The association of socioeconomic status with incidence and outcomes of acute kidney injury
The association of socioeconomic status with incidence and outcomes of acute kidney injury
Background
Acute kidney injury (AKI) is common and associated with significant morbidity and mortality. Socioeconomic status may be negatively associated with AKI as some risk factors for AKI such as chronic kidney disease, diabetes and heart failure are socially distributed. This study explored the socioeconomic gradient of the incidence and mortality of AKI, after adjusting for important mediators such as comorbidities.
Methods
Linked primary care and laboratory data from two large acute hospitals in the south of England, sourced from the Care and Health Information Analytics database, was used to identify AKI cases over a one-year period (2017-2018) from a population of 580,940 adults. AKI was diagnosed from serum creatinine patterns using a Kidney Disease: Improving Global Outcomes (KDIGO)-based definition. Multivariable logistic regression and Cox proportional hazard models adjusting for age, sex, comorbidities and prescribed medication (in incidence analyses) and AKI severity (in mortality analyses), were used to assess the association of area deprivation (using Index of Multiple Deprivation for place of residence) with AKI risk and all-cause mortality over a median of 234 days (IQR: 119-356).
Results
Annual incidence rate of first AKI was 1,726 per 100,000 (1.7%). The risk of AKI was higher in the most deprived compared to the least deprived areas (adjusted OR: 1.79, 95% CI: 1.59-2.01 and 1.33, 95% CI: 1.03-1.72 for under and over 65 year olds, respectively) after controlling for age, sex, comorbidities, and prescribed medication. Adjusted risk of mortality post first AKI was higher in the most deprived areas (adjusted hazard ratio 1.20, 95% CI: 1.07-1.36).
Conclusions
Social deprivation was associated with higher incidence of AKI and poorer survival even after adjusting for the higher presence of comorbidities. Such social inequity should be considered when devising strategies to prevent AKI and improve care for AKI patients.
1-8
Hounkpatin, Hilda
5612e5b4-6286-48c8-b81f-e96d1148681d
Fraser, Simon
135884b6-8737-4e8a-a98c-5d803ac7a2dc
Johnson, Matthew James
d272ca76-f017-4457-96f5-daf6a7af6adf
Harris, Scott
19ea097b-df15-4f0f-be19-8ac42c190028
Uniacke, Mark
97710d53-5941-41c9-8ade-c973ecc63905
Roderick, Paul
dbb3cd11-4c51-4844-982b-0eb30ad5085a
Hounkpatin, Hilda
5612e5b4-6286-48c8-b81f-e96d1148681d
Fraser, Simon
135884b6-8737-4e8a-a98c-5d803ac7a2dc
Johnson, Matthew James
d272ca76-f017-4457-96f5-daf6a7af6adf
Harris, Scott
19ea097b-df15-4f0f-be19-8ac42c190028
Uniacke, Mark
97710d53-5941-41c9-8ade-c973ecc63905
Roderick, Paul
dbb3cd11-4c51-4844-982b-0eb30ad5085a
Hounkpatin, Hilda, Fraser, Simon, Johnson, Matthew James, Harris, Scott, Uniacke, Mark and Roderick, Paul
(2019)
The association of socioeconomic status with incidence and outcomes of acute kidney injury.
Clinical Kidney Journal, .
(doi:10.1093/ckj/sfz113).
Abstract
Background
Acute kidney injury (AKI) is common and associated with significant morbidity and mortality. Socioeconomic status may be negatively associated with AKI as some risk factors for AKI such as chronic kidney disease, diabetes and heart failure are socially distributed. This study explored the socioeconomic gradient of the incidence and mortality of AKI, after adjusting for important mediators such as comorbidities.
Methods
Linked primary care and laboratory data from two large acute hospitals in the south of England, sourced from the Care and Health Information Analytics database, was used to identify AKI cases over a one-year period (2017-2018) from a population of 580,940 adults. AKI was diagnosed from serum creatinine patterns using a Kidney Disease: Improving Global Outcomes (KDIGO)-based definition. Multivariable logistic regression and Cox proportional hazard models adjusting for age, sex, comorbidities and prescribed medication (in incidence analyses) and AKI severity (in mortality analyses), were used to assess the association of area deprivation (using Index of Multiple Deprivation for place of residence) with AKI risk and all-cause mortality over a median of 234 days (IQR: 119-356).
Results
Annual incidence rate of first AKI was 1,726 per 100,000 (1.7%). The risk of AKI was higher in the most deprived compared to the least deprived areas (adjusted OR: 1.79, 95% CI: 1.59-2.01 and 1.33, 95% CI: 1.03-1.72 for under and over 65 year olds, respectively) after controlling for age, sex, comorbidities, and prescribed medication. Adjusted risk of mortality post first AKI was higher in the most deprived areas (adjusted hazard ratio 1.20, 95% CI: 1.07-1.36).
Conclusions
Social deprivation was associated with higher incidence of AKI and poorer survival even after adjusting for the higher presence of comorbidities. Such social inequity should be considered when devising strategies to prevent AKI and improve care for AKI patients.
Text
sfz113
- Version of Record
More information
Accepted/In Press date: 2 August 2019
e-pub ahead of print date: 31 August 2019
Identifiers
Local EPrints ID: 433899
URI: http://eprints.soton.ac.uk/id/eprint/433899
ISSN: 2048-8513
PURE UUID: c5a8aa37-a25c-4fdd-8f64-9ce01678a56c
Catalogue record
Date deposited: 05 Sep 2019 16:30
Last modified: 17 Mar 2024 02:41
Export record
Altmetrics
Contributors
Author:
Matthew James Johnson
Author:
Mark Uniacke
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics