bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hypertrophic cardiomyopathy and atrial fibrillation: the Cardiomyopathy/Myocarditis Registry of the EURObservational Research Programme of the European Society of Cardiology
Authors: Mizia-Stec Katarzyna , Gimeno Juan R , Charron Philippe , Elliott Perry M , Kaski Juan Pablo , Maggioni Aldo Pietro , Tendera Michal , Tavazzi Luigi , Wybraniec Maciej T , Laroche Cécile , Caforio Alida 
Published: February 2025

BackgroundHypertrophic cardiomyopathy (HCM) is commonly associated with atrial fibrillation (AF), but its impact on outcomes in real-world practice is uncertain. The aim of the study was to evaluate the clinical profile and prognosis of patients with HCM and AF.MethodsOverall, 1739 adult patients with HCM (40.9% women; median age: 55.5 years) were enrolled in the EURObservational Research Programme (EORP) Cardiomyopathy/Myocarditis Registry. Clinical characteristics at baseline and cardiovascular endpoints at 1 year were prospectively assessed.ResultsAt baseline, AF was present in 478 (27.5%) patients; an additional 48 patients (2.8%) developed AF at 1-year follow-up.Oral anticoagulants (OAC) were administered at baseline in 69.5% of the patients. Patients with AF were older and more symptomatic, had higher body mass index, more prevalent cardiovascular risk factors, a history of sustained ventricular tachycardia and implantable cardioverter-defibrillator, lower left ventricular ejection fraction (LVEF), larger left atria (LA) and more advanced LV diastolic dysfunction (pp<0.001 for all). Age at enrolment (OR=1.068, p<0.001), symptom: palpitations (OR=2.191, p<0.001), LVEF (OR=0.978, p<0.001) and LA diameter (OR=1.094, p<0.001) were independent predictors of AF in HCM population. Patients with AF had a higher annual incidence of stroke/transient ischaemic attack (2.6 vs 0.9%, p=0.009) and a trend towards increased all-cause mortality in comparison to the non-AF cohort (3.4 vs 1.7%, p=0.053).ConclusionsAF affects nearly one-third of patients with HCM and is associated with higher symptom burden, increased prevalence of comorbidities, myocardial remodelling and increased annual risk of cerebral ischaemic events. In spite of this, the utilisation of OAC was suboptimal.
Concomitant Atrial Fibrillation Radiofrequency Ablation During Total Thoracoscopic Valve Replacement: Safety, Early‐Term Efficacy, and Predictors of Early Atrial Arrhythmia Recurrence
Authors: Lin Zhiqin , Xu Zheng , Chen Liangwan , Dai Xiaofu 
Published: February 2025

Background: Atrial fibrillation (AF) complicates cardiac surgery, including valve replacements, increasing perioperative risk and impacting long‐term outcomes. Concomitant radiofrequency ablation (RFA) during cardiac surgeries shows promise for managing AF. This study investigates the safety, early efficacy, and predictors of atrial arrhythmia recurrence (AAR) following AF RFA during total thoracoscopic valve replacement (TTVR).Methods: This retrospective observational study included 625 patients who underwent TTVR with concomitant AF RFA from January 2017 to May 2023. Demographic data, preoperative characteristics, operative details, and postoperative outcomes were collected. The primary outcome was AAR within 3 months postoperatively.Results: Of the 625 patients, AAR was observed in 21.6% (135 patients), with a median time to recurrence of 45 days. Independent predictors of early AAR included age, AF duration, body mass index (BMI), AF type, left atrial diameter, and ablation extent. Notably, persistent and long‐standing persistent AF, a larger left atrial diameter, and ablation of the left atrium alone were associated with higher recurrence risks. The in‐hospital mortality rate was 1.6%, with no significant differences in early complications between the recurrence and nonrecurrence groups.Conclusions: Concomitant AF RFA during TTVR is a safe and effective strategy for managing AF in minimally invasive valve surgery. Early predictors of AAR include age, AF duration, BMI, AF type, left atrial diameter, and ablation extent. Future multicenter studies with longer follow‐ups are needed to validate these findings and provide robust evidence on long‐term outcomes.
The Home Use of Probiotics and Paraprobiotics for the Maintenance of Tongue Eubiosis: A Case Report
Authors: Cannizzaro Salvatore , Maiorani Carolina , Scribante Andrea , Butera Andrea 
Published: February 2025

