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使用镇痛/伤害感受指数监测心率变异性是否可预测 COVID-19 危重症患者的疾病严重程度和死亡率?一项初步研究。

Is the heart rate variability monitoring using the analgesia nociception index a predictor of illness severity and mortality in critically ill patients with COVID-19? A pilot study.

机构信息

Department of Anesthesia, Resuscitation and Pain Therapy, Mostoles General University Hospital, Mostoles, Madrid, Spain.

Morphological Madrid Research Center (MoMaRC), Ultradissection Spain EchoTraining School, Madrid, Spain.

出版信息

PLoS One. 2021 Mar 24;16(3):e0249128. doi: 10.1371/journal.pone.0249128. eCollection 2021.

Abstract

INTRODUCTION

The analysis of heart rate variability (HRV) has proven to be an important tool for the management of autonomous nerve system in both surgical and critically ill patients. We conducted this study to show the different spectral frequency and time domain parameters of HRV as a prospective predictor for critically ill patients, and in particular for COVID-19 patients who are on mechanical ventilation. The hypothesis is that most severely ill COVID-19 patients have a depletion of the sympathetic nervous system and a predominance of parasympathetic activity reflecting the remaining compensatory anti-inflammatory response.

MATERIALS AND METHODS

A single-center, prospective, observational pilot study which included COVID-19 patients admitted to the Surgical Intensive Care Unit was conducted. The normalized high-frequency component (HFnu), i.e. ANIm, and the standard deviation of RR intervals (SDNN), i.e. Energy, were recorded using the analgesia nociception index monitor (ANI). To estimate the severity and mortality we used the SOFA score and the date of discharge or date of death.

RESULTS

A total of fourteen patients were finally included in the study. ANIm were higher in the non-survivor group (p = 0.003) and were correlated with higher IL-6 levels (p = 0.020). Energy was inversely correlated with SOFA (p = 0.039) and fewer survival days (p = 0.046). A limit value at 80 of ANIm, predicted mortalities with a sensitivity of 100% and specificity of 85.7%. In the case of Energy, a limit value of 0.41 ms predicted mortality with all predictive values of 71.4%.

CONCLUSION

A low autonomic nervous system activity, i.e. low SDNN or Energy, and a predominance of the parasympathetic system, i.e. low HFnu or ANIm, due to the sympathetic depletion in COVID-19 patients are associated with a worse prognosis, higher mortality, and higher IL-6 levels.

摘要

简介

心率变异性(HRV)的分析已被证明是手术和危重症患者自主神经系统管理的重要工具。我们进行这项研究是为了展示 HRV 的不同频域和时域参数作为危重症患者的前瞻性预测指标,特别是对于正在接受机械通气的 COVID-19 患者。假设是,大多数病情严重的 COVID-19 患者交感神经系统耗竭,副交感神经活动占主导地位,反映出剩余的抗炎反应。

材料和方法

进行了一项单中心、前瞻性、观察性的试点研究,纳入了入住外科重症监护病房的 COVID-19 患者。使用镇痛-伤害指数监测仪(ANI)记录归一化高频成分(HFnu),即 ANIm,和 RR 间期标准差(SDNN),即能量。使用 SOFA 评分和出院或死亡日期来评估严重程度和死亡率。

结果

最终有 14 名患者纳入研究。非幸存者组的 ANIm 较高(p = 0.003),与较高的 IL-6 水平相关(p = 0.020)。能量与 SOFA 呈负相关(p = 0.039)和存活天数较少(p = 0.046)。ANIm 的 80 限值预测死亡率的灵敏度为 100%,特异性为 85.7%。对于 Energy,0.41ms 的限值预测死亡率的所有预测值为 71.4%。

结论

COVID-19 患者自主神经活动降低,即 SDNN 或 Energy 降低,副交感神经系统占主导地位,即 HFnu 或 ANIm 降低,由于交感神经耗竭,与预后较差、死亡率较高和 IL-6 水平较高相关。

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