@inproceedings{9db1953bb6a54452b575e18a2ea268ea,
title = "Phenotyping Multiple Organ Dysfunction Syndrome Using Temporal Trends in Critically Ill Children",
abstract = "Multiple organ dysfunction syndrome (MODS) is one of the most common causes of death in critically ill children. However, despite decades of clinical trials, there are no comprehensive approaches to the management of MODS or effective targeted therapies that have consistently improved outcomes. Better understanding the heterogeneity of MODS and characterizing subgroups of MODS patients could improve our understanding of the syndrome and help us develop new management strategies. We analyzed a cohort of 5,297 children with MODS from two children's hospitals and used subgraph-augmented non-negative matrix factorization (SANMF) to identify unique temporal patterns in organ dysfunction across four novel subgroups. We demonstrate that these subgroups are composed of patients with distinct clinical characteristics and are independently predictive of clinical outcomes. Our work suggests that these subgroups represent four relevant phenotypes of pediatric MODS that could be used to identify novel management strategies.",
keywords = "organ dysfunction, pattern clustering, pediatric critical care, precision medicine, unsupervised learning",
author = "Stroup, {Emily Kunce} and Yuan Luo and Sanchez-Pinto, {L. Nelson}",
note = "Funding Information: ACKNOWLEDGMENTS The authors thank Neethi Pinto, MD of the University of Chicago for her support of this project. This research is partly supported by NIH/NICHD (R21HD096402, Sanchez-Pinto) and NIH/NLM (R21LM012618, Luo). Funding Information: The authors thank Neethi Pinto, MD of the University of Chicago for her support of this project. This research is partly supported by NIH/NICHD (R21HD096402, Sanchez-Pinto) and NIH/NLM (R21LM012618, Luo) Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019 ; Conference date: 18-11-2019 Through 21-11-2019",
year = "2019",
month = nov,
doi = "10.1109/BIBM47256.2019.8983126",
language = "English (US)",
series = "Proceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "968--972",
editor = "Illhoi Yoo and Jinbo Bi and Hu, {Xiaohua Tony}",
booktitle = "Proceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019",
address = "United States",
}