Heart rate variability as a marker of multiple organ dysfunction syndrome in deeply sedated, prepubescent patients: a secondary analysis.

IF 2.6 3区 医学 Q2 ANESTHESIOLOGY
Anne Wojtanowski, Côme Bureau, Mathieu Jeanne, Morgan Recher, Julien De Jonckheere
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引用次数: 0

Abstract

Multiple organ dysfunction syndrome (MODS) is a frequent complication in critically ill patients. The objective of the present study in a pediatric intensive care unit was to determine the feasibility of using HRV to differentiate between deeply sedated patients with medium/high MODS and those with no/low MODS. This was a secondary analysis of data from the ANI EP clinical study (NCT04913038). Various HRV indices were computed in a 10-minute time window. A patient with a pediatric Sequential Organ Failure Assessment (pSOFA) score higher than 5 was classified into the medium/high MODS group. Forty-seven patients were selected for analysis. The Energy variable (equivalent to the standard deviation of normal-to-normal intervals) was significantly correlated with the pSOFA score (r²=-0.31, p = 0.03). HFnu values were higher in the medium/high MODS group than in the no/low MODS group (0.35 vs. 0.28, respectively; p = 0.019), and HFnu discriminated between the two groups of patients with an area under the receiver operating characteristic curve of 0.75 (sensitivity = 0.78, specificity = 0.74). Energy was slightly but not significantly lower in the medium/high MODS group (0.17, vs. 0.35 in the no/mild MODS group; p = 0.086). The results of our study in a PICU showed that HRV indices can differentiate between deeply sedated patients with MODS and those without. Further investigations are needed to confirm this finding and extend it to other populations.

在深度镇静的青春期前患者中,心率变异性作为多器官功能障碍综合征的标志:一项次要分析。
多器官功能障碍综合征(MODS)是危重症患者的常见并发症。本研究在儿科重症监护室进行,目的是确定使用HRV区分深度镇静的中/高MODS患者和无/低MODS患者的可行性。这是对ANI EP临床研究(NCT04913038)数据的二次分析。在10分钟的时间窗内计算各种HRV指数。儿童顺序器官衰竭评估(pSOFA)评分高于5分的患者被分为中/高MODS组。选取47例患者进行分析。能量变量(相当于正态到正态间隔的标准差)与pSOFA评分显著相关(r²=-0.31,p = 0.03)。中/高MODS组的HFnu值高于无/低MODS组(分别为0.35 vs. 0.28, p = 0.019),两组患者的HFnu区分范围为受试者工作特征曲线下面积为0.75(敏感性= 0.78,特异性= 0.74)。中/高MODS组能量略低但不显著(0.17,无/轻度MODS组0.35;p = 0.086)。我们在PICU的研究结果表明,HRV指数可以区分深度镇静的MODS患者和非MODS患者。需要进一步的调查来证实这一发现并将其推广到其他人群。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.30
自引率
13.60%
发文量
144
审稿时长
6-12 weeks
期刊介绍: The Journal of Clinical Monitoring and Computing is a clinical journal publishing papers related to technology in the fields of anaesthesia, intensive care medicine, emergency medicine, and peri-operative medicine. The journal has links with numerous specialist societies, including editorial board representatives from the European Society for Computing and Technology in Anaesthesia and Intensive Care (ESCTAIC), the Society for Technology in Anesthesia (STA), the Society for Complex Acute Illness (SCAI) and the NAVAt (NAVigating towards your Anaestheisa Targets) group. The journal publishes original papers, narrative and systematic reviews, technological notes, letters to the editor, editorial or commentary papers, and policy statements or guidelines from national or international societies. The journal encourages debate on published papers and technology, including letters commenting on previous publications or technological concerns. The journal occasionally publishes special issues with technological or clinical themes, or reports and abstracts from scientificmeetings. Special issues proposals should be sent to the Editor-in-Chief. Specific details of types of papers, and the clinical and technological content of papers considered within scope can be found in instructions for authors.
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