Features of α-Hydroxybutyrate Dehydrogenase during various specific periods in COVID-19 patients within Xiangyang, China: a cohort study

  1. Haoming Zhu
  2. Gaojing Qu
  3. Hui Yu
  4. Guoxin Huang
  5. Lei Chen
  6. Meiling Zhang
  7. Shanshan Wan
  8. Bin Pei

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Abstract

Background

Coronavirus disease-2019 (COVID-19) has spread all over the world and brought extremely huge losses. There is no study to systematically analyse the features of hydroxybutyrate dehydrogenase (α-HBDH) in COVID-19 patients during the periods before and after illness progression, before death and course from exposure onset.

Methods

We collected all included patients’ general information, clinical type, α-HBDH value and outcome, and analyzed α-HBDH values within different initial time and different periods.

Results

In the first 30 days after symptom onset, the α-HBDH median value was 156.33 U/L. The first test of α-HBDH since exposure onset appeared on the 8th day, it increased from the 8th day to 18th day and decreased after the 18th day. α-HBDH median value showed a slight change until it started to increase 1 day before transforming to severe type, while it continued to increase during 4 days before and after transforming to critical type. The α-HBDH median value ranged from 191.11 U/L to 455.11U/L before death.

Conclusions

α-HBDH value increases in some COVID-19 patients, obviously in severe type, critical type and death patients, and mainly in 18 days after exposure onset and 10 days after symptom onset. α-HBDH increases 1 day before transforming to severe type, continues to increase in critical type and death patients, increases rapidly 5 days before death. The increase of α-HBDH suggests that COVID-19 patients have tissues and organs damage, mainly in heart. In brief, α-HBDH is an important indicator to judge the severity and prognosis of COVID-19.

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  1. ScreenIT

    SciScore for 10.1101/2020.10.28.20221127: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: The study was approved by the ethics review board of Xiangyang No.1 People’s Hospital (No. 2020GCP012) and registered at the Chinese Clinical Trial Registry as ChiCTR2000031088.
    Consent: Informed consent from patients has been exempted since this study does not involve patients’ personal privacy.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    2.3 Statistical Analysis: All statistical analyses were performed through SPSS 20.0.
    SPSS
    suggested: (SPSS, RRID:SCR_002865)
    All graphs were processed by GraphPad Prism 8.0.
    GraphPad Prism
    suggested: (GraphPad Prism, RRID:SCR_002798)

    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:
    However, this study has several limitations. All the patients in the study come from the single hospital, and the sample size is small. And we may fail to detect the daily α-HBDH value in patients and lose some information.

    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 10.1101/2020.10.28.20221127v1 on medRxiv