High-coverage whole-genome sequencing of a Jakun individual from the “Orang Asli” Proto-Malay subtribe from Peninsular Malaysia by Wai-Sum Yap, Alvin Cengnata, Woei-Yuh Saw, Thuhairah Abdul Rahman, Yik-Ying Teo, Renee Lay-Hong Lim, Boon-Peng Hoh

“…Some of these variants are associated with age-related macular degeneration, atrial fibrillation, and HDL cholesterol level. Additionally, we located a total of 3310 variants on 32 core adsorption, distribution, metabolism, and elimination (ADME) genes. …”
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Differences between private and public primary health care centers and differences between men and women in antihypertensive care and cardiovascular prevention in all patients with... by Per Wändell, Anders Norrman, Julia Eriksson, Charlotte Ivarsson, Hrafnhildur Gudjonsdottir, Maria Hagströmer, Lena Lundh, Jan Hasselström, Boel Brynedal, Christina Sandlund, Axel C. Carlsson

“…Differences in comorbidities between men and women were found, with higher frequencies of coronary heart disease, congestive heart failure, atrial fibrillation, stroke, diabetes, and gout among men. Regarding antihypertensive treatment, women received less treatment of calcium channel blockers and ACE inhibitors, but more of angiotensin receptor blockers. …”
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Doctor, what is my risk of bleeding after cardiac surgery while on combined anticoagulant with antiplatelet therapy? A validated nomogram for risk assessment by Haolong Han, Haolong Han, Hang Xu, Hang Xu, Jifan Zhang, Weihui Zhang, Yi Yang, Xia Wang, Li Wang, Dongjin Wang, Weihong Ge

“…Various models were developed, validated and evaluated by using methods including ROC curves, calibration curves, the Hosmer-Lemeshow test, net reclassification improvement (NRI), integrated discrimination improvement (IDI) index, decision curve analysis (DCA) and clinical impact curves (CIC).ResultsMod2 showed the best performance (AUC of validation set = 0.863) which consists of 8 independent predictive factors (gender, age > 65 years, diabetes, anemia, atrial fibrillation, cardiopulmonary bypass time, intraoperative bleeding and postoperative drainage), with a significantly higher AUC compared to Mod1 (only preoperative factors) and Mod3 (the HAS-BLED scoring model). …”
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Efficacy and safety of edoxaban in patients with chronic thromboembolic pulmonary hypertension: protocol for a multicentre, randomised, warfarin-controlled, parallel group trial -... by Keiichi Fukuda, Satoshi Yasuda, Hiroyuki Tsutsui, Toyoaki Murohara, Kohtaro Abe, Koichiro Tatsumi, Junji Kishimoto, Yu Taniguchi, Yuichi Tamura, Koji Todaka, Shun Minatsuki, Kazuya Hosokawa, Yuko Kobayakawa, Takumi Inami, Nobutaka Ikeda

“…The safety of DOACs is superior to warfarin, with less intracranial bleeding in patients with non-valvular atrial fibrillation and venous thromboembolism. Edoxaban, the latest DOAC, also has proven efficacy and safety for those diseases in two large clinical trials; the ENGAGE-AF trial and HOKUSAI-VTE trial. …”
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Comparisons of risk factors and outcomes between abdominal aortic aneurysm and peripheral arterial disease: a case-control study by Ian Beeton, Jay Acharya, Bengisu Kesin Meric, James Hobden, Tahir Ali, Thang S. Han

“…Myocardial infarct was more prevalent in AAA, and diabetes more in PAD, whilst atrial fibrillation, stroke, congestive heart failure and hypertension did not differ between groups. …”
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Cardioattentionnet: advancing ECG beat characterization with a high-accuracy and portable deep learning model by Youfu He, Youfu He, Youfu He, Yu Zhou, Yu Zhou, Yu Qian, Jingjie Liu, Jinyan Zhang, Debin Liu, Qiang Wu, Qiang Wu

“…Specifically, CANet achieved high accuracy in classifying various arrhythmic events, with the following accuracies reported for different categories: Normal (97.37 ± 0.30%), Supraventricular (98.09 ± 0.25%), Ventricular (92.92 ± 0.09%), Atrial Fibrillation (99.07 ± 0.13%), and Unclassified arrhythmias (99.68 ± 0.06%). …”
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Conversion from Nonshockable to Shockable Rhythms and Out-of-Hospital Cardiac Arrest Outcomes by Initial Heart Rhythm and Rhythm Conversion Time by Wanwan Zhang, Shengyuan Luo, Daya Yang, Yongshu Zhang, Jinli Liao, Liwen Gu, Wankun Li, Zhihao Liu, Yan Xiong, Ahamed Idris

