Domperidone Prescribing Practices Exposed Patients to Cardiac Risk despite a “Black Box” Warning: A Canadian Tertiary Care Center Study by Nauzer Forbes, Mohan Cooray, Raed Al-Dabbagh, Yuhong Yuan, Frances Tse, Louis W. C. Liu, Ted Xenodemetropoulos

“…Outcomes included appropriateness of indication, dosing regimens, monitoring of electrolytes, baseline electrocardiogram performance and characteristics, presence of left ventricular dysfunction, and coprescription of QT-prolonging medications. …”
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Serum vascular endothelial growth factor levels as a marker of skin thickening, digital ischemia, and interstitial lung disease in systemic sclerosis by Chinnadurai Saranya, Ramamoorthy Ramesh, Mahendran Bhuvanesh, Chilukuri Balaji, Selvakumar Balameena, Sankaralingam Rajeswari

“…All patients underwent detailed clinical examination, baseline blood investigations, chest X-ray, electrocardiogram, and pulmonary function tests. Echocardiography and high-resolution computed tomography scan of lungs were done wherever necessary. …”
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Automated external defibrillator: Rhythm analysis and defibrillation on paediatric out-of-hospital cardiac arrest by Emma Menant, Delphine Lavignasse, Sarah Ménétré, Jean-Philippe Didon, Xavier Jouven

“…Results: A total of 1,990 electrocardiogram strips extracted from 349 pOHCA cases were included in the study. …”
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Vagal nerve stimulation dynamically alters anxiety-like behavior in rats by A.G. Butler, J.K. Bassi, A.A. Connelly, M.R. Melo, A.M. Allen, S.J. McDougall

“…Methods: Electrodes were implanted to stimulate the left vagus nerve and to record diaphragm muscle and electrocardiogram activity. The VNS current required to elicit the A-fiber-mediated Hering-Breuer Reflex (HBR) was determined for each animal. …”
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Detecting anomalies in smart wearables for hypertension: a deep learning mechanism by C. Kishor Kumar Reddy, Vijaya Sindhoori Kaza, R. Madana Mohana, Mohammed Alhameed, Fathe Jeribi, Shadab Alam, Mohammed Shuaib

“…This research aims to address the limitations of current healthcare systems, particularly in remote areas, by leveraging deep learning techniques in Smart Health Monitoring (SHM).MethodsThis paper introduces a novel neural network architecture, ResNet-LSTM, to predict BP from physiological signals such as electrocardiogram (ECG) and photoplethysmogram (PPG). The combination of ResNet’s feature extraction capabilities and LSTM’s sequential data processing offers improved prediction accuracy. …”
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Evaluation of Cardioprotective Effect of 3,5,3′-Tri-iodo-L-thyronine in Isoproterenol-Induced Cardiotoxicity by Vinay Mishra, Priya Ghumatkar, Maulik V. Patel, Shilpesh Devada, Ramchandra Ranvir, Prabodha Swain, Rajesh Sundar, Rajesh Bahekar, Mukul R. Jain

“…As expected, ISO-induced significant changes were observed in low-density lipoprotein, total cholesterol, ALT, CK-MB to TCK ratio, and prolongation of QT interval in electrocardiogram, which is toward normalization after T3 treatment. …”
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Taquicardia ortostática postural em adolescentes: como e por que diagnosticar by Camila Magalhães Silva, Ludimila Dos Anjos Teixeira Romão, Lalleinny Franthiesca da Costa Alves, Roberta Leão Bassi, Rose Mary Ferreira Lisboa da Silva, Fátima Derlene da Rocha Araújo, Zilda Maria Alves Meira

“…Following a comprehensive physical examination (including heart rate and blood pressure assessment) and additional tests (electrocardiogram, transthoracic echocardiogram, and Tilt Test), she was diagnosed with POTS. …”
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Advanced point-of-care biomarker testing for the diagnosis of cardiovascular diseases by Wenjun Ming, Yidan Zhu, Wenjun Jiang, Jing Zhang, Jinxia Liu, Li Wu, Yuling Qin

