

PERISKOPE-CM was developed using individual-level data from two randomised-controlled trials of HIV-associated cryptococcal meningitis across eight sub-Saharan African countries (ACTA, ISRCTN45035509; AMBITION-CM, ISRCTN72509687). We used this pooled dataset to develop and validate multivariable logistic regression models for 2-week and 10-week mortality.
To generate ‘basic’ model predictions, the following predictors are required: age, weight, ECOG performance status, Glasgow coma scale, presence of seizures, haemoglobin and neutrophil count.
To generate ‘research’ model predictions, the following predictors are additionally required: CSF quantitative fungal culture, CSF opening pressure and CSF white cell count.
Full methodological details can be found in our preprint here. The PERISKOPE-CM tool assumes that standard treatment is provided according to WHO guidance – including antifungal therapy, monitoring for drug toxicities and management of raised intracranial pressure.
Our website was built using OpenStack, Shiny Server and Bootstrap. Our logo and landing page were designed by Paul Donnelly. Web development for PERISKOPE-CM was done by Wai Shing Lai.
PERISKOPE-CM is currently for research use only and is not intended for use to inform clinical decisions in routine care.
Please email us for any general enquiries or technical issues.