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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT04661735
Other study ID # ICURS
Secondary ID
Status Recruiting
Phase
First received
Last updated
Start date January 1, 2006
Est. completion date December 31, 2025

Study information

Verified date September 2023
Source Charite University, Berlin, Germany
Contact Felix Balzer, Prof
Email data-science@charite.de
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial 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.


Description:

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Study Design


Related Conditions & MeSH terms


Locations

Country Name City State
Germany Charite Universtitaetsmedizin Berlin

Sponsors (1)

Lead Sponsor Collaborator
Charite University, Berlin, Germany

Country where clinical trial is conducted

Germany, 

Outcome

Type Measure Description Time frame Safety issue
Primary Prediction of patient outcome Identification of scores with a high on impact mortality, complications and length of stay in the intensive care unit 2006 - 2023
Secondary Predictive model for alarm load Identification of items leading to a high alarm load measured by number of alarm per day per bed in the intensive care unit 2020 - 2023
Secondary Predictive model for actionable alarms Identification of items leading to a high number of actionable alarms measured by number of actionable alarms per day per bed in the intensive care unit 2020 - 2023
See also
  Status Clinical Trial Phase
Completed NCT04994600 - Design and Validation of a German Language Questionnaire for Measuring Alarm Fatigue in Intensive Care Units
Not yet recruiting NCT06403397 - Assessing the Impact of Monitor Maintenance Package Utilization N/A