NCT06011590

QRS Microfragmentation in ECG as Predictor of Mortality and Morbidity - a Retrospective Analysis

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 150,000 (actual)
• Sponsor: Medical University Innsbruck · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Accepted

Summary

Over the past decades, several ECG-based parameters have been identified as independent predictors of worsened prognosis in affected patients. In addition to visual assessment of morphology, methods of computer-based machine ECG analysis have gained importance in recent years. These methods allow the detection of systemic abnormalities in ECGs that are not visible to the naked eye. An example of this is provided by the so-called "QRS microfragmentations". The aim of this evaluation is to retrospectively collect all established as well as new quantitative and qualitative ECG parameters (such as QRS microfragmentation) in a large patient collective. Subsequently, after characterization of the patients, an independent multivariate risk prediction model should be developed based on computer-based ECG analysis using maschnine learning algorithms.

Conditions

• Risk Stratification

Interventions

Type	Name	Description
OTHER	No intervention.	No intervention.

Timeline

• Start date: 2000-01-01
• Primary completion: 2022-07-31
• Completion: 2022-07-31
• First posted: 2023-08-25
• Last updated: 2023-08-25