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 genera...

Full description

Saved in:
Bibliographic Details
Main Authors: Mark Davies, Adrian Heald, Mike Stedman, Patrick Harnett, Adam Robinson
Format: Article
Language:English
Published: BMJ Publishing Group 2022-12-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/12/12/e064723.full
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1850148061974626304
author Mark Davies
Adrian Heald
Mike Stedman
Patrick Harnett
Adam Robinson
author_facet Mark Davies
Adrian Heald
Mike Stedman
Patrick Harnett
Adam Robinson
author_sort Mark Davies
collection DOAJ
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 r2 0.38 to an r2 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.
format Article
id doaj-art-d6f4dc2fdcc24a93be0be9c20b239a0c
institution OA Journals
issn 2044-6055
language English
publishDate 2022-12-01
publisher BMJ Publishing Group
record_format Article
series BMJ Open
spelling doaj-art-d6f4dc2fdcc24a93be0be9c20b239a0c2025-08-20T02:27:22ZengBMJ Publishing GroupBMJ Open2044-60552022-12-01121210.1136/bmjopen-2022-064723Associations and mitigations: an analysis of the changing risk factor landscape for chronic kidney disease in primary care using national general practice level dataMark Davies0Adrian Heald1Mike Stedman2Patrick Harnett3Adam Robinson4Res Consortium, Andover, UKUniversity of Manchester, Manchester, UKRes Consortium, Andover, UKDepartment of Renal Medicine, Princess Elizabeth Hospital, Saint Andrews, GuernseyUniversity of Manchester, Manchester, UKObjectives 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 r2 0.38 to an r2 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.https://bmjopen.bmj.com/content/12/12/e064723.full
spellingShingle Mark Davies
Adrian Heald
Mike Stedman
Patrick Harnett
Adam Robinson
Associations and mitigations: an analysis of the changing risk factor landscape for chronic kidney disease in primary care using national general practice level data
BMJ Open
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
url https://bmjopen.bmj.com/content/12/12/e064723.full
work_keys_str_mv AT markdavies associationsandmitigationsananalysisofthechangingriskfactorlandscapeforchronickidneydiseaseinprimarycareusingnationalgeneralpracticeleveldata
AT adrianheald associationsandmitigationsananalysisofthechangingriskfactorlandscapeforchronickidneydiseaseinprimarycareusingnationalgeneralpracticeleveldata
AT mikestedman associationsandmitigationsananalysisofthechangingriskfactorlandscapeforchronickidneydiseaseinprimarycareusingnationalgeneralpracticeleveldata
AT patrickharnett associationsandmitigationsananalysisofthechangingriskfactorlandscapeforchronickidneydiseaseinprimarycareusingnationalgeneralpracticeleveldata
AT adamrobinson associationsandmitigationsananalysisofthechangingriskfactorlandscapeforchronickidneydiseaseinprimarycareusingnationalgeneralpracticeleveldata