Optimizing Tuberculosis Diagnosis in Human Immunodeficiency Virus–Infected Inpatients Meeting the Criteria of Seriously Ill in the World Health Organization Algorithm. (6th November 2017)

• Record Type: Journal Article
• Authors: Griesel, Rulan; Stewart, Annemie; van der Plas, Helen; Sikhondze, Welile; Rangaka, Molebogeng X; Nicol, Mark P; Kengne, Andre P; Mendelson, Marc; Maartens, Gary
• Is Part Of: Clinical infectious diseases. Volume 66:Number 9(2018)
• Page Start: 1419
• Page End: 1426
• Publication Date: 2017-11-06
• Subjects: HIV -- tuberculosis diagnosis -- WHO algorithm -- inpatients -- Xpert MTB/RIF assay; Communicable diseases -- Periodicals; 616.905
• DOI: 10.1093/cid/cix988
• Languages: English
• ISSNs: 1058-4838

Abstract

Abstract : We assessed the World Health Organization algorithm for diagnosing tuberculosis in seriously ill Human Immunodeficiency Virus-infected inpatients and developed a clinical prediction rule with good diagnostic utility. The Xpert MTB/RIF assay showed high sensitivity, especially when performed on induced rather than spontaneously expectorated sputum. Abstract: Background: The World Health Organization (WHO) algorithm for the diagnosis of tuberculosis in seriously ill human immunodeficiency virus (HIV)–infected patients lacks a firm evidence base. We aimed to develop a clinical prediction rule for the diagnosis of tuberculosis and to determine the diagnostic utility of the Xpert MTB/RIF assay in seriously ill HIV-infected patients. Methods: We conducted a prospective study among HIV-infected inpatients with any cough duration and WHO-defined danger signs. Culture-positive tuberculosis from any site was the reference standard. A priori selected variables were assessed for univariate associations with tuberculosis. The most predictive variables were assessed in a multivariate logistic regression model and used to establish a clinical prediction rule for diagnosing tuberculosis. Results: We enrolled 484 participants. The median age was 36 years, 65.5% were female, the median CD4 count was 89 cells/µL, and 35.3% were on antiretroviral therapy. Tuberculosis was diagnosed in 52.7% of participants. The c-statistic of our clinical prediction rule (variables: cough ≥14 days, unable to walk unaided, temperature >39°C, chest radiograph assessment, hemoglobin, and white cell count) was 0.811 (95% confidence interval, .802–.819). The classic tuberculosis symptoms (fever, night sweats, weight loss) added no discriminatory value in diagnosing tuberculosis. Xpert MTB/RIF assay sensitivity was 86.3% and specificity was 96.1%. Conclusions: Our clinical prediction rule had good diagnostic utility for tuberculosis among seriously ill HIV-infected inpatients. Xpert MTB/RIF assay, incorporated into the updated 2016 WHO algorithm, had high sensitivity and specificity in this population. Our findings could facilitate improved diagnosis of tuberculosis among seriously ill HIV-infected inpatients in resource-constrained settings.