Suppr超能文献

基于家庭的评分系统预测肺结核患者接触者患肺结核的风险:一项推导和外部验证的前瞻性队列研究。

A household-level score to predict the risk of tuberculosis among contacts of patients with tuberculosis: a derivation and external validation prospective cohort study.

机构信息

Department of Infectious Diseases, Imperial College London, London, UK; Innovation For Health And Development, Laboratory of Research and Development, Universidad Peruana Cayetano Heredia, Lima, Peru; Innovación Por la Salud Y Desarrollo, Asociación Benéfica PRISMA, Lima, Peru.

Innovation For Health And Development, Laboratory of Research and Development, Universidad Peruana Cayetano Heredia, Lima, Peru; Innovación Por la Salud Y Desarrollo, Asociación Benéfica PRISMA, Lima, Peru; Department of Clinical Infection, Microbiology and Immunology, Institute of Infection and Global Health, University of Liverpool, UK; LIV-TB Collaboration and Department of Clinical Science, Liverpool School of Tropical Medicine, Liverpool, UK; Social Medicine, Infectious Diseases and Migration Group, Department of Public Health Sciences, Karolinska Institute, Stockholm, Sweden.

出版信息

Lancet Infect Dis. 2020 Jan;20(1):110-122. doi: 10.1016/S1473-3099(19)30423-2. Epub 2019 Oct 31.

Abstract

BACKGROUND

The epidemiological impact and cost-effectiveness of social protection and biomedical interventions for tuberculosis-affected households might be improved by risk stratification. We therefore derived and externally validated a household-level risk score to predict tuberculosis among contacts of patients with tuberculosis.

METHODS

In this prospective cohort study, we recruited tuberculosis-affected households from 15 desert shanty towns in Ventanilla and 17 urban communities in Callao, Lima, Peru. Tuberculosis-affected households included index patients with a new diagnosis of tuberculosis and their contacts who reported being in the same house as the index patient for more than 6 h per week in the 2 weeks preceding index patient diagnosis. Tuberculosis-affected households were not included if the index patient had no eligible contacts or lived alone. We followed contacts until 2018 and defined household tuberculosis, the primary outcome, as any contact having any form of tuberculosis within 3 years. We used logistic regression to identify characteristics of index patients, contacts, and households that were predictive of household tuberculosis, and used these to derive and externally validate a household-level score.

FINDINGS

Between Dec 12, 2007, and Dec 31, 2015, 16 505 contacts from 3 301 households in Ventanilla were included in a derivation cohort. During the 3-year follow-up, tuberculosis occurred in contacts of index patients in 430 (13%, 95% CI 12-14) households. Index patient predictors were pulmonary tuberculosis and sputum smear grade, age, and the maximum number of hours any contact had spent with the index patient while they had any cough. Household predictors were drug use, schooling of the female head of a household, and lower food spending. Contact predictors were if any of the contacts were children, number of lower-weight (body-mass index [BMI] <20·0 kg/m) adult contacts, number of normal-weight (BMI 20·0-24·9 kg/m) adult contacts, and number of past or present household members who previously had tuberculosis. In this derivation cohort, the score c statistic was 0·77 and the risk of household tuberculosis in the highest scoring quintile was 31% (95% CI 25-38; 65 of 211) versus 2% (95% CI 0-4; four of 231) in the lowest scoring quintile. We externally validated the risk score in a cohort of 4248 contacts from 924 households in Callao recruited between April 23, 2014, and Dec 31, 2015. During follow-up, tuberculosis occurred in contacts of index patients in 120 (13%, 95% CI 11-15) households. The score c statistic in this cohort was 0·75 and the risk of household tuberculosis in the highest scoring quintile was 28% (95% CI 21-36; 43 of 154) versus 1% (95% CI 0-5; two of 148) in the lowest scoring quintile. The highest-scoring third of households captured around 70% of all tuberculosis among contacts. A simplified risk score including only five variables performed similarly, with only a small reduction in performance.

INTERPRETATION

This externally validated score will enable comprehensive biosocial, household-level interventions to be targeted to tuberculosis-affected households that are most likely to benefit.

FUNDING

Wellcome Trust, Medical Research Council, Department of Health and Social Care, Department for International Development, Joint Global Health Trials consortium, Bill & Melinda Gates Foundation, Innovation for Health and Development.

摘要

背景

通过风险分层,社会保护和生物医学干预措施对结核病患者家庭的流行病学影响和成本效益可能会得到提高。因此,我们得出并外部验证了一个家庭层面的风险评分,以预测结核病患者接触者中的结核病。

方法

在这项前瞻性队列研究中,我们从秘鲁利马万塔尼拉的 15 个沙漠棚户区和卡亚俄的 17 个城市社区招募了结核病患者家庭。结核病患者家庭包括新诊断为结核病的指数患者及其接触者,如果指数患者的接触者在指数患者诊断前的 2 周内每周有超过 6 小时与指数患者同住一个房间,则认为其接触者符合条件。如果指数患者没有符合条件的接触者或独居,则不包括结核病患者家庭。我们随访接触者至 2018 年,并将家庭结核病(主要结局)定义为任何接触者在 3 年内患有任何形式的结核病。我们使用逻辑回归来确定指数患者、接触者和家庭的特征与家庭结核病的预测因素,并利用这些因素得出并外部验证一个家庭层面的评分。

结果

2007 年 12 月 12 日至 2015 年 12 月 31 日期间,万塔尼拉的 3301 个家庭中的 16505 名接触者被纳入了一个推导队列。在 3 年的随访期间,索引患者的接触者中有 430 人(13%,95%CI 12-14)发生了家庭结核病。指数患者的预测因素是肺结核和痰涂片等级、年龄以及任何接触者在有任何咳嗽时与指数患者一起度过的最长时间。家庭的预测因素是药物使用、家庭主妇的受教育程度以及食物支出的减少。接触者的预测因素是是否有任何接触者是儿童、体重较低(体重指数[BMI]<20.0kg/m)的成年接触者的数量、体重正常(BMI 20.0-24.9kg/m)的成年接触者的数量,以及以前曾患有结核病的家庭成员的数量。在这个推导队列中,评分的 C 统计量为 0.77,得分最高的五分位数中家庭结核病的风险为 31%(95%CI 25-38;211 人中有 65 人),而得分最低的五分位数中家庭结核病的风险为 2%(95%CI 0-4;231 人中有 4 人)。我们在 2014 年 4 月 23 日至 2015 年 12 月 31 日期间招募的卡亚俄的 924 个家庭中的 4248 名接触者中外部验证了风险评分。在随访期间,索引患者的接触者中有 120 人(13%,95%CI 11-15)发生了家庭结核病。该队列的评分 C 统计量为 0.75,得分最高的五分位数中家庭结核病的风险为 28%(95%CI 21-36;154 人中有 43 人),而得分最低的五分位数中家庭结核病的风险为 1%(95%CI 0-5;148 人中有 2 人)。得分最高的三分之一的家庭捕获了大约 70%的所有结核病接触者。一个仅包含五个变量的简化风险评分表现相似,只是略有降低。

解释

这个经过外部验证的评分将使有针对性的综合生物社会、家庭层面的干预措施能够惠及最有可能受益的结核病患者家庭。

资金

惠康信托基金会、医学研究委员会、英国卫生部和社会保障部、国际发展部、全球卫生试验联合组织、比尔和梅林达盖茨基金会、创新促进健康和发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/805d/6928575/f11e45fa420b/gr1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验