Background: The Nigerian Institute of Medical Research houses two reference laboratories: the virology and tuberculosis laboratories. Both were enrolled in the Strengthening Laboratory Management Toward Accreditation (SLMTA) programme.
Objective: To describe the impact of SLMTA and discuss factors affecting the results, with an emphasis on mentorship.
Methods: The SLMTA programme was implemented from April 2010 through November 2012. Participants attended three workshops and executed quality improvement projects; laboratory auditors evaluated performance using a standard checklist. The virology laboratory did not receive mentorship; however, the tuberculosis laboratory had an international mentor who visited the laboratory four times during the programme, spending two to four weeks embedded within the laboratory during each visit.
Results: There was an overall improvement in the performance of both laboratories, with the virology laboratory increasing 13% (from 80% at baseline to 93% at exit audit) and the tuberculosis laboratory increasing 29% (from 66% to 95%). These scores were maintained nine months later at the surveillance audit.
Conclusion: The SLMTA programme resulted in improved and sustained quality management performance for both laboratories. Mentoring was a possible factor in the substantial improvement made by the tuberculosis laboratory and should be considered in order to augment the training received from the SLMTA workshops.
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http://dx.doi.org/10.4102/ajlm.v3i2.200 | DOI Listing |
Viruses
November 2024
Department of Virology & Biotechnology, ICMR-National Institute for Research in Tuberculosis, Chennai 600031, India.
The biological characteristics of early transmitted/founder (T/F) variants are crucial factors for viral transmission and constitute key determinants for the development of better therapeutics and vaccine strategies. The present study aimed to generate T/F viruses and to characterize their biological properties. For this purpose, we constructed 18 full-length infectious molecular clones (IMCs) of HIV from recently infected infants.
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December 2024
Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China.
: Accumulating evidence has confirmed the efficacy and safety of COVID-19 vaccines against SARS-CoV-2 infection. However, the effect of COVID-19 vaccination on immuno-virological parameters in people with HIV (PWH) is uncertain. : A total of 372 PWH treated at Beijing Ditan Hospital were included.
View Article and Find Full Text PDFVaccines (Basel)
November 2024
Department of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China.
Tuberculosis (TB) remains a leading cause of morbidity and mortality worldwide, necessitating the development of more effective vaccines. Nanoparticle-based adjuvants represent a promising approach to enhancing tuberculosis vaccine efficacy. This review focuses on the advantages of nanoparticulate-loaded vaccines, emphasizing their ability to improve antigen delivery, safety, and immunogenicity.
View Article and Find Full Text PDFMicroorganisms
November 2024
Department of Microbiology, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City 14080, Mexico.
Tuberculosis (TB) is one of the most common respiratory infections worldwide, and it is caused by (). employs immune evasion mechanisms that allow the disease to become chronic. Despite extensive research, the host-pathogen interaction remains incompletely understood.
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November 2024
Yunnan Province Key Laboratory of Children's Major Diseases Research, School of Basic Medical Sciences, Kunming Medical University, Kunming 650500, China.
The aim of this study was to evaluate the diagnostic accuracy of the IGRA, TST, and TBST by combining diagnostic test accuracy (DTA) analysis and network meta-analysis (NMA) to increase the reliability and accuracy of diagnostic methods and promote the eradication of TB. An electronic search of the PubMed, Embase, and Cochrane databases was conducted, from the date of establishment to September 30, 2024. Data were synthesized with frequentist random-effects network meta-analyses, a single-group rate meta-analysis algorithm, and a bivariate mixed-effects logistic regression model.
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