心血管药物对急诊科早期败血症患者心率变异性的影响:前瞻性队列研究

Lindsy van der Laan, Raymond J. van Wijk, Vincent M. Quinten, Hjalmar R. Bouma, Jan C. ter Maaten
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摘要

我们的 SepsiVit 研究表明,自动分析的长期心电图记录可用于确定与急诊室早期脓毒症患者临床恶化相关的心率变异性(HRV)特征。本研究的重点是心血管药物对急诊室早期脓毒症患者心率变异性的影响。本研究是我们的 SepsiVit 研究的一项探索性事后分析。符合条件的患者被连接到移动床旁监护仪上,进行连续心电图测量。本研究对前 3 个小时进行分析。在 2017 年 1 月至 2018 年 12 月期间,171 名患者被纳入早期脓毒症患者,其定义为感染和两个或两个以上全身炎症反应综合征标准。由于测量数据不足,我们排除了 16 名患者。因此,我们在最终分析中纳入了 155 名患者:72.9% 的患者患有脓毒症,2.6% 的患者患有脓毒性休克,24.5% 的患者被归类为感染。9.0%的患者服用了直接影响心脏收缩力的药物,22.6%的患者服用了间接影响心脏收缩力的药物。17.4%的患者同时使用了这两种药物。大多数患者(51.0%)没有使用任何心血管药物。同时使用直接和间接药物的患者比未使用心血管药物的患者平均年龄大 10 岁(P 0.037)。使用心血管药物的患者在生命体征或心率变异参数方面没有发现差异。我们的研究结果表明,心率变异不受心血管药物的影响。因此,在分析、建模和解释这些信号时,没有必要因使用心血管药物而对心率变异特征进行校正。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The Effect of Cardiovascular Medication on Heart Rate Variability in Patients Presenting with Early Sepsis at the Emergency Department: A Prospective Cohort Study

The Effect of Cardiovascular Medication on Heart Rate Variability in Patients Presenting with Early Sepsis at the Emergency Department: A Prospective Cohort Study

Our SepsiVit study showed that long-term, automatically analyzed ECG recordings can be used to determine heart rate variability (HRV) features associated with the clinical deterioration of early septic patients at the ED. This study focus on the influence of cardiovascular medication on HRV in patients with early sepsis at the ED. This study is an exploratory post-hoc analysis of our SepsiVit study. Eligible patients were connected to a mobile bedside monitor for continuously ECG measurements. The first 3 hours were analyzed for this study. Between January 2017 and December 2018, 171 patients were included with early sepsis, defined as infection and two or more systemic inflammatory response syndrome criteria. We excluded sixteen patients because of insufficient measurements. Therefore, we included 155 patients in the final analysis: 72.9% with sepsis, 2.6% with septic shock, and 24.5% classified as infection. In 9.0% of the patients, medication directly impacting cardiac contractility was administered, while 22.6% received medication with an indirect effect. A combination of both types of medication was prescribed to 17.4% of the patients. The majority of patients (51.0%) did not utilize any cardiovascular medication. Patients using both medication with direct and indirect effect were on average 10 years older than patients using no cardiovascular medication (p 0.037). No differences in vital signs or HRV parameters were found in patients using cardiovascular medication. Our results showed that HRV is not influenced by cardiovascular medication. Consequently, the correction of HRV features for the use of cardiovascular medication is unnecessary when analyzing, modelling, and interpreting these signals.

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