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Published on: June 12, 2021
Cardiogenic Shock Classification and Associated Mortality Risk
Katherine L Hill1, Mark A Rustin1, Michele A Asche2
1Department of Nursing, Mayo Clinic, Rochester, MN; Doctor of Nursing Program, Winona State University, Winona, MN.
Insights
The Society for Cardiovascular Angiography and Interventions (SCAI) Shock Classification effectively predicts mortality risk in cardiogenic shock (CS) patients. This system can guide clinical monitoring algorithms for improved patient outcomes.
Area of Science:
- Cardiology
- Critical Care Medicine
Background:
- Cardiogenic shock (CS) requires standardized severity assessment.
- The Society for Cardiovascular Angiography and Interventions (SCAI) Shock Classification was developed for this purpose.
Purpose of the Study:
- Evaluate short- and long-term mortality rates across SCAI shock stages.
- Propose using the SCAI Shock Classification for clinical status monitoring algorithms.
Main Methods:
- Conducted a literature search of articles from 2019-2022 using SCAI shock stages for mortality risk assessment.
- Reviewed 30 relevant articles.
Main Results:
- SCAI Shock Classification at admission showed a reproducible, graded association with mortality risk.
- Shock severity correlated incrementally with mortality across various patient stratifications.
- The classification system effectively evaluates mortality in diverse CS populations.
Conclusions:
- The SCAI Shock Classification is a valuable tool for assessing mortality risk in cardiogenic shock.
- An algorithm incorporating SCAI stages into EHRs can enhance CS monitoring and patient management.
- This approach may lead to earlier intervention and improved outcomes.
Abstract:
The Society for Cardiovascular Angiography and Interventions (SCAI) Shock Classification was developed to create standardized language describing the severity of cardiogenic shock (CS). The purposes of this review were to evaluate short-term and long-term mortality rates at each SCAI shock stage for patients with or at risk for CS, which has not been studied previously, and to propose using the SCAI Shock Classification to develop algorithms for clinical status monitoring. A detailed literature search was conducted for articles published from 2019 through 2022 in which the SCAI shock stages were used to assess the mortality risk. In total, 30 articles were reviewed. The SCAI Shock Classification at hospital admission revealed a consistent and reproducible graded association between shock severity and mortality risk. Furthermore, shock severity correlated incrementally with mortality risk even after patients were stratified for diagnosis, treatment modalities, risk modifiers, shock phenotype, and underlying cause. The SCAI Shock Classification system can be used to evaluate mortality across populations of patients with or at risk for CS including those with different causes, shock phenotypes, and comorbid conditions. We propose an algorithm that uses clinical parameters incorporating the SCAI Shock Classification into the electronic health record to continually reassess and reclassify the presence and severity of CS across time throughout hospitalization. The algorithm has the potential to alert the care team and a CS team, leading to earlier recognition and stabilization of the patient, and may facilitate the use of treatment algorithms and prevent CS deterioration, leading to improved outcomes.
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