Hostname: page-component-78c5997874-lj6df Total loading time: 0 Render date: 2024-11-11T05:44:37.069Z Has data issue: false hasContentIssue false

COVID-19 infection, hospitalisation and mortality rates in people with severe mental illness: findings from two UK cohort studies

Published online by Cambridge University Press:  01 September 2022

L. Hassan*
Affiliation:
University of Manchester, Division Of Psychology & Mental Health, Manchester, United Kingdom
J. Firth
Affiliation:
University of Manchester, Division Of Psychology & Mental Health, Manchester, United Kingdom
*
*Corresponding author.

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Introduction

Recent systematic reviews have highlighted that people with Severe Mental Illness (SMI) have higher risks of infection, hospitalisation and death from COVID-19, although the full extent of these disparities are not yet established.

Objectives

Utilising electronic health records, we investigated COVID-19 related infection, hospitalisation and mortality among people with schizophrenia/psychosis, bipolar disorder (BD) and/or major depressive disorder (MDD) in two large UK samples: the UK Biobank (UKB) cohort study and GP-registered patients in Greater Manchester (GM).

Methods

We sampled 447,296 adults with and without SMI from UKB (inc. schizophrenia/psychosis=1,925, BD=1,483 and MDD=41,448, non-SMI=402,440) and 1,152,831 adults from GM (inc. schizophrenia/psychosis =46,859, BD=3,461, recurrent MDD=134,661, non-SMI = 922,264). Primary care, hospital and death records were linked to identify COVID-19 related outcomes. Logistic regression models were used to estimate unadjusted and adjusted Odds Ratios (ORs) to compare differences in COVID-19 outcomes by diagnosis, controlling for sociodemographic factors and comorbidities.

Results

We will report the findings of unadjusted and adjusted analyses, comparing ORs for people with and without SMI, by diagnosis. Findings will be compared between the two datasets, with attention to the demographic and clinical profiles of each sample. We will consider the role of demographic characteristics and comorbidities in attenuating outcomes.

Conclusions

Emerging evidence suggests that people with SMI have higher risks of COVID-19 infection, hospitalisation and mortality. Based on two large datasets utilising EHRs, we present findings from the UK on COVID-19 outcomes among people with SMI, a country that has been severely affected by COVID-19.

Disclosure

No significant relationships.

Type
Abstract
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of the European Psychiatric Association
Submit a response

Comments

No Comments have been published for this article.