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The Bone & Joint Journal
Vol. 106-B, Issue 4 | Pages 323 - 323
1 Apr 2024
Fontalis A Kayani B Plastow R Giebaly DE Tahmassebi J Haddad IC Chambers A Mancino F Konan S Haddad FS


The Bone & Joint Journal
Vol. 106-B, Issue 4 | Pages 324 - 335
1 Apr 2024
Fontalis A Kayani B Plastow R Giebaly DE Tahmassebi J Haddad IC Chambers A Mancino F Konan S Haddad FS

Aims

Achieving accurate implant positioning and restoring native hip biomechanics are key surgeon-controlled technical objectives in total hip arthroplasty (THA). The primary objective of this study was to compare the reproducibility of the planned preoperative centre of hip rotation (COR) in patients undergoing robotic arm-assisted THA versus conventional THA.

Methods

This prospective randomized controlled trial (RCT) included 60 patients with symptomatic hip osteoarthritis undergoing conventional THA (CO THA) versus robotic arm-assisted THA (RO THA). Patients in both arms underwent pre- and postoperative CT scans, and a patient-specific plan was created using the robotic software. The COR, combined offset, acetabular orientation, and leg length discrepancy were measured on the pre- and postoperative CT scanogram at six weeks following surgery.


Bone & Joint Open
Vol. 4, Issue 10 | Pages 791 - 800
19 Oct 2023
Fontalis A Raj RD Haddad IC Donovan C Plastow R Oussedik S Gabr A Haddad FS

Aims

In-hospital length of stay (LOS) and discharge dispositions following arthroplasty could act as surrogate measures for improvement in patient pathways, and have major cost saving implications for healthcare providers. With the ever-growing adoption of robotic technology in arthroplasty, it is imperative to evaluate its impact on LOS. The objectives of this study were to compare LOS and discharge dispositions following robotic arm-assisted total knee arthroplasty (RO TKA) and unicompartmental arthroplasty (RO UKA) versus conventional technique (CO TKA and UKA).

Methods

This large-scale, single-institution study included patients of any age undergoing primary TKA (n = 1,375) or UKA (n = 337) for any cause between May 2019 and January 2023. Data extracted included patient demographics, LOS, need for post anaesthesia care unit (PACU) admission, anaesthesia type, readmission within 30 days, and discharge dispositions. Univariate and multivariate logistic regression models were also employed to identify factors and patient characteristics related to delayed discharge.