title: Dynamic filling parameters in patients with atrial fibrillation: differentiating rhythm induced from ventilation-induced variations in pulse pressure.
abstract: In patients with sinus rhythm, the magnitude of mechanical ventilation (MV)-induced changes in pulse pressure (PP) is known to predict the effect of fluid loading on cardiac output. This approach, however, is not applicable in patients with atrial fibrillation (AF). We propose a method to isolate this effect of MV from the rhythm-induced chaotic changes in PP in patients with AF. In 10 patients undergoing pulmonary vein ablation for treatment of AF under general anesthesia, ECG and PP waveforms were analyzed during apnea (T1) and during MV at tidal volumes of 8 ml/kg (T2) and 12 ml/kg (T3), respectively. In a first step, three mathematical models were compared in their ability to predict individual PP at T1. The best-fitting model was then selected as the reference to quantify the effects of MV on PP in these patients. A local polynomial regression model based on two preceding RR intervals (LOC2) was found to be superior over the quadratic models to predict PP. LOC2 was therefore selected to quantify variations in PP induced by MV. During T2 and T3, magnitude of PP deviations was related with the amplitude of tidal volume [mean bias error (SD) of -5 (6) and -8 (7) mmHg for T2 and T3, respectively; P = 0.003 repeated-measures ANOVA]. We conclude that LOC2 most accurately predicted rhythm-induced variations in PP. MV-induced deviations in PP can be quantified and may therefore provide a method to study cardiopulmonary interactions in the presence of arrhythmia.
authors.affiliation: Department of Anesthesiology, Ghent University Hospital, Ghent, Belgium; and Piet.wyffels@ugent.be.
authors.forename: Piet A H
authors.initials: PA
authors.lastname: Wyffels
authors.affiliation: Department of Cardiology, Ghent University Hospital, Ghent, Belgium.
authors.forename: Frederic
authors.initials: F
authors.lastname: Van Heuverswyn
authors.affiliation: Department of Anesthesiology, Ghent University Hospital, Ghent, Belgium; and.
authors.forename: Stefan
authors.initials: S
authors.lastname: De Hert
authors.affiliation: Department of Anesthesiology, Ghent University Hospital, Ghent, Belgium; and.
authors.forename: Patrick F
authors.initials: PF
authors.lastname: Wouters
mesh_terms: D000368:Aged; D000704:Analysis of Variance; D000768:Anesthesia, General; D001281:Atrial Fibrillation / Q000175:diagnosis / Q000503:physiopathology / Q000601:surgery*; D001794:Blood Pressure; D002302:Cardiac Output; D017115:Catheter Ablation; D004562:Electrocardiography; D005260:Female; D006339:Heart Rate; D006801:Humans; D008297:Male; D008875:Middle Aged; D008955:Models, Cardiovascular; D016343:Monitoring, Intraoperative / Q000379:methods; D011237:Predictive Value of Tests; D012044:Regression Analysis; D012121:Respiration, Artificial / Q000009:adverse effects*; D012815:Signal Processing, Computer-Assisted; D013997:Time Factors
keywords: atrial fibrillation; cardiopulmonary interaction; fluid responsiveness; mechanical ventilation; pulse pressure variation