Cargando…

Scottish Index of Multiple Deprivation (SIMD) indicators as predictors of mortality among patients hospitalised with COVID-19 disease in the Lothian Region, Scotland during the first wave: a cohort study

BACKGROUND: Sars-CoV-2, the causative agent of COVID-19, has led to more than 226,000 deaths in the UK and multiple risk factors for mortality including age, sex and deprivation have been identified. This study aimed to identify which individual indicators of the Scottish Index of Multiple Deprivati...

Descripción completa

Detalles Bibliográficos
Autores principales: Scopazzini, Marcello S., Cave, Roo Nicola Rose, Mutch, Callum P., Ross, Daniella A., Bularga, Anda, Chase-Topping, Margo, Woolhouse, Mark, Koch, Oliver, Perry, Meghan R., Mackintosh, Claire L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10552319/
https://www.ncbi.nlm.nih.gov/pubmed/37794428
http://dx.doi.org/10.1186/s12939-023-02017-y
_version_ 1785115936635748352
author Scopazzini, Marcello S.
Cave, Roo Nicola Rose
Mutch, Callum P.
Ross, Daniella A.
Bularga, Anda
Chase-Topping, Margo
Woolhouse, Mark
Koch, Oliver
Perry, Meghan R.
Mackintosh, Claire L.
author_facet Scopazzini, Marcello S.
Cave, Roo Nicola Rose
Mutch, Callum P.
Ross, Daniella A.
Bularga, Anda
Chase-Topping, Margo
Woolhouse, Mark
Koch, Oliver
Perry, Meghan R.
Mackintosh, Claire L.
author_sort Scopazzini, Marcello S.
collection PubMed
description BACKGROUND: Sars-CoV-2, the causative agent of COVID-19, has led to more than 226,000 deaths in the UK and multiple risk factors for mortality including age, sex and deprivation have been identified. This study aimed to identify which individual indicators of the Scottish Index of Multiple Deprivation (SIMD), an area-based deprivation index, were predictive of mortality. METHODS: This was a prospective cohort study of anonymised electronic health records of 710 consecutive patients hospitalised with Covid-19 disease between March and June 2020 in the Lothian Region of Southeast Scotland. Data sources included automatically extracted data from national electronic platforms and manually extracted data from individual admission records. Exposure variables of interest were SIMD quintiles and 12 indicators of deprivation deemed clinically relevant selected from the SIMD. Our primary outcome was mortality. Age and sex adjusted univariable and multivariable analyses were used to determine measures of association between exposures of interest and the primary outcome. RESULTS: After adjusting for age and sex, we found an increased risk of mortality in the more deprived SIMD quintiles 1 and 3 (OR 1.75, CI 0.99–3.08, p = 0.053 and OR 2.17, CI 1.22–3.86, p = 0.009, respectively), but this association was not upheld in our multivariable model containing age, sex, Performance Status and clinical parameters of severity at admission. Of the 12 pre-selected indicators of deprivation, two were associated with greater mortality in our multivariable analysis: income deprivation rate categorised by quartile (Q4 (most deprived): 2.11 (1.20–3.77) p = 0.011)) and greater than expected hospitalisations due to alcohol per SIMD data zone (1.96 (1.28–3.00) p = 0.002)). CONCLUSIONS: SIMD as an aggregate measure of deprivation was not predictive of mortality in our cohort when other exposure measures were accounted for. However, we identified a two-fold increased risk of mortality in patients residing in areas with greater income-deprivation and/or number of hospitalisations due to alcohol. In areas where aggregate measures fail to capture pockets of deprivation, exploring the impact of specific SIMD indicators may be helpful in targeting resources to residents at risk of poorer outcomes from Covid-19. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12939-023-02017-y.
format Online
Article
Text
id pubmed-10552319
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-105523192023-10-06 Scottish Index of Multiple Deprivation (SIMD) indicators as predictors of mortality among patients hospitalised with COVID-19 disease in the Lothian Region, Scotland during the first wave: a cohort study Scopazzini, Marcello S. Cave, Roo Nicola Rose Mutch, Callum P. Ross, Daniella A. Bularga, Anda Chase-Topping, Margo Woolhouse, Mark Koch, Oliver Perry, Meghan R. Mackintosh, Claire L. Int J Equity Health Research BACKGROUND: Sars-CoV-2, the causative agent of COVID-19, has led to more than 226,000 deaths in the UK and multiple risk factors for mortality including age, sex and deprivation have been identified. This study aimed to identify which individual indicators of the Scottish Index of Multiple Deprivation (SIMD), an area-based deprivation index, were predictive of mortality. METHODS: This was a prospective cohort study of anonymised electronic health records of 710 consecutive patients hospitalised with Covid-19 disease between March and June 2020 in the Lothian Region of Southeast Scotland. Data sources included automatically extracted data from national electronic platforms and manually extracted data from individual admission records. Exposure variables of interest were SIMD quintiles and 12 indicators of deprivation deemed clinically relevant selected from the SIMD. Our primary outcome was mortality. Age and sex adjusted univariable and multivariable analyses were used to determine measures of association between exposures of interest and the primary outcome. RESULTS: After adjusting for age and sex, we found an increased risk of mortality in the more deprived SIMD quintiles 1 and 3 (OR 1.75, CI 0.99–3.08, p = 0.053 and OR 2.17, CI 1.22–3.86, p = 0.009, respectively), but this association was not upheld in our multivariable model containing age, sex, Performance Status and clinical parameters of severity at admission. Of the 12 pre-selected indicators of deprivation, two were associated with greater mortality in our multivariable analysis: income deprivation rate categorised by quartile (Q4 (most deprived): 2.11 (1.20–3.77) p = 0.011)) and greater than expected hospitalisations due to alcohol per SIMD data zone (1.96 (1.28–3.00) p = 0.002)). CONCLUSIONS: SIMD as an aggregate measure of deprivation was not predictive of mortality in our cohort when other exposure measures were accounted for. However, we identified a two-fold increased risk of mortality in patients residing in areas with greater income-deprivation and/or number of hospitalisations due to alcohol. In areas where aggregate measures fail to capture pockets of deprivation, exploring the impact of specific SIMD indicators may be helpful in targeting resources to residents at risk of poorer outcomes from Covid-19. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12939-023-02017-y. BioMed Central 2023-10-05 /pmc/articles/PMC10552319/ /pubmed/37794428 http://dx.doi.org/10.1186/s12939-023-02017-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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
Scopazzini, Marcello S.
Cave, Roo Nicola Rose
Mutch, Callum P.
Ross, Daniella A.
Bularga, Anda
Chase-Topping, Margo
Woolhouse, Mark
Koch, Oliver
Perry, Meghan R.
Mackintosh, Claire L.
Scottish Index of Multiple Deprivation (SIMD) indicators as predictors of mortality among patients hospitalised with COVID-19 disease in the Lothian Region, Scotland during the first wave: a cohort study
title Scottish Index of Multiple Deprivation (SIMD) indicators as predictors of mortality among patients hospitalised with COVID-19 disease in the Lothian Region, Scotland during the first wave: a cohort study
title_full Scottish Index of Multiple Deprivation (SIMD) indicators as predictors of mortality among patients hospitalised with COVID-19 disease in the Lothian Region, Scotland during the first wave: a cohort study
title_fullStr Scottish Index of Multiple Deprivation (SIMD) indicators as predictors of mortality among patients hospitalised with COVID-19 disease in the Lothian Region, Scotland during the first wave: a cohort study
title_full_unstemmed Scottish Index of Multiple Deprivation (SIMD) indicators as predictors of mortality among patients hospitalised with COVID-19 disease in the Lothian Region, Scotland during the first wave: a cohort study
title_short Scottish Index of Multiple Deprivation (SIMD) indicators as predictors of mortality among patients hospitalised with COVID-19 disease in the Lothian Region, Scotland during the first wave: a cohort study
title_sort scottish index of multiple deprivation (simd) indicators as predictors of mortality among patients hospitalised with covid-19 disease in the lothian region, scotland during the first wave: a cohort study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10552319/
https://www.ncbi.nlm.nih.gov/pubmed/37794428
http://dx.doi.org/10.1186/s12939-023-02017-y
work_keys_str_mv AT scopazzinimarcellos scottishindexofmultipledeprivationsimdindicatorsaspredictorsofmortalityamongpatientshospitalisedwithcovid19diseaseinthelothianregionscotlandduringthefirstwaveacohortstudy
AT caveroonicolarose scottishindexofmultipledeprivationsimdindicatorsaspredictorsofmortalityamongpatientshospitalisedwithcovid19diseaseinthelothianregionscotlandduringthefirstwaveacohortstudy
AT mutchcallump scottishindexofmultipledeprivationsimdindicatorsaspredictorsofmortalityamongpatientshospitalisedwithcovid19diseaseinthelothianregionscotlandduringthefirstwaveacohortstudy
AT rossdaniellaa scottishindexofmultipledeprivationsimdindicatorsaspredictorsofmortalityamongpatientshospitalisedwithcovid19diseaseinthelothianregionscotlandduringthefirstwaveacohortstudy
AT bulargaanda scottishindexofmultipledeprivationsimdindicatorsaspredictorsofmortalityamongpatientshospitalisedwithcovid19diseaseinthelothianregionscotlandduringthefirstwaveacohortstudy
AT chasetoppingmargo scottishindexofmultipledeprivationsimdindicatorsaspredictorsofmortalityamongpatientshospitalisedwithcovid19diseaseinthelothianregionscotlandduringthefirstwaveacohortstudy
AT woolhousemark scottishindexofmultipledeprivationsimdindicatorsaspredictorsofmortalityamongpatientshospitalisedwithcovid19diseaseinthelothianregionscotlandduringthefirstwaveacohortstudy
AT kocholiver scottishindexofmultipledeprivationsimdindicatorsaspredictorsofmortalityamongpatientshospitalisedwithcovid19diseaseinthelothianregionscotlandduringthefirstwaveacohortstudy
AT scottishindexofmultipledeprivationsimdindicatorsaspredictorsofmortalityamongpatientshospitalisedwithcovid19diseaseinthelothianregionscotlandduringthefirstwaveacohortstudy
AT perrymeghanr scottishindexofmultipledeprivationsimdindicatorsaspredictorsofmortalityamongpatientshospitalisedwithcovid19diseaseinthelothianregionscotlandduringthefirstwaveacohortstudy
AT mackintoshclairel scottishindexofmultipledeprivationsimdindicatorsaspredictorsofmortalityamongpatientshospitalisedwithcovid19diseaseinthelothianregionscotlandduringthefirstwaveacohortstudy