Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/44877

TitleA prediction rule to stratify mortality risk of patients with pulmonary tuberculosis
Author(s)Bastos, Hélder Novais
Osório, Nuno S.
Castro, António G.
Ramos, Angélica
Carvalho, Teresa
Meira, Leonor
Araújo, David
Almeida, Leonor
Boaventura, Rita
Fragata, Patrícia
Chaves, Catarina
Costa, Patrício Soares
Portela, Miguel
Ferreira, Ivo Ricardo Silva
Magalhães, Sara Pinto
Rodrigues, Fernando José dos Santos
Castro, Rui Manuel Rosário Sarmento
Duarte, Raquel
Guimarães, João Tiago
Saraiva, Margarida
Issue dateSep-2016
PublisherPublic Library of Science
JournalPLoS ONE
CitationBastos, H. N., Osório, N. S., Castro, A. G., Ramos, A., et. al. (2016). A Prediction Rule to Stratify Mortality Risk of Patients with Pulmonary Tuberculosis. PloS one, 11(9), e0162797. doi: 10.1371/journal.pone.0162797
Abstract(s)Tuberculosis imposes high human and economic tolls, including in Europe. This study was conducted to develop a severity assessment tool for stratifying mortality risk in pulmonary tuberculosis (PTB) patients. A derivation cohort of 681 PTB cases was retrospectively reviewed to generate a model based on multiple logistic regression analysis of prognostic variables with 6-month mortality as the outcome measure. A clinical scoring system was developed and tested against a validation cohort of 103 patients. Five risk features were selected for the prediction model: hypoxemic respiratory failure (OR 4.7, 95% CI 2.8-7.9), age >= 50 years (OR 2.9, 95% CI 1.7-4.8), bilateral lung involvement (OR 2.5, 95% CI 1.44.4), >= 1 significant comorbidity-HIV infection, diabetes mellitus, liver failure or cirrhosis, congestive heart failure and chronic respiratory disease-(OR 2.3, 95% CI 1.3-3.8), and hemoglobin < 12 g/dL (OR 1.8, 95% CI 1.1-3.1). A tuberculosis risk assessment tool (TReAT) was developed, stratifying patients with low (score <= 2), moderate (score 3-5) and high (score >= 6) mortality risk. The mortality associated with each group was 2.9%, 22.9% and 53.9%, respectively. The model performed equally well in the validation cohort. We provide a new, easy-to-use clinical scoring system to identify PTB patients with high-mortality risk in settings with good healthcare access, helping clinicians to decide which patients are in need of closer medical care during treatment.
TypeArticle
URIhttp://hdl.handle.net/1822/44877
DOI10.1371/journal.pone.0162797
ISSN1932-6203
Publisher versionhttp://journals.plos.org/plosone/article?id=10.1371/journal.pone.0162797
Peer-Reviewedyes
AccessOpen access
Appears in Collections:ICVS - Artigos em Revistas Internacionais com Referee

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