Andrew Hill, Emma Collier-Baker, Thomas Suddendorf
Inferential reasoning by exclusion in children (Homo sapiens)
Journal of comparative psychology (Washington, D.C. : 1983)
pediatric myocarditis rare disease substantial mortality little known regarding prognostic factors hypothesize certain comorbidities procedural needs may increase risks poor outcomes study aims identify prognostic factors pediatric myocarditis national kids inpatient database used study random forests algorithm implemented mortality prediction based comorbidities procedures linear regression analysis performed quantify associations mortality length stay prevalence pediatric myocarditis among pediatric hospitalizations doubled 2003 2016 mortality rate peaked 2006 67 declined steadily thereafter rate 32 2016 brain injury including encephalopathy cerebral edema intracranial hemorrhage acute kidney injury dysrhythmias coagulopathy sepsis ecmo use independent prognostic factors associated increased mortality prolonged hospital stay prognostic factor identification may straightforward rare diseases pediatric myocarditis due small cohort size treating facility findings report provide insights prognostic factors pediatric myocarditis may allow clinicians better prepared informing patients families regarding disease outcomes rate hospitalization due pediatric myocarditis increasing mortality rate declining past decade end organ damage including brain kidney associated mortality prolonged hospital stay pediatric myocarditis tachyarrhythmias cardiac function compromise requiring ecmo also associated mortality prolonged hospital stay data science approach combining machine learning algorithms conventional regression modeling using large dataset may facilitate risk factor identification outcome correlation rare diseases illustrated study