This study explores the significance of body temperature monitoring in hospitalized patients, particularly in critical care environments. With body temperature exhibiting considerable variability, fever, defined at a central temperature of 38.3°C, serves as a pertinent indicator across diverse medical conditions. Temperature measurement methods in Intensive Care Units (ICUs) range from routine peripheral measurements to more invasive central temperature monitoring. Critical patients with fever often receive antibiotic treatment, even without conclusive evidence of infection, as early intervention is linked to improved survival in septic patients. However, the complexity of individual variability, circadian rhythms, medication effects, and methodological limitations underscores the impracticality of defining fever with a singular temperature value. The thermal curve, representing the temporal evolution of temperature, emerges as a nuanced parameter in this context. This study seeks to establish the correlation between axillary temperature measurements, a conventional method, and temperatures recorded by thermal imaging cameras. Widely employed during the Covid-19 pandemic, these cameras offer non-invasive and contactless measurement, mitigating pathogen transmission risks, particularly in patients colonized by multidrug-resistant microorganisms or those with compromised skin integrity. The study also endeavors to evaluate the diagnostic validity of thermal imaging cameras for fever and hypothermia. The integration of thermal imaging cameras into a system capable of automated, real-time peripheral temperature acquisition suggests a potential paradigm shift in ICU temperature monitoring practices. Beyond immediate clinical applications, the amassed data from this system holds promise for training intelligent systems through machine learning algorithms. This strategic integration aims to predict critical events, such as the onset of fever, nosocomial infections, or shock, marking a forward-looking approach to patient management.
Age range
18 Years – 110 Years
Sex
ALL
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A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
Concordance between thermal imaging camera and axillary contact thermometer
Timeframe: 10 months