bluuebunny/crossref_metadata_2025_split huggingface dataset:
Determinants of medication adherence among elderly with high blood pressure living in deprived areas
Authors: Afshari Maryam , Karimi-Shahanjarini Akram , Tapak Lili , Hashemi Somayeh 
Published: June 2024

Introduction The current study was conducted to determine the impact of health literacy and factors related to adherence to drug treatment, using the model proposed by the World Health Organization, in older adults with hypertension residing in informal settlements in Hamadan. Methods This cross-sectional study was conducted on 405 patients in Hamadan city, located in the western part of Iran. Data were collected using an interviewer-administered questionnaire that included the 5-dimensional model proposed by the World Health Organization, Health Literacy for Iranian Adults, and Morisky Medication Adherence Scale-8. A two-stage sampling procedure was used to select patients from 14 comprehensive health service centers and health bases. The data were analyzed using SPSS v.24. Results The study found that medication adherence was suboptimal in 63% of the participants. Additionally, 87.5% of patients had inadequate or insufficient health literacy. Factors related to medication adherence included age (odds ratio (OR) = 1.07), annual income (OR = 0.17), duration of hypertension (OR = 7.33), health literacy (OR = 1.03), self-reported health status (P < 0.05), and regular medication use (P < 0.008). Conclusion The results of this study indicate that more than half of the older adults in the study had suboptimal medication adherence and insufficient health literacy. The study also found that various factors, such as socioeconomic status, disease and treatment-related factors, and patient-related factors, influence medication adherence among older adults.
Rationalizing polyp matching criteria in colon capsule endoscopy: an international expert consensus through RAND (modified DELPHI) process
Authors: Lei Ian Io , Koulaouzidis Anastasios , Baatrup Gunnar , Samaan Mark , Parisi Ioanna , McAlindon Mark , Toth Ervin , Shaukat Aasma , Valentiner Ursula , Dabos Konstantinos John , Fernandez Ignacio , Robertson Alexander , Schelde-Olesen Benedicte , Parsons Nicholas ,   CESCAIL Core Group, Arasaradnam Ramesh P. 
Published: June 2024

Background: Colon capsule endoscopy (CCE) has gained momentum as an alternative modality for the investigation of the lower gastrointestinal tract. Of the few challenges that remain, the comparison and – eventually – matching of polyps at different timestamps leads to the potential for double reporting and can contribute to false-positive findings and inaccuracies. With the impending artificial intelligence integration, the risk of double reporting the same polyp due to the lack of information on spatial orientation underscores the necessity for establishing criteria for polyp matching. Objectives: This RAND/University of California, Los Angeles (modified Delphi) process aims to identify the key factors or components used to match polyps within a CCE video. This involves exploring the attributes of each factor to create comprehensive polyp-matching criteria based on international expert consensus. Design: A systematic qualitative study using surveys. Methods: A panel of 11 international CCE experts convened to assess a survey comprised of 60 statements. Participants anonymously rated statement appropriateness on a 1–9 scale (1–3: inappropriate, 4–6: uncertain and 7–9: appropriate). Following a virtual group discussion of the Round 1 results, a Round 2 survey was developed and completed before the final analysis. Results: The factors that were agreed to be essential for polyp matching include (1) timestamp, (2) polyp localization, (3) polyp vascular pattern, (4) polyp size, (5) time interval of the polyp appearance between the green and yellow camera, (6) surrounding tissue, (7) polyp morphology and (8) polyp surface and contour. When five or more factors are satisfied, it was agreed that the comparing polyps are likely the same polyp. Conclusion: This study has established the first complete criteria for polyp matching in CCE. While it might not provide a definitive solution for matching difficult, small and common polyps, these criteria serve as a framework to guide and facilitate the process of polyp-matching.
French multi-institutional cost-effectiveness analysis of gemcitabine plus nab-paclitaxel versus gemcitabine alone as second-line treatment in metastatic pancreatic cancer patients
Authors: Demaziere Amaury , Mourgues Charline , Lambert Céline , Trevis Sophie , Bertucat Hélène , Grange Isabelle , Pezet Denis , Sautou Valérie , Jary Marine , Gagnière Johan 
Published: June 2024

