Diagnostic accuracy of algorithms to define incident and second hip fractures: A Taiwan validation study
Previous epidemiological researchers have used various algorithms to identify a second hip fracture; however, there has been no validation of these algorithms to date. This study aimed to verify existing algorithms for identifying second hip fracture under the International Classification of Disease...
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| Published in | Journal of the Formosan Medical Association Vol. 122; pp. S82 - S91 |
|---|---|
| Main Authors | , , , , , , , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Singapore
Elsevier B.V
01.01.2023
Elsevier |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0929-6646 1876-0821 1876-0821 |
| DOI | 10.1016/j.jfma.2023.05.037 |
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| Abstract | Previous epidemiological researchers have used various algorithms to identify a second hip fracture; however, there has been no validation of these algorithms to date. This study aimed to verify existing algorithms for identifying second hip fracture under the International Classification of Diseases diagnostic coding systems. Furthermore, we examined the validity of two newly proposed algorithms that integrated the concept of periprosthetic fractures and laterality of the ICD-10 coding system.
Claims data of patients hospitalized for hip fracture from National Taiwan University Hospitals between 2007 and 2020 were retrieved. Hip fracture was confirmed by 2 orthopaedic surgeons with medical records and imaging data as gold standards. The validity of 9 existing and 2 newly proposed algorithms for identifying second hip fracture was evaluated.
The positive predictive value (PPV) range between 84% and 90% in existing algorithms for identifying second hip fractures. Noteworthy, the longer time interval for discrimination resulted in slightly increased PPV (from 87% to 90%), while decreased sensitivity noticeably (from 87% to 72%). When considering the information about periprosthetic fracture, the PPV increased to 91% without diminished sensitivity. The PPV of the newly proposed ICD-10-specific algorithm was 100%.
Algorithms integrated clinical insights of periprosthetic fractures and laterality concept of ICD-10 coding system provided satisfactory validity and help precisely define second hip fracture in future database research. |
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| AbstractList | Previous epidemiological researchers have used various algorithms to identify a second hip fracture; however, there has been no validation of these algorithms to date. This study aimed to verify existing algorithms for identifying second hip fracture under the International Classification of Diseases diagnostic coding systems. Furthermore, we examined the validity of two newly proposed algorithms that integrated the concept of periprosthetic fractures and laterality of the ICD-10 coding system.
Claims data of patients hospitalized for hip fracture from National Taiwan University Hospitals between 2007 and 2020 were retrieved. Hip fracture was confirmed by 2 orthopaedic surgeons with medical records and imaging data as gold standards. The validity of 9 existing and 2 newly proposed algorithms for identifying second hip fracture was evaluated.
The positive predictive value (PPV) range between 84% and 90% in existing algorithms for identifying second hip fractures. Noteworthy, the longer time interval for discrimination resulted in slightly increased PPV (from 87% to 90%), while decreased sensitivity noticeably (from 87% to 72%). When considering the information about periprosthetic fracture, the PPV increased to 91% without diminished sensitivity. The PPV of the newly proposed ICD-10-specific algorithm was 100%.
