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Development and Validation of Claims-Based Algorithms for Conjunctivitis and Keratitis.

Andrea K Chomistek1, Jessica M Franklin1, Rachel E Sobel2

  • 1Optum Epidemiology, Boston, Massachusetts, USA.

Pharmacoepidemiology and Drug Safety
|November 13, 2024
PubMed
Summary
This summary is machine-generated.

Validated algorithms can now identify conjunctivitis and keratitis in atopic dermatitis (AD) patients using claims data. These tools will aid future research into ocular surface disorders in AD populations.

Keywords:
ICD‐10 codeatopic dermatitisclaims dataocular surface disorders

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Area of Science:

  • Ophthalmology
  • Dermatology
  • Health Informatics

Background:

  • Ocular surface disorders are common in patients with atopic dermatitis (AD).
  • Validated algorithms for identifying conjunctivitis and keratitis in AD patients using claims data are currently lacking.
  • Accurate identification is crucial for understanding disease burden and treatment outcomes.

Purpose of the Study:

  • To develop and validate algorithms for identifying conjunctivitis and keratitis in patients with atopic dermatitis (AD) using health insurance claims data.
  • To establish reliable methods for detecting these specific ocular conditions within large patient populations.

Main Methods:

  • Patients with AD were identified in a claims database (March 2017-November 2019).
  • Candidate algorithms combining diagnosis codes and ophthalmic treatments were developed.
  • Medical records of selected patients were reviewed for validation, with positive predictive values (PPVs) calculated.

Main Results:

  • A conjunctivitis algorithm achieved a PPV of 81% (95% CI: 73%-87%).
  • A keratitis algorithm, combining diagnosis codes with specific ophthalmic treatments, achieved an overall PPV of 80% (95% CI: 55%-93%).
  • These algorithms met the pre-specified threshold of ≥70% PPV.

Conclusions:

  • The study successfully developed and validated the first claims-based algorithms for conjunctivitis and keratitis in patients with atopic dermatitis (AD).
  • These validated algorithms are now available for future research to better understand the prevalence and impact of these ocular conditions in AD patients.