Context: In France, gemcitabine plus nab-paclitaxel (GEM-NAB) is heterogeneously used in metastatic pancreatic cancer due to disparities in its financial accessibility in the institutions. Objectives: GEM-NAB conduct a French multi-institutional cost-effectiveness analysis of GEM-NAB versus gemcitabine alone (GEM) as second-line treatment in pancreatic cancer patients. Design: All the unresected metastatic pancreatic ductal adenocarcinoma (PDAC) consecutive patients who received GEM-NAB (institution 1) or GEM alone (institutions 2 and 3) as second-line treatment after failure of a 5-fluorouracil based systemic chemotherapy regimen were screened. Methods: This study was conducted from the French national healthcare insurance perspective. The primary endpoint was the overall survival (OS) expressed in months, calculated from the date of the first second-line chemotherapy administration to death. Only direct (medical and non-medical) costs have been considered for this analysis. Data were collected retrospectively in one university hospital and two general hospitals. Results: The OS was significantly improved in patients receiving GEM-NAB (hazard ratio: 0.54, 95% confidence interval: 0.38–0.77, p = 0.001), with a median OS of 6.2 months ( versus 4.1 months in patients receiving GEM alone). Taking into account the cost of GEM-NAB which was afforded by each institution, the incremental cost-effectiveness ratio was €1,449,231 by year of life (€40,256 per patient). In both groups, most of the costs were attributable to readmissions and outpatient chemotherapy administration. Conclusion: The issues of the article is based on the trade-off between the benefit in terms of OS of patients treated with GEM-NAB, which is minor (a gain of 2 months of survival, with an accumulated rate of grade ⩾ 3 non-hematological adverse effects) and the additional institutional cost (€25k per year of life for each patient treated). The debate is complex and refers to an ethical component, which is the cost of human life when no other therapeutic alternative is offered to the patient.
Association between institutionalization by 4 months post-discharge walking capacity and lean body mass in elderly hip fracture patients: Evidence from a Swedish Registry Based Study
Authors: Hallberg Sara , Söreskog Emma , Borgström Fredrik , Cederholm Tommy , Hedström Margareta 
Published: June 2024

Background and purpose: Losing independence is a main concern for hip fracture patients, and particularly not being able to return home. Given the large impact on quality of life by loss of independence and the high risk for institutionalization after hip fracture, it is of importance to identify modifiable risk factors for such negative outcomes. This study aimed to investigate the association between two such factors, that is, lean body mass and 4 months post-discharge walking capacity, and the risk of institutionalization in previously independent living older people who suffer a hip fracture. Patients and methods: A retrospective cohort study was conducted using Swedish national-based population registers. Patients ⩾60 years with a hip fracture during 2008–2017 were included from the Swedish National Registry for Hip Fractures. Risk of institutionalization over the 1-year period following a hip fracture was analyzed using logistic regression analyses adjusted for potential predictors and characteristics. Results: In total, 11,265 patients were included. Over the first year, 8% (95% CI: 8–9) of the patients with a hip fracture had lost independence, increasing to 15% (95% CI: 14–16) after 5 years. Poor recovery of post-discharge walking ability was associated with a higher odds ratio of losing independence compared with good recovery (OR 12.0; 95% CI: 7.8–18.4; p < 0.001). Having higher estimated lean body mass than 45 kg at index was associated with lower odds of losing independence. Conclusion: Maintaining lean body mass and mobility after a hip fracture is likely important from an individual as well as public health perspective.
Assessment of left ventricular ejection fraction in artificial intelligence based on left ventricular opacification
Authors: Zhu Ye , Zhang Zisang , Ma Junqiang , Zhang Yiwei , Zhu Shuangshuang , Liu Manwei , Zhang Ziming , Wu Chun , Xu Chunyan , Wu Anjun , Sun Chenchen , Yang Xin , Wang Yonghuai , Ma Chunyan , Cheng Jun , Ni Dong , Wang Jing , Xie Mingxing , Xue Wufeng , Zhang Li 
Published: June 2024

