Keywords

discharge predictive tool, reduce readmissions, orthopedic surgery, LACE+ index, coarsened exact matching

 

Authors

  1. Dimentberg, Ryan
  2. Caplan, Ian F.
  3. Winter, Eric
  4. Glauser, Gregory
  5. Goodrich, Stephen
  6. McClintock, Scott D.
  7. Hume, Eric L.
  8. Malhotra, Neil R.

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.