keyword
https://read.qxmd.com/read/38483418/clinical-predictors-of-device-detected-atrial-fibrillation-during-2-5-years-after%C3%A2-cardiac-surgery-prospective-race-v-cohort
#21
JOURNAL ARTICLE
Martijn D Gilbers, Michal J Kawczynski, Elham Bidar, Bart Maesen, Aaron Isaacs, Joris Winters, Dominik Linz, Michiel Rienstra, Isabelle van Gelder, Jos G Maessen, Ulrich Schotten
BACKGROUND: Postoperative atrial fibrillation (POAF) is a frequent complication after cardiac surgery that is associated with late atrial fibrillation (AF) recurrences (late-POAF) and increased morbidity and long-term mortality. OBJECTIVES: This study sought to determine device-detected POAF incidence and to identify clinical variables associated with POAF, both in patients with and without preoperative AF history. METHODS: A total of 133 consecutive patients undergoing cardiac surgery were prospectively enrolled and continuously monitored with an implantable loop recorder for 2...
February 28, 2024: JACC. Clinical Electrophysiology
https://read.qxmd.com/read/38481823/pharmacokinetics-safety-and-tolerability-of-tenapanor-in-healthy-chinese-and-caucasian-volunteers-a-randomized-open-label-single-center-placebo-controlled-phase-1-study
#22
JOURNAL ARTICLE
Gang Yuan, Yili Chen, Li Li, Xin Wang, Gang Wei, Jiawei Zeng, Ai-Min Hui, Yueyun Jiang, Han Zhao, Lei Diao, Yongchun Zhou, Yinglian Xiao, Minhu Chen
BACKGROUND: Tenapanor is a locally acting selective sodium-hydrogen exchanger 3 inhibitor with the potential to treat sodium/phosphorus and fluid overload in various cardiac-renal diseases, which has been approved for constipation-predominant irritable bowel syndrome in the US. The pharmacokinetics (PK) of tenapanor and its metabolite tenapanor-M1 (AZ13792925), as well as the safety and tolerability of tenapanor, were investigated in healthy Chinese and Caucasian subjects. METHODS: This randomized, open-label, single-center, placebo-controlled phase 1 study (https://www...
2024: International Journal of Clinical Practice
https://read.qxmd.com/read/38479052/feasibility-and-validity-of-using-deep-learning-to-reconstruct-12-lead-ecg-from-three%C3%A2-lead-signals
#23
JOURNAL ARTICLE
Liang-Hung Wang, Yu-Yi Zou, Chao-Xin Xie, Tao Yang, Patricia Angela R Abu
BACKGROUND: In the field of mobile health, portable dynamic electrocardiogram (ECG) monitoring devices often have a limited number of lead electrodes due to considerations, such as portability and battery life. This situation leads to a contradiction between the demand for standard 12‑lead ECG information and the limited number of leads collected by portable devices. METHODS: This study introduces a composite ECG vector reconstruction network architecture based on convolutional neural network (CNN) combined with recurrent neural network by using leads I, II, and V2...
March 8, 2024: Journal of Electrocardiology
https://read.qxmd.com/read/38472697/evaluation-of-tpeak-end-interval-tpeak-end-qt-and-tpeak-end-qtc-ratio-during-acute-migraine-attack-in-the-emergency-department
#24
JOURNAL ARTICLE
Fatih Selvi, Mustafa Korkut, Cihan Bedel, Görkem Kuş, Ökkeş Zortuk
INTRODUCTION: During an acute migraine attack, changes in ventricular repolarisation parameters may occur due to an imbalance in the autonomic nervous system. Tpeak-tend (Tp-e) interval, Tp-e/QT ratio, and Tp-e/corrected QT (QTc) ratio are novel parameters of arrhythmogenesis and can be easily calculated in electrocardiography (ECG). The objective of this study is to demonstrate that novel ventricular repolarisation parameters can anticipate the risk of ventricular dysrhythmia in the migraine attack period...
