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Updated: Sep 20, 2025

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
Published on: February 13, 2021
Validation of international classification of diseases, tenth revision, clinical modification diagnosis codes for
Gaia Pocobelli1, Laura Ichikawa1, Onchee Yu1
1Kaiser Permanente Washington Health Research Institute, Washington, District of Columbia, USA.
Insights
International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes for heart failure (HF) may not be sufficient for identifying reduced ejection fraction HF. However, these codes show adequacy in identifying preserved ejection fraction HF.
Area of Science:
- Cardiology
- Health Informatics
Background:
- Accurate identification of heart failure (HF) subtypes is crucial for effective patient management and research.
- International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes are widely used for clinical data abstraction, but their accuracy for specific HF phenotypes requires validation.
Purpose of the Study:
- To evaluate the positive predictive value (PPV) of ICD-10-CM diagnosis codes for identifying different subtypes of heart failure.
- To determine the adequacy of ICD-10-CM codes for classifying patients with reduced ejection fraction (rEF), mid-range ejection fraction (mEF), and preserved ejection fraction (pEF).
Main Methods:
- A cohort of Kaiser Permanente Washington enrollees with ICD-10-CM HF diagnosis codes and echocardiogram data between 2017-2018 was analyzed.
- Left ventricular ejection fraction (LVEF) from medical chart review served as the gold standard for HF subtype classification.
- A random sample of 1000 patients was selected for detailed medical chart review to ascertain LVEF.
Main Results:
- The ICD-10-CM code group I50.20-I50.23 (Systolic heart failure) had the highest PPV for rEF (41.4%) and for mEF or rEF (70.2%).
- The ICD-10-CM code group I50.30-I50.33 (Diastolic heart failure) demonstrated the highest PPV for pEF (92.0%) and for mEF or pEF (97.7%).
Conclusions:
- ICD-10-CM codes alone may not be sufficiently accurate for identifying patients with reduced ejection fraction heart failure.
- These codes appear adequate for identifying patients with preserved ejection fraction heart failure.
- Variations in HF coding practices across different healthcare settings may influence the generalizability of these findings.
Purpose:
To estimate the positive predictive value (PPV) of International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) diagnosis codes for identifying HF subtypes.
Methods:
We validated ICD-10-CM HF diagnosis codes among Kaiser Permanente Washington enrollees who were ≥18 years of age and had an ICD-10-CM HF diagnosis code during 2017-2018 and a procedure code for an echocardiogram in the 12 months before through 6 months after the HF code. Left ventricular ejection fraction (LVEF) ascertained from medical chart review was used as the gold standard for classifying patients as having reduced ejection fraction (rEF), mid-range ejection fraction (mEF), or preserved ejection fraction (pEF).
Results:
Among 6194 eligible patients, we randomly sampled 1000 for medical chart review. A total of 974 patients had LVEF information in their chart. The ICD-10-CM HF code group with the highest PPV for rEF was I50.20-I50.23, "Systolic (congestive) heart failure," PPV = 41.4% (95% CI, 34.5-48.7%); and the highest PPV for mEF or rEF was also I50.20-I50.23, PPV = 70.2% (95% CI, 63.1-76.4%). The highest PPV for pEF was the I50.30-I50.33 group, "Diastolic (congestive) heart failure," PPV = 92.0% (95% CI, 88.1-94.7%); and the highest PPV for mEF or pEF was also I50.30-I50.33, PPV = 97.7% (95% CI, 95.1-99.0%).
Conclusions:
If the accuracy measure of greatest interest is PPV, our results suggest that ICD-10-CM HF codes alone may not be adequate for identifying patients with rEF but may be adequate for identifying patients with pEF. HF coding practices may vary across settings, which may impact generalizability of our findings.
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