The Integrated Multidisciplinary Pathway for Large-Scale Management of Dyslipidemia in High-Risk Patients (ENNA)

Federica Agnello1, Calogero Russo2, Giulia Laterra1

  • 1Università degli Studi di Enna "Kore," Enna, Italy; Division of Cardiology, Ospedale Umberto I, ASP 4 di Enna, Enna, Italy.

PubMed

Insights

The ENNA Project improved low-density lipoprotein cholesterol (LDL-C) control in high-risk patients through integrated care. This multidisciplinary approach enhanced lipid management and patient adherence to therapy, reducing cardiovascular event risk.

Area of Science:

  • Cardiology
  • Public Health
  • Pharmacology

Background:

  • Atherosclerotic cardiovascular disease (ASCVD) is a major global health burden.
  • Hypercholesterolemia is a key modifiable risk factor for ASCVD.
  • Suboptimal management of low-density lipoprotein cholesterol (LDL-C) contributes to high cardiovascular event rates despite available therapies.

Purpose of the Study:

  • To address suboptimal lipid management in high-risk patients in Enna, Sicily.
  • To optimize LDL-C control through an integrated, multidisciplinary care model.
  • To increase the achievement of LDL-C target levels in high-risk populations.

Main Methods:

  • The intEgrated multidiscipliNary pathway for large-scale maNagement of dyslipidemiA in high-risk patients (ENNA) Project utilized data-driven patient identification (prescription claims, lab results, discharge data).
  • Collaboration between pharmacists, general practitioners (GPs), and cardiologists was central to the care model.
  • GPs initiated/optimized lipid-lowering therapy, while cardiologists managed complex cases.

Main Results:

  • The ENNA Project aimed to improve LDL-C control and therapeutic adherence in high-risk patients.
  • The integrated care model facilitated a patient-centered approach to dyslipidemia management.
  • Data-driven identification enabled targeted interventions for patients needing optimized lipid management.

Conclusions:

  • Integrated, multidisciplinary care models can effectively improve LDL-C management in high-risk populations.
  • Enhanced collaboration among healthcare providers optimizes patient outcomes for atherosclerotic cardiovascular disease.
  • The ENNA Project demonstrates a scalable pathway for improving lipid management and reducing cardiovascular risk.

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