The Acumen IQ sensor - part of the minimally invasive family of hemodynamic sensors - unlocks the Hypotension Prediction Index (HPI) software. Build on the foundation of the Edwards Arterial Pressure-Based Cardiac Output (APCO) algorithm.
The Acumen IQ sensor unlocks the ability to predict hypotensive events with the Acumen Hypotension Prediction Index (HPI) software. Acumen Hypotension Prediction Index software offers the only predictive monitoring parameter for hypotension commercially available. Developed in partnership with clinicians, this first-of-its-kind predictive decision support software detects the likelihood of 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.
*A hypotensive event is defined as MAP < 65 mmHg for a duration of at least one minute.
The Acumen IQ sensor attaches to any existing arterial line and automatically calculates key parameters every 20 seconds, reflecting rapid physiologic changes in moderate- to high-risk surgery.
Acumen Hypotension Prediction Index software offers the only predictive monitoring parameter for hypotension commercially available. Developed in partnership with clinicians, this first-of-its-kind predictive decision support software detects the likelihood of 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.
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 non cardiac 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 bolus fluid 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.7Additionally, 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.8-10
Frank-Starling relationship between preload and stroke volume (SV)
Acumen Analytics software enables you to analyze the data retrospectively, providing insights into hemodynamic management of individual patients as well as groups of patients. The view of specific pressure and flow parameters allows you to analyze:
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For a listing of indications, contraindications, precautions, warnings, and potential adverse events, please refer to the Instructions for Use (consult eifu.edwards.com where applicable).
Edwards Lifesciences devices placed on the European market meeting the essential requirements referred to in Article 3 of the Medical Device Directive 93/42/EEC bear the CE marking of conformity.
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