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Diagnostic considerations regarding pediatric delirium: a review and a proposal for an algorithm for pediatric
Jan N M Schieveld1, Judith A van der Valk, Inge Smeets
1Division of Child and Adolescent Psychiatry, Department of Psychiatry and Psychology, European Graduate School of Neuroscience, SEARCH, Maastricht University Medical Centre, 6202 AZ Maastricht, The Netherlands. jan.schieveld@mumc.nl
Insights
Pediatric delirium (PD) is often under-diagnosed in intensive care units. This study proposes a new diagnostic algorithm to aid recognition and management of PD in pediatric patients.
Area of Science:
- Pediatric critical care medicine
- Neuroscience
- Psychiatry
Background:
- Delirium is frequently under-diagnosed in pediatric intensive care units (PICU).
- Lack of diagnosis hinders efforts to reverse delirium.
- Validated tools are needed for delirium recognition in children.
Purpose of the Study:
- To relate pediatric delirium (PD) presentations to standard criteria.
- To develop a diagnostic algorithm for PD.
- To improve the recognition and management of PD in PICU.
Main Methods:
- Evaluation of sedation-agitation levels in PICU patients.
- Psychometric assessment of patient behavior.
- Incorporation of caregiver opinions into the diagnostic process.
Main Results:
- Delirium-inducing factors, consciousness disturbances, and inattention are common in PICU patients.
- A pre-delirious state is present in most PICU patients.
- A novel diagnostic algorithm integrating sedation, behavior, and caregiver input was developed.
Conclusions:
- This is the first proposed diagnostic algorithm for pediatric delirium.
- Daily evaluation is mandatory due to the high prevalence of pre-delirious states.
- Further refinement of the algorithm, potentially including neurocognitive measures, is needed.
Context:
If delirium is not diagnosed, it is unlikely that any effort will be made to reverse it. Given evidence for under-diagnosis, tools that aid recognition are required.
Objective:
Relating three presentations of pediatric delirium (PD) to standard criteria and developing a diagnostic algorithm.
Results:
Delirium-inducing factors, disturbance of consciousness and inattention are common in PICU patients: a pre-delirious state is present in most. An algorithm is introduced, containing (1) evaluation of the sedation-agitation level, (2) psychometric assessment of behavior and (3) opinion of the caregivers.
Discussion:
It may be argued that the behavioral focus of the algorithm would benefit from the inclusion of neurocognitive measures.
Limitations:
No sufficiently validated diagnostic instrument covering the entire algorithm is available yet.
Conclusion:
This is the first proposal for a PD diagnostic algorithm. Given the high prevalence of predelirious states at the PICU, daily evaluation is mandatory. Future algorithmic refinement is urgently required.
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