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Predictors of extended length of stay after unicompartmental knee arthroplasty.


ABSTRACT: Purpose:To identify factors that independently predict extended length of stay after unicompartmental knee arthroplasty (UKA) surgery (defined as length of stay longer than 3 days), and to identify factors predicting early post-operative complications. Methods:A retrospective analysis of all patients undergoing UKA from January 2016-January 2019?at our institution was performed. Clinical notes were reviewed to determine the following information: Patient age (years), gender, American Society of Anesthesiologists (ASA) grade, weight (kg), height (meters), body mass index (BMI), co-morbidities, indication for surgery, surgeon, surgical volume, surgical technique (navigated or patient-specific instrumentation), implant manufacturer, estimated blood loss (ml), application of tourniquet during the surgery, application of drain, hospital length of stay (days) and surgical complications. Results:Multivariate regression analysis showed that ASA 3-4 vs. ASA 1-2 [OR 4.4 (CI; 1.8-10.8, p?=?0.001)] and a history of cardiovascular disease [OR 2.8 (CI; 1.4-5.5), p?=?0.004)] were significant independent predictors of prolonged length of stay. Hosmer-Lemeshow goodness of fit of the model showed a p-value of 0.214. Nagelkerke R-Square was 0.2. For complications, multivariate regression analysis showed that ASA 3-4 vs. ASA 1-2 [OR 5.8 (CI; 1.7-20.7)] and high BMI (BMI >30) [OR 4.3 (CI; 1.1-17.1)] were significant independent predictors of complications. Hosmer-Lemeshow goodness of fit was 0.89 and Nagelkerke R-Square was 0.2. Patients treated with robotics (Navio) techniques had shorter length of stay median 51?h (IQR; 29-96) when compared to other techniques 72?h (IQR; 52-96), p?=?0.008. Conclusion:Based on the results of our study, high ASA grade (?3) appears to be the most important factor excluding eligibility for fast-track UKA. Any number of co-morbidities may increase ASA, but in and of themselves, apart from a history of cardiovascular disease, they should not be seen as contraindications. Appropriate patient selection, technical tools and details during the surgery could facilitate fast track surgery.

SUBMITTER: Sephton BM 

PROVIDER: S-EPMC7067998 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

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Predictors of extended length of stay after unicompartmental knee arthroplasty.

Sephton B M BM   Bakhshayesh P P   Edwards T C TC   Ali A A   Kumar Singh V V   Nathwani D D  

Journal of clinical orthopaedics and trauma 20190911 Suppl 2


<h4>Purpose</h4>To identify factors that independently predict extended length of stay after unicompartmental knee arthroplasty (UKA) surgery (defined as length of stay longer than 3 days), and to identify factors predicting early post-operative complications.<h4>Methods</h4>A retrospective analysis of all patients undergoing UKA from January 2016-January 2019 at our institution was performed. Clinical notes were reviewed to determine the following information: Patient age (years), gender, Ameri  ...[more]

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