Aim: Halitosis is the unpleasant odor emitted from the oral cavity during exhalation and phonation. Using oral care products containing specific probiotics and paraprobiotics, combined with lifestyle changes, this study is aimed at resolving the patient’s altered breath odor.Case Report: A 49‐year‐old male patient suffered from retronasal discharge, bacterial plaque on the back of his tongue, and bad breath. He underwent a professional oral hygiene session, received instructions in proper home oral hygiene techniques, and was advised on appropriate lifestyle changes. The use of oral care products based on probiotics and paraprobiotics was recommended. Sixty days later, the patient was reevaluated and was satisfied with the results, as his tongue had improved significantly, and he no longer experienced any bad sensations in his mouth.Conclusion: Systematic removal of bacterial biofilm and the use of probiotics and paraprobiotics can be useful in the prevention and treatment of halitosis.
Exploring Compassionate Care Patterns Among Nurses and Its Associations With Resilience: Multilevel Contextual Effects Modeling
Authors: Mousazadeh Noushin , Babaieasl Faezeh , Rezapour Maysam , Hakimi Hamideh 
Published: February 2025

Background: Compassionate care and resilience play crucial roles in enhancing care quality. Understanding compassionate care patterns in the nursing population and their relationship with resilience can improve knowledge of these concepts.Objective: To investigate compassionate care patterns among Iranian nurses and their associations with resilience at individual and contextual levels.Method: This cross‐sectional study used Persian versions of the 28‐item Compassionate Care Questionnaire (CCQ) and Connor–Davidson Resilience Scale (CD‐RISC). 478 Iranian nurses from 19 wards across 16 hospitals in northern Iran participated between February and September 2023. Latent profile analysis (LPA) was performed on compassionate care dimensions. Multilevel logistic regression modeling explored associations between resilience dimensions and compassionate care profiles, adjusting for control variables at individual and contextual levels.Results: LPA revealed two distinct compassionate care profiles: “Low Compassionate Care” (16.3%) and “High Compassionate Care” (83.7%). After adjusting for control variables, personal competence (OR = 1.09, 95% CI: 1.02–1.15), positive acceptance (OR = 1.23, 95% CI: 1.06–1.44), and spirituality (OR = 1.17, 95% CI: 1.01–1.38) were associated with higher odds of inclusion in the “High Compassionate Care” profile. The empty model showed that 6.5% of compassionate care patterns were explained at the ward level. After adding predictors at individual and ward levels, explained variances were reduced to 1.5% and < 0.01%, respectively.Conclusions and Implication: This study offers insights into compassionate care among nurses, showing that few exhibited “Low Compassionate Care.” Higher resilience was positively linked to elevated compassionate care levels. Policymakers, managers, and educators can leverage these findings to enhance nursing management and support systems by prioritizing resilience‐building strategies, ultimately improving patient care quality.
A transfer learning-based deep neural network for tomato plant disease classification
Authors: Lachhab Fadwa , Aboulmanadel El Mahdi 
Published: February 2025

<p>The agriculture sector plays a significant role in Morocco's economy, and tomato farming is an essential component of this industry. However, tomato plants are prone to various diseases that can adversely affect productivity and quality. A novel approach to detect tomato plant diseases is proposed int this study, by modeling and developing a transfer learning-based convolution neural network (CNN) model that processes real-time images. The model is trained and validated with a deep CNN using a private dataset of 18,159 annotated tomato leaf images collected from experimental farms over five months. The performance of our residual neural network (ResNet-50) model is evaluated using stochastic gradient descent (SGD) and adaptive moment estimation (Adam) optimizers to demonstrate superior efficiency. Farmers can simply send images of their tomato leaves through our platform, and the trained model will identify accurately the disease. The developed model demonstrates exceptional performance, achieving a 0.96 F1 score and an 97% accuracy rate when tested on a dataset generated from real-world fields. This approach not only improves disease detection but also contributes to sustainable farming practices and enhanced productivity.</p>
A comparative analysis of exponential smoothing method and deep learning models for bitcoin price prediction
Authors: Tripathy Nrusingha , Mishra Debahuti , Hota Sarbeswara , Priyadarshani Behera Mandakini , Chandra Das Gobinda , Sekhar Dalai Sasanka , Nayak Subrat Kumar 
Published: February 2025

