id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ecj-10216	Pini, Stefano; Benvenuti, Antonella; Pacciardi, Bruno; Massimetti, Gabriele; Abelli, Marianna; Sapia, Gabriele; Pardini, Francesco; Massa, Lucia; Miniati, Mario; Salarpi, Gianluca; Forfori, Francesco; Palagini, Laura	Characteristics of psychiatric comorbidities in emergency medicine setting and impact on length of hospitalization: A retrospective study	2022	6	.pdf	application/pdf	5603	254	43	Recognition of medical patients with psychiatric comorbidity and early management could help to prevent negative prognostic events such as delirium, particularly in cognitively impaired patients who are known to be at greater risk, and ultimately take the medical community one step further in giving a relevant part of the population a better quality of care and outcome, while saving on National Health Service funds. We conducted Analyses Of Variance (ANOVA) confronting LoS between psychiatric diagnostic groups after a variance homo- geneity test; a Logistic Regression with Hosmer-Lemeshow Test (which assesses whether or not the observed event rates match expected event rates in subgroups of the model population) to retro-engineer a prediction model that would apply to our group distribution between PD and non-PD patients, which in turn is indicative of which variables characterised our sample and how by calculating the contribution of individual predictors.	cache/ecj-10216.pdf	txt/ecj-10216.txt
