Center for Cardiac Arrest Prevention, Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Health System, Los Angeles, CA, USA.
Ventura County Health Care Agency, Ventura, CA, USA.
Lancet Digit Health. 2023 Nov;5(11):e763-e773. doi: 10.1016/S2589-7500(23)00147-4. Epub 2023 Aug 26.
Sudden cardiac arrest is a global public health problem with a mortality rate of more than 90%. Prearrest warning symptoms could be harnessed using digital technology to potentially improve survival outcomes. We aimed to estimate the strength of association between symptoms and imminent sudden cardiac arrest.
We conducted a case-control study of individuals with sudden cardiac arrest and participants without sudden cardiac arrest who had similar symptoms identified from two US community-based studies of patients with sudden cardiac arrest in California state, USA (discovery population; the Ventura Prediction of Sudden Death in Multi-Ethnic Communities [PRESTO] study), and Oregon state, USA (replication population; the Oregon Sudden Unexpected Death Study [SUDS]). Participant data were obtained from emergency medical services reports for people aged 18-85 years with witnessed sudden cardiac arrest (between Feb 1, 2015, and Jan 31, 2021) and an inclusion symptom. Data were also obtained from corresponding control populations without sudden cardiac arrest who were attended by emergency medical services for similar symptoms (between Jan 1 and Dec 31, 2019). We evaluated the association of symptoms with sudden cardiac arrest in the discovery population and validated our results in the replication population by use of logistic regression models.
We identified 1672 individuals with sudden cardiac arrest from the PRESTO study, of whom 411 patients (mean age 65·7 [SD 12·4] years; 125 women and 286 men) were included in the analysis for the discovery population. From a total of 76 734 calls to emergency medical services, 1171 patients (mean age 61·8 [SD 17·3] years; 643 women, 514 men, and 14 participants without data for sex) were included in the control group. Patients with sudden cardiac arrest were more likely to have dyspnoea (168 [41%] of 411 vs 262 [22%] of 1171; p<0·0001), chest pain (136 [33%] vs 296 [25%]; p=0·0022), diaphoresis (50 [12%] vs 90 [8%]; p=0·0059), and seizure-like activity (43 [11%] vs 77 [7%], p=0·011). Symptom frequencies and patterns differed significantly by sex. Among men, chest pain (odds ratio [OR] 2·2, 95% CI 1·6-3·0), dyspnoea (2·2, 1·6-3·0), and diaphoresis (1·7, 1·1-2·7) were significantly associated with sudden cardiac arrest, whereas among women, only dyspnoea was significantly associated with sudden cardiac arrest (2·9, 1·9-4·3). 427 patients with sudden cardiac arrest (mean age 62·2 [SD 13·5]; 122 women and 305 men) were included in the analysis for the replication population and 1238 patients (mean age 59·3 [16·5] years; 689 women, 548 men, and one participant missing data for sex) were included in the control group. Findings were mostly consistent in the replication population; however, notable differences included that, among men, diaphoresis was not associated with sudden cardiac arrest and chest pain was associated with sudden cardiac arrest only in the sex-stratified multivariable analysis.
The prevalence of warning symptoms was sex-specific and differed significantly between patients with sudden cardiac arrest and controls. Warning symptoms hold promise for prediction of imminent sudden cardiac arrest but might need to be augmented with additional features to maximise predictive power.
US National Heart Lung and Blood Institute.
心脏骤停是一个全球性的公共卫生问题,死亡率超过 90%。可以利用数字技术利用预先存在的警告症状,从而有可能改善生存结果。我们的目的是评估症状与即将发生的心脏骤停之间的关联强度。
我们对美国加利福尼亚州和俄勒冈州两个社区发生的心脏骤停患者(发现人群; Ventura 多民族社区猝死预测研究[PRESTO]研究)和美国俄勒冈州没有心脏骤停的参与者(复制人群;俄勒冈州猝死意外研究[SUDS])进行了病例对照研究。参与者的数据来自急救医疗服务报告,包括年龄在 18-85 岁之间、目击的心脏骤停(2015 年 2 月 1 日至 2021 年 1 月 31 日)和包含症状的患者,还包括由急救医疗服务机构因类似症状就诊的无心脏骤停的相应对照人群(2019 年 1 月 1 日至 12 月 31 日)。我们使用逻辑回归模型评估了症状与发现人群中心脏骤停的关联,并在复制人群中验证了我们的结果。
我们从 PRESTO 研究中确定了 1672 例心脏骤停患者,其中 411 例患者(平均年龄 65.7 [12.4] 岁;女性 125 例,男性 286 例)被纳入发现人群的分析。在总共 76734 次拨打急救医疗服务的电话中,有 1171 例患者(平均年龄 61.8 [17.3] 岁;女性 643 例,男性 514 例,14 例患者性别数据缺失)被纳入对照组。与对照组相比,心脏骤停患者更有可能出现呼吸困难(411 例中的 168 例[41%] vs 1171 例中的 262 例[22%];p<0.0001)、胸痛(411 例中的 136 例[33%] vs 1171 例中的 296 例[25%];p=0.0022)、出汗(411 例中的 50 例[12%] vs 1171 例中的 90 例[8%];p=0.0059)和类似癫痫发作的活动(411 例中的 43 例[11%] vs 1171 例中的 77 例[7%];p=0.011)。症状的频率和模式在性别上有显著差异。在男性中,胸痛(比值比[OR] 2.2,95%CI 1.6-3.0)、呼吸困难(2.2,1.6-3.0)和出汗(1.7,1.1-2.7)与心脏骤停显著相关,而在女性中,只有呼吸困难与心脏骤停显著相关(2.9,1.9-4.3)。我们对 427 例心脏骤停患者(平均年龄 62.2 [13.5] 岁;女性 122 例,男性 305 例)进行了分析,对 1238 例心脏骤停患者(平均年龄 59.3 [16.5] 岁;女性 689 例,男性 548 例,一名参与者性别数据缺失)进行了分析。结果在复制人群中基本一致;然而,值得注意的是,在男性中,出汗与心脏骤停无关,胸痛仅在性别分层多变量分析中与心脏骤停相关。
预警症状的患病率具有性别特异性,并且在心脏骤停患者和对照组之间存在显著差异。预警症状有望预测即将发生的心脏骤停,但可能需要额外的特征来增强预测能力。
美国国家心肺血液研究所。