• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

利用心率变化与代偿预测透析中低血压的视觉指标

Visual Indicator for Intradialytic Hypotension Prediction Using Variation and Compensation of Heart Rate.

作者信息

Bae Tae-Wuk, Park Ji-Hyun, Park Jong-Won, Kwon Kee-Koo, Kim Kwang-Yong

机构信息

Daegu-Gyeongbuk Research Center, Electronics and Telecommunications Research Institute, Daegu 42994, Republic of Korea.

Division of Nephrology, Department of Internal Medicine, College of Medicine, Yeungnam University, Daegu 42415, Republic of Korea.

出版信息

Diagnostics (Basel). 2024 Nov 26;14(23):2664. doi: 10.3390/diagnostics14232664.

DOI:10.3390/diagnostics14232664
PMID:39682571
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11640372/
Abstract

BACKGROUND

To date, most intradialytic hypotension (IDH) studies have proposed technologies to comprehensively predict the occurrence of IDH using the patient's baseline information and ultrafiltration (UF) information, but it is difficult to apply the technologies while identifying the patient's condition in real time.

METHODS

In this study, we propose an IDH indicator that uses heart rate (HR) change information to identify the patient's condition in real time and visually shows whether IDH has occurred. The data used were collected from 40 dialysis patients in a clinical trial conducted in the Artificial Kidney Unit at Yeungnam University Medical Center, Korea, from 18 July to 29 November 2023.

RESULTS

The IDH indicator infers changes in the patient's blood pressure during dialysis by analyzing the upper and lower maximum HRs based on the real-time average HR. Medical staff can respond to IDH in real time by looking at the IDH indicator, which visually expresses changes in the patient's HR. In addition, we propose a multilayer perceptron structure that inputs upper and lower maximum HR information based on the average HR for the time interval accumulated in real time. In learning using 40 min of data up to 5 min before IDH occurred, models using two and five layers showed excellent performance, with accuracy of 88.6% and 85.2%, respectively.

CONCLUSIONS

By combining IDH visual indicators and the multi-layer perceptron method, medical staff can effectively respond to IDH in real time.

摘要

背景

迄今为止，大多数透析中低血压（IDH）研究都提出了利用患者基线信息和超滤（UF）信息来全面预测IDH发生的技术，但在实时识别患者病情时难以应用这些技术。

方法

在本研究中，我们提出了一种IDH指标，该指标利用心率（HR）变化信息实时识别患者病情，并直观显示IDH是否发生。所使用的数据是从2023年7月18日至11月29日在韩国庆南大学医学中心人工肾科进行的一项临床试验中的40名透析患者收集的。

结果

IDH指标通过基于实时平均心率分析最高和最低心率来推断透析期间患者血压的变化。医护人员可以通过查看直观表达患者心率变化的IDH指标来实时应对IDH。此外，我们提出了一种多层感知器结构，该结构基于实时累积的时间间隔的平均心率输入最高和最低心率信息。在使用IDH发生前5分钟内长达40分钟的数据进行学习时，使用两层和五层的模型表现出色，准确率分别为88.6%和85.2%。

结论

通过结合IDH视觉指标和多层感知器方法，医护人员可以有效地实时应对IDH。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f33/11640372/fd4058b41025/diagnostics-14-02664-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f33/11640372/e0423f3fe1f9/diagnostics-14-02664-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f33/11640372/6a4b1888ae46/diagnostics-14-02664-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f33/11640372/e4d35e4caab5/diagnostics-14-02664-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f33/11640372/c832c1ab2da1/diagnostics-14-02664-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f33/11640372/76b764a5def9/diagnostics-14-02664-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f33/11640372/959869c9aa4a/diagnostics-14-02664-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f33/11640372/70ca48103584/diagnostics-14-02664-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f33/11640372/a712b37fe425/diagnostics-14-02664-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f33/11640372/fd4058b41025/diagnostics-14-02664-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f33/11640372/e0423f3fe1f9/diagnostics-14-02664-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f33/11640372/6a4b1888ae46/diagnostics-14-02664-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f33/11640372/e4d35e4caab5/diagnostics-14-02664-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f33/11640372/c832c1ab2da1/diagnostics-14-02664-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f33/11640372/76b764a5def9/diagnostics-14-02664-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f33/11640372/959869c9aa4a/diagnostics-14-02664-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f33/11640372/70ca48103584/diagnostics-14-02664-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f33/11640372/a712b37fe425/diagnostics-14-02664-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f33/11640372/fd4058b41025/diagnostics-14-02664-g009.jpg

