Prediction of Pain After Breast Cancer Surgery With EEG
This study has been terminated.
(funding and recruiting problems)
Information provided by (Responsible Party):
Carine Vossen, Maastricht University Medical Center
First received: June 1, 2011
Last updated: November 26, 2013
Last verified: November 2013
- Rationale The inter-individual pain experience immediately after surgery is considerable. In addition, a number of patients develop chronic post surgery pain (CPSP). Patients undergoing surgery for breast cancer are at risk of developing both acute post surgical pain as well as CPSP. Recently, in a group of patients with chronic back pain, it was demonstrated how subjectively reported pain is associated with specific electroencephalography (EEG) parameters, namely the N2 and P3 components of the pain event-related potential (ERP). It was concluded that ERP was associated with self-reported pain in daily life up to two weeks after the measurement. This resulted in the current hypothesis that EEG may be a predictor for postoperative pain.
Study design Prospective cohort study. Within 2 weeks before surgery, 150 patients will undergo an EEG measurement with five 'vulnerability' tasks. The experiment will be repeated 6 months postoperatively.
Study population: Female patients with breast cancer who will undergo breast surgery, between the ages of 18 to 65 years.
- Main study parameters/endpoints Primary outcome is postoperative pain, measured in a pain diary 4 days postoperatively. Secondary outcomes are development of chronic post surgery pain and quality of life. The main goal is to develop a comprehensive prediction model for acute and chronic postoperative pain after breast cancer surgery, based on the EEG results of the five vulnerability experiments.
||Observational Model: Cohort
Time Perspective: Prospective
||EEG as a Predictor for Postoperative Pain and the Development of Chronic Postsurgical Pain After Breast Cancer Surgery
Primary Outcome Measures:
Secondary Outcome Measures:
| Study Start Date:
| Study Completion Date:
| Primary Completion Date:
||February 2012 (Final data collection date for primary outcome measure)
|Ages Eligible for Study:
||18 Years to 65 Years (Adult)
|Sexes Eligible for Study:
|Accepts Healthy Volunteers:
One hundred and fifty female patients undergoing elective breast cancer surgery in day-case surgery.
- Age 18 - 65 years.
- ASA 1-2.
- Sufficient comprehension of the Dutch spoken and written language.
- Elective curative breast cancer surgery, both mastectomy and breast- conserving therapy
- Stage I and II breast cancer.
- Written informed consent is obtained
- Previous breast surgery, both ipsilateral and contralateral.
- Stage III-IV breast cancer.
- Chronic pain (>3months) with an average severity of at least a VAS score 4 during the last two weeks.
- Chronic pain for which invasive treatment is needed.
- Use of (weak / strong) opioids in the last week.
- A history of opioid addiction.
- Regular use of the following medications in the last year:
antiepileptics,antipsychotics and anxiolytics.
- ASA 3 or higher.
- Consumption of alcohol (>4 units) and / or drugs the evening before.
- Alcohol consumption (>= 5 units/day).
- Illiteracy, problems with self expression, language barrier.
- Serious vision and / or hearing problems, interfering the performance of the experimental tasks.
- A history of psychiatric complaints and/or epilepsy .
- A medical history of CVA or TIA.
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Please refer to this study by its ClinicalTrials.gov identifier: NCT01392248
|Maastricht, Limburg, Netherlands, 6200 MD |
Maastricht University Medical Center
||M. A Marcus, Prof. Dr.
||Maastricht University Medical Center
||J. van Os, Prof. Dr.
||Maastricht University Medical Center
||Carine Vossen, MD, Maastricht University Medical Center
History of Changes
|Other Study ID Numbers:
NL34275.068.11 / MEC 11-2-006
|Study First Received:
||June 1, 2011
||November 26, 2013
Keywords provided by Carine Vossen, Maastricht University Medical Center:
breast cancer surgery
acute postoperative pain
Additional relevant MeSH terms:
ClinicalTrials.gov processed this record on August 18, 2017
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Nervous System Diseases
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