دورية أكاديمية

Optimizing Tuberculosis Diagnosis in Human Immunodeficiency Virus-Infected Inpatients Meeting the Criteria of Seriously Ill in the World Health Organization Algorithm.

التفاصيل البيبلوغرافية
العنوان: Optimizing Tuberculosis Diagnosis in Human Immunodeficiency Virus-Infected Inpatients Meeting the Criteria of Seriously Ill in the World Health Organization Algorithm.
المؤلفون: Griesel, Rulan, Stewart, Annemie, van der Plas, Helen, Sikhondze, Welile, Rangaka, Molebogeng X, Nicol, Mark P, Kengne, Andre P, Mendelson, Marc, Maartens, Gary
المصدر: Clinical Infectious Diseases; 5/1/2018, Vol. 66 Issue 9, p1419-1426, 8p
مصطلحات موضوعية: TUBERCULOSIS diagnosis, ANTIRETROVIRAL agents, ALGORITHMS, BIOLOGICAL assay, BODY temperature, CHEST X rays, CONFIDENCE intervals, COUGH, CRITICALLY ill, FEVER, HEMOGLOBINS, HIV infections, HIV-positive persons, LEUCOCYTES, LONGITUDINAL method, MEDICAL quality control, MOVEMENT disorders, PATIENTS, PERSPIRATION, WEIGHT loss, MULTIPLE regression analysis, DESCRIPTIVE statistics, CD4 lymphocyte count
الشركة/الكيان: WORLD Health Organization
مستخلص: 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. [ABSTRACT FROM AUTHOR]
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قاعدة البيانات: Complementary Index
الوصف
تدمد:10584838
DOI:10.1093/cid/cix988