Your browser doesn't support javascript.
loading
Bacterial Factors That Predict Relapse after Tuberculosis Therapy.
Colangeli, Roberto; Jedrey, Hannah; Kim, Soyeon; Connell, Roy; Ma, Shuyi; Chippada Venkata, Uma D; Chakravorty, Soumitesh; Gupta, Aditi; Sizemore, Erin E; Diem, Lois; Sherman, David R; Okwera, Alphonse; Dietze, Reynaldo; Boom, W Henry; Johnson, John L; Mac Kenzie, William R; Alland, David.
Afiliação
  • Colangeli R; From the Department of Medicine, Rutgers-New Jersey Medical School (R. Colangeli, H.J., U.D.C.V., S.C., A.G., D.A.), and the Department of Biostatistics, Rutgers School of Public Health (S.K., R. Connell), Newark; the Center for Infectious Disease Research, Seattle (S.M., D.R.S.); the Centers for Di
  • Jedrey H; From the Department of Medicine, Rutgers-New Jersey Medical School (R. Colangeli, H.J., U.D.C.V., S.C., A.G., D.A.), and the Department of Biostatistics, Rutgers School of Public Health (S.K., R. Connell), Newark; the Center for Infectious Disease Research, Seattle (S.M., D.R.S.); the Centers for Di
  • Kim S; From the Department of Medicine, Rutgers-New Jersey Medical School (R. Colangeli, H.J., U.D.C.V., S.C., A.G., D.A.), and the Department of Biostatistics, Rutgers School of Public Health (S.K., R. Connell), Newark; the Center for Infectious Disease Research, Seattle (S.M., D.R.S.); the Centers for Di
  • Connell R; From the Department of Medicine, Rutgers-New Jersey Medical School (R. Colangeli, H.J., U.D.C.V., S.C., A.G., D.A.), and the Department of Biostatistics, Rutgers School of Public Health (S.K., R. Connell), Newark; the Center for Infectious Disease Research, Seattle (S.M., D.R.S.); the Centers for Di
  • Ma S; From the Department of Medicine, Rutgers-New Jersey Medical School (R. Colangeli, H.J., U.D.C.V., S.C., A.G., D.A.), and the Department of Biostatistics, Rutgers School of Public Health (S.K., R. Connell), Newark; the Center for Infectious Disease Research, Seattle (S.M., D.R.S.); the Centers for Di
  • Chippada Venkata UD; From the Department of Medicine, Rutgers-New Jersey Medical School (R. Colangeli, H.J., U.D.C.V., S.C., A.G., D.A.), and the Department of Biostatistics, Rutgers School of Public Health (S.K., R. Connell), Newark; the Center for Infectious Disease Research, Seattle (S.M., D.R.S.); the Centers for Di
  • Chakravorty S; From the Department of Medicine, Rutgers-New Jersey Medical School (R. Colangeli, H.J., U.D.C.V., S.C., A.G., D.A.), and the Department of Biostatistics, Rutgers School of Public Health (S.K., R. Connell), Newark; the Center for Infectious Disease Research, Seattle (S.M., D.R.S.); the Centers for Di
  • Gupta A; From the Department of Medicine, Rutgers-New Jersey Medical School (R. Colangeli, H.J., U.D.C.V., S.C., A.G., D.A.), and the Department of Biostatistics, Rutgers School of Public Health (S.K., R. Connell), Newark; the Center for Infectious Disease Research, Seattle (S.M., D.R.S.); the Centers for Di
  • Sizemore EE; From the Department of Medicine, Rutgers-New Jersey Medical School (R. Colangeli, H.J., U.D.C.V., S.C., A.G., D.A.), and the Department of Biostatistics, Rutgers School of Public Health (S.K., R. Connell), Newark; the Center for Infectious Disease Research, Seattle (S.M., D.R.S.); the Centers for Di
  • Diem L; From the Department of Medicine, Rutgers-New Jersey Medical School (R. Colangeli, H.J., U.D.C.V., S.C., A.G., D.A.), and the Department of Biostatistics, Rutgers School of Public Health (S.K., R. Connell), Newark; the Center for Infectious Disease Research, Seattle (S.M., D.R.S.); the Centers for Di
  • Sherman DR; From the Department of Medicine, Rutgers-New Jersey Medical School (R. Colangeli, H.J., U.D.C.V., S.C., A.G., D.A.), and the Department of Biostatistics, Rutgers School of Public Health (S.K., R. Connell), Newark; the Center for Infectious Disease Research, Seattle (S.M., D.R.S.); the Centers for Di
  • Okwera A; From the Department of Medicine, Rutgers-New Jersey Medical School (R. Colangeli, H.J., U.D.C.V., S.C., A.G., D.A.), and the Department of Biostatistics, Rutgers School of Public Health (S.K., R. Connell), Newark; the Center for Infectious Disease Research, Seattle (S.M., D.R.S.); the Centers for Di
  • Dietze R; From the Department of Medicine, Rutgers-New Jersey Medical School (R. Colangeli, H.J., U.D.C.V., S.C., A.G., D.A.), and the Department of Biostatistics, Rutgers School of Public Health (S.K., R. Connell), Newark; the Center for Infectious Disease Research, Seattle (S.M., D.R.S.); the Centers for Di