March 12, 2024: Acta Neurologica Belgica
https://read.qxmd.com/read/38466973/optimization-of-using-multiple-machine-learning-approaches-in-atrial-fibrillation-detection-based-on-a-large-scale-data-set-of-12-lead-electrocardiograms-cross-sectional-study
#25
JOURNAL ARTICLE
Beau Bo-Sheng Chuang, Albert C Yang
BACKGROUND: Atrial fibrillation (AF) represents a hazardous cardiac arrhythmia that significantly elevates the risk of stroke and heart failure. Despite its severity, its diagnosis largely relies on the proficiency of health care professionals. At present, the real-time identification of paroxysmal AF is hindered by the lack of automated techniques. Consequently, a highly effective machine learning algorithm specifically designed for AF detection could offer substantial clinical benefits...
March 11, 2024: JMIR Formative Research
https://read.qxmd.com/read/38463783/analyzing-ecg-signals-in-professional-football-players-using-machine-learning-techniques
#26
JOURNAL ARTICLE
A A Munoz-Macho, M J Dominguez-Morales, J L Sevillano-Ramos
BACKGROUND: Football player's health is important, and preventing sudden cardiac arrest may be a critical issue. Professional football players have different ECG signals than the average population, yet there are considerable gaps in study whereas the general population has been extensively studied. OBJECTIVES: (a) Generate a reference and innovative resting 12-lead ECG database from 54 UEFA PRO level male football players from La Liga. This is a novel approach to cope the ECG and possible arrythmias in athletes...
March 15, 2024: Heliyon
https://read.qxmd.com/read/38454102/ultra-high-frequency-ecg-volumetric-and-negative-derivative-epicardial-ventricular-electrical-activation-pattern
#27
JOURNAL ARTICLE
Pavel Leinveber, Josef Halamek, Karol Curila, Frits Prinzen, Jolana Lipoldova, Magdalena Matejkova, Radovan Smisek, Filip Plesinger, Andrej Nagy, Miroslav Novak, Ivo Viscor, Vlastimil Vondra, Pavel Jurak
From precordial ECG leads, the conventional determination of the negative derivative of the QRS complex (ND-ECG) assesses epicardial activation. Recently we showed that ultra-high-frequency electrocardiography (UHF-ECG) determines the activation of a larger volume of the ventricular wall. We aimed to combine these two methods to investigate the potential of volumetric and epicardial ventricular activation assessment and thereby determine the transmural activation sequence. We retrospectively analyzed 390 ECG records divided into three groups-healthy subjects with normal ECG, left bundle branch block (LBBB), and right bundle branch block (RBBB) patients...
March 7, 2024: Scientific Reports
https://read.qxmd.com/read/38451350/the-association-between-coronary-artery-calcification-and-vectorcardiography-in-mechanically-ventilated-covid-19-patients-the-maastricht-intensive-care-covid-cohort
#28
JOURNAL ARTICLE
Eda Aydeniz, Frank van Rosmalen, Jip de Kok, Bibi Martens, Alma M A Mingels, Mustafa Emin Canakci, Casper Mihl, Kevin Vernooy, Frits W Prinzen, Joachim E Wildberger, Iwan C C van der Horst, Bas C T van Bussel, Rob G H Driessen
BACKGROUND: Coronary artery calcification (CAC) is associated with poor outcome in critically ill patients. A deterioration in cardiac conduction and loss of myocardial tissue could be an underlying cause. Vectorcardiography (VCG) and cardiac biomarkers provide insight into these underlying causes. The aim of this study was to investigate whether a high degree of CAC is associated with VCG-derived variables and biomarkers, including high-sensitivity troponin-T (hs-cTnT) and N-terminal pro-B-type natriuretic peptide (NT-proBNP)...
