Preprint Article Version 1 This version is not peer-reviewed

Trends and Patterns of Robotic Total Knee Arthroplasty: 2016-2019

Version 1 : Received: 15 July 2024 / Approved: 15 July 2024 / Online: 16 July 2024 (00:24:33 CEST)

How to cite: Maman, D.; Fournier, L.; Steinfeld, Y.; Berkovich, Y. Trends and Patterns of Robotic Total Knee Arthroplasty: 2016-2019. Preprints 2024, 2024071190. https://doi.org/10.20944/preprints202407.1190.v1 Maman, D.; Fournier, L.; Steinfeld, Y.; Berkovich, Y. Trends and Patterns of Robotic Total Knee Arthroplasty: 2016-2019. Preprints 2024, 2024071190. https://doi.org/10.20944/preprints202407.1190.v1

Abstract

This study investigates the trends and patterns of robotic-assisted total knee arthroplasty (RA-TKA) from 2016 to 2019. Using data from the Nationwide Inpatient Sample (NIS), we analyzed demographics, prevalence of comorbidities, total cost, and length of stay (LOS) for 88,415 RA-TKA cases identified during this period. Our analysis revealed a significant increase in RA-TKA procedures, from 5,330 in 2016 to 39,495 in 2019. Patients undergoing RA-TKA were slightly younger, with an average age of 66.2 years. The average hospital stay was 1.89 days, and total charges averaged $65,891. We also examined various comorbidities and demographic factors, including race, median household income, and hospital teaching status. The results show that RA-TKA usage in the US has grown substantially, with specific demographic and clinical patterns. Further studies on the long-term outcomes of RA-TKA are needed to fully understand the benefits of this technology.

Keywords

Robotic surgery; total knee arthroplasty; robotic knee surgery; big data

Subject

Public Health and Healthcare, Public Health and Health Services

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