Identifying Pediatric Severe Sepsis and Septic Shock: Accuracy of Diagnosis Codes

Fran Balamuth1, Scott L Weiss1, Matt Hall2

  • 1Children's Hospital of Philadelphia, Philadelphia, PA.

The Journal of Pediatrics
|October 17, 2015
PubMed

Insights

Sepsis-specific ICD codes accurately identify pediatric severe sepsis in administrative data. This method is more effective than using combined infection and organ dysfunction codes for identifying pediatric sepsis cases.

Area of Science:

  • Pediatric critical care medicine
  • Health informatics
  • Epidemiology

Background:

  • Accurate identification of pediatric sepsis is crucial for timely intervention and improved outcomes.
  • Administrative data, particularly International Classification of Diseases (ICD) codes, are often used for case ascertainment.
  • Established methods for identifying sepsis using administrative codes require validation against a reference standard.

Purpose of the Study:

  • To evaluate the accuracy of two administrative methods for identifying pediatric severe sepsis.
  • To compare the performance of sepsis-specific ICD codes versus a combination of infection and organ dysfunction codes.

Main Methods:

  • A multicenter retrospective study involving 6 US children's hospitals.
  • Children aged >60 days to <19 years were analyzed.
  • Reference standard severe sepsis was determined by consensus criteria, with comparison to ICD codes (sepsis codes vs. combination codes).

Main Results:

  • Out of 432 subjects, 130 met the reference standard for severe sepsis.
  • Sepsis codes demonstrated a sensitivity of 73% and specificity of 92%.
  • Combination codes had lower performance, with a sensitivity of 15% and specificity of 71%.

Conclusions:

  • Sepsis-specific ICD codes are more accurate in identifying pediatric severe sepsis in administrative data.
  • The findings support the use of sepsis-specific codes for administrative case identification in pediatric populations.
  • Further refinement by including codes for sepsis therapies may offer slight improvements in case identification accuracy.
Abstract

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