Activity Summary
Approximately 33% of the patients admitted to the ICU experience shock. Early detection is critical to avoid end-organ dysfunction. Using a case study approach, this session integrates the use of advanced hemodynamic variables to predict a patient’s pressure and perfusion response to treatment. This presentation focuses on the processes nurses and providers use to decide patient-centered shock treatments. These decisions are made using an algorithmic tool, the hemodynamic optimization algorithm, designed to assess changes in the patient’s hemodynamic status focusing on the advanced hemodynamic variables: hypotension perfusion index (HPI), dynamic elastance (Eadyn) and systolic slope (dP/dt).
Objectives
- Describe traditional hemodynamic variables (CO, CI, SV, SVR) and the indicated care based on these values.
- Apply advanced hemodynamic variables using an algorithm to facilitate a stepwise approach when caring for patients in a shock state.
- Analyze a patient’s perfusion, pressure and dynamic assessments referencing hemodynamic variables using a case study approach.
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Continuing Education Recognition Points (CERPs) are recognized by the AACN Certification Corporation to fulfill educational requirements for certification.
Some state boards of nursing and other certification organizations may recognize CERPs as meeting educational requirements. Nurses should consult with their state board or credentialing organization before submitting CERPs to fulfill educational requirements.