Heatstroke recovery at home as predicted by human thermoregulation modeling

Zhao, Jinping; Wang, Hanqing; Li, Yuguo; Xiao, Fang; Deng, Qihong

doi:10.1016/j.buildenv.2020.106752

Cited by 20 publications

(9 citation statements)

References 64 publications

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“…This is supported by the fact that ambulance transportation is free in Japan; therefore, most patients opt to be transported. As knowledge of first aid for heat-related illnesses has become more widespread in recent years, some patients may choose to recover at home (e.g., in China [71]). Further analysis may be needed in other countries.…”

Section: Limitationsmentioning

confidence: 99%

Computed and Measured Core Temperature of Patients With Heatstroke Transported From Their Homes via Ambulance

et al. 2022

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The number of patients experiencing heat-related illnesses has gradually increased due to global warming. Owing to an aging society, 50% of patients with heat-related illnesses in Japan are elderly. Core temperature is one key parameter for health care; however, its monitoring is virtually impossible. Internet of Things (IoT) devices for healthcare have been proposed; however, the vital parameters to be monitored remain controversial. Here, we assessed the core temperature of elderly patients who were transported to hospitals by ambulance from their homes. The patients' core temperatures were recorded by the Fire Department of Nagoya City in the summers of 2019 and 2020. The time course of the core temperature of each patient was then replicated using the integrated computational techniques through multiphysics analysis and thermoregulation under ambient condition data. According to the statistics, most elderly patients who were transported from their homes had a high core temperature. The measured core temperature in 31.4% of the patients was higher than the computed core temperature even assuming that there was no sweating. Assuming that the sweating function works well, the total amount of water loss was insufficient to have caused dehydration in a single day. These results suggest that successive heat stress during the preceding days should be considered to recreate the computed core temperature to match the measurement. These results were consistent with the previous finding that some elderly suffered from heatstroke successively over a few days. In the IoT-based monitoring system development, it would be informative for monitoring core temperature during the preceding days.

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Section: Limitationsmentioning

confidence: 99%

Computed and Measured Core Temperature of Patients With Heatstroke Transported From Their Homes via Ambulance

et al. 2022

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“…In this section, we first develop a human bioheat model for non-uniform environments based on Salloum’s work and then extend it to consider the effect of high temperature on the human physiological and thermoregulatory response [ 17 , 32 , 33 ]. In general, the extended human bioheat model simulates the thermal response through two interacting systems: the passive system and the controlled active system.…”

Section: Model Developmentmentioning

confidence: 99%

“…Wenzel et al [ 36 ] indicated a slow increase in heart rate over time in a hot environment. The increase in heart rate

can be calculated by [ 33 , 36 ]

where

is the percentage of cumulative water lost by the body.…”

Section: Model Developmentmentioning

confidence: 99%

“…According to Zhao et al [ 33 ], the percentage of water loss to the total body weight decreases sweating sensitivity and increases sweating threshold temperature to reduce sweating. Therefore, in the modified model, we considered the role of calculated water loss D in the sweating regulation by introducing the modified equation for sweating thermoregulatory function proposed by Montain et al [ 37 ].…”

Section: Model Developmentmentioning

confidence: 99%

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A Multi-Segmented Human Bioheat Model for Asymmetric High Temperature Environments

Geng

Weng

et al. 2022

IJERPH

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In workplaces such as steel, power grids, and construction, firefighters and other workers often encounter non-uniform high-temperature environments, which significantly increase the risk of local heat stress and local heat discomfort for the workers. In this paper, a multi-segment human bioheat model is developed to predict the human thermal response in asymmetric high-temperature environments by considering the sensitivity of the modeling to angular changes in skin temperature and the effects of high temperatures on human thermoregulatory and physiological responses simultaneously. The extended model for asymmetric high-temperature environments is validated with the current model results and experimental data. The result shows that the extended model predicts the human skin temperature more accurately. Under non-uniform high-temperature conditions, the local skin temperature predictions are highly consistent with the experimental data, with a maximum difference of 2 °C. In summary, the proposed model can accurately predict the temperature of the human core and skin layers. It has the potential to estimate human physiological and thermoregulatory responses under uniform and non-uniform high-temperature environments, providing technical support for local heat stress and local thermal discomfort protection.

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“…This issue has been addressed in more detail by Romadhon et al (2017), who proposed a model for thermal behavior of anesthetic patients, in order to explore how different ambient temperatures and air velocity affect hypothermia. Recently, considerable importance is given also to bioheat models during heat stress (Zhao, Wang, Li, Xiao, & Deng, 2020), especially because cardiovascular diseases may lead to significantly degraded thermoregulatory abilities of patients. In that regard, Zhang, Noda, Himeno, and Liu (2016) explored to what extent reductions in cardiac output and skin blood flows lead to further core temperature increase in hyperthermic conditions and how risk factors, such as obesity and aging, might even further increase the risk of heat‐related morbidity.…”

Section: Computational Thermoregulatory Modelsmentioning

confidence: 99%

Thermoregulation: A journey from physiology to computational models and the intensive care unit

Skok

Duh

Stožer

et al. 2020

WIREs Mechanisms of Disease

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Thermoregulation plays a vital role in homeostasis. Many species of animals as well as humans have evolved various physiological mechanisms for body temperature control, which are characteristically flexible and enable a fine‐tuned spatial and temporal regulation of body temperature in different environmental conditions and circumstances. Human beings normally maintain a core body temperature at around 37°C, and maintenance of this relatively high temperature is critical for survival. Therefore, principles of thermoregulatory control have also important clinical implications. Infections can cause the body temperature to rise internally and several diseases can cause a dysfunction of thermoregulatory mechanisms. Moreover, the utilization of thermotherapies in treating various diseases has been known for thousands of years with a recent resurgence of interest. An increasing amount of research suggests that targeted temperature management is of paramount importance to patient outcomes in certain clinical scenarios. We provide a concise summary of the basic concepts of thermoregulation. Emphasis is given to the principles of thermoregulation in humans in basic pathological states and to targeted temperature management strategies in the clinical environment, with special attention on therapeutic hypothermia in postcardiac arrest patients. Finally, the discussion is focused on the potential offered by computational thermophysiological models for predicting thermal responses of patients in various clinical circumstances, for proposing new perspectives in the design of novel thermal therapies, and to optimize targeted temperature management strategies.This article is categorized under: Cardiovascular Diseases > Computational Models Cardiovascular Diseases > Environmental Factors Cardiovascular Diseases > Biomedical Engineering

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Heatstroke recovery at home as predicted by human thermoregulation modeling

Cited by 20 publications

References 64 publications

Computed and Measured Core Temperature of Patients With Heatstroke Transported From Their Homes via Ambulance

Computed and Measured Core Temperature of Patients With Heatstroke Transported From Their Homes via Ambulance

A Multi-Segmented Human Bioheat Model for Asymmetric High Temperature Environments

Thermoregulation: A journey from physiology to computational models and the intensive care unit

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