title: Reproducing a Prospective Clinical Study as a Computational Retrospective Study in MIMIC-II.
abstract: In this paper we sought to reproduce, as a computational retrospective study in an EHR database (MIMIC-II), a recent large prospective clinical study: the 2013 publication, by the Japanese Association for Acute Medicine (JAAM), about disseminated intravascular coagulation, in the journal Critical Care (PMID: 23787004). We designed in SQL and Java a set of electronic phenotypes that reproduced the study's data sampling, and used R to perform the same statistical inference procedures. All produced source code is available online at https://github.com/fabkury/paamia2015. Our program identified 2,257 eligible patients in MIMIC-II, and the results remarkably agreed with the prospective study. A minority of the needed data elements was not found in MIMIC-II, and statistically significant inferences were possible in the majority of the cases.
authors.affiliation: National Library of Medicine, Bethesda, MD, United States.
authors.forename: Fabrício S P
authors.initials: FS
authors.lastname: Kury
authors.affiliation: National Library of Medicine, Bethesda, MD, United States.
authors.forename: Vojtech
authors.initials: V
authors.lastname: Huser
authors.affiliation: National Library of Medicine, Bethesda, MD, United States.
authors.forename: James J
authors.initials: JJ
authors.lastname: Cimino
mesh_terms: D000328:Adult; D000368:Aged; D000465:Algorithms; D019295:Computational Biology; D004211:Disseminated Intravascular Coagulation; D057286:Electronic Health Records; D005260:Female; D006801:Humans; D016247:Information Storage and Retrieval; D008297:Male; D008875:Middle Aged; D066230:Patient-Specific Modeling; D011446:Prospective Studies; D012189:Retrospective Studies; D012984:Software