Key result
RMS calculations estimate perfusion pressure ~12 mmHg higher than standard mean blood pressure formulas in simulations.
Calculating perfusion pressure using root mean square rather than standard mean arterial pressure formulas may better reflect hydraulic power and potentially reduce organ ischemia during cardiopulmonary bypass.
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Standard MAP formulas may underestimate perfusion during CPB; hypothesis-generating for RMS-based monitoring with no practice change warranted yet.
Organ ischemia, particularly mesenteric and renal, can occur despite a seemingly adequate perfusion flow and pressure during a period of cardiopulmonary bypass. The blood pressure to run bypass at remains a contentious issue. We present the concept that perfusion pressure during cardiopulmonary bypass should be patient specific, depending on an individual’s resting pre-procedural blood pressure. Four simulated arterial traces with variable morphology, but identical systolic and diastolic blood pressures, were analyzed to calculate the medical mean, arithmetic mean, and root mean square of the blood pressure tracing. Using the standard medical formula for calculation of mean blood pressure, you can potentially underestimate perfusion pressure by 12 mmHg in a normotensive subject. The root mean square pressure calculates the equivalent non pulsatile pressure that will deliver the same hydraulic power to the circulation as its pulsatile equivalent. Patient specific perfusion pressures, calculated via root mean square may potentially help reduce the incidence of organ ischemia during cardiopulmonary bypass. Clinical trials are needed to confirm or refute this concept.
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Warwick et al. (2010) studied Cardiopulmonary bypass (n=4). Patient specific perfusion pressures calculated via root mean square vs. Standard medical formula for calculation of mean blood pressure was evaluated on Calculation of mean blood pressure. Using the standard medical formula for mean blood pressure can potentially underestimate perfusion pressure by 12 mmHg compared to root mean square calculations in simulated arterial traces.
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