{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T13:46:11Z","timestamp":1765374371122,"version":"3.46.0"},"reference-count":34,"publisher":"Royal College of General Practitioners","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["BJGP Open"],"accepted":{"date-parts":[[2025,1,22]]},"published-print":{"date-parts":[[2025,10]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>With ageing of the population, both prevalence of chronic kidney disease (CKD) and incidence of kidney replacement therapy (KRT) are rising. Existing research suggests that Read-coding for CKD in those affected is associated with better implementation of recommended care and fewer hospitalisations for heart failure.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Aim<\/jats:title>\n                    <jats:p>To investigate whether coding for CKD is associated with regional KRT incidence in England.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design &amp; setting<\/jats:title>\n                    <jats:p>This is an ecological study using the clinical commissioning groups (CCGs) in England as geographical units.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Method<\/jats:title>\n                    <jats:p>KRT incidence rates were calculated using UK Renal Registry (UKRR) data from January 2019\u2013December 2021. Data on the percentage of uncoded CKD patients (PUCP), who had laboratory evidence of CKD but lacked a diagnostic code, were obtained from the CVDPREVENT Audit, a national audit that extracts routinely held GP data. Data on confounders and acute kidney injury (AKI) mortality as a marker for population frailty were obtained from CVDPREVENT and the UKRR, respectively. Poisson models assessed the association between PUCP and KRT incidence.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>After adjusting, the PUCP was non-linearly associated with KRT incidence, with the CCGs in the lowest PUCP quintile having a lower KRT incidence than the others. There was evidence that this association was more pronounced in CCGs with high AKI mortality compared with CCGs with low AKI mortality.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>At the geographical level in England, the data suggest that the prevalence of not having formally diagnosed CKD is non-linearly associated with a higher KRT incidence rate, especially in areas with a high AKI mortality.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3399\/bjgpo.2024.0171","type":"journal-article","created":{"date-parts":[[2025,2,7]],"date-time":"2025-02-07T07:15:24Z","timestamp":1738912524000},"page":"BJGPO.2024.0171","source":"Crossref","is-referenced-by-count":0,"title":["The association between coding for chronic kidney disease and kidney replacement therapy incidence at CCG-level in England: an ecological study"],"prefix":"10.3399","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5966-3018","authenticated-orcid":false,"given":"Christoph Heinrich","family":"Lindemann","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5589-8311","authenticated-orcid":false,"given":"James","family":"Medcalf","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"James","family":"Hollinshead","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5767-248X","authenticated-orcid":false,"given":"Dorothea","family":"Nitsch","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1987","published-online":{"date-parts":[[2025,2,7]]},"reference":[{"key":"2025111217104246000_9.3.BJGPO.2024.0171.1","doi-asserted-by":"publisher","DOI":"10.1016\/j.phrs.2017.11.003"},{"key":"2025111217104246000_9.3.BJGPO.2024.0171.2","doi-asserted-by":"publisher","DOI":"10.1038\/ki.2011.368"},{"key":"2025111217104246000_9.3.BJGPO.2024.0171.3","unstructured":"Nitsch D Caplin B Hull S Wheeler D (2017) National Chronic Kidney Disease Audit: national report (part 1): January 2017, accessed. https:\/\/www.lshtm.ac.uk\/research\/centres-projects-groups\/ckdaudit#report-downloads. 26 Apr 2025."},{"key":"2025111217104246000_9.3.BJGPO.2024.0171.4","unstructured":"Public Health England (2014) Chronic kidney disease prevalence model, accessed. https:\/\/assets.publishing.service.gov.uk\/government\/uploads\/system\/uploads\/attachment_data\/file\/612303\/ChronickidneydiseaseCKDprevalencemodelbriefing.pdf. 26 Apr 2025."},{"key":"2025111217104246000_9.3.BJGPO.2024.0171.5","doi-asserted-by":"publisher","DOI":"10.1093\/ndt\/gfs269"},{"key":"2025111217104246000_9.3.BJGPO.2024.0171.6","doi-asserted-by":"publisher","DOI":"10.14236\/jhi.v14i3.625"},{"key":"2025111217104246000_9.3.BJGPO.2024.0171.7","doi-asserted-by":"publisher","DOI":"10.1093\/ndt\/gfx280"},{"key":"2025111217104246000_9.3.BJGPO.2024.0171.8","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0100831"},{"key":"2025111217104246000_9.3.BJGPO.2024.0171.9","doi-asserted-by":"publisher","DOI":"10.1136\/bmjopen-2022-064513"},{"key":"2025111217104246000_9.3.BJGPO.2024.0171.10","doi-asserted-by":"publisher","DOI":"10.3399\/bjgp11X561212"},{"key":"2025111217104246000_9.3.BJGPO.2024.0171.11","doi-asserted-by":"publisher","DOI":"10.3399\/bjgp19X704105"},{"key":"2025111217104246000_9.3.BJGPO.2024.0171.12","doi-asserted-by":"publisher","DOI":"10.3399\/bjgp20X713105"},{"key":"2025111217104246000_9.3.BJGPO.2024.0171.13","unstructured":"Mudie K Cleary F Caplin B et al (2017) National Chronic Kidney Disease Audit: national report: part 2 December 2017, accessed. https:\/\/www.lshtm.ac.uk\/media\/9951. 28 Apr 2025."},{"key":"2025111217104246000_9.3.BJGPO.2024.0171.14","unstructured":"UK Renal Registry (2021) UK Renal Registry 23rd annual report \u2014 data to 31\/12\/2019: appendix B. accessed. https:\/\/ukkidney.org\/sites\/renal.org\/files\/23rd_UKRR_ANNUAL_REPORT_APPENDIX_B.pdf. 28 Apr 2025."},{"key":"2025111217104246000_9.3.BJGPO.2024.0171.15","doi-asserted-by":"publisher","DOI":"10.1016\/j.ekir.2020.09.040"},{"key":"2025111217104246000_9.3.BJGPO.2024.0171.16","doi-asserted-by":"publisher","DOI":"10.1016\/j.kint.2018.08.036"},{"key":"2025111217104246000_9.3.BJGPO.2024.0171.17","doi-asserted-by":"publisher","DOI":"10.1007\/s11606-019-04986-9"},{"key":"2025111217104246000_9.3.BJGPO.2024.0171.18","unstructured":"UK Kidney Association (2022) 24th Annual Report - 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