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      Operational Definition Identifying Osteoporotic Vertebral Fractures in the Claims Database

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          Abstract

          Background

          We analyzed the International Classification of Diseases, 10th edition (ICD-10) diagnostic codes, procedure codes, and radiographic image codes for vertebral fracture (VF) used in the database of Health Insurance Review and Assessment Service (HIRA) of Korea to establish a validated operational definition for identifying patients with osteoporotic VF in claims data.

          Methods

          We developed three operational definitions for detecting VFs using 9 diagnostic codes, 5 procedure codes and 4 imaging codes. Medical records and radiographs of 2,819 patients, who had primary and subordinated codes of VF between January 2016 and December 2016 at two institutions, were reviewed to detect true vertebral fractures. We evaluated the sensitivity and positive predictive value (PPV) of the operational definition in detecting true osteoporotic VF and obtained the receiver operating characteristic (ROC) curve.

          Results

          Among the 2,819 patients who had primary or secondary diagnosis codes for VF, 995 patients satisfied at least one of the criteria for the operational definition of osteoporotic VF. Of these patients, 594 were judged as having true fractures based on medical records and radiographic examinations. The sensitivity and PPV were 62.5 (95% confidence interval [CI], 59.4–65.6) and 59.7(95% CI, 56.6–62.8) respectively. In the receiver operating characteristic analysis, area under the curve (AUC) was 0.706 (95% CI, 0.688–0.724).

          Conclusion

          Our findings demonstrate the validity of our operational definitions to identify VFs more accurately using claims data. This algorithm to identify VF is likely to be useful in future studies for diagnosing osteoporotic VF.

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          Most cited references40

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          Vertebral fracture assessment using a semiquantitative technique.

          The assessment of vertebral fracture by conventional radiography has been refined and improved using either semiquantitative or quantitative criteria. The inter- and intraobserver variability was determined for a semiquantitative visual approach that we routinely use in clinical studies for assessing prevalent and incident vertebral fractures. In addition, the semiquantitative approach was compared with a quantitative morphometric approach. The incidence and prevalence of vertebral fractures were determined in 57 postmenopausal women (age 65-75 years) by three independent observers. The radiographic basis for fracture definitions and the source of interobserver agreement for the semiquantitative technique. We conclude that the semiquantitative approach can be applied reliably in vertebral fracture assessment when performed using well-defined criteria.
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            Epidemiology and outcomes of osteoporotic fractures.

            Bone mass declines and the risk of fractures increases as people age, especially as women pass through the menopause. Hip fractures, the most serious outcome of osteoporosis, are becoming more frequent than before because the world's population is ageing and because the frequency of hip fractures is increasing by 1-3% per year in most areas of the world. Rates of hip fracture vary more widely from region to region than does the prevalence of vertebral fractures. Low bone density and previous fractures are risk factors for almost all types of fracture, but each type of fracture also has its own unique risk factors. Prevention of fractures with drugs could potentially be as expensive as medical treatment of fractures. Therefore, epidemiological research should be done and used to identify individuals at high-risk of disabling fractures, thereby allowing careful allocation of expensive treatments to individuals most in need.
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              Validation of Acute Myocardial Infarction Cases in the National Health Insurance Research Database in Taiwan

              Background The aim of this study was to determine the validity of acute myocardial infarction (AMI) diagnosis coding in the National Health Insurance Research Database (NHIRD) by cross-comparisons of discharge diagnoses listed in the NHIRD with those in the medical records obtained from a medical center in Taiwan. Methods This was a cross-sectional study comparing records in the NHIRD and discharge notes in one medical center (DNMC) in the year 2008. Positive predictive values (PPVs) for AMI diagnoses were evaluated by reviewing the relevant clinical and laboratory data recorded in the discharge notes of the medical center. Agreement in comorbidities, cardiac procedures, and antiplatelet agent (aspirin or clopidogrel) prescriptions between the two databases was evaluated. Results We matched 341 cases of AMI hospitalizations from the two databases, and 338 cases underwent complete chart review. Of these 338 AMI cases, 297 were confirmed with clinical and lab data, which yielded a PPV of 0.88. The consistency rate for coronary intervention, stenting, and antiplatelet prescription at admission was high, yielding a PPV over 0.90. The percentage of consistency in comorbidity diagnoses was 95.9% (324/338) among matched AMI cases. Conclusions The NHIRD appears to be a valid resource for population research in cardiovascular diseases.
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                Author and article information

