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

Pain, Postoperative Clinical Trial

Official title: Étude Observationnelle Prospective d'Une Alerte Douleur informatisée Automatique Par Les Applications Informatiques hospitalières Des HUG Pour prédire l'Apparition de Douleurs Chroniques Post opératoires

Status Terminated

Clinical Trial 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.

Clinical Trial Description

The primary aim of the study is to confirm that the sensitivity of the automatic alert is at least 80%, i.e. that 80% of patients with the primary outcome had an automatic alert.

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. ;

Related Conditions & MeSH terms

• Pain, Postoperative

• NCT number: NCT03164954
• Study type: Observational
• Source: University Hospital, Geneva
• Status: Terminated
• Start date: July 1, 2017
• Completion date: June 1, 2021