  • Boom WH; From the Department of Medicine, Rutgers-New Jersey Medical School (R. Colangeli, H.J., U.D.C.V., S.C., A.G., D.A.), and the Department of Biostatistics, Rutgers School of Public Health (S.K., R. Connell), Newark; the Center for Infectious Disease Research, Seattle (S.M., D.R.S.); the Centers for Di
  • Johnson JL; From the Department of Medicine, Rutgers-New Jersey Medical School (R. Colangeli, H.J., U.D.C.V., S.C., A.G., D.A.), and the Department of Biostatistics, Rutgers School of Public Health (S.K., R. Connell), Newark; the Center for Infectious Disease Research, Seattle (S.M., D.R.S.); the Centers for Di
  • Mac Kenzie WR; From the Department of Medicine, Rutgers-New Jersey Medical School (R. Colangeli, H.J., U.D.C.V., S.C., A.G., D.A.), and the Department of Biostatistics, Rutgers School of Public Health (S.K., R. Connell), Newark; the Center for Infectious Disease Research, Seattle (S.M., D.R.S.); the Centers for Di
  • Alland D; From the Department of Medicine, Rutgers-New Jersey Medical School (R. Colangeli, H.J., U.D.C.V., S.C., A.G., D.A.), and the Department of Biostatistics, Rutgers School of Public Health (S.K., R. Connell), Newark; the Center for Infectious Disease Research, Seattle (S.M., D.R.S.); the Centers for Di
N Engl J Med ; 379(9): 823-833, 2018 Aug 30.
Article em En | MEDLINE | ID: mdl-30157391
BACKGROUND: Approximately 5% of patients with drug-susceptible tuberculosis have a relapse after 6 months of first-line therapy, as do approximately 20% of patients after 4 months of short-course therapy. We postulated that by analyzing pretreatment isolates of Mycobacterium tuberculosis obtained from patients who subsequently had a relapse or were cured, we could determine any correlations between the minimum inhibitory concentration (MIC) of a drug below the standard resistance breakpoint and the relapse risk after treatment. METHODS: Using data from the Tuberculosis Trials Consortium Study 22 (development cohort), we assessed relapse and cure isolates to determine the MIC values of isoniazid and rifampin that were below the standard resistance breakpoint (0.1 µg per milliliter for isoniazid and 1.0 µg per milliliter for rifampin). We combined this analysis with clinical, radiologic, and laboratory data to generate predictive relapse models, which we validated by analyzing data from the DMID 01-009 study (validation cohort). RESULTS: In the development cohort, the mean (±SD) MIC of isoniazid below the breakpoint was 0.0334±0.0085 µg per milliliter in the relapse group and 0.0286±0.0092 µg per milliliter in the cure group, which represented a higher value in the relapse group by a factor of 1.17 (P=0.02). The corresponding MIC values of rifampin were 0.0695±0.0276 and 0.0453±0.0223 µg per milliliter, respectively, which represented a higher value in the relapse group by a factor of 1.53 (P<0.001). Higher MIC values remained associated with relapse in a multivariable analysis that included other significant between-group differences. In an analysis of receiver-operating-characteristic curves of relapse based on these MIC values, the area under the curve (AUC) was 0.779. In the development cohort, the AUC in a multivariable model that included MIC values was 0.875. In the validation cohort, the MIC values either alone or combined with other patient characteristics were also predictive of relapse, with AUC values of 0.964 and 0.929, respectively. The use of a model score for the MIC values of isoniazid and rifampin to achieve 75.0% sensitivity in cross-validation analysis predicted relapse with a specificity of 76.5% in the development cohort and a sensitivity of 70.0% and a specificity of 100% in the validation cohort. CONCLUSIONS: In pretreatment isolates of M. tuberculosis with decrements of MIC values of isoniazid or rifampin below standard resistance breakpoints, higher MIC values were associated with a greater risk of relapse than lower MIC values. (Funded by the National Institute of Allergy and Infectious Diseases.).
Assuntos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Rifampina / Tuberculose / Farmacorresistência Bacteriana / Isoniazida / Mycobacterium tuberculosis / Antituberculosos Tipo de estudo: Clinical_trials / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male Idioma: En Revista: N Engl J Med Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Rifampina / Tuberculose / Farmacorresistência Bacteriana / Isoniazida / Mycobacterium tuberculosis / Antituberculosos Tipo de estudo: Clinical_trials / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male Idioma: En Revista: N Engl J Med Ano de publicação: 2018 Tipo de documento: Article