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Palliative Sedation Therapy in Pediatrics: An Algorithm and Clinical Practice Update
Andrea Cuviello1, Liza-Marie Johnson1, Kyle J Morgan2
1St. Jude Children's Research Hospital, Memphis, TN 38105, USA.
Insights
Palliative sedation therapy (PST) helps pediatric patients with severe end-of-life suffering. This study provides an algorithm and guideline to improve PST use and symptom management.
Area of Science:
- Pediatric Palliative Care
- Clinical Practice Guidelines
- End-of-Life Care
Background:
- Palliative sedation therapy (PST) is crucial for pediatric patients experiencing refractory symptoms during the end-of-life (EOL) period.
- Underutilization of PST may stem from variations in implementation, limited data in non-ICU settings, and educational gaps.
- Standardized approaches are needed to optimize PST delivery.
Purpose of the Study:
- To develop a clinical algorithm for identifying appropriate pediatric patients for PST.
- To present a guideline for PST implementation adaptable to different clinical settings.
- To facilitate the integration of PST into EOL care through case-based scenarios.
Main Methods:
- Development of a clinical algorithm for PST patient selection.
- Creation of a flexible guideline for PST implementation.
- Inclusion of case-based scenarios to illustrate practical application.
Main Results:
- The proposed algorithm ensures all symptom management modalities are considered before PST.
- The guideline offers a framework for individualized PST implementation based on institutional resources.
- Case studies demonstrate the practical application of the algorithm and guideline in EOL settings.
Conclusions:
- A structured approach can improve the appropriate utilization of PST in pediatric EOL care.
- The provided algorithm and guideline support consistent and individualized PST practices.
- Enhanced education and standardized protocols are essential for optimizing PST for suffering pediatric patients.
Abstract:
Palliative sedation therapy (PST) is an important clinical intervention for pediatric patients with refractory symptoms and suffering during the end-of-life (EOL) period. Variations in PST implementation including medication selection, limited literature regarding feasibility in various clinical settings, particularly non-intensive care units, and lack of education on evolving definitions and ideal practices may all contribute to the current underutilization of this valuable resource. We therefore offer a clinical algorithm for identifying appropriate patients for PST, ensuring all other modalities for symptom management have been considered and/or optimized, and present a guideline for PST implementation that can be adapted and individualized based on institutional experience and resource availability. Furthermore, through case-based clinical scenarios, we demonstrate how to incorporate this algorithm into EOL practice.
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