Phosphate levels and pulmonary damage in COVID-19 patients based on CO-RADS scheme: is there any link between parathyroid gland and COVID-19?

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Abstract

Background

Preliminary studies of COVID-19 have provided some evidence that electrolyte disturbances may also be present in patients. In this study we aimed to evaluate the role of the arrival electrolytes and symptoms in prediction of Lung damage in CT scan based on the CO-RADS system.

Methods

This was a retrospective cross-sectional analytical study. We included patients with laboratory confirmed COVID-19 infection, June 15 to July 7. Patients were included in study if there were no previous history of kidney disease. Demographic, clinical characteristics, laboratory findings, and CO-RADS High-resolution computed tomography (HRCT) of lung report were collected. Univariate logistic regression was employed first to identify the effective, correlated items. All statistics were performed with SPSS version 18.0.

Results

In the current study, 36 (20 male- 16 female) patients with mean age of the 54.7±17.5 years old were studied. Most common symptom at the arrival was the Fever (52.8%), followed by Fatigue (18%), and dyspnea (44.4%). Computed tomography assessment revealed CO-RADS 2 in 4 (11.1%) patients, CORADS 3 in 1 (2.8%), CO-RADS 4 in 20 (55.6%), and CO-RADS 5 in 11 (30.6%) patients. In the comparison with the study groups based on the HRCT status (CO-RADS II,III vs. CO-RADS IV,V), patients with severe HRCT damage had significantly lower level of Phosphorus ( P < 0.01). Univariate logistic regression analysis showed that only one factors was associated with HRCT damage status (Phosphorus, P =0.040). Phosphorus upper than 4.5 was associated with better HRCT results with OR ratio of 3.71 (X2(1)=5.69; p=0.017).

Conclusion

Our study illustrates that higher phosphate levels may be associated with better CT scan of lung outcomes in COVID-19; while hypophosphatemia is associated with severe lung injuries. This could help clinicians to manage hospitalized patients and may link the COVID-19 and parathyroid gland.

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  1. SciScore for 10.1101/2020.08.25.20181453: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: The study design of this study was approved by the ethics committee of Jahrom University of Medical Sciences (code of IR.JUMS.REC.1398.130) and the written informed consent was obtained from the patients due to the retrospective nature of the study.
    Consent: The study design of this study was approved by the ethics committee of Jahrom University of Medical Sciences (code of IR.JUMS.REC.1398.130) and the written informed consent was obtained from the patients due to the retrospective nature of the study.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    All statistics were performed with SPSS version 18.0, and the level of significance was set at P < 0.05.
    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: 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.

    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.