Background Cryptococcal meningitis is a leading cause of HIV-related mortality in sub-Saharan Africa. Based on phase-II data, we performed a phase-III randomized controlled non-inferiority trial to determine the efficacy of a single high-dose liposomal amphotericin B based treatment regimen. Methods HIV-positive adults with cryptococcal meningitis in Botswana, Malawi, South Africa, Uganda and Zimbabwe were randomized 1:1 to induction therapy of either (i) single, high-dose liposomal amphotericin B 10mg/kg given with 14 days of flucytosine 100mg/kg/day and fluconazole 1200mg/day (AmBisome group), or (ii) the current WHO recommended treatment of 7 daily doses of amphotericin B deoxycholate (1mg/kg/day) plus flucytosine (100mg/kg/day), followed by 7 days of fluconazole 1200mg/day (control group). The primary endpoint was all-cause mortality at 10 weeks with the trial powered to show non-inferiority at a 10% margin. Results We randomized 844 participants. None were lost-to-follow-up. In intention-to-treat analysis, 10-week mortality was 24.8% (101 of 407; 95% confidence interval [CI] 20.7-29.3%) in the AmBisome group and 28.7% (117 of 407; 95% CI 24.4-33.4%) in controls. The absolute difference in mortality was -3.9%, with an upper 1-sided 95% confidence interval of 1.2%. Fungal clearance from cerebrospinal fluid was -0.40 log 10 CFU/ml/day in the AmBisome group and -0.42 log 10 CFU/ml/day in the control group. Fewer participants experienced grade 3 or 4 adverse events in the AmBisome group than the control group (50.0% vs. 62.3%). Conclusions Single dose liposomal amphotericin B (10mg/kg) on a backbone of flucytosine and fluconazole was non-inferior to the current WHO recommended standard of care for HIV-associated cryptococcal meningitis and associated with fewer adverse events. (Trial registration number: ISRCTN72509687.)

The epidemiology of infectious causes of meningitis in sub-Saharan Africa is not well understood, and a common cause of meningitis in this region, Mycobacterium tuberculosis (TB), is notoriously hard to diagnose. Here we show that integrating cerebrospinal fluid (CSF) metagenomic next-generation sequencing (mNGS) with a host gene expression-based machine learning classifier (MLC) enhances diagnostic accuracy for TB meningitis (TBM) and its mimics. 368 HIV-infected Ugandan adults with subacute meningitis were prospectively enrolled. Total RNA and DNA CSF mNGS libraries were sequenced to identify meningitis pathogens. In parallel, a CSF host transcriptomic MLC to distinguish between TBM and other infections was trained and then evaluated in a blinded fashion on an independent dataset. mNGS identifies an array of infectious TBM mimics (and co-infections), including emerging, treatable, and vaccine-preventable pathogens including Wesselsbron virus, Toxoplasma gondii, Streptococcus pneumoniae, Nocardia brasiliensis, measles virus and cytomegalovirus. By leveraging the specificity of mNGS and the sensitivity of an MLC created from CSF host transcriptomes, the combined assay has high sensitivity (88.9%) and specificity (86.7%) for the detection of TBM and its many mimics. Furthermore, we achieve comparable combined assay performance at sequencing depths more amenable to performing diagnostic mNGS in low resource settings.

Introduction Tuberculous meningitis accounts for 1-5% of tuberculosis cases. Diagnostic delay contributes to poor outcomes. We evaluated the performance of the new Xpert MTB/RIF Ultra (Xpert Ultra) for tuberculous meningitis diagnosis. Methods In this prospective validation study, we tested the cerebrospinal fluid (CSF) of adults presenting with suspected meningitis (ie, headache or altered mental status with clinical signs of meningism) to the Mulago National Referral Hospital and Mbarara Regional Referral Hospital in Uganda. We centrifuged the CSF, resuspended the cell pellet in 2 mL CSF, and tested 0•5 mL aliquots with Xpert Ultra, Xpert MTB/RIF (Xpert), and mycobacterial growth indicator tube (MGIT) culture. We quantified diagnostic performance against the uniform case definition of probable or definite tuberculous meningitis and a composite microbiological reference standard. Findings From Nov 25, 2016, to Jan 24, 2019, we screened 466 adults with suspected meningitis and tested 204 for tuberculous meningitis. Uniform clinical case definition classified 51 participants as having probable or definite tuberculous meningitis. Against this uniform case definition, Xpert Ultra had 76•5% sensitivity (95% CI 62•5-87•2; 39 of 51 patients) and a negative predictive value of 92•7% (87•6-96•2; 153 of 165), compared with 55•6% sensitivity (44•0-70•4; 25 of 45; p=0•0010) and a negative predictive value of 85•8% (78•9-91•1; 121 of 141) for Xpert and 61•4% sensitivity (45•5-75•6; 27 of 44; p=0•020) and negative predictive value of 85•2% (77•4-91•1; 98 of 115) for MGIT culture. Against the composite microbiological reference standard, Xpert Ultra had sensitivity of 92•9% (80•5-98•5; 39 of 42), higher than Xpert at 65•8% (48•6-80•4; 25 of 38; p=0•0063) and MGIT culture at 72•2% (55•9-86•2; 27 of 37; p=0•092). Xpert Ultra detected nine tuberculous meningitis cases missed by Xpert and MGIT culture. Interpretation Xpert Ultra detected tuberculous meningitis with higher sensitivity than Xpert and MGIT culture in this HIV-positive population. However, with a negative predictive value of 93%, Xpert Ultra cannot be used as a ruleout test. Clinical judgment and novel highly sensitive point-of-care tests are still required.