Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Judith L. Bonnes is active.

Publication


Featured researches published by Judith L. Bonnes.


Resuscitation | 2016

Termination of resuscitation in the prehospital setting: A comparison of decisions in clinical practice vs. recommendations of a termination rule

Dominique V.M. Verhaert; Judith L. Bonnes; Joris Nas; Wessel Keuper; Pierre M. van Grunsven; Joep L.R.M. Smeets; Menko Jan de Boer; Marc A. Brouwer

BACKGROUND Of the proposed algorithms that provide guidance for in-field termination of resuscitation (TOR) decisions, the guidelines for cardiopulmonary resuscitation (CPR) refer to the basic and advanced life support (ALS)-TOR rules. To assess the potential consequences of implementation of the ALS-TOR rule, we performed a case-by-case evaluation of our in-field termination decisions and assessed the corresponding recommendations of the ALS-TOR rule. METHODS Cohort of non-traumatic out-of-hospital cardiac arrest (OHCA)-patients who were resuscitated by the ALS-practising emergency medical service (EMS) in the Nijmegen area (2008-2011). The ALS-TOR rule recommends termination in case all following criteria are met: unwitnessed arrest, no bystander CPR, no shock delivery, no return of spontaneous circulation (ROSC). RESULTS Of the 598 cases reviewed, resuscitative efforts were terminated in the field in 46% and 15% survived to discharge. The ALS-TOR rule would have recommended in-field termination in only 6% of patients, due to high percentages of witnessed arrests (73%) and bystander CPR (54%). In current practice, absence of ROSC was the most important determinant of termination [aOR 35.6 (95% CI 18.3-69.3)]. Weaker associations were found for: unwitnessed and non-public arrests, non-shockable initial rhythms and longer EMS-response times. CONCLUSION While designed to optimise hospital transportations, application of the ALS-TOR rule would almost double our hospital transportation rate to over 90% of OHCA-cases due to the favourable arrest circumstances in our region. Prior to implementation of the ALS-TOR rule, local evaluation of the potential consequences for the efficiency of triage is to be recommended and initiatives to improve field-triage for ALS-based EMS-systems are eagerly awaited.


Resuscitation | 2015

Characteristics of ventricular fibrillation in relation to cardiac aetiology and shock success: A waveform analysis study in ICD-patients

Judith L. Bonnes; Wessel Keuper; Sjoerd W. Westra; Erwin S. Zegers; Thom F. Oostendorp; Marc A. Brouwer; Joep L.R.M. Smeets

BACKGROUND Ventricular fibrillation (VF) waveform characteristics are associated with cardiac arrest duration and defibrillation success. Recent animal studies found that VF characteristics and shock success also depend on the presence of myocardial infarction (MI). In patients, VF induction after implantable cardioverter defibrillator (ICD) implantation offers a unique setting to study early VF characteristics: we studied the relation with cardiac disease--either presence or absence of a previous MI--and with shock success. METHODS Retrospective cohort study of ICD-patients who underwent defibrillation testing, 117 (63%) with and 69 (37%) without a previous MI. Intracardiac recordings of induced VF were analysed using Fourier analysis. RESULTS In previous MI-patients, the fundamental frequency and organisation index of the VF signal were significantly lower as compared with patients without a previous MI: 4.9 Hz ± 0.6 vs. 5.2 Hz ± 0.6 (p = 0.005) and 56% ± 10 vs. 60% ± 9 (p = 0.001), respectively. The median frequency was not different (p = 0.25). We found no association between VF characteristics and ICD shock success. CONCLUSIONS In analogy with observations in animals, we found that a history of a previous MI was associated with slower and less organised VF. In our cohort of ICD-patients, early VF waveform characteristics were not associated with shock outcomes. Further study is warranted to determine to what extent VF characteristics are influenced by the underlying aetiology on the one hand, and time delay on the other. These findings could improve insight into the potential value of VF analysis to guide shock delivery.


Resuscitation | 2015

Ventricular fibrillation waveform characteristics differ according to the presence of a previous myocardial infarction: A surface ECG study in ICD-patients

Judith L. Bonnes; Jos Thannhauser; Mathilde C. Hermans; Sjoerd W. Westra; Thom F. Oostendorp; Gjerrit Meinsma; Menko Jan de Boer; Marc A. Brouwer; Joep L.R.M. Smeets

BACKGROUND Characteristics of the ventricular fibrillation (VF) waveform reflect arrest duration and have been incorporated in studies on algorithms to guide resuscitative interventions. Findings in animals indicate that VF characteristics are also affected by the presence of a previous myocardial infarction (MI). As studies in humans are scarce, we assessed the impact of a previous MI on VF characteristics in ICD-patients. METHODS Prospective cohort of ICD-patients (n=190) with defibrillation testing at the Radboudumc (2010-2013). VF characteristics of the 12-lead surface ECG were compared between three groups: patients without a history of MI (n=88), with a previous anterior (n=47) and a previous inferior MI (n=55). RESULTS As compared to each of the other groups, the mean amplitude and amplitude spectrum area were lower, for an anterior MI in lead V3 and for an inferior MI in leads II and aVF. Across the three groups, the bandwidth was broader in the leads corresponding with the infarct localisation. In contrast, the dominant and median frequencies only differed between previous anterior MI and no history of MI, being lower in the former. CONCLUSIONS The VF waveform is affected by the presence of a previous MI. Amplitude-related measures were lower and VF was less organised in the ECG-lead(s) adjacent to the area of infarction. Although VF characteristics of the surface ECG have so far primarily been considered a proxy for arrest duration and metabolic state, our findings question this paradigm and may provide additional insights into the future potential of VF-guided resuscitative interventions.


