A comparative analysis of serial measurements of Soluble Urokinase-type Plasminogen Activator Receptor (suPAR) and C-reactive protein in patients with moderate COVID-19: a single center study from India

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Abstract

Soluble urokinase plasminogen-activator receptor (suPAR) is a secreted protein associated with inflammation and proven its usefulness in triage/risk stratifications. This prospective study aimed to evaluate the utility of suPAR in comparison to C-reactive protein (CRP) in hospitalized moderate COVID-19 patients.

This is a prospective comparative study during second pandemic wave. Serum suPAR level and CRP were measured serially in 31 confirmed COVID-19 hospitalized patients (20 males, 11 females) on day-1 (24-hours of admission), day-3 and day-5 using suPARnostic AUTO flex ELISA and Nephelometry (ThermoFischer) respectively. Schapiro Wilk test verified the data distribution; Wilcoxon signed rank test compared CRP and suPAR between deceased/alive subject and identified link between co-morbidity and COVID-19 severity.

In our study, the mean age was 61.8 ranging from 28-82 with 9.7% (n=3/31) mortality rate. Deceased patients showed significant higher suPAR levels correlating with increasing severity from day 1 to 5 (p<0.016-0.006) than CRP (p=0.717). Patients with pre-existing co-morbidities showed significantly elevated suPAR levels on days 1-5, especially those with hypertension (HTN;p<0.03) and chronic kidney disease (CKD;p<0.001).

In conclusion, levels of suPAR were higher in deceased patients with severe symptoms of COVID-19 during hospitalization and in patients with pre-existing co-morbid conditions, HTN and CKD. This preliminary study provides evidence suggesting that circulating suPAR can be a potential biomarker to assess the severity of COVID 19 compared to CRP.

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  1. SciScore for 10.1101/2022.03.30.22273026: (What is this?)

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

    Table 1: Rigor

    EthicsIACUC: The study was reviewed and approved by Institutional Ethical Committee (# EC/08/20/1711) 2.2 Assay protocol: Blood samples were collected on three time points i.e., day-1 of admission, day-3 and day-5 or on the day of discharge if discharged before 5 days.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    2.3 Statistical analysis: Statistical analysis was performed using the SPSS version 17.0 program for windows (SPSS Inc., Chicago, IL, USA).
    SPSS
    suggested: (SPSS, RRID:SCR_002865)

    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: We detected the following sentences addressing limitations in the study:
    Another technical limitation was that the ELISA kit used in the study though can detect antibodies against human uPAR1 isoform (full length and DIIDIII fragment), most of the alternate isoforms of human uPAR can go undetected. Different isoforms of suPAR may be induced by the diverse variants of SARS-CoV-2. Therefore, we intend further studying the presence of different uPAR isoforms, which will be able to shed important insights in COVID-19 pathogenesis.

    Results from TrialIdentifier: We found the following clinical trial numbers in your paper:

    IdentifierStatusTitle
    NCT04590794CompletedSuPAR in Adult Patients With Covid-19


    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.