The purpose of this clinical investigation is to evaluate the integration of data from the CPC12S telemonitoring device, the CPC temperature/humidity sensor, and the IDRO sweat lactate sensor into a single system for the prediction of sepsis onset in ICU patients at risk of developing sepsis. Patients will be monitored for up to 48 hours, and the collected physiological and biomarker data will be used to support the development of artificial intelligence and machine learning models for sepsis prediction.
This is a prospective clinical performance study involving ICU patients at risk of developing sepsis. The study will assess the integration of portable sensor devices into the CPC telemonitoring platform for the collection and visualization of physiological and biomarker data. The CPC12S device will collect vital physiological parameters, including electrocardiography, oxygen saturation, non-invasive blood pressure, respiratory rate, heart rate, body position, and physical activity. A CPC temperature and humidity sensor will be used for continuous monitoring of body temperature and humidity. In addition, the IDRO investigational sweat lactate sensor will be integrated into the system to collect sweat lactate data. The study will be conducted in phases. In the first phase, patients will be monitored using the CPC12S device together with the temperature and humidity sensor. In the second phase, patients will be monitored using the CPC system, the temperature and humidity sensor, and the IDRO sweat lactate sensor. All patients will be monitored for up to 48 hours. The collected data will be analyzed together with clinical information recorded by healthcare professionals. The primary objective is to support prediction of sepsis onset by integrating data from the CPC12S device, the CPC temperature/humidity sensor, and the IDRO sweat lactate sensor. Secondary objectives include completing the integration of the IDRO sensor into the CPC system, validating the IDRO sweat lactate measurements against standard clinical blood lactate measurements, and developing an algorithm based on device-recorded and clinical data for sepsis prediction. The data collected in this study will not be used to guide clinical decisions during the study. Medical care and clinical decisions will remain under the responsibility of the hospital medical team according to standard clinical practice.
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
The CPC12S telemonitoring system will be used together with the CPC temperature and humidity sensor to collect physiological parameters, body temperature, and humidity data from ICU patients during the monitoring period.
The investigational IDRO sweat lactate sensor will be used to collect sweat lactate measurements. The sensor will be integrated with the CPC system for data transmission, visualization, and analysis.
Area under the receiver operating characteristic curve (AUC-ROC) of the integrated sensor-based model for prediction of sepsis onset
The primary outcome is the predictive performance of the integrated sensor-based model for identifying sepsis onset in ICU patients. The model will use data collected from the CPC12S telemonitoring system, the CPC temperature/humidity sensor and, where applicable, the IDRO sweat lactate sensor. Sepsis onset will be determined by the clinical diagnosis recorded by the treating medical team and assessed according to Sepsis-3 criteria. Predictive performance will be reported as the area under the receiver operating characteristic curve (AUC-ROC).
Time frame: Up to 48 hours of patient monitoring
Correlation between IDRO sweat lactate measurements and standard blood lactate measurements
The correlation between sweat lactate values measured by the IDRO sensor and blood lactate values measured as part of routine ICU clinical practice will be assessed using Pearson or Spearman correlation coefficients.
Time frame: Up to 48 hours of patient monitoring
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Purpose
PREVENTION
Masking
NONE
Enrollment
360