About

The Early ICAHT Prediction Models (eIPMs) allow you to predict a patient's probability of developing grade 3-4 early ICAHT based on pre-lymphodepletion and/or early post-infusion factors.

Additional information on the development and performance of these models can be found in the manuscript: Liang EC et al. Development and validation of predictive models of early immune effector cell-associated hematotoxicity (eIPMs). Blood Advances. 2024.

This application was developed in partnership with the Fred Hutch Data Science Lab (DaSL). For more information, or to report an issue, please go to the GitHub repo.

eIPMPre

eIPMPre consists of disease type (ALL vs. other), pre-lymphodepletion (LD) absolute neutrophil count, pre-LD platelet count, pre-LD LDH, and pre-LD ferritin.

eIPMPost

eIPMPost consists of disease type (ALL vs. other), pre-LD ANC, pre-LD platelet count, pre-LD LDH, and day +3 ferritin.

Input values are limited to those within the 5th-95th percentiles of the training dataset.

Input values are limited to those within the 5th-95th percentiles of the training dataset.