Body Mass Index, American Society of Anesthesiologists Score, and Elixhauser Comorbidity Index Predict Cost and Delay of Care During Total Knee Arthroplasty.

Journal Article (Journal Article)

BACKGROUND: Body mass index (BMI), American Society of Anesthesiologists (ASA) score, and Elixhauser Comorbidity Index are measures that are utilized to predict perioperative outcomes, though little is known about their comparative predictive effects. We analyzed the effects of these indices on costs, operating room (OR) time, and length of stay (LOS) with the hypothesis that they would have a differential influence on each outcome variable. METHODS: A retrospective review of the institutional database was completed on primary TKA patients from 2015 to 2018. Univariable and multivariable models were constructed to evaluate the strength of BMI, ASA, and Elixhauser comorbidities for predicting changes to total hospital and surgical costs, OR time, and LOS. RESULTS: In total, 1313 patients were included. ASA score was independently predictive of all outcome variables (OR time, LOS, total hospital and surgical costs). BMI, however, was associated with intraoperative resource utilization through time and cost, but only remained predictive of OR time in an adjusted model. Total Elixhauser comorbidities were independently predictive of LOS and total hospital cost incurred outside of the operative theater, though they were not predictive of intraoperative resource consumption. CONCLUSION: Although ASA, BMI, and Elixhauser comorbidities have the potential to impact outcomes and cost, there are important differences in their predictive nature. Although BMI is independently predictive of intraoperative resource utilization, other measures like Elixhauser and ASA score were more indicative of cost outside of the OR and LOS. These data highlight the differing impact of BMI, ASA, and patient comorbidities in impacting cost and time consumption throughout perioperative care.

Full Text

Duke Authors

Cited Authors

  • Hinton, ZW; Fletcher, AN; Ryan, SP; Wu, CJ; Bolognesi, MP; Seyler, TM

Published Date

  • May 1, 2021

Published In

Volume / Issue

  • 36 / 5

Start / End Page

  • 1621 - 1625

PubMed ID

  • 33419618

Electronic International Standard Serial Number (EISSN)

  • 1532-8406

Digital Object Identifier (DOI)

  • 10.1016/j.arth.2020.12.016

Language

  • eng

Conference Location

  • United States