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A Heart Rate Based Algorithm to Estimate Core Temperature Responses in Elite Athletes Exercising in the Heat
PURPOSE: Non-invasive non-obtrusive continuous and real-time monitoring of core temperature (T(c)) may enhance pacing strategies, the efficacy of heat mitigation measures, and early identification of athletes at risk for heat-related disorders. The Estimated Core Temperature (ECTemp™) algorithm uses...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9256956/ https://www.ncbi.nlm.nih.gov/pubmed/35813051 http://dx.doi.org/10.3389/fspor.2022.882254 |
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author | de Korte, Johannus Q. Veenstra, Bertil J. van Rijswick, Mark Derksen, Eline J. K. Hopman, Maria T. E. Bongers, Coen C. W. G. Eijsvogels, Thijs M. H. |
author_facet | de Korte, Johannus Q. Veenstra, Bertil J. van Rijswick, Mark Derksen, Eline J. K. Hopman, Maria T. E. Bongers, Coen C. W. G. Eijsvogels, Thijs M. H. |
author_sort | de Korte, Johannus Q. |
collection | PubMed |
description | PURPOSE: Non-invasive non-obtrusive continuous and real-time monitoring of core temperature (T(c)) may enhance pacing strategies, the efficacy of heat mitigation measures, and early identification of athletes at risk for heat-related disorders. The Estimated Core Temperature (ECTemp™) algorithm uses sequential heart rate (HR) values to predict T(c). We examined the validity of ECTemp™ among elite athletes exercising in the heat. METHODS: 101 elite athletes performed an exercise test in simulated hot and humid environmental conditions (ambient temperature: 31.6 ± 1.0°C, relative humidity: 74 ± 5%). T(c) was continuously measured using a validated ingestible telemetric temperature capsule system. In addition, HR was continuously measured and used to compute the estimated core temperature (T(c−est)) using the ECTemp™ algorithm. RESULTS: Athletes exercised for 44 ± 10 min and n = 5,025 readouts of T(c) (range: 35.8–40.4°C), HR (range: 45–207 bpm), and T(c−est) (range: 36.7–39.9°C) were collected. T(c−est) demonstrated a small yet significant bias of 0.15 ± 0.29°C (p < 0.001) compared to T(c), with a limit of agreement of ±0.45°C and a root mean square error of 0.35 ± 0.18°C. Utilizing the ECTemp™ algorithm as a diagnostic test resulted in a fair to excellent sensitivity (73–96%) and specificity (72–93%) for T(c−est) thresholds between 37.75 and 38.75°C, but a low to very-low sensitivity (50–0%) for T(c−est) thresholds >39.0°C, due to a high prevalence of false-negative observations. CONCLUSION: ECTemp™ provides a valuable and representative indication of thermal strain in the low- to mid-range of T(c) values observed during exercise in the heat. It may, therefore, be a useful non-invasive and non-obtrusive tool to inform athletes and coaches about the estimated core temperature during controlled hyperthermia heat acclimation protocols. However, the ECTemp™ algorithm, in its current form, should not solely be used to identify athletes at risk for heat-related disorders due to low sensitivity and high false-negative rate in the upper end of the T(c) spectrum. |
format | Online Article Text |
id | pubmed-9256956 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92569562022-07-07 A Heart Rate Based Algorithm to Estimate Core Temperature Responses in Elite Athletes Exercising in the Heat de Korte, Johannus Q. Veenstra, Bertil J. van Rijswick, Mark Derksen, Eline J. K. Hopman, Maria T. E. Bongers, Coen C. W. G. Eijsvogels, Thijs M. H. Front Sports Act Living Sports and Active Living PURPOSE: Non-invasive non-obtrusive continuous and real-time monitoring of core temperature (T(c)) may enhance pacing strategies, the efficacy of heat mitigation measures, and early identification of athletes at risk for heat-related disorders. The Estimated Core Temperature (ECTemp™) algorithm uses sequential heart rate (HR) values to predict T(c). We examined the validity of ECTemp™ among elite athletes exercising in the heat. METHODS: 101 elite athletes performed an exercise test in simulated hot and humid environmental conditions (ambient temperature: 31.6 ± 1.0°C, relative humidity: 74 ± 5%). T(c) was continuously measured using a validated ingestible telemetric temperature capsule system. In addition, HR was continuously measured and used to compute the estimated core temperature (T(c−est)) using the ECTemp™ algorithm. RESULTS: Athletes exercised for 44 ± 10 min and n = 5,025 readouts of T(c) (range: 35.8–40.4°C), HR (range: 45–207 bpm), and T(c−est) (range: 36.7–39.9°C) were collected. T(c−est) demonstrated a small yet significant bias of 0.15 ± 0.29°C (p < 0.001) compared to T(c), with a limit of agreement of ±0.45°C and a root mean square error of 0.35 ± 0.18°C. Utilizing the ECTemp™ algorithm as a diagnostic test resulted in a fair to excellent sensitivity (73–96%) and specificity (72–93%) for T(c−est) thresholds between 37.75 and 38.75°C, but a low to very-low sensitivity (50–0%) for T(c−est) thresholds >39.0°C, due to a high prevalence of false-negative observations. CONCLUSION: ECTemp™ provides a valuable and representative indication of thermal strain in the low- to mid-range of T(c) values observed during exercise in the heat. It may, therefore, be a useful non-invasive and non-obtrusive tool to inform athletes and coaches about the estimated core temperature during controlled hyperthermia heat acclimation protocols. However, the ECTemp™ algorithm, in its current form, should not solely be used to identify athletes at risk for heat-related disorders due to low sensitivity and high false-negative rate in the upper end of the T(c) spectrum. Frontiers Media S.A. 2022-06-22 /pmc/articles/PMC9256956/ /pubmed/35813051 http://dx.doi.org/10.3389/fspor.2022.882254 Text en Copyright © 2022 de Korte, Veenstra, van Rijswick, Derksen, Hopman, Bongers and Eijsvogels. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Sports and Active Living de Korte, Johannus Q. Veenstra, Bertil J. van Rijswick, Mark Derksen, Eline J. K. Hopman, Maria T. E. Bongers, Coen C. W. G. Eijsvogels, Thijs M. H. A Heart Rate Based Algorithm to Estimate Core Temperature Responses in Elite Athletes Exercising in the Heat |
title | A Heart Rate Based Algorithm to Estimate Core Temperature Responses in Elite Athletes Exercising in the Heat |
title_full | A Heart Rate Based Algorithm to Estimate Core Temperature Responses in Elite Athletes Exercising in the Heat |
title_fullStr | A Heart Rate Based Algorithm to Estimate Core Temperature Responses in Elite Athletes Exercising in the Heat |
title_full_unstemmed | A Heart Rate Based Algorithm to Estimate Core Temperature Responses in Elite Athletes Exercising in the Heat |
title_short | A Heart Rate Based Algorithm to Estimate Core Temperature Responses in Elite Athletes Exercising in the Heat |
title_sort | heart rate based algorithm to estimate core temperature responses in elite athletes exercising in the heat |
topic | Sports and Active Living |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9256956/ https://www.ncbi.nlm.nih.gov/pubmed/35813051 http://dx.doi.org/10.3389/fspor.2022.882254 |
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