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血液透析期间生物信号整合系统:CONTINUAL(血液透析期间连续监测生命体征)注册研究

System of integrating biosignals during hemodialysis: the CONTINUAL (Continuous mOnitoriNg viTal sIgN dUring hemodiALysis) registry.

作者信息

Kim Seonmi, Yun Donghwan, Kwon Soonil, Lee So-Ryoung, Kim Kwangsoo, Kim Yong Chul, Kim Dong Ki, Oh Kook-Hwan, Joo Kwon Wook, Lee Hyung-Chul, Jung Chul-Woo, Kim Yon Su, Han Seung Seok

机构信息

Division of Nephrology, Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.

Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea.

出版信息

Kidney Res Clin Pract. 2022 May;41(3):363-371. doi: 10.23876/j.krcp.21.157. Epub 2022 May 23.

Abstract

BACKGROUND

Appropriate monitoring of intradialytic biosignals is essential to minimize adverse outcomes because intradialytic hypotension and arrhythmia are associated with cardiovascular risk in hemodialysis patients. However, a continuous monitoring system for intradialytic biosignals has not yet been developed.

METHODS

This study investigated a cloud system that hosted a prospective, open-source registry to monitor and collect intradialytic biosignals, which was named the CONTINUAL (Continuous mOnitoriNg viTal sIgN dUring hemodiALysis) registry. This registry was based on real-time multimodal data acquisition, such as blood pressure, heart rate, electrocardiogram, and photoplethysmogram results.

RESULTS

We analyzed session information from this system for the initial 8 months, including data for some cases with hemodynamic complications such as intradialytic hypotension and arrhythmia.

CONCLUSION

This biosignal registry provides valuable data that can be applied to conduct epidemiological surveys on hemodynamic complications during hemodialysis and develop artificial intelligence models that predict biosignal changes which can improve patient outcomes.

摘要

背景

适当监测透析期间的生物信号对于将不良后果降至最低至关重要,因为透析期间的低血压和心律失常与血液透析患者的心血管风险相关。然而,尚未开发出用于透析期间生物信号的连续监测系统。

方法

本研究调查了一个云系统,该系统托管了一个前瞻性、开源注册库,用于监测和收集透析期间的生物信号,该注册库被命名为CONTINUAL(血液透析期间连续监测生命体征)注册库。该注册库基于实时多模态数据采集,如血压、心率、心电图和光电容积脉搏波描记图结果。

结果

我们分析了该系统最初8个月的会话信息,包括一些有血液动力学并发症(如透析期间低血压和心律失常)病例的数据。

结论

这个生物信号注册库提供了有价值的数据,可用于对血液透析期间的血液动力学并发症进行流行病学调查,并开发预测生物信号变化的人工智能模型,从而改善患者预后。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d24/9184839/4c151d79ec95/j-krcp-21-157f1.jpg

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