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Prediction of Adverse Outcomes Within 90 Days of Surgery in a Heterogeneous Orthopedic Surgery Population

Authors :
Stephen Goodrich
Eric Hume
Ryan Dimentberg
Scott D. McClintock
Ian F. Caplan
Gregory Glauser
Neil R. Malhotra
Eric Winter
Source :
Journal for Healthcare Quality. 43:e53-e63
Publication Year :
2020
Publisher :
Ovid Technologies (Wolters Kluwer Health), 2020.

Abstract

Introduction The LACE+ index has been shown to predict readmissions; however, LACE+ has not been validated for extended postoperative outcomes in an orthopedic surgery population. The purpose of this study is to examine whether LACE+ scores predict unplanned readmissions and adverse outcomes following orthopedic surgery. Use of the LACE1 index to proactively identify at-risk patients may enable actions to reduce preventable readmissions. Methods LACE+ scores were retrospectively calculated at the time of discharge for all consecutive orthopedic surgery patients (n = 18,893) at a multicenter health system over 3 years (2016-2018). Coarsened exact matching was used to match patients based on characteristics not assessed in the LACE+ index. Outcome differences between matched patients in different LACE quartiles (i.e. Q4 vs. Q3, Q2, and Q1) were analyzed. Results Higher LACE+ scores significantly predicted readmission and emergency department visits within 90 days of discharge and for 30-90 days after discharge for all studied quartiles. Higher LACE+ scores also significantly predicted reoperations, but only between Q4 and Q3 quartiles. Conclusions The results suggest that the LACE+ risk-prediction tool may accurately predict patients with a high likelihood of adverse outcomes after a broad array of orthopedic procedures.

Details

ISSN :
19451474 and 10622551
Volume :
43
Database :
OpenAIRE
Journal :
Journal for Healthcare Quality
Accession number :
edsair.doi.dedup.....02804ac4c5a37f283aaa2ad4e7b87ffb
Full Text :
https://doi.org/10.1097/jhq.0000000000000280