March 7, 2024: Intensive Care Medicine Experimental
https://read.qxmd.com/read/38450794/comparison-of-continuous-24-hour-and-14-day-ecg-monitoring-for-the-detection-of-cardiac-arrhythmias-in-patients-with-ischemic-stroke-or-syncope
#29
JOURNAL ARTICLE
Wei-Cheng Chen, Yu-Lin Wu, Yu-Cheng Hsu, Jen-Te Hsu, Hung-Pin Tseng, Chao-Chin Chen, Meng-Hsiu Chiang, Ju-Feng Hsiao, See-Khong Chin, Ying-Li Huang, Meng-Huan Lei
BACKGROUND: Previous studies show that using 12-lead electrocardiogram (ECG) or 24-h ECG monitor for the detection of cardiac arrhythmia events in patients with stroke or syncope is ineffective. HYPOTHESIS: The 14-day continuous ECG patch has higher detection rates of arrhythmias compared with conventional 24-h ECG monitoring in patients with ischemic stroke or syncope. METHODS: This cross-sectional study of patients with newly diagnosed ischemic stroke or syncope received a 24-h ECG monitoring and 14-day continuous cardiac monitoring patch and the arrhythmia events were measured...
February 2024: Clinical Cardiology
https://read.qxmd.com/read/38450594/early-diastolic-heart-sounds-caused-by-the-atrial-kick
#30
REVIEW
Kinan Bachour, Eric Mendez, Samuel Jackson, Gentian Lluri, Henry M Honda
An 81-year-old male with a history of coronary artery disease, hypertension, paroxysmal atrial fibrillation and chronic kidney disease presents with asymptomatic bradycardia. Examination was notable for an early diastolic heart sound. 12-lead electrocardiogram revealed sinus bradycardia with a markedly prolonged PR interval and second-degree atrioventricular block, type I Mobitz. We review the differential diagnosis of early diastolic heart sounds and present a case of Wenckebach associated with a variable early diastolic sound on physical exam...
March 2024: Annals of Noninvasive Electrocardiology
https://read.qxmd.com/read/38449953/the-significance-of-equipment-availability-and-anesthesia-educational-conferences-to-decision-making-for-ekg-lead-v5-abnormalities
#31
JOURNAL ARTICLE
Kimberly L Skidmore, Joseph Drinkard, Henson M Randall, Giustino Varrassi, Sahar Shekoohi, Alan D Kaye
Introduction To predict postoperative myocardial infarction rates in patients who undergo noncardiac surgery, the Canadian Cardiovascular Society Guidelines on Perioperative Cardiac Risk Assessment and Management recommends assessment of brain natriuretic peptide (BNP) in certain patients. Serial troponins are measured if the BNP level is elevated. In certain cases, Revised Cardiac Risk Index (RCRI) alone does not perform well, for example, during vascular surgery. Cardiac events occur in 20% of all vascular surgery patients...
February 2024: Curēus
https://read.qxmd.com/read/38449680/attention-assisted-hybrid-cnn-bilstm-bigru-model-with-smote-tomek-method-to-detect-cardiac-arrhythmia-based-on-12-lead-electrocardiogram-signals
#32
JOURNAL ARTICLE
Sara Chopannejad, Arash Roshanpoor, Farahnaz Sadoughi
OBJECTIVES: Cardiac arrhythmia is one of the most severe cardiovascular diseases that can be fatal. Therefore, its early detection is critical. However, detecting types of arrhythmia by physicians based on visual identification is time-consuming and subjective. Deep learning can develop effective approaches to classify arrhythmias accurately and quickly. This study proposed a deep learning approach developed based on a Chapman-Shaoxing electrocardiogram (ECG) dataset signal to detect seven types of arrhythmias...
2024: Digital Health
https://read.qxmd.com/read/38448993/use-of-the-energy-waveform-electrocardiogram-to-detect-subclinical-left-ventricular-dysfunction-in-patients-with-type-2-diabetes-mellitus
#33
JOURNAL ARTICLE
Cheng Hwee Soh, Alex G C de Sá, Elizabeth Potter, Amera Halabi, David B Ascher, Thomas H Marwick
BACKGROUND: Recent guidelines propose N-terminal pro-B-type natriuretic peptide (NT-proBNP) for recognition of asymptomatic left ventricular (LV) dysfunction (Stage B Heart Failure, SBHF) in type 2 diabetes mellitus (T2DM). Wavelet Transform based signal-processing transforms electrocardiogram (ECG) waveforms into an energy distribution waveform (ew)ECG, providing frequency and energy features that machine learning can use as additional inputs to improve the identification of SBHF. Accordingly, we sought whether machine learning model based on ewECG features was superior to NT-proBNP, as well as a conventional screening tool-the Atherosclerosis Risk in Communities (ARIC) HF risk score, in SBHF screening among patients with T2DM...
