Heart Rate Variability Analysis in Patients Who Have Bradycardia Presenting to the Emergency Department with Chest Pain

Sakamoto, Jeffrey Tadashi; Liu, Nan; Koh, Zhi Xiong; Guo, Di; Heldeweg, Micah Liam Arthur; Ng, Janson Cheng Ji; Ong, Marcus Eng Hock

doi:10.1016/j.jemermed.2017.10.020

Cited by 5 publications

(2 citation statements)

References 21 publications

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“… 7 A study in a Singapore ED found that chest pain with bradycardia accounted for 29.6% of major adverse cardiac events at 30 days. 8 Still, there remains a paucity of information about the prevalence of bradycardia in the ED as well as the long-term outcomes after ED treatment. The purpose of this study was to determine the incidence of bradycardia, clinical data, and treatment in the ED setting by analyzing the adverse outcomes at 30 days and 180 days after ED disposition.…”

Section: Introductionmentioning

confidence: 99%

Bradycardia in Older Patients in a Single-Center Emergency Department: Incidence, Characteristics and Outcomes

Rujichanuntagul¹,

Sri‐on²,

Traiwanatham³

et al. 2022

OAEM

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Objective This study aimed to explore data associated with the characteristics, incidence, and outcomes of older patients with symptomatic bradycardia presenting to the emergency department (ED). Methods We prospectively reviewed data of all patients aged 60 years and older who visited our ED with symptomatic bradycardia during 8AM-12PM between June 4, 2018, and June 10, 2019. The outcomes were the incidence of symptomatic bradycardia and adverse events (recurrent bradycardia, rate of ED revisits, subsequent hospitalization, mortality rate, and composite outcomes) at 30 days and 180 days. Results A total of 3297 patients visited the ED. Of these, 205 patients had symptomatic bradycardia. The incidence of symptomatic bradycardia was 6.2% (205/3297). One hundred fourteen patients (55.7%) were female, and the mean age was 74.9 (SD, 9) years. One-third of bradycardia patients (80 patients [39.0%]) were admitted to the hospital, 32 of whom because of unstable bradycardia. Ten of these 32 (30%) patients died during hospitalization from causes unrelated to bradycardia. One-third of unstable bradycardia patients had dyspnea (10/32 patients [31.3%]) followed by chest pain and altered mental status, respectively. ED revisit was the most common adverse event after 30 days (10.8%) and 180 days (20.3%). End-stage renal disease with hemodialysis was associated with adverse outcomes at 30 days (odds ratio, 2.34; 95% confidence interval, 1.30–20.87). Conclusion The incidence of symptomatic bradycardia among older adults was 6.2% in one urban ED. End-stage renal disease with hemodialysis was associated with adverse outcomes at 30 days. Larger studies should confirm this association and investigate methods of minimizing adverse outcomes.

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Section: Introductionmentioning

confidence: 99%

Bradycardia in Older Patients in a Single-Center Emergency Department: Incidence, Characteristics and Outcomes

Rujichanuntagul¹,

Sri‐on²,

Traiwanatham³

et al. 2022

OAEM

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“…In subjects with bradycardia, longer RR intervals might lead to increased variability, potentially influencing the same time-domain measures [132].…”

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confidence: 99%

A Review of Methods and Applications for a Heart Rate Variability Analysis

Nayak,

Pradhan,

Mohanty

et al. 2023

Algorithms

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Heart rate variability (HRV) has emerged as an essential non-invasive tool for understanding cardiac autonomic function over the last few decades. This can be attributed to the direct connection between the heart’s rhythm and the activity of the sympathetic and parasympathetic nervous systems. The cost-effectiveness and ease with which one may obtain HRV data also make it an exciting and potential clinical tool for evaluating and identifying various health impairments. This article comprehensively describes a range of signal decomposition techniques and time-series modeling methods recently used in HRV analyses apart from the conventional HRV generation and feature extraction methods. Various weight-based feature selection approaches and dimensionality reduction techniques are summarized to assess the relevance of each HRV feature vector. The popular machine learning-based HRV feature classification techniques are also described. Some notable clinical applications of HRV analyses, like the detection of diabetes, sleep apnea, myocardial infarction, cardiac arrhythmia, hypertension, renal failure, psychiatric disorders, ANS Activity of Patients Undergoing Weaning from Mechanical Ventilation, and monitoring of fetal distress and neonatal critical care, are discussed. The latest research on the effect of external stimuli (like consuming alcohol) on autonomic nervous system (ANS) activity using HRV analyses is also summarized. The HRV analysis approaches summarized in our article can help future researchers to dive deep into their potential diagnostic applications.

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The value of circadian heart rate variability for the estimation of obstructive sleep apnea severity in adult males

Zhang,

Zhao,

Zhang

et al. 2024

Sleep Breath

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Heart Rate Variability Analysis in Patients Who Have Bradycardia Presenting to the Emergency Department with Chest Pain

Cited by 5 publications

References 21 publications

Bradycardia in Older Patients in a Single-Center Emergency Department: Incidence, Characteristics and Outcomes

Bradycardia in Older Patients in a Single-Center Emergency Department: Incidence, Characteristics and Outcomes

A Review of Methods and Applications for a Heart Rate Variability Analysis

The value of circadian heart rate variability for the estimation of obstructive sleep apnea severity in adult males

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