                Journal
                J Korean Med Sci
                J Korean Med Sci
                JKMS
                Journal of Korean Medical Science
                The Korean Academy of Medical Sciences
                1011-8934
                1598-6357
                15 August 2022
                04 August 2022
                : 37
                : 32
                : e249
                Affiliations
                [1 ]Department of Internal Medicine, Endocrine Research Institute, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
                [2 ]Department of Internal Medicine, Yonsei Wonju College of Medicine, Wonju, Korea.
                [3 ]Department of Internal Medicine, Gangneung Asan Hospital, University of Ulsan College of Medicine, Gangneung, Korea.
                [4 ]Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
                [5 ]Department of Orthopaedic Surgery, Seoul National University College of Medicine and Seoul National University Bundang Hospital, Seongnam, Korea.
                [6 ]Department of Orthopaedic Surgery, School of Medicine, Konkuk University, Seoul, Korea.
                [7 ]Department of Orthopaedic Surgery, College of Medicine, Chung-Ang University, Seoul, Korea.
                [8 ]Department of Orthopaedic Surgery, Seoul National University Bundang Hospital and Kay Joint Center at Cheil Orthopaedic Hospital, Seoul, Korea.
                Author notes
                Address for Correspondence: Sang-Min Park, MD. Department of Orthopaedic Surgery, Seoul National University College of Medicine and Seoul National University Bundang Hospital, 82 Gumi-ro 173beon-gil, Bundang-gu, Seongnam 13620, Republic of Korea. psmini@ 123456naver.com
                Address for Correspondence: Young-Kyun Lee, MD. Department of Orthopaedic Surgery, Seoul National University College of Medicine and Seoul National University Bundang Hospital, 82 Gumi-ro 173beon-gil, Bundang-gu, Seongnam 13620, Republic of Korea. ykleemd@ 123456gmail.com

                *Min Heui Yu and Namki Hong contributed equally to this study, and should be considered as co-first authors.

                Present address: Department of Orthopaedic Surgery, Seoul Bumin Hospital, Seoul, Korea

                Author information
                https://orcid.org/0000-0003-3787-795X
                https://orcid.org/0000-0002-8246-1956
                https://orcid.org/0000-0001-9254-183X
                https://orcid.org/0000-0002-0651-2213
                https://orcid.org/0000-0002-3275-1437
                https://orcid.org/0000-0001-6171-3256
                https://orcid.org/0000-0001-6564-4294
                https://orcid.org/0000-0003-2624-7629
                https://orcid.org/0000-0002-6249-0581
                https://orcid.org/0000-0003-4227-5638
                https://orcid.org/0000-0001-5251-2911
                Article
                10.3346/jkms.2022.37.e249
                9424695
                35971763
                92810e00-8b01-48b8-a2b5-6d0c7f481629
                © 2022 The Korean Academy of Medical Sciences.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 15 June 2022
                : 07 July 2022
                Funding
                Funded by: Korea Health Industry Development Institute, CrossRef https://doi.org/10.13039/501100003710;
                Award ID: HI18C0284
                Categories
                Original Article
                Musculoskeletal Disorders, Rehabilitation & Sports Medicine

                Medicine
                claim database,vertebral fracture,operational definition,osteoporosis
                Medicine
                claim database, vertebral fracture, operational definition, osteoporosis

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