Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Daejeon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea (the Republic of).
Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
BMJ Open. 2020 Feb 18;10(2):e034098. doi: 10.1136/bmjopen-2019-034098.
South Korea regards tuberculosis (TB) incidence in congregate settings as a serious problem. To this end, systematic latent TB infection (LTBI) diagnosis and treatment were provided to approximately 1.2 million individuals in high-risk congregate settings.
We designed a prospective cohort study of individuals tested for LTBI, based on the data collected on all persons screened for LTBI as part of the 2017 congregate settings programme in South Korea. Four types of databases are kept: LTBI screening database (personal information and LTBI test results), national health information (NHI) database (socio-demographic data and comorbidities), public healthcare information system (PHIS) database, and the Korean national TB surveillance system database (TB outcomes). Information regarding LTBI treatment at private hospitals and public health centres is collected from NHI and PHIS databases, respectively. The screening data are cleaned, duplicates are removed, and, where appropriate, re-coded to analyse specific exposures and outcomes. The primary objective is to compare the number of active TB cases prevented within 2 years between participants undergoing treatment and not undergoing treatment in the LTBI screening programme in congregate settings. Cascade of care for LTBI diagnosis and treatment will be evaluated among those with a positive LTBI test result. A Cox proportional hazards model will be applied to determine the risk factors for developing active TB.
The protocol is approved by the institutional review boards of Incheon St. Mary's Hospital, the Catholic University of Korea. Study results will be disseminated through peer-reviewed journals and conference presentations.
KCT0003905.
韩国将集体环境中的结核病（TB）发病率视为一个严重的问题。为此，对约 120 万高危集体环境中的个体进行了系统的潜伏性结核感染（LTBI）诊断和治疗。
我们设计了一项针对 LTBI 检测个体的前瞻性队列研究，该研究基于韩国 2017 年集体环境计划中对 LTBI 进行筛查的所有人的数据。我们保留了四种类型的数据库：LTBI 筛查数据库（个人信息和 LTBI 检测结果）、国家健康信息（NHI）数据库（社会人口统计学数据和合并症）、公共医疗保健信息系统（PHIS）数据库和韩国国家结核病监测系统数据库（TB 结局）。关于私人医院和公共卫生中心的 LTBI 治疗信息分别从 NHI 和 PHIS 数据库中收集。筛查数据经过清理、去重，并在适当情况下重新编码，以分析特定的暴露和结局。主要目的是比较在集体环境 LTBI 筛查计划中接受治疗和未接受治疗的个体在 2 年内预防活动性 TB 病例的数量。将评估 LTBI 诊断和治疗的护理梯次。将应用 Cox 比例风险模型来确定发展为活动性 TB 的风险因素。
该方案已获得仁川圣玛丽医院和韩国天主教大学机构审查委员会的批准。研究结果将通过同行评议期刊和会议报告进行传播。
KCT0003905。
