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Dose-response relationship between risk factors and incidence of COVID-19 in 325 hospitalized patients: A multicenter

Sheng-Chao Zhao1, Xian-Qiang Yu2, Xue-Feng Lai3

  • 1Department of Radiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430014, Hubei Province, China.

World Journal of Clinical Cases
|June 1, 2022
PubMed

Insights

Higher levels of lactate dehydrogenase, D-dimer, and procalcitonin are linked to increased COVID-19 mortality risk. This study clarifies dose-response relationships for these biomarkers and age in coronavirus disease 2019 patients.

Area of Science:

  • Biomedical research
  • Epidemiology
  • Clinical medicine

Background:

  • Coronavirus disease 2019 (COVID-19) patient characteristics are known, but dose-response relationships for mortality risk factors remain unclear.
  • Understanding these relationships is crucial for managing severe COVID-19 cases.

Purpose of the Study:

  • To investigate the dose-response relationship between specific risk factors and COVID-19 mortality.
  • To identify key biomarkers associated with increased risk of death in COVID-19 patients.

Main Methods:

  • Retrospective, multicenter cohort study including COVID-19 patients discharged or deceased by February 6, 2020.
  • Utilized multivariable logistic regression and Cox proportional hazard models.
  • Assessed dose-response correlations between risk factors and COVID-19 incidence and mortality.

Main Results:

  • Older age, elevated lactate dehydrogenase, C-reactive protein, procalcitonin, and D-dimer levels were associated with increased in-hospital death risk.
  • D-dimer and procalcitonin showed logarithmic correlations with mortality risk.
  • Linear dose-response relationships were observed for age, lactate dehydrogenase, D-dimer, and procalcitonin.

Conclusions:

  • Elevated lactate dehydrogenase, D-dimer, and procalcitonin levels independently predict a dose-response increase in COVID-19 mortality risk.
  • These biomarkers provide valuable prognostic information for COVID-19 patients.
Abstract

Keywords:
Coronavirus disease 2019Dose-response relationshipIncidencePrognosisRisk factor

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