Observational Study of an Automatic Detection of Patients at Risk of Chronic Postoperative Pain ("Alerte Douleur")
NCT ID: NCT03164954
Last Updated: 2021-10-11
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
TERMINATED
355 participants
OBSERVATIONAL
2017-07-01
2021-06-01
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Here the investigators test an automatic detection algorithm which alerts the analgesia team when a patient at risk of CPSP is or has been operated.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Benefit on Chronic Pain of Early Screening and Management of Patients With Persistent Postoperative Pain at 3 Months
NCT07160595
Prediction of Postoperative Pain by Measuring Nociception at the End of Surgery
NCT01828424
Help With Early Detection of Postoperative Neuropathic Pain Using SMS After Ambulatory Surgery
NCT04313855
Personalized Prediction of Persistent Postsurgical Pain
NCT04864275
Clinical Prediction of Post-surgical Pain
NCT06661642
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
The secondary aim of the study is to develop an algorithm (combination of risk factors) with which the specificity of the alert can be improved.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
COHORT
PROSPECTIVE
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
automatic risk detection
automatic alert of the risk for CPSP, triggered by one of the following entries in the hospital information system: psychological risk factors (depression, anxiety, PTSD, catastrophizing, high pain anticipation), chronic use of benzodiazepines or opioids, intense postoperative pain or need of large opioid doses in the recovery room
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
* elective surgery
* perioperative use of the hospital information system
* surgery of the following types: endoprosthesis of the knee or shoulder, amputation other than toe or finger, spinal surgery, cardio-thoracic thoracotomy, laparotomy, inguinal hernia repair, breast surgery
Exclusion Criteria
* emergency surgery
* having already participated in the study for another surgery
18 Years
ALL
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
Benno Rehberg-Klug
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Benno Rehberg-Klug
médecin adjoint agrégé
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
Ali Bourezg, MD
Role: PRINCIPAL_INVESTIGATOR
University Hospital, Geneva
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
Hôpitaux Universitaires de Genève
Geneva, , Switzerland
Countries
Review the countries where the study has at least one active or historical site.
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
ALDO
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.