March 6, 2024: Cardiovascular Diabetology
https://read.qxmd.com/read/38447673/development-and-validation-of-an-electrocardiographic-artificial-intelligence-model-for-detection-of-peripartum-cardiomyopathy
#34
JOURNAL ARTICLE
Ibrahim Karabayir, Gianna Wilkie, Turgay Celik, Liam Butler, Lokesh Chinthala, Alexander Ivanov, Tiffany A Moore Simas, Robert L Davis, Oguz Akbilgic
BACKGROUND: This study used electrocardiogram (ECG) data in conjunction with artificial intelligence (AI) methods as a non-invasive tool for detecting peripartum cardiomyopathy (PPCM). OBJECTIVE: The primary objective was to assess the efficacy of a heart failure detection model for detecting peripartum cardiomyopathy detection using an AI deep learning model called a 1-dimensional convolutional neural network. STUDY DESIGN: We first built a deep learning model for heart failure detection using retrospective data at University of Tennessee Health Science Center (UTHSC)...
March 4, 2024: American journal of obstetrics & gynecology MFM
https://read.qxmd.com/read/38447244/digital-twinning-of-the-human-ventricular-activation-sequence-to-clinical-12-lead-ecgs-and-magnetic-resonance-imaging-using-realistic-purkinje-networks-for-in-silico-clinical-trials
#35
JOURNAL ARTICLE
Julia Camps, Lucas Arantes Berg, Zhinuo Jenny Wang, Rafael Sebastian, Leto Luana Riebel, Ruben Doste, Xin Zhou, Rafael Sachetto, James Coleman, Brodie Lawson, Vicente Grau, Kevin Burrage, Alfonso Bueno-Orovio, Rodrigo Weber Dos Santos, Blanca Rodriguez
Cardiac in silico clinical trials can virtually assess the safety and efficacy of therapies using human-based modelling and simulation. These technologies can provide mechanistic explanations for clinically observed pathological behaviour. Designing virtual cohorts for in silico trials requires exploiting clinical data to capture the physiological variability in the human population. The clinical characterisation of ventricular activation and the Purkinje network is challenging, especially non-invasively. Our study aims to present a novel digital twinning pipeline that can efficiently generate and integrate Purkinje networks into human multiscale biventricular models based on subject-specific clinical 12-lead electrocardiogram and magnetic resonance recordings...
February 28, 2024: Medical Image Analysis
https://read.qxmd.com/read/38446445/deep-learning-augmented-ecg-analysis-for-screening-and-genotype-prediction-of-congenital-long-qt-syndrome
#36
JOURNAL ARTICLE
River Jiang, Christopher C Cheung, Marta Garcia-Montero, Brianna Davies, Jason Cao, Damian Redfearn, Zachary M Laksman, Steffany Grondin, Joseph Atallah, Carolina A Escudero, Julia Cadrin-Tourigny, Shubhayan Sanatani, Christian Steinberg, Jacqueline Joza, Robert Avram, Rafik Tadros, Andrew D Krahn
IMPORTANCE: Congenital long QT syndrome (LQTS) is associated with syncope, ventricular arrhythmias, and sudden death. Half of patients with LQTS have a normal or borderline-normal QT interval despite LQTS often being detected by QT prolongation on resting electrocardiography (ECG). OBJECTIVE: To develop a deep learning-based neural network for identification of LQTS and differentiation of genotypes (LQTS1 and LQTS2) using 12-lead ECG. DESIGN, SETTING, AND PARTICIPANTS: This diagnostic accuracy study used ECGs from patients with suspected inherited arrhythmia enrolled in the Hearts in Rhythm Organization Registry (HiRO) from August 2012 to December 2021...