相似文献

1
Visual Indicator for Intradialytic Hypotension Prediction Using Variation and Compensation of Heart Rate.利用心率变化与代偿预测透析中低血压的视觉指标
Diagnostics (Basel). 2024 Nov 26;14(23):2664. doi: 10.3390/diagnostics14232664.
2
Multilayer Perceptron-Based Real-Time Intradialytic Hypotension Prediction Using Patient Baseline Information and Heart-Rate Variation.基于多层感知器的利用患者基线信息和心率变异性的实时透析中低血压预测。
Int J Environ Res Public Health. 2022 Aug 20;19(16):10373. doi: 10.3390/ijerph191610373.
3
Prediction of intradialytic hypotension using pre-dialysis features-a deep learning-based artificial intelligence model.基于预透析特征的透析中低血压预测——一种基于深度学习的人工智能模型。
Nephrol Dial Transplant. 2023 Sep 29;38(10):2310-2320. doi: 10.1093/ndt/gfad064.
4
Real-time prediction of intradialytic hypotension using machine learning and cloud computing infrastructure.使用机器学习和云计算基础设施实时预测透析中低血压。
Nephrol Dial Transplant. 2023 Jun 30;38(7):1761-1769. doi: 10.1093/ndt/gfad070.
5
Personalized prediction of intradialytic hypotension in clinical practice: Development and evaluation of a novel AI dashboard incorporating risk factors from previous and current dialysis sessions.临床实践中透析中低血压的个体化预测：纳入既往和当前透析时段风险因素的新型人工智能监测仪的开发和评估。
Int J Med Inform. 2024 Oct;190:105538. doi: 10.1016/j.ijmedinf.2024.105538. Epub 2024 Jul 3.
6
The relationship between prescription of ultrafiltration and intradialytic hypotension in Chinese hemodialysis patients.中文血液透析患者超滤处方与透析中低血压的关系。
Ann Palliat Med. 2021 May;10(5):5316-5321. doi: 10.21037/apm-21-791. Epub 2021 May 12.
7
Individually adjusted absolute blood volume feedback control: A promising solution for intradialytic hypotension.个体化调整的绝对血容量反馈控制：透析中低血压的一种有前景的解决方案。
Hemodial Int. 2023 Apr;27(2):184-192. doi: 10.1111/hdi.13074. Epub 2023 Feb 14.
8
Ultrafiltration rates and intradialytic hypotension: A case-control sampling of pooled haemodialysis data.超滤率与透析中低血压：血液透析数据的病例对照抽样研究。
J Ren Care. 2021 Mar;47(1):34-42. doi: 10.1111/jorc.12340. Epub 2020 Jul 30.
9
Ultrafiltration biofeedback guided by blood volume monitoring to reduce intradialytic hypotensive episodes in hemodialysis: study protocol for a randomized controlled trial.基于血容量监测的超滤生物反馈指导以减少血液透析中透析期间低血压发作：一项随机对照试验的研究方案
Trials. 2014 Dec 10;15:483. doi: 10.1186/1745-6215-15-483.
10
Construction of an Early Alert System for Intradialytic Hypotension before Initiating Hemodialysis Based on Machine Learning.基于机器学习在血液透析开始前构建透析中低血压早期预警系统
Kidney Dis (Basel). 2023 Jun 23;9(5):433-442. doi: 10.1159/000531619. eCollection 2023 Oct.

本文引用的文献

1
Neurohumoral Activation in Heart Failure.心力衰竭中的神经体液激活。
Int J Mol Sci. 2023 Oct 23;24(20):15472. doi: 10.3390/ijms242015472.
2
Wearable Continuous Blood Pressure Monitoring Devices Based on Pulse Wave Transit Time and Pulse Arrival Time: A Review.基于脉搏波传播时间和脉搏波到达时间的可穿戴式连续血压监测设备：综述
Materials (Basel). 2023 Mar 7;16(6):2133. doi: 10.3390/ma16062133.
3
Development of Real-Time Cuffless Blood Pressure Measurement Systems with ECG Electrodes and a Microphone Using Pulse Transit Time (PTT).
基于脉搏波传导时间（PTT）的 ECG 电极和麦克风无袖带血压测量系统的开发。
Sensors (Basel). 2023 Feb 3;23(3):1684. doi: 10.3390/s23031684.
4
Pre-Dialysis B-Line Quantification at Lung Ultrasound Is a Useful Method for Evaluating the Dry Weight and Predicting the Risk of Intradialytic Hypotension.肺超声下透析前B线定量是评估干体重和预测透析中低血压风险的有用方法。
Diagnostics (Basel). 2022 Nov 29;12(12):2990. doi: 10.3390/diagnostics12122990.
5
Multilayer Perceptron-Based Real-Time Intradialytic Hypotension Prediction Using Patient Baseline Information and Heart-Rate Variation.基于多层感知器的利用患者基线信息和心率变异性的实时透析中低血压预测。
Int J Environ Res Public Health. 2022 Aug 20;19(16):10373. doi: 10.3390/ijerph191610373.
6
An update review of intradialytic hypotension: concept, risk factors, clinical implications and management.透析中低血压的最新综述：概念、危险因素、临床意义及管理
Clin Kidney J. 2020 Jul 8;13(6):981-993. doi: 10.1093/ckj/sfaa078. eCollection 2020 Dec.
7
Dialysis initiation, modality choice, access, and prescription: conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference.透析起始、方式选择、通路和处方：肾脏病：改善全球预后组织（KDIGO）争议会议的结论。
Kidney Int. 2019 Jul;96(1):37-47. doi: 10.1016/j.kint.2019.01.017. Epub 2019 Apr 13.
8
Predicting intradialytic hypotension using heart rate variability.使用心率变异性预测透析中低血压。
Sci Rep. 2019 Feb 22;9(1):2574. doi: 10.1038/s41598-019-39295-y.
9
Intelligent system to predict intradialytic hypotension in chronic hemodialysis.智能系统预测慢性血液透析患者透析中低血压。
J Formos Med Assoc. 2018 Oct;117(10):888-893. doi: 10.1016/j.jfma.2018.05.023. Epub 2018 Jun 22.
10
Mechanisms, Clinical Implications, and Treatment of Intradialytic Hypotension.透析中低血压的机制、临床意义及治疗。
Clin J Am Soc Nephrol. 2018 Aug 7;13(8):1297-1303. doi: 10.2215/CJN.12141017. Epub 2018 Feb 26.