Erythrocyte Sedimentation Rate in COVID-19 Infections

  1. Wei Zhang
  2. Youshu Yuan
  3. Shucheng Zhang
  4. Can Jin
  5. Linlin Wu
  6. Hong Mei
  7. Miao Chen
  8. Zhixia Jiang
  9. Zhixu He

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Abstract

Objectives

To compare the clinical characteristics between the rapid cohort and the normal cohort of erythrocyte sedimentation rate (ESR) in COVID-19 infections, analyze the variables with significant differences, and explore the influencing factors of rapid ESR.

Methods

Selected a total of 80 patients with ESR detection during hospitalization were measured in 146 patients who received medical observation in concentrated isolation hospital in Guizhou province in China, collected and compared demographic information, epidemiological data, clinical symptoms, laboratory test data and CT image data during the observation between rapid cohort and normal group of ESR.

Results

By comparison, the proportion of male in the rapid cohort was higher than female. The average age was more than 35 years old, with a large age gap. The proportion of severe and critical patients was more than 26.53% (13/49). However, in the normal cohort the proportion of female was more than male, and the average age was about 8 years lower than the rapid cohort, and the age gap was smaller. The proportion of severe and critical patients was 12.90%, which was less than half of the rapid group. In the two groups, the proportion of clustered cases accounted for more than 50%, and the average number of patients in one family was more than 3. The most common clinical symptoms were cough, sputum, fever, sore throat and weakness of limbs. There were significant differences in ALT, γ-GT and C-reactive protein between the rapid and normal cohort (P<0.05), but no statistically significant in other indicators. Hemoglobin and C-reactive protein have a significant effect on erythrocyte sedimentation rate.

Conclusions

In this study, we found that ESR is related to Hemoglobin and C-reactive protein. (Funded by Science and Technology Department of Guizhou Province; Chinese ClinicalTrials.gov number, ChiCTR2000033346. opens in new tab .)

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  1. ScreenIT

    SciScore for 10.1101/2020.06.25.20139881: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementConsent: We obtained written informed consent from each participant.
    IRB: This study was approved by the Ethics Committee of Affiliated Hospital of Zunyi Medical University.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variableThe normal value of ESR was 0 ∼ 15mm/h for males and 0 ∼ 20mm/h for females, indicating the faster rate of ESR outside the range Statistical methods: Use EXCEL software to conduct statistics on the data, and then import the collated data into SPSS 22.0 for analysis.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    The normal value of ESR was 0 ∼ 15mm/h for males and 0 ∼ 20mm/h for females, indicating the faster rate of ESR outside the range Statistical methods: Use EXCEL software to conduct statistics on the data, and then import the collated data into SPSS 22.0 for analysis.
    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:
    Research strengths and weaknesses: This study compared the difference between faster and normal in demographic characteristics, epidemiological history, physical examination and imaging. After demonstrating the variables with significant differences between the groups, multiple linear regression analysis was conducted to reveal the influencing factors and the degree in ESR, which was the first study to explore the influencing factors of faster ESR based on the clinical data of COVID-19 patients. However, this study has several limitations to acknowledge. First, it was a retrospective study, we collected data prospectively from registries and medical records systems. Secondly, small sample size is a recognized limitation of data research. In view of the limited number of COVID-19 patients in Guizhou province and the difficulty in collecting continuous availability of patient clinical data, the sample size of this study is small. Therefore, it is suggested to expand the sample size with the data from surrounding provinces for verification at later stage.

    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.
    • No funding statement was detected.
    • 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.

  2. Version published to 10.1101/2020.06.25.20139881v1 on medRxiv