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Updated: Apr 2, 2026

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A Preclinical Model of Exertional Heat Stroke in Mice
Published on: July 1, 2021
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Thermal Response Patterns Provide Early Sign of Exertional Heat Stroke during Intense Activity
Emma Atkinson1, Nisha Charkoudian1, Kyla Driver1
1Thermal and Mountain Medicine Division, U.S Army Research Institute of Environmental Medicine, Natick, MA.
Medicine and Science in Sports and Exercise
|April 1, 2026
Summary
Early detection of Exertional Heat Stroke (EHS) is possible by monitoring physiological responses. Heart rate and temperature patterns can identify individuals at risk during strenuous military events.
Area of Science:
- Physiology
- Environmental Health
- Military Medicine
Background:
- Exertional Heat Stroke (EHS) poses a significant risk to active populations, with severe cases leading to organ damage or death.
- Early detection of EHS is crucial for timely intervention but is challenging due to its rarity in human studies.
- Physiological monitoring offers a potential method for early warning of EHS risk.
Purpose of the Study:
- To compare physiological response patterns, including heart rate and thermal data, between individuals who experienced EHS and matched controls during a military ruck march.
- To identify distinct physiological signatures associated with EHS during strenuous physical activity.
Main Methods:
- Collected physiological data (heart rate, skin temperature, core temperature, accelerometry) using chest-mounted monitors on seven EHS cases and 21 matched controls during a loaded military ruck march.
- Analyzed mean heart rate (HR), skin temperature (Tsk), estimated core temperature (Tect), and Gait Instability Index (GINI) across four quartiles of the event.
- Utilized Two-way ANOVA to compare physiological profiles between the EHS and control groups.
Main Results:
- Estimated core temperature (Tect) increased significantly faster over time in the EHS group (p=0.001).
- Heart rate (HR) and skin temperature (Tsk) exhibited different patterns and were elevated in the EHS group during later quartiles, narrowing the Tsk-Tc gradient.
- The Gait Instability Index (GINI) was higher in the EHS group only in the final quartile.
Conclusions:
- This study presents a novel early detection method for EHS in prolonged military exercises.
- The method integrates patterns of heart rate, skin temperature, and estimated core temperature for risk identification.
- This approach has the potential to enhance safety during demanding physical activities in military and other active communities.
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