“…The conversion from a nonshockable rhythm (asystole or pulseless electrical activity (PEA)) to a shockable rhythm (pulseless ventricular tachycardia or ventricular fibrillation) may be associated with better out-of-hospital cardiac arrest (OHCA) outcomes. …”
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Application of Dragonnet and Conformal Inference for Estimating Individualized Treatment Effects for Personalized Stroke Prevention: Retrospective Cohort Study by Sermkiat Lolak, John Attia, Gareth J McKay, Ammarin Thakkinstian

“…The study also aimed to determine and validate the causal effects of known stroke risk factors—hypertension (HT), diabetes mellitus (DM), dyslipidemia (DLP), and atrial fibrillation (AF)—using both a conventional causal model and machine learning models. …”
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Survival after aluminum phosphide poisoning with cardiotoxicity: a case report by Habtamu Mesele Gebray, Addisu Liknaw Chekol

“…Six hours after intensive care unit admission, the electrocardiogram showed atrial fibrillation with fast ventricular response, ST segment elevation, and inverted T-waves. …”
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Examining the Outcomes of Hybrid Coronary Revascularization in Acute STEMI Patients from 2015 to 2022 by Mozhgan Bahramian, Seyed Ali Moezi bady, Maryam Bahramian, Ahmad Amouzeshi

“…Following surgery and during hospitalization, arrhythmias were observed, including 33.3% with premature ventricular contractions, 18.1% with atrial fibrillation, and 3.1% with ventricular tachycardia. …”
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The impact of anticoagulant-related bleeding on quality of life: Development of a novel measure based on perspectives from older adults. by Anna L Parks, Stacey L Slager, Amy M Cizik, Margaret C Fang, Mark A Supiano, Patti P Katz, Daniel M Witt

“…<h4>Background</h4>Venous thromboembolism (VTE) and atrial fibrillation (AF) disproportionately affect older adults, who are at increased risk of bleeding from treatment with anticoagulant therapy. …”
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Risk factors of stroke-related sarcopenia: a systematic review and meta-analysis by Huan Yan, Juan Li, Lihong Xian, Yujie Li, Simin Li, Qinghua Wen

“…Meta-analysis was then performed using Revman 5.4 software to determine the significant risk factors for patients with stroke-related sarcopenia.ResultsA total of 14 studies (n = 3,113) were selected to determine the following factors that were statistically significant in patients with stroke-related sarcopenia: Age (OR = 1.04; 95% CI: 1.02, 1.06; P &lt; 0.0001), tube feeding (OR = 3.98; 95% CI: 2.12, 7.47; P &lt; 0.0001), pre-stroke sarcopenia (OR = 1.84; 95% CI: 1.39, 2.43; P &lt; 0.0001), atrial fibrillation (OR = 1.53; 95% CI: 1.15, 2.02; P = 0.003), NIHSS score (OR = 1.48; 95% CI: 1.21, 1.81; P = 0.0001), and osteoporosis (OR = 1.801; 95% CI: 58, 2.04; P &lt; 0.00001). …”
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THE ROLE OF DISPOSITION OF CONNECTING TISSUE IN THE RISE OF NONTRAUMATIC SUBARACHNOIDAL HEMORRHAGE IN YOUNG AGE by E. V. Petrova, T. F. Popova, I. A. Gribacheva, G. K. Taitubayeva

“…When examining 78 patients with subarachnoid hemorrhage at a young age, the risk factors for its development were revealed (non-closed Willisian circle (86.6%), pathological tortuosity of the cerebral vessels (81.6%), dysplastic changes in the heart (68.3%) and kidneys (63.3%), which significantly differed from the comparison group (arterial hypertension – 97.8%, heart disease (IHD, atrial fibrillation) – 53.2%, hypercholesterolemia – 97.8%.) …”
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A Small Increase in Serum Creatinine within 48 h of Hospital Admission Is an Independent Predictor of In-Hospital Adverse Outcomes in Patients with ST-Segment Elevation Myocardial... by Jiajia Zhu, Wenxian Liu, Jiang Li, Changsheng Ma, Dong Zhao

