Risk stratification in pulmonary embolism: current evidence and future directions

Area of Science:

• Cardiology
• Pulmonology
• Medical Diagnostics

Background:

• Pulmonary embolism (PE) poses significant cardiovascular risks, necessitating precise diagnosis and prognostication.
• Effective risk stratification guides patient management, treatment selection, and triage.
• Traditional scoring systems and dynamic assessment are key for predicting PE outcomes.

Purpose of the Study:

• To review current risk assessment strategies for pulmonary embolism.
• To evaluate established and novel prediction models for PE.
• To discuss future directions in multimodal PE risk stratification and individualized care.

Main Methods:

• Review of existing clinical prediction rules (Wells, Geneva, Hestia, PESI, sPESI).
• Analysis of scoring systems, imaging, and biomarkers for hospitalized patients.
• Exploration of multidisciplinary pulmonary embolism response teams (PERTs) and hybrid models.

Main Results:

• Pretest probability scores (Wells, Geneva) guide diagnostic testing needs.
• Hestia, PESI, and sPESI identify candidates for outpatient management.
• Advanced tools and PERTs support multimodal risk stratification for hospitalized patients.

Conclusions:

• A multimodal approach integrating various tools is emerging for PE risk assessment.
• Individualized care in PE management benefits from refined risk stratification models.
• Future research should focus on enhancing predictive accuracy and personalized treatment.