THE EFFECT OF BARICITINIB USAGE ON THE CLINICAL AND BIOCHEMICAL PROFILES OF COVID-19 PATIENTS- A RETROSPECTIVE OBSERVATIONAL STUDY

  1. Anoop Amarnath
  2. Ananya Das
  3. Venakata Sai Shashank Mutya
  4. Irfan Ibrahim

Reviewed by

Read the full article

Listed in

Log in to save this article

Abstract

Introduction

Coronaviruses typically cause influenza like illness which progresses to ARDS along with other systemic manifestations. India is experiencing its second wave with a huge surge in the number of cases exponentially causing huge impact on health care infrastructure and the demand supply chain. As a result several new modalities have been used, one of which is the use of remdesivir and baricitinib . Hence this study is aimed at finding out the clinical and biochemical profile of the patients who have received the combination

Materials and Methods

All the patients who have received the combination meeting the inclusion and exclusion criteria have been included in the study. A total of 31 participants were included and their records were retrospectively analyzed.

Results

There was a significant reduction in the oxygen requirement, CRP and IL-6 levels with p values<0.05. However, in the non-survivors group, there was no statistically significant reduction. Serial monitoring of NLR ratio showed increase towards the fifth day, especially in the non-survivor group it was as high as 41.24. The mortality rate was found to be 10% and the cause being secondary sepsis in all of them.

Conclusion

The ACTT-2 trail has proved the efficacy of the use of the remdesivir and baricitinib combination with mortality benefit. In our study we found similar results which was well co-related with clinical and biochemical parameters like CRP and IL-6 especially in people with co-morbidites.

Article activity feed

  1. ScreenIT

    SciScore for 10.1101/2021.08.11.21261760: (What is this?)

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

    Table 1: Rigor

    Ethicsnot detected.
    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 10.1101/2021.08.11.21261760v1 on medRxiv
  3. Version published to 10.1101/2021.08.11.21261760v2 on medRxiv