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      Symptom cluster is associated with prolonged return-to-play in symptomatic athletes with acute respiratory illness (including COVID-19): a cross-sectional study—AWARE study I

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          Abstract

          Background

          There are no data relating symptoms of an acute respiratory illness (ARI) in general, and COVID-19 specifically, to return to play (RTP).

          Objective

          To determine if ARI symptoms are associated with more prolonged RTP, and if days to RTP and symptoms (number, type, duration and severity) differ in athletes with COVID-19 versus athletes with other ARI.

          Design

          Cross-sectional descriptive study.

          Setting

          Online survey.

          Participants

          Athletes with confirmed/suspected COVID-19 (ARI COV) (n=45) and athletes with other ARI (ARI OTH) (n=39).

          Methods

          Participants recorded days to RTP and completed an online survey detailing ARI symptoms (number, type, severity and duration) in three categories: ‘nose and throat’, ‘chest and neck’ and ‘whole body’. We report the association between symptoms and RTP (% chance over 40 days) and compare the days to RTP and symptoms (number, type, duration and severity) in ARI COV versus ARI OTH subgroups.

          Results

          The symptom cluster associated with more prolonged RTP (lower chance over 40 days; %) (univariate analysis) was ‘excessive fatigue’ (75%; p<0.0001), ‘ chills’ (65%; p=0.004), ‘ fever’ (64%; p=0.004), ‘ headache’ (56%; p=0.006), ‘altered/loss sense of smell’ (51%; p=0.009), ‘ Chest pain/pressure’ (48%; p=0.033), ‘ difficulty in breathing’ (48%; p=0.022) and ‘ loss of appetite’ (47%; p=0.022). ‘ Excessive fatigue’ remained associated with prolonged RTP (p=0.0002) in a multiple model. Compared with ARI OTH, the ARI COV subgroup had more severe disease (greater number, more severe symptoms) and more days to RTP (p=0.0043).

          Conclusion

          Symptom clusters may be used by sport and exercise physicians to assist decision making for RTP in athletes with ARI (including COVID-19).

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          Most cited references26

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          Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

          Research electronic data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of electronic data capture tools to support clinical and translational research. We present: (1) a brief description of the REDCap metadata-driven software toolset; (2) detail concerning the capture and use of study-related metadata from scientific research teams; (3) measures of impact for REDCap; (4) details concerning a consortium network of domestic and international institutions collaborating on the project; and (5) strengths and limitations of the REDCap system. REDCap is currently supporting 286 translational research projects in a growing collaborative network including 27 active partner institutions.
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            The REDCap consortium: Building an international community of software platform partners

            The Research Electronic Data Capture (REDCap) data management platform was developed in 2004 to address an institutional need at Vanderbilt University, then shared with a limited number of adopting sites beginning in 2006. Given bi-directional benefit in early sharing experiments, we created a broader consortium sharing and support model for any academic, non-profit, or government partner wishing to adopt the software. Our sharing framework and consortium-based support model have evolved over time along with the size of the consortium (currently more than 3200 REDCap partners across 128 countries). While the "REDCap Consortium" model represents only one example of how to build and disseminate a software platform, lessons learned from our approach may assist other research institutions seeking to build and disseminate innovative technologies.
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              • Record: found
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              • Article: not found

              Real-time tracking of self-reported symptoms to predict potential COVID-19

              A total of 2,618,862 participants reported their potential symptoms of COVID-19 on a smartphone-based app. Among the 18,401 who had undergone a SARS-CoV-2 test, the proportion of participants who reported loss of smell and taste was higher in those with a positive test result (4,668 of 7,178 individuals; 65.03%) than in those with a negative test result (2,436 of 11,223 participants; 21.71%) (odds ratio = 6.74; 95% confidence interval = 6.31–7.21). A model combining symptoms to predict probable infection was applied to the data from all app users who reported symptoms (805,753) and predicted that 140,312 (17.42%) participants are likely to have COVID-19.
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                Author and article information

                Journal
                Br J Sports Med
                Br J Sports Med
                bjsports
                bjsm
                British Journal of Sports Medicine
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                0306-3674
                1473-0480
                March 2021
                22 March 2021
                : bjsports-2020-103782
                Affiliations
                [1 ]departmentSport, Exercise Medicine and Lifestyle Institute (SEMLI) , University of Pretoria, Faculty of Health Sciences , Pretoria, Gauteng, South Africa
                [2 ]IOC Research Center of South Africa , Pretoria, Gauteng, South Africa
                [3 ]departmentSport, Exercise Medicine and Lifestyle Institute (SEMLI) and Division of Biokinetics and Sports Science , Faculty of Health Sciences, University of Pretoria , Pretoria, Gauteng, South Africa
                [4 ]departmentBiostatistics Unit , South African Medical Research Council (SAMRC) , Tygerberg, South Africa
                [5 ]departmentInstitute of Sport and Exercise Medicine, Division of Orthopaedic Surgery, Department of Surgical Sciences , Faculty of Medicine and Health Sciences, Stellenbosch University , Cape Town, South Africa
                [6 ]departmentDepartment of Respiratory Medicine , Royal Brompton and Harefield NHS Foundation Trust , London, UK
                [7 ]Research Center for Olympic Sports , Jyväskylä, Finland
                [8 ]departmentStatistics and Population Studies Department , University of the Western Cape , Cape Town, South Africa
                Author notes
                [Correspondence to ] Professor Martin Schwellnus, Sport, Exercise Medicine and Lifestyle Institute, University of Pretoria Faculty of Health Sciences, Pretoria 0020, Gauteng, South Africa; mschwell@ 123456iafrica.com
                Author information
                http://orcid.org/0000-0003-3647-0429
                http://orcid.org/0000-0003-1022-4780
                http://orcid.org/0000-0002-8879-177X
                http://orcid.org/0000-0003-4697-1526
                http://orcid.org/0000-0001-8883-2255
                Article
                bjsports-2020-103782
                10.1136/bjsports-2020-103782
                7985972
                33753345
                c24eca76-0ec8-43ad-9e33-97627afdbd1c
                © Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.

                This article is made freely available for use in accordance with BMJ’s website terms and conditions for the duration of the covid-19 pandemic or until otherwise determined by BMJ. You may use, download and print the article for any lawful, non-commercial purpose (including text and data mining) provided that all copyright notices and trade marks are retained.

                History
                : 11 March 2021
                Funding
                Funded by: IOC Research Centre (South Africa) (partial funding) South African Medical Research Council (partial funding, statistical analysis);
                Categories
                Original Research
                2474
                2314
                Custom metadata
                free

                Sports medicine
                sport,infection,covid-19
                Sports medicine
                sport, infection, covid-19

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