Carugati, MSchiroli, CZanini, FVanoni, NGalli, MAdorni, FFranzetti, F2024-01-252024-01-252014-071027-37191815-7920https://hdl.handle.net/10161/29824<h4>Setting</h4>Luigi Sacco Hospital, Milan, Italy, 1 January 2000-31 December 2010.<h4>Objectives</h4>To develop a predictive score for identifying human immunodeficiency virus (HIV) infected patients with pulmonary tuberculosis (PTB).<h4>Design</h4>Retrospective study based on the medical charts of HIV-infected patients admitted consecutively on presumption of PTB. Patients with culture-positive TB were included in the TB group. Culture-negative subjects formed the non-TB group. Risk factors for PTB were identified and a predictive model was developed. The diagnostic test accuracy of the derived score and that of previously developed scores were analysed.<h4>Results</h4>A total of 65 patients were included in the TB group and 505 subjects in the non-TB group. An eight-variable model (age, origin, alcohol use, respiratory rate, weight loss, haemoglobin, white blood cell count, typical chest X-ray) was derived. When compared with the different scores, this model showed the greatest area under the receiver operating characteristic curve (0.880). This score was the only one to present a negative likelihood ratio of <0.2, which is the threshold for giving strong diagnostic evidence against TB.<h4>Conclusions</h4>This model may be useful in predicting PTB in HIV patients in low-endemic countries. A validation study is necessary.HumansTuberculosis, PulmonaryHIV InfectionsModels, StatisticalLikelihood FunctionsRisk FactorsRetrospective StudiesPredictive Value of TestsROC CurveAdultItalyFemaleMaleA new predictive model for an improved respiratory isolation strategy in HIV-infected patients with PTB.Journal article