Utility of ICD Codes for Stress Cardiomyopathy in Hospital Administrative Databases: What Do They Signify?

Anusha G Bhat1,2, Kevin White1, Kyle Gobeil1

  • 1Department of Medicine, University of Massachusetts Medical School, Baystate Medical Center, Springfield, Massachusetts.

Insights

International Classification of Diseases (ICD) codes accurately identify stress cardiomyopathy (SCM) patients in databases, but some cases lack active symptoms, and diagnostic workups are inconsistent. Researchers should consider these limitations.

Area of Science:

  • Cardiology
  • Medical Informatics

Background:

  • Administrative databases are crucial for medical research.
  • International Classification of Diseases (ICD) codes are frequently used to identify patients with specific conditions, such as stress cardiomyopathy (SCM).
  • The accuracy and completeness of ICD code-based SCM identification in administrative data require validation.

Purpose of the Study:

  • To evaluate the validity of International Classification of Diseases (ICD) codes for identifying patients with stress cardiomyopathy (SCM) in administrative databases.
  • To assess the clinical presentation and diagnostic workup of SCM patients identified via ICD codes.

Main Methods:

  • Retrospective chart review of patients discharged with an ICD code for SCM between 2010 and 2016.
  • Calculation of the positive predictive value (PPV) of ICD codes for SCM diagnosis.
  • Analysis of clinical manifestations and diagnostic procedures (cardiac catheterization, echocardiography) in identified SCM patients.

Main Results:

  • A high positive predictive value (98%) was found for ICD codes in identifying SCM.
  • A small proportion (6.4%) of patients with an SCM ICD code did not present with active clinical manifestations during hospitalization.
  • Inconsistent diagnostic workup was observed, with only 66.8% undergoing cardiac catheterization and 91.5% undergoing echocardiography.

Conclusions:

  • ICD codes are largely accurate for identifying SCM diagnoses in administrative databases.
  • Limitations include the presence of chronic SCM cases and incomplete diagnostic workups in some patients.
  • Researchers utilizing administrative data for SCM studies must be aware of these potential biases and limitations.

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