Computer Simulation of Individualized Human Thermal Response during General Anesthesia
10.16156/j.1004-7220.2020.02.06
- VernacularTitle:全身麻醉下个体化病人体温调节反应的计算机仿真
- Author:
Kuai YU
1
;
Xiancheng ZHANG
2
;
Hao LIU
3
,
4
Author Information
1. School of Naval Architecture, Ocean and Civil Engineering,Shanghai Jiao Tong University
2. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
3. School of Naval Architecture, Ocean and Civil Engineering,Chiba University ICRC, Shanghai Jiao Tong University
4. Graduate School of Engineering, Chiba University
- Publication Type:Journal Article
- Keywords:
human thermoregulation;
bioheat transfer model;
general anesthesia;
perioperative hypothermia;
individualized characteristics
- From:
Journal of Medical Biomechanics
2020;35(2):E163-E170
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the effects of anesthesia-induced thermoregulatory system impairment and low temperature environment of the operating room on the perioperative thermoregulation of individualized patients by constructing a computer simulation model. Methods A simple anesthesia model was proposed and then incorporated into the self-developed individualized thermoregulatory model, in which human body was represented as a cylinder with two layers of the core and the skin. The integrated model could be used to assess the effects of individualized characteristics such as age, obesity, and cardiovascular diseases on thermoregulation by modifying different physiological parameters involving sweating, shivering and cutaneous vasomotion. Simulation of the general anesthesia effects on human thermoregulation could be achieved by reducing basal metabolic rate and thresholds for vasoconstriction and shivering. Results The elderly people showed lower core temperature but higher skin temperature, compared with the young people. In a low temperature environment, an increase in fat thickness or an increase in severity degree of the left ventricular failure (LVF) might alleviate the decrease in core temperature, while an increase in wind speed or relative humidity could result in a decrease in core temperature. When the threshold setting of vasoconstriction was reduced by 0-5-3 ℃, the core temperature showed a significant decrease. Conclusions By comparing model simulations with experimental measurements, the reliability and validity of the model in predicting human transient thermal responses during varying external thermal environment was verified. The individualized characteristics of human body had an important influence on human body temperature in a low temperature environment. Moreover, the combination of individualized characteristics of human body and general anesthesia further complicated the body′s thermoregulation and posed significant challenges for clinicians.
