Abstract 149: Role of Pre and Intra-Arrest Hemodynamics in Evolution of the Ventricular Fibrillation Electrocardiogram Waveform
Purpose: Quantitative waveform measures (QWM) of the ventricular fibrillation (VF) waveform have been shown in laboratory and clinical studies to be predictive of return of spontaneous circulation (ROSC) and survival to hospital discharge. During resuscitation, QWM are responsive to hemodynamic changes resulting from CPR. It is not known whether the trajectory of QWM are affected by pre-arrest hemodynamics or intra-arrest arterio-venous pressure equilibration. We sought to investigate the role of hemodynamics on the evolution of VF before and during prolonged VF. Methods: We pooled data from six previous porcine experiments. Each modeled prolonged VF and included electrical induction of VF which was left untreated for up to 10 minutes, followed by attempted resuscitation. All animals were instrumented with pressure transducers (Millar, MikroTip) placed via femoral cutdown in the aorta and right atrium, as well as Lead II surface ECG. Signals were recorded continuously at 1000Hz with a data acquisition unit (PowerLab, ADInstruments). Mean baseline central arterial (CAP) and central venous pressure (CVP) were calculated from 1- minute of immediate pre-VF pressure traces. Coronary perfusion pressure (CPP) during untreated VF was calculated as the continuous difference between the CAP and CVP channels. Median slope (MS), a QWM, was calculated in 1-second windows and interpolated to the full length of the intra-arrest ECG. For trajectory analysis, CPP and MS traces were normalized on a 0-1 scale and grouped by morphological similarity. Pearson’s Correlation coefficient was calculated between corresponding CPP and MS traces. Results: A total of 141 experiments were included in the analysis. Overall mean (SD) correlation between CPP and MS was 0.56 (0.29). CPP-MS correlation strength did not correlate with baseline pressures. However, trajectory analysis revealed multiple patterns of hemodynamic and QWM evolution through untreated VF, with the most well-defined (mean coeff. = 0.58) indicating a shared bimodality temporally offset between CPP and MS. Conclusions: Hemodynamics during untreated VF show some correlation with the trajectory of QWM of the VF signal. More work is needed to understand the mechanism of this relationship.