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The purpose of this study is to introduce delirium detection and try to determine the prevalence of delirium in Pediatric Intensive Care Unit (PICU) using a validated tool : the Cornell Assessment of Pediatric Delirium (CAPD) for every patient twice a day.
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Delirium is a frequent affection in ICU. In adult population, its prevalence is 20-50% in non intubated patients and 60-80% in patients under invasive ventilation. It is also frequent in paediatric population, but less diagnosed, whereas it can lead to higher duration stay, higher morbidity, traumatic injuries, acute stress, memory losses and post-traumatic stress syndrome. Since 2016, international guidelines recommend to look for delirium in paediatric population in PICU. There are 3 recommended tools to diagnose this affection: psCAM-ICU (6 months-5 years old), pCAM-ICU (5 years old-18 years old) and CAPD (birth-18 years old).
None of these validated tools have been translated in French.
The principal objective is to study the practicability of twice a day detection of delirium in PICU using the CAPD.
Investigators will first used a validation process to translate the CAPD in French, based on the validation method for psychological questionnaires suggested by Vallerand.
Then they will ask the paramedics to evaluate through the CAPD every consecutive patient/12 hours, every day during their stay in PICU, except for those completely unresponsive or under curare. This systematic evaluation will take place for 2 consecutive months.
For every patient, data will be collected about their age, sexe, term of birth, mental affection status, diagnosis at entry, and daily risk of mortality score, length of stay, ventilation, pain evaluation and treatment, withdrawal evaluation, surroundings, use of hypnotic treatment, steroids, opioids and ketamine.
The secondary aims are to determine the prevalence of delirium with the data collected, to ask whether or not the French version of CAPD has been easily and correctly used, can help to diagnose delirium, and whether investigators can find some associated parameters to delirium.
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Data sourced from clinicaltrials.gov
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