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Data-driven discovery of a clinical route for severity detection of COVID-19 pediatric cases

Hui Yu, Jianbo Shao, Yuqi Guo, Yun Xiang, Chuan Sun, View ORCID ProfileYe Yuan
doi: https://doi.org/10.1101/2020.03.09.20032219
Hui Yu
aWuhan Children’s Hospital, Tongji Medical School, Huazhong University of Science and Technology, Wuhan, China
MM
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Jianbo Shao
aWuhan Children’s Hospital, Tongji Medical School, Huazhong University of Science and Technology, Wuhan, China
MD
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Yuqi Guo
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Yun Xiang
aWuhan Children’s Hospital, Tongji Medical School, Huazhong University of Science and Technology, Wuhan, China
MD
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Chuan Sun
bSchool of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China
BE
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Ye Yuan
bSchool of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China
PhD
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  • ORCID record for Ye Yuan
  • For correspondence: yye{at}hust.edu.cn
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Abstract

The outbreak of COVID-19 epidemic has caused worldwide health concerns since Nov., 2019. A previous study described the demographic, epidemiologic, and clinical features for infected infants. However, compared with adult cases, little attention has been paid to the infected pediatric cases. Severity detection is challenging for children since most of children patients have mild symptoms no matter they are moderately or critically ill therein.

Competing Interest Statement

The authors have declared no competing interest.

Funding Statement

None

Author Declarations

All relevant ethical guidelines have been followed; any necessary IRB and/or ethics committee approvals have been obtained and details of the IRB/oversight body are included in the manuscript.

Yes

All necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived.

Yes

I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance).

Yes

I have followed all appropriate research reporting guidelines and uploaded the relevant EQUATOR Network research reporting checklist(s) and other pertinent material as supplementary files, if applicable.

Yes

Footnotes

  • Funding Source: none

  • Financial Disclosure: The authors have no financial relationships relevant to this article to disclose.

  • Conflict of Interest: The authors have no conflicts of interest relevant to this article to disclose.

  • Contributors’ Statement Hui Yu designed the clinical study, collected and statistically analyzed the data, and carried out the clinical laboratory inspection and wrote the letter.

  • Jianbo Shao designed the clinical study and collected and statistically analyzed the data.

  • Yun Xiang carried out the clinical laboratory inspection.

  • Yuqi Guo and Chuan Sun discovered the clinical features and routes.

  • Ye Yuan conceptualized the idea, collected and statistically analyzed the data, discovered the clinical features and routes and wrote the letter.

  • All authors approved the final manuscript as submitted and agree to be accountable for all aspects of the work.

Data Availability

None

  • Abbreviations

    COVID-19
    Coronavirus Disease 2019
    DBIL
    Direct Bilirubin
    ALT
    Alaninetransaminase
  • Copyright 
    The copyright holder for this preprint is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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    Posted March 20, 2020.
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    Data-driven discovery of a clinical route for severity detection of COVID-19 pediatric cases
    Hui Yu, Jianbo Shao, Yuqi Guo, Yun Xiang, Chuan Sun, Ye Yuan
    medRxiv 2020.03.09.20032219; doi: https://doi.org/10.1101/2020.03.09.20032219
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    Data-driven discovery of a clinical route for severity detection of COVID-19 pediatric cases
    Hui Yu, Jianbo Shao, Yuqi Guo, Yun Xiang, Chuan Sun, Ye Yuan
    medRxiv 2020.03.09.20032219; doi: https://doi.org/10.1101/2020.03.09.20032219

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