LACE+ index as a predictor of 90-day plastic surgery outcomes.


Journal

The American journal of managed care
ISSN: 1936-2692
Titre abrégé: Am J Manag Care
Pays: United States
ID NLM: 9613960

Informations de publication

Date de publication:
01 04 2020
Historique:
entrez: 10 4 2020
pubmed: 10 4 2020
medline: 20 2 2021
Statut: epublish

Résumé

This study used coarsened exact matching to assess the ability of the LACE+ index to predict adverse outcomes after plastic surgery. Two-year retrospective study (2016-2018). LACE+ scores were retrospectively calculated for all patients undergoing plastic surgery at a multicenter health system (N = 5744). Coarsened exact matching was performed to sort patient data before analysis. Outcomes including unplanned hospital readmission, emergency department visits, and reoperation were compared for patients in different LACE+ score quartiles (Q1, Q2, Q3, Q4). A total of 2970 patient procedures were matched during coarsened exact matching. Increased LACE+ score significantly predicted readmission within 90 days of discharge for Q4 versus Q1 (6.28% vs 1.91%; P = .003), Q4 versus Q2 (12.30% vs 5.56%; P <.001), and Q4 versus Q3 (13.84% vs 7.33%; P <.001). Increased LACE+ score also significantly predicted emergency department visits within 90 days for Q4 versus Q1 (9.29% vs 3.01%; P <.001), Q4 versus Q2 (11.31% vs 3.57%; P <.001), and Q4 versus Q3 (13.70% vs 8.48%; P = .003). Higher LACE+ score also significantly predicted secondary reoperation within 90 days for Q4 versus Q1 (3.83% vs 1.37%; P = .035), Q4 versus Q2 (5.95% vs 3.37%; P = .042), and Q4 versus Q3 (7.50% vs 3.26%; P <.001). The results of this study demonstrate that the LACE+ index may be suitable as a prediction model for patient outcomes in a plastic surgery population.

Identifiants

pubmed: 32270988
doi: 10.37765/ajmc.2020.42838
pii: 88345
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Pagination

e113-e120

Auteurs

Neil R Malhotra (NR)

Department of Neurosurgery, Hospital of the University of Pennsylvania, Silverstein Pavilion, 3400 Spruce St, 3rd Floor, Philadelphia, PA 19104. Email: NRM@uphs.upenn.edu.

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Classifications MeSH