Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/50210
Title: Screening scheme development for active TB prediction among HIV-infected patients
Authors: Sirisak Nanta
Patcharee Kantipong
Panita Pathipvanich
Chidchanok Ruengorn
Chamaiporn Tawichasri
Jayanton Patumanond
Authors: Sirisak Nanta
Patcharee Kantipong
Panita Pathipvanich
Chidchanok Ruengorn
Chamaiporn Tawichasri
Jayanton Patumanond
Keywords: Medicine
Issue Date: 1-Jul-2011
Abstract: The objective of this study was to develop and evaluate a simple scoring scheme to screen for active tuberculosis (TB) among HIV-infected patients. Two hundred fifty-seven HIV-infected patients were enrolled in the study between April 2009 and May 2010 from Mae Sai District Hospital and Lampang Regional Hospital. Participants underwent routine evaluations to diagnose TB. Data collection included demographics, medical history, signs and symptoms and laboratory results. Of the 257 HIV-infected patients enrolled, 66 (25.7%) were diagnosed with active TB. Six variables were statistically significant predictors of active TB (p<0.05): BMI ≤19 kg/m2, cough >2 weeks, shaking chills ≥1 week, not taking antiretroviral drugs, a CD4+ cell count level ≤200 cells/μl, and had a history of TB. A risk score (ranging from 0 to 16) gave a 92.1% sensitivity of being associated with active TB. A low risk score (≤ 2.0), a moderate risk score (3.0-7.0), and a high risk score (>7.0) gave positive likelihood ratios (LHR+) of 0.04 (95%CI 0.01-0.24), 2.56 (95%CI 1.71-3.85), and 11.72 (95%CI 4.91-27.96), respectively. This screening tool may be useful to identify patients who should have further diagnostic testing for TB, but requires further validation before adoption due to the variability of predicting factors and the prevalence of TB in the target population.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=80054914710&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/50210
ISSN: 01251562
Appears in Collections:CMUL: Journal Articles

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