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通过评估汗腺运动功能来检测小纤维神经病变的新设备——身体扫描仪的验证:与Sudoscan的一致性。

Validation of the Body Scan, a new device to detect small fiber neuropathy by assessment of the sudomotor function: agreement with the Sudoscan.

作者信息

Riveline Jean-Pierre, Mallone Roberto, Tiercelin Clarisse, Yaker Fetta, Alexandre-Heymann Laure, Khelifaoui Lysa, Travert Florence, Fertichon Claire, Julla Jean-Baptiste, Vidal-Trecan Tiphaine, Potier Louis, Gautier Jean-Francois, Larger Etienne, Lefaucheur Jean-Pascal

机构信息

Diabetology and Endocrinology Department, Lariboisière Hospital, Paris, France.

Diabetology Department, Cochin Hospital, Paris, France.

出版信息

Front Neurol. 2023 Oct 31;14:1256984. doi: 10.3389/fneur.2023.1256984. eCollection 2023.

Abstract

BACKGROUND

Sudomotor dysfunction is one of the earliest manifestations of small fiber neuropathy (SFN), reflecting the alteration of sympathetic C fiber innervation of the sweat glands. Among other techniques, such innervation can be assessed by measuring electrochemical skin conductance (ESC) in microsiemens (μS). In this study, ESC was measured at the feet to detect distal SFN. For this objective, the performance of a new device, the Body Scan (Withings, France), intended for home use, was compared with that of a reference device, the Sudoscan (Impeto Medical, France), which requires a hospital setting.

METHODS

In patients with diabetes with or without neuropathy or non-diabetic patients with lower-limb neuropathy, the diagnostic performance of the Body Scan measurement was assessed by calculating its sensitivity (Se) and specificity (Sp) to detect at least moderate SFN (Se70 and Sp70), defined by a value of feet ESC ≤ 70 μS and > 50 μS on the Sudoscan measure, or severe SFN (Se50 and Sp50), defined by a value of feet ESC ≤ 50 μS on the Sudoscan measure. The agreement between the two devices was assessed with the analysis of Bland-Altman plots, mean absolute error (MAE), and root mean squared error (RMSE) calculations. The repeatability of the measurements was also compared between the two devices.

RESULTS

A total of 147 patients (52% men, mean age 59 years old, 76% diabetic) were included in the analysis. The sensitivity and specificity to detect at least moderate or severe SFN were: Se70 = 0.91 ([0.83, 0.96]), Sp70 = 0.97 ([0.88, 0.99]), Se50 = 0.91 ([0.80, 0.98]), and Sp50 = 0.99 ([0.94, 1]), respectively. The bias and 95% limits of agreement were 1.5 [-5.4, 8.4]. The MAE was 2.9 and the RMSE 3.8. The intra-sample variability was 2.0 for the Body Scan and 2.3 for the Sudoscan.

CONCLUSION

The ESC measurements provided by the Body Scan were in almost perfect agreement with those provided by the reference device, the Sudoscan, which validates the accuracy of the Body Scan for the detection of SFN. By enabling simple, rapid, and autonomous use by the patient at home, this new technique will facilitate screening and monitoring of SFN in daily practice.

CLINICAL TRIAL REGISTRATION

ClinicalTrials.gov, identifier NCT05178459.

摘要

背景

泌汗功能障碍是小纤维神经病变(SFN)最早的表现之一,反映了汗腺交感C纤维神经支配的改变。在其他技术中,这种神经支配可通过测量微西门子(μS)的电化学皮肤电导(ESC)来评估。在本研究中,通过测量足部的ESC来检测远端SFN。为实现这一目标,将一款供家庭使用的新型设备Body Scan(Withings,法国)与一款需要在医院环境使用的参考设备Sudoscan(Impeto Medical,法国)的性能进行了比较。

方法

在患有或未患有神经病变的糖尿病患者以及患有下肢神经病变的非糖尿病患者中,通过计算Body Scan测量的灵敏度(Se)和特异性(Sp)来评估其诊断性能,以检测至少中度SFN(Se70和Sp70),定义为足部ESC值≤70μS且在Sudoscan测量中>50μS,或严重SFN(Se50和Sp50),定义为足部ESC值≤50μS在Sudoscan测量中。通过分析Bland-Altman图、平均绝对误差(MAE)和均方根误差(RMSE)计算来评估两种设备之间的一致性。还比较了两种设备测量的重复性。

结果

共有147名患者(52%为男性,平均年龄59岁,76%为糖尿病患者)纳入分析。检测至少中度或严重SFN的灵敏度和特异性分别为:Se70 = 0.91([0.83, 0.96]),Sp70 = 0.97([0.88, 0.99]),Se50 = 0.91([0.80, 0.98]),Sp50 = 0.99([0.94, 1])。偏差和95%一致性界限为1.5 [-5.4, 8.4]。MAE为2.9,RMSE为3.8。Body Scan的样本内变异性为2.0,Sudoscan为2.3。

结论

Body Scan提供的ESC测量结果与参考设备Sudoscan提供的结果几乎完全一致,这验证了Body Scan检测SFN的准确性。通过使患者能够在家中进行简单、快速和自主的使用,这项新技术将有助于在日常实践中对SFN进行筛查和监测。

临床试验注册

ClinicalTrials.gov,标识符NCT05178459。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22fa/10644320/7253b95940ab/fneur-14-1256984-g001.jpg

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