Literature DB >> 35419705

Decreased patient comorbidities and post-operative complications in technology-assisted compared to conventional total knee arthroplasty.

Ryan J O'Rourke1, Anthony J Milto1,2, Brian P Kurcz1, Steven L Scaife2, D Gordon Allan1,3, Youssef El Bitar4.   

Abstract

PURPOSE: The use of computer-assisted and robotic surgery was developed to improve component position and outcomes of total knee arthroplasty (TKA). The goal of this study is to identify differences in patient demographics, comorbidities, and complications between technology-assisted and conventional TKA.
METHODS: A Nationwide Inpatient Sample database was used to identify patients who underwent technology-assisted and conventional TKA from 2016 to 2018. Analysed variables include demographics, length of stay (LOS), payer-status, geographic region, comorbidities, complications, and mortality. Univariate and multivariate analyses were performed to identify differences between both groups.
RESULTS: The analysis includes 2,208,434 TKA patients, of which 2,054,879 (93.05%) were conventional and 153,555 (6.95%) were technology assisted. Patients undergoing technology-assisted TKA were more likely to be older than 65 years, had higher median income quartile, and had surgery in urban teaching hospitals. Patients were less likely to undergo technology-assisted TKA if they were female gender, had Medicare payer status, were black race, were obese, were living in rural location, or had higher Charlson comorbidity score and baseline comorbidities. Technology-assisted TKA patients had shorter LOS, and fewer pulmonary and infection complications.
CONCLUSION: Patients undergoing technology-assisted TKA are being carefully selected with less baseline comorbidities, improved health, and living in urban areas. Subsequently, those carefully selected patients are discharged home, have a shorted hospital LOS, and have fewer complications compared to conventional TKA. Rural patients, black race and female gender are less likely to undergo technology-assisted TKA, further emphasizing the healthcare disparity for that segment of the population. LEVEL OF EVIDENCE: Therapeutic level III.
© 2022. The Author(s) under exclusive licence to European Society of Sports Traumatology, Knee Surgery, Arthroscopy (ESSKA).

Entities:  

Keywords:  Comorbidities; Complications; Computer assisted; Database; Mortality; Robotic; Total knee arthroplasty

Year:  2022        PMID: 35419705     DOI: 10.1007/s00167-022-06966-9

Source DB:  PubMed          Journal:  Knee Surg Sports Traumatol Arthrosc        ISSN: 0942-2056            Impact factor:   4.342


  47 in total

1.  Twenty-year survival analysis in total knee arthroplasty by a single surgeon.

Authors:  Dae Kyung Bae; Sang Jun Song; Man Jun Park; Jae Hyung Eoh; Jong Hoon Song; Cheol Hee Park
Journal:  J Arthroplasty       Date:  2011-12-16       Impact factor: 4.757

2.  Variations in data collection methods between national databases affect study results: a comparison of the nationwide inpatient sample and national surgical quality improvement program databases for lumbar spine fusion procedures.

Authors:  Daniel D Bohl; Glenn S Russo; Bryce A Basques; Nicholas S Golinvaux; Michael C Fu; William D Long; Jonathan N Grauer
Journal:  J Bone Joint Surg Am       Date:  2014-12-03       Impact factor: 5.284

3.  Nationwide Inpatient Sample and National Surgical Quality Improvement Program give different results in hip fracture studies.

Authors:  Daniel D Bohl; Bryce A Basques; Nicholas S Golinvaux; Michael R Baumgaertner; Jonathan N Grauer
Journal:  Clin Orthop Relat Res       Date:  2014-03-11       Impact factor: 4.176

4.  Technology-Assisted Hip and Knee Arthroplasties: An Analysis of Utilization Trends.

Authors:  Matthew Boylan; Kelly Suchman; Jonathan Vigdorchik; James Slover; Joseph Bosco
Journal:  J Arthroplasty       Date:  2017-11-29       Impact factor: 4.757

5.  Rural vs. urban utilization of total joint arthroplasty.

Authors:  Devraj Banerjee; Kenneth David Illingworth; Wendy M Novicoff; Steven L Scaife; Braden K Jones; Khaled J Saleh
Journal:  J Arthroplasty       Date:  2013-03-27       Impact factor: 4.757

Review 6.  Robotics in Total Knee Arthroplasty.

Authors:  Maria Bautista; Jorge Manrique; William J Hozack
Journal:  J Knee Surg       Date:  2019-03-01       Impact factor: 2.757

7.  Postoperative morbidity and mortality following total knee arthroplasty with computer navigation.

Authors:  James A Browne; Chad Cook; Aaron A Hofmann; Michael P Bolognesi
Journal:  Knee       Date:  2009-09-15       Impact factor: 2.199

8.  10-Year Survival of Navigated Versus Conventional TKAs: A Retrospective Study.

Authors:  Jana Aleska Baumbach; Roland Willburger; Rolf Haaker; Marcus Dittrich; Steffen Kohler
Journal:  Orthopedics       Date:  2016-05       Impact factor: 1.390

9.  Trends in computer navigation and robotic assistance for total knee arthroplasty in the United States: an analysis of patient and hospital factors.

Authors:  Joseph K Antonios; Shane Korber; Lakshmanan Sivasundaram; Cory Mayfield; Hyunwoo Paco Kang; Daniel A Oakes; Nathanael D Heckmann
Journal:  Arthroplast Today       Date:  2019-03-12

10.  Are There Differences in Accuracy or Outcomes Scores Among Navigated, Robotic, Patient-specific Instruments or Standard Cutting Guides in TKA? A Network Meta-analysis.

Authors:  Pierre-Alban Bouché; Simon Corsia; Agnès Dechartres; Matthieu Resche-Rigon; Rémy Nizard
Journal:  Clin Orthop Relat Res       Date:  2020-09       Impact factor: 4.755

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