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Review of Nucleic Acid Amplification Tests and Clinical Prediction Rules for Diagnosis of Tuberculosis in Acute Care Facilities

Published online by Cambridge University Press:  13 July 2015

Amit S. Chitnis*
Affiliation:
Tuberculosis Control Branch, Division of Communicable Disease Control, Center for Infectious Diseases, California Department of Public Health, Richmond, California
J. Lucian Davis
Affiliation:
Department of Epidemiology of Microbial Diseases, School of Public Health, and Division of Pulmonary, Critical Care, & Sleep Medicine, School of Medicine, Yale University, New Haven, Connecticut
Gisela F. Schecter
Affiliation:
Tuberculosis Control Branch, Division of Communicable Disease Control, Center for Infectious Diseases, California Department of Public Health, Richmond, California
Pennan M. Barry
Affiliation:
Tuberculosis Control Branch, Division of Communicable Disease Control, Center for Infectious Diseases, California Department of Public Health, Richmond, California
Jennifer M. Flood
Affiliation:
Tuberculosis Control Branch, Division of Communicable Disease Control, Center for Infectious Diseases, California Department of Public Health, Richmond, California
*
Address correspondence to Amit S. Chitnis, MD, MPH, 850 Marina Bay Parkway, Building P, 2nd Floor, Richmond, CA 94804 (amitschitnis@gmail.com).
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Abstract

Tuberculosis (TB) remains an important cause of hospitalization and mortality in the United States. Prevention of TB transmission in acute care facilities relies on prompt identification and implementation of airborne isolation, rapid diagnosis, and treatment of presumptive pulmonary TB patients. In areas with low TB burden, this strategy may result in inefficient utilization of airborne infection isolation rooms (AIIRs). We reviewed TB epidemiology and diagnostic approaches to inform optimal TB detection in low-burden settings. Published clinical prediction rules for individual studies have a sensitivity ranging from 81% to 100% and specificity ranging from 14% to 63% for detection of culture-positive pulmonary TB patients admitted to acute care facilities. Nucleic acid amplification tests (NAATs) have a specificity of >98%, and the sensitivity of NAATs varies by acid-fast bacilli sputum smear status (positive smear, ≥95%; negative smear, 50%–70%). We propose an infection prevention strategy using a clinical prediction rule to identify patients who warrant diagnostic evaluation for TB in an AIIR with an NAAT. Future studies are needed to evaluate whether use of clinical prediction rules and NAATs results in optimized utilization of AIIRs and improved detection and treatment of presumptive pulmonary TB patients.

Infect Control Hosp Epidemiol 2015;36(10):1215–1225

Information

Type
Review Article
Copyright
© 2015 by The Society for Healthcare Epidemiology of America. All rights reserved 
Figure 0

TABLE 1Clinical Prediction Rules for Detection of Pulmonary Tuberculosis among Patients Admitted to Acute Care Hospitalsa

Figure 1

FIGURE 1Example clinical prediction rule based on Rakoczy et al.41

Figure 2

FIGURE 2Diagnostic evaluation of patients at high-risk for pulmonary tuberculosis in acute care facilities. NOTE. AIIR: airborne infection isolation room; AFB: acid-fast bacilli; NAAT: nucleic acid amplification test; TB: tuberculosis. aEither a clinical prediction rule that is published or based on local epidemiology of pulmonary TB. See Figure 1 for an example. bThe decision to test 1 or 2 sputum specimens with an NAAT will depend on the type of NAAT used (eg, Xpert® assay or laboratory-developed test) and on clinical factors such as suspicion for TB and confirmation of an alternative diagnosis, laboratory findings including AFB sputum smear results and the quality of the sputum specimen, and radiographic findings. cDetermine the type of NAAT used by the laboratory, and the occurrence of false-negative results for this type of NAAT due to presence of inhibitors. If inhibitors are detected, then an additional sputum specimen will need to be sent for an NAAT. dLaboratory confirmation of an alternative diagnosis (eg, nontuberculous mycobacteria detected from a respiratory specimen, or non-small cell lung cancer confirmed based on pathology specimen from a lung biopsy). eAn example of an alternative diagnosis for which there may be higher suspicion than that for TB may be in a patient with post-obstructive pneumonia with a right upper lobe infiltrate that radiographically appears to be due to lung cancer. fFor high-risk TB patients who have a sputum specimen that is AFB sputum smear-negative but NAAT positive, additional diagnostic specimens (eg, sputum specimens) may be needed in order to obtain an isolate of Mycobacterium tuberculosis complex. gExamples of coexisting medical conditions and demographic factors that increase patient risk for progression to active TB disease include: human immunodeficiency virus infection; use of TNF-α antagonist; or conversion of a tuberculin skin test or interferon-γ release assay. hResidents of congregate facilities include persons in homeless shelters, prisons, jails, drug rehabilitation or mental health facilities, and end-stage renal disease patients undergoing dialysis at a dialysis facility.