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COVID-19 mortality as a fingerprint of biological age
M Cristina Polidori1, Helmut Sies2, Luigi Ferrucci3
1Department II of Internal Medicine and Center for Molecular Medicine Cologne, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany; Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany.
Insights
Corona virus disease 2019 (COVID-19) disproportionately affects older individuals by targeting aging-related pathways. Biological age, not just chronological age, appears crucial for predicting COVID-19 outcomes, highlighting the need to identify frail individuals at risk.
Area of Science:
- Gerontology
- Infectious Diseases
- Public Health
Background:
- Corona virus disease 2019 (COVID-19) presents a global health crisis, particularly impacting the elderly population.
- The disease's pathophysiology intersects with key aging and frailty mechanisms.
Purpose of the Study:
- To analyze the relationship between biological age and COVID-19 prognosis.
- To emphasize the need for proactive identification of frail individuals at risk of severe COVID-19 outcomes.
Main Methods:
- Review of existing data on COVID-19 pathophysiology and clinical manifestations.
- Analysis of factors influencing COVID-19 prognosis, focusing on biological versus chronological age.
Main Results:
- COVID-19 targets pathophysiological pathways commonly affected by aging and frailty.
- Evidence suggests biological age is a more significant predictor of COVID-19 prognosis than chronological age.
Conclusions:
- Biological age plays a critical role in COVID-19 outcomes.
- Systematic identification of frail individuals, irrespective of age or comorbidity status, is essential for risk stratification and management.
Abstract:
Corona virus disease 2019 (COVID-19) is a global emergency able to overwhelm the healthcare capacities worldwide and to affect the older generation especially. When addressing the pathophysiological mechanisms and clinical manifestations of COVID-19, it becomes evident that the disease targets pathways and domains affected by the main aging- and frailty-related pathophysiological changes. A closer analysis of the existing data supports a possible role of biological age rather than chronological age in the prognosis of COVID-19. There is a need for systematic, consequent action of identifying frail (not only older, not only multimorbid, not only symptomatic) persons at risk of poor outcomes.
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