Perioperative Risk Calculator (PROTECT)

Technical University of Munich

Status

Active, not recruiting

Conditions

Perioperative/Postoperative Complications

Study type

Observational

Funder types

Other

Identifiers

NCT04092933

253/19

Details and patient eligibility

About

The aim of this project is to develop a machine-learning model for calculating the risk of postoperative complications. In addition to the data collected during the premedication, the model will include all intraoperative values recorded in the Patient Data Management System (PDMS), which include not only vital and respiratory parameters, but also medication and doses, intraoperative events and times. Postoperative complications are defined according to their severity according to the Clavien-Dindo score (Dindo, Demartines et al., 2004) and are collected from the data available in the health information system (HIS).

The machine-learning model is created using an extreme-gradient boosting algorithm which has been updated with new data from the year 2021 to ensure accuracy of the model.

Enrollment

175,559 patients

Sex

All

Volunteers

No Healthy Volunteers

Inclusion criteria