Assessment of Pre-test and Clinical Probability in the Diagnosis of Chronic Coronary Syndrome — What's New? by A. N. Sumin, A. V. Shcheglova

“…In the 2019 European Society of Cardiology (ESC) guidelines, the diagnostic algorithm for chronic coronary syndrome (CCS) was significantly changed, a significant revision of the pretest probability assessment scale (PTP) was made, an assessment of the clinical probability of obstructive coronary artery disease was proposed, the recommendations on the use of diagnostic tests in various groups of patients were updated. …”
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Unpacking the dangers of super absorbent polymer water beads: an in vitro analysis by Jack J. Hachem, Jack J. Hachem, Javier Monagas, Javier Monagas, Ankona Banerjee, Robert A. Noel, Robert A. Noel

“…ObjectivesThis study aims to investigate the risk of pediatric bowel obstruction from various types of super absorbent polymer (SAP) beads in different liquid media, explore treatment options, and develop a clinical decision-making algorithm for healthcare providers.MethodsThree experiments were conducted involving the measurement of SAP beads' expansion in different liquid media. …”
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Mapping EQ-5D-5L Score From SGRQ in Patients with Asthma and/or COPD in NOVELTY by Jackson D, Quinton A, Zhang F, Müllerová H, Janson C, Sadatsafavi M

“…Dan Jackson,1 Anna Quinton,2 Fanni Zhang,3 Hana Müllerová,4 Christer Janson,5 Mohsen Sadatsafavi6 1Statistical Innovation Group, AstraZeneca, Cambridge, UK; 2Global Health Economics and Payer Evidence, BioPharmaceuticals Business Unit, AstraZeneca, Cambridge, UK; 3Statistical Innovation Group, AstraZeneca, Gaithersburg, MD, USA; 4Respiratory Evidence Strategy, BioPharmaceuticals Medical, AstraZeneca, Cambridge, UK; 5Department of Medical Sciences, Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden; 6Respiratory Evaluation Sciences Program, Collaboration for Outcomes Research and Evaluation, Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, CanadaCorrespondence: Dan Jackson, Statistical Innovation, AstraZeneca, Academy House, 136 Hills Road, Cambridge, CB2 8PA, UK, Email daniel.jackson1@astrazeneca.comPurpose: The St George’s Respiratory Questionnaire (SGRQ) measures health status in obstructive airways disease. Starkie et al proposed an algorithm for mapping the SGRQ to EQ-5D-5L, a preference-based utility measure, in chronic obstructive pulmonary disease (COPD) (Value Health 2011;14:354– 60); only SGRQ total score, its squared value, and sex were included as covariates. …”
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Is the problem of intact coronary arteries still or is it close to solving? by A. N. Sumin

“…The diagnostic algorithms used until recently led to the fact that in invasive coronary angiography obstructive changes in the coronary arteries were detected in less than half of the cases. …”
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HAP-COVID: Hybrid Model Integrating Machine Learning and Neutrosophic Statistics to Estimate Mortality Risk in COVID-19 Comorbid Patients by Daniel Iturburu-Salvador, Lorenzo Cevallos-Torres, Rosangela Caicedo-Quiroz, Irma Naranjo-Peña, Rosa Hernández-Magallanes, Rosa Gonzáles-Quiñones

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Rolling Bearing Fault Diagnosis Based on Optimized VMD Combining Signal Features and Improved CNN by Yingyong Zou, Xingkui Zhang, Wenzhuo Zhao, Tao Liu

“…The golden jackal optimization (GJO) algorithm is employed to optimize the key parameters of the VMD, enabling effective signal decomposition. …”
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CodeX effectively identifies high-risk patients with asthma or COPD in Dutch primary care, supporting guideline-driven treatment by Iris van Geer-Postmus, Marika T. Leving, Yoran H. Gerritsma, Esmé Baan, Lars Dijk, Evelien Harms, David Price, Gerian H. Prins, Jennifer K. Quint, Dermot Ryan, Philippe Salomé, Björn Ställberg, Nilouq Stoker, Janwillem H. Kocks

“…The algorithms were evaluated in nine general practices in the Netherlands. …”
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Comprehensive bioinformatics analysis identifies metabolic and immune-related diagnostic biomarkers shared between diabetes and COPD using multi-omics and machine learning by Qianqian Liang, Yide Wang, Zheng Li, Zheng Li, Zheng Li, Zheng Li

“…BackgroundDiabetes and chronic obstructive pulmonary disease (COPD) are prominent global health challenges, each imposing significant burdens on affected individuals, healthcare systems, and society. …”
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AI Machine Learning–Based Diabetes Prediction in Older Adults in South Korea: Cross-Sectional Analysis by Hocheol Lee, Myung-Bae Park, Young-Joo Won

“… Abstract BackgroundDiabetes is prevalent in older adults, and machine learning algorithms could help predict diabetes in this population. …”
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Resistant arterial hypertension: is it really so or have we missed something? by V. A. Ionin

