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

NCT06011590 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 150000

Last updated 2023-08-25

No results posted yet for this study

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

OTHER

No intervention.

No intervention.

Sponsors & Collaborators

  • Medical University Innsbruck

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2000-01-01
Primary Completion
2022-07-31
Completion
2022-07-31

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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 NCT06011590 on ClinicalTrials.gov