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Associations and mitigations: an analysis of the changing risk factor landscape for chronic kidney disease in primary care using national general practice level data

OBJECTIVES: Early recognition of chronic kidney disease (CKD) should be achieved by every modern healthcare system. The objective of this study was to investigate CKD risk factor trends in England using general practice level data. DESIGN: Observational analysis of data at practice level for all gen...

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Autores principales: Stedman, Mike, Heald, Adrian, Robinson, Adam, Davies, Mark, Harnett, Patrick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9791436/
https://www.ncbi.nlm.nih.gov/pubmed/36549719
http://dx.doi.org/10.1136/bmjopen-2022-064723
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author Stedman, Mike
Heald, Adrian
Robinson, Adam
Davies, Mark
Harnett, Patrick
author_facet Stedman, Mike
Heald, Adrian
Robinson, Adam
Davies, Mark
Harnett, Patrick
author_sort Stedman, Mike
collection PubMed
description OBJECTIVES: Early recognition of chronic kidney disease (CKD) should be achieved by every modern healthcare system. The objective of this study was to investigate CKD risk factor trends in England using general practice level data. DESIGN: Observational analysis of data at practice level for all general practices in England. Practice characteristics identified as potential CKD risk factors included comorbidities and local demography. Data were analysed using both univariate and multivariate analysis to identify significant factors that were associated with CKD diagnosis for the period 1 April 2019 to 31 March 2020. SETTING: Publicly available data from UK primary care sources including Primary Care Quality and Outcomes Framework database, practice-level prescribing data from the British National Formulary and Public Health England health outcome data. PARTICIPANTS: All data submitted from 6471 medium to large practices in England were included (over 46 million patients). RISK FACTOR ANALYSIS: Potential risk factors were grouped into four classes based on existing literature: demographic factors, comorbidities, service and practice outcome factors, and prescribing data effects. RESULTS: The original model’s prediction of CKD improved from r(2) 0.38 to an r(2) of 0.66 when updated factors were included. Positive associations included known risk factors with higher relative risk such as hypertension and diabetes, along with less recognised factors such as depression and use of opiates. Negative associations included NSAIDs which are traditionally associated with increased CKD risk, and prescribing of antibiotics, along with more northerly locations. CONCLUSIONS: CKD is a preventable disease with high costs and consequences. These data and novel analysis give clearer relative risk values for different patient characteristics with some unexpected findings such as potential harmful association between CKD and opiates, and a more benign association with NSAIDs. A deeper understanding of CKD risk factors is important to update and implement local and national management strategies. Further research is required to establish the causal nature of these associations and to refine location appropriate actions to minimise harm from CKD on regional and local levels.
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spelling pubmed-97914362022-12-27 Associations and mitigations: an analysis of the changing risk factor landscape for chronic kidney disease in primary care using national general practice level data Stedman, Mike Heald, Adrian Robinson, Adam Davies, Mark Harnett, Patrick BMJ Open Renal Medicine OBJECTIVES: Early recognition of chronic kidney disease (CKD) should be achieved by every modern healthcare system. The objective of this study was to investigate CKD risk factor trends in England using general practice level data. DESIGN: Observational analysis of data at practice level for all general practices in England. Practice characteristics identified as potential CKD risk factors included comorbidities and local demography. Data were analysed using both univariate and multivariate analysis to identify significant factors that were associated with CKD diagnosis for the period 1 April 2019 to 31 March 2020. SETTING: Publicly available data from UK primary care sources including Primary Care Quality and Outcomes Framework database, practice-level prescribing data from the British National Formulary and Public Health England health outcome data. PARTICIPANTS: All data submitted from 6471 medium to large practices in England were included (over 46 million patients). RISK FACTOR ANALYSIS: Potential risk factors were grouped into four classes based on existing literature: demographic factors, comorbidities, service and practice outcome factors, and prescribing data effects. RESULTS: The original model’s prediction of CKD improved from r(2) 0.38 to an r(2) of 0.66 when updated factors were included. Positive associations included known risk factors with higher relative risk such as hypertension and diabetes, along with less recognised factors such as depression and use of opiates. Negative associations included NSAIDs which are traditionally associated with increased CKD risk, and prescribing of antibiotics, along with more northerly locations. CONCLUSIONS: CKD is a preventable disease with high costs and consequences. These data and novel analysis give clearer relative risk values for different patient characteristics with some unexpected findings such as potential harmful association between CKD and opiates, and a more benign association with NSAIDs. A deeper understanding of CKD risk factors is important to update and implement local and national management strategies. Further research is required to establish the causal nature of these associations and to refine location appropriate actions to minimise harm from CKD on regional and local levels. BMJ Publishing Group 2022-12-22 /pmc/articles/PMC9791436/ /pubmed/36549719 http://dx.doi.org/10.1136/bmjopen-2022-064723 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Renal Medicine
Stedman, Mike
Heald, Adrian
Robinson, Adam
Davies, Mark
Harnett, Patrick
Associations and mitigations: an analysis of the changing risk factor landscape for chronic kidney disease in primary care using national general practice level data
title Associations and mitigations: an analysis of the changing risk factor landscape for chronic kidney disease in primary care using national general practice level data
title_full Associations and mitigations: an analysis of the changing risk factor landscape for chronic kidney disease in primary care using national general practice level data
title_fullStr Associations and mitigations: an analysis of the changing risk factor landscape for chronic kidney disease in primary care using national general practice level data
title_full_unstemmed Associations and mitigations: an analysis of the changing risk factor landscape for chronic kidney disease in primary care using national general practice level data
title_short Associations and mitigations: an analysis of the changing risk factor landscape for chronic kidney disease in primary care using national general practice level data
title_sort associations and mitigations: an analysis of the changing risk factor landscape for chronic kidney disease in primary care using national general practice level data
topic Renal Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9791436/
https://www.ncbi.nlm.nih.gov/pubmed/36549719
http://dx.doi.org/10.1136/bmjopen-2022-064723
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