<p>Blockchain technology is the foundation of cryptocurrencies, which are virtual currencies. The decentralized nature of cryptocurrencies has resulted in a significant reduction of central authority over them, which has implications for global trade and relations. The need for an effective model to anticipate the price of cryptocurrencies is essential due to their wide variations in value. Due to the shortcomings of conventional production forecasting, in this work, four distinct models were used. The deep learning models are the long short-term memory (LSTM) and bidirectional long short-term memory (Bi-LSTM), and both the Facebook-Prophet and Silverkite support the exponential smoothing technique. Silverkite is designed to handle a wide range of time series forecasting tasks. Considering past bitcoin information from January 2012 to March 2021, a period of nine years, we looked at the models. The Bi-LSTM model yields a 7.073 mean absolute error (MAE) and a 3.639 root mean squared error (RMSE). The Bi-LSTM model identifies the deviations that might draw attention and avert any problems.</p>
Enhancing mechanical, degradation, and tribological properties of biocomposites via treatment and alumina content
Authors: Sengottaiyan Saravanakumar , Subbarayan Sathiyamurthy , Natarajan Ravikumar , Gurunathan Vishnupriya 
Published: February 2025

The objective of this study is to investigate the effects of alumina filler content and NaOH-treated Roselle fibers on mechanical, thermal, biodegradation, and tribological properties while identifying optimal conditions for eco-friendly applications. Compression molding was employed to fabricate composites, and the results revealed significant improvements in performance with chemical treatment and optimal filler content. Mechanical testing showed that the 10% alumina composite exhibited the highest tensile, flexural, and impact strengths due to enhanced interfacial bonding and uniform filler dispersion. Thermal analysis demonstrated improved stability, with the 10% alumina composite offering the best thermal degradation resistance. Biodegradation studies indicated slower weight loss for alumina-filled composites, highlighting their environmental durability. Tribological evaluations revealed that the 10% alumina composite achieved the lowest specific wear rate (SWR) and coefficient of friction (COF), supported by SEM analysis showing minimal wear debris and surface damage. Optimization using a simulated annealing algorithm identified ideal conditions (sliding velocity: 6.6 m/s, sliding distance: 500.33 m, and alumina content: 10.62%) that minimized SWR (13.28 × 10⁻⁵ mm³/Nm) and COF (0.278). These findings provide valuable insights into Roselle fiber composites for sustainable applications in the automotive and packaging industries.
Clinical relevance of plasma ADAM-17 with cognition and neurodegeneration in Alzheimer's disease
Authors: Chen Zu-Qi , Wang Meng-Ting , Tan Cheng-Rong , Huang Shan , Zhou Fa-Ying , Shen Ying-Ying , Zeng Gui-Hua , Fan Dong-Yu , Wang Yan-Jiang 
Published: February 2025

Background A disintegrin and metalloproteinase 17 (ADAM-17) has multiple pathophysiological functions in Alzheimer's disease (AD). However, the clinical relevance of ADAM-17 in AD is not clear yet. Objective This study aims to investigate the levels of circulating ADAM-17 and their association with AD. Methods This cross-sectional study recruited 40 normal cognition (NC) participants and 36 AD patients. Plasma ADAM-17 and biomarkers of neurodegeneration were determined. The association of plasma ADAM-17 with cognitive functions and biomarkers of neurodegeneration was analyzed. Results Plasma ADAM-17 levels were elevated in AD patients in comparison with NC subjects. Plasma ADAM-17 was positively associated with Clinical Dementia Rating (CDR) scores, but negatively associated with the Mini-Mental State Examination scores and Montreal Cognitive Assessment scores. Plasma ADAM-17 levels were positively associated with the levels of Aβ40, Aβ42, and p-Tau181. Conclusions These findings suggest a link between ADAM-17 and the pathogenesis of AD from a clinical perspective.
Digital screening for cognitive decline in the Spanish language for older adults
Authors: Lelo de Larrea-Mancera E Sebastian , Flores-Medina Yvonne , Seitz Aaron R , Alcalá-Lozano Ruth 
Published: February 2025

Background Recent technological advances in digital assessment of auditory and cognitive function may be used to circumvent the costs associated to screening for cognitive decline in the general population. Pre-clinical cognitive screening could have a transformative impact for preventive care in our increasingly old world population. However, advances in digital assessment need to be adapted for Spanish-speaking populations as innovation occurs mainly in English. Objective This study explores the potential of a novel screening battery for cognitive decline that utilizes digital tests of cognitive and auditory function adapted to the Spanish language. Methods Participants were evaluated on standard clinical scales and questionnaires, and on a digital battery of auditory and cognitive tests with potential clinical value to screen cognitive decline. Results We report the ability to detect minimal cognitive impairment (MCI; 3/10 tests) and dementia (10/10 tests) of each digital test and the full battery. We further show concurrent validity for cognitive screening with the Montreal Cognitive Assessment (MoCA) and describe the shared variance across tests in the battery. Lastly, we show multiple regression models predicted with medium sensitivity (57%) and high specificity (97%) the dementia cases, and with high sensitivity (93%) but low specificity (31%) the MCI cases. Conclusions Overall, this study demonstrates discriminatory value and concurrent validity to screen for cognitive decline in older adults using open-access digital auditory and cognitive tests in the Spanish language. Follow-up studies with larger and more diverse samples will be instrumental in achieving cognitive screening procedures for the general population.
Higher disease activity of inflammatory bowel disease predisposes to Clostridioides difficile infection
Authors: Vitikainen Krista , Kase Merit , Meriranta Leo , Molander Pauliina , af Björkesten Clas-Göran , Anttila Veli-Jukka , Arkkila Perttu 
Published: February 2025

Background: Clostridioides difficile infection (CDI) is a clinical challenge associated with poor outcomes in patients with inflammatory bowel disease (IBD). Objectives: To identify clinical risk factors for CDI and its recurrence among patients with IBD. Design: Case–control cohort study of IBD patients with and without episodes of CDI. Methods: A case–control study of 279 IBD patients with CDI. Medical history and IBD-related symptoms 3 months preceding a toxin-positive CDI were recorded and compared with age- and sex-matched IBD patients without CDI. Outcomes of CDI in IBD patients were recorded 2–6 months after CDI. Results: Based on clinical symptoms and fecal calprotectin levels, IBD is active before CDI. Recently diagnosed IBD seemed to increase the risk for CDI. Corticosteroid usage frequently preceded CDI episodes. Advanced therapies were not associated with CDI. Antibiotic intake was not registered before CDI in 30% of the episodes. Recurrent CDI (rCDI) occurred in 30% (84/279) of IBD-CDI patients and 67% (90/135) of those episodes were registered within 90 days from the preceding episode. Most (79%) rCDI patients had ulcerative colitis (UC). CDI could complicate underlying IBD by increasing the need for escalation in IBD-related medical therapy and leading to hospitalization but it did not seem to increase the risk of colectomy. Conclusion: The major risk factors associated with CDI in IBD patients were IBD activity before infection, UC and colonic Crohn’s disease, short duration of IBD, corticosteroid usage, and hospitalization. Patients with active IBD and a shorter disease duration may benefit from more frequent follow-ups in the early stages, as they appear to be at higher risk of developing CDI.
Incidence rate of and risk factors for glomerulonephritis in patients with axial spondyloarthritis: a nationwide population-based study
Authors: Hwang Subin , Kim Ye-Jee , Ahn Soo Min , Koo Bon San 
Published: February 2025

Background: Although extramusculoskeletal manifestations, such as uveitis and psoriasis, in patients with axial spondyloarthritis (SpA) are well-documented, studies on the occurrence of glomerulonephritis in this population are scarce. Objectives: This study aimed to assess the incidence rate and risk factors for glomerulonephritis in patients with axial SpA using a nationwide population-based cohort in Korea. Design: Nationwide population-based study. Methods: This study included patients diagnosed with axial SpA between 2016 and 2019 from Korea’s National Health Insurance Database. Patients with a diagnosis of preexisting kidney disease prior to their axial SpA diagnosis and those diagnosed with glomerulonephritis within 1 year of their axial SpA diagnosis were excluded. For the remaining patients, the incidence rates of glomerulonephritis and Cox proportional hazard ratios were analyzed. Results: Among the 11,796 patients, 58 had glomerulonephritis, resulting in an incidence rate of 1.82 per 1000 person-years. After adjusting for age and sex, the hazard ratio for patients with a Charlson Comorbidity Index score of ⩾1 was 2.03 (confidence interval (CI), 1.14–3.63; p = 0.017). When adjusting for age, sex, and comorbidities, the hazard ratio for patients with hypertension was 2.37 (CI, 1.20–4.69; p = 0.014). Among the 58 patients, 4 (6.9%) were diagnosed with glomerulonephritis, as confirmed via kidney biopsy. Conclusion: The incidence rate of glomerulonephritis in Korean patients with axial SpA is lower than that in patients with other musculoskeletal manifestations. In addition, the presence of comorbidities, including hypertension, is a significant risk factor for glomerulonephritis in patients with axial SpA. Despite the low occurrence, careful monitoring for glomerulonephritis in patients with axial SpA is essential.
The Relationship Between the Percent Coefficient of Variation of Sensor Glucose Levels and the Risk of Severe Hypoglycemia or Non-Severe Hypoglycemia in Patients With Type 1 Diabetes: Post Hoc Analysis of the ISCHIA Study
Authors: Murata Takashi , Matsuhisa Munehide , Kuroda Akio , Toyoda Masao , Hirota Yushi , Ogura Masahito , Suzuki Shota , Kato Ken , Tone Atsuhito , Matoba Yuka , Meguro Shu , Miura Junnosuke , Nishimura Kunihiro , Shimada Akira , Hosoda Kiminori , Sakane Naoki ,   The ISCHIA Study Group
Published: February 2025

Background: The relationship between the percent coefficient of variation (%CV) and the risk of severe hypoglycemia (SH) or non-severe hypoglycemia (NSH) in patients with type 1 diabetes (T1D) remains to be elucidated. Materials and Methods: The Effect of Intermittent-Scanning Continuous Glucose Monitoring to Glycemic Control Including Hypoglycemia and Quality of Life of Patients with Type 1 Diabetes Mellitus (ISCHIA) study was a crossover, randomized, controlled trial for hypoglycemia prevention in patients with T1D using multiple daily injections (MDIs). Blinded continuous glucose monitoring (CGM) data of 93 patients obtained during the Control period (84 days) were used for the post hoc analysis. The receiver operating characteristics (ROC) curves were analyzed to determine the discrimination thresholds of %CV corresponding to the low blood glucose index (LBGI) > 5 and LBGI ≥ 2.5, and the occurrence of SH. Results: The %CV corresponding to LBGI > 5 and LBGI ≥ 2.5 was 42.2% and 37.0%, respectively. The episodes of SH were observed in three patients, and the %CV corresponding to the occurrence of SH was 40.7%. Conclusions: The identification of the discrimination threshold of %CV associated with the risk of SH or NSH in patients with T1D is needed.
Physical activity among adults with type 2 diabetes mellitus in Jordan: a qualitative study
Authors: Momani Aaliyah , Al-Marzouqi Zalikha , Abu-Shhadeh Amani , Ajlouni Kamel , ALBashtawy Mohammed , Almomani Maysa H. , Jarrah Samiha , AlQahtani Shaikha Ali , Ababneh Anas 
Published: February 2025

Background: Type 2 diabetes mellitus is a growing epidemic condition that is expected to reach pandemic levels in the upcoming decades. Physical activity among individuals with type 2 diabetes is beneficial. A deeper understanding of physical activity among adults with type 2 diabetes in Jordan using a qualitative approach is needed. Aim: This study aimed at exploring physical activity among adults with type 2 diabetes in Jordan. Design: A constructivist grounded theory methodology guided this study. Methods: Data were collected using semi-structured and audio-recorded interviews and then analysed simultaneously using coding, constant comparative analysis and writing reflexive memos. Findings: Two themes emerged including ‘The Perception about Physical Activity’ and ‘Factors Influencing Adherence to Physical Activity’. The first theme included four sub-themes: physical activity definition; importance; duration and types. The second theme included five sub-themes: the belief that diet is superior to physical activity; ageing and presence of diabetes or comorbidities; job and family obligations; social support and weather. Conclusion: This study provided insights into patients’ perceptions and adherence to physical activity including facilitators and barriers. Clinicians and policymakers may consider the findings of this study to develop health promotion programmes and to suggest a suitable environment for individuals with type 2 diabetes to enhance their physical activity.