Background Left ventricular opacification (LVO) improves the accuracy of left ventricular ejection fraction (LVEF) by enhancing the visualization of the endocardium. Manual delineation of the endocardium by sonographers has observer variability. Artificial intelligence (AI) has the potential to improve the reproducibility of LVO to assess LVEF. Objectives The aim was to develop an AI model and evaluate the feasibility and reproducibility of LVO in the assessment of LVEF. Methods This retrospective study included 1305 echocardiography of 797 patients who had LVO at the Department of Ultrasound Medicine, Union Hospital, Huazhong University of Science and Technology from 2013 to 2021. The AI model was developed by 5-fold cross validation. The validation datasets included 50 patients prospectively collected in our center and 42 patients retrospectively collected in the external institution. To evaluate the differences between LV function determined by AI and sonographers, the median absolute error (MAE), spearman correlation coefficient, and intraclass correlation coefficient (ICC) were calculated. Results In LVO, the MAE of LVEF between AI and manual measurements was 2.6% in the development cohort, 2.5% in the internal validation cohort, and 2.7% in the external validation cohort. Compared with two-dimensional echocardiography (2DE), the left ventricular (LV) volumes and LVEF of LVO measured by AI correlated significantly with manual measurements. AI model provided excellent reliability for the LV parameters of LVO (ICC > 0.95). Conclusions AI-assisted LVO enables more accurate identification of the LV endocardium and reduces observer variability, providing a more reliable way for assessing LV function.
Use of voice features from smartphones for monitoring depressive disorders: Scoping review
Authors: Shin Jaeeun , Bae Sung Man 
Published: June 2024

Object This review evaluates the use of smartphone-based voice data for predicting and monitoring depression. Methods A scoping review was conducted, examining 14 studies from Medline, Scopus, and Web of Science (2010–2023) on voice data collection methods and the use of voice features for minitoring depression. Results Voice data, especially prosodic features like fundamental frequency and pitch, show promise for predicting depression, though their sole predictive power requires further validation. Integrating voice with multimodal sensor data has been shown to improve accuracy significantly. Conclusion Smartphone-based voice monitoring offers a promising, noninvasive, and cost-effective approach to depression management. The integration of machine learning with sensor data could significantly enhance mental health monitoring, necessitating further research and longitudinal studies for validation.
Addressing Gaps in Access to LGBTQIA + Health Education Resources: A Novel E-Learning Platform
Authors: Srinivasan Sanjana , Goldhammer Hilary , Charlton Brittany M. , McKenney Tess , Keuroghlian Alex S. 
Published: June 2024

OBJECTIVES To reduce health inequities for lesbian, gay, bisexual, transgender, queer, intersex, asexual, and all sexually and gender diverse (LGBTQIA+) people, healthcare professionals need increased access to education and training resources on LGBTQIA + health. Web-based, asynchronous, electronic learning (e-learning) resources are critical for expanding the availability of LGBTQIA + health programs. This article presents the design and utilization outcomes of a novel e-learning platform for engaging healthcare professionals in LGBTQIA + health online continuing education. METHODS As of December 2022, the e-learning platform consisted of 293 resources within 17 topic domains. Modalities included: learning modules, recorded webinars, publications, videos, and toolkits. We conducted a descriptive analysis of the e-learning platform's website traffic and user engagement data. Google Universal Analytics and event tracking were used to measure website traffic, user locations, and publication downloads. Learning module and webinar completions were exported from the learning management system and run as frequencies. RESULTS Between January 1, 2020, and December 31, 2022, over 650,000 people from all U.S. states, 182 countries, and 31 territories visited the website. Platform users downloaded publications 66,225 times, and completed 29,351 learning modules and 24,654 webinars. CONCLUSION The broad reach and high user engagement of the e-learning platform indicate acceptability of web-based, asynchronous online continuing education in LGBTQIA + health, and suggest that this platform is filling a need in health professional education. Remote, online learning opportunities may be especially important in jurisdictions with bans on medical care for transgender and gender diverse youth. Future growth of the platform, paired with in-person and other online learning opportunities, has the potential to reduce gaps in LGBTQIA + health training, and mitigate LGBTQIA + health inequities.
Tibial Tubercle Anteromedialization Using the Multi-Directional Tibial Tubercle Transfer System
Authors: Bartsch Anna , Atzmon Ran , Pierre Kinsley , Vel Monica S. , Sherman Seth L. 
Published: June 2024