“…Conventional CVD diagnostic techniques necessitate the use of bulky hospital instruments for electrocardiogram recording and immunoassay, resulting in time-consuming and inconvenient limitations. …”
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Cardiac Tamponade Caused by Cutibacterium acnes: An Updated and Comprehensive Review of the Literature by Ghina Fakhri, Christelle Tayeh, Ghassan Dbaibo, Omar El Sedawy, Nour Abdul Halim, Fadi Bitar, Mariam Arabi

“…In our institution, a 20-year-old man with history of atrial septal defect presented with chest pain radiating to the back along with symptoms of upper respiratory tract infection including headaches and myalgia. Electrocardiogram was remarkable for diffuse low-voltage waves. …”
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Coronary angiographic assessment of streptokinase efficacy in young patients with ST-elevation myocardial infarction by Chetan Solanki, Kuwer Devi Singh, Sunil Kumar Tripathi, Manoj Indurkar, Rakesh Kumar Tikadar

“…The efficacy of SK was assessed through coronary angiography performed 12–24 h post-thrombolysis and ST-segment resolution on electrocardiogram. Clinical outcomes, including adverse events and mortality, were recorded. …”
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Multipath joint ablation strategy for focal atrial tachycardia originating from patent foramen ovale: a case report by Fuqiang Liu, Yifei Li, Song Yan, Lijun Liu, Kaiyu Zhou, Yimin Hua

“…Here, we present a rare case of peri-PFO-associated FAT that resulted in tachycardia-related cardiomyopathy and propose a comprehensive multipath joint strategy for the successful treatment of PFO-associated FAT.Case presentationA 10-year-old boy presented with refractory cardiomyopathy associated with incessant atrial tachycardia, unresponsive to metoprolol. A 12-lead electrocardiogram revealed a narrow QRS complex tachycardia with a rate of 157 beats per minute and a prolonged RP relationship. …”
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A machine learning-based model for predicting paroxysmal and persistent atrial fibrillation based on EHR by Yuqi Zhang, Sijin Li, Peibiao Mai, Yanqi Yang, Niansang Luo, Chao Tong, Kuan Zeng, Kun Zhang

“…Abstract Background There is no effective way to accurately predict paroxysmal and persistent atrial fibrillation (AF) subtypes unless electrocardiogram (ECG) observation is obtained. We aim to develop a predictive model using a machine learning algorithm for identification of paroxysmal and persistent AF, and investigate the influencing factors. …”
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An Electronic Slime-Based Epidermal Electrode Using Carbon Nanocomposites for Biosignal Sensing by Yu Feng, Hui Sun, Meng Chen, Cong Wu, Jiankun Li, Zhi Li, Kremena Makasheva, Na Liu, Guanglie Zhang, Wen Jung Li

“…Our results demonstrate the electrode's capability in biosignal sensing, including electrocardiogram (ECG) monitoring with a high signal-to-noise ratio (SNR) of 46dB and electromyogram (EMG) monitoring for real-time human-robot interaction. …”
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Impact of Different Metabolic Indicators on Ventricular Repolarization Indices in Obese Children: A Case Control Study by Asmaa A El Sehmawy, Rasha Abd El Samad Fawaz, Nadia Ahmed Agiba, Eman Aziz Elsherbiny, Nglaa Fathi Agaba, Doaa Sayed Mohammed, Haidy Mahmoud Nasr, Fatma Elzhraa AE Diab, Amal M Ahmed, Shorouk Issa Mahfouz, Heba T Okda, Doaa Sadek Ahmed

“…Methods: A case-control study included 90 children, divided into two groups: 45 obese children (cases) and 45 children with normal weight (controls). Electrocardiogram (ECG) readings were analyzed to calculate several parameters, including corrected QT (QTc), QTc dispersion (QTcd), JTc dispersion, and the TpTe interval, using 12-lead surface ECGs. …”
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The predictive value of optic nerve sheath diameter measurement via ultrasound for intracerebral hemorrhage complicated by cerebral-cardiac syndrome by Wei-Ze Fan, Jun-Rong Jiang, Hui-Ling Zang, Hui Cheng, Xiao-Hui Shen, Wen-Juan Yang, Hui Wang, Li-Xing Jing

