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Orthopaedic Proceedings
Vol. 102-B, Issue SUPP_9 | Pages 61 - 61
1 Oct 2020
Krueger CA Kozaily E Gouda Z Courtney PM Austin MS
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Introduction

Unexpected cancellation of scheduled total joint arthroplasty (TJA) procedures create patient distress and are disruptive to the clinical team. The purpose of this study was to identify the etiology of cancellation for scheduled TJA and to determine the subsequent fate of those patients.

Methods

A consecutive series of 11670 primary THA and TKA patients at a single institution was reviewed from January 2013 through March 2017. All patients who were scheduled for a primary THA or TKA and subsequently cancelled were identified. The etiology of cancellation and time to rescheduling were recorded. Univariate analysis and cox regression models were performed.


Orthopaedic Proceedings
Vol. 100-B, Issue SUPP_12 | Pages 7 - 7
1 Oct 2018
Bell K Foltz C Makhdom A Star AM Arnold WV Hozack WJ Craft DV Austin MS
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Introduction

Opioid abuse is a national epidemic. Traditional pain management after total knee arthroplasty (TKA) relied heavily on opioids. The evidence that in-hospital multimodal pain management (MMPM) is more effective than opioid-only analgesia is overwhelming. There has been little focus on post-discharge pain management. The purpose of this study was to determine whether MMPM after TKA could reduce opioid consumption in the 30-day period after hospital discharge.

Methods

This was a prospective, two-arm, comparative study with a provider cross-over design. The first arm utilized a standard opioid-only (OO) prn regimen. The second arm utilized a 30-day MMPM regimen (standing doses of acetaminophen, metaxalone, meloxicam, gabapentin) and opioid medications prn. Surgeons crossed over protocols every four weeks. The primary outcome measure was VAS pain score. Secondary outcome measures included morphine milligram equivalents (MME) consumed, failure of the protocol, and manipulation under anesthesia (MUA). A pre-hoc power analysis was performed for the primary outcome measure and an intent-to-treat analysis was done utilizing a longitudinal mixed model.