Pre-Treatment Neutrophil Count as a Predictor of Antituberculosis Therapy Outcomes: A Multicenter Prospective Cohort Study.
Autor: | Carvalho ACC; Laboratório de Inovações em Terapias, Ensino e Bioprodutos (LITEB), Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.; Programa Acadêmico de Tuberculose da Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil., Amorim G; Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, United States., Melo MGM; Programa Acadêmico de Tuberculose da Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.; Laboratório de Micobacteriologia Molecular, Faculdade de Medicina e Complexo Hospitalar Hospital Universitário Clementino Fraga Filho-Instituto de Doenças do Tórax da Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil., Silveira AKA; Programa Acadêmico de Tuberculose da Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.; Laboratório de Micobacteriologia Molecular, Faculdade de Medicina e Complexo Hospitalar Hospital Universitário Clementino Fraga Filho-Instituto de Doenças do Tórax da Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil., Vargas PHL; Programa Acadêmico de Tuberculose da Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.; Laboratório de Micobacteriologia Molecular, Faculdade de Medicina e Complexo Hospitalar Hospital Universitário Clementino Fraga Filho-Instituto de Doenças do Tórax da Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil., Moreira ASR; Programa Acadêmico de Tuberculose da Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil., Rocha MS; Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil.; Instituto Brasileiro para Investigação da Tuberculose, Fundação José Silveira, Salvador, Brazil., Souza AB; Gerência de Micobacteriologia, Fundação de Medicina Tropical Doutor Heitor Vieira Dourado, Manaus, Brazil., Arriaga MB; Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil.; Laboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil.; Faculdade de Medicina, Universidade Federal da Bahia, Salvador, Brazil., Araújo-Pereira M; Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil.; Laboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil.; Faculdade de Medicina, Universidade Federal da Bahia, Salvador, Brazil., Figueiredo MC; Division of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, United States., Durovni B; Secretaria Municipal de Saúde do Rio de Janeiro, Rio de Janeiro, Brazil., Lapa-E-Silva JR; Programa Acadêmico de Tuberculose da Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil., Cavalcante S; Secretaria Municipal de Saúde do Rio de Janeiro, Rio de Janeiro, Brazil., Rolla VC; Instituto Nacional de Infectologia Evandro Chagas, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil., Sterling TR; Division of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, United States., Cordeiro-Santos M; Gerência de Micobacteriologia, Fundação de Medicina Tropical Doutor Heitor Vieira Dourado, Manaus, Brazil., Andrade BB; Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil.; Laboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil.; Faculdade de Medicina, Universidade Federal da Bahia, Salvador, Brazil.; Division of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, United States.; Curso de Medicina, Escola Bahiana de Medicina e Saúde Pública, Salvador, Brazil.; Curso de Medicina, Universidade Salvador (UNIFACS), Salvador, Brazil., Silva EC; Programa Acadêmico de Tuberculose da Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.; Laboratório de Micobacteriologia Molecular, Faculdade de Medicina e Complexo Hospitalar Hospital Universitário Clementino Fraga Filho-Instituto de Doenças do Tórax da Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.; Laboratório Reconhecer Biologia, Centro de Biociência e Biotecniologia, Universidade Estadual do Norte Fluminense Darcy Ribeiro, Rio de Janeiro, Brazil., Kritski AL; Programa Acadêmico de Tuberculose da Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.; Laboratório de Micobacteriologia Molecular, Faculdade de Medicina e Complexo Hospitalar Hospital Universitário Clementino Fraga Filho-Instituto de Doenças do Tórax da Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil. |
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Jazyk: | angličtina |
Zdroj: | Frontiers in immunology [Front Immunol] 2021 Jul 02; Vol. 12, pp. 661934. Date of Electronic Publication: 2021 Jul 02 (Print Publication: 2021). |
DOI: | 10.3389/fimmu.2021.661934 |
Abstrakt: | Background: Neutrophils have been associated with lung tissue damage in many diseases, including tuberculosis (TB). Whether neutrophil count can serve as a predictor of adverse treatment outcomes is unknown. Methods: We prospectively assessed 936 patients (172 HIV-seropositive) with culture-confirmed pulmonary TB, enrolled in a multicenter prospective cohort study from different regions in Brazil, from June 2015 to June 2019, and were followed up to two years. TB patients had a baseline visit before treatment (month 0) and visits at month 2 and 6 (or at the end of TB treatment). Smear microscopy, and culture for Mycobacterium tuberculosis (MTB) were performed at TB diagnosis and during follow-up. Complete blood counts were measured at baseline. Treatment outcome was defined as either unfavorable (death, treatment failure or TB recurrence) or favorable (cure or treatment completion). We performed multivariable logistic regression, with propensity score regression adjustment, to estimate the association between neutrophil count with MTB culture result at month 2 and unfavorable treatment outcome. We used a propensity score adjustment instead of a fully adjusted regression model due to the relatively low number of outcomes. Results: Among 682 patients who had MTB culture results at month 2, 40 (5.9%) had a positive result. After regression with propensity score adjustment, no significant association between baseline neutrophil count (10 3 /mm 3 ) and positive MTB culture at month 2 was found among either HIV-seronegative (OR = 1.06, 95% CI = [0.95;1.19] or HIV-seropositive patients (OR = 0.77, 95% CI = [0.51; 1.20]). Of 691 TB patients followed up for at least 18 months and up to 24 months, 635 (91.9%) were either cured or completed treatment, and 56 (8.1%) had an unfavorable treatment outcome. A multivariable regression with propensity score adjustment found an association between higher neutrophil count (10 3 /mm 3 ) at baseline and unfavorable outcome among HIV-seronegative patients [OR= 1.17 (95% CI= [1.06;1.30]). In addition, adjusted Cox regression found that higher baseline neutrophil count (10 3 /mm 3 ) was associated with unfavorable treatment outcomes overall and among HIV-seronegative patients (HR= 1.16 (95% CI = [1.05;1.27]). Conclusion: Increased neutrophil count prior to anti-TB treatment initiation was associated with unfavorable treatment outcomes, particularly among HIV-seronegative patients. Further prospective studies evaluating neutrophil count in response to drug treatment and association with TB treatment outcomes are warranted. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2021 Carvalho, Amorim, Melo, Silveira, Vargas, Moreira, Rocha, Souza, Arriaga, Araújo-Pereira, Figueiredo, Durovni, Lapa-e-Silva, Cavalcante, Rolla, Sterling, Cordeiro-Santos, Andrade, Silva, Kritski and the RePORT Brazil consortium.) |
Databáze: | MEDLINE |
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