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Observational Study of an Automatic Detection of Patients at Risk of Chronic Postoperative Pain ("Alerte Douleur")

NCT03164954 · Status: TERMINATED · Type: OBSERVATIONAL · Enrollment: 355

Last updated 2021-10-11

No results posted yet for this study

Summary

Following surgery, some but not all patients develop persistent (or chronic) postoperative pain CPSP. Several risk factors for this persistent pain have been confirmed in previous studies, but neither surgeons nor anesthesiologists have or take the time to systematically screen patients for this risk. However, hospital information systems often contain the data already, entered during preoperative consultations (e.g. chronic opioid medication) or obtained during the postoperative period (e.g. pain scores).

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.

Conditions

  • Pain, Postoperative

Interventions

DIAGNOSTIC_TEST

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

Sponsors & Collaborators

  • Benno Rehberg-Klug

    lead OTHER

Principal Investigators

  • Ali Bourezg, MD · University Hospital, Geneva

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2017-07-01
Primary Completion
2020-11-01
Completion
2021-06-01

Countries

  • Switzerland

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT03164954 on ClinicalTrials.gov