ArticleJournal of clinical orthopaedics and trauma2020
Predictors of extended length of stay after unicompartmental knee arthroplasty.
Article in Journal of clinical orthopaedics and trauma, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.
- Obesity does not adversely impact the outcome of unicompartmental knee arthroplasty for osteoarthritis: a meta-analysis of 80,798 subjects.International journal of obesity (2005) · 2021Pooled it
- Robot-assisted total knee arthroplasty is associated with reduced early anterior knee pain compared with conventional techniques : A propensity score-matched study.Orthopadie (Heidelberg, Germany) · 2026Article
- Postoperative anterior knee pain in robot assisted total knee arthroplasty: a propensity score matching analysis.Surgery in practice and science · 2025Article
- Can machine learning models predict prolonged length of hospital stay following primary total knee arthroplasty based on a national patient cohort data?Archives of orthopaedic and trauma surgery · 2023Article
- Rehabilitation approach in robot assisted total knee arthroplasty: an observational study.BMC musculoskeletal disorders · 2023Observational
- Observational
- Preadmission assessment of extended length of hospital stay with RFECV-ETC and hospital-specific data.European journal of medical research · 2022Article
- Unicompartmental Knee Arthroplasty in Octogenarians: A National Database Analysis Including Over 700 Octogenarians.Arthroplasty today · 2022Article
- Predicting Length of Stay using machine learning for total joint replacements performed at a rural community hospital.PloS one · 2022Article
- Influence of body mass index and age on day-of-surgery discharge, prolonged admission, and 90-day readmission after fast-track unicompartmental knee arthroplasty.Acta orthopaedica · 2021Observational
- Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo 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.
methodsA 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.
resultsMultivariate 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.
conclusionBased 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.
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