title: COPD Hospitalization Risk Increased with Distinct Patterns of Multiple Systems Comorbidities Unveiled by Network Modeling.
abstract: Earlier studies on hospitalization risk are largely based on regression models. To our knowledge, network modeling of multiple comorbidities is novel and inherently enables multidimensional scoring and unbiased feature reduction. Network modeling was conducted using an independent validation design starting from 38,695 patients, 1,446,581 visits, and 430 distinct clinical facilities/hospitals. Odds ratios (OR) were calculated for every pair of comorbidity using patient counts and compared their tendency with hospitalization rates and ED visits. Network topology analyses were performed, defining significant comorbidity associations as having OR≥5 & False-Discovery-Rate≤10(-7). Four COPD-associated comorbidity sub-networks emerged, incorporating multiple clinical systems: (i) metabolic syndrome, (ii) substance abuse and mental disorder, (iii) pregnancy-associated conditions, and (iv) fall-related injury. The latter two have not been reported yet. Features prioritized from the network are predictive of hospitalizations in an independent set (p<0.004). Therefore, we suggest that network topology is a scalable and generalizable method predictive of hospitalization.
authors.affiliation: Department of Medicine, University of Illinois at Chicago, Chicago, IL.
authors.forename: Young Ji
authors.initials: YJ
authors.lastname: Lee
authors.affiliation: Institute for Translational Health Informatics, University of Illinois at Chicago, Chicago, IL ; Departments of Biomedical and Health Information Sciences, University of Illinois at Chicago, Chicago, IL ; University of Illinois Hospital and Health Science System, University of Illinois at Chicago, Chicago, IL.
authors.forename: Andrew D
authors.initials: AD
authors.lastname: Boyd
authors.affiliation: Department of Medicine, The University of Arizona, Tucson, AZ, USA.
authors.forename: Jianrong John
authors.initials: JJ
authors.lastname: Li
authors.affiliation: Department of Medicine, The University of Arizona, Tucson, AZ, USA.
authors.forename: Vincent
authors.initials: V
authors.lastname: Gardeux
authors.affiliation: Department of Medicine, The University of Arizona, Tucson, AZ, USA ; Biomedical Informatics Service Group, Arizona Health Science Center, The University of Arizona, Tucson, AZ, USA.
authors.forename: Colleen
authors.initials: C
authors.lastname: Kenost
authors.affiliation: Cancer Center, The University of Arizona, Tucson, AZ, USA ; Biomedical Informatics Service Group, Arizona Health Science Center, The University of Arizona, Tucson, AZ, USA.
authors.forename: Don
authors.initials: D
authors.lastname: Saner
authors.affiliation: Department of Medicine, The University of Arizona, Tucson, AZ, USA.
authors.forename: Haiquan
authors.initials: H
authors.lastname: Li
authors.affiliation: Department of Pharmacy Practice and Science, The University of Arizona, Tucson, AZ, USA.
authors.forename: Ivo
authors.initials: I
authors.lastname: Abraham
authors.affiliation: Department of Medicine, University of Illinois at Chicago, Chicago, IL ; University of Illinois Hospital and Health Science System, University of Illinois at Chicago, Chicago, IL.
authors.forename: Jerry A
authors.initials: JA
authors.lastname: Krishnan
authors.affiliation: Department of Medicine, The University of Arizona, Tucson, AZ, USA ; Cancer Center, The University of Arizona, Tucson, AZ, USA ; Biomedical Informatics Service Group, Arizona Health Science Center, The University of Arizona, Tucson, AZ, USA ; Interdisciplinary Program in Statistics, The University of Arizona, Tucson, AZ, USA.
authors.forename: Yves A
authors.initials: YA
authors.lastname: Lussier
mesh_terms: D000058:Accidental Falls; D015897:Comorbidity; D003920:Diabetes Mellitus / Q000453:epidemiology; D005260:Female; D006760:Hospitalization; D006801:Humans; D011247:Pregnancy; D011248:Pregnancy Complications / Q000453:epidemiology; D029424:Pulmonary Disease, Chronic Obstructive; D012306:Risk; D019966:Substance-Related Disorders / Q000453:epidemiology