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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A Bioclinical Pattern for the Early Diagnosis of Cardioembolic Stroke by Bruno Zecca, Clara Mandelli, Alberto Maino, Chiara Casiraghi, Giovanbattista Bolla, Dario Consonni, Paola Santalucia, Giuseppe Torgano

“…At multiple logistic regression NT-proBNP>200 pg/mL, G/A ratio>0.70, and NIHSS score were independent predictors of cardioembolic stroke with high accuracy of the model, either including (AUC, 0.91) or excluding (AUC, 0.84) atrial fibrillation. Conclusions. A prediction model that includes NT-proBNP, G/A ratio, and NIHSS score can be useful for the early etiologic diagnosis of ischemic stroke.…”
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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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A novel interpretable deep learning model for diagnosis in emergency department dyspnoea patients based on complete data from an entire health care system. by Ellen T Heyman, Awais Ashfaq, Ulf Ekelund, Mattias Ohlsson, Jonas Björk, Ardavan M Khoshnood, Markus Lingman

“…The model assembled a list of 1,596 variables by importance for diagnosis, on top were prior diagnoses of heart failure or COPD, daily smoking, atrial fibrillation/flutter, life management difficulties and maternity care. …”
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A supervised model to identify wolf behavior from tri-axial acceleration by Charlotte Lorand, Léa Bouet, Olivier Devineau, Marianna Chimienti, Alina L. Evans, Peggy Callahan, Mark Beckel, Timothy G. Laske, Ane Eriksen

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A case series of patients with cardiac amyloidosis evaluated at a Colombian university hospital by Juan David López-Ponce de León, Juan David López-Ponce de León, Juan David López-Ponce de León, Santiago Granados-Álvarez, Juan Pablo Arango-Ibanez, Juan Pablo Arango-Ibanez, Juan Manuel Montero Echeverri, Andrea Alejandra Arteaga Tobar, Andrea Facio-Lince Garcia, Yorlany Rodas Cortes, Juan Esteban Gómez-Mesa, Juan Esteban Gómez-Mesa, Juan Esteban Gómez-Mesa

“…Most presented with functional capacity NYHA I-II and common electrocardiographic findings included low voltage, atrial fibrillation, and first-degree AV block. Echocardiography and cardiac magnetic resonance imaging revealed ventricular hypertrophy, diastolic dysfunction, reduced longitudinal strain, and late myocardial enhancement.ConclusionsAL and ATTRv were the most common causes of CA followed by ATTRwt. …”
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Severe fever with thrombocytopenia syndrome complicated with aspergillus endocarditis and multiple organ infarctions after glucocorticoid treatment in an immunocompetent man: a cas... by Yuxi Zhao, Xiaoxin Wu, Xinyu Wang, Lanjuan Li

“…His consciousness improved during the treatment of glucocorticoids, intravenous immunoglobulin, and ribavirin, but he developed embolisms in the spleen and right kidney, initially attributed to atrial fibrillation, and the anticoagulant agent was not administered due to the high risk of bleeding. …”
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Global longitudinal strain and its dynamics after replacement of aortal valve in patients with severe aortic stenosis by N.V. Ponych, O.O. Nemchyna, O.J. Zharinov, O.A. Yepanchintseva, B.M. Todurov

“…In the examined patients, significant correlations were found between baseline GLS with functional class of heart failure, concomitant tricuspid insufficiency, atrial fibrillation, duration of QRS complex, LV EF, end-diastolic, endsystolic volume index (EDV, ESV) and volume left atrium (LA), left ventricular myocardial mass index, aortic valve orifice area index, E/A ratio, and Thei index. …”
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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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A genetic exploration of the relationship between posttraumatic stress disorder and cardiovascular diseases by Eva Lukas, Rada R. Veeneman, Dirk J. A. Smit, Tarunveer S. Ahluwalia, Jentien M. Vermeulen, Gita A. Pathak, Renato Polimanti, Karin J. H. Verweij, Jorien L. Treur

