{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,20]],"date-time":"2026-09-20T02:40:41Z","timestamp":1789872041342,"version":"4.0.1"},"reference-count":32,"publisher":"BMJ","issue":"3","license":[{"start":{"date-parts":[[2022,3,27]],"date-time":"2022-03-27T00:00:00Z","timestamp":1648339200000},"content-version":"unspecified","delay-in-days":26,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000724","name":"Health Foundation","doi-asserted-by":"publisher","award":["1725841"],"award-info":[{"award-number":["1725841"]}],"id":[{"id":"10.13039\/501100000724","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000274","name":"British Heart Foundation","doi-asserted-by":"publisher","award":["SP\/16\/5\/32415"],"award-info":[{"award-number":["SP\/16\/5\/32415"]}],"id":[{"id":"10.13039\/501100000274","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000289","name":"Cancer Research UK","doi-asserted-by":"publisher","award":["C53325\/A21134"],"award-info":[{"award-number":["C53325\/A21134"]}],"id":[{"id":"10.13039\/501100000289","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000291","name":"Kidney Research UK","doi-asserted-by":"publisher","award":["IN_008_20180304"],"award-info":[{"award-number":["IN_008_20180304"]}],"id":[{"id":"10.13039\/501100000291","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000272","name":"NIHR","doi-asserted-by":"crossref","award":["NIHR 300906"],"award-info":[{"award-number":["NIHR 300906"]}],"id":[{"id":"10.13039\/501100000272","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["BMJ Open"],"accepted":{"date-parts":[[2022,2,23]]},"published-print":{"date-parts":[[2022,3]]},"abstract":"<jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>Acute myocardial infarction (AMI) case ascertainment improves for the UK general population using linked health data sets. Because care pathways for people with chronic kidney disease (CKD) change based on disease severity, AMI case ascertainment for these people may differ compared with the general population. We aimed to determine the association between CKD severity and AMI case ascertainment in two secondary care data sets, and the agreement in estimated glomerular filtration rate (eGFR) between the same data sets.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      We used a cohort study design. Primary care records for people with CKD or risk factors for CKD, identified using the National CKD Audit (2015\u20132017), were linked to the Myocardial Ischaemia National Audit Project (MINAP, 2007\u20132017) and Hospital Episode Statistics (HES, 2007\u20132017) secondary care registries. People with an AMI recorded in either MINAP, HES or both were included in the study cohort. CKD status was defined using eGFR, derived from the most recent serum creatinine value recorded in primary care. Moderate\u2013severe CKD was defined as eGFR &lt;60\u2009mL\/min\/1.73 m\n                      <jats:sup>2<\/jats:sup>\n                      , and mild CKD or at risk of CKD was defined as eGFR \u226560\u2009mL\/min\/1.73 m\n                      <jats:sup>2<\/jats:sup>\n                      or eGFR missing. CKD stages were grouped as (1) At risk of CKD and Stages 1\u20132 (eGFR missing or \u226560\u2009mL\/min\/1.73 m\n                      <jats:sup>2<\/jats:sup>\n                      ), (2) Stage 3a (eGFR 45\u201359\u2009mL\/min\/1.73 m\n                      <jats:sup>2<\/jats:sup>\n                      ), (3) Stage 3b (eGFR 30\u201344\u2009mL\/min\/1.73 m\n                      <jats:sup>2<\/jats:sup>\n                      ) and (4) Stages 4\u20135 (eGFR &lt;30\u2009mL\/min\/1.73 m\n                      <jats:sup>2<\/jats:sup>\n                      ).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>We identified 6748 AMIs: 23% were recorded in both MINAP and HES, 66% in HES only and 11% in MINAP only. Compared with people at risk of CKD or with mild CKD, AMIs in people with moderate\u2013severe CKD were more likely to be recorded in both MINAP and HES (42% vs 11%, respectively), or MINAP only (22% vs 5%), and less likely to be recorded in HES only (36% vs 84%). People with AMIs recorded in HES only or MINAP only had increased odds of death during hospitalisation compared with those recorded in both (adjusted OR 1.61, 95% CI 1.32 to 1.96 and OR 1.60, 95%\u2009CI 1.26 to 2.04, respectively). Agreement between eGFR at AMI admission (MINAP) and in primary care was poor (kappa (K) 0.42, SE 0.012).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>AMI case ascertainment is incomplete in both MINAP and HES, and is associated with CKD severity.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1136\/bmjopen-2021-057909","type":"journal-article","created":{"date-parts":[[2022,3,28]],"date-time":"2022-03-28T23:17:18Z","timestamp":1648509438000},"page":"e057909","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":8,"title":["Impact of chronic kidney disease on case ascertainment for hospitalised acute myocardial infarction: an English cohort study"],"prefix":"10.1136","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7644-2030","authenticated-orcid":false,"given":"Patrick","family":"Bidulka","sequence":"first","affiliation":[{"name":"Department of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jemima","family":"Scott","sequence":"additional","affiliation":[{"name":"Population Health Sciences, University of Bristol, Bristol, UK"},{"name":"Richard Bright Renal Service, North Bristol NHS Trust, Southmead Hospital, Bristol, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dominic M","family":"Taylor","sequence":"additional","affiliation":[{"name":"Population Health Sciences, University of Bristol, Bristol, UK"},{"name":"Richard Bright Renal Service, North Bristol NHS Trust, Southmead Hospital, Bristol, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Udaya","family":"Udayaraj","sequence":"additional","affiliation":[{"name":"Oxford Kidney Unit, Churchill Hospital, Oxford, Oxfordshire, UK"},{"name":"Nuffield Department of Medicine, University of Oxford, Oxford, Oxfordshire, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fergus","family":"Caskey","sequence":"additional","affiliation":[{"name":"Population Health Sciences, University of Bristol, Bristol, UK"},{"name":"Richard Bright Renal Service, North Bristol NHS Trust, Southmead Hospital, Bristol, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lucy","family":"Teece","sequence":"additional","affiliation":[{"name":"Biostatistics Research Group, Department of Health Sciences, University of Leicester, Leicester, Leicestershire, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael","family":"Sweeting","sequence":"additional","affiliation":[{"name":"Biostatistics Research Group, Department of Health Sciences, University of Leicester, Leicester, Leicestershire, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John","family":"Deanfield","sequence":"additional","affiliation":[{"name":"National Institute for Cardiovascular Outcomes Research (NICOR), Barts Health NHS Trust, London, UK"},{"name":"Institute of Cardiovascular Sciences, University College London, London, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mark","family":"de Belder","sequence":"additional","affiliation":[{"name":"National Institute for Cardiovascular Outcomes Research (NICOR), Barts Health NHS Trust, London, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Spiros","family":"Denaxas","sequence":"additional","affiliation":[{"name":"Institute of Health Informatics, Faculty of Population Health Sciences, University College London, London, UK"},{"name":"Health Data Research UK, London, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Clive","family":"Weston","sequence":"additional","affiliation":[{"name":"Glangwili General Hospital, Carmarthen, Carmarthenshire, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"Adlam","sequence":"additional","affiliation":[{"name":"Department of Cardiovascular Sciences, University of Leicester and NIHR Leicester Biomedical Research Centre, Leicester, Leicestershire, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dorothea","family":"Nitsch","sequence":"additional","affiliation":[{"name":"Department of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"239","published-online":{"date-parts":[[2022,3,28]]},"reference":[{"key":"2025121509383487000_12.3.e057909.1","unstructured":"Foundation BH . 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