Background: Tibial tubercle osteotomy (TTO) can realign the patellofemoral joint and reduce patellofemoral contact stress. Anteriorization can reduce compressive patellofemoral loads and medialization shifts the pulling direction on the patella, thereby lowering the load on the lateral compartments. Indications: Patellofemoral instability, patellofemoral malalignment, and distal and lateral chondral defects. Technique Description: The Multi-Directional Tibial Tubercle Transfer System (MD3T) uses a generic 3-dimensional cutting template to create 2 compound wedges that are individually transposed and adjusted to achieve multiplanar correction. For isolated tibial tubercle anteriorization, the primary wedge is solely used and the proximal bone defect is filled with autograft taken from the distal part of the wedge and synthetic bone graft substitution. For tibial tubercle medialization, the primary and secondary wedges are transposed, filling each other's respective spaces. Through the transposition of the primary and secondary wedges, partial filling of the defect with the patient's own bone is achieved, reducing the bone defect. For combined anteromedialization, both of these techniques are merged. Results: During walking fatigue test and chair rising test in a cadaveric simulated 42-day healing period, no loosening or cracking occurred. Clinical study results on this technique are pending. Conclusion: The MD3T system achieves with its wedge technique a precise and reproducible multiplanar correction in TTO. Patient Consent Disclosure Statement: The author(s) attests that consent has been obtained from any patient(s) appearing in this publication. If the individual may be identifiable, the author(s) has included a statement of release or other written form of approval from the patient(s) with this submission for publication.
Could cough hypersensitivity symptom profile differentiate phenotypes of chronic cough?
Authors: Kim Mi-Yeong , Won Ha-Kyeong , Oh Ji-Yoon , Lee Ji-Hyang , Jo Eun-Jung , Kang Sung-Yoon , Lee Ji-Ho , Lee Seung-Eun , Kang Noeul , Kim Young-Chan , Lee Hwa Young , An Jin , Yoo Youngsang , Shim Ji-Su , Park So-Young , Park Han-Ki , Kim Min-Hye , Kim Sae-Hoon , Kim Sang-Heon , Chang Yoon-Seok , Kim Sang-Hoon , Lee Byung-Jae , Birring Surinder S. , Song Woo-Jung 
Published: June 2024