March 6, 2024: JAMA Cardiology
https://read.qxmd.com/read/38446228/autonomic-cardiac-function-in-children-and-adolescents-with-long-covid-a-case-controlled-study
#37
JOURNAL ARTICLE
A B Delogu, C Aliberti, L Birritella, G De Rosa, C De Rose, R Morello, N Cambise, A G Marino, A Belmusto, L Tinti, A Di Renzo, G A Lanza, D Buonsenso
Although the mechanisms underlying the pathophysiology of long COVID condition are still debated, there is growing evidence that autonomic dysfunction may play a role in the long-term complications or persisting symptoms observed in a significant proportion of patients after SARS-CoV-2 infection. However, studies focused on autonomic dysfunction have primarily been conducted in adults, while autonomic function has not yet been investigated in pediatric subjects. In this study, for the first time, we assessed whether pediatric patients with long COVID present abnormalities in autonomic cardiac function...
March 6, 2024: European Journal of Pediatrics
https://read.qxmd.com/read/38444951/sleepmi-an-ai-based-screening-algorithm-for-myocardial-infarction-using-nocturnal-electrocardiography
#38
JOURNAL ARTICLE
Youngtae Kim, Hoon Jo, Tae Gwan Jang, So Yeon Park, Ha Young Park, Sung Pil Cho, Junghwan Park, Sang-Ha Kim, Erdenebayar Urtnasan
Myocardial infarction (MI) is a common cardiovascular disease, the early diagnosis of which is essential for effective treatment and reduced mortality. Therefore, novel methods are required for automatic screening or early diagnosis of MI, and many studies have proposed diverse conventional methods for its detection. In this study, we aimed to develop a sleep-myocardial infarction (sleepMI) algorithm for automatic screening of MI based on nocturnal electrocardiography (ECG) findings from diagnostic polysomnography (PSG) data using artificial intelligence (AI) models...
February 29, 2024: Heliyon
https://read.qxmd.com/read/38439119/impact-of-artificial-intelligence-arrhythmia-mapping-on-time-to-first-ablation-procedure-duration-and-fluoroscopy-use
#39
JOURNAL ARTICLE
Sutton R Fox, Avinash Toomu, Kelly Gu, Jessica Kang, Kevin Sung, Frederick T Han, Kurt S Hoffmayer, Jonathan C Hsu, Farshad Raissi, Gregory K Feld, Andrew D McCulloch, Gordon Ho, David E Krummen
INTRODUCTION: Artificial intelligence (AI) ECG arrhythmia mapping provides arrhythmia source localization using 12-lead ECG data; whether this information impacts procedural efficiency is unknown. We performed a retrospective, case-control study to evaluate the hypothesis that AI ECG mapping may reduce time to ablation, procedural duration, and fluoroscopy. MATERIALS AND METHODS: Cases in which system output was used were retrospectively enrolled according to IRB-approved protocols at each site...
March 4, 2024: Journal of Cardiovascular Electrophysiology
https://read.qxmd.com/read/38438728/new-onset-hypertension-as-a-contributing-factor-to-the-incidence-of-atrial-fibrillation-in-the-elderly
#40
JOURNAL ARTICLE
Wei Zhang, Yi Chen, Lei-Xiao Hu, Jia-Hui Xia, Xiao-Fei Ye, Yi-Bang Cheng, Ying Wang, Qian-Hui Guo, Yan Li, Nicole Lowres, Ben Freedman, Ji-Guang Wang
Hypertension and atrial fibrillation are closely related. However, hypertension is already prevalent in young adults, but atrial fibrillation usually occurs in the elderly. In the present analysis, we investigated incident atrial fibrillation in relation to new-onset hypertension in an elderly Chinese population. Our study participants were elderly (≥65 years) hypertensive residents, recruited from community health centers in the urban Shanghai (n = 4161). Previous and new-onset hypertension were defined as the use of antihypertensive medication or elevated systolic/diastolic blood pressure (≥140/90 mmHg), respectively, at entry and during follow-up on ≥ 2 consecutive clinic visits...
March 4, 2024: Hypertension Research: Official Journal of the Japanese Society of Hypertension
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