Making the Case for Stroke Volume Variation:
A Tool for Fluid Optimization
Jan M. Headley, RN, BSDirector, Strategic Alliances &
Professional EducationEdwards Lifesciences
Irvine , Ca
Does this Patient NEED Fluid??
ScvO2
CCO
WE Have a Problem…
Identified Problem• Volume expansion 1st line of therapy.• Only ½ of patients show an increase in CO as a
response to fluid therapy. (Defined as responders)
• Need a reliable means to be able to determine the patients ability to respond to fluid.
Teboul 2003:
An Editorial Review
Pressure Based Parameters• Issues: CVP and PAOP poor predictors of fluid
statusKumar CCM 2004
Pressures do not predict fluid responsiveness
• Osman, et al. CCM 2007 • Cardiac filling pressures
did not predict fluid responders from non-responders.
Dynamic Preload Predicting Parameters
• Dynamic preload parameters such as SPV and its delta up or down, PPV and SVV are better predictors of preload responsivenessthan static indices.
Teboul
SPV, PPV, SVV Defined • All measure the difference between the
maximum and minimum values over a full respiratory cycle. – SPV: Systolic Pressure Variation (mmHg):
• SPMax – SPMin Normal < 10 mmHg– PPV: Pulse Pressure Variation (%):
• PPMax – PPmin/ PP mean Normal <13%– SVV: Stroke Volume Variation (SVV%):
measured over the 20 second cycle. • SVMax – SVMin/SV mean Normal < 15 %
JMHeadley 2007 AACN NTI News
SVV: The Basic Formula
Preload Responsiveness: SVV
Predicting SVI changes >= 5%, CI > 15% Michard 1999 & Cannesson 2009
Pulsus Paradoxus: The Origin of SVV
• Pulsus Paradoxus is the origin of SVV value.– Occurs with spontaneously
breathing patients.• Reverse Pulsus Paradoxus
– Occurs during positive pressure ventilation.
• Clinical use of this phenomenon remains “marginal”.
Michard Anesthesiology 2005
Dynamic Response to Preload
• During each respiratory cycle a “virtual” preload challenge occurs.
• Therefore, variations in the tidal volumes during a breath can impact the next systolic pressure.Parry-Jones
Stro
ke V
olum
e
Preload
P
SV
SVV 28%
SVV 10%
SVV 8%
Patient A
Patient B
F- S Curve for Preload Responsiveness
• Patient A is preload responsive– On steep portion of the curve– Fluid bolus produces large
increase in SV– SVV > 10 – 15 %
• Patient B is not preload responsive – On flat portion of the curve– Fluid bolus does not produce
the same amount of increase in SV
– SVV < 10 – 15%
Modified Concepts from Parry-Jones, Michard, et al.
Patient B
Patient A
Two Major Indications of SVV:• 1. evaluate the response to fluid
interventions
• 2. determine or predict the patient’s potential response to fluid therapy
• If variability is low, need for fluid low• If variability is high, need for fluid is high
Michard 2005, Teboul 2003
Fluid Responsive??
Parameter Normal Fluid Responsive
SPV mmHg 5 mmHg >10 mmHg
PPV % < 13% >13%
SVV % <10 % > 10 - 15%
Useful but has some limitations
• Some potential limitations:– Arrhythmias– Spontaneous breathing– Varied ventilator
delivered tidal volumes • “However, this does not
represent a true limitation of the interpretation of large SVV as an indicator of fluid responsiveness”Teboul
Chest 2002;121;1245-1252
PLR??
PassiveLeg Raising45 °
PassiveLeg Raising45 °
• 150 – 300 ml volume• Effects < 30 sec.. Not more than 4 minutes
• Self-volume challenge• Reversible
PLR Effects on Starling Curve
• If the increase in cardiac preload induced by PLR induces significant changes in SV (a to b), the patient will likely be fluid responsive
• If the same changes in cardiac preload during PLR do not significantly change SV (a’ to b’), the heart is likely preload independent and should not be administered
Monnet 2007
How to Perform a PLR
• Pivot bed automatically (in some beds) •Trunk is tilted supine, lower limbs raised to 45° angle •Angle between the trunk and lower limbs remains unchanged (135°)
PassiveLeg Raising45 °
Semi-Fowler’s Passive
Leg Raising45 °
Semi-Fowler’s
Monnet 2007, artwork from www.medtrng.com
Time 2 pm
Temp 36.8HR 88 MAP 90CVP 10CCI 2.5Hb 10.4SaO2 100%SV 44SVV 18%
62 y/o female, Post AoVR
Is the SV Adequate?
SV – SVV F-S Curve
High values SVV (PLR) Low values
4418%
High values
SV
Low values
Time 2 pm 2:15 pm
Temp 36.8 36.4HR 88 81MAP 90 86CVP 10 12CCI 2.5 3.2Hb 10.4 10.4SaO2 100% 100%SV 44 55SVV 18% 13%
62 y/o female, Post AoVR Post Fluid Bolus
Is the SV Adequate?
SV – SVV F-S Curve
High values SVV (PLR) Low values
4418%
5513%
High values
SV
Low values
Time 2 pm 2:15 pm 2:45 pm
Temp 36.8 36.4 36.5HR 88 81 80MAP 90 86 85CVP 10 12 11CCI 2.5 3.2 3.4Hb 10.4 10.4 10.4SaO2 100% 100% 100%SV 44 55 62SVV 18% 13% 11%
62 y/o female, Post AoVR Post Fluid Bolus
Is the SV Adequate?
SV – SVV F-S Curve
High values
SV
Low values
High values SVV (PLR) Low values
4418%
5513%
6211%
SVV: Pre PLR
SVV 22%SV/SVI 46/22CO/CI 3.9/2.1
Simulated data
SVV: Post PLR
• SVV 14% • SV/SVI 63/35• CO/CI 4.8/2.8
Simulated data
So did this patient need fluid?
JMHeadley 2007 AACN NTI News
Making the Case for Stroke Volume Variation: A Tool for Fluid Optimization
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Jan Headley is an employee of Edwards Lifesciences. Any quotes used in this material are taken from independent third-party publications and are not intended to imply that such third party received or endorsed any of the products of Edwards Lifesciences.
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