Continuous Temperature Measurement by Thermal Imaging Camera: Concordance, Patterns, and Intelligent Prediction of Events in Critical Patients
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 发起方
- 入组人数
- 224
- 主要终点
- Concordance between thermal imaging camera and axillary contact thermometer
研究概览
简要总结
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.
详细描述
This study delves into the nuanced domain of body temperature monitoring in the context of hospitalized patients, with a particular emphasis on critical care settings. The primary physiological variable under scrutiny is body temperature, a parameter that has been extensively examined in the clinical realm. It is underscored that the normal range for body temperature hovers around 36.7°C, but with a significant degree of variability spanning from 35.3 to 37.7°C, both among different individuals and within the same person throughout the day.
Fever, a crucial clinical manifestation, is operationally defined by a consensus reached by the American College of Critical Care Medicine and the Infectious Diseases Society of America, placing it at a central temperature of 38.3°C. This central temperature refers to the temperature of internal organs, and the thermal elevation associated with fever is not exclusive to infectious processes but extends to various other conditions, including autoimmune diseases, oncological conditions, bleeding, inflammatory reactions, surgical procedures, and drug-induced scenarios.
The multifaceted landscape of temperature measurement methods in Intensive Care Units (ICUs) is acknowledged, with peripheral temperature measurements using contact thermometers in the axilla being the most common approach. For patients with sustained fever or those undergoing therapeutic hypothermia, continuous monitoring of central temperature through various methods such as rectal, tympanic, vesical, or esophageal measurements is considered. However, the more invasive nature of central temperature monitoring, coupled with technical challenges, higher economic costs, and potential complications, limits its widespread utilization.
The critical nature of thermal monitoring in the care of patients is highlighted, especially considering that fever often prompts antibiotic treatment, even in the absence of confirmed infection, due to the observed improvement in survival rates among septic patients with early intervention. The complex landscape surrounding temperature measurement, characterized by individual variability, circadian changes, diverse measurement methods, medication influence, and methodological deficiencies, prompts a reconsideration of the feasibility of defining fever based on a single temperature value. To address this complexity, the study introduces the concept of the thermal curve, representing the temporal evolution of temperature throughout the day, which may exhibit sustained elevation or peaks and may or may not respond to interventions like antipyretics, antibiotics, or other temperature control methods.
An additional challenge in fever monitoring, particularly with sporadic measurements rather than continuous monitoring, is the potential oversight of febrile peaks or the failure to capture the maximum or minimum temperature values experienced by the patient. This limitation underscores the need for innovative approaches to temperature monitoring that can overcome these challenges.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Only
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 110 Years(Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Patients admitted to the ICU in a room with a thermal imaging camera
- •Patients who provide voluntary consent to participate in the study (Annex 2). If the participant is not in full physical or intellectual capacity to provide their signature in the informed consent, the responsible investigator will seek consent from their direct family member or the legally designated person to make decisions on their behalf regarding health matters. This measure is adopted to ensure the participant's rights are respected and the integrity of the consent process is maintained, even in situations where their decision-making capacity may be compromised.
排除标准
- •Patients from whom information from the thermal imaging camera cannot be obtained due to technical reasons.
结局指标
主要结局
Concordance between thermal imaging camera and axillary contact thermometer
时间窗: 10 months
To assess the concordance of temperature obtained continuously by a thermal imaging camera with that obtained by an axillary contact thermometer
次要结局
- Sociodemographic and clinical characteristics of the study population.(10 months)
- Test validity for fever and hypothermia(10 months)
- Regional thermal measurement(10 months)
- Thermal curve patterns in patients with infection upon admission and patients who develop infection during admission(10 months)
- Difference until fever detection(10 months)
- Thermal curve patterns(10 months)
研究者
Samuel Gonzalez Lopez
Principal Investigator
Universidad Europea de Madrid
