Improving ICU risk scoring for better patient outcomes
Retrospective Analysis - Scoring Systems in Intensive Care Medicine
This study is trying to see if using advanced computer techniques can make ICU risk scores more accurate to help doctors better predict patient outcomes after surgery.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 60000 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | Charite University, Berlin, Germany Academic / other |
| Locations | 1 site (Berlin) |
| Trial ID | NCT04661735 on ClinicalTrials.gov |
What this trial studies
This project involves a retrospective analysis of digital patient files from the Department of Anaesthesiology and Surgical Intensive Care Medicine to enhance the predictive accuracy of intensive care scoring systems. By employing machine learning and time series analysis, the study aims to continuously calculate scores related to perioperative mortality and morbidity. The goal is to determine if these advanced methods can improve existing scoring systems that have been traditionally used in intensive care settings.
Who should consider this trial
Good fit: Ideal candidates for this study are patients admitted to the ICU between January 1, 2006, and September 30, 2023.
Not a fit: Patients under 18 years of age, those with incomplete records, or those who stayed in the ICU for less than 24 hours may not benefit from this study.
Why it matters
Potential benefit: If successful, this study could lead to more accurate predictions of patient outcomes in intensive care units, potentially improving patient management and treatment strategies.
How similar studies have performed: Previous studies have shown that continuous calculation of scoring systems can enhance predictive accuracy, indicating a promising approach for this study.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: - Patients with admission between 01.01.2006 and 30.09.2023 Exclusion Criteria: * Patients under 18 years of age. * Incomplete patient records. * Intensive stay of less than 24 hours.
Where this trial is running
Berlin
- Charite Universtitaetsmedizin — Berlin, Germany (Recruiting)
Study contacts
- Principal investigator: Felix Balzer, Prof — Charite University, Berlin, Germany
- Study coordinator: Felix Balzer, Prof
- Email: data-science@charite.de
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.