bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cardiovascular Monitoring of Cancer Patients Undergoing Immune Checkpoint Inhibitor Therapy: Preliminary Results from a Prospective Observational Study
Authors: Kushnareva E.A. , Gavriluk N.D. , Shuginova T.N. , Simakova M.A. , Urumova E.L. , Karelkina E.V. , Pankova I.A. , Malikov K.N. , Moiseenko F.V. , Moiseeva O.M. , Shlyakhto E.V. 
Published: October 2023

Abstract

Background: the whole spectrum of Immune Checkpoint Inhibitors (ICI) associated cardiovascular immune related adverse events is not fully understood. Only last years it became clear that ICI may cause not only inflammatory cardiovascular diseases. And recent prospective studies have shown subclinical left ventricular disfunction progression in patients treated with ICI but results are bit discordant. Also, specific risk factors of ICI related cardiovascular adverse events didn’t clear yet.
Methods: single canter prospective observational study enrolled sixty patients with cancer and indications for ICI. All patients underwent cardiovascular examination before antitumor therapy (n=60), as well as at 3 months (n=34) and 9 months (n=15) following its initiation. The standard examination protocol included evaluation of laboratory parameters, echocardiographic assessment (incl. left ventricular deformation characteristics), Holter monitoring, carotid ultrasound.
Results: no statistically significant changes were observed in serum creatinine, C-reactive protein, troponin I, NT-proBNP, and thyroid-stimulating hormone. At the 3-month follow-up, left ventricular (LV) end-systolic volume (ESV) increased from 38±12 ml to 41±11 ml (p=0.026), while LV ejection fraction (EF) decreased from 64% [61;66] to 62% [58;66] (p=0.043). After 9 months patients displayed a continued increase in LV ESV from 35±10 ml to 40±9 ml (p=0.044) and a decrease in LV EF from 64±4% to 60±6% (p=0.012). Additionally, there were observed increases in the diameter of the aortic sinuses of Valsalva (p=0.012), ascending aorta (p=0.046), left atrium (p=0.013), and right ventricle (p=0.011). There was a notable increase in the proportion of patients with atherosclerotic lesions in the carotid arteries, rising from 44% to 60% over the 3-month period (p=0.046). Throughout the follow-up period, novel cardiovascular events occurred in 23.3% of patients (n=14) and included asymptomatic decrease in LV EF and GLS, meeting the established criteria for cardiotoxicity. According to univariate Cox regression analysis, several independent predictors of new CVEs were identified included creatinine, left ventricular Tei index, initial NT-proBNP exceeding 500 pg/ml, TSH concentration, and treatment with anti-PD-L1 immune checkpoint inhibitor.
Conclusion: we reveled the high incidence of novel cardiovascular events, presence of subclinical changes of echocardiography parameters, atherosclerosis progression. Also, we defined predictors of ICI related cardiovascular adverse events.
Arthroscopic Outerbridge-Kashiwagi Procedure with Endoscopic Cubital Tunnel Release: Comparison with Arthroscopic Osteocapsular Arthroplasty with Open Cubital Tunnel Release
Authors: Seo Joongbae , Jung Jaewook , Yoo Jaesung 
Published: October 2023

Abstract

Objective
The purpose of this study was to compare and analyze the clinical outcomes of arthroscopic osteocapsular arthroplasty with open cubital tunnel release and arthroscopic OK procedure with endoscopic cubital tunnel release.
Methods
The study conducted a retrospective comparative analysis of 52 cases who underwent arthroscopic elbow surgery due to elbow joint osteoarthritis. The patients were followed up for more than 1 year for observation and comparison of outcomes. Among them, the initial 35 cases underwent arthroscopic osteocapsular arthroplasty with open cubital tunnel release, while the subsequent 17 cases underwent the arthroscopic OK procedure with endoscopic cubital tunnel release. Mayo Elbow Performance Score (MEPS), Visual Analog Scale (VAS) pain scores, and range of motion (ROM). Complications such as transient nerve injury, heterotopic ossification, infection, and recurrence of stiffness were also confirmed.
Results
There was a statistically significant difference in the mean surgical time between the osteocapsular arthroplasty group (101.3 ± 34.2 min) and the arthroscopic OK procedure group (75.6 ± 27.9 min, p < 0.0001). However, there was no statistically significant difference between the two groups in these outcome measures. After surgery, there was no statistically significant difference between the two groups in terms of complications, including transient nerve injury, heterotopic ossification, infection, and recurrence of stiffness.
Conclusion
The Arthroscopic OK procedure with endoscopic cubital tunnel release were able to reduce surgical time when compared to Arthroscopic osteocapsular arthroplasty with open cubital tunnel release.
Reproductive factors and risk of cardiovascular diseases and all-cause and cardiovascular mortality in American women: NHANES 2003-2018
Authors: Yan Yufeng , Lu Hongjing , Lin Song , Zheng Yaguo 
Published: October 2023

