Hidden Burden of Electronic Health Record-Identified Familial Hypercholesterolemia: Clinical Outcomes and Cost of Medical Care

J Am Heart Assoc. 2019 Jul 2;8(13):e011822. doi: 10.1161/JAHA.118.011822. Epub 2019 Jun 29.

Abstract

Background Familial hypercholesterolemia ( FH ), is a historically underdiagnosed, undertreated, high-risk condition that is associated with a high burden of cardiovascular morbidity and mortality. In this study, we use a population-based approach using electronic health record ( EHR )-based algorithms to identify FH . We report the major adverse cardiovascular events, mortality, and cost of medical care associated with this diagnosis. Methods and Results In our 1.18 million EHR- eligible cohort, International Classification of Diseases, Ninth Revision ( ICD -9) code-defined hyperlipidemia was categorized into FH and non- FH groups using an EHR algorithm designed using the modified Dutch Lipid Clinic Network criteria. Major adverse cardiovascular events, mortality, and cost of medical care were analyzed. A priori associated variables/confounders were used for multivariate analyses using binary logistic regression and linear regression with propensity score-based weighted methods as appropriate. EHR FH was identified in 32 613 individuals, which was 2.7% of the 1.18 million EHR cohort and 13.7% of 237 903 patients with hyperlipidemia. FH had higher rates of myocardial infarction (14.77% versus 8.33%; P<0.0001), heart failure (11.82% versus 10.50%; P<0.0001), and, after adjusting for traditional risk factors, significantly correlated to a composite major adverse cardiovascular events variable (odds ratio, 4.02; 95% CI, 3.88-4.16; P<0.0001), mortality (odds ratio, 1.20; CI, 1.15-1.26; P<0.0001), and higher total revenue per-year (incidence rate ratio, 1.30; 95% CI, 1.28-1.33; P<0.0001). Conclusions EHR -based algorithms discovered a disproportionately high prevalence of FH in our medical cohort, which was associated with worse outcomes and higher costs of medical care. This data-driven approach allows for a more precise method to identify traditionally high-risk groups within large populations allowing for targeted prevention and therapeutic strategies.

Keywords: familial hypercholesterolemia; major adverse cardiovascular events; mortality; subclinical atherosclerosis risk factor; subclinical familial hypercholesterolemia.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Algorithms
  • Cholesterol / blood
  • Cholesterol, HDL / blood
  • Cholesterol, LDL / blood
  • Electronic Health Records
  • Female
  • Health Care Costs*
  • Heart Failure / economics
  • Heart Failure / epidemiology*
  • Humans
  • Hypercholesterolemia / blood
  • Hypercholesterolemia / economics
  • Hypercholesterolemia / epidemiology
  • Hypercholesterolemia / therapy
  • Hyperlipoproteinemia Type II / blood
  • Hyperlipoproteinemia Type II / economics
  • Hyperlipoproteinemia Type II / epidemiology*
  • Hyperlipoproteinemia Type II / therapy
  • Male
  • Middle Aged
  • Mortality*
  • Myocardial Infarction / economics
  • Myocardial Infarction / epidemiology*
  • Myocardial Revascularization / statistics & numerical data
  • Netherlands / epidemiology
  • Odds Ratio
  • Prevalence
  • Stroke / epidemiology
  • Triglycerides / blood
  • Undiagnosed Diseases / economics
  • Undiagnosed Diseases / epidemiology

Substances

  • Cholesterol, HDL
  • Cholesterol, LDL
  • Triglycerides
  • Cholesterol