Computed tomography in predicting smear-negative pulmonary tuberculosis in AIDS patients / 中华医学杂志(英文版)
Chinese Medical Journal
; (24): 3228-3233, 2013.
Article
in En
| WPRIM
| ID: wpr-354504
Responsible library:
WPRO
ABSTRACT
<p><b>BACKGROUND</b>The correct diagnosis of sputum smear-negative pulmonary tuberculosis in AIDS patients is very important to their therapy. We aimed to assess the value of the computed tomography (CT) and clinical findings in predicting smear-negative pulmonary tuberculosis in AIDS patients.</p><p><b>METHODS</b>A total of 121 AIDS patients suspected of smear-negative pulmonary tuberculosis by clinical and radiographic findings were recruited. Pulmonary tuberculosis was diagnosed in 57 (47.1%) patients. The CT and clinical predictors were selected to diagnose AIDS-related pulmonary tuberculosis through univariate and multivariate Logistic analysis.</p><p><b>RESULTS</b>Multivariate analysis showed that five variables, including weight loss, presence of miliary nodules, necrotic lymph node, lobular consolidation, tree-in-bud sign, were independent predictors of pulmonary tuberculosis in AIDS patients. Predicted scores based on the five variables were used to identify pulmonary tuberculosis. If the predicted score of 3 was taken as the ideal cut-off point in the diagnosis of AIDS-related smear-negative pulmonary tuberculosis, the sensitivity, specificity, positive predictive value, negative predictive value, and accuracy were 84.2%, 81.2%, 80.0%, 85.2%, and 82.6%, respectively.</p><p><b>CONCLUSION</b>The prediction method based on five key factors of clinical and CT findings are useful in guiding the diagnosis of smear-negative pulmonary tuberculosis in AIDS patients.</p>
Full text:
1
Index:
WPRIM
Main subject:
Sputum
/
Tuberculosis, Pulmonary
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Diagnostic Imaging
/
Radiography
/
Multivariate Analysis
/
Retrospective Studies
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Acquired Immunodeficiency Syndrome
/
Microbiology
Type of study:
Diagnostic_studies
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Observational_studies
/
Prognostic_studies
Limits:
Adult
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Female
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Humans
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Male
Language:
En
Journal:
Chinese Medical Journal
Year:
2013
Type:
Article