van Keulen, LZ, Sonnega, RJA, Baas, NRA, Hogervorst, T, Muehlendyck, C, Bourras, P, Ten Kate, TAJ, Galvain, T, Dieleman, S and van Kampen, PM (2024) Evaluating two implant designs in patients undergoing primary total knee arthroplasty using a novel measure of early optimal recovery: a retrospective observational study. Musculoskeletal surgery. ISSN 2035-5106

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Abstract

Purpose Quality of care in total knee arthroplasty (TKA) between implants was assessed using a novel composite outcome measure, early optimal recovery (EOR), to indicate ideal clinical outcomes and minimal healthcare resource utilization. Methods Patients that underwent primary TKA in the study group (ATTUNE® Knee System) or control group (LCS® COMPLETE Knee System) were included in this retrospective, single-center study. EOR was defined as no complications, no readmissions, no extra outpatient visits, ≤ 48 h length of hospital stay (LOS), and restored range of motion and pain perception at 3-month follow-up. Multivariate logistic regression was used to compare EOR between the study and control groups. Results were adjusted for differences in baseline characteristics and are presented with 95% confidence intervals (CI). Data were collected from a specialized clinic for elective surgeries in the Netherlands, between January 2017 and December 2020. Results A total of 566 patients (62.4% female, mean age 67 years) were included for analysis; 185 patients (32.7%) underwent TKA in the study group. Compared to the control group, patients in the study group had greater probability of achieving EOR (65.8% [95% CI: 55.1–75.2] vs. 38.9% [95% CI: 32.8–45.3]; p < 0.001), a LOS ≤ 48 h (77.2% [95% CI: 67.7–84.5] vs. 61.4% [95% CI: 54.7–67.7]; p < 0.05), and ideal pain perception at 3-month follow-up (93.3% [95% CI: 85.7–97.0] vs. 78.2% [95% CI: 71.0–83.9]; p < 0.05). Conclusion The study group was associated with a greater probability of achieving EOR versus the control group, suggesting improved quality of care.

Item Type:	Article
Uncontrolled Keywords:	Outcomes research; Prosthesis implantation design; Total knee arthroplasty; Value of healthcare
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science R Medicine > RD Surgery
Divisions:	Computer Science & Mathematics
Publisher:	Springer
SWORD Depositor:	A Symplectic
Date Deposited:	12 Aug 2024 13:10
Last Modified:	12 Aug 2024 13:10
DOI or ID number:	10.1007/s12306-024-00851-z
URI:	https://researchonline.ljmu.ac.uk/id/eprint/23924

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