BackgroundRecently, cough reflex hypersensitivity has been proposed as a common underlying feature of chronic cough in adults. However, symptoms and clinical characteristics of cough hypersensitivity have not been studied amongst phenotypes of chronic cough. This study aimed to compare symptom features, such as cough triggers and associated throat sensations, of cough hypersensitivity in patients with asthmatic chronic cough and those with refractory chronic cough (RCC).MethodsPatients with chronic cough from the Korean Chronic Cough Registry were prospectively evaluated over 6 months. Physicians determined the aetiological diagnosis based on clinical evaluations and responses to treatment at the 6-month follow-up visit. Symptoms of cough hypersensitivity and cough-specific quality of life were assessed using the Cough Hypersensitivity Questionnaire (CHQ) and the Leicester Cough Questionnaire (LCQ), respectively.ResultsThe analysis included 280 patients who completed the follow-up: 79 with asthmatic cough (cough variant asthma or eosinophilic bronchitis) and 201 with RCC. Baseline CHQ scores were similar between the groups (8.3±3.7 in asthmatic coughversus8.9±3.9 in RCC; p=0.215, adjusted for age, sex and LCQ score). There were no significant between-group differences in the LCQ and cough severity Visual Analog Scale scores. Both groups showed a similar negative correlation with LCQ scores (asthmatic cough: r=−0.427, p<0.001; RCC: r=−0.306, p<0.001).ConclusionsThe symptoms of cough hypersensitivity may not distinguish between asthmatic cough and RCC. This suggests that chronic cough is the primary diagnosis in both phenotypes. It indicates a shared mechanism in their cough pathogenesis, despite having potentially different treatable traits.
Direct profiling of breast cancer-derived extracellular vesicles using Pd-perovskite electrochemical biosensing platform
Authors: Dezhakam Ehsan , Khalilzadeh Balal , Naseri Abdolhossein , Rahbarghazi Reza , Mahmoudi Elham , Niaei Aligholi , Mahdipour Mahdi , Mardi Narges , Isildak Ibrahim 
Published: June 2024

AbstractExtracellular vesicles (EVs) harbor several signaling molecules to maintain intercellular communication. Based on the exosomal cargo type, metabolic, genomic, and proteomic status of parent cells can be investigated. Due to the existence of trivial levels of target molecules inside EVs, the application of accurate and sensitive detection methods is mandatory. Here, we used an electrochemical immunosensor using a biotinylated monoclonal CD63 antibody as the capturing element for the detection of EVs isolated from MDA-MB-231 cells and cancer patients. Simultaneously, breast cancer biomarker CA-15-3 was detected in isolated EVs using a sandwich method to increase specificity. Data indicated a linear dynamic range of 2000–10000 EVs/µL and a lower limit of quantification of 2000 EVs/µL. Based on data from real sample analysis, the levels of exosomal CA-15-3 can differ according to the severity and systemic content of this factor. Pd-perovskite-based immunosensor provides a platform for quick and in-depth analysis of EVs isolated for cancer cells.
PyMulSim: a method for computing node similarities between multilayer networks via graph isomorphism networks
Authors: Cinaglia Pietro 
Published: June 2024

AbstractBackgroundIn bioinformatics, interactions are modelled as networks, based on graph models. Generally, these support a single-layer structure which incorporates a specific entity (i.e., node) and only one type of link (i.e., edge). However, real-world biological systems consisting of biological objects belonging to heterogeneous entities, and these operate and influence each other in multiple contexts, simultaneously. Usually, node similarities are investigated to assess the relatedness between biological objects in a network of interest, and node embeddings are widely used for studying novel interaction from a topological point of view. About that, the state-of-the-art presents several methods for evaluating the node similarity inside a given network, but methodologies able to evaluate similarities between pairs of nodes belonging to different networks are missing. The latter are crucial for studies that relate different biological networks, e.g., for Network Alignment or to evaluate the possible evolution of the interactions of a little-known network on the basis of a well-known one. Existing methods are ineffective in evaluating nodes outside their structure, even more so in the context of multilayer networks, in which the topic still exploits approaches adapted from static networks. In this paper, we presentedpyMulSim, a novel method for computing the pairwise similarities between nodes belonging to different multilayer networks. It uses a Graph Isomorphism Network (GIN) for the representative learning of node features, that uses for processing the embeddings and computing the similarities between the pairs of nodes of different multilayer networks.ResultsOur experimentation investigated the performance of our method. Results show that our method effectively evaluates the similarities between the biological objects of a source multilayer network to a target one, based on the analysis of the node embeddings. Results have been also assessed for different noise levels, also through statistical significance analyses properly performed for this purpose.ConclusionsPyMulSimis a novel method for computing the pairwise similarities between nodes belonging to different multilayer networks, by using a GIN for learning node embeddings. It has been evaluated both in terms of performance and validity, reporting a high degree of reliability.