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Rates of adverse clinical events in patients with chronic kidney disease: analysis of electronic health records from the UK clinical practice research datalink linked to hospital data

BACKGROUND: Further understanding of adverse clinical event rates in patients with chronic kidney disease (CKD) is required for improved quality of care. This study described baseline characteristics, adverse clinical event rates, and mortality risk in patients with CKD, accounting for CKD stage and...

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Autores principales: Little, Dustin J., Arnold, Matthew, Hedman, Katarina, Sun, Ping, Haque, Syed Asif, James, Glen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10077632/
https://www.ncbi.nlm.nih.gov/pubmed/37020294
http://dx.doi.org/10.1186/s12882-023-03119-z
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author Little, Dustin J.
Arnold, Matthew
Hedman, Katarina
Sun, Ping
Haque, Syed Asif
James, Glen
author_facet Little, Dustin J.
Arnold, Matthew
Hedman, Katarina
Sun, Ping
Haque, Syed Asif
James, Glen
author_sort Little, Dustin J.
collection PubMed
description BACKGROUND: Further understanding of adverse clinical event rates in patients with chronic kidney disease (CKD) is required for improved quality of care. This study described baseline characteristics, adverse clinical event rates, and mortality risk in patients with CKD, accounting for CKD stage and dialysis status. METHODS: This retrospective, noninterventional cohort study included data from adults (aged ≥ 18 years) with two consecutive estimated glomerular filtration rates of < 60 ml/min/1.73 m(2), recorded ≥ 3 months apart, from the UK Clinical Practice Research Datalink of electronic health records obtained between January 1, 2004, and December 31, 2017. Select adverse clinical events, associated with CKD and difficult to quantify in randomized trials, were assessed; defined by Read codes and International Classification of Diseases, Tenth Revision codes. Clinical event rates were assessed by dialysis status (dialysis-dependent [DD], incident dialysis-dependent [IDD], or non–dialysis-dependent [NDD]), dialysis modality (hemodialysis [HD] or peritoneal dialysis [PD]), baseline NDD-CKD stage (3a–5), and observation period. RESULTS: Overall, 310,953 patients with CKD were included. Comorbidities were more common in patients receiving dialysis than in NDD-CKD, and increased with advancing CKD stage. Rates of adverse clinical events, particularly hyperkalemia and infection/sepsis, also increased with advancing CKD stage and were higher in patients on HD versus PD. Mortality risk during follow-up (1–5-year range) was lowest in patients with stage 3a NDD-CKD (2.0–18.5%) and highest in patients with IDD-CKD (26.3–58.4%). CONCLUSIONS: These findings highlight the need to monitor patients with CKD for comorbidities and complications, as well as signs or symptoms of clinical adverse events. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12882-023-03119-z.
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spelling pubmed-100776322023-04-07 Rates of adverse clinical events in patients with chronic kidney disease: analysis of electronic health records from the UK clinical practice research datalink linked to hospital data Little, Dustin J. Arnold, Matthew Hedman, Katarina Sun, Ping Haque, Syed Asif James, Glen BMC Nephrol Research BACKGROUND: Further understanding of adverse clinical event rates in patients with chronic kidney disease (CKD) is required for improved quality of care. This study described baseline characteristics, adverse clinical event rates, and mortality risk in patients with CKD, accounting for CKD stage and dialysis status. METHODS: This retrospective, noninterventional cohort study included data from adults (aged ≥ 18 years) with two consecutive estimated glomerular filtration rates of < 60 ml/min/1.73 m(2), recorded ≥ 3 months apart, from the UK Clinical Practice Research Datalink of electronic health records obtained between January 1, 2004, and December 31, 2017. Select adverse clinical events, associated with CKD and difficult to quantify in randomized trials, were assessed; defined by Read codes and International Classification of Diseases, Tenth Revision codes. Clinical event rates were assessed by dialysis status (dialysis-dependent [DD], incident dialysis-dependent [IDD], or non–dialysis-dependent [NDD]), dialysis modality (hemodialysis [HD] or peritoneal dialysis [PD]), baseline NDD-CKD stage (3a–5), and observation period. RESULTS: Overall, 310,953 patients with CKD were included. Comorbidities were more common in patients receiving dialysis than in NDD-CKD, and increased with advancing CKD stage. Rates of adverse clinical events, particularly hyperkalemia and infection/sepsis, also increased with advancing CKD stage and were higher in patients on HD versus PD. Mortality risk during follow-up (1–5-year range) was lowest in patients with stage 3a NDD-CKD (2.0–18.5%) and highest in patients with IDD-CKD (26.3–58.4%). CONCLUSIONS: These findings highlight the need to monitor patients with CKD for comorbidities and complications, as well as signs or symptoms of clinical adverse events. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12882-023-03119-z. BioMed Central 2023-04-05 /pmc/articles/PMC10077632/ /pubmed/37020294 http://dx.doi.org/10.1186/s12882-023-03119-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Little, Dustin J.
Arnold, Matthew
Hedman, Katarina
Sun, Ping
Haque, Syed Asif
James, Glen
Rates of adverse clinical events in patients with chronic kidney disease: analysis of electronic health records from the UK clinical practice research datalink linked to hospital data
title Rates of adverse clinical events in patients with chronic kidney disease: analysis of electronic health records from the UK clinical practice research datalink linked to hospital data
title_full Rates of adverse clinical events in patients with chronic kidney disease: analysis of electronic health records from the UK clinical practice research datalink linked to hospital data
title_fullStr Rates of adverse clinical events in patients with chronic kidney disease: analysis of electronic health records from the UK clinical practice research datalink linked to hospital data
title_full_unstemmed Rates of adverse clinical events in patients with chronic kidney disease: analysis of electronic health records from the UK clinical practice research datalink linked to hospital data
title_short Rates of adverse clinical events in patients with chronic kidney disease: analysis of electronic health records from the UK clinical practice research datalink linked to hospital data
title_sort rates of adverse clinical events in patients with chronic kidney disease: analysis of electronic health records from the uk clinical practice research datalink linked to hospital data
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10077632/
https://www.ncbi.nlm.nih.gov/pubmed/37020294
http://dx.doi.org/10.1186/s12882-023-03119-z
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