“…Secondary outcomes included the incidence of massive hemorrhage, in-hospital death, atrial fibrillation, heart failure, cardiogenic shock, cardiac arrest, and stroke. …”
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Healthcare-seeking delays and associated factors among immigrant patients with acute ischaemic stroke in Shenzhen: a retrospective observational study by Qingshi Zhao, Changyu Li, Zongbi Wu, Youli Jiang, Yanfeng Li

“…Conversely, factors associated with shorter delays included cardioembolic strokes (aOR: 0.50, 95% CI: 0.28 to 0.90) and atrial fibrillation (aOR: 0.45, 95% CI: 0.23 to 0.89). Delay rates were significantly lower among patients referred by emergency medical services compared with those self-transporting. …”
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Development and validation of an explainable machine learning prediction model of hemorrhagic transformation after intravenous thrombolysis in stroke by Yanan Lin, Yan Li, Yayin Luo, Jie Han

“…The explainable analysis of the RF-based ML model indicated that the National Institute of Health Stroke Scale (NIHSS) score, age, platelet count, and atrial fibrillation were the primary determinants for HT following IV-tPA thrombolysis.ConclusionThe RF-based explainable ML model demonstrated promising predictive ability for estimating the risk of HT after IV-tPA thrombolysis and may have the potential to assist the clinical decision-making in emergency settings.…”
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Relationship between White Blood Count to Mean Platelet Volume Ratio and Clinical Outcomes and Severity of Coronary Artery Disease in Patients Undergoing Primary Percutaneous Coron... by Altekin Refik Emre, Kilinc Ali Yasar, Yanikoglu Atakan, Cicekcibasi Orhan, Kucuk Murathan

“…The rates of in-hospital MACE (p=0.001), cardiac death (p<0.001), decompansated heart failure (0.007), and ventricular tachycardia/fibrillation (p=0.003) were higher in the high WMR group than in the low WMR group. …”
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CytoSorb hemoadsorption of apixaban during cardio-pulmonary bypass for heart transplantation by Anouk Frering, MD, Antoine Abi Lutfallah, MD, Aude Carillion, MD, PhD, Daniel Wendt, MD, Pascal Leprince, MD, PhD, Adrien Bougle, MD, PhD, Guillaume Lebreton, MD, PhD

“…He was anticoagulated with a Vitamin K antagonist (VKA) due to atrial fibrillation and was switched to apixaban. Hemoadsorption by a CytoSorb cartridge was performed during the entire CPB duration. …”
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Clinical code usage in UK general practice: a cohort study exploring 18 conditions over 14 years by Christos Grigoroglou, Darren M Ashcroft, Evangelos Kontopantelis, David Reeves, Salwa S Zghebi, Rosa Parisi, Brian McMillan

“…Objective To assess the diagnostic Read code usage for 18 conditions by examining their frequency and diversity in UK primary care between 2000 and 2013.Design Population-based cohort studySetting 684 UK general practices contributing data to the Clinical Practice Research Datalink (CPRD) GOLD.Participants Patients with clinical codes for at least one of asthma, chronic obstructive pulmonary disease, diabetes, hypertension (HT), coronary heart disease, atrial fibrillation (AF), heart failure, stroke, hypothyroidism, chronic kidney disease, learning disability (LD), depression, dementia, epilepsy, severe mental illness (SMI), osteoarthritis, osteoporosis and cancer.Primary and secondary outcome measures For the frequency ranking of clinical codes, canonical correlation analysis was applied to correlations of clinical code usage of 1, 3 and 5 years. …”
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How far back do we need to look to capture diagnoses in electronic health records? A retrospective observational study of hospital electronic health record data by Tom Marshall, Elizabeth Sapey, Miles D Witham, Steve Harris, Rachel Cooper, Chris Plummer, Felicity Evison, James Wason, Heather J Cordell, Suzy Gallier, Fiona E Matthews, Ewan Pearson, Avan A Sayer, Mervyn Singer, Joanne Field, Mohammed Osman, Sian Robinson, Victoria Bartle, Thomas Scharf, Jadene Lewis, Rominique Doal, Peta le Roux, Ray Holding, Paolo Missier

“…For each diagnosis, we derived the number of patients with the diagnosis recorded at least once over the full 10-year lookback period, and then compared this with shorter lookback periods from 1 year to 9 years prior to the index admission.Results Seven of the top 10 most common diagnoses in the COPD dataset reached &gt;90% completeness by 6 years of lookback. Atrial fibrillation and diabetes were &gt;90% coded with 2–3 years of lookback, but hypertension and asthma completeness continued to rise all the way out to 10 years of lookback. …”
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