{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T22:51:24Z","timestamp":1790635884930,"version":"4.1.0"},"reference-count":21,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2023,10,24]],"date-time":"2023-10-24T00:00:00Z","timestamp":1698105600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2023,10,24]],"date-time":"2023-10-24T00:00:00Z","timestamp":1698105600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Health Serv Res"],"abstract":"<jats:title>Abstract<\/jats:title><jats:sec>\n                <jats:title>Background<\/jats:title>\n                <jats:p>The use of national medico-administrative databases for epidemiological studies has increased in the last decades. In France, the Healthcare Expenditures and Conditions Mapping (HECM) algorithm has been developed to analyse and monitor the morbidity and economic burden of 58 diseases. We aimed to assess the performance of the HECM in identifying different conditions in patients with end-stage kidney disease (ESKD) using data from the REIN registry (the French National Registry for patients with ESKD).<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Methods<\/jats:title>\n                <jats:p>We included all patients over 18 years of age who started renal replacement therapy in France in 2018. Five conditions with a similar definition in both databases were included (ESKD, diabetes, human immunodeficiency virus [HIV], coronary insufficiency, and cancer). The performance of each SNDS algorithm was assessed using sensitivity, specificity, positive predictive values (PPVs), negative predictive values (NPVs), and Cohen\u2019s kappa coefficient.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>In total 5,971 patients were included. Among them, 81% were identified as having ESKD in both databases. Diabetes was the condition with the best performance, with a sensitivity, specificity, PPV, NPV, and Kappa coefficient all over 80%. Cancer had the lowest level of agreement with a Kappa coefficient of 51% and a high specificity and high NPV (94% and 95%). The conditions for which the definition in the HECM included disease-specific medications performed better in our study.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusion<\/jats:title>\n                <jats:p>The HECM showed good to very good concordance with the REIN database information overall, with the exception of cancer. Further validation of the HECM tool in other populations should be performed.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s12913-023-10145-y","type":"journal-article","created":{"date-parts":[[2023,10,24]],"date-time":"2023-10-24T00:01:43Z","timestamp":1698105703000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Cross-validation of comorbidity items in two national databases in a sample of patients with end-stage kidney disease"],"prefix":"10.1186","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4639-8862","authenticated-orcid":false,"given":"Isabella","family":"Vanorio-Vega","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4023-5915","authenticated-orcid":false,"given":"Panayotis","family":"Constantinou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Assia","family":"Hami","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eric","family":"Cellarier","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9226-9071","authenticated-orcid":false,"given":"Antoine","family":"Rachas","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5698-9215","authenticated-orcid":false,"given":"Philippe","family":"Tuppin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9273-660X","authenticated-orcid":false,"given":"C\u00e9cile","family":"Couchoud","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,10,24]]},"reference":[{"issue":"3","key":"10145_CR1","doi-asserted-by":"publisher","first-page":"283","DOI":"10.1136\/jech-2013-202744","volume":"68","author":"N GavrielovYusim","year":"2014","unstructured":"GavrielovYusim N, Friger M. Use of administrative medical databases in population-based research on JSTOR. J Epidemiol Community Health. 2014;68(3):283\u20137. Available from: https:\/\/www-jstor-org.ezproxy.universite-paris-saclay.fr\/stable\/43281961.","journal-title":"J Epidemiol Community Health"},{"issue":"12","key":"10145_CR2","doi-asserted-by":"publisher","first-page":"725","DOI":"10.1038\/ncprheum0652","volume":"3","author":"S Suissa","year":"2007","unstructured":"Suissa S, Garbe E. Primer: administrative health databases in observational studies of drug effects\u2014advantages and disadvantages. Nat Clin Pract Rheumatol. 2007;3(12):725\u201332.","journal-title":"Nat Clin Pract Rheumatol"},{"issue":"3","key":"10145_CR3","doi-asserted-by":"publisher","first-page":"302","DOI":"10.1097\/EDE.0b013e31820f31e1","volume":"22","author":"W Ray","year":"2011","unstructured":"Ray W. Improving automated database studies. Epidemiology. 2011;22(3):302\u20134.","journal-title":"Epidemiology"},{"issue":"4","key":"10145_CR4","doi-asserted-by":"publisher","first-page":"s149","DOI":"10.1016\/j.respe.2017.05.004","volume":"65","author":"P Tuppin","year":"2017","unstructured":"Tuppin P, Rudant J, Constantinou P, Gastaldi-M\u00e9nager C, Rachas A, de Roquefeuil L, et al. Value of a national administrative database to guide public decisions: From the syst\u00e8me national d\u2019information interr\u00e9gimes de l\u2019Assurance Maladie (SNIIRAM) to the syst\u00e8me national des donn\u00e9es de sant\u00e9 (SNDS) in France. Rev Epidemiol Sante Publique. 2017;65(4):s149-67.","journal-title":"Rev Epidemiol Sante Publique"},{"issue":"9","key":"10145_CR5","doi-asserted-by":"publisher","first-page":"655","DOI":"10.1097\/MLR.0000000000001745","volume":"60","author":"A Rachas","year":"2022","unstructured":"Rachas A, Gastaldi-M\u00e9nager C, Denis P, Barth\u00e9l\u00e9my P, Constantinou P, Drouin J, et al. 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Arch Cardiovasc Dis. 2020;113(8):534\u201341.","journal-title":"Arch Cardiovasc Dis"},{"key":"10145_CR21","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1016\/j.acvd.2022.11.002","volume":"116","author":"D Logeart","year":"2023","unstructured":"Logeart D, Damy T, Doublet M, Salvat M, Tribouilloy C, Bauer F, et al. Feasibility and accuracy of linking a heart failure registry to the national claims database using indirect identifiers. Arch Cardiovasc Dis. 2023;116:18\u201324.","journal-title":"Arch Cardiovasc Dis"}],"container-title":["BMC Health Services Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12913-023-10145-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s12913-023-10145-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12913-023-10145-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,21]],"date-time":"2023-11-21T22:20:18Z","timestamp":1700605218000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmchealthservres.biomedcentral.com\/articles\/10.1186\/s12913-023-10145-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,24]]},"references-count":21,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2023,12]]}},"alternative-id":["10145"],"URL":"https:\/\/doi.org\/10.1186\/s12913-023-10145-y","relation":{},"ISSN":["1472-6963"],"issn-type":[{"value":"1472-6963","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,10,24]]},"assertion":[{"value":"11 April 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 October 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 October 2023","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The creation of the REIN registry was approved by the relevant French committees: the Comit\u00e9 consultatif sur le traitement de l\u2019information en mati\u00e8re de recherch\u00e9 (CCTIRS N\u00b003\u2013149) and the Commission nationale de l\u2019informatique et des libert\u00e9s (CNIL N\u00b0 903188). For population-based registries requiring exhaustiveness, French regulations require that patients be informed by the clinic that if he\/she opposes to his nominative data recording, he\/she will be anonymously recorded. Patients\u2019 under the CNIL regulations have the right to withdrawal information have been anonymized and de-identified before the extraction for analysis. Patients in the REIN registry have been given the option to opt out from the use of their personal data. Those who consented have consented to the use of data for research. The use of the databases are under compliance of the approval by CNIL (French regulations), more information\u2019s on: The Data Protection Act | CNIL [Internet]. [Cited 2023 Apr 19]. Available from: . Patients information letter and REIN compliance details (REIN information letter) available at: R.E.I.N. (R\u00e9seau Epid\u00e9miologique et Information en (&hellip;)\u2014Agence de la biom\u00e9decine [Internet]. 2021. Available from: The French national health insurance (CNAM) in charge of the SNDS (Syst\u00e8me National des Donn\u00e9es de Sant\u00e9) has permanent access to the pseudonymized reimbursement data in application of the provisions of articles R. 1461\u201012 et seq. of the French Public Health Code, with rules and criteria similar to the Helsinki declaration and permanent full access to the SNDS by decree (D\u00e9cret n\u00b0 2016\u20131871 du 26 d\u00e9cembre 2016 relatif au traitement de donn\u00e9es \u00e0 caract\u00e8re personnel d\u00e9nomm\u00e9 \u00ab syst\u00e8me national des donn\u00e9es de sant\u00e9\u00bb). The CNAM has authorization to perform studies based on SNDS data from the CNIL (National independent Commission for Computing and Freedom, the French data protection agency for sensitive information). All methods were carried out in accordance with relevant guidelines and regulations.The main author of this article is under the ethical requirement of both the Agence de la biom\u00e9decine (institution managing the REIN registry and database) as well as the CNAM. The scientific committee from the biomedical agency approved the use of their databases for this study.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"1140"}}