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BMJ Open. 2022 Mar 25;12(3):e055008. doi: 10.1136/bmjopen-2021-055008.
2
Temporal variation in out-of-hospital cardiac arrest occurrence in individuals with or without diabetes.有或无糖尿病个体院外心脏骤停发生的时间变化
Resusc Plus. 2021 Sep 22;8:100167. doi: 10.1016/j.resplu.2021.100167. eCollection 2021 Dec.
3
The lay descriptors of out-of-hospital cardiac arrest in the Western Cape province, South Africa.南非西开普省院外心脏骤停的通俗描述
Resusc Plus. 2021 Jun 23;7:100146. doi: 10.1016/j.resplu.2021.100146. eCollection 2021 Sep.
4
Out-of-hospital cardiac arrests in the city of Cape Town, South Africa: a retrospective, descriptive analysis of prehospital patient records.南非开普敦市院外心脏骤停:回顾性描述性分析院前患者记录。
BMJ Open. 2021 Aug 16;11(8):e049141. doi: 10.1136/bmjopen-2021-049141.
5
Seasonal variation in incidence and outcomes of out of hospital cardiac arrest: A retrospective national observational study in the United States.季节性变化与院外心脏骤停发病和结局的关系:美国一项全国回顾性观察研究。
Medicine (Baltimore). 2021 May 7;100(18):e25643. doi: 10.1097/MD.0000000000025643.
6
Part 3: Adult Basic and Advanced Life Support: 2020 American Heart Association Guidelines for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care.第3部分:成人基础及高级生命支持:2020年美国心脏协会心肺复苏及心血管急救指南。
Circulation. 2020 Oct 20;142(16_suppl_2):S366-S468. doi: 10.1161/CIR.0000000000000916. Epub 2020 Oct 21.
7
Clinical outcomes from out-of-hospital cardiac arrest in low-resource settings - A scoping review.资源匮乏地区院外心脏骤停的临床结局——一项范围综述
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8
Cost-effectiveness of emergency care interventions in low and middle-income countries: a systematic review.中低收入国家急救护理干预措施的成本效益:系统评价。
Bull World Health Organ. 2020 May 1;98(5):341-352. doi: 10.2471/BLT.19.241158. Epub 2020 Feb 25.
9
Impact of Transport Time and Cardiac Arrest Centers on the Neurological Outcome After Out-of-Hospital Cardiac Arrest: A Retrospective Cohort Study.院外心脏骤停后转运时间和心脏骤停中心对神经预后的影响:一项回顾性队列研究。
J Am Heart Assoc. 2020 Jun 2;9(11):e015544. doi: 10.1161/JAHA.119.015544. Epub 2020 May 27.
10
Occurrence of shockable rhythm in out-of-hospital cardiac arrest over time: A report from the COSTA group.院外心脏骤停时可电击心律随时间的发生情况:COSTA 组报告
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南非西开普省开普敦大都市地区院外心脏骤停:时空分析。

Out-of-hospital cardiac arrests in the city of Cape Town metropole of the Western Cape province of South Africa: a spatio-temporal analysis.

机构信息

Division of Emergency Medicine, University of Cape Town, Cape Town, South Africa. Email:

Division of Emergency Medicine, University of Cape Town, Cape Town, South Africa.

出版信息

Cardiovasc J Afr. 2022;33(5):260-266. doi: 10.5830/CVJA-2022-019. Epub 2022 Jun 8.

DOI:10.5830/CVJA-2022-019
PMID:35687073
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9887433/
Abstract

BACKGROUND

The incidence of out-of-hospital cardiac arrest (OHCA) is expected to increase in sub-Saharan Africa along with the incidence of cardiovascular disease. In low-resource settings (LRS), OHCA carries a negligible survival rate. Interventions to improve OHCA survival might not be cost effective for many LRS, and therefore need to be targeted to areas of high incidence. The aim of this study was to describe the temporal and geographic distribution of OHCA in the City of Cape Town, South Africa, and their proximity to percutaneous coronary intervention (PCI) resources.

METHODS

In this retrospective study, OHCA data between 1 January and 31 December 2018 were extracted from public and one private emergency medical services in the Western Cape. For temporal analysis, distribution of OHCA according to time of day, day of the week and month of the year were subjected to chi-squared testing. For geospatial analysis, cluster and outlier, and hotspot analyses were performed. Proximity analysis was employed to determine the driving time from OHCA location to the closest PCI-capable facility.

RESULTS

A total of 929 patients with OHCA received an emergency medical services response in the City of Cape Town, corresponding to an annual prevalence of 23.2 per 100 000 persons. The distribution of OHCA incidence was not explained by month of the year ( = 0.08) or day of the week ( = 0.67). A statistically significant variation in OHCA incidence was explained by time of day ( < 0.01) with 30% ( = 279) of all OHCAs occurring from 05:00 to 09:59. Geospatial analysis yielded a large area of hotspots (99% confidence interval) over the centre of the metropole, Cape Flats and southern suburbs. The median (interquartile range) driving time from the incident to the closest PCI-capable facility was 10:22 (08:05) minutes.

CONCLUSIONS

Incidents of OHCA occurred predominantly at home during the mid-morning, with hotspots around the city centre and residential suburbs of Cape Town. While the incidents occurred close to PCI-capable facilities, some areas remained underserved and access to PCI for OHCA victims may be impossible due to socio-economic factors. With an increase in OHCA incidence expected, it is essential that contextual, cost-effective management interventions be developed and implemented.

摘要

背景

随着心血管疾病发病率的上升,撒哈拉以南非洲地区的院外心脏骤停(OHCA)发病率预计将会增加。在资源匮乏地区(LRS),OHCA 的存活率微乎其微。对于许多 LRS 来说,提高 OHCA 生存率的干预措施可能并不具有成本效益,因此需要针对发病率较高的地区进行靶向治疗。本研究旨在描述南非开普敦市 OHCA 的时间和地理分布及其与经皮冠状动脉介入治疗(PCI)资源的接近程度。

方法

在这项回顾性研究中,从西开普省的一家公共和一家私人紧急医疗服务机构中提取了 2018 年 1 月 1 日至 12 月 31 日期间的 OHCA 数据。为了进行时间分析,根据一天中的时间、一周中的天数和一年中的月份对 OHCA 的分布进行了卡方检验。为了进行地理空间分析,进行了聚类和异常值以及热点分析。采用接近度分析来确定从 OHCA 地点到最近的具备 PCI 能力的设施的行车时间。

结果

在开普敦市,共有 929 名 OHCA 患者接受了紧急医疗服务响应,其年患病率为每 100000 人 23.2 例。OHCA 发病率的分布与月份( = 0.08)或周几( = 0.67)无关。一天中的时间( < 0.01)可以很好地解释 OHCA 发病率的变化,其中 30%( = 279)的 OHCA 发生在 05:00 至 09:59 之间。地理空间分析显示,大都市中心、开普弗拉特和南部郊区的热点区域(99%置信区间)很大。从事件地点到最近的具备 PCI 能力的设施的中位(四分位距)行车时间为 10:22(08:05)分钟。

结论

OHCA 事件主要发生在上午家中,市中心和开普敦的居民区周围有热点。尽管事件发生在靠近具备 PCI 能力的设施附近,但由于社会经济因素,一些地区的服务仍然不足,OHCA 患者可能无法获得 PCI。随着 OHCA 发病率的增加,必须制定和实施具有背景和成本效益的管理干预措施。