University of New Mexico Department of Emergency Medicine, United States of America.
University of New Mexico Department of Emergency Medicine, United States of America.
Am J Emerg Med. 2019 Aug;37(8):1505-1509. doi: 10.1016/j.ajem.2018.11.009. Epub 2018 Nov 8.
Field sepsis alerts have the ability to expedite initial ED sepsis treatment. Our hypothesis is that in patients that meet EMS sepsis alert criteria there is a strong relationship between prehospital end-tidal carbon dioxide (ETCO2) readings and the outcome of diagnosed infection.
In 2014, our EMS service initiated a protocol requiring hospitals to receive notification of a "sepsis alert" on all suspected sepsis patients. The EMS service transports 70,000 patients/year to a number of urban centers. All patients transported to our major urban teaching hospital by our EMS service in one year in which a sepsis alert was announced were included in this study. The primary outcome variable was diagnosed infection and secondary outcomes were hospital admission, ICU admission and mortality. Positive lactate was defined as >4.0 mmol/L. ROC curve analysis was used to define the best cutoff for ETCO2.
351 patients were announced as EMS sepsis alert patients and transported to our center over a one year period. Positive outcomes were as follows: diagnosed infection in 28% of patients, hospital admission in 63% and ICU admission in 11%. The correlation between lactate and ETCO2 was -0.45. A ROC curve analysis of ETCO2 vs. lactate >4 found that the best cutoff to predict a high lactate was an ETCO2 of 25 or less, which was considered a positive ETCO2 (AUC = 0.73). 27% of patients had a positive ETCO2 and 24% had a positive lactate. A positive ETCO2 predicted a positive lactate with 76% accuracy, 63% sensitivity and 80% specificity. 27% of those with a positive ETCO2 and 44% of those with a positive lactate had a diagnosed infection. 59% of those with a positive ETCO2 and 89% of those with a positive lactate had admission to the hospital. 15% of those with a positive ETCO2 and 18% of those with a positive lactate had admission to the ICU. Neither lactate nor ETCO2 were predictive of an increased risk for diagnosed infection, hospital admission or ICU admission in this patient population.
While ETCO2 predicted the initial ED lactate levels it did not predict diagnosed infection, admission to the hospital or ICU admission in our patient population but did predict mortality.
现场脓毒症警报有能力加快急诊脓毒症的初始治疗。我们的假设是,在符合 EMS 脓毒症警报标准的患者中,院前呼气末二氧化碳(ETCO2)读数与诊断感染的结果之间存在很强的关系。
2014 年,我们的 EMS 服务启动了一项协议,要求所有疑似脓毒症患者的医院接收“脓毒症警报”的通知。EMS 服务每年向多个城市中心运送 70000 名患者。在我们的 EMS 服务向我们的一个主要城市教学医院运送的一年中,宣布了一个脓毒症警报,所有患者都包括在这项研究中。主要的结果变量是诊断感染,次要结果是住院、入住 ICU 和死亡率。阳性乳酸定义为>4.0mmol/L。ROC 曲线分析用于定义 ETCO2 的最佳截断值。
在一年期间,有 351 名患者被宣布为 EMS 脓毒症警报患者并被送往我们的中心。阳性结果如下:28%的患者诊断为感染,63%的患者住院,11%的患者入住 ICU。乳酸与 ETCO2 的相关性为-0.45。ETCO2 与乳酸>4 的 ROC 曲线分析表明,预测高乳酸的最佳截断值是 ETCO2 为 25 或更低,这被认为是阳性 ETCO2(AUC=0.73)。27%的患者有阳性 ETCO2,24%的患者有阳性乳酸。阳性 ETCO2 预测阳性乳酸的准确率为 76%,敏感度为 63%,特异性为 80%。27%的 ETCO2 阳性患者和 44%的乳酸阳性患者被诊断为感染。59%的 ETCO2 阳性患者和 89%的乳酸阳性患者住院。15%的 ETCO2 阳性患者和 18%的乳酸阳性患者入住 ICU。在这一患者人群中,乳酸和 ETCO2 均不能预测诊断感染、住院或 ICU 入院的风险增加。
虽然 ETCO2 预测了初始 ED 乳酸水平,但它不能预测我们患者人群中的诊断感染、住院或 ICU 入院,但确实预测了死亡率。