Functional Haemodynamic Monitoring in High-Risk Surgical Patients
Author Information
Author(s): Willars C, Dada A, Green D
Primary Institution: Kings College Hospital, London, UK
Hypothesis
Can dynamic measures of cardiac filling predict fluid responsiveness in high-risk surgical patients?
Conclusion
The study found that the Stroke Volume Variation (SVV) was an adequate predictor of fluid responsiveness in high-risk surgical patients.
Supporting Evidence
- Thirty-two out of 43 valid fluid challenges were positive (74.4%).
- The correlation coefficients between baseline SVV, SPV and PPV with ΔSVI were 0.27, -0.01 and 0.18 respectively.
- The AUROCs for SVV, SPV, and PPV were 0.75, 0.587, and 0.67 respectively.
- The best cut-off value for SVV was 13.5%, with a diagnostic odds ratio of 8.06.
Takeaway
Doctors can use a special measurement called SVV to help decide if patients need more fluids during surgery.
Methodology
The study evaluated the haemodynamic parameters of 70 high-risk patients undergoing major vascular surgery using the LiDCOviewPro.
Limitations
The study was retrospective and only included patients who met specific criteria for fluid challenges.
Participant Demographics
Mean age 71 ± 11.3 years, median ASA 3.
Statistical Information
P-Value
0.08
Confidence Interval
95% CI = 0.57 to 0.93
Statistical Significance
p=0.08
Digital Object Identifier (DOI)
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