Abstract
Background
The evidence regarding the association of reproductive factors with cardiovascular diseases (CVDs) is limited.
Aims
To investigate the relationship of reproductive factors with the risk of CVDs, as well as all-cause and cardiovascular mortality.
Methods
This study included 16404 adults with reproductive factors from the National Health and Nutrition Examination Survey (NHANES) and followed up until 31 December 2019. Logistic models and restricted cubic spline models were used to assess the association of reproductive factors with CVDs. COX proportional hazards models and restricted cubic spline models, with adjustment for potential confounding, were employed to analyze the relation between reproductive factors and cardiovascular and all-cause death.
Results
There is a nonlinear relationship between age at menarche and CVDs. Age at menopause ≤ 11(OR 1.36, 95% CI 1.10–1.69) was associated with an increased risk of CVDs compared to ages 12–13 years. Age at Menopause ≤ 44 (OR 1.69, 95% CI 1.40–2.03) was associated with increased CVDs compared to age 35–49 years. Number of pregnancies ≥ 5(OR 1.26, 95% CI 1.02–1.55) was associated with an increased risk of CVDs compared to one pregnancy. In continuous variable COX regression models, a later age at menopause (HR 0.98, 95% CI 0.97–0.99) and a longer reproductive lifespan (HR 0.98, 95% CI 0.97–0.99) were associated with a decreased risk of all-cause death. A later age at menopause (HR 0.98, 95% CI 0.97–0.99) and a longer reproductive lifespan (HR 0.98, 95% CI 0.97–0.99) were associated with a decreased risk of cardiac death.
Conclusions
Female reproductive factors are significant risk factors for CVDs.
Construction and empirical analysis of nursing discipline system based on matrix management in Nanjing, China
Authors: tang heshu , zhu chunqin , zhou ping , cheng qiong , wang yan , gao juanjuan , fan wenwen 
Published: October 2023

Abstract
Objective
explore the classification management method of nursing disciplines, realize more accurate and reasonable positioning of each discipline, improve the level of refined management in hospitals of Nanjing, China, and achieve the best effect of discipline development combination.
Methods
In-depth analysis of the ideas and methodology of matrix design, combined with national medical policy, hospital development vision, and other subjective and objective factors that affect the development of nursing disciplines, combined analysis, to formulate a personalized nursing discipline system.
Results
Through the matrix management analysis, the discipline types of 19 disciplines were positioned, and on the basis of the analysis results, targeted adjustments were made in combination with the actual situation, and the development strategy of the nursing discipline system was determined and empirical research was carried out .
Conclusion
based on the matrix management model can provide a scientific and reasonable evaluation of hospital discipline construction work for hospital nursing managers and discipline leaders, and provide an effective basis and methods for scientific decision-making.
The safety of driving among patients with end stage renal disease on hemodialysis
Authors: AlHejaili Fayez , Hashmi Muhammad N. , Alsuwaida Abdulkareem , Ankawi Ghada A. , Alsuwaida Anas A. , AlZahrani Mohammed T. , Shehadah Ali E. , Riyadh Al-Sehli 
Published: October 2023

Abstract
Background:
Human error is the main cause of car accidents and whether cognitive impairments related to dialysis session and/or comorbid medical conditions increase the risk of car accidents is still unclarified. Our objective is to explore patients’ perceptions on driving and car accidents among dialysis patients.
Methods:
A cross sectional questionnaire survey done in eight dialysis units in Saudi Arabia. All adults’ patients on in-center hemodialysis for more than three months were included in the study.
Results:
Data were collected from 771 adults (45.1% women) enrolled in the study. Among participants, 56.0% were diabetic, 87.7% with hypertension and 25.3% with coronary artery disease. Ninety-nine patients (30.46%) stopped driving spontaneously, of whom 43.0% reported “lack of attention” as the cause. Among participants who continued to drive, 137 sustained a road