Ventricular fibrillation waveform characteristics in out-of-hospital cardiac arrest and cardiovascular medication use
Authors/Creators
- 1. Department of Cardiology, Heart Center, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
- 2. Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Division Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, The Netherlands
- 3. Department of Cardiology, Heart Center, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands; Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Division Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, The Netherlands
Description
Background: Ventricular fibrillation (VF) waveform analyses are considered a reliable proxy for OHCA characteristics in out-of-hospital cardiac arrest
(OHCA), but patient characteristics such as cardiovascular medication use might also be associated with changes in VF waveform measures.
Objectives: To assess associations between cardiovascular medication use and amplitude spectrum area (AMSA) of VF, while correcting for the
presence of cardiovascular disease (CVD), CVD risk factors, and OHCA characteristics.
Methods: We included 990 VF patients from an OHCA registry in the Netherlands, with available information on medical history and cardiovascular
medication use. Associations between cardiovascular medication use and AMSA were tested in a multivariate linear regression model, adjusting for
CVD, CVD risk factors, and OHCA characteristics. Model performance was shown using R-square and R-change. We also calculated whether
medication use was associated with faster dissolution of AMSA to lower values with increasing time delay.
Results: In the multivariate analysis, when corrected for CVD, CVD risk factors and OHCA characteristics, only potassium-sparing agents were
associated with a lower AMSA when compared to patients using other cardiovascular medications (OR 0.46 [95% CI 0.100.81]; P < 0.012). The
decrease in AMSA with increasing EMS-call-to-ECG delay was the same for patients with and without cardiovascular medication use (all P > 0.05). Only
a small part of the variance in AMSA could be explained by medication use (R-square 0.003
0.026). Adding OHCA characteristics to the model resulted
in the largest R square change (0.090.15).
Conclusions: It is unlikely that there is a strong and clinically relevant independent pharmacologic effect of cardiovascular medication use on AMSA. In
OHCA, AMSA might be used as patient management tool without considering cardiovascular medication use.: It is unlikely that there is a strong and clinically relevant independent pharmacologic effect of cardiovascular medication use on AMSA. In
OHCA, AMSA might be used as patient management tool without considering cardiovascular medication use.
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