2 results
14/Jun/2022
14/Jun/2022
DOI: 10.31744/einstein_journal/2022AO8012
ABSTRACT Objective To develop and validate a high-risk predictive model that identifies, at least, one common adverse event in older population: early readmission (up to 30 days after discharge), long hospital stays (10 days or more) or in-hospital deaths. Methods This was a retrospective cohort study including patients aged 60 years or older (n=340) admitted at a 630-beds tertiary hospital, located in the city of São Paulo, Brazil. A predictive model of high-risk indication was developed by analyzing logistical regression […]
Keywords: Aging; Hospital mortality; Hospitalization; lenght of stay; Logistic models; Long-term care; Patient readmission
02/Oct/2020
DOI: 10.31744/einstein_journal/2020AO5476
ABSTRACT Objective To propose a predictive model for the length of stay risk among children admitted to a pediatric intensive care unit based on demographic and clinical characteristics upon admission. Methods This was a retrospective cohort study conducted at a private and general hospital located in the municipality of Sao Paulo, Brazil. We used internal validation procedures and obtained an area under ROC curve for the to build of the predictive model. Results The mean hospital stay was 2 days. […]
Keywords: Beds/supply & distribution; Critical care; Forecasting; Heath management; Intensive care units, pediatric; Lengh of stay; Logistic models