Barry Tomás, Kasemiire Alice, Quinn Martin, Deasy Conor, Bury Gerard, Masterson Siobhan, Segurado Ricardo, Murphy Andrew W
School of Medicine, University College Dublin, Ireland.
Duke-NUS Medical School, Singapore.
Resusc Plus. 2024 Jul 15;19:100712. doi: 10.1016/j.resplu.2024.100712. eCollection 2024 Sep.
To describe and explore predictors of bystander defibrillation in Ireland during the period 2012 to 2020. To examine the relationship between bystander defibrillation and health system developments.
National level Out of Hospital Cardiac Arrest (OHCA) registry data were interrogated, focusing on patients who had defibrillation performed. Bystander defibrillation (as compared to EMS initiated defibrillation) was the key outcome of concern. Logistic regression models were built and refined by fitting predictors, performing stepwise variable selection and by adding pairwise interactions that improved fit.
The data included 5,751 cases of OHCA where defibrillation was performed. Increasing year over time (OR 1.17, 95% CI 1.13, 1.21) was associated with increased adjusted odds of bystander defibrillation. Non-cardiac aetiology was associated with reduced adjusted odds of bystander defibrillation (OR 0.30, 95% CI 0.21, 0.42), as were increasing age in years (OR 0.99, 95% CI 0.987, 0.996) and night-time occurrence of OHCA (OR 0.67, 95% CI 0.53, 0.83). Six further variables in the final model (sex, call response interval, incident location (home or other), who witnessed collapse (bystander or not witnessed), urban or rural location, and the COVID period) were involved in significant interactions. Bystander defibrillation was in general less likely in urban settings and at home locations. Whilst women were less likely to receive bystander defibrillation overall, in witnessed OHCAs, occurring outside the home, in urban areas and outside of the COVID-19 period women were more likely, to receive bystander defibrillation.
Defibrillation by bystanders has increased incrementally over time in Ireland. Interventions to address sex and age-based disparities, alongside interventions to increase bystander defibrillation at night, in urban settings and at home locations are required.
描述并探究2012年至2020年期间爱尔兰旁观者除颤的预测因素。研究旁观者除颤与卫生系统发展之间的关系。
查询国家层面的院外心脏骤停(OHCA)登记数据,重点关注接受除颤治疗的患者。旁观者除颤(与急救医疗服务启动的除颤相比)是主要关注的结果。通过拟合预测因素、进行逐步变量选择以及添加能改善拟合度的成对交互项来构建和完善逻辑回归模型。
数据包括5751例接受除颤治疗的院外心脏骤停病例。随着时间推移年份增加(比值比1.17,95%置信区间1.13,1.21)与旁观者除颤调整后几率增加相关。非心脏病因与旁观者除颤调整后几率降低相关(比值比0.30,95%置信区间0.21,0.42),年龄逐年增加(比值比0.99,95%置信区间0.987,0.996)以及院外心脏骤停发生在夜间(比值比0.67,95%置信区间0.53,0.83)也与之相关。最终模型中的另外六个变量(性别、呼叫响应间隔、事件发生地点(家中或其他)、谁目睹了心脏骤停(旁观者或未被目睹)、城市或农村地点以及新冠疫情期间)参与了显著的交互作用。一般来说,在城市环境和家中地点旁观者除颤的可能性较小。虽然总体而言女性接受旁观者除颤的可能性较小,但在院外心脏骤停被目睹、发生在家外、城市地区且在新冠疫情期间之外的情况下,女性接受旁观者除颤的可能性更大。
在爱尔兰,旁观者除颤随时间逐渐增加。需要采取干预措施来解决基于性别和年龄的差异,同时采取干预措施增加夜间、城市环境和家中地点的旁观者除颤。