“…Presented are modern ideas about the most common secondary causes of arterial hypertension, such as obstructive sleep apnea syndrome, the possibility of correcting this condition and the choice of drug therapy. …”
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Effects of using wearable devices to monitoring physical activity in pulmonary rehabilitation programs for chronic respiratory diseases: A systematic review protocol. by Thaianne Rangel Agra Oliveira, Ana Tereza do Nascimento Sales Figueiredo Fernandes, Thayla Amorim Santino, Fernanda Elizabeth Pereira da Silva Menescal, Patrícia Angélica de Miranda Silva Nogueira

“…Patients with chronic obstructive pulmonary disease (COPD) and asthma present low levels of physical fitness because they avoid physical exercises due to the fear of triggering recurrent symptoms. …”
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SIMSPIRE: A Simulator of the Respiratory System by Andrea Bombarda, Silvia Bonfanti, Angelo Gargantini, Elvinia Riccobene

“…The versatility of SIMSPIRE makes it suitable for simulating diverse respiratory scenarios and evaluating new algorithms or control strategies for ventilatory support. …”
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Validating a smart bed against polysomnography for sleep apnea detection by Farzad Siyahjani, Kostiantyn Kalenyk, Gary Garcia-Molina, Saeed Babaeizadeh

“…Abstract Sleep-disordered breathing (SDB), including obstructive sleep apnea (OSA) and central sleep apnea (CSA), significantly impairs sleep quality and overall well-being. …”
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Machine learning and transformer models for prediction of postoperative pneumonia risk in patients with lower limb fractures by Yiqun Chen, Mingxuan Ma, Dandan Qu, Chunxiang Xu

“…To forecast the likelihood of postoperative pneumonia occurrence, both machine learning and deep learning algorithms were employed. The study identified Age, Gender, Fracture type, Venous thromboembolism (VTE), Hypertension, Chronic obstructive pulmonary disease (COPD), Cancer, Atrial fibrillation, Cerebrovascular disease, Hypoalbuminemia, Free fatty acid, Albumin, Albumin to globulin ratio, Calcium, Fibrinogen, D-dimer, Alcohol, Surgical grade and C-reactive protein as significant predictors of postoperative pneumonia. …”
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Task shifting for non-communicable disease management in low and middle income countries--a systematic review. by Rohina Joshi, Mohammed Alim, Andre Pascal Kengne, Stephen Jan, Pallab K Maulik, David Peiris, Anushka A Patel

“…Factors such as training of NPHWs, provision of algorithms and protocols for screening, treatment and drug titration were the main enablers of the task-shifting intervention. …”
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A Machine Learning Approach to the Interpretation of Cardiopulmonary Exercise Tests: Development and Validation by Or Inbar, Omri Inbar, Ronen Reuveny, Michael J. Segel, Hayit Greenspan, Mickey Scheinowitz

“…This study is aimed at assessing the potential of using computer-aided algorithms to evaluate CPET data for identifying chronic heart failure (CHF) and chronic obstructive pulmonary disease (COPD). …”
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Chronic liver disease detection using ranking and projection-based feature optimization with deep learning by Sumaiya Noor, Salman A. AlQahtani, Salman Khan

“…Early detection of liver conditions is crucial, and recent advancements in machine learning (ML) have proven highly effective in predicting diseases like chronic obstructive pulmonary disease (COPD), hypertension, and diabetes. …”
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Intensive Care for Anaphylaxis in Children: Current Trends by Yu. V. Bykov, A. N. Obedin, V. V. Fischer, E. V. Volkov, O. V. Zinchenko

“…Clinically, anaphylaxis is manifested by allergic skin rash, angioedema, obstruction of the upper respiratory tract (URT), broncho-obstructive syndrome (BOS), arterial hypotension, tachycardia. …”
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The Emerging Role of Computed Tomography Coronary Angiography in the Left Main Stem Percutaneous Coronary Intervention by Asad Shabbir, Abdelrahman Attia, Nikkole Marie Weber, Mustafa Alhassan, Monika Radike, Conor M Lane, Apurva Bhavana Challa, Malgorzata Wamil

“…Computed tomography coronary angiography (CTCA) has emerged as a leading non-invasive imaging modality, often serving as the first-line investigation to exclude obstructive CAD in patients with chronic coronary syndrome. …”
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Diagnosis and treatment of synthetic mid-urethral sling complications by Helen E. O’Connell, Christopher K. Harding, Gaurav Khatri, Phyllis Glanc, Eric Bautrant, Sarah Love-Jones, Karen Ward, Henry H. Yao, Ventia Hoe, Charlotte Korte, Nicolle Germano, Sanjeevan Kalavampara, Sherif Mourad, Hashim Hashim

“…The management of complications following SMUS placement is discussed and algorithms are provided for each of the common complications of SMUS. …”
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