Comparison of Patient Demographics and Utilization Trends of Robotic-Assisted and Non-Robotic-Assisted Unicompartmental Knee Arthroplasty

被引:26
|
作者
Vakharia, Rushabh M. [1 ]
Sodhi, Nipun [2 ]
Cohen-Levy, Wayne B. [3 ]
Vakharia, Ajit M. [4 ]
Mont, Michael A. [5 ]
Roche, Martin W. [6 ]
机构
[1] Holy Cross Hosp, Orthoped Res Inst, 5597 North Dixie Highway, Ft Lauderdale, FL 33308 USA
[2] Cleveland Clin, Dept Orthopaed Surg, Cleveland, OH 44106 USA
[3] Univ Miami Hosp, Dept Orthoped Surg, Miami, FL USA
[4] Case Western Reserve Univ Hosp, Dept Orthopaed Surg, Cleveland, OH 44106 USA
[5] Northwell Hosp Lenox Hill, Dept Orthoped Surg, New York, NY USA
[6] Holy Cross Orthoped Inst, Dept Orthoped Surg, Ft Lauderdale, FL USA
关键词
unicompartmental knee arthroplasty; robotic-assisted; Medicare; trends; revision; HOSPITAL DISCHARGE; ACCURACY; COMPLICATIONS; ALIGNMENT; REVISION;
D O I
10.1055/s-0039-1698769
中图分类号
R826.8 [整形外科学]; R782.2 [口腔颌面部整形外科学]; R726.2 [小儿整形外科学]; R62 [整形外科学(修复外科学)];
学科分类号
摘要
Robotic-assisted unicompartmental knee arthroplasty (RAUKA) is an emerging area of interest. The purpose of this study was to compare (1) different patient demographic profiles; (2) annual primary and revision utilization rates; (3) risk factors for revision procedures; and (4) survivorship between RAUKA and manual UKA (MUKA). Using the PearlDiver database, patients who underwent RAUKA or MUKA between 2005 and 2014 within the Medicare database were identified, yielding a total of 35,061 patients (RAUKA=13,617; manual=21,444). Patient demographics (age, gender, comorbidities, Charlson-Comorbidity Index, and geographic region) were compared between cohorts. Annual primary and revision utilization rates as well as risk factors for revision procedures were also compared. Kaplan-Meier survivorship was also calculated. The Pearson chi (2) test was used to test for significance in patient demographics, whereas the Welch t -test was used to compare the incidence of revisions as well as the revision burden (proportion of revisions to total sum of primary and revision procedures). Multivariate binomial logistic regression analysis was performed to compare risk factors for revision procedures. There were statistically significant differences in RAUKA versus MUKA patients with respect to age ( p< 0.001), gender ( p< 0.001), and region ( p< 0.001). RAUKA procedures performed increased over 12-fold compared with manual, which increased only 4.5-fold. RAUKA procedures had significantly lower revision incidence (0.99 vs. 4.24%, p =0.003) and revision burden (0.91 vs. 4.23%, p =0.005) compared with manuals. For patients undergoing RAUKA, normal (19-24kg/m (2) ) and obese (30-39kg/m (2) ) body mass index ( p <0.05), congestive heart failure ( p =0.004), hypothyroidism ( p< 0.001), opioid dependency ( p =0.002), and rheumatoid arthritis ( p< 0.001) were risk factors for a revision procedure. Kaplan-Meier survival curve 3 years following the index procedure to all-cause revisions demonstrated that RAUKA patients maintained nearly 100% survivorship compared with manual patients who had 97.5% survivorship. The data demonstrate increased utilization of RAUKA in the United States. The current data indicated that RAUKA has significantly lower revision rates and improved survivorship compared with patients undergoing non-RAUKA within Medicare patients.
引用
收藏
页码:621 / 627
页数:7
相关论文
共 50 条
  • [41] Robotic-Assisted Knee Arthroplasty (RAKA): The Technique, the Technology and the Transition
    Bagaria, Vaibhav
    Sadigale, Omkar S.
    Pawar, Prashant P.
    Bashyal, Ravi K.
    Achalare, Ajinkya
    Poduval, Murali
    INDIAN JOURNAL OF ORTHOPAEDICS, 2020, 54 (06) : 745 - 756
  • [42] The Accuracy and Clinical Success of Robotic-Assisted Total Knee Arthroplasty
    Nickel, Brian T.
    Carroll, Kaitlin M.
    Pearle, Andrew D.
    Kleeblad, Laura J.
    Burger, Joost
    Mayman, David J.
    Westrich, Geoffrey
    Jerabek, Seth A.
    HSS JOURNAL, 2021, 17 (03) : 261 - 266
  • [43] Robotic-Assisted Total Knee Arthroplasty in Obese Patients
    Richardson, Mary K.
    Digiovanni, Ryan M.
    McCrae, Brian K.
    Cooperman, Wesley S.
    Ludington, John
    Heckmann, Nathanael D.
    Oakes, Daniel A.
    ARTHROPLASTY TODAY, 2024, 26
  • [44] Not All Robotic-assisted Total Knee Arthroplasty Are the Same
    Siddiqi, Ahmed
    Mont, Michael A.
    Krebs, Viktor E.
    Piuzzi, Nicolas S.
    JOURNAL OF THE AMERICAN ACADEMY OF ORTHOPAEDIC SURGEONS, 2021, 29 (02) : 45 - 59
  • [45] Toward precision and efficiency: a bibliometric study on robotic-assisted unicompartmental knee arthroplasty research and development
    Yang, Yao
    Chen, Yuan
    Wang, Yingjie
    Zhou, Yanling
    Zheng, Zhiwen
    Zhu, Wanbo
    Zhu, Junchen
    Zhang, Xianzuo
    ARTIFICIAL INTELLIGENCE SURGERY, 2024, 4 (03): : 199 - 213
  • [46] Postoperative outcomes and trends in computer-navigated and robotic-assisted total hip arthroplasty
    Piple, Amit S.
    Wang, Jennifer C.
    Hill, William
    Chen, Matthew S.
    Gettleman, Brandon S.
    Liu, Kevin C.
    Heckmann, Nathanael D.
    Christ, Alexander B.
    HIP INTERNATIONAL, 2024, 34 (05) : 569 - 577
  • [47] A novel handheld robotic-assisted system for unicompartmental knee arthroplasty: surgical technique and early survivorship
    Andrew K. Battenberg
    Nathan A. Netravali
    Jess H. Lonner
    Journal of Robotic Surgery, 2020, 14 : 55 - 60
  • [48] Robotic-assisted unicompartmental knee arthroplasty in a patient with combined medial compartment arthritis and subchondral defect of the medial femoral condyle
    Suero, Eduardo M.
    Citak, Mustafa
    Kraneburg, Ursula M.
    Pearle, Andrew D.
    Kendoff, Daniel O.
    KNEE, 2012, 19 (05) : 724 - 727
  • [49] Computer-assisted robotic system for autonomous unicompartmental knee arthroplasty
    Shalash, Omar
    Rowe, Philip
    ALEXANDRIA ENGINEERING JOURNAL, 2023, 70 : 441 - 451
  • [50] Reducing edge loading and alignment outliers with image-free robotic-assisted unicompartmental knee arthroplasty: a case controlled study
    Lau, Wai Hong
    Liu, Wai Kiu Thomas
    Chiu, Kwong Yuen
    Cheung, Man Hong
    Cheung, Amy
    Chan, Ping Keung
    Chan, Vincent Wai Kwan
    Fu, Henry
    ARTHROPLASTY, 2024, 6 (01)