Algorithms integrated clinical insights of periprosthetic fractures and laterality concept of ICD-10 coding system provided satisfactory validity and help precisely define second hip fracture in future database research. Background: Previous epidemiological researchers have used various algorithms to identify a second hip fracture; however, there has been no validation of these algorithms to date. This study aimed to verify existing algorithms for identifying second hip fracture under the International Classification of Diseases diagnostic coding systems. Furthermore, we examined the validity of two newly proposed algorithms that integrated the concept of periprosthetic fractures and laterality of the ICD-10 coding system. Methods: Claims data of patients hospitalized for hip fracture from National Taiwan University Hospitals between 2007 and 2020 were retrieved. Hip fracture was confirmed by 2 orthopaedic surgeons with medical records and imaging data as gold standards. The validity of 9 existing and 2 newly proposed algorithms for identifying second hip fracture was evaluated. Results: The positive predictive value (PPV) range between 84% and 90% in existing algorithms for identifying second hip fractures. Noteworthy, the longer time interval for discrimination resulted in slightly increased PPV (from 87% to 90%), while decreased sensitivity noticeably (from 87% to 72%). When considering the information about periprosthetic fracture, the PPV increased to 91% without diminished sensitivity. The PPV of the newly proposed ICD-10-specific algorithm was 100%. Conclusion: Algorithms integrated clinical insights of periprosthetic fractures and laterality concept of ICD-10 coding system provided satisfactory validity and help precisely define second hip fracture in future database research. Previous epidemiological researchers have used various algorithms to identify a second hip fracture; however, there has been no validation of these algorithms to date. This study aimed to verify existing algorithms for identifying second hip fracture under the International Classification of Diseases diagnostic coding systems. Furthermore, we examined the validity of two newly proposed algorithms that integrated the concept of periprosthetic fractures and laterality of the ICD-10 coding system.BACKGROUNDPrevious epidemiological researchers have used various algorithms to identify a second hip fracture; however, there has been no validation of these algorithms to date. This study aimed to verify existing algorithms for identifying second hip fracture under the International Classification of Diseases diagnostic coding systems. Furthermore, we examined the validity of two newly proposed algorithms that integrated the concept of periprosthetic fractures and laterality of the ICD-10 coding system.Claims data of patients hospitalized for hip fracture from National Taiwan University Hospitals between 2007 and 2020 were retrieved. Hip fracture was confirmed by 2 orthopaedic surgeons with medical records and imaging data as gold standards. The validity of 9 existing and 2 newly proposed algorithms for identifying second hip fracture was evaluated.METHODSClaims data of patients hospitalized for hip fracture from National Taiwan University Hospitals between 2007 and 2020 were retrieved. Hip fracture was confirmed by 2 orthopaedic surgeons with medical records and imaging data as gold standards. The validity of 9 existing and 2 newly proposed algorithms for identifying second hip fracture was evaluated.The positive predictive value (PPV) range between 84% and 90% in existing algorithms for identifying second hip fractures. Noteworthy, the longer time interval for discrimination resulted in slightly increased PPV (from 87% to 90%), while decreased sensitivity noticeably (from 87% to 72%). When considering the information about periprosthetic fracture, the PPV increased to 91% without diminished sensitivity. The PPV of the newly proposed ICD-10-specific algorithm was 100%.RESULTSThe positive predictive value (PPV) range between 84% and 90% in existing algorithms for identifying second hip fractures. Noteworthy, the longer time interval for discrimination resulted in slightly increased PPV (from 87% to 90%), while decreased sensitivity noticeably (from 87% to 72%). When considering the information about periprosthetic fracture, the PPV increased to 91% without diminished sensitivity. The PPV of the newly proposed ICD-10-specific algorithm was 100%.Algorithms integrated clinical insights of periprosthetic fractures and laterality concept of ICD-10 coding system provided satisfactory validity and help precisely define second hip fracture in future database research.CONCLUSIONAlgorithms integrated clinical insights of periprosthetic fractures and laterality concept of ICD-10 coding system provided satisfactory validity and help precisely define second hip fracture in future database research. |
