A new predictive model for an improved respiratory isolation strategy in HIV-infected patients with PTB

Int J Tuberc Lung Dis. 2014 Jul;18(7):831-6. doi: 10.5588/ijtld.13.0588.

Abstract

Setting: Luigi Sacco Hospital, Milan, Italy, 1 January 2000-31 December 2010.

Objectives: To develop a predictive score for identifying human immunodeficiency virus (HIV) infected patients with pulmonary tuberculosis (PTB).

Design: 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.

Results: 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.

Conclusions: This model may be useful in predicting PTB in HIV patients in low-endemic countries. A validation study is necessary.

MeSH terms

  • Adult
  • Female
  • HIV Infections / epidemiology*
  • Humans
  • Italy / epidemiology
  • Likelihood Functions
  • Male
  • Models, Statistical*
  • Predictive Value of Tests
  • ROC Curve
  • Retrospective Studies
  • Risk Factors
  • Tuberculosis, Pulmonary / epidemiology*