Predicting 30-day readmissions in an Asian population: Building a predictive model by incorporating markers of hospitalization severity

• Main Authors: Low L.L., Liu N., Wang S., Thumboo J., Ong M.E.H., Lee K.H.
• Other Authors: DUKE-NUS MEDICAL SCHOOL
• Format: Article
• Published: Public Library of Science 2020
• Subjects: furosemide; adult; aged; area under the curve; Article; Asian; Charlson Comorbidity Index; clinical outcome; cohort analysis; comorbidity; controlled study; demography; diagnostic test accuracy study; disease severity; emergency ward; female; health care utilization; hemodialysis; hospital admission; hospital discharge; hospital patient; hospital readmission; hospitalization; human; intermethod comparison; LACE index; length of stay; major clinical study; male; patient acuity; prediction; predictive value; receiver operating characteristic; retrospective study; risk assessment; sensitivity and specificity; Singapore; social determinants of health; tertiary care center; validation study; hospital emergency service; middle aged; risk factor; statistical model; theoretical model; very elderly; Adult; Aged; Aged, 80 and over; Comorbidity; Emergency Service, Hospital; Hospitalization; Humans; Length of Stay; Logistic Models; Middle Aged; Models, Theoretical; Patient Discharge; Patient Readmission; Retrospective Studies; Risk Factors; ROC Curve
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/166031
• Institution: National University of Singapore

10.1371/journal.pone.0167413