Validation of coding algorithms for the identification of herpes zoster among children

Beth H Rutstein1,2, Sabrina Gmuca1,2,3,4, Jeffrey S Gerber2,4,5

  • 1Department of Pediatrics, Division of Rheumatology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.

Insights

Electronic health record algorithms using International Classification of Diseases, 10th Revision, (ICD-10) codes accurately identify pediatric herpes zoster (HZ). This supports future research into HZ risk factors in children.

Area of Science:

  • Pediatric Health
  • Epidemiology
  • Health Informatics

Background:

  • Herpes zoster (HZ) is a viral infection.
  • Accurate identification of HZ cases in electronic medical records (EMRs) is crucial for research.
  • International Classification of Diseases, 10th Revision, (ICD-10) codes are used for diagnosis in EMRs.

Purpose of the Study:

  • To validate ICD-10 code-based algorithms for identifying herpes zoster (HZ) in pediatric electronic medical records (EMRs).
  • To analyze the demographics and chronic comorbidities associated with HZ in a pediatric population.

Main Methods:

  • Retrospective review of pediatric patient EMRs with ICD-10 codes for HZ (B02.xx) from January 2010 to March 2019.
  • Calculation of the positive predictive value (PPV) for a single ICD-10 code for HZ.
  • Examination of alternative algorithms, including adding rash codes and antiviral prescriptions, to improve PPV.

Main Results:

  • A single ICD-10 code for HZ demonstrated a high PPV (91.7%) for definitive and/or probable cases.
  • Adding a rash code within one week of the HZ code increased PPV to 100% for probable/definitive cases, but reduced sensitivity.
  • Children hospitalized for HZ frequently had chronic diseases (70%) and were on immunomodulatory therapy (50%).

Conclusions:

  • ICD-10 code-based algorithms can reliably identify pediatric herpes zoster in EMRs.
  • These findings provide a basis for pharmacoepidemiologic studies on HZ risk factors in children.
Abstract

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