Risk Factors and Predictive Model for Mortality of Hospitalized COVID-19 Elderly Patients from a Tertiary Care

Mallika Chuansangeam1, Bunyarat Srithan1, Pattharawin Pattharanitima1

  • 1Department of Internal Medicine, Faculty of Medicine, Thammasat University Hospital, Thammasat University, Pathum Thani 12120, Thailand.

PubMed

Insights

A new risk score accurately identifies elderly COVID-19 patients at high risk of death. This tool aids early clinical decisions for hospitalized seniors with COVID-19, improving mortality prediction.

Area of Science:

  • Gerontology
  • Infectious Diseases
  • Clinical Medicine

Background:

  • Elderly patients with COVID-19 face a high mortality risk.
  • Early identification of high-risk individuals is crucial for timely clinical intervention.
  • This study focuses on predicting in-hospital mortality in this demographic.

Purpose of the Study:

  • To identify risk factors for all-cause in-hospital mortality in elderly COVID-19 patients.
  • To develop a predictive scoring system for mortality risk assessment.
  • To validate the accuracy of the developed risk score.

Main Methods:

  • Retrospective review of 138 hospitalized elderly COVID-19 patients (age > 60).
  • Multivariate logistic regression to identify independent predictors of mortality.
  • Development of a weighted integer risk score based on identified variables.

Main Results:

  • Four key variables (age, respiratory rate, glomerular filtration rate, stroke history) were identified as predictors.
  • The developed scoring system demonstrated high accuracy with an AUROC of 0.9415.
  • A risk score exceeding 213 was established as a threshold for high mortality risk.

Conclusions:

  • A simple predictive risk score can accurately assess mortality risk upon admission.
  • This tool offers a valuable initial assessment for hospitalized elderly COVID-19 patients.
  • The scoring system supports informed clinical decision-making for high-risk individuals.

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