(HR 2.44,95%CI 1.22 至 4.88;预测区间 0.09 至 69.12;3 项研究;1332151 名参与者)。证据的确定性较低,原因是存在中度偏倚和不一致性。比值比(OR)DM 可能会增加结核病发病的风险(OR 1.61,95%CI 1.27 至 2.04;预测区间 0.96 至 2.70;4 项研究;167564 名参与者)。由于所有研究的随访时间都<10 年,因此无法进行随访时间分层。证据的确定性较低,原因是存在中度偏倚和不一致性。风险比(RR)RR 估计值代表证据的最高确定性,通过敏感性分析和排除偏倚风险高的研究进行了探索。DM 可能会增加结核病发病的风险(RR 1.60,95%CI 1.42 至 1.80;预测区间 1.38 至 1.85;6 项研究;44058675 名参与者)。由于所有研究的随访时间都<10 年,因此无法进行随访时间分层。证据的确定性为中度,原因是存在中度偏倚。
作者结论
在短期(<10 年)和长期(≥10 年)内,糖尿病可能会增加患结核病的风险。由于血糖控制和获得治疗的机会可能是糖尿病与结核病发病风险之间的潜在效应修饰因素,因此当将这些总体估计值应用于当地时应谨慎解释。需要制定针对糖尿病的政策,以帮助实现终结结核病的目标。需要包括来自不同世卫组织区域的高暴露(糖尿病)和结局(结核病)的高质量国家登记数据的大型基于人群的队列研究,以提供在不同环境和人群中具有较高证据确定性的风险估计值,包括来自不同世卫组织区域的低收入和中等收入国家。此外,包括儿童和青少年以及目前推荐的结核病诊断方法的研究将提供更符合实践和政策的最新信息。
资金
世界卫生组织(203256442)注册:PROSPERO 注册:CRD42023408807。