“…We leveraged summary-level data of genome-wide association studies (PTSD: N = 1,222,882; atrial fibrillation (AF): N = 482,409; coronary artery disease (CAD): N = 1,165,690; hypertension (HT): N = 458,554; heart failure (HF): N = 977,323). …”
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Non‐invasive telemedical care in heart failure patients and stroke: post hoc analysis of TIM‐HF and TIM‐HF2 trials by Serdar Tütüncü, Marcus Honold, Kerstin Koehler, Oliver Deckwart, Friedrich Koehler, Karl Georg Haeusler

“…Rate of stroke/TIA within 12 months was in the intervention group similar compared with the control group (50.0% vs. 49.8%; P = 0.98) despite that the rate of newly detected atrial fibrillation (AF) was higher in the intervention group (14.1% vs. 1.6%; P < 0.001). …”
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Rationale and design of a prospective, observational, multicentre study on the safety and efficacy of apixaban for the prevention of thromboembolism in adults with congenital heart... by Despoina Ntiloudi, Sotiria Apostolopoulou, Alexandra Frogoudaki, Haralambos Karvounis, George Giannakoulas, Anastasios Kartas, Ioannis Doundoulakis, Athanasios Koutsakis, Diamantis Kosmidis, Georgios Rampidis, Afrodite Tzifa, Dimosthenis Avramidis, Olga Ntzoyvara, Sotiria Liori, Tereza Mousiama, Sophia Anastasia Mouratoglou

“…Introduction The risk for stroke in adults with congenital heart disease (ACHD) is increased, especially in the setting of commonly ensuing atrial arrhythmias (AA), namely atrial fibrillation, atrial flutter or intra-atrial re-entrant tachycardia. …”
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Unveiling the molecular and cellular links between obstructive sleep apnea-hypopnea syndrome and vascular aging by Wei Liu, Le Zhang, Wenhui Liao, Huiguo Liu, Wukaiyang Liang, Jinhua Yan, Yi Huang, Tao Jiang, Qian Wang, Cuntai Zhang, Peifang Wei

“…A substantial proportion of OSAHS patients, estimated to be between 40% and 80%, have comorbidities such as hypertension, heart failure, coronary artery disease, pulmonary hypertension, atrial fibrillation, aneurysm, and stroke, all of which are closely associated with VA. …”
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Development and validation of a novel risk-predicted model for early sepsis-associated acute kidney injury in critically ill patients: a retrospective cohort study by Bo Li, Kun Zhang, Cong-Cong Zhao, Zi-Han Nan, Yan-Ling Yin, Li-Xia Liu, Zhen-Jie Hu

“…The external validation cohort was generated from a single-centre ICU database from China.Participants A total of 7179 critically ill patients with sepsis were included in the development cohort and 269 patients with sepsis were included in the external validation cohort.Results A total of 12 risk factors (age, weight, atrial fibrillation, chronic coronary syndrome, central venous pressure, urine output, temperature, lactate, pH, difference in alveolar-arterial oxygen pressure, prothrombin time and mechanical ventilation) were included in the final prediction model. …”
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Contemporary Management of Patients With Chagas Cardiomyopathy in Bolivia by Evan Czulada, BS, Sascha Bercovitch, BA, Yazan Alshawkani, MD, Natalia Noya Weise, MD, Adriana E. Hernani Rodrigo, BS, Ronald Gustavo Durán Saucedo, MD, Marcelo Buhezo Chamón, MD, Robert H. Gilman, MD, David T. Martin, MD

“…Anticoagulation was prescribed if CCM patients had atrial fibrillation (91%) or apical aneurysm with thrombus (86%), yet few cardiologists prescribed anticoagulation in left ventricular systolic dysfunction or CCM diagnosis alone. …”
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Arterial Thromboembolism in Patients With Advanced Lung Cancer: Secondary Analyses of the Rising‐VTE/NEJ037 Study by Naoki Furuya, Yukari Tsubata, Takamasa Hotta, Toshihide Yokoyama, Masahiro Yamasaki, Nobuhisa Ishikawa, Kazunori Fujitaka, Tetsuya Kubota, Kunihiko Kobayashi, Takeshi Isobe

