Analysis of Adverse Events in Anesthesia Using Artificial Intelligence

NCT05185479 | Completed

• 1 other identifier: 8505
• Study Type: observational
• Target: 9,559
• Locations: 1 country
• Sites: 1

Brief Summary

The interest of health databases in anesthesia is no longer to be demonstrated. The aim of this research was to develop a natural language processing approach to establish a classification of adverse events observed during the perioperative period and to facilitate their analysis: The main objective of the study was to identify what a "naïve" unsupervised model would discover based on Adverse Event (AE) descriptions. Our second goal was to identify apparently unrelated events whose combination could favor the occurrence of an AE

Conditions

Allergic Reaction

Keywords

Allergic Reaction; Adverse events; Health database; Natural Language Processing

Outcome Measures

Primary Outcomes (1)

• Development of a natural language processing approach to establish a classification of adverse events observed during the perioperative period and to facilitate their analysis.

  The aim of this research was to develop a natural language processing approach to establish a classification of adverse events observed during the perioperative period and to facilitate their analysis: The main objective of the study was to identify what a "naïve" unsupervised model would discover based on Adverse Event (AE) descriptions. Our second goal was to identify apparently unrelated events whose combination could favor the occurrence of an AE

  Files analysed retrospectively from January 01, 2009 to June 30, 2020 will be examined]

Eligibility Criteria

• Age: 1 Year+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Child (0-17), Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Minors and adults having had an allergic reaction associated with care, and having had an adverse event reported by an anesthetist between January 01, 2009 and June 30, 2020

You may qualify if:

• Minors and adults having had an allergic reaction associated with care
• Having had an adverse event reported by an anesthetist between January 01, 2009 and June 30, 2020

Sponsors & Collaborators

• University Hospital, Strasbourg, France: lead

Study Sites (1)

Service d'Anesthésie et Réanimation chirurgicale - CHU de Strasbourg - France

Strasbourg, 67091, France

Location

Related Publications (1)

• Mertes PM, Morgand C, Barach P, Jurkolow G, Assmann KE, Dufetelle E, Susplugas V, Alauddin B, Yavordios PG, Tourres J, Dumeix JM, Capdevila X. Validation of a natural language processing algorithm using national reporting data to improve identification of anesthesia-related ADVerse evENTs: The "ADVENTURE" study. Anaesth Crit Care Pain Med. 2024 Aug;43(4):101390. doi: 10.1016/j.accpm.2024.101390. Epub 2024 May 6.

  PMID: 38718923 DERIVED

MeSH Terms

Conditions

Hypersensitivity

Condition Hierarchy (Ancestors)

Immune System Diseases

Study Officials

• Paul-Michel MERTES, MD, PhD

  Service d'Anesthésie et Réanimation chirurgicale - CHU de Strasbourg - France

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: CASE ONLY
• Time Perspective: RETROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: December 22, 2021
• First Posted: January 11, 2022
• Study Start: November 12, 2020
• Primary Completion: October 12, 2021
• Study Completion: November 12, 2021
• Last Updated: December 12, 2023

Record last verified: 2023-12

Locations

FR (1)