Predictors of postoperative hospital length of stay after total knee arthroplasty
Introduction: We aimed to collect and analyse clinical and functional variables of patients undergoing rehabilitation after total knee arthroplasty (TKA), to identify the variables that influence the postoperative hospital length of stay (LOS). Methods: We conducted a retrospective analysis of prosp...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wolters Kluwer – Medknow Publications
2024-02-01
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| Series: | Singapore Medical Journal |
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| Online Access: | https://journals.lww.com/10.11622/smedj.2021142 |
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| author | Davide Tornese Alessandro Robustelli Gabriele Ricci Paola Maria Vittoria Rancoita Nicola Maffulli Giuseppe Michele Peretti |
| author_facet | Davide Tornese Alessandro Robustelli Gabriele Ricci Paola Maria Vittoria Rancoita Nicola Maffulli Giuseppe Michele Peretti |
| author_sort | Davide Tornese |
| collection | DOAJ |
| description | Introduction:
We aimed to collect and analyse clinical and functional variables of patients undergoing rehabilitation after total knee arthroplasty (TKA), to identify the variables that influence the postoperative hospital length of stay (LOS).
Methods:
We conducted a retrospective analysis of prospectively collected data of 1,082 consecutive patients (746 females and 336 males) who underwent primary TKA and rehabilitation in our orthopaedic institute between January 2013 and July 2017. Clinical and anthropometric data were analysed using a multivariate linear regression model.
Results:
The average LOS was 5.08 ± 2.52 days in the Department of Orthopaedic Surgery and 12.67 ± 5.54 days in the Sports Rehabilitation Unit. Factors such as age, female sex and the presence of comorbidities were predictive of a longer stay. The presence of caregiver assistance at home was associated with shorter LOS. There was no evidence of a statistically significant positive association between body mass index and LOS.
Conclusion:
An in-depth and early knowledge of factors that influence LOS may enable the multidisciplinary team to plan a patient-tailored rehabilitation path and better allocate resources to maximise patients’ functional recovery, while reducing LOS and the overall cost of the procedure. |
| format | Article |
| id | doaj-art-b40a1a902e5148f3b74e07b7a49fc06f |
| institution | Kabale University |
| issn | 0037-5675 2737-5935 |
| language | English |
| publishDate | 2024-02-01 |
| publisher | Wolters Kluwer – Medknow Publications |
| record_format | Article |
| series | Singapore Medical Journal |
| spelling | doaj-art-b40a1a902e5148f3b74e07b7a49fc06f2025-02-09T10:19:31ZengWolters Kluwer – Medknow PublicationsSingapore Medical Journal0037-56752737-59352024-02-01652687310.11622/smedj.2021142Predictors of postoperative hospital length of stay after total knee arthroplastyDavide TorneseAlessandro RobustelliGabriele RicciPaola Maria Vittoria RancoitaNicola MaffulliGiuseppe Michele PerettiIntroduction: We aimed to collect and analyse clinical and functional variables of patients undergoing rehabilitation after total knee arthroplasty (TKA), to identify the variables that influence the postoperative hospital length of stay (LOS). Methods: We conducted a retrospective analysis of prospectively collected data of 1,082 consecutive patients (746 females and 336 males) who underwent primary TKA and rehabilitation in our orthopaedic institute between January 2013 and July 2017. Clinical and anthropometric data were analysed using a multivariate linear regression model. Results: The average LOS was 5.08 ± 2.52 days in the Department of Orthopaedic Surgery and 12.67 ± 5.54 days in the Sports Rehabilitation Unit. Factors such as age, female sex and the presence of comorbidities were predictive of a longer stay. The presence of caregiver assistance at home was associated with shorter LOS. There was no evidence of a statistically significant positive association between body mass index and LOS. Conclusion: An in-depth and early knowledge of factors that influence LOS may enable the multidisciplinary team to plan a patient-tailored rehabilitation path and better allocate resources to maximise patients’ functional recovery, while reducing LOS and the overall cost of the procedure.https://journals.lww.com/10.11622/smedj.2021142fast-track surgerylength of staypredictorsrehabilitationtotal knee arthroplasty |
| spellingShingle | Davide Tornese Alessandro Robustelli Gabriele Ricci Paola Maria Vittoria Rancoita Nicola Maffulli Giuseppe Michele Peretti Predictors of postoperative hospital length of stay after total knee arthroplasty Singapore Medical Journal fast-track surgery length of stay predictors rehabilitation total knee arthroplasty |
| title | Predictors of postoperative hospital length of stay after total knee arthroplasty |
| title_full | Predictors of postoperative hospital length of stay after total knee arthroplasty |
| title_fullStr | Predictors of postoperative hospital length of stay after total knee arthroplasty |
| title_full_unstemmed | Predictors of postoperative hospital length of stay after total knee arthroplasty |
| title_short | Predictors of postoperative hospital length of stay after total knee arthroplasty |
| title_sort | predictors of postoperative hospital length of stay after total knee arthroplasty |
| topic | fast-track surgery length of stay predictors rehabilitation total knee arthroplasty |
| url | https://journals.lww.com/10.11622/smedj.2021142 |
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