The minimally-invasive FloTrac system is a proven solution for advanced hemodynamic monitoring that automatically calculates key flow parameters every 20 seconds. Continuous clarity provided by the FloTrac system offers proactive decision support to manage hemodynamic instability and ensure adequate patient perfusion.
The FloTrac sensor parameters displayed on the HemoSphere monitor show patient status at a glance, for visual clinical support and increased clarity in volume administration.
Proactive decision support offered by the FloTrac system helps guide individualized treatment decisions for your moderate- to high-risk surgery patients, and can be utilized perioperatively to proactively manage your patient’s physiological status in rapidly changing clinical situations in acute care settings.
Advanced hemodynamic parameters that update every 20 seconds
- Stroke Volume (SV)
- Stroke Volume Variation (SVV)
- Mean Arterial Pressure (MAP)
- Systemic Vascular Resistance (SVR)
- Cardiac Output (CO)
The proven solution for individualized hemodynamic optimization
Chosen to monitor over
4.5 million patients*
86 Countries.*Used by clinicians worldwide for minimally-invasive volume management.
Referenced in over 270+ clinical studies* spanning the OR and ICU
FloTrac system algorithm
Provides a clear hemodynamic picture across various patient conditions and surgical procedures
FloTrac system validated algorithm
Offers specific monitoring of a broader range of changing patient conditions
The FloTrac system algorithm is based on the principle that aortic pulse pressure (PP) is proportional to stroke volume (SV) and inversely related to aortic compliance. The algorithm compensates for the effects of compliance on PP based on age, gender, and body surface area (BSA).
The FloTrac system generation 4.0 has evolved based on a broad and expanding patient database. This expanded database in moderate- to high-risk surgical patients has informed the algorithm to recognize and adjust for more patient conditions.
Through continuous beat detection and analysis, the FloTrac system algorithm allows for the ongoing use of Stroke Volume Variation. The FloTrac system algorithm enables the display and use of SVV in patients with multiple premature atrial or ventricular contractions and allows you to guide volume resuscitation despite most arrhythmias.5,6,7
Estimation of Stroke Volume Variation by the SVVxtra algorithm is based on detection of abnormal beats, interpolation of remaining beats, restoration of missing beats, and calculation of Stroke Volume Variation.5
|Model||Description||Length||Unit of Measure|
|MHD8R||FloTrac sensor||84 in/ 213 cm||1 Each|
|MHD8R5||FloTrac sensor||84 in/ 213 cm||5 Each|
|MHD6R||FloTrac sensor||60 in/ 152 cm||1 Each|
|MHD6R5||FloTrac sensor||60 in/ 152 cm||5 Each|
|MHD6AZR||FloTrac sensor with VAMP adult system||60 in/ 152 cm||1 Each|
|MHD6AZR5||FloTrac sensor with VAMP adult system||60 in/ 152 cm||5 Each|
|MHD6C502||FloTrac sensor with VAMP adult system||60 in/ 152 cm||1 Each|
|MHD8C503||FloTrac sensor with VAMP adult system||84 in/ 213 cm||1 Each|
The minimally-invasive FloTrac system offers continuous clinical decision support to enable proactive clinical decisions.
The FloTrac system provides access to pressure and flow parameters to help you evaluate hemodynamic instability including hypotension and guide appropriate treatment.
Recent studies show associations between intraoperative hypotension and increased risk of acute kidney injury (AKI) and myocardial injury - the leading cause of post-operative mortality within 30 days after surgery.
Advanced hemodynamic monitoring parameters CO, SV, SVV, SVR, and MAP provided by the FloTrac system can help you determine the cause of instability.
If the underlying cause of hemodynamic instability is related to flow generation, continuous parameters provided by the FloTrac system can help you determine appropriate fluid therapy.
Continuous assessment of pressure and flow parameters offers decision support to help manage the duration and severity of intraoperative hypotension episodes.
Frank-Starling relationship between preload and stroke volume (SV)
When managing perfusion, stroke volume can be optimized using the patient’s own Frank-Starling curve – a plot of SV vs. preload. The patient’s location on the curve can be determined by measuring changes in SV in response to change in preload using a fluid bolus challenge or passive leg raise (PLR).
Dynamic, flow-based parameters are more informative than conventional parameters in determining fluid responsiveness and may help guide individualized volume administration in patients and help you avoid excessive and insufficient volume administration.1-2
Additionally, stroke volume variation (SVV) has been proven to be a highly sensitive and specific indicator for preload responsiveness when managing volume. As a dynamic parameter, SVV has been shown to be an accurate predictor of fluid responsiveness in loading conditions induced by mechanical ventilation.3-4
Educational videos to help you learn more about fluid optimization and management.
Hemodynamic education empowering clinical advancement
With a long-term commitment to improving the quality of care for surgical and critical care patients through education, Edwards clinical education meets you no matter where you are in the learning process — with a continuum of resources and tools that continuously support you as you solve the clinical challenges facing you today, and in the future.
Watch videos, explore the Fluid Response Simulator, sign up for eLearnings, and download the Normal Hemodynamic Parameters pocket card.
FloTrac sensor setup video on HemoSphere advanced monitor
This setup video details the process of setting up the FloTrac sensor to the HemoSphere advanced monitor.
FloTrac system setup guide
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We are committed to providing your institution, clinicians and staff with the highest levels of customer service and support to ensure seamless product implementation and ongoing use, including:
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You may also be interested in learning more about the ClearSight system.
- Cannesson, M. (2010). Arterial pressure variation and goal-directed fluid therapy. Journal of Cardiothoracic and Vascular Anesthesia, 24(3), 487-97.
- Benes, et al. (2014). Effects of GDFT based on dynamic parameters on post surgical outcome. Critical Care, 18:584.
- McGee, WT. (2009). A simple physiologic algorithm for managing hemodymanics using stroke volume and and stroke volume variation. Physiologic optimization program. J Intensive Care Med. 24(6):352-60.
- McGee, WT., et al. (2013). Physiologic Goal- Directed therapy in the perioperative period. J Cardiothoracic and Vascular Anesthesia. 27(6):1079-1086.
- Patent WO 2011/094487 A2, Elimination of the Effects of Irregular Cardiac Cycles in the Determination of Cardiovascular Parameters
- Biais M, Ouattara A, Janvier G, Sztark F. Case scenario: respiratory variations in arterial pressure for guiding fluid management in mechanically ventilated patients. Anesthesiology. 2012;116(6):1354-61
- Monnet X, Marik PE, Teboul JL. Prediction of fluid responsiveness: an update. Ann Intensive Care. 2016;6:111.
- Marik, P., et al. (2011) Hemodynamic parameters to guide fluid therapy. Annals of Intensive Care. 1:1.
- National quality forum #0500 severe sepsis and sepsis shock: management bundle (2014).
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