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Creation of a Pediatric Sedation Risk Assessment Scoring System: A Novel Method to Stratify Risk.

Kevin G Couloures1, Michael P Anderson2, C L Hill3

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A new pediatric sedation scoring system predicts adverse events, aiding objective patient stratification and resource allocation. This score is independent of the American Society of Anesthesiologists Physical Status (ASA-PS) classification.

Keywords:
adverse eventspediatric procedural sedationrisk stratification

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Area of Science:

  • Pediatric Anesthesiology
  • Medical Informatics
  • Patient Safety

Background:

  • Current pediatric sedation risk assessment often relies on the American Society of Anesthesiologists Physical Status (ASA-PS) classification.
  • There is a need for a more objective and predictive scoring system for pediatric sedation adverse events.
  • Effective stratification and resource allocation are crucial for safe pediatric sedation practices.

Purpose of the Study:

  • To develop a novel pediatric sedation scoring system.
  • To create a tool that is independent of the ASA-PS classification.
  • To predict adverse events, facilitate objective patient stratification, and guide resource allocation in pediatric sedation.

Main Methods:

  • Analysis of 134,973 pediatric sedation encounters from the Pediatric Sedation Research Consortium (PSRC) database (July 2007 - June 2011).
  • Multivariable regression and machine learning algorithms were used to identify patient and procedural variables correlated with adverse events.
  • A risk assessment score was developed by assigning point values to identified factors, validated using subsequent PSRC data (2011-2013).

Main Results:

  • Key factors identified for risk scoring include age, specific diagnoses (cardiac, asthma), weight percentiles, and procedural types (CT, MRI, EGD, bronchoscopy).
  • Higher total risk assessment scores correlated with an increased likelihood of adverse events during sedation.
  • The developed scoring system demonstrated predictive value for adverse events, with specific cut-off scores offering varying sensitivity and specificity.
  • Inclusion of ASA-PS classification did not enhance the model's predictive performance.

Conclusions:

  • A new pediatric sedation scoring system effectively predicts adverse events and can be used independently of ASA-PS.
  • This scoring system allows for objective patient stratification and can inform site-specific resource allocation decisions.
  • The validated risk assessment score offers a valuable tool for improving the safety and efficiency of pediatric sedation.