The Acumen IQ sensor - part of the minimally-invasive family of hemodynamic sensors - unlocks the Acumen Hypotension Prediction Index (HPI) software. It was built on the foundation of the Edwards Arterial Pressure-Based Cardiac Output (APCO) algorithm.
The Acumen IQ sensor connects to any existing radial arterial line and unlocks the ability to predict hypotensive events with the Acumen Hypotension Prediction Index (HPI) software.
Developed in partnership with clinicians across the world and the first in a new category of products, Acumen Hypotension Prediction Index software offers the only predictive monitoring parameter for hypotension that is commercially available in the United States. This first-of-its-kind predictive decision support software detects the likelihood of a patient trending towards a hypotensive event before the event occurs, and provides you with insights to understand the root cause and inform a potential course of action for your patient.
|Model||Description||Length||Unit of Measure|
|AIQS8||Acumen IQ sensor standalone||84 in/213 cm||EA|
|AIQS85||Acumen IQ sensor standalone (5-pack)||84 in/213 cm||5|
|AIQS6||Acumen IQ sensor standalone||60 in/152 cm||EA|
|AIQS65||Acumen IQ sensor standalone (5-pack)||60 in/152 cm||5|
Acumen IQ sensor attaches to any existing arterial line and automatically calculates key parameters every 20 seconds, reflecting rapid physiologic changes in surgical and nonsurgical and patients in intensive care settings.
In noncardiac surgery patients, research findings have revealed strong associations between intraoperative hypotension and elevated risk of both acute kidney injury (AKI) and myocardial injury after noncardiac surgery (MINS).1,2,3
When managing perfusion, stroke volume can be optimized using the patient’s own Frank-Starling curve. 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 and flow-based parameters are more informative than conventional parameters in determining fluid responsiveness and may help guide individualized volume administration in patients and avoid excessive and insufficient administration.9Additionally, 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.7,8
Frank-Starling relationship between preload and stroke volume (SV)
Acumen Analytics software offers you retrospective data analysis and hemodynamic insights into patient perfusion. It allows you to retrospectively view and analyze monitored hemodynamic parameters from the Acumen IQ sensor, highlighting key events including:
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.
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:
Caution: Federal (United States) law restricts this device to sale by or on the order of a physician.
See Instructions For Use (IFU) / Directions For Use (DFU) for full prescribing information, including indications, contraindications, warnings, precautions and adverse events.
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