Allostatic Load as a Short‐Term Prognostic and Predictive Marker

It would be highly valuable to possess a tool for evaluating disease progression and identifying patients at risk of experiencing a more severe clinical course and potentially worse outcomes. The concept of allostatic load, which represents the overall strain on the body from repeated stress responses, has been recognized as a precursor to the development of chronic illnesses. It functions as a cumulative measure of the body's capacity to adapt to stress. Numerous studies have demonstrated that elevated allostatic load levels are associated with various negative health outcomes, both physical and mental, and are more predictive of mortality than individual biomarkers. Leveraging the unique circumstances presented by the COVID-19 pandemic, we evaluated different clinical and laboratory parameters in hospitalised COVID-19 patients to assess allostatic load. Our results indicated that allostatic load acts as a strong predictor of prolonged hospitalisation, increased ICU days, and mortality. This highlights its efficacy as a precise gauge of biological dysregulation linked to the response to COVID-19 during disease progression. Allostatic load is easily obtainable and provides an early, cost-effective indication of disease prognosis. Additionally, it has the potential to forecast the necessity for ICU admission. As a result, this parameter, indicative of the comprehensive physiological disruption in response to stress, emerges as a promising prognostic marker for hospitalised patients, extending beyond COVID-19.

Authors

Institutions

Publication Details

Journal
Stress and Health
Published
2025-01-09
DOI
https://doi.org/10.1002/smi.3527
Citations
3
Primary Topic
Climate Change and Health Impacts
Type
article
Field-Weighted Citation Impact
3.60
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Allostatic Load as a Short‐Term Prognostic and Predictive Marker

Francisco López‐Muñoz, Eduardo García‐Rico, Ángel Arias, Ana María Gómez García
3 citations
Stress and Health
Climate Change and Health Impacts
3.60
article

Allostatic Load as a Short‐Term Prognostic and Predictive Marker

Francisco López‐Muñoz, Eduardo García‐Rico, Ángel Arias, Ana María Gómez García
article en
3 citations

Abstract

It would be highly valuable to possess a tool for evaluating disease progression and identifying patients at risk of experiencing a more severe clinical course and potentially worse outcomes. The concept of allostatic load, which represents the overall strain on the body from repeated stress responses, has been recognized as a precursor to the development of chronic illnesses. It functions as a cumulative measure of the body's capacity to adapt to stress. Numerous studies have demonstrated that elevated allostatic load levels are associated with various negative health outcomes, both physical and mental, and are more predictive of mortality than individual biomarkers. Leveraging the unique circumstances presented by the COVID-19 pandemic, we evaluated different clinical and laboratory parameters in hospitalised COVID-19 patients to assess allostatic load. Our results indicated that allostatic load acts as a strong predictor of prolonged hospitalisation, increased ICU days, and mortality. This highlights its efficacy as a precise gauge of biological dysregulation linked to the response to COVID-19 during disease progression. Allostatic load is easily obtainable and provides an early, cost-effective indication of disease prognosis. Additionally, it has the potential to forecast the necessity for ICU admission. As a result, this parameter, indicative of the comprehensive physiological disruption in response to stress, emerges as a promising prognostic marker for hospitalised patients, extending beyond COVID-19.

Stress and HealthVol. 41(1)
Hospital Universitario HM Madrid (ES), HM Hospitales (ES), Camilo José Cela University (ES)
Good health and well-being
Openalex Percentile: Top 10%
Climate Change and Health Impacts
3.60
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Allostatic Load as a Short‐Term Prognostic and Predictive Marker — Francisco López‐Muñoz, Eduardo García‐Rico, et al. · Stress and Health (2025) | TGRS Research Map | TGRS