Heat Stroke
Conditions
Interventions
None listed
Sponsors
Yamagata University
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: Adults aged 18 years or older Patients transported to or visiting the emergency department of Yamagata University Hospital Patients diagnosed with heatstroke or heat-related illness Patients for whom written informed consent is obtained from the patient or a legally acceptable representative
Exclusion criteria
Exclusion criteria: Patients in whom conditions other than heatstroke, such as infection, central nervous system disease, neuroleptic malignant syndrome, or acute drug intoxication, are clearly considered the primary cause of hyperthermia Patients with insufficient information on the time or location of heat exposure, making acquisition of environmental data difficult Patients with substantial missing data for key variables required for biothermal model input Patients or legally acceptable representatives who decline participation or withdraw consent Patients judged by the principal investigator to be inappropriate for inclusion in the study
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Feasibility of constructing a core clinical, exposure, and environmental dataset required for biothermal model input Specifically, the study will evaluate the proportion of cases in which information on time and location of heat exposure, exposure duration, activity, clothing, ambient temperature, humidity, wet-bulb globe temperature, wind speed, solar radiation, and other relevant variables can be extracted from medical records, ambulance records, and public environmental databases and integrated into a format suitable for biothermal model input. | — |
Secondary
| Measure | Time frame |
|---|---|
| Availability rate of each model-input variable Linkage rate with environmental data based on the time and location of heat exposure Proportion of cases in which model-derived indices, including estimated core body temperature, rate of core temperature increase, body heat storage, and sweating burden, can be calculated Difference between model-estimated core body temperature and measured body temperature on arrival Exploratory associations between model-derived thermophysiological indices and clinical course, including cooling intervention, hospital admission, ICU admission, and length of hospital stay Exploratory associations between model-derived indices and laboratory data obtained during routine clinical care | — |
Countries
Japan
Contacts
Public ContactRYUTO YOKOYAMA
Yamagata University Faculty of Medicine Department of Emergency Medicine, Yamagata University Faculty of Medicine
Outcome results
None listed