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Biomarkers That Correlate with Active Pulmonary Tuberculosis Treatment Response: a Systematic Review and Meta-analysis.
Zimmer, Alexandra J; Lainati, Federica; Aguilera Vasquez, Nathaly; Chedid, Carole; McGrath, Sean; Benedetti, Andrea; MacLean, Emily; Ruhwald, Morten; Denkinger, Claudia M; Kohli, Mikashmi.
Afiliação
  • Zimmer AJ; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada.
  • Lainati F; McGill International TB Centre, Montreal, Canada.
  • Aguilera Vasquez N; Division of Clinical Tropical Medicine, Center of Infectious Diseases, Heidelberg University Hospital, Heidelberg, Germany.
  • Chedid C; McGill International TB Centre, Montreal, Canada.
  • McGrath S; Equipe Pathogenèse des Légionnelles, Centre International de Recherche en Infectiologie, INSERM U1111, Université Claude Bernard Lyon 1, CNRS UMR5308, École Normale Supérieure de Lyon, Lyon, France.
  • Benedetti A; Medical and Scientific Department, Fondation Mérieux, Lyon, France.
  • MacLean E; Département de Biologie, Ecole Normale Supérieure de Lyon, Lyon, France.
  • Ruhwald M; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, USA.
  • Denkinger CM; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada.
  • Kohli M; McGill International TB Centre, Montreal, Canada.
J Clin Microbiol ; 60(2): e0185921, 2022 02 16.
Article em En | MEDLINE | ID: mdl-34911364
ABSTRACT
Current WHO recommendations for monitoring treatment response in adult pulmonary tuberculosis (TB) are sputum smear microscopy and/or culture conversion at the end of the intensive phase of treatment. These methods either have suboptimal accuracy or a long turnaround time. There is a need to identify alternative biomarkers to monitor TB treatment response. We conducted a systematic review of active pulmonary TB treatment monitoring biomarkers. We screened 9,739 articles published between 1 January 2008 and 31 December 2020, of which 77 met the inclusion criteria. When studies quantitatively reported biomarker levels, we meta-analyzed the average fold change in biomarkers from pretreatment to week 8 of treatment. We also performed a meta-analysis pooling the fold change since the previous time point collected. A total of 81 biomarkers were identified from 77 studies. Overall, these studies exhibited extensive heterogeneity with regard to TB treatment monitoring study design and data reporting. Among the biomarkers identified, C-reactive protein (CRP), interleukin-6 (IL-6), interferon gamma-induced protein 10 (IP-10), and tumor necrosis factor alpha (TNF-α) had sufficient data to analyze fold changes. All four biomarker levels decreased during the first 8 weeks of treatment relative to baseline and relative to previous time points collected. Based on limited data available, CRP, IL-6, IP-10, and TNF-α have been identified as biomarkers that should be further explored in the context of TB treatment monitoring. The extensive heterogeneity in TB treatment monitoring study design and reporting is a major barrier to evaluating the performance of novel biomarkers and tools for this use case. Guidance for designing and reporting treatment monitoring studies is urgently needed.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tuberculose Pulmonar / Mycobacterium tuberculosis Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies / Systematic_reviews Limite: Adult / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tuberculose Pulmonar / Mycobacterium tuberculosis Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies / Systematic_reviews Limite: Adult / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article