Bjarne Madsen Hardig
Associate Professor
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About
Bjarne Madsen Hardig is an Associate Professor at Lund University in Sweden. His research focuses on cardiology, particularly in the areas of cardiac arrest, cardiopulmonary resuscitation, and treatment adherence for atrial fibrillation. His recent publications include studies on the effectiveness of various resuscitation techniques and the impact of medical devices in emergency settings.
Articles (10)
Year:
2025
Background Chest compression is a lifesaving intervention in out‐of‐hospital cardiac arrest (OHCA), but the optimal metrics to assess its quality have yet to be identified. The objective of this study was to investigate whether a new parameter, that is, the variability of the chest compression‐generated transthoracic impedance (TTI), namely Imp CC , which measures the consistency of the chest compression maneuver, relates to resuscitation outcome. Methods This multicenter observational, retrospective study included OHCAs with shockable rhythm. Imp CC variability was evaluated with the power spectral density analysis of the TTI. Multivariate regression model was used to examine the impact of Imp CC variability on defibrillation success. Secondary outcome measures were return of spontaneous circulation and survival. Results Among 835 treated OHCAs, 680 met inclusion criteria and 565 matched long‐term outcomes. Imp CC was significantly higher in patients with unsuccessful defibrillation compared to those with successful defibrillation ( p = .0002). Lower Imp CC variability was associated with successful defibrillation with an odds ratio (OR) of 0.993 (95% confidence interval [95% CI], 0.989–0.998, p = .003), while the standard chest compression fraction (CCF) was not associated (OR 1.008 [95 % CI, 0.992–1.026, p = .33]). Neither Imp CC nor CCF was associated with long‐term outcomes. Conclusions In this population, consistency of chest compression maneuver, measured by variability in TTI, was an independent predictor of defibrillation outcome. Imp CC may be a useful novel metrics for improving quality of care in OHCA.
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2024
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2024
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2023
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2023
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2022
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2022
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2022
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2020
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2020
Collaborators (3)
Giuseppe Ristagno
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Carla Fornari
University of Milano-Bicocca
Henrik Wagner
Lund University
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