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Gender-specific antibiotic-resistance patterns and characterization of bacterial flora of undergraduate students' mobile phones and associated factors at a Nigerian university.
BMC Microbiol
January 2025
Department of Biology, Microbiology and Science Laboratory Technology, Faculty of Sciences, Nile University of Nigeria, FCT, Abuja, 900001, Nigeria.
Background: Technological development has led to the wide use of mobile phones. However, the role of the hand-held device in the possible spread of antibiotic-resistant bacterial pathogens considering gender variation, especially among Nigerian undergraduates is poorly understood. This study aimed to assess bacterial isolates recovered from male and female mobile phones for antibiotic resistance and determine possible factors that could facilitate their spread.
View Article and Find Full Text PDFPrevalence, diversity, and antimicrobial resistance of Salmonella spp. isolated from river sediments in Northwest Mexico.
J Infect Dev Ctries
December 2024
Centro de Investigación en Alimentación y Desarrollo A.C. (CIAD). Coordinación Regional Culiacán, Culiacán, Sinaloa, México. Carretera a Eldorado km 5.5, Campo El Diez, 80110 Culiacán, Sinaloa, México.
Introduction: Salmonella is a major foodborne pathogen widely distributed in the environment. Surface water, soil, and sediments may confer a protective effect on Salmonella against non-host conditions.
Methodology: This study focused on determining the prevalence of Salmonella spp.
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.
Evaluation of extracts from used Xpert MTB/RIF cartridges for detection of resistance to second-line anti-tuberculosis drugs in patients with multidrug-resistant tuberculosis in Ethiopia.
BMC Microbiol
January 2025
Mycobacteriology Research Center, Institute of Health, Jimma University, Jimma, Oromia, Ethiopia.
Background: Early and accurate diagnosis of drug resistance, including resistance to second-line anti-tuberculosis (TB) drugs, is crucial for the effective control and management of pre-extensively drug-resistant TB (pre-XDR-TB) and extensively drug-resistant TB (XDR-TB). The Xpert MTB/XDR assay is the WHO recommended method for detecting resistance to isoniazid and second-line anti-TB drugs when rifampicin resistance is detected. Currently, the Xpert MTB/XDR assay is not yet implemented in Ethiopia, thus the MTBDRsl assay continues to be used.
View Article and Find Full Text PDFBedaquiline, pretomanid, linezolid, and moxifloxacin (BPaLM) for multidrug- or rifampin-resistant tuberculosis: a systematic review.
J Bras Pneumol
January 2025
. Instituto de Doenças do Tórax - IDT - Faculdade de Medicina, Universidade Federal do Rio de Janeiro - UFRJ - Rio de Janeiro (RJ) Brasil.
Objective: To evaluate the available evidence comparing the use of the bedaquiline, pretomanid, linezolid, and moxifloxacin (BPaLM) regimen for 6 months with that of standard-of-care regimens for patients with multidrug-resistant or rifampin-resistant tuberculosis (MDR/RR-TB).
Methods: This was a systematic review of clinical trials comparing the use of the BPaLM regimen with the standard of care in patients with MDR/RR-TB. The main outcome measure was an unfavorable endpoint (a composite of death, treatment failure, treatment discontinuation, loss to follow-up, and recurrence), and secondary outcome measures included adverse events and serious adverse events.
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