Risk Predictors and Symptom Features of Long COVID Within a Broad Primary Care Patient Population Including Both Tested and Untested Patients.

IF 2.3 Q2 MEDICINE, GENERAL & INTERNAL
Pragmatic and Observational Research Pub Date : 2021-08-11 eCollection Date: 2021-01-01 DOI:10.2147/POR.S316186
Rupert Jones, Andrew Davis, Brooklyn Stanley, Steven Julious, Dermot Ryan, David J Jackson, David M G Halpin, Katherine Hickman, Hilary Pinnock, Jennifer K Quint, Kamlesh Khunti, Liam G Heaney, Phillip Oliver, Salman Siddiqui, Ian Pavord, David H M Jones, Michael Hyland, Lewis Ritchie, Pam Young, Tony Megaw, Steve Davis, Samantha Walker, Stephen Holgate, Sue Beecroft, Anu Kemppinen, Francis Appiagyei, Emma-Jane Roberts, Megan Preston, Antony Hardjojo, Victoria Carter, Marije van Melle, David Price
{"title":"Risk Predictors and Symptom Features of Long COVID Within a Broad Primary Care Patient Population Including Both Tested and Untested Patients.","authors":"Rupert Jones, Andrew Davis, Brooklyn Stanley, Steven Julious, Dermot Ryan, David J Jackson, David M G Halpin, Katherine Hickman, Hilary Pinnock, Jennifer K Quint, Kamlesh Khunti, Liam G Heaney, Phillip Oliver, Salman Siddiqui, Ian Pavord, David H M Jones, Michael Hyland, Lewis Ritchie, Pam Young, Tony Megaw, Steve Davis, Samantha Walker, Stephen Holgate, Sue Beecroft, Anu Kemppinen, Francis Appiagyei, Emma-Jane Roberts, Megan Preston, Antony Hardjojo, Victoria Carter, Marije van Melle, David Price","doi":"10.2147/POR.S316186","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Symptoms may persist after the initial phases of COVID-19 infection, a phenomenon termed long COVID. Current knowledge on long COVID has been mostly derived from test-confirmed and hospitalized COVID-19 patients. Data are required on the burden and predictors of long COVID in a broader patient group, which includes both tested and untested COVID-19 patients in primary care.</p><p><strong>Methods: </strong>This is an observational study using data from Platform C19, a quality improvement program-derived research database linking primary care electronic health record data (EHR) with patient-reported questionnaire information. Participating general practices invited consenting patients aged 18-85 to complete an online questionnaire since 7th August 2020. COVID-19 self-diagnosis, clinician-diagnosis, testing, and the presence and duration of symptoms were assessed via the questionnaire. Patients were considered present with long COVID if they reported symptoms lasting ≥4 weeks. EHR and questionnaire data up till 22nd January 2021 were extracted for analysis. Multivariable regression analyses were conducted comparing demographics, clinical characteristics, and presence of symptoms between patients with long COVID and patients with shorter symptom duration.</p><p><strong>Results: </strong>Long COVID was present in 310/3151 (9.8%) patients with self-diagnosed, clinician-diagnosed, or test-confirmed COVID-19. Only 106/310 (34.2%) long COVID patients had test-confirmed COVID-19. Risk predictors of long COVID were age ≥40 years (adjusted Odds Ratio [AdjOR]=1.49 [1.05-2.17]), female sex (adjOR=1.37 [1.02-1.85]), frailty (adjOR=2.39 [1.29-4.27]), visit to A&E (adjOR=4.28 [2.31-7.78]), and hospital admission for COVID-19 symptoms (adjOR=3.22 [1.77-5.79]). Aches and pain (adjOR=1.70 [1.21-2.39]), appetite loss (adjOR=3.15 [1.78-5.92]), confusion and disorientation (adjOR=2.17 [1.57-2.99]), diarrhea (adjOR=1.4 [1.03-1.89]), and persistent dry cough (adjOR=2.77 [1.94-3.98]) were symptom features statistically more common in long COVID.</p><p><strong>Conclusion: </strong>This study reports the factors and symptom features predicting long COVID in a broad primary care population, including both test-confirmed and the previously missed group of COVID-19 patients.</p>","PeriodicalId":20399,"journal":{"name":"Pragmatic and Observational Research","volume":"12 ","pages":"93-104"},"PeriodicalIF":2.3000,"publicationDate":"2021-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/a1/c3/por-12-93.PMC8366779.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pragmatic and Observational Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2147/POR.S316186","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
引用次数: 0

Abstract

Introduction: Symptoms may persist after the initial phases of COVID-19 infection, a phenomenon termed long COVID. Current knowledge on long COVID has been mostly derived from test-confirmed and hospitalized COVID-19 patients. Data are required on the burden and predictors of long COVID in a broader patient group, which includes both tested and untested COVID-19 patients in primary care.

