Bull Hosp Jt Dis (2013). 2023 Dec;81(4):273-278.
ABSTRACT
PURPOSE: The use of intraoperative technology is increasing among orthopedic surgeons in the United States. However, there is continued debate as to whether intraoperative technologies provide clinical benefits in patients undergoing total knee arthroplasty (TKA). This study sought to determine whether the use of a novel intraoperative navigation technology produces equivalent or superior short-term outcomes compared to conventional technique.
METHODS: Fifty-nine consecutive patients underwent primary TKA with a novel imageless intraoperative navigational technology between October 2019 and January 2020 at a single, urban, orthopedic specialty hospital. A 1:1 cohort propensity matching was performed with patients with similar demographics who underwent primary TKA without the use of technology. Demographics, clinical data, as well as preoperative and 3-month Knee Injury and Osteoarthritis Outcome Score, Joint Replacement (KOOS, JR) scores were collected. Demographic differences, clinical data, and mean KOOS, JR scores were assessed using chi-squared analysis for categorical variables and independent sample t-test for continuous variables.
RESULTS: Upon 1:1 cohort matching, patients in both the navigational cohorts and non-navigational cohorts were statistically similar demographically. Length of stay (2.11 vs. 1.71 days; p = 0.108), surgical time (108.89 vs. 101.19 minutes, p = 0.066), discharge disposition (p = 0.675), 90- day readmissions (4 vs. 4, p = 0.999), and 90-day reoperations (2 vs. 2, p = 0.999) did not statistically differ between the two matched cohorts. Additionally, KOOS, JR scores evaluated between the two cohorts preoperatively (46.06 vs. 45.17, p = 0.836) and at 3-month follow-up (57.63 vs. 55.06, p = 0.580) were similar.
CONCLUSION: This study demonstrates that the use of this novel intraoperative navigational technology yields similar short-term TKA results when compared to conventionally performed TKA. Further studies are required to validate new technologies and determine their effect on long-term clinical and patient-reported outcomes.
PMID:37979145
