The primary objective is to measure the effect of nociceptive stimuli on features derived from ECG, ABP, PPG, EEG and facial video recordings, to be used to design an index of nociception. The index of nociception should correlate well with…
ID
Source
Brief title
Condition
- Administration site reactions
Health condition
Research involving
Sponsors and support
Intervention
- Other intervention
Outcome measures
Primary outcome
The primary endpoint of the study is the correlation between the presence of nociception and measures of nociception (features derived from ECG, ABP, PPG (pulsations in finger), GSR (sweatproduction on hand) EEG and facial recordings)
Secondary outcome
- the effect of remifentanil on the correlation between the index of nociception and the stimulus strenghts and related NRS scores - the performance of within Philips Research erlier developed vital sign based (i.e.HRV, BP) algorithms - the index of nociception with indices on the market such as ANI - the performance of the PainCheck facial expressions algorithm for pain detection
Background summary
Pain is defined by the International Association for the Study of Pain as “an unpleasant sensory and emotional experience
associated with actual or potential tissue damage, or described in terms of such damage”. Nociception is “the neural process of
encoding noxious stimuli”.
Nociception during surgery can lead to surgically-induced neuropathic pain (SNPP). SNPP has been estimated to occur in 10-
50% of patients. To prevent SNPP, a perioperative strategy would be to continuously block nociception, and for this an objective
measure of nociception is necessary.
In clinical practice it is seldom possible to completely block activation of the nociceptive pathways. When spinal or regional
anesthesia is not possible, the one of the opioid drugs is administered to counteract the nociceptive signals. At present it is very
difficult for clinicians to judge when or if the opioid dose is adequate, and this is a problem because both inadequate and
excessive doses have adverse consequences. In adequate doses of opioids are associated with sympathetic activation and
hemodynamic instability (tachycardia and hypertension), and possibly an increased risk of SNPP. On the other hand excessive
doses are associated with adverse effects such as bradycardia and hypotension, post-operative nausea and vomiting,
generalized itching and constipation. Moreover, excessive doses may be associated with opioid tolerance and opioid-induced
hyperalgesia which can lead to increased post-operative opioid requirements, and eventually a higher incidence of SNPP.
Nociception measurement and management is a quality indicator for hospitals. Monitoring of nociception in the OR could result
in improved patient safety, higher OR throughput, and better patient outcome.
In current clinical practice, anesthesiologists primarily rely on changes in heart rate (HR) and arterial blood pressure (ABP) as a
measure of the balance between nociception and anti-nociception (i.e. the dose of analgesic drugs) during surgery. However,
with this approach some nociceptive responses may be missed.
There is a need for a continuous, objective nociception index especially for sedated unconscious patients who cannot express
their pain levels. There is an increasing number of new nociception/pain/stress indices in the market using a combination of vital
signs, using galvanic skin conductance or brain signals or using a combination of different parameters. However, none of these
technologies is currently better than BP and HR in predicting nociceptive response and there is definitely room for improvement.
In our current study, we aim to use a novel combination of parameters to design a unique nociception index.
Heart rate variability (HRV) is a widely used measure of alterations in sympathetic and parasympathetic autonomic nervous
system activity. HRV has been associated with nociceptive stimuli since many years. More recent studies have underpinned the
potential value of HRV in nociception measurement.
Another physiological response to nociceptive events is an increase in blood pressure. This has been shown for tonic
nociceptive stimuli, as well as short nociceptive stimuli.
Photoplethysmography (PPG) measures local blood volume changes, e.g. at the fingertip. The pre-processing of a patient
monitor removes some of the information in a PPG waveform, which is why we chose a recording method that avoids this. The
PPG waveform consists of a DC component (i.e. low-frequency variations) and an AC component (higher frequency variations).
The AC component has been shown to be relevant for measuring nociception. Various parameters can be derived from the PPG
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waveform, such as amplitude, area under the curve, and rising slope.
Galvanic skin response is a measure that is used to measure stress, and has also been linked to noci
Study objective
The primary objective is to measure the effect of nociceptive stimuli on features derived from ECG, ABP, PPG, EEG and facial
video recordings, to be used to design an index of nociception. The index of nociception should correlate well with strength of
nociceptive stimulus and subjective NRS score.
The secondary objectives are to:
- Analyse the effect of remifentanil on the correlation between the index of nociception and the stimulus strengths and related
subjective NRS scores (remifentanil is standard in surgery care, is fast acting, and often used in other studies that research
nociception).
- Evaluate the performance of within Philips Research earlier developed vital sign based (i.e. HRV, BP) algorithms.
- Benchmark the index of nociception with indices on the market such as ANI (Analgesia Nociception
Evaluate the performance of the PainChek facial expressions algorithm for pain detection
Study design
an index of nociception
Intervention
Patient will receive a standardized pain protocol with and without administration of remifentanil. The pain protocol consists of electrical and thermical pain stimuli and the ice bucket water test.
Age
Inclusion criteria
1) Age between 18 and 65 years old 2) ASA I Healthy subjects 3) BMI < 35 4) Females should be using contraception
Exclusion criteria
1) Pregnancy (pregnancy test before start protocol, if female, with the exception of post menstrual women) 2) Smoking 3) Alcohol abuse 4) Medication that influeunces the central or peripheral nervous system, or the cardiovascular system 5) Drug use (drug test before start protocol) 6) Raynaud's disease (poor blood circulation) 7) Scleroderma, Dupuytren’s Contracture, or other Rheumatology issues 8) Depression and/or anxiety (the Hospital Anxiety and Depression Scale (HADS) questionnaire is given before the start of the protocol. Subjects with a score greater than or equal to 11 are excluded) 9) Food eaten in the 6 hours before the test 10) Fluid intake within less than 2 hours of the planned start of experimentation 11) Use of caffeinated beverages in the 12 hours before the test 12) Use of caffeinated food (e.g. chocolate) in the 6 hours before the test COVID-19 additional Exclusion criteria: 13) Currently displaying COVID-19-related symptoms, namely a fever, cough and/or difficulty breathing 14) Having been positively tested as infected with COVID-19 in the past 14 days 15) Travelled to or from high risk COVID-19 areas in the past 14 days 16) Been in contact with a (suspected) COVID-infected person in the past 14 days
Design
Recruitment
IPD sharing statement
Postbus 2500
3430 EM Nieuwegein
088 320 8784
info@mec-u.nl
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In other registers
Register | ID |
---|---|
NTR-new | NL9366 |
CCMO | NL77088.100.21 |
OMON | NL-OMON54413 |