Hao Wang|Richard D. Robinson|Carlos Molina Johnson|Nestor R. Zenarosa|Rani Jayswal|Joshua Keithley|Kathleen Delaney
Using the LACE index to predict hospital readmissions in congestive heart failure patients
John Peter Smith Hospital|Health Net|John Peter Smith Hospital|Health Net|John Peter Smith Hospital|Health Net|John Peter Smith Hospital|Health Net|John Peter Smith Hospital|Health Net|John Peter Smith Hospital|Health Net|John Peter Smith Hospital|Health Net
lace index used predict risk unplanned readmission within 30 days hospital discharge medical surgical patients aim study validate accuracy using lace index chf patientsthis retrospective study lace index score calculated patient admitted hospital due acute chf exacerbation operational clinical variables collected patients including basic clinical characteristics length hospitalization comorbidities number previous ed visits past 6 months index admission number post discharge ed revisits 30 60 90 days variables analyzed multivariate logistic regression determine association clinical variables hospital unplanned readmissions cstatistic used discriminate patients high risk readmissionsof 253 patients included study 2450 62253 experienced unplanned readmission hospital within 30 days discharge lace index slightly higher patients readmitted versus patients readmitted 1217 222 versus 1180 192 p 0199 adjusted odds ratios based logistic regression clinical variables showed number previous ed visits 179 95 ci 130247 p 0001 history myocardial infarction 251 95 ci 102621 p 0045 history peripheral vascular disease 1075 95 ci 1527573 p 0017 increased risk unplanned readmission within 30 days hospital discharge however patients high lace scores 10 significantly higher rate ed revisits 1504 vs 0 within 30 days index discharge low lace scores p 0030the lace index may accurately predict unplanned readmissions within 30 days hospital discharge chf patients lace high risk index may utility screening tool predict high risk ed revisits hospital discharge