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Analysis of Mortality in Patients With COVID-19: Clinical and Laboratory Parameters

Sufang Tian1, Huan Liu1, Meiyan Liao1

  • 1Department of Pathology, Zhongnan Hospital of Wuhan University, Wuhan, China.

Open Forum Infectious Diseases
|May 28, 2020
PubMed

Insights

This study analyzed 14 fatal COVID-19 cases, revealing key clinical and laboratory findings. Elevated cytokines, lymphocytopenia, and specific lung imaging patterns were common in these severe outcomes.

Area of Science:

  • Medical Research
  • Infectious Diseases
  • Pulmonology

Background:

  • Limited data exists on mortality and morbidity analyses for COVID-19, hindering understanding of its pathogenesis.
  • Epidemiological and clinical features of COVID-19 have been reported, but detailed analyses of fatal cases are scarce.
  • This study focuses on the clinical and laboratory characteristics of patients who died from COVID-19.

Purpose of the Study:

  • To examine the clinical and laboratory features of patients who died from COVID-19.
  • To provide insights into the pathogenesis of severe COVID-19.
  • To identify parameters for potential inclusion in future clinical prognosis models for fatal COVID-19 cases.

Main Methods:

  • Retrospective analysis of a cohort of 14 patients who died of COVID-19.
  • Inclusion criteria: confirmed COVID-19 diagnosis and death.
  • Data collected included demographics, underlying conditions, clinical manifestations, chest computed tomography (CT) findings, and laboratory test results.

Main Results:

  • The cohort comprised 11 males and 3 females, with 9 patients aged 70 years or above, and most had pre-existing conditions.
  • Common clinical manifestation was fever with bilateral pneumonia, often showing consolidations and ground-glass opacity (GGO) on chest CT.
  • Laboratory findings included lymphocytopenia (10/14), hyperglycemia (11/14), elevated GGT (5/14), elevated LDH (5/6), and high interleukin-6 levels (8/8).

Conclusions:

  • The observed clinical and laboratory parameters in fatal COVID-19 cases offer insights into disease pathogenesis.
  • These findings can inform the development of clinical prognosis models for severe COVID-19 outcomes.
  • Understanding these features is crucial for improving patient management and predicting disease trajectory.
Abstract

Keywords:
COVID-19SARS-CoV-2coronavirusmortalitypneumoniarisk assessment

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