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Performance and costs of rule-out protocols for acute aortic syndromes: analysis of pooled prospective cohorts.

European journal of internal medicine2025-04-13PubMed
Total: 81.5Innovation: 8Impact: 8Rigor: 8Citation: 9

Summary

Using individual patient data from three prospective diagnostic cohorts (n=4,907; AAS prevalence 10.3%), guideline-aligned clinical score plus D-dimer rule-out protocols for suspected acute aortic syndromes demonstrated uniformly high sensitivity (up to 97.6%) but varied in specificity, efficiency, and cost. These results enable context-specific selection of protocols based on local policies and resource constraints.

Key Findings

  • Pooled individual patient data from 3 prospective studies across 12 centers and 5 countries (n=4,907; AAS prevalence 10.3%).
  • Clinical score+D-dimer protocols achieved very high sensitivity (up to 97.6%), consistent with guideline goals for rule-out.
  • Specificity, efficiency, and costs varied across protocols, enabling policy- and resource-informed pathway selection.

Clinical Implications

Emergency departments can adopt highly sensitive score+D-dimer protocols while choosing versions that best balance imaging utilization and costs within local systems.

Why It Matters

Direct IPD comparison of multiple guideline-endorsed AAS rule-out pathways clarifies trade-offs between sensitivity, specificity, and costs, addressing a critical emergency diagnostic gap.

Limitations

  • Abstract provides limited detail on specific D-dimer thresholds and some performance metrics
  • External generalizability may vary with local imaging access and pretest probability

Future Directions

Prospective implementation studies comparing real-world outcomes, radiation exposure, and cost-effectiveness across pathways; exploration of age-adjusted or clinical probability–adjusted D-dimer thresholds.

Study Information

Study Type
Meta-analysis
Research Domain
Diagnosis
Evidence Level
I - Pooled individual patient data from prospective diagnostic studies with comparative performance and cost analyses.
Study Design
OTHER