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Clinical and Mycobacterium tuberculosis strain characteristics of tuberculosis patients with diabetes mellitus in Changping District, Beijing, China.

BMC Infect Dis

January 2025

Chinese Center for Disease Control and Prevention, National Tuberculosis Reference Laboratory, No. 155 Chang Bai Road, Changping District, Beijing, 102206, People's Republic of China.

Background: Diabetes mellitus (DM) is a major risk factor for tuberculosis (TB), However, limited research exists on their clinical and strain characteristics. This study aims to investigate the correlation between these factors in TB-DM patients in Changping District.  METHODS: Whole genome sequencing (WGS) and drug susceptibility tests (DST) were performed on culture-positive strains.

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Background: Tuberculosis (TB) is one of the oldest infectious diseases and continues to be a major killer of human beings. This paper was designed to provide insights into the disease burden of TB.

Methods: The data was retrieved and downloaded from the latest GBD database.

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Background: Accurate diagnosis of tuberculosis (TB) in children continues to be challenging, primarily due to the low bacterial load characteristic of the disease and the obstacles in collecting sputum samples. Furthermore, detecting cases of latent Mycobacterium tuberculosis (M.tb) infection (LTBI) that have a high risk of progressing to active TB disease remains a significant diagnostic hurdle.

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Performance evaluation of the LIOFeron®TB/LTBI IGRA for screening of paediatric LTBI and tuberculosis.

Eur J Pediatr

January 2025

Infectious Diseases Unit, Department of Health Sciences, Anna Meyer Children's University Hospital, University of Florence, Florence, Italy.

Purpose: High-accuracy diagnostic screening tests for Mycobacterium tuberculosis (MTB) infection are required, primarily to detect patients with latent infections (LTBIs) in order to avoid their progression to active tuberculosis disease. The performance of the novel IGRA LIOFeron®TB/LTBI was evaluated in children. The originality of this test is the new MTB antigen contained (L-alanine dehydrogenase), identified as a tool to differentiate active TB from LTBI infection.

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Risk Prediction of Liver Injury in Pediatric Tuberculosis Treatment: Development of an Automated Machine Learning Model.

Drug Des Devel Ther

January 2025

Department of Pharmacy, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, 410004, People's Republic of China.

Purpose: Drug-induced liver injury (DILI) is one of the most common and serious adverse drug reactions related to first-line anti-tuberculosis drugs in pediatric tuberculosis patients. This study aims to develop an automatic machine learning (AutoML) model for predicting the risk of anti-tuberculosis drug-induced liver injury (ATB-DILI) in children.

Methods: A retrospective study was performed on the clinical data and therapeutic drug monitoring (TDM) results of children initially treated for tuberculosis at the affiliated Changsha Central Hospital of University of South China.

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