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基于心电图自主神经指标预测疼痛:系统综述。

Prediction of pain using electrocardiographic-derived autonomic measures: A systematic review.

机构信息

Thisted Research Unit, Aalborg University Hospital Thisted, Thisted, Denmark.

Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.

出版信息

Eur J Pain. 2024 Feb;28(2):199-213. doi: 10.1002/ejp.2175. Epub 2023 Sep 1.

Abstract

BACKGROUND AND OBJECTIVE

Pain is a major clinical challenge, and understanding the pathophysiology is critical for optimal management. The autonomic nervous system reacts to pain stimuli, and autonomic dysfunction may predict pain sensation. The most used assessment of autonomic function is based on electrocardiographic measures, and the ability of such measures to predict pain was investigated.

DATABASES AND DATA TREATMENT

English articles indexed in PubMed and EMBASE were reviewed for eligibility and included when they reported electrocardiographic-derived measures' ability to predict pain response. The quality in prognostic studies (QUIPS) tool was used to assess the quality of the included articles.

RESULTS

The search revealed 15 publications, five on experimental pain, five on postoperative pain, and five on longitudinal clinical pain changes, investigating a total of 1069 patients. All studies used electrocardiographically derived parameters to predict pain assessed with pain thresholds using quantitative sensory testing or different scales. Across all study modalities, electrocardiographic measures were able to predict pain. Higher parasympathetic activity predicted decreased experimental, postoperative, and long-term pain in most cases while changes in sympathetic activity did not consistently predict pain.

CONCLUSIONS

Most studies demonstrated that parasympathetic activity could predict acute and chronic pain intensity. In the clinic, this may be used to identify which patients need more intensive care to prevent, for example postoperative pain and develop personalized chronic pain management.

SIGNIFICANCE

Pain is a debilitating problem, and the ability to predict occurrence and severity would be a useful clinical tool. Basal autonomic tone has been suggested to influence pain perception. This systematic review investigated electrocardiographic-derived autonomic tone and found that increased parasympathetic tone could predict pain reduction in different types of pain.

摘要

背景与目的

疼痛是一个主要的临床挑战,理解其病理生理学对于最佳管理至关重要。自主神经系统对疼痛刺激作出反应,自主功能障碍可能预测疼痛感觉。最常用的自主功能评估基于心电图测量,并且研究了这种测量方法预测疼痛的能力。

数据库和数据处理

对在 PubMed 和 EMBASE 中索引的英文文章进行了资格审查,并在其报告了心电图衍生测量预测疼痛反应能力的情况下将其纳入。使用预后研究质量(QUIPS)工具评估纳入文章的质量。

结果

搜索结果显示了 15 篇出版物,其中 5 篇关于实验性疼痛,5 篇关于术后疼痛,5 篇关于纵向临床疼痛变化,总共调查了 1069 名患者。所有研究都使用心电图衍生参数来预测使用定量感觉测试或不同量表评估的疼痛阈值的疼痛。在所有研究模式中,心电图测量都能够预测疼痛。大多数情况下,较高的副交感神经活动预示着实验性、术后和长期疼痛减轻,而交感神经活动的变化并未一致预测疼痛。

结论

大多数研究表明,副交感神经活动可以预测急性和慢性疼痛强度。在临床上,这可以用于识别哪些患者需要更密集的护理以预防例如术后疼痛,并制定个性化的慢性疼痛管理计划。

意义

疼痛是一种使人虚弱的问题,能够预测其发生和严重程度将是一个有用的临床工具。基础自主神经张力被认为会影响疼痛感知。本系统评价研究了心电图衍生的自主神经张力,并发现不同类型的疼痛中,增加的副交感神经张力可以预测疼痛减轻。

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