Post-acute COVID-19 syndrome negatively impacts health and wellbeing despite less severe acute infection
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Abstract
Introduction
One of the noted features of COVID-19 is the spectrum of expressivity in symptoms among those with the disease, ranging from no or mild symptoms that may last a small number of days, to severe and/or longer lasting symptoms. It is emerging that many patients have long lasting symptoms, several months after initial infection with COVID-19. The aim of this research was to characterize post-acute COVID-19 syndrome (PACS).
Methods
This was a retrospective cross-sectional observational study. Participants were patients recovering from COVID-19 infection, enrolled in Mount Sinai Hospital’s COVID-19 Precision Recovery Program (PRP). Inclusion criteria were confirmed or probable (based on World Health Organization criteria) initial diagnosis of COVID-19; post-acute COVID-19 syndrome (defined as experiencing symptoms > 6 weeks since acute symptom onset) and being currently enrolled in the PRP during the months of July and August 2020. Study survey data were collected using REDCap. Demographic data, COVID-19 clinical data and patient-reported outcomes for breathlessness (Medical Research Council Breathlessness Scale), fatigue and quality of life (EuroQoL 5D-5L) were collected.
Results
84 individuals with PACS were included. Symptoms persisted at mean (range) 151 (54 to 255) days. The most prevalent persistent symptoms were fatigue (92%), loss of concentration/memory (74%), weakness (68%), headache (65%) and dizziness (64%). Most participants reported increased levels of disability associated with breathlessness, increased fatigue and reduced quality of life.
Conclusions
Persistent symptoms following COVID-19 infection are prevalent, debilitating and appear to affect individuals regardless of acute infection severity or prior health status. More detailed research is required in order to identify specific symptom clusters associated with PACS, and to devise effective interventional strategies.
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SciScore for 10.1101/2020.11.04.20226126: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement Consent: Inclusion criteria were confirmed or probable (i.e. confirmed by a medical doctor in accordance with World Health Organization recommendations [WHO] [10]) initial diagnosis of COVID-19; PACS (defined as experiencing symptoms > 6 weeks since initial symptom onset); and provision of consent for clinical data to be used for research purposes. Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable not detected. Table 2: Resources
Software and Algorithms Sentences Resources Data collection and Outcomes: Study data were collected and managed using REDCap (Research Electronic Data Capture) electronic data capture … SciScore for 10.1101/2020.11.04.20226126: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement Consent: Inclusion criteria were confirmed or probable (i.e. confirmed by a medical doctor in accordance with World Health Organization recommendations [WHO] [10]) initial diagnosis of COVID-19; PACS (defined as experiencing symptoms > 6 weeks since initial symptom onset); and provision of consent for clinical data to be used for research purposes. Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable not detected. Table 2: Resources
Software and Algorithms Sentences Resources Data collection and Outcomes: Study data were collected and managed using REDCap (Research Electronic Data Capture) electronic data capture tools hosted at Mount Sinai Health System REDCapsuggested: (REDCap, RRID:SCR_003445)Statistical analyses: Statistical analyses were undertaken with Stata (StataCorp, Stata Statistical Software Release: V.14). StataCorpsuggested: (Stata, RRID:SCR_012763)Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
- Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
- No protocol registration statement was detected.
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