Jolande Zijlstra

Improved Survival After Out-of-Hospital Cardiac Arrest and Use of Automated External Defibrillators

Background— In recent years, a wider use of automated external defibrillators (AEDs) to treat out-of-hospital cardiac arrest was advocated in The Netherlands. We aimed to establish whether survival with favorable neurologic outcome after out-of-hospital cardiac arrest has significantly increased, and, if so, whether this is attributable to AED use. Methods and Results— We performed a population-based cohort study, including patients with out-of-hospital cardiac arrest from cardiac causes between 2006 and 2012, excluding emergency medical service–witnessed arrests. We determined survival status at each stage (to emergency department, to admission, and to discharge) and examined temporal trends using logistic regression analysis with year of resuscitation as an independent variable. By adding each covariable subsequently to the regression model, we investigated their impact on the odds ratio of year of resuscitation. Analyses were performed according to initial rhythm (shockable versus nonshockable) and AED use. Rates of survival with favorable neurologic outcome after out-of-hospital cardiac arrest increased significantly (N=6133, 16.2% to 19.7%; P for trend=0.021), although solely in patients presenting with a shockable initial rhythm (N=2823; 29.1% to 41.4%; P for trend<0.001). In this group, survival increased at each stage but was strongest in the prehospital phase (odds ratio, 1.11 [95% CI, 1.06–1.16]). Rates of AED use almost tripled during the study period (21.4% to 59.3%; P for trend <0.001), thereby decreasing time from emergency call to defibrillation-device connection (median, 9.9 to 8.0 minutes; P<0.001). AED use statistically explained increased survival with favorable neurologic outcome by decreasing the odds ratio of year of resuscitation to a nonsignificant 1.04. Conclusions— Increased AED use is associated with increased survival in patients with a shockable initial rhythm. We recommend continuous efforts to introduce or extend AED programs.

Local lay rescuers with AEDs, alerted by text messages, contribute to early defibrillation in a Dutch out-of-hospital cardiac arrest dispatch system☆

AIM Public access defibrillation rarely reaches out-of-hospital cardiac arrest (OHCA) patients in residential areas. We developed a text message (TM) alert system, dispatching local lay rescuers (TM-responders). We analyzed the functioning of this system, focusing on response times and early defibrillation in relation to other responders. METHODS In July 2013, 14112 TM-responders and 1550 automated external defibrillators (AEDs) were registered in a database residing with the dispatch center of two regions of the Netherlands. TM-responders living <1000m radius of the patient received a TM to go to the patient directly, or were directed to retrieve an AED first. We analyzed 1536 OHCA patients where a defibrillator was connected from February 2010 until July 2013. Electrocardiograms from all defibrillators were analyzed for connection and defibrillation time. RESULTS Of all OHCAs, the dispatcher activated the TM-alert system 893 times (58.1%). In 850 cases ≥1 TM-responder received a TM-alert and in 738 cases ≥1 AED was available. A TM-responder AED was connected in 184 of all OHCAs (12.0%), corresponding with 23.1% of all connected AEDs. Of all used TM-responder AEDs, 87.5% were used in residential areas, compared to 71.6% of all other defibrillators. TM-responders with AEDs defibrillated mean 2:39 (min:sec) earlier compared to emergency medical services (median interval 8:00 [25-75th percentile, 6:35-9:49] vs. 10:39 [25-75th percentile, 8:18-13:23], P<0.001). Of all shocking TM-responder AEDs, 10.5% delivered a shock ≤6min after call. CONCLUSION A TM-alert system that includes local lay rescuers and AEDs contributes to earlier defibrillation in OHCA, particularly in residential areas.

Causes for the declining proportion of ventricular fibrillation in out-of-hospital cardiac arrest

AIMS The reported proportion of ventricular fibrillation (VF) in out-of-hospital cardiac arrest (OHCA) has declined worldwide. VF decline may be caused by less VF at collapse and/or faster dissolution of VF into asystole. We aimed to determine the causes of VF decline by comparing VF proportions in relation to delay from emergency medical services (EMS) call to initial ECG (call-to-ECG delay), and VF dissolution rates between two study periods. METHODS Data from the AmsteRdam REsuscitation STudies (ARREST), an ongoing OHCA registry in the Netherlands, were used. We studied cardiac OHCA in the study periods 1995-1997 (n=917) and 2006-2012 (n=5695). Cases with available ECG and information on call-to-ECG delay were included. We tested whether initial VF proportion and VF dissolution rates differed between both study periods using logistic regression. RESULTS Despite a 15% VF decline between the periods, VF proportion around EMS call remained high in 2006-2012 (64%). The odds ratio (OR) for VF proportion in 2006-2012 vs. 1995-1997 was 0.52 (95%-CI 0.45-0.60, P<0.001), with similar rates of VF dissolution in both periods (P=0.83). VF decline was higher for unwitnessed collapse (OR 0.41, 95%-CI 0.28-0.58) and collapse at home (OR 0.50, 95%-CI 0.42-0.59), but not for categories of bystander CPR, age or sex. CONCLUSION VF proportion early after collapse remains high. VF decline is explained by the occurrence of less initial VF, rather than faster dissolving VF. An increase in unwitnessed OHCA and collapse at home contributes to the observed VF decline.

Psychological impact on dispatched local lay rescuers performing bystander cardiopulmonary resuscitation

AIM We studied the short-term psychological impact and post-traumatic stress disorder (PTSD)-related symptoms in lay rescuers performing cardiopulmonary resuscitation (CPR) after a text message (TM)-alert for out-of-hospital-cardiac arrest, and assessed which factors contribute to a higher level of PTSD-related symptoms. METHODS The lay rescuers received a TM-alert and simultaneously an email with a link to an online questionnaire. We analyzed all questionnaires from February 2013 until October 2014 measuring the short-term psychological impact. We interviewed by telephone all first arriving lay rescuers performing bystander CPR and assessed PTSD-related symptoms with the Impact of Event Scale (IES) 4-6 weeks after the resuscitation. IES-scores 0-8 reflected no stress, 9-25 mild, 26-43 moderate, and 44-75 severe stress. A score ≥ 26 indicated PTSD symptomatology. RESULTS Of all alerted lay rescuers, 6572 completed the online questionnaire. Of these, 1955 responded to the alert and 507 assisted in the resuscitation. We interviewed 203 first arriving rescuers of whom 189 completed the IES. Of these, 41% perceived no/mild short-term impact, 46% bearable impact and 13% severe impact. On the IES, 81% scored no stress and 19% scored mild stress. None scored moderate or severe stress. Using a multivariable logistic regression model we identified three factors with an independent impact on mild stress level: no automated external defibrillator connected by the lay rescuer, severe short-term impact, and no (very) positive experience. CONCLUSION Lay rescuers alerted by text messages, do not show PTSD-related symptoms 4-6 weeks after performing bystander CPR, even if they perceive severe short-term psychological impact.