Sensitivity and specificity of phrenic nerve electrophysiology to predict mechanical ventilation in the Guillain‐Barré syndrome

Author:

Naresh Kancha1,Roy Anupama2,Srivastava Shreya2,Premkumar Paul2,Nair Aditya1,Mani Arun Mathai1ORCID,Shaikh Atif1,Thirumal Prabhakar Appaswamy1ORCID,Sivadasan Ajith1ORCID,Mathew Vivek1,Premkumar Prasanna Samuel3,Benjamin Rohit1ORCID

Affiliation:

1. Neurology, Department of Neurosciences Christian Medical College Vellore Tamil Nadu India

2. Neuro‐Electrophysiology Laboratory, Department of Neurosciences Christian Medical College Vellore Vellore Tamil Nadu India

3. Department of Biostatistics Christian Medical College Vellore Vellore Tamil Nadu India

Abstract

AbstractIntroduction/AimsIn Guillain–Barré syndrome (GBS), the sensitivity and specificity of phrenic compound muscle action potential (CMAP) measurements to predict endotracheal mechanical ventilation are unknown. Hence, we sought to estimate sensitivity and specificity.MethodsWe performed a 10‐year retrospective analysis of adult GBS patients from our single‐center laboratory database (2009 to 2019). The phrenic nerve amplitudes and latencies before ventilation were recorded along with other clinical and demographic features. Receiver operating curve (ROC) analysis with area under the curve (AUC) was used to determine the sensitivity and specificity with 95% confidence interval (CI) for phrenic amplitudes and latencies in predicting the need for mechanical ventilation.ResultsTwo hundred five phrenic nerves were analyzed in 105 patients. The mean age was 46.1 ± 16.2 years, with 60% of them being male. Fourteen patients (13.3%) required mechanical ventilation. The average phrenic amplitudes were lower in the ventilated group (P = .003), but average latencies did not differ (P = .133). ROC analysis confirmed that phrenic amplitudes could predict respiratory failure (AUC = 0.76; 95% CI, 0.61 to 0.91; P < .002), but phrenic latencies could not (AUC = 0.60; 95% CI, 0.46 to 0.73; P = .256). The best threshold for amplitude was ≥0.6 mV, with sensitivity, specificity, and positive and negative predictive values of 85.7%, 58.2%, 24.0%, and 96.4%, respectively.DiscussionOur study suggests that phrenic CMAP amplitudes can predict the need for mechanical ventilation in GBS. In contrast, phrenic CMAP latencies are not reliable. The high negative predictive value of phrenic CMAP amplitudes ≥0.6 mV can preclude mechanical ventilation, making these a useful adjunct to clinical decision‐making.

Publisher

Wiley

Subject

Physiology (medical),Cellular and Molecular Neuroscience,Neurology (clinical),Physiology

Reference23 articles.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3