Clinical characteristics and outcomes of adult patients admitted with COVID-19 in East London: a retrospective cohort analysis

Author:

Cheng DarylORCID,Calderwood Claire,Skyllberg Erik,Ainley Adam

Abstract

BackgroundDescriptions of clinical characteristics of patients hospitalised withCOVID-19, their clinical course and short-term inpatient and outpatient outcomes in deprived urban populations in the UK are still relatively sparse. We describe the epidemiology, clinical course, experience of non-invasive ventilation and intensive care, mortality and short-term sequelae of patients admitted to two large District General Hospitals across a large East London National Health Service Trust during the first wave of the pandemic.MethodsA retrospective analysis was carried out on a cohort of 1946 patients with a clinical or laboratory diagnosis of COVID-19, including descriptive statistics and survival analysis. A more detailed analysis was undertaken of a subset of patients admitted across three respiratory units in the trust.ResultsIncreasing age, male sex and Asian ethnicity were associated with worse outcomes. Increasing severity of chest X-ray abnormalities trended with mortality. Radiological changes persisted in over 50% of cases at early follow-up (6 weeks). Ongoing symptoms including hair loss, memory impairment, breathlessness, cough and fatigue were reported in 70% of survivors, with 39% of patients unable to return to work due to ongoing symptoms.ConclusionsUnderstanding the acute clinical features, course of illness and outcomes of COVID-19 will be crucial in understanding the effect of differences in risk, as well as the effectiveness of new interventions and vaccination between the successive waves of the pandemic.

Publisher

BMJ

Subject

Pulmonary and Respiratory Medicine

Reference33 articles.

1. Worldometer . Coronavirus cases.

2. European Centre for Disease Prevention and Control . COVID-19 situation update worldwide, 2020. Available: https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases [Accessed 14 Aug 2020].

3. Office for National Statistics . Deaths involving COVID-19 by local area and socioeconomic deprivation, 2020. Available: https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/bulletins/deathsinvolvingcovid19bylocalareasanddeprivation/deathsoccurringbetween1marchand17april [Accessed 19 May 2020].

4. Office for National Statistics . Ethnicity and National Identity in England and Wales. Available: https://www.ons.gov.uk/peoplepopulationandcommunity/culturalidentity/ethnicity/articles/ethnicityandnationalidentityinenglandandwales/2012-12-11#ethnicity-in-england-and-wales [Accessed 13 Jul 2020].

5. London Datastore . Coronavirus (COVID-19) cases. Available: https://data.london.gov.uk/dataset/coronavirus--covid-19--cases [Accessed 13 Jul 2020].

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3