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Laboratory findings and a combined multifactorial approach to predict death in critically ill patients with COVID-19: a retrospective study

  • Q. Liu (a1), N. C. Song (a1), Z. K. Zheng (a1), J. S. Li (a1) and S. K. Li (a1)...

Abstract

To describe the laboratory findings of cases of death with coronavirus disease 2019 (COVID-19) and to establish a scoring system for predicting death, we conducted this single-centre, retrospective, observational study including 336 adult patients (≥18 years old) with severe or critically ill COVID-19 admitted in two wards of Union Hospital, Tongji Medical College, Huazhong University of Science and Technology in Wuhan, who had definite outcomes (death or discharge) between 1 February 2020 and 13 March 2020. Single variable and multivariable logistic regression analyses were performed to identify mortality-related factors. We combined multiple factors to predict mortality, which was validated by receiver operating characteristic curves. As a result, in a total of 336 patients, 34 (10.1%) patients died during hospitalisation. Through multivariable logistic regression, we found that decreased lymphocyte ratio (Lymr, %) (odds ratio, OR 0.574, P < 0.001), elevated blood urea nitrogen (BUN) (OR 1.513, P = 0.009), and raised D-dimer (DD) (OR 1.334, P = 0.002) at admission were closely related to death. The combined prediction model was developed by these factors with a sensitivity of 100.0% and specificity of 97.2%. In conclusion, decreased Lymr, elevated BUN, and raised DD were found to be in association with death outcomes in critically ill patients with COVID-19. A scoring system was developed to predict the clinical outcome of these patients.

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Copyright

This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.

Corresponding author

Author for correspondence: S. K. Li, E-mail: shoukangli@hust.edu.cn

Footnotes

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Q. Liu and N. C. Song contributed equally to this work.

Footnotes

References

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Keywords

Laboratory findings and a combined multifactorial approach to predict death in critically ill patients with COVID-19: a retrospective study

  • Q. Liu (a1), N. C. Song (a1), Z. K. Zheng (a1), J. S. Li (a1) and S. K. Li (a1)...

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