“…Multivariate analysis determined the incidence of VTE, D‐dimer, a comorbidity of atrial fibrillation, and four other factors as independent risk factors of ATE. …”
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Aortic Valve Surgery in Patients Over 75 Years Old: Early Results and Predictors of Hospital Mortality by Selman Dumani, Laureta Dibra, Ermal Likaj, Saimir Kuci, Edlira Rruci, Aferdita Veseli, Klodian Krakulli, Andi Kacani, Edvin Prifti, Ilir Tanku, Devis Pellumbi, Alessia Mehmeti, Adelina Musliu, Ali Refatllari, Altin Veshti

“…The incidence of major perioperative complications such as low cardiac output, stroke, respiratory problems, bleeding, atrial fibrillation, wound infection, and conduction disturbances was 6.8%, 2.7 %, 4.1%, 2.7 %, 21.9 %, 2.6%, and 4.2 %. …”
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Clinical Outcomes of Critically Ill Patients Using Inhaled Nitric Oxide (iNO) during Intrahospital Transport by Leonid Koyfman, Omri Simchon, Anna Koyfman, Shoshana Mushaev, Benjamin F. Gruenbaum, Ron Gal, Michael Friger, Natan Arotsker, Alexander Zlotnik, Moti Klein, Evgeni Brotfain

“…Among critically ill patients who were transported while being administered iNO, only one patient had an adverse event (atrial fibrillation) on transport. We found that maximal iNO dosage during ICU stay, duration of mechanical ventilation, and percent of vasopressor support were the only independent risk factors for ICU mortality in both study groups. …”
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Patients with chronic heart failure and predominant left atrial versus left ventricular myopathy by Xuanyi Jin, Wan Ting Tay, Dinna Soon, David Sim, Seet Yoong Loh, Sheldon Lee, Fazlur Jaufeerally, Lieng Hsi Ling, A. Mark Richards, Adriaan A. Voors, Carolyn S. P. Lam, Joost P. van Melle

“…Patients with predominant LA myopathy were older, had a higher prevalence of atrial fibrillation (AF), diabetes, higher plasma concentrations of N-terminal pro-B-type natriuretic peptide (NT-proBNP), Growth differential factor 15(GDF15), high sensitivity Troponin T (hs-TNT) as well as more dilated left and right atria, and worse right atrial function compared to other groups (all p-values < 0.05). …”
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A LASSO-derived clinical score to predict severe acute kidney injury in the cardiac surgery recovery unit: a large retrospective cohort study using the MIMIC database by Qi Guo, Jingjing Huang, Yuewei Li, Hongwei Li, Jingfeng Wang, Yong Xie, Tucheng Huang, Wanbing He, Wenyu Lv, Jieping Huang, Yangxin Chen

“…Objectives We aimed to develop an effective tool for predicting severe acute kidney injury (AKI) in patients admitted to the cardiac surgery recovery unit (CSRU).Design A retrospective cohort study.Setting Data were extracted from the Medical Information Mart for Intensive Care (MIMIC)-III database, consisting of critically ill participants between 2001 and 2012 in the USA.Participants A total of 6271 patients admitted to the CSRU were enrolled from the MIMIC-III database.Primary and secondary outcome Stages 2–3 AKI.Result As identified by least absolute shrinkage and selection operator (LASSO) and logistic regression, risk factors for AKI included age, sex, weight, respiratory rate, systolic blood pressure, diastolic blood pressure, central venous pressure, urine output, partial pressure of oxygen, sedative use, furosemide use, atrial fibrillation, congestive heart failure and left heart catheterisation, all of which were used to establish a clinical score. …”
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