Can the American Joint Replacement Registry Utilize Administrative Claims Data to Accurately Classify Revision Total Hip Arthroplasty (THA) Surgical Diagnoses?

被引:2
作者
Wilson, Jacob M. [1 ]
Broida, Samuel E. [1 ]
Kremers, Hilal Maradit [1 ]
Browne, James B. [2 ]
Springer, Bryan D. [3 ]
Berry, Daniel J. [1 ]
Lewallen, David G. [1 ]
Bedard, Nicholas A. [1 ]
机构
[1] Mayo Clin, Dept Orthoped Surg, 200 First St SW, Rochester, MN 55905 USA
[2] Univ Virginia, Dept Orthoped Surg, Charlottesville, VA USA
[3] Atrium Hlth, OrthoCarolina Hip & Knee Ctr, Dept Orthoped, Charlotte, NC USA
关键词
revision; total hip arthroplasty; AJRR; ICD-10; periprosthetic joint infection; DATABASES; CHALLENGES;
D O I
10.1016/j.arth.2023.04.021
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
Background: The American Joint Replacement Registry (AJRR) is a valuable tool for studying revision total hip arthroplasty (rTHA). Currently, International Classification of Diseases-10 (ICD-10) codes are utilized by the AJRR for classifying surgical diagnoses. However, the validity of this methodology is unknown. The purpose of this study was to determine the accuracy of these codes, as used by AJRR, in classifying rTHA diagnoses. Methods: We identified 908 rTHAs performed at our institution from 2015 to 2021 using our total joint registry (TJR). Revision diagnoses were obtained from the TJR, which contains prospectively recorded surgical diagnoses collected by trained abstractors, independent from ICD-10 data. The ICD-10 diagnosis codes, as submitted to AJRR, were retrieved for the same procedures. The accuracy of ICD-10 codes for classifying rTHA diagnoses as septic versus aseptic, instability, aseptic loosening, and periprosthetic fracture was assessed using Cohen's Kappa statistic, sensitivity, and specificity. Results: Concordance between AJRR-submitted data and TJR for classifying rTHA as septic or aseptic was excellent (96.9%; k = 0.87). Agreement for aseptic diagnoses varied from very good for instability (k = 0.76) and loosening (k = 0.67) to moderate for periprosthetic fracture (k = 0.54). Specificity was high (>96%) for all 3 aseptic diagnoses, but sensitivity was lower at 74%, 68%, and 44% for instability, loosening, and periprosthetic fracture, respectively. Conclusion: The AJRR submitted ICD-10 data correctly classifies the infection status of rTHA procedures with outstanding accuracy, but the accuracy for more granular diagnoses was variable. These data demonstrate the potential for diagnosis specific limitations when utilizing ICD-10 administrative claims for registry reporting. (c) 2023 Elsevier Inc. All rights reserved.
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页码:S179 / +
页数:7
相关论文
共 16 条
  • [1] American Joint Replacement Registry (AJRR), 2022, Annual Report
  • [2] Analysis of Outcomes After TKA: Do All Databases Produce Similar Findings?
    Bedard, Nicholas A.
    Pugely, Andrew J.
    McHugh, Michael
    Lux, Nathan
    Otero, Jesse E.
    Bozic, Kevin J.
    Gao, Yubo
    Callaghan, John J.
    [J]. CLINICAL ORTHOPAEDICS AND RELATED RESEARCH, 2018, 476 (01) : 52 - 63
  • [3] Big Data and Total Hip Arthroplasty: How Do Large Databases Compare?
    Bedard, Nicholas A.
    Pugely, Andrew J.
    McHugh, Michael A.
    Lux, Nathan R.
    Bozic, Kevin J.
    Callaghan, John J.
    [J]. JOURNAL OF ARTHROPLASTY, 2018, 33 (01) : 41 - +
  • [4] Nationwide Databases in Orthopaedic Surgery Research
    Bohl, Daniel D.
    Singh, Kern
    Grauer, Jonathan N.
    [J]. JOURNAL OF THE AMERICAN ACADEMY OF ORTHOPAEDIC SURGEONS, 2016, 24 (10) : 673 - 682
  • [5] The Validity of Using Administrative Claims Data in Total Joint Arthroplasty Outcomes Research
    Bozic, Kevin J.
    Chiu, Vanessa W.
    Takemoto, Steven K.
    Greenbaum, Jordan N.
    Smith, Thomas M.
    Jerabek, Seth A.
    Berry, Daniel J.
    [J]. JOURNAL OF ARTHROPLASTY, 2010, 25 (06) : 58 - 61
  • [6] The Development, Evolution, and Modifications of ICD-10 Challenges to the International Comparability of Morbidity Data
    Jette, Nathalie
    Quan, Hude
    Hemmelgarn, Brenda
    Drosler, Saskia
    Maass, Christina
    Moskal, Lori
    Paoin, Wansa
    Sundararajan, Vijaya
    Gao, Song
    Jakob, Robert
    Uestuen, Bedihran
    Ghali, William A.
    [J]. MEDICAL CARE, 2010, 48 (12) : 1105 - 1110
  • [7] The Inaccuracy of ICD-10 Coding in Revision Total Hip Arthroplasty and Its Implication on Revision Data
    Lygrisse, Katherine A.
    Roof, Mackenzie A.
    Keitel, Lauren N.
    Callaghan, John J.
    Schwarzkopf, Ran
    Bedard, Nicholas A.
    [J]. JOURNAL OF ARTHROPLASTY, 2020, 35 (10) : 2960 - +
  • [8] Clinical and Administrative Databases Used in Lower Extremity Arthroplasty Research
    Ng, Mitchell K.
    Vakharia, Rushabh M.
    Bozic, Kevin J.
    Callaghan, John J.
    Mont, Michael A.
    [J]. JOURNAL OF ARTHROPLASTY, 2021, 36 (10) : 3608 - 3615
  • [9] Is American Joint Replacement Registry Data Representative of National Data? A Comparative Analysis
    Porter, Kimberly R.
    Illgen, Richard L.
    Springer, Bryan D.
    Bozic, Kevin J.
    Sporer, Scott M.
    Huddleston, James I.
    Lewallen, David G.
    Browne, James A.
    [J]. JOURNAL OF THE AMERICAN ACADEMY OF ORTHOPAEDIC SURGEONS, 2022, 30 (01) : E124 - E130
  • [10] Assessing validity of ICD-9-CM and ICD-10 administrative data in recording clinical conditions in a unique dually coded database
    Quan, Hude
    Li, Bing
    Saunders, L. Duncan
    Parsons, Gerry A.
    Nilsson, Carolyn I.
    Alibhai, Arif
    Ghali, William A.
    [J]. HEALTH SERVICES RESEARCH, 2008, 43 (04) : 1424 - 1441