Clinical Features and Risk Factors for In-Hospital Mortality From COVID-19 Infection at a Tertiary Care Medical

Ashish Bhargava1, Susanna M Szpunar1, Mamta Sharma1

  • 1Division of Infectious Diseases, Department of Internal Medicine, Thomas Mackey Center for Infectious Disease Research, 21928Ascension St. John Hospital, Detroit, MI, USA.

Insights

Older age, higher comorbidity scores, and specific laboratory markers like low white blood cell counts and albumin predict COVID-19 mortality. Identifying these risk factors aids early interventions for severe cases.

Area of Science:

  • Infectious Diseases
  • Epidemiology
  • Critical Care Medicine

Background:

  • COVID-19 mortality is linked to advanced age, race, and comorbidities.
  • Understanding clinical risk factors and biomarkers is crucial for early intervention.
  • This study investigated in-hospital mortality risk factors in COVID-19 patients at a Detroit tertiary care center.

Purpose of the Study:

  • To identify clinical risk factors and laboratory biomarkers associated with severe COVID-19 outcomes.
  • To determine predictors of in-hospital mortality among COVID-19 patients.
  • To inform early intervention strategies for high-risk individuals.

Main Methods:

  • Retrospective cohort study of 565 adult inpatients with confirmed COVID-19.
  • Data collected included comorbidities (Charlson Weighted Index of Comorbidity - CWIC), vital signs, and admission laboratory markers.
  • Primary outcome was in-hospital mortality.

Main Results:

  • The case fatality rate was 30.4% (172 deaths).
  • Deceased patients were significantly older and had higher rates of congestive heart failure, dementia, hemiplegia, and malignancy.
  • Multivariable analysis identified age >60, higher CWIC score, qSOFA, elevated WBC, lymphocytopenia, thrombocytopenia, low albumin, and high AST as mortality predictors.

Conclusions:

  • This study identified key risk factors for COVID-19 in-hospital mortality during the early pandemic.
  • After adjustment, the quick SOFA (qSOFA) score remained an independent predictor of mortality.
  • Knowledge of these risk factors can guide patient observation and early therapeutic interventions.
Abstract

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