A Learning and Interoperable, Smart Clinical Decision Support System for the pediatric intensive care unit (ELISE) – preparation work for the work package 4: A retrospective evaluation of the predictive model in comparison to the real time assessment of clinicians
- Conditions
- D77R65A41Acute renal failure, unspecifiedShock, unspecifiedOther disorders of blood and blood-forming organs in diseases classified elsewhereSystemic Inflammatory Response Syndrome [SIRS]Other sepsisN17.9R57.9
- Registration Number
- DRKS00029071
- Lead Sponsor
- Klinik für Pädiatrische Kardiologie und Pädiatrische Intensivmedizin, Medizinische Hochschule Hannover
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Complete
- Sex
- All
- Target Recruitment
- 575
Inclusion Criteria
Included will be all patients who were admitted to the ward of the Pediatric Cardiology and Pediatric Intensive Care Unit of the Hannover Medical School, Germany, under the condition that the admission lasted for at least 12 hours and that a written informed consent for the study participation for the patients was issued by their legal guardians or their legal representatives.
Exclusion Criteria
Excluded will be all patients who were admitted to the ward of the Pediatric Cardiology and Pediatric Intensive Care Unit of the Hannover Medical School, Germany, of less than 12 hours and/or for whom no written informed consent was issued by their legal guardians or their legal representatives.
Study & Design
- Study Type
- observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Estimation of sensitivity and specificity of the predictive model to correctly classify the presence of SIRS, sepsis, or other organ dysfunction/failure.
- Secondary Outcome Measures
Name Time Method Superiority of the diagnostic accuracy of the predictive model in comparison to the real-time evaluation of clinicians.