一个基于网络的可互操作平台，用于支持医护人员和学生针对潜伏性结核感染的健康监测：CROSSWORD研究方案的演变
An interoperable web-based platform to support health surveillance against latent tuberculosis infection in health care workers and students: The evolution of CROSSWORD study protocol.
作者信息
Rizzi Angela, Nucera Eleonora, Mazzucco Walter, Palumbo Pierpaolo, Staiti Domenico, Moscato Umberto, De Simone Francesco Maria, Sali Michela, Boldrini Luca, Capocchiano Nikola Dino, Patarnello Stefano, Rumi Gabriele, Chini Raffaella, Carusi Valentina, Centrone Michele, Di Rienzo Alessia, Longhino David, Laface Chiara, Mellone Sabato, Maida Carmelo Massimo, Cannizzaro Emanuele, Cirrincione Luigi, Verso Maria Gabriella, Saracino Annalisa, Di Gennaro Francesco, Vimercati Luigi, De Maria Luigi, Sponselli Stefania, Scoppettuolo Giancarlo, Pastorino Roberta, Gasbarrini Antonio, Inchingolo Riccardo
机构信息
UOSD Allergologia e Immunologia Clinica, Dipartimento Scienze Mediche e Chirurgiche, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Department of Translational Medicine and Surgery, Università Cattolica del Sacro Cuore, Rome, Italy.
出版信息
PLoS One. 2025 Mar 25;20(3):e0319568. doi: 10.1371/journal.pone.0319568. eCollection 2025.
BACKGROUND
Tuberculosis (TB) prevention is a major goal in teaching hospital setting. Because of the possible progression or reactivation of latent disease, the screening of both health-care workers (HCWs) and students is an important issue in the TB control program.
OBJECTIVE
to deploy a web-based platform interoperating health surveillance systems from different hospitals to define models based on the highlighted risk factors to predict the occurrence of Latent Tuberculosis Infection (LTBI) and to define prevention strategies and interventions.
METHODS
This is a cross-sectional ambispective observational study without drug and device. The primary endpoint is the prevalence of LTBI. The secondary endpoint is the identification of possible risk factors of LTBI in a large cohort of HCWs and students.
CONCLUSIONS
This study aims to enrich the primary prevention measures against TB, having a high socio-economic-health impact in high-risk populations (HCWs and students) through an interoperable digital approach based on data obtained in three large Italian teaching hospitals. ClinicalTrials.gov: NCT05756582.
背景
结核病预防是教学医院环境中的一个主要目标。由于潜伏性疾病可能进展或复发，医护人员（HCWs）和学生的筛查是结核病控制计划中的一个重要问题。
目的
部署一个基于网络的平台，该平台可与不同医院的健康监测系统进行交互操作，以根据突出的风险因素定义模型，预测潜伏性结核感染（LTBI）的发生，并确定预防策略和干预措施。
方法
这是一项无药物和设备的横断面双前瞻性观察性研究。主要终点是LTBI的患病率。次要终点是在一大群医护人员和学生中识别LTBI的可能风险因素。
结论
本研究旨在通过基于意大利三家大型教学医院获得的数据的可互操作数字方法，丰富针对结核病的一级预防措施，对高危人群（医护人员和学生）产生高度的社会经济健康影响。ClinicalTrials.gov：NCT05756582。
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