Clinical Features of Hemodialysis (HD) patients confirmed with Coronavirus Disease 2019 (COVID-19): a Retrospective Case-Control Study

  1. Huan Zhou
  2. Xiaofen Xiao
  3. Xiaohui Wang
  4. Xianhua Tan
  5. Xin Zhang
  6. Yong He
  7. Jing Li
  8. Guosheng Yang
  9. Mingmei Li
  10. Duan Liu
  11. Shanshan Han
  12. Haibo Kuang

Reviewed by

Read the full article See related articles

Listed in

Log in to save this article

Abstract

Background

Since December 2019, Coronavirus Disease 2019(COVID-19) occurred in wuhan, China, and outbreaked rapidly into a global pandemic. This current poses great challenges to hemodialysis (HD) patients.

Objective

To make a comprehensive evaluation and comparison between HD patients confirmed with COVID-19 and the general HD patients.

Methods

HD patients confirmed with COVID-19 in Wuhan No.5 Hospital were admitted as confirmed group from Jan 10 to Mar 15, 2020. And HD patients not infected in our dialysis center were chosen as control group. General characteristics, laboratory indicators were retrospectively collected, analyzed and compared.

Results

A total of 142 cases were admitted, including 43 cases in confirmed group and 99 in control group. Body mass index (BMI) was slightly lower in confirmed group than that in control group ( P =0.011). The proportion of one or less underlying disease in confirmed group(51.16%) was higher than that in control group(14.14%)( P < 0.001), and the proportion of three or more underlying diseases in confirmed group(11.63%) was lower than that in control group(52.53%)( P < 0.001). Patients in confirmed group exhibited significantly lower hemoglobin, lymphocyte count, and lymphocyte percentage, but higher neutrophil percentage, neutrophil-to-lymphocyte ratio (NLR), C-reactive protein, aspartate transaminase, and alkaline phosphatase. There was no significant difference in age, gender, dialysis age, primary disease, the using of ACEI/ARB, platelet-to-lymphocyte ratio (PLR), and other indicators between the two groups.

Conclusions

Faced with Severe Acute Respiratory Syndrome-CoV-2 (SARS-CoV-2), HD patients with lower BMI and hemoglobin were more susceptible to be infected, which might be related to malnutrition. Once confirmed with COVID-19, HD patients expressed obviously dis-regulated of inflammation and immune.

Article activity feed

  1. ScreenIT

    SciScore for 10.1101/2020.07.06.20147827: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Statistical analysis: Statistical analyses were done using the SPSS software (version 25.0).
    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.

  2. Version published to 10.1101/2020.07.06.20147827v1 on medRxiv