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严重意外低温症中心脏骤停的预测因素。

Predictors of cardiac arrest in severe accidental hypothermia.

机构信息

Department of Emergency Medicine, Jan Kochanowski University, Kielce, Poland.

Department of Anaesthesiology and Intensive Care, 1st Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic.

出版信息

Am J Emerg Med. 2024 Apr;78:145-150. doi: 10.1016/j.ajem.2024.01.031. Epub 2024 Jan 21.

Abstract

STUDY OBJECTIVE

To indicate predictors of witnessed hypothermic cardiac arrest.

METHODS

We conducted a retrospective analysis of 182 patients with severe accidental hypothermia (i.e., with core body temperature of ≤28 °C) who presented with preserved spontaneous circulation at first contact with medical services. We divided the study population into two groups: patients who suffered hypothermic cardiac arrest (HCA) at any time between encounter with medical service and restoration of normothermia, and those who did not sustain HCA. The analyzed outcome was the occurrence of cardiac arrest prior to achieving normothermia. Hemodynamic and biochemical parameters were analyzed with regard to their association with the outcome.

RESULTS

Fifty-two (29%) patients suffered HCA. In a univariable analysis, four variables were significantly associated with the outcome, namely heart rate (p < 0.001), systolic blood pressure (p = 0.03), ventricular arrhythmia (p = 0.001), and arterial oxygen partial pressure (p = 0.002). In the multivariable logistic regression the best model predicting HCA included heart rate, PaO, and Base Excess (AUROC = 0.78). In prehospital settings, when blood gas analysis is not available, other multivariable model including heart rate and occurrence of ventricular arrhythmia (AUROC = 0.74) can be used. In this study population, threshold values of heart rate of 43/min, temperature-corrected PaO of 72 mmHg, and uncorrected PaO of 109 mmHg, presented satisfactory sensitivity and specificity for HCA prediction.

CONCLUSIONS

In patients with severe accidental hypothermia, the occurrence of HCA is associated with a lower heart rate, hypoxemia, ventricular arrhythmia, lower BE, and lower blood pressure. These parameters can be helpful in the early selection of high-risk patients and their allocation to extracorporeal rewarming facilities.

摘要

研究目的

指出可观察到的低体温性心搏骤停的预测因素。

方法

我们对 182 例严重意外低体温(即核心体温≤28°C)患者进行了回顾性分析,这些患者在首次接触医疗服务时存在自主循环。我们将研究人群分为两组:在接触医疗服务和恢复正常体温之间的任何时间发生低体温性心搏骤停(HCA)的患者,以及未发生 HCA 的患者。分析的结果是在达到正常体温之前发生心搏骤停。分析了与结果相关的血流动力学和生化参数。

结果

52(29%)例患者发生 HCA。在单变量分析中,有四个变量与结果显著相关,即心率(p<0.001)、收缩压(p=0.03)、室性心律失常(p=0.001)和动脉血氧分压(p=0.002)。在多变量逻辑回归中,预测 HCA 的最佳模型包括心率、PaO 和碱剩余(AUROC=0.78)。在院前环境中,当无法进行血气分析时,可以使用包括心率和室性心律失常发生在内的其他多变量模型(AUROC=0.74)。在本研究人群中,心率为 43/min、温度校正后的 PaO 为 72mmHg 和未校正的 PaO 为 109mmHg 的阈值值对 HCA 预测具有较好的敏感性和特异性。

结论

在严重意外低体温患者中,HCA 的发生与心率较低、低氧血症、室性心律失常、更低的 BE 和更低的血压有关。这些参数有助于早期选择高危患者并将其分配到体外复温设备。

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