This ensemble of phylogenetic profiles, together with the species tree, formed the input of our birth-death analyses.
13 Model inputs on the risk of death were taken from a combination of sources.
The coefficients of the final model were built into a spreadsheet-based calculation interface which places any patient, with given input data, in terms of probability-of-death percentage range, given the percentage points observed on our sample of patients.
Without medical input concerning the exact cause of death, this case would be coded as a 30-day mortality without major complication.
Logistic regression was used to determine the odds ratios for the outcome of death using input terms found to have significant association with death in 2 × 2 analysis or known to have a published biologic relationship to adverse outcomes in malaria: presence of CM, hypoxia, severe thrombocytopenia, leukocytosis, LA, hyper-parasitemia, SMA, Hb S, blood group A, age < 1.5 years, and female sex.
The results of the model are driven by many different input parameters, including the probabilities of death, remission, relapse, recurrence, discontinuation and adverse event for each therapy option, as well as the corresponding utility values and cost associated with each health state.
InterVA-4 is based on the World Health Organization 2012 VA tool in terms of input indicators and categories of causes of death.
It builds on experience with previous InterVA models but brings a new standard of VA interpretation by conforming to the 2012 WHO VA instrument in terms of cause of death categories and input indicators.
The revised InterVA-4 brings on a new standard of interpreting VA that fits into the WHO VA instrument in terms of cause of death categories and input indicators (14).
Tables of cause of death categories and input indicators from the 2012 WHO VA instrument as handled by InterVA-4 are included in the InterVA-4 User Guide (Supplementary Material).