Resuscitation | 2017

Ventricular fibrillation waveform characteristics of the surface ECG: Impact of the left ventricular diameter and mass

Judith L. Bonnes; Jos Thannhauser; Joris Nas; Sjoerd W. Westra; Rutger M.G. Jansen; Gjerrit Meinsma; Menko-Jan de Boer; Joep L.R.M. Smeets; Wessel Keuper; Marc A. Brouwer

BACKGROUND Despite a promising association between VF waveform characteristics and prognosis after resuscitation, studies with VF-guided treatment have so far not improved outcomes. While driven by the idea that the VF waveform reflects arrest duration, increasing evidence suggests that pre-existent disease-related changes of the myocardium affect ECG-characteristics of VF as well. In this context, we studied the impact of the left ventricular (LV) diameter and mass. METHODS Cohort of 193 ICD-patients with defibrillation testing at the Radboudumc (2010-2014). Surface ECG-recordings (leads I,II,aVF,V1,V3,V6) were analysed to study amplitude and frequency characteristics of the induced VF. Both for LV diameter and mass, patients were categorised in two groups, using echocardiographic data (ASE-guidelines). RESULTS In all ECG-leads, dominant and median frequencies were significantly lower in patients with (n=40) than in patients without (n=151) an increased LV diameter. The mean amplitude and amplitude spectrum area (AMSA) did not differ. In contrast, we observed no differences in frequency characteristics in relation to the LV mass, whereas mean amplitude (I,aVF,V3) and AMSA (I,V3) were significantly higher in patients with (n=57) than in patients without (n=120) an increased LV mass. CONCLUSIONS Frequency characteristics of VF were consistently lower in case of an increased LV diameter. Whereas LV mass does not affect the frequency of the VF waveform, amplitudes seem higher with increasing mass. These findings add to the current knowledge of factors that modulate VF characteristics of the surface ECG and provide insight into factors which may be accounted for in future studies on VF-guided resuscitative interventions.


Annals of Emergency Medicine | 2016

Manual Cardiopulmonary Resuscitation Versus CPR Including a Mechanical Chest Compression Device in Out-of-Hospital Cardiac Arrest: A Comprehensive Meta-analysis From Randomized and Observational Studies

Judith L. Bonnes; Marc A. Brouwer; Eliano Pio Navarese; Dominique V.M. Verhaert; Freek W.A. Verheugt; Joep L.R.M. Smeets; Menko-Jan de Boer


Resuscitation | 2011

AS10 AutoPulse facilitated resuscitation in out-of-hospital cardiac arrest as a brigde to coronary intervention

Marleen H. van Wely; Helmut Gehlmann; Etienne Cramer; Judith L. Bonnes; Freek W.A. Verheugt; Harry Suryapranata; Menko-Jan de Boer; Marc A. Brouwer


Resuscitation | 2018

Future directions in resuscitation care: Towards early detection of myocardial infarction through a novel approach of VF-waveform analysis

Jos Thannhauser; Joris Nas; Seraya Gantevoort; Dennis Rebergen; Gjerrit Meinsma; Hans Zwart; Menko Jan de Boer; Niels van Royen; Judith L. Bonnes; Marc A. Brouwer


Resuscitation | 2018

Mechanical CPR in refractory cardiac arrest may be practical, but injuries should be monitored: A concise meta-analysis

Corstiaan A. den Uil; Judith L. Bonnes; Marc A. Brouwer


Resuscitation | 2018

Shock success and its determinants in refractory ventricular fibrillation during out-of-hospital cardiac arrest

Joris Nas; Judith L. Bonnes; Jos Thannhauser; Eliene Starreveld; Pierre M. van Grunsven; Gjerrit Meinsma; Niels van Royen; Joep L.R.M. Smeets; Menko Jan de Boer; Marc A. Brouwer


Netherlands Heart Journal | 2018

Changes in automated external defibrillator use and survival after out-of-hospital cardiac arrest in the Nijmegen area

Joris Nas; Jos Thannhauser; J. J. Herrmann; K. van der Wulp; P. M. van Grunsven; N. van Royen; M. de Boer; Judith L. Bonnes; M. Brouwer

Collaboration


Dive into the Judith L. Bonnes's collaboration.

Top Co-Authors

Avatar

Marc A. Brouwer

Radboud University Nijmegen

View shared research outputs
Top Co-Authors

Avatar

Joep L.R.M. Smeets

Radboud University Nijmegen

View shared research outputs
Top Co-Authors

Avatar

Joris Nas

Radboud University Nijmegen

View shared research outputs
Top Co-Authors

Avatar

Jos Thannhauser

Radboud University Nijmegen

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Menko Jan de Boer

Radboud University Nijmegen

View shared research outputs
Top Co-Authors

Avatar

Sjoerd W. Westra

Radboud University Nijmegen

View shared research outputs
Top Co-Authors

Avatar

Wessel Keuper

Radboud University Nijmegen

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Menko-Jan de Boer

Radboud University Nijmegen

View shared research outputs
Researchain Logo
Decentralizing Knowledge