Document Type
Article
Publication Date
10-21-2022
Abstract
Hypomethylating agents (HMA) prolong survival and improve cytopenias in individuals with higher-risk myelodysplastic syndrome (MDS). Only 30-40% of patients, however, respond to HMAs, and responses may not occur for more than 6 months after HMA initiation. We developed a model to more rapidly assess HMA response by analyzing early changes in patients’ blood counts. Three institutions’ data were used to develop a model that assessed patients’ response to therapy 90 days after the initiation using serial blood counts. The model was developed with a training cohort of 424 patients from2 institutions and validated on an independent cohort of 90 patients. The final model achieved an area under the receiver operating characteristic curve (AUROC) of 0.79 in the train/test group and 0.84 in the validation group. The model provides cohort-wide and individual- level explanations for model predictions, and model certainty can be interrogated to gauge the reliability of a given prediction.
Recommended Citation
Radakovich, Nathan; Sallman, David A.; Buckstein, Rena; Brunner, Andrew; Dezern, Amy; Mukerjee, Sudipto; Komrokji, Rami; Al-Ali, Najla; Shreve, Jacob; Rouphail, Yazan; Parmentier, Anne; Mamedov, Alexandre; Siddiqui, Mohammed; Guan, Yihong; Kuzmanovic, Teodora; Hasipek, Metis; Jha, Babal; Maciejewski, Jaroslaw P.; Sekeres, MIkkael A.; and Nazha, Aziz, "A Machine Learning Model of Response to Hypomethylating Agents in Myelodysplastic Syndromes" (2022). Department of Medical Oncology Faculty Papers. Paper 207.
https://jdc.jefferson.edu/medoncfp/207
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Language
English
Comments
This article is the author's final published version in iScience, Volume 25, Issue 10, Oct. 2022, Article number 104931.
The published version is available at https://doi.org/10.1016/j.isci.2022.104931. Copyright © 2022 Elsevier B.V. or its licensors or contributors. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).