Open AccessA Clinical Prediction Model for Unsuccessful Pulmonary Tuberculosis Treatment Outcomes
Author(s) -
Lauren S Peetluk,
Peter F Rebeiro,
Felipe Ridolfi,
Bruno B. Andrade,
Marcelo Cordeiro-Santos,
Afrânio Lineu Kritski,
Betina Durovni,
Solange Calvacante,
Marina C. Figueiredo,
David W. Haas,
Dandan Liu,
Valéria Cavalcanti Rolla,
Timothy R. Sterling
Publication year - 2021
Publication title -
clinical infectious diseases/clinical infectious diseases (online. university of chicago. press)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.44
H-Index - 336
eISSN - 1537-6591
pISSN - 1058-4838
DOI - 10.1093/cid/ciab598
Subject(s) - medicine , pulmonary tuberculosis , tuberculosis , intensive care medicine , pathology
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.