| Author | Lee, Chia-Che Tai, Ta-Wei Chiang, Hongsen Chang, Cheng-Ying Lee, Ming-Tsung Wang, Chen-Yu Yang, Rong-Sen Liao, Ling-Chiao Lin, Sung-Yen Wu, Chiu-Yi Chen, Hsuan-Yu Li, Chung-Yi Chuang, Chin-Ju Yu, Ping-Ying Hwang, Jawl-Shan Chen, Chung-Hwan Hung, Chih-Chien Fu, Shau-Huai Wu, Chih-Hsing |
| Author_xml | – sequence: 1 givenname: Shau-Huai surname: Fu fullname: Fu, Shau-Huai organization: Department of Orthopedics, National Taiwan University Hospital Yunlin Branch, Yunlin County, Taiwan – sequence: 2 givenname: Ping-Ying surname: Yu fullname: Yu, Ping-Ying organization: Department of General Internal Medicine, Mackay Memorial Hospital, Taipei, Taiwan – sequence: 3 givenname: Chung-Yi orcidid: 0000-0002-0321-8908 surname: Li fullname: Li, Chung-Yi organization: Department of Public Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan – sequence: 4 givenname: Chih-Chien surname: Hung fullname: Hung, Chih-Chien organization: Department of Orthopedics, National Taiwan University Hospital Yunlin Branch, Yunlin County, Taiwan – sequence: 5 givenname: Chia-Che orcidid: 0000-0002-1616-0178 surname: Lee fullname: Lee, Chia-Che organization: Department of Orthopedic Surgery, National Taiwan University Hospital, Taipei, Taiwan – sequence: 6 givenname: Hsuan-Yu orcidid: 0000-0003-4998-7566 surname: Chen fullname: Chen, Hsuan-Yu organization: Department of Orthopedic Surgery, National Taiwan University Hospital, Taipei, Taiwan – sequence: 7 givenname: Ta-Wei surname: Tai fullname: Tai, Ta-Wei organization: Department of Orthopedics, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan – sequence: 8 givenname: Jawl-Shan surname: Hwang fullname: Hwang, Jawl-Shan organization: Division of Endocrinology and Metabolism, Department of Internal Medicine, Chang Gung Memorial Hospital, Chang Gung University, Taoyuan, Taiwan – sequence: 9 givenname: Rong-Sen surname: Yang fullname: Yang, Rong-Sen organization: Department of Orthopedics, National Taiwan University Hospital, Taipei, Taiwan – sequence: 10 givenname: Hongsen surname: Chiang fullname: Chiang, Hongsen organization: Department of Orthopedics, National Taiwan University Hospital, Taipei, Taiwan – sequence: 11 givenname: Sung-Yen surname: Lin fullname: Lin, Sung-Yen organization: Department of Orthopedics, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan – sequence: 12 givenname: Chih-Hsing surname: Wu fullname: Wu, Chih-Hsing organization: Institute of Gerontology, College of Medicine, National Cheng Kung University, Tainan, Taiwan – sequence: 13 givenname: Ling-Chiao surname: Liao fullname: Liao, Ling-Chiao organization: Department of Pharmacy, National Taiwan University Hospital Yunlin Branch, Yunlin County, Taiwan – sequence: 14 givenname: Chin-Ju surname: Chuang fullname: Chuang, Chin-Ju organization: Department of Pharmacy, National Taiwan University Hospital Yunlin Branch, Yunlin County, Taiwan – sequence: 15 givenname: Chiu-Yi surname: Wu fullname: Wu, Chiu-Yi organization: Department of Pharmacy, National Taiwan University Hospital Yunlin Branch, Yunlin County, Taiwan – sequence: 16 givenname: Cheng-Ying surname: Chang fullname: Chang, Cheng-Ying organization: Department of Pharmacy, National Taiwan University Hospital Yunlin Branch, Yunlin County, Taiwan – sequence: 17 givenname: Ming-Tsung surname: Lee fullname: Lee, Ming-Tsung organization: National Center for Geriatrics and Welfare Research, National Health Research Institutes, Yunlin County, Taiwan – sequence: 18 givenname: Chung-Hwan surname: Chen fullname: Chen, Chung-Hwan email: hwan@kmu.edu.tw organization: Department of Orthopedics, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan – sequence: 19 givenname: Chen-Yu orcidid: 0000-0003-0498-2438 surname: Wang fullname: Wang, Chen-Yu email: valinawang0220@nhri.edu.tw organization: Department of Pharmacy, National Taiwan University Hospital Yunlin Branch, Yunlin County, Taiwan |
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| Keywords | International classification of diseases Validity Hip fractures Periprosthetic fracture Diagnostic accuracy |
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| SubjectTerms | Diagnostic accuracy Hip fractures International classification of diseases Periprosthetic fracture Validity |
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| Title | Diagnostic accuracy of algorithms to define incident and second hip fractures: A Taiwan validation study |
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