Clinical features and outcomes of 2019 novel coronavirus–infected patients with cardiac injury

  1. Youbin Liu
  2. Jinglong Li
  3. Dehui Liu
  4. Huafeng Song
  5. Chunlin Chen
  6. Mingfang Lv
  7. Xing Pei
  8. Zhihui Qin
  9. Zhongwei Hu

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Abstract

Aims

To explore the epidemiological and clinical features of 2019 novel coronavirus(2019-nCoV)-infected patients with cardiac injury.

Methods and results

Data were collected from patients’ medical records, and we defined cardiac injury according to cardiac biomarker troponin I level > 0.03 μg/L. Among the 291 patients, 15 (5.2%) showed evidence of cardiac injury. Of 15 hospitalized patients with cardiac injury, the median age was 65 years, and 11/15 (73.3%) were men. Underlying cardiovascular diseases in some patients were hypertension (n=7, 46.7%), coronary heart disease (n=3, 20%) and diabetes (n=3, 20%). The most common symptoms at illness onset in patients with cardiac injury were fever (n=11, 73.3%), cough (n=7, 46.7%), headache or fatigue (n=5, 33.3%) and dyspnea (n=4, 26.7%). These patients had higher systolic pressures, white blood cell count, neutrophil count, troponin I, brain natriuretic peptide, D-dimer and lower lymphocyte count, and platelet count, compared with patients without cardiac injury, respectively. Bilateral infiltrates on chest X-ray and elevated C-reactive protein occurred in all patients with cardiac injury. Compared with patients without cardiac injury, patients with cardiac injury were more likely to develop acute respiratory distress syndrome, and receive mechanical ventilation, continuous renal replacement therapy, extracorporeal membrane oxygenation and vasopressor therapy and be admitted to the intensive care unit.

Conclusion

Cardiac injury is a common condition among patients infected with 2019-nCoV. Compared with patients without cardiac injury, the clinical outcomes of patients with cardiac injury are relatively worse.

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    SciScore for 10.1101/2020.03.11.20030957: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: This study complies with the Declaration of Helsinki and was approved by the ethics commissions of the Guangzhou Eighth people’s hospital, with a waiver of informed consent.
    Consent: This study complies with the Declaration of Helsinki and was approved by the ethics commissions of the Guangzhou Eighth people’s hospital, with a waiver of informed consent.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    All analyses were performed using SPSS 25.0 (IBM Corp. Armonk, NY, USA)
    SPSS
    suggested: (SPSS, RRID:SCR_002865)
    Statistical charts were created using GraphPad Prism 7 software (GraphPad, San Diego, CA, USA), and a two-tailed p-value < 0.05 was considered statistically significant.
    GraphPad Prism
    suggested: (GraphPad Prism, RRID:SCR_002798)
    GraphPad
    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: 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 10.1101/2020.03.11.20030957 on medRxiv