One out of 10 patients undergoing surgery develops persistent post-surgical pain (PPSP). Unfortunately, available therapies for treating this pain have limited success. It is therefore of great importance to find strategies to prevent PPSP. The goal of this project is to find new screening tools that identify patients that are at risk for developing PPSP. Tissue injury and inflammation following surgery increase the excitability of spinal nociceptive neurons ("central sensitisation", CS) with pain hypersensitivity as consequence. It is thought that CS plays an important role in persistent pain. The first objective of this project is to assess in human patients if the propensity to develop CS manifested as secondary hyperalgesia before surgery is predictive for PPSP. In addition, we will test if the frequency content of the resting-state EEG reflecting the initial state of the brain will be related to the propensity for developing CS and to the presence of PPSP at two months after surgery.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
SCREENING
Masking
NONE
Enrollment
70
recording of resting state EEG using 64 surface electrodes
Hospital Anxiety Depression Scale (HADS) Neuropathic Pain questionnaire (DN4) Brief Pain Inventory (BPI) Fatigue Assessment Scale (FAS)
HFS consists of transcutaneous electrical stimuli delivered as 42 Hz trains (pulse width: 2 ms) lasting 1 s. The trains are repeated 12 times. Each train is separated by 10 seconds.
Mechanical pinprick stimuli will be applied manually by the operator on the skin using a mechanical stimulator (maximum weight 128 mN).
Department of Surgery
Brussels, Belgium
NOT_YET_RECRUITINGSaint Luc Hospital
Brussels, Belgium
RECRUITINGmechanical pinprick perceived intensity
magnitude of the increase in sensitivity to mechanical pinprick stimuli after HFS
Time frame: 1 day before surgery
area of increased mechanical pinprick sensitivity
spatial extent of the increased sensitivity to mechanical pinprick stimuli after HFS
Time frame: 1 day before surgery
resting state EEG
frequency content of the resting state EEG
Time frame: 1 week before surgery
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