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Construction and Validation of a Tool for Automatic Identification of Care Pathways at Risk of Sub-optimality in the Management of Severe Infections in Children (DIABACT IV) — DIABACT IV  

Severe Infection Clinical Trial

Official title:
Construction and Validation of a Tool for Automatic Identification of Care Pathways at Risk of Sub-optimality in the Management of Severe Infections in Children (DIABACT IV)

Clinical Trial Summary

Community bacterial infection remains to this day a common cause of morbidity and mortality in children, which preventability is a challenge for clinicians. In a previous work, the investigators found that 76% supported children admitted to the ICU for severe bacterial infection were appraised as suboptimal and significantly associated with an increased risk of death. In this context, the investigators seek to identify indicators of extractable data PMSI and SNIIR -AM associated with a higher risk of suboptimal early taking care of children with severe bacterial infection in order to combine them and use them as a score or decision tree that the investigators will validate data from a national prospective multicenter study including 512 children admitted to the ICU for severe infection. The investigators then propose a score associated with a risk of suboptimality care to evaluate the performance of the healthcare system .

Clinical Trial Description

n/a

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT02167802
Study type Observational
Source Nantes University Hospital
Contact Christèle Gras Le Guen, Pr
Phone 02.40.08.76.71
Status Recruiting
Phase
Start date March 20, 2015
Completion date December 31, 2023
View Details
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