Pulse pressure variation and stroke volume variation to predict fluid responsiveness in patients undergoing carotid

Kyung Mi Kim1, Mi Sook Gwak, Soo Joo Choi

  • 1Department of Anesthesiology and Pain Medicine, Hallym University Dongtan Sacred Heart Hospital, Hwaseong, Korea.

Insights

Pulse pressure variation (PPV) and stroke volume variation (SVV) accurately predict fluid responsiveness during carotid endarterectomy. These dynamic indices help optimize fluid management and improve patient outcomes.

Area of Science:

  • Anesthesiology and Critical Care Medicine
  • Cardiovascular Surgery
  • Hemodynamic Monitoring

Background:

  • Maintaining hemodynamic stability is crucial during carotid endarterectomy (CEA) to prevent perioperative complications.
  • Dynamic preload indices like pulse pressure variation (PPV) and stroke volume variation (SVV) are increasingly used in mechanically ventilated patients.
  • Their utility in CEA patients requires further evaluation.

Purpose of the Study:

  • To assess the accuracy of PPV and SVV in predicting fluid responsiveness in patients undergoing CEA.
  • To determine if these dynamic indices can guide fluid management during this procedure.

Main Methods:

  • Twenty-seven patients undergoing CEA were included.
  • PPV, SVV, and cardiac output (CO) were measured before and after fluid loading.
  • Fluid responsiveness was defined as a ≥15% increase in CO.
  • Receiver operating characteristic (ROC) analysis was used to evaluate predictive accuracy.

Main Results:

  • Both PPV and SVV correlated with CO changes after fluid expansion.
  • ROC analysis indicated PPV (AUC=0.854) and SVV (AUC=0.841) accurately predicted fluid responsiveness.
  • Optimal thresholds were PPV ≥9.5% (sensitivity 71.4%, specificity 90.9%) and SVV ≥7.5% (sensitivity 92.9%, specificity 63.6%).

Conclusions:

  • PPV and SVV values measured before fluid loading are associated with increased CO post-volume expansion.
  • These dynamic indices are valuable predictors of fluid responsiveness in CEA patients.
  • They can aid in optimizing perioperative fluid management.
Abstract

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