Validation of a diagnostic algorithm for adult tuberculous meningitis.
Tuberculous meningitis (TBM) remains difficult to diagnose. We prospectively evaluated a diagnostic algorithm for TBM in 205 HIV-negative patients with meningitis and a low CSF glucose. Patients were classified as having TBM or bacterial meningitis (BM) by two diagnostic methods: logistic regression method (LRM) and classification and regression tree (CART). We performed analyses of TBM versus BM and TBM versus non-TBM in all patients and in patients with microbiologically confirmed diagnoses. Diagnostic sensitivities for TBM were 99% (LRM) and 87% (CART). For BM, diagnostic sensitivities were 81.5% (LRM) and 86.5% (CART) in the primary analysis and 86.5% (LRM) and 74% (CART) in the secondary analysis. In microbiologically confirmed cases, similar rates were achieved. These figures are superior to microbiological confirmation rates in routine laboratories and support the use of this algorithm in high-prevalence TB settings with limited diagnostic facilities. Validation in an HIV-endemic setting is required.
Török
M Estee
ME
Oxford University Clinical Research Unit, Hospital for Tropical Diseases, Ho Chi Minh City, Viet Nam. etorok@oucru@org
Nghia
Ho Dang Trung
HD
Chau
Tran Thi Hong
TT
Mai
Nguyen Thi Hoang
NT
Thwaites
Guy E
GE
Stepniewska
Kasia
K
Farrar
Jeremy J
JJ
D000328:Adult; D000465:Algorithms; D001419:Bacteria / Q000145:classification / Q000302:isolation & purification; D006801:Humans; D011237:Predictive Value of Tests; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014390:Tuberculosis, Meningeal / Q000175:diagnosis* / Q000382:microbiology