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  Vol. 165 No. 4, February 28, 2005 TABLE OF CONTENTS
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Prospective Validation of a Prediction Model for Isolating Inpatients With Suspected Pulmonary Tuberculosis

Juan P. Wisnivesky, MD, MPH; Claudia Henschke, PhD, MD; Jerry Balentine, DO; Courtney Willner, DO; Amy Margolis Deloire, DO; Thomas G. McGinn, MD, MPH

Arch Intern Med. 2005;165:453-457.

Background  Current guidelines for the control of nosocomial transmission of tuberculosis (TB) recommend respiratory isolation for all patients with suspected TB. Application of these guidelines has resulted in many patients without TB being isolated on admission to the hospital, significantly increasing hospital costs. This study was conducted to prospectively validate a clinical decision rule to predict the need for respiratory isolation in inpatients with suspected TB.

Methods  A cohort of 516 individuals, who presented to 2 New York City hospitals between January 16, 2001, and September 29, 2002, and who were isolated on admission for clinically suspected TB, were enrolled in the study. Face-to-face interviews were conducted to determine the presence of clinical variables associated with TB in the prediction model, including TB risk factors, clinical symptoms, and findings from physical examination and chest radiography.

Results  Of the 516 patients, 19 were found to have TB (prevalence, 3.7%; 95% confidence interval [CI], 2.2%-5.7%). The prediction rule had a sensitivity of 95% (95% CI, 74%-100%) and a specificity of 35% (95% CI, 31%-40%). Using a prevalence of TB of 3.7%, the positive predictive value was 9.6% and the negative predictive value was 99.7%.

Conclusions  Among inpatients with suspected active pulmonary TB who are isolated on admission to the hospital, a prediction rule based on clinical and chest radiographic findings accurately identified patients at low risk for TB. Approximately one third of the unnecessary episodes of respiratory isolation could have been avoided had the prediction rule been applied. Future studies should assess the feasibility of implementing the rule in clinical practice.


Author Affiliations: Divisions of General Internal Medicine (Drs Wisnivesky and McGinn) and Pulmonary, Critical Care, and Sleep Medicine (Dr Wisnivesky), Mount Sinai Medical Center, New York, NY; Department of Radiology, Weill Medical College of Cornell University, New York (Dr Henschke); and Department of Medicine, St Barnabas Hospital, Bronx, NY (Drs Balentine, Willner, and Margolis Deloire).



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RELATED LETTERS

Additional Information Can Enhance Validation of Tuberculosis Isolation Prediction Model
Bruce Y. Lee and Esther H. Chen
Arch Intern Med. 2005;165(15):1794.
EXTRACT | FULL TEXT  

A Prediction Model for Isolating Inpatients With Suspected Pulmonary Tuberculosis
Pierre Tattevin and Elisabeth Bouvet
Arch Intern Med. 2005;165(15):1794-1795.
EXTRACT | FULL TEXT  

A Prediction Model for Isolating Inpatients With Suspected Pulmonary Tuberculosis—Reply
Juan P. Wisnivesky and Thomas G. McGinn
Arch Intern Med. 2005;165(15):1795.
EXTRACT | FULL TEXT  


THIS ARTICLE HAS BEEN CITED BY OTHER ARTICLES

Feasibility of Shortening Respiratory Isolation with a Single Sputum Nucleic Acid Amplification Test
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Am. J. Respir. Crit. Care Med. 2008;178:300-305.
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Additional Information Can Enhance Validation of Tuberculosis Isolation Prediction Model
Lee and Chen
Arch Intern Med 2005;165:1794-1794.
FULL TEXT  

A Prediction Model for Isolating Inpatients With Suspected Pulmonary Tuberculosis--Reply
Wisnivesky and McGinn
Arch Intern Med 2005;165:1795-1795.
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A Prediction Model for Isolating Inpatients With Suspected Pulmonary Tuberculosis
Tattevin and Bouvet
Arch Intern Med 2005;165:1794-1795.
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