Observational studyScientific reports2019
Predicting intradialytic hypotension using heart rate variability.
Observational study in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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The trial behind it
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Who cites it
22 citing papers in PubMed, 40 citations in OpenAlex.
- A Narrative Summary of Strategies to Mitigate Intradialytic Hypotension in Poisoned Patients Requiring Extracorporeal Toxin Elimination.Journal of medical toxicology : official journal of the American College of Medical Toxicology · 2026Review
- MI-Net: a dual-stream feature network based on Mamba-convolutional neural network (CNN) fusion to predict intradialytic hypotension using multimodal data.Quantitative imaging in medicine and surgery · 2026Article
- The value of pleth variability index in predicting hypotension during maintenance hemodialysis: a prospective observational multicenter study (PVi-HD study).BMC nephrology · 2026Observational
- Ultrafiltration in the critically ill patient: a framework for personalized care.Critical care (London, England) · 2026Review
- Prediction of intradialytic hypotension based on heart rate variability and skin sympathetic nerve activity using LASSO-enabled feature selection: a two-center study.Renal failure · 2025Article
- Relationship Between Cardiac Autonomic Control and Intradialytic Hypotension in Senegalese Chronic Hemodialysis Patients: A Single Center Prospective Study.Electrolyte & blood pressure : E & BP · 2025Article
- Predicting blood pressure variability in hemodialysis using an explainable boosting machine model.Clinical kidney journal · 2025Article
- Patterns in Heart Rate Variability during Hemodialysis.Kidney360 · 2025Article
- Visual Indicator for Intradialytic Hypotension Prediction Using Variation and Compensation of Heart Rate.Diagnostics (Basel, Switzerland) · 2024Article
- The Clinical Significance and Application of Heart Rate Variability in Dialysis Patients: A Narrative Review.Biomedicines · 2024Review
- Usefulness of the heart rate variability test in predicting intradialytic hypotension in patients undergoing chronic haemodialysis.Clinical kidney journal · 2024Article
- Effect of Electronic Moxibustion in Patients with IDH: A Randomized Crossover Pilot Study.International journal of general medicine · 2024Article
- Construction of an Early Alert System for Intradialytic Hypotension before Initiating Hemodialysis Based on Machine Learning.Kidney diseases (Basel, Switzerland) · 2023Article
- Explainable Machine Learning to Predict Successful Weaning of Mechanical Ventilation in Critically Ill Patients Requiring Hemodialysis.Healthcare (Basel, Switzerland) · 2023Article
- Evaluation of autonomic nervous system activity in intradialytic hypotension using entropy and skin sympathetic nerve activity.Frontiers in neuroscience · 2023Article
- Multilayer Perceptron-Based Real-Time Intradialytic Hypotension Prediction Using Patient Baseline Information and Heart-Rate Variation.International journal of environmental research and public health · 2022Article
- Heart Rate Variability in Postoperative Patients with Nonfunctioning Pituitary Adenoma.Endocrinology and metabolism (Seoul, Korea) · 2021Article
- An update review of intradialytic hypotension: concept, risk factors, clinical implications and management.Clinical kidney journal · 2020Review
- Intradialytic hypotension prevalence, influencing factors, and nursing interventions: prospective results of 744 hemodialysis sessions.Irish journal of medical science · 2020Article
- Comparative Analysis on Machine Learning and Deep Learning to Predict Post-Induction Hypotension.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed to identify whether a new method using heart rate variability (HRV) could predict intradialytic hypotension (IDH) for one month in advance for patients undergoing prevalent hemodialysis. A total 71 patients were enrolled, and baseline clinical characteristics and laboratory results were collected when HRV was measured, then, the frequency of IDH was collected during the observation period. HRV parameters included heart rate, R-R interval, the standard deviation of N-N interval, the square root of the mean squared differences of successive NN intervals, very low frequency, low frequency, high frequency, total power, and low frequency/high frequency ratio. During the one-month observation period, 28 patients experienced 85 cases of IDH (10.0% of a total 852 dialysis sessions). Among the clinical and laboratory parameters, ultrafiltration rate, prior history of diabetes, coronary artery disease, or congestive heart failure, age, intact parathyroid hormone level, and history of antihypertensive drug use were integrated into the multivariate model, referred to as a basic model, which showed significant ability to predict IDH (the area-under-curve [AUC], 0.726; p = 0.002). In HRV parameters, changes between the early and middle phases of hemodialysis (referred to Δ) were identified as significant independent variables. New models were built from the combination of Δ values with the basic model. Among them, a model with the highest AUC value (AUC, 804; p < 0.001) was compared to the basic model and demonstrated improved performance when HRV parameters were used (p = 0.049). Based on our results, it is possible that future IDH might be predicted more accurately using HRV.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.