“…Various clinical parameters, including sex, age, electrocardiogram (ECG) findings, myocardial markers, B-type natriuretic peptide (BNP) levels, Glasgow Coma Scale (GCS) score, ONSD, hematoma volume, and midline shift, were assessed. …”
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CircBAZ1B stimulates myocardial ischemia/reperfusion injury (MI/RI) by modulating miR-1252-5p/ATF3-mediated ferroptosis by Ruili Wei, Tianxiao Yang, Weihong Li, Xiqian Wang

“…Material and methods We used a rat model for MI/RI, assessing myocardial infarct size via electrocardiogram (ECG) and histological staining (hematoxylin and eosin [H&E] and 2,3,5-triphenyltetrazolium chloride [TTC]). …”
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The Value of P‐Wave Parameters Changes in Predicting Catheter Ablation Outcomes for Paroxysmal Atrial Fibrillation by Ibrahim Antoun, Xin Li, Zakariyya Vali, Ahmed Kotb, Ahmed Abdelrazik, Ivelin Koev, Riyaz Somani, G. André Ng

“…The P wave in the electrocardiogram (ECG) represents atrial depolarization. …”
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Effect of endoscopic sinus surgery on eustachian tube function in adult patients with chronic rhinosinusitis by Mahmoud Atef Abdelghaffar Youssef, Nassim Talaat Nassim, MohamedNourEddin Bashir Alkeeb, Tareq Muhammad Algarf

“…Routine preoperative laboratory investigation including complete blood count (CBC), liver and kidney function tests, and coagulation profile. An electrocardiogram (ECG) examination was done routinely for all patients above 40 years old. …”
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Inflammatory Biomarkers and Lipid Parameters May Predict an Increased Risk for Atrial Arrhythmias in Patients with Systemic Sclerosis by Veronika Sebestyén, Dóra Ujvárosy, Balázs Ratku, Hajnalka Lőrincz, Sára Csiha, Dóra Tari, Gyöngyike Majai, Sándor Somodi, Gabriella Szűcs, Mariann Harangi, Zoltán Szabó

“…Background/Objectives: Autoimmune inflammation enhances the electrical instability of the atrial myocardium in patients with systemic sclerosis (SSc); thus, atrial arrhythmia risk is increased, which might be predicted by evaluating the P wave interval and dispersion of a 12-lead surface electrocardiogram (ECG). Methods: We examined 26 SSc patients and 36 healthy controls and measured the P wave interval and P wave dispersion of the 12-lead surface ECG in each patient. …”
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Deep Learning for Obstructive Sleep Apnea Detection and Severity Assessment: A Multimodal Signals Fusion Multiscale Transformer Model by Zhang Y, Zhou L, Zhu S, Zhou Y, Wang Z, Ma L, Yuan Y, Xie Y, Niu X, Su Y, Liu H, Hei X, Shi Z, Ren X, Shi Y

“…Yitong Zhang,1 Liang Zhou,2 Simin Zhu,1 Yanuo Zhou,1 Zitong Wang,1 Lina Ma,1 Yuqi Yuan,1 Yushan Xie,1 Xiaoxin Niu,1 Yonglong Su,1 Haiqin Liu,1 Xinhong Hei,2 Zhenghao Shi,2 Xiaoyong Ren,1 Yewen Shi1 1Department of Otorhinolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi Province, People’s Republic of China; 2School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, Shaanxi Province, People’s Republic of ChinaCorrespondence: Xiaoyong Ren; Yewen Shi, Department of Otorhinolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Xi’an Jiaotong University, Address: NO. 157 Xi Wu Road, Xi’an, Shaanxi Province, Email cor_renxiaoyong@126.com; shiyewen59@outlook.comPurpose: To develop a deep learning (DL) model for obstructive sleep apnea (OSA) detection and severity assessment and provide a new approach for convenient, economical, and accurate disease detection.Methods: Considering medical reliability and acquisition simplicity, we used electrocardiogram (ECG) and oxygen saturation (SpO2) signals to develop a multimodal signal fusion multiscale Transformer model for OSA detection and severity assessment. …”
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