Risk Stratification Tools in Acute Heart Failure and Their Roles in Personalized Follow-Up

Area of Science:

• Cardiology
• Public Health
• Healthcare Management

Background:

• Heart failure (HF) presents a significant clinical and economic burden in Europe, with high incidence and prevalence.
• Prognosis for HF patients remains poor, characterized by elevated mortality and hospitalization rates.
• The post-discharge period, or "vulnerable phase," poses a heightened risk of clinical events, including rehospitalization (30%) and mortality (10%).

Purpose of the Study:

• To review existing prognostic risk stratification tools for heart failure patients.
• To propose a structured follow-up model for patients after HF hospitalization.
• To optimize patient management and resource allocation during the vulnerable post-discharge phase.

Main Methods:

• Systematic review of prognostic risk stratification tools for heart failure.
• Analysis of current follow-up strategies post-heart failure hospitalization.
• Development of a structured follow-up model for diverse HF patient populations.

Main Results:

• Identification of various tools for assessing patient risk post-discharge.
• Proposal of a structured follow-up framework tailored to individual risk.
• Emphasis on personalized care to mitigate adverse events in the vulnerable phase.

Conclusions:

• Effective risk stratification is essential for personalized heart failure management post-discharge.
• A structured follow-up model can improve outcomes and resource utilization.
• Implementing these strategies is crucial for reducing the burden of heart failure.