Intensive Care Unit Risk Score
NCT04661735 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 60000
Last updated 2023-09-08
Summary
Subject of the planned project is the retrospective analysis of routine data of digital patient files of the Department for Anaesthesiology and Surgical Intensive Care Medicine, to test whether the predictive values of intensive care scoring systems with regard to perioperative mortality and morbidity can be improved by continuous score calculation and by using machine learning and time series analysis methods.
Conditions
- Mortality in Intensive Care Units
- Complications Infection
- Alarm Fatigue
Sponsors & Collaborators
-
Charite University, Berlin, Germany
lead OTHER
Principal Investigators
-
Felix Balzer, Prof · Charite University, Berlin, Germany
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2006-01-01
- Primary Completion
- 2025-09-30
- Completion
- 2025-12-31
Countries
- Germany
Study Locations
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