Mark J Buller, Emma Atkinson, Michelle Elizabeth Akana, Peter D Finch, Kyla A Driver, Timothy J Mesite, Roger C DesRochers, Christopher J King, Tim L Bockelman, Michael S Termini
{"title":"皮肤温度适应生理应变指数(aPSI)预测运动性热病。","authors":"Mark J Buller, Emma Atkinson, Michelle Elizabeth Akana, Peter D Finch, Kyla A Driver, Timothy J Mesite, Roger C DesRochers, Christopher J King, Tim L Bockelman, Michael S Termini","doi":"10.1088/1361-6579/ae05ae","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>
Exertional heat illness (EHI) remains a challenge for those that exercise in hot and humid environments. Physiological status monitoring is an attractive method for assessing EHI risk and a critical component of recommended layered risk management approaches. While there is consensus that some combination of core body temperature, mean skin temperature, heart rate (HR), and hydration provide an indication of heat strain, a field-feasible metric that correlates to EHI incidence has not been identified.</p><p><strong>Approach: </strong>We present a comparison of five practicable heat strain indices (skin temperature, estimated core temperature, core-skin temperature difference, Physiological Strain Index [PSI], and Adaptive Physiological Strain Index [aPSI]) for 5,080 U.S. Marine Corps recruits during an intense multi-day physical assessment. We considered the ability of the calculated indices in predicting the 30 EHI cases that occurred during our study.
Results:
aPSI and single-point skin temperature identified 86.7% and 83.3% of EHI cases, respectively (~35 minute alert time and ~15% false positive rate). PSI and core-skin temperature difference were only able to identify 63.3% and 60% of EHI cases. Estimated core temperature only identified 23.3% of EHIs. Critically, the cases missed by aPSI included two individuals with fevers from viral infections, and two cases of heat exhaustion who had moderate field rectal temperatures (< 39°C); the rectal temperatures of false negatives for Tsk ranged from 38.3-40.3°C (mean 39.1 ± 0.7°C).</p><p><strong>Significance: </strong>aPSI is demonstrated as the first field-practical exertional heat strain index that accurately identifies EHI risk in real time.
.</p>","PeriodicalId":20047,"journal":{"name":"Physiological measurement","volume":" ","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Skin temperature adapted physiological strain index (aPSI) predicts exertional heat illness.\",\"authors\":\"Mark J Buller, Emma Atkinson, Michelle Elizabeth Akana, Peter D Finch, Kyla A Driver, Timothy J Mesite, Roger C DesRochers, Christopher J King, Tim L Bockelman, Michael S Termini\",\"doi\":\"10.1088/1361-6579/ae05ae\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>
Exertional heat illness (EHI) remains a challenge for those that exercise in hot and humid environments. Physiological status monitoring is an attractive method for assessing EHI risk and a critical component of recommended layered risk management approaches. While there is consensus that some combination of core body temperature, mean skin temperature, heart rate (HR), and hydration provide an indication of heat strain, a field-feasible metric that correlates to EHI incidence has not been identified.</p><p><strong>Approach: </strong>We present a comparison of five practicable heat strain indices (skin temperature, estimated core temperature, core-skin temperature difference, Physiological Strain Index [PSI], and Adaptive Physiological Strain Index [aPSI]) for 5,080 U.S. Marine Corps recruits during an intense multi-day physical assessment. We considered the ability of the calculated indices in predicting the 30 EHI cases that occurred during our study.
Results:
aPSI and single-point skin temperature identified 86.7% and 83.3% of EHI cases, respectively (~35 minute alert time and ~15% false positive rate). PSI and core-skin temperature difference were only able to identify 63.3% and 60% of EHI cases. Estimated core temperature only identified 23.3% of EHIs. Critically, the cases missed by aPSI included two individuals with fevers from viral infections, and two cases of heat exhaustion who had moderate field rectal temperatures (< 39°C); the rectal temperatures of false negatives for Tsk ranged from 38.3-40.3°C (mean 39.1 ± 0.7°C).</p><p><strong>Significance: </strong>aPSI is demonstrated as the first field-practical exertional heat strain index that accurately identifies EHI risk in real time.
.</p>\",\"PeriodicalId\":20047,\"journal\":{\"name\":\"Physiological measurement\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2025-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Physiological measurement\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1088/1361-6579/ae05ae\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BIOPHYSICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physiological measurement","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1088/1361-6579/ae05ae","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOPHYSICS","Score":null,"Total":0}
Skin temperature adapted physiological strain index (aPSI) predicts exertional heat illness.
Objective:
Exertional heat illness (EHI) remains a challenge for those that exercise in hot and humid environments. Physiological status monitoring is an attractive method for assessing EHI risk and a critical component of recommended layered risk management approaches. While there is consensus that some combination of core body temperature, mean skin temperature, heart rate (HR), and hydration provide an indication of heat strain, a field-feasible metric that correlates to EHI incidence has not been identified.
Approach: We present a comparison of five practicable heat strain indices (skin temperature, estimated core temperature, core-skin temperature difference, Physiological Strain Index [PSI], and Adaptive Physiological Strain Index [aPSI]) for 5,080 U.S. Marine Corps recruits during an intense multi-day physical assessment. We considered the ability of the calculated indices in predicting the 30 EHI cases that occurred during our study.
Results:
aPSI and single-point skin temperature identified 86.7% and 83.3% of EHI cases, respectively (~35 minute alert time and ~15% false positive rate). PSI and core-skin temperature difference were only able to identify 63.3% and 60% of EHI cases. Estimated core temperature only identified 23.3% of EHIs. Critically, the cases missed by aPSI included two individuals with fevers from viral infections, and two cases of heat exhaustion who had moderate field rectal temperatures (< 39°C); the rectal temperatures of false negatives for Tsk ranged from 38.3-40.3°C (mean 39.1 ± 0.7°C).
Significance: aPSI is demonstrated as the first field-practical exertional heat strain index that accurately identifies EHI risk in real time.
.
期刊介绍:
Physiological Measurement publishes papers about the quantitative assessment and visualization of physiological function in clinical research and practice, with an emphasis on the development of new methods of measurement and their validation.
Papers are published on topics including:
applied physiology in illness and health
electrical bioimpedance, optical and acoustic measurement techniques
advanced methods of time series and other data analysis
biomedical and clinical engineering
in-patient and ambulatory monitoring
point-of-care technologies
novel clinical measurements of cardiovascular, neurological, and musculoskeletal systems.
measurements in molecular, cellular and organ physiology and electrophysiology
physiological modeling and simulation
novel biomedical sensors, instruments, devices and systems
measurement standards and guidelines.