Elucidating Post-COVID-19 manifestations in India

  1. Ghizal Fatima
  2. Divyansh Bhatt
  3. Jaserah Idrees
  4. Bushra Khalid
  5. Farzana Mahdi

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Abstract

Background

In India, a large number of patients with coronavirus disease-2019 (COVID-19), presented with common symptoms including fever, dyspnea, cough, musculoskeletal symptoms (fatigue, myalgia, joint pain) and gastrointestinal symptoms. However, information is lacking on symptoms that persist after recovery from COVID-19. In this study we assessed symptoms that persisted in patients even after their recovery and discharged from the hospital after one month from COVID-19.

Methods

This study is an observational cohort study. Participants in this study were enrolled between 30 to 40 days after recovery from COVID-19 of ≥18 years of age, who were hospitalized with laboratory-confirmed RT-PCR COVID-19 disease. Outcomes from post COVID-19 participants were elicited through questionnaire that consisted of three main parts beginning from subject’s demographical data, depicting about the status of COVID-19 and other co-morbidities of the subject, and about post-COVID-19 symptoms and manifestations.

Results

All subjects have reported some manifestation after recovery from COVID-19 whereas numerous symptoms and diseases were experienced by a great percentage of participants. Fatigue (56.25%), dyspnea (74.3%) and disturbed sleep (64.3%) were among the most common symptoms. However, more critical manifestations like renal failure and pulmonary fibrosis were reported by only a few percent of the subjects. Rating of worse physical and mental health after post-COVID recovery was also reported by subjects. There was a strong relationship found in between the presence of other co-morbidities before infection like diabetes, hypertension and in disease severity after infection. A total of 280 patients were enrolled and 160 completed the survey.

Conclusions

Post COVID-19 sufferers often experience symptoms that cause a disturbance in their physical health, mental health and their respiratory status for several weeks even after recovery from COVID-19. Therefore, all subjects after recovering from COVID-19 should undergo long-term monitoring programme for their symptoms and condition improvement.

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  1. ScreenIT

    SciScore for 10.1101/2021.07.06.21260115: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    EthicsConsent: This was determined by consent for this study through telephonic conversation.
    IRB: Study protocol was approved by institutional ethical committee of Era’s Lucknow Medical College and Hospital.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    No key resources detected.

    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.

    Results from scite Reference Check: We found no unreliable references.

    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

  2. Version published to 10.1101/2021.07.06.21260115v1 on medRxiv