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Computed tomography in predicting smear-negative pulmonary tuberculosis in AIDS patients
Feng Feng1, Yu-Xin Shi, Gan-Lin Xia
1Department of Radiology, Shanghai Public Health Clinic Center Affiliated to Fudan University, Shanghai 201508, China.
Chinese Medical Journal
|September 17, 2013
Summary
Diagnosing pulmonary tuberculosis in patients with acquired immunodeficiency syndrome (AIDS) is crucial. A prediction model using computed tomography (CT) and clinical data accurately identifies smear-negative tuberculosis in AIDS patients.
Area of Science:
- Medical Imaging
- Infectious Diseases
- Pulmonology
Background:
- Accurate diagnosis of sputum smear-negative pulmonary tuberculosis is vital for treating patients with acquired immunodeficiency syndrome (AIDS).
- Computed tomography (CT) and clinical findings may aid in diagnosing this condition.
Purpose of the Study:
- To evaluate the diagnostic value of CT and clinical findings for smear-negative pulmonary tuberculosis in AIDS patients.
Main Methods:
- 121 AIDS patients with suspected smear-negative pulmonary tuberculosis were analyzed.
- Univariate and multivariate logistic regression identified CT and clinical predictors.
- A prediction score was developed based on independent predictors.
Main Results:
- Five independent predictors were identified: weight loss, miliary nodules, necrotic lymph node, lobular consolidation, and tree-in-bud sign.
- A prediction score of 3 demonstrated high diagnostic performance: 84.2% sensitivity, 81.2% specificity, 80.0% positive predictive value, 85.2% negative predictive value, and 82.6% accuracy.
- The model effectively identified pulmonary tuberculosis in AIDS patients.
Conclusions:
- A prediction method integrating five clinical and CT findings is valuable for diagnosing smear-negative pulmonary tuberculosis in AIDS patients.
- This approach can guide diagnostic decisions and improve patient management.
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