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Published on: September 6, 2024
Risk stratification using the SCAI SHOCK classification in patients with acute pulmonary embolism
Ahmad Jabri1, Anand Maligireddy2, Farhan Nasser3
1Division of Cardiovascular Medicine, William Beaumont University Hospital, Royal Oak, MI, United States of America.
The Society for Cardiovascular Angiography and Interventions (SCAI) shock classification accurately stratifies mortality risk in patients with pulmonary embolism (PE). Patients experiencing cardiac arrest had significantly higher mortality than those requiring vasopressors.
Area of Science:
- Cardiology
- Pulmonary Medicine
- Critical Care Medicine
Background:
- Pulmonary embolism (PE) is a major cause of cardiovascular death.
- High-risk PE patients have varied outcomes, and current systems don't distinguish vasopressor use from cardiac arrest.
- This study uses the SCAI shock classification for PE risk stratification.
Purpose of the Study:
- To apply the SCAI shock classification to stratify high-risk PE patients.
- To assess mortality differences across SCAI shock stages in PE.
- To evaluate treatment modalities and outcomes based on shock severity.
Main Methods:
- Analysis of the Nationwide Inpatient Sample (NIS) database (2017-2020).
- Categorization of adult PE hospitalizations into SCAI shock stages A/B, C/D, and E.
- Multivariate logistic regression to adjust for confounders and analyze outcomes like mortality and complications.
Main Results:
- Mortality increased significantly with shock severity: 2.13% (Stage A/B), 39.90% (Stage C/D), and 65.95% (Stage E).
- Stage C/D and E patients had substantially higher adjusted odds of mortality (13.9x and 54.8x, respectively).
- Surgical thrombectomy showed lower mortality compared to systemic thrombolysis for Stage C/D and E PE.
Conclusions:
- The SCAI shock classification provides precise mortality risk stratification for high-risk PE.
- Cardiac arrest in PE patients is associated with significantly higher mortality than vasopressor requirement alone.
- Further research should integrate hemodynamic parameters and biomarkers for optimized treatment selection in PE.
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