Methods: This is an observational study using data from Platform C19, a quality improvement program-derived research database linking primary care electronic health record data (EHR) with patient-reported questionnaire information. Participating general practices invited consenting patients aged 18-85 to complete an online questionnaire since 7th August 2020. COVID-19 self-diagnosis, clinician-diagnosis, testing, and the presence and duration of symptoms were assessed via the questionnaire. Patients were considered present with long COVID if they reported symptoms lasting ≥4 weeks. EHR and questionnaire data up till 22nd January 2021 were extracted for analysis. Multivariable regression analyses were conducted comparing demographics, clinical characteristics, and presence of symptoms between patients with long COVID and patients with shorter symptom duration.

Results: Long COVID was present in 310/3151 (9.8%) patients with self-diagnosed, clinician-diagnosed, or test-confirmed COVID-19. Only 106/310 (34.2%) long COVID patients had test-confirmed COVID-19. Risk predictors of long COVID were age ≥40 years (adjusted Odds Ratio [AdjOR]=1.49 [1.05-2.17]), female sex (adjOR=1.37 [1.02-1.85]), frailty (adjOR=2.39 [1.29-4.27]), visit to A&E (adjOR=4.28 [2.31-7.78]), and hospital admission for COVID-19 symptoms (adjOR=3.22 [1.77-5.79]). Aches and pain (adjOR=1.70 [1.21-2.39]), appetite loss (adjOR=3.15 [1.78-5.92]), confusion and disorientation (adjOR=2.17 [1.57-2.99]), diarrhea (adjOR=1.4 [1.03-1.89]), and persistent dry cough (adjOR=2.77 [1.94-3.98]) were symptom features statistically more common in long COVID.

Conclusion: This study reports the factors and symptom features predicting long COVID in a broad primary care population, including both test-confirmed and the previously missed group of COVID-19 patients.

Abstract Image

Abstract Image

在包括接受过检测和未接受过检测的患者在内的广泛初级保健患者群体中,长期 COVID 的风险预测因素和症状特征。
导言:感染 COVID-19 病毒的初期症状可能会持续存在,这种现象被称为长 COVID。目前有关长COVID的知识主要来自经检测确诊的COVID-19患者和住院患者。我们需要在更广泛的患者群体(包括初级保健中已检测和未检测的 COVID-19 患者)中获得有关长 COVID 负担和预测因素的数据:这是一项观察性研究,使用的数据来自 Platform C19,这是一个质量改进计划衍生的研究数据库,将初级医疗电子健康记录数据(EHR)与患者报告的问卷信息联系在一起。自 2020 年 8 月 7 日起,参与研究的全科诊所邀请年龄在 18-85 岁之间的同意患者填写在线问卷。通过问卷对 COVID-19 的自我诊断、临床医生诊断、检测以及症状的存在和持续时间进行评估。如果患者报告的症状持续时间≥4 周,则被视为存在长期 COVID。提取截至 2021 年 1 月 22 日的电子病历和问卷数据进行分析。对长COVID患者和症状持续时间较短的患者的人口统计学、临床特征和症状存在情况进行了多变量回归分析:310/3151(9.8%)名自我诊断、临床医生诊断或测试证实为COVID-19的患者存在长COVID。只有106/310(34.2%)例长COVID患者的COVID-19得到检测证实。长COVID的风险预测因素包括:年龄≥40岁(调整后比值比[AdjOR]=1.49 [1.05-2.17])、女性(adjOR=1.37 [1.02-1.85])、体弱(adjOR=2.39 [1.29-4.27])、急诊就诊(adjOR=4.28 [2.31-7.78])以及因COVID-19症状入院(adjOR=3.22 [1.77-5.79])。疼痛(adjOR=1.70 [1.21-2.39])、食欲不振(adjOR=3.15 [1.78-5.92])、意识模糊和定向障碍(adjOR=2.17 [1.57-2.99])、腹泻(adjOR=1.4 [1.03-1.89])和持续干咳(adjOR=2.77 [1.94-3.98])是长COVID统计中更常见的症状特征:本研究报告了在广泛的初级保健人群中预测长COVID的因素和症状特征,包括检测证实的COVID-19患者和之前漏诊的COVID-19患者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Pragmatic and Observational Research
Pragmatic and Observational Research MEDICINE, GENERAL & INTERNAL-
自引率
0.00%
发文量
11
期刊介绍: Pragmatic and Observational Research is an international, peer-reviewed, open-access journal that publishes data from studies designed to closely reflect medical interventions in real-world clinical practice, providing insights beyond classical randomized controlled trials (RCTs). While RCTs maximize internal validity for cause-and-effect relationships, they often represent only specific patient groups. This journal aims to complement such studies by providing data that better mirrors real-world patients and the usage of medicines, thus informing guidelines and enhancing the applicability of research findings across diverse patient populations encountered in everyday clinical practice.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信