Pain Clinical Trial
Official title:
Evaluation of the Performances of Medasense Pain Monitor During General Anesthesia and Postoperative Recovery Compared to Pain Related Physiological Indicators and to Subjective Assessment of Pain by Anesthesiologist
In this study, the performances of Medasense's non-invasive pain monitoring is compared with
standard pain related indicators, such as heart rate, galvanic skin response, etc. , and
with a subjective pain level assessment. The subjective pain level is assessed by the
anesthesiologist when the patient is under general anesthesia and by the patient and a nurse
in post anesthetic care unit (PACU).
The study is based on recording and analyzing the subject's physiological signals, while
recording painful events, medication dosing and different clinical signs.
Pain is an unpleasant sensation, ranging from slight discomfort to intense suffering. Since
pain is a subjective phenomenon, it has frequently defied objective, quantitative
measurements. Today, in order to measure pain, subjective uni-dimensional scales are used to
quantify pain. One of the most common scale used to rate a patient's pain intensity is the
visual analog scale (VAS), usually scored from 0 to 100. Hitherto, those scales are based on
the subjective evaluation of pain by the patient.
During anesthesia the patient cannot communicate and therefore the verbal or other report is
impossible. Therefore, due to misrepresentation of the existence or extent of pain, care
providers may fail to estimate the correct measure of pain and give too much or too little
medication. A scoring system of pain level is therefore needed. That is the problem
Medasense's system tries to approach.
In this study investigators intend to test and analyze the performances of Medasense pain
monitor by comparing its results with standard pain related indicators and with subjective
patient's pain level assessment. The patient's pain level will be assessed by the
anesthesiologist during surgery based on known pain stimuli, medications administered and
clinical signs, and by the PACU nurse and patient's reports, when the patient is in
recovery.
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Observational Model: Cohort, Time Perspective: Cross-Sectional
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