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dc.contributor.authorAgrawal, Utkarsh
dc.contributor.authorAzcoaga-Lorenzo, Amaya
dc.contributor.authorFagbamigbe, Adeniyi
dc.contributor.authorVasileiou, Eleftheria
dc.contributor.authorHenery, Paul
dc.contributor.authorSimpson, Colin
dc.contributor.authorStock, Sarah
dc.contributor.authorShah, Syed
dc.contributor.authorRobertson, Chris
dc.contributor.authorWoolhouse, Mark
dc.contributor.authorRitchie, Lewis
dc.contributor.authorSheikh, Aziz
dc.contributor.authorHarrison, Ewen
dc.contributor.authorDocherty, Annemarie
dc.contributor.authorMcCowan, Colin
dc.identifier.citationAgrawal , U , Azcoaga-Lorenzo , A , Fagbamigbe , A , Vasileiou , E , Henery , P , Simpson , C , Stock , S , Shah , S , Robertson , C , Woolhouse , M , Ritchie , L , Sheikh , A , Harrison , E , Docherty , A & McCowan , C 2022 , ' Association between multimorbidity and mortality in a cohort of patients admitted to hospital with COVID-19 in Scotland ' , Journal of the Royal Society of Medicine , vol. 115 , no. 1 , pp. 22-30 .
dc.identifier.otherORCID: /0000-0002-9466-833X/work/102330662
dc.identifier.otherORCID: /0000-0003-3307-878X/work/102330736
dc.descriptionFunding: BREATHE - The Health Data Research Hub for Respiratory Health, which is funded through the UK Research and Innovation Industrial Strategy Challenge Fund and delivered through Health Data Research UK (MC_PC_19004); CSO Rapid Research in Covid-19 Programme (COV/SAN/20/06); HDR UK Measuring and Understanding Multi-morbidity using Routine Data in the UK (MurMuRUK) (HDR-9006-9006; CFC0110); Medical Research Council (MR/R008345/1).en
dc.description.abstractObjectives We investigated the association between multimorbidity among patients hospitalised with COVID-19 and their subsequent risk of mortality. We also explored the interaction between the presence of multimorbidity and the requirement for an individual to shield due to the presence of specific conditions and its association with mortality. Design We created a cohort of patients hospitalised in Scotland due to COVID-19 during the first wave (between 28 February 2020 and 22 September 2020) of the pandemic. We identified the level of multimorbidity for the patient on admission and used logistic regression to analyse the association between multimorbidity and risk of mortality among patients hospitalised with COVID-19. Setting Scotland, UK. Participants Patients hospitalised due to COVID-19. Main outcome measures Mortality as recorded on National Records of Scotland death certificate and being coded for COVID-19 on the death certificate or death within 28 days of a positive COVID-19 test. Results Almost 58% of patients admitted to the hospital due to COVID-19 had multimorbidity. Adjusting for confounding factors of age, sex, social class and presence in the shielding group, multimorbidity was significantly associated with mortality (adjusted odds ratio 1.48, 95%CI 1.26–1.75). The presence of multimorbidity and presence in the shielding patients list were independently associated with mortality but there was no multiplicative effect of having both (adjusted odds ratio 0.91, 95%CI 0.64–1.29). Conclusions Multimorbidity is an independent risk factor of mortality among individuals who were hospitalised due to COVID-19. Individuals with multimorbidity could be prioritised when making preventive policies, for example, by expanding shielding advice to this group and prioritising them for vaccination.
dc.relation.ispartofJournal of the Royal Society of Medicineen
dc.subjectHospital admissionsen
dc.subjectRA0421 Public health. Hygiene. Preventive Medicineen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.titleAssociation between multimorbidity and mortality in a cohort of patients admitted to hospital with COVID-19 in Scotlanden
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. School of Medicineen
dc.contributor.institutionUniversity of St Andrews. Population and Behavioural Science Divisionen
dc.contributor.institutionUniversity of St Andrews. Sir James Mackenzie Institute for Early Diagnosisen
dc.description.statusPeer revieweden

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