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Validation of a Risk Assessment Model for Postoperative Delirium Based on Artificial Intelligence

NCT05639348 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 993

Last updated 2024-12-18

No results posted yet for this study

Summary

Postoperative delirium (POD) is a frequent postoperative complication in the elderly, characterised by fluctuating disturbances in attention, awareness, and cognition. Identifying the patients at highest risk of developing POD was the aim of the artificial intelligence (AI)-based algorithm PIPRA. This prospective cohort study is to externally validate the AI-based PIPRA algorithm. The primary endpoint is the performance (AUC) of the PIPRA algorithm in predicting POD. The secondary endpoint is the performance (AUC) of the clinicians in predicting POD (and how it compares with the performance of the PIPRA algorithm).

Conditions

  • Postoperative Delirium (POD)

Interventions

OTHER

Data collection on POD for calculation of the PIPRA score

Data collection for presence of POD as diagnosed by the 4 "A" Tests (4AT) or the Intensive Care Delirium Screening Checklist (ICDSC). The collected data will be used to validate the existing PIPRA algorithm and to improve the algorithm and evaluate it in a cross-validation setting. For the model validation the area under the receiver operating characteristics (ROC) curve (AUC) will be computed.

Sponsors & Collaborators

  • Innosuisse - Swiss Innovation Agency

    collaborator OTHER

  • University Hospital, Basel, Switzerland

    lead OTHER

Principal Investigators

  • Luzius Steiner, Prof. Dr. med. · University Hospital Basel, Department of Anaesthesiology

Eligibility

Min Age
60 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-11-21
Primary Completion
2024-06-15
Completion
2024-06-15

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 NCT05639348 on ClinicalTrials.gov