A Clinical Prediction Model for Unsuccessful Pulmonary Tuberculosis Treatment Outcomes.

ABSTRACT:

Background

Despite widespread availability of curative therapy, tuberculosis (TB) treatment outcomes remain suboptimal. Clinical prediction models can inform treatment strategies to improve outcomes. Using baseline clinical data, we developed a prediction model for unsuccessful TB treatment outcome and evaluated the incremental value of human immunodeficiency virus (HIV)-related severity and isoniazid acetylator status.

Methods

Data originated from the Regional Prospective Observational Research for Tuberculosis Brazil cohort, which enrolled newly diagnosed TB patients in Brazil from 2015 through 2019. This analysis included participants with culture-confirmed, drug-susceptible pulmonary TB who started first-line anti-TB therapy and had ≥12 months of follow-up. The end point

SUBMITTER: Peetluk LS 

PROVIDER: S-EPMC8946703 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature