Estimating excess visual loss in people with neovascular age-related macular degeneration during the COVID-19 pandemic

Author:

Thomas Darren S.,Warwick Alasdair N,Olvera-Barrios Abraham,Egan Catherine,Schwartz Roy,Patra Sudeshna,Eleftheriadis Haralabos,Khawaja Anthony P.,Lotery Andrew,Müeller Philipp L.,Hamilton Robin,Preston Ella,Taylor Paul,Tufail Adnan,

Abstract

ABSTRACTObjectivesTo report the reduction in new neovascular age-related macular degeneration (nAMD) referrals during the COVID-19 pandemic and estimate the impact of delayed treatment on visual outcomes at one year.DesignRetrospective clinical audit and simulation model.SettingMultiple UK NHS ophthalmology centres.ParticipantsData on the reduction in new nAMD referrals was obtained from four NHS Trusts in England comparing April 2020 to April 2019. To estimate the potential impact on one-year visual outcomes, a stratified bootstrap simulation model was developed drawing on an electronic medical records dataset of 20,825 nAMD eyes from 27 NHS Trusts.Main outcome measuresSimulated mean visual acuity and proportions of eyes with vision ≤6/60, ≤6/24 and ≥6/12 at one year under four hypothetical scenarios: no treatment delay, 3, 6 and 9-month treatment delays. Estimated additional number of eyes with vision ≤6/60 at one year nationally.ResultsThe number of nAMD referrals at four major eye treatment hospital groups based in England dropped on average by 72% (range 65 to 87%) in April 2020 compared to April 2019. Simulated one-year visual outcomes for 1000 nAMD eyes with a 3-month treatment delay suggested an increase in the proportion of eyes with vision ≤6/60 from 15.5% (13.2 to 17.9) to 23.3% (20.7 to25.9), and a decrease in the proportion of eyes with vision ≥6/12 (driving vision) from 35.1% (32.1 to 38.1) to 26.4% (23.8 to29.2). Outcomes worsened incrementally with longer modelled delays. Assuming nAMD referrals are reduced to this level at the national level for only one month, these simulated results suggest an additional 186-365 eyes with vision ≤6/60 at one-year with even a short treatment delay.ConclusionsWe report a large decrease in nAMD referrals during the first month of COVID-19 lockdown and provide an important public health message regarding the risk of delayed treatment. As a conservative estimate, a treatment delay of 3 months could lead to a >50% relative increase in the number of eyes with vision ≤6/60 and 25% relative decrease in the number of eyes with driving vision at one year.

Publisher

Cold Spring Harbor Laboratory

Reference19 articles.

1. West D . Some hospitals left “quiet” as covid-19 sparks huge fall in attendances [Internet]. Health Service Journal. 2020 [cited 2020 May 19]. Available from: https://www.hsj.co.uk/acute-care/some-hospitals-left-quiet-as-covid-19-sparks-huge-fall-in-attendances/7027244.article

2. Lai A , Pasea L , Banerjee A , Denaxas S , Katsoulis M , Chang WH , et al. Estimating excess mortality in people with cancer and multimorbidity in the COVID-19 emergency. 2020.

3. NHS Digital. Hospital Outpatient Activity 2018-19 [Internet]. NHS Digital; 2019. Available from: https://files.digital.nhs.uk/33/EF9007/hosp-epis-stat-outp-summ-rep-2018-19-rep.pdf

4. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study

5. European Centre for Disease Prevention and Control. Rapid Risk Assessment: Coronavirus disease 2019 (COVID-19) in the EU/EEA and the UK - eighth update [Internet]. European Centre for Disease Prevention and Control; 2020 Apr. Available from: https://www.ecdc.europa.eu/sites/default/files/documents/covid-19-rapid-risk-assessment-coronavirus-disease-2019-eighth-update-8-april-2020.pdf

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