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Robotic-Assisted versus Manual Total Knee Arthroplasty in a Crossover Cohort: What Did Patients Prefer?
- Source :
-
Surgical technology international [Surg Technol Int] 2020 Nov 28; Vol. 37, pp. 336-340. - Publication Year :
- 2020
-
Abstract
- Background: Robotic-assisted total knee arthroplasty represents an increasingly utilized surgical technology; however, there remains clinical question whether the technique produces improved clinical and patient-reported outcomes. The purpose of this study was to evaluate early clinical outcomes and patient preference of robotic-assisted total knee arthroplasty (rTKA) versus manual TKA (mTKA) in a direct crossover cohort of patients who underwent consecutive TKAs by each technique.<br />Materials and Methods: A retrospective chart review and telephone interview was performed on 36 patients who underwent both rTKA and mTKA by a single surgeon between 2012-2018. Perioperative outcomes-complications/reoperations and patient-preferred technique-were collected with mean clinical follow up of 4.8 and 2.0 years for mTKA and rTKA, respectively.<br />Results: mTKA were performed significantly (p<0.01) more quickly than rTKA, including shorter tourniquet time (56 versus 73 minutes) and total operating room time (93 versus 116 minutes). rTKA patients length of stay (LOS) was significantly (p<0.01) decreased (1.8 days) compared to mTKA (2.3 days). For rTKA and mTKA, respectively, there was no difference in final range of motion (119 versus 122 degrees), Visual Analog Scale (1.6 versus 0.9), or Knee Osteoarthritis Outcome Score, Jr (85 versus 87). Twenty (56%) reported rTKA as the preferred technique over mTKA.<br />Conclusion: In same patient direct comparison, rTKA required longer operative time but improved LOS compared to mTKA. There was no difference in final outcomes with only slightly more patients preferring rTKA.
Details
- Language :
- English
- ISSN :
- 1090-3941
- Volume :
- 37
- Database :
- MEDLINE
- Journal :
- Surgical technology international
- Publication Type :
- Academic Journal
- Accession number :
- 32894516