Predictors of In-Hospital Mortality in Older Patients With COVID-19: The COVIDAge Study

Aline Mendes1, Christine Serratrice2, François R Herrmann1

  • 1Division of Geriatrics, University Hospitals of Geneva, Geneva, Switzerland.

Insights

Male sex, crackles, increased oxygen needs, and poorer functional status predict COVID-19 mortality in older patients. These factors, not age alone, are key for prognosis assessment.

Area of Science:

  • Gerontology
  • Infectious Diseases
  • Critical Care Medicine

Background:

  • COVID-19 poses a significant threat to older adults, with high in-hospital mortality rates.
  • Predicting mortality in elderly patients with COVID-19 is crucial for resource allocation and treatment strategies.

Purpose of the Study:

  • To identify predictors of in-hospital mortality in patients aged 65 and older diagnosed with COVID-19.
  • To establish key clinical parameters for assessing prognosis in elderly COVID-19 patients.

Main Methods:

  • Retrospective cohort study analyzing electronic medical records of 235 Caucasian patients aged 65+ hospitalized for COVID-19.
  • Logistic regression and Cox proportional hazard models were employed to identify mortality predictors.
  • Data included demographics, clinical history, comorbidities, vital signs, laboratory results, and imaging.

Main Results:

  • In-hospital mortality was 32% (76/235 patients).
  • Nonsurvivors exhibited shorter time from symptoms to hospitalization, higher prevalence of heart failure, peripheral artery disease, crackles, increased respiratory rate, oxygen support needs, elevated C-reactive protein, and bilateral infiltrates.
  • Multivariable Cox model identified male sex, increased fraction of inspired oxygen, and crackles as independent predictors of mortality, while better functional status was protective.

Conclusions:

  • Male sex, presence of crackles, higher oxygen requirements, and poorer functional status are significant independent predictors of mortality in older COVID-19 patients.
  • Routine clinical parameters, rather than solely age, should guide prognostic evaluation in this demographic.
  • These findings aid in risk stratification and clinical decision-making for elderly COVID-19 patients.
Abstract

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