Tools and calculators

Correcting overall program-specific mortality for loss to follow-up

This calculator provides estimates of mortality (with 95% confidence intervals) in ART programs in sub-Saharan Africa that are corrected for loss to follow-up.

The calculation is based on the fact that overall corrected mortality (MC ) in patients that started ART is the average of mortality in patients retained in care (not lost to follow-up, MNL) and mortality in patients lost to follow-up (ML ), weighted by the proportion of patients lost to follow-up (r): ...

Prognostic model for mortality

This calculator provides estimates of mortality at one year (with 95% confidence intervals, 95% CI) for patients starting ART and remaining in the ART program in sub-Saharan Africa.

The CD4 cell count and HIV-1 viral load are important prognostic factors in patients on ART, but in many clinics in sub-Saharan Africa neither CD4 counts nor viral load are routinely available. We therefore developed two prognostic models, one including the CD4 count (the CD4 model) and an alternative model where CD4 count was replaced by total lymphocyte count and hemoglobin (the TLC/Hb model). ...

Prediction of weight and height z-scores in children

This web application can be used to predict weight-for-age z-scores (WAZ) and height-for-age z-scores (HAZ) trajectories by baseline age and z-score up to 3 years after starting ART for children aged 10 years and younger.

All weight/height measurements since the start of ART can be entered. The likely evolution of WAZ/HAZ is then shown for up to 3 years after ART initiation. The predictions for a particular child are adjusted each time more values are entered. The expected range of values for an HIV positive child with the same baseline age and WAZ categories and suppressed viral load values are also shown as shaded areas. Since past data can be stored, the user must log-in and create an account. ...

Generalized multistate simulation model (gems): simulate and analyze multistate
models with general hazard functions.

gems provides functionality for the preparation of hazard functions and parameters, simulation from a general multistate model and predicting future events. The multistate model is not required to be a Markov model and may take the history of previous events into account. In the basic version, it allows to simulate from transition-specific hazard function, whose parameters are multivariable normally distributed. . ...

A cost-effectiveness tool

This tool allows you to compare the cost-effectiveness of a range of monitoring strategies of ART, including clinical monitoring, CD4 monitoring, targeted viral load monitoring, and routine viral load monitoring either with a qualitative POC test or a fully quantitative laboratory test. ...

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