{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,3]],"date-time":"2026-09-03T15:30:04Z","timestamp":1788449404984,"version":"build-2803163510"},"reference-count":41,"publisher":"BMJ","issue":"2","license":[{"start":{"date-parts":[[2024,4,24]],"date-time":"2024-04-24T00:00:00Z","timestamp":1713916800000},"content-version":"unspecified","delay-in-days":23,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/100030888","name":"Private Foundation of the Geneva University Hospitals","doi-asserted-by":"crossref","id":[{"id":"10.13039\/100030888","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["RMD Open"],"accepted":{"date-parts":[[2024,4,10]]},"published-print":{"date-parts":[[2024,4]]},"abstract":"<jats:sec>\n                  <jats:title>Objective<\/jats:title>\n                  <jats:p>To develop an automatic gout register from electronic health records (EHRs) data.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>We analysed the EHR of all patients &gt;18 years old from a tertiary academic hospital (2013\u20132022) based on six criteria: International Classification of Diseases 10 gout diagnosis, urate-lowering therapy prescription, monosodium urate crystals in joint aspiration and gout-related terms in problem lists, clinical or imaging reports. We assessed the positive and negative predictive value (PPV and NPV) of the query by chart reviews.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>Of 2\u2009110\u2009902 outpatients and inpatients, 10\u2009289 had at least one criterion for gout. The combination of joint aspiration OR diagnostic in the problem list OR\u22652 other criteria created a register of 5138 patients, with a PPV of 92.4% (95% CI 88.5% to 95.0%) and an NPV of 94.3% (95% CI 91.9% to 96.0%). PPV and NPV were similar among outpatients and inpatients. Incidence was 2.9 per 1000 person-year and dropped by 30% from the COVID-19 pandemic onward. Patients with gout were on average 71.2 years old (SD 14.9), mainly male (76.5%), overweight (69.5%) and polymorbid (mean number of comorbidities of 3, IQR 1\u20135). More than half (57.4%) had received a urate-lowering treatment, 6.7% had a gout that led to a hospitalisation or \u22652 flares within a year and 32.9% received a rheumatology consultation.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusion<\/jats:title>\n                  <jats:p>An automatic EHR-based gout register is feasible, valid and could be used to evaluate and improve gout management. Interestingly, the register uncovered a marked underdiagnosis or under-reporting of gout since the COVID-19 pandemic.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1136\/rmdopen-2024-004120","type":"journal-article","created":{"date-parts":[[2024,4,25]],"date-time":"2024-04-25T02:41:18Z","timestamp":1714012878000},"page":"e004120","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":6,"title":["Development and validation of a self-updating gout register from electronic health records data"],"prefix":"10.1136","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-3375-1985","authenticated-orcid":false,"given":"Nils","family":"B\u00fcrgisser","sequence":"first","affiliation":[{"name":"Division of Rheumatology, Geneva University Hospitals, Geneva, Switzerland"},{"name":"Division of Internal Medicine, Geneva University Hospitals, Geneva, Switzerland"},{"name":"University of Geneva Faculty of Medicine, Geneva, 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