Uber Amy, Sadler Richard C, Chassee Todd, Reynolds Joshua C
Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, MA.
Michigan State University College of Human Medicine, Grand Rapids, MI.
Acad Emerg Med. 2017 Aug;24(8):930-939. doi: 10.1111/acem.13222. Epub 2017 Jun 19.
Geographic clustering of bystander cardiopulmonary resuscitation (CPR) is associated with demographic and socioeconomic features of the community where out-of-hospital cardiac arrest (OHCA) occurred, although this association remains largely untested in rural areas. With a significant rural component and relative racial homogeneity, Kent County, Michigan, provides a unique setting to externally validate or identify new community features associated with bystander CPR. Using a large, countywide data set, we tested for geographic clustering of bystander CPR and its associations with community socioeconomic features.
Secondary analysis of adult OHCA subjects (2010-2015) in the Cardiac Arrest Registry to Enhance Survival (CARES) data set for Kent County, Michigan. After linking geocoded OHCA cases to U.S. census data, we used Moran's I-test to assess for spatial autocorrelation of population-weighted cardiac arrest rate by census block group. Getis-Ord Gi statistic assessed for spatial clustering of bystander CPR and mixed-effects hierarchical logistic regression estimated adjusted associations between community features and bystander CPR.
Of 1,592 subjects, 1,465 met inclusion criteria. Geospatial analysis revealed significant clustering of OHCA in more populated/urban areas. Conversely, bystander CPR was less likely in these areas (99% confidence) and more likely in suburban and rural areas (99% confidence). Adjusting for clinical, demographic, and socioeconomic covariates, bystander CPR was associated with public location (odds ratio [OR] = 1.19; 95% confidence interval [CI] = 1.03-1.39), initially shockable rhythms (OR = 1.48; 95% CI = 1.12-1.96), and those in urban neighborhoods (OR = 0.54; 95% CI = 0.38-0.77).
Out-of-hospital cardiac arrest and bystander CPR are geographically clustered in Kent County, Michigan, but bystander CPR is inversely associated with urban designation. These results offer new insight into bystander CPR patterns in mixed urban and rural regions and afford the opportunity for targeted community CPR education in areas of low bystander CPR prevalence.
院外心脏骤停(OHCA)发生地的旁观者心肺复苏(CPR)存在地理聚集现象,这与社区的人口统计学和社会经济特征有关,尽管这种关联在农村地区仍未得到充分验证。密歇根州肯特县农村人口占比高且种族相对单一,为外部验证或识别与旁观者心肺复苏相关的新社区特征提供了独特环境。我们利用一个大型的全县数据集,对旁观者心肺复苏的地理聚集及其与社区社会经济特征的关联进行了测试。
对密歇根州肯特县心脏骤停登记以提高生存率(CARES)数据集中的成年院外心脏骤停受试者(2010 - 2015年)进行二次分析。将地理编码的院外心脏骤停病例与美国人口普查数据关联后,我们使用莫兰氏I检验评估按普查街区组划分的人口加权心脏骤停率的空间自相关性。Getis - Ord Gi统计量评估旁观者心肺复苏的空间聚集情况,混合效应分层逻辑回归估计社区特征与旁观者心肺复苏之间的调整关联。
在1592名受试者中,1465名符合纳入标准。地理空间分析显示,院外心脏骤停在人口较多/城市地区存在显著聚集。相反,这些地区的旁观者心肺复苏可能性较小(99%置信度),而在郊区和农村地区可能性较大(99%置信度)。在对临床、人口统计学和社会经济协变量进行调整后,旁观者心肺复苏与公共场所(优势比[OR] = 1.19;95%置信区间[CI] = 1.03 - 1.39)、初始可电击心律(OR = 1.48;95% CI = 1.12 - 1.96)以及城市社区居民(OR = 0.54;95% CI = 0.38 - 0.77)有关。
在密歇根州肯特县,院外心脏骤停和旁观者心肺复苏存在地理聚集现象,但旁观者心肺复苏与城市地区呈负相关。这些结果为城乡混合地区的旁观者心肺复苏模式提供了新的见解,并为旁观者心肺复苏普及率较低地区的针对性社区心肺复苏教育提供了机会。