Low CD4 count plus coma predicts cryptococcal meningitis in Tanzania.

BACKGROUND: Largely due to the lack of diagnostic reagents, the prevalence and clinical presentation of cryptococcal meningitis in Tanzania is poorly understood. This in turn is limiting the impact of increased fluconazole availability. METHODS: We evaluated a cohort of 149 consecutive HIV-infected adult inpatients presenting with headache or altered mental status for clinical features, CD4 count, cryptococcal infection, and outcome. Cryptococcal meningitis was diagnosed via India ink and latex agglutination assay of CSF (n = 24 and 40 positive, respectively). Associations between cryptococcal meningitis and clinical features were evaluated by t-test. The sensitivity, specificity, and positive likelihood ratio of such features were determined. RESULTS: Cryptococcal meningitis was associated with confusion, social withdrawal, seizures, fever, tachycardia, meningismus, oral candidiasis, and low Glasgow coma scales and CD4 count. CD4 count < 100/mul provided the highest sensitivity for the diagnosis (93%), coma (Glasgow coma scale < or = 8) provided the highest specificity (84%), and the combination provided the highest positive likelihood ratio (3.8). All cryptococcal meningitis patients were initiated on 800 milligrams of fluconazole daily and 50% survived to discharge, however no clinical or laboratory findings correlated with prognosis. CONCLUSION: Cryptococcal meningitis is common among Tanzanian HIV inpatients presenting with headache or altered mental status. Purely clinical features are insensitive for establishing the diagnosis or prognosis. We advocate expanding laboratory capacity for cryptococcal antigen testing to maximize survival.

Real-time PCR detection and speciation of Cryptosporidium infection using Scorpion probes.

At least eight species of Cryptosporidium can cause human infection and disease. A real-time PCR (qPCR) assay based on the 18S rRNA gene and utilizing a Scorpion probe was developed to detect all human-pathogenic Cryptosporidium without the usual need for nested amplification. Sensitivity of detection in stool samples was highest using a glass bead-based DNA extraction method (under 10(3) oocysts per stool sample). The assay was validated against 123 human stool specimens from Bangladesh and Tanzania, exhibited a sensitivity and specificity of >91% versus microscopy, and detected an additional eight microscopy-negative infections. Cryptosporidium parvum-specific and Cryptosporidium meleagridis-specific Scorpion qPCR assays that provided 100% accurate speciation compared with VspI RFLP analysis and sequencing were developed subsequently. These Scorpion probe qPCR assays are simpler to perform than existing nested PCR and RFLP methods for diagnosis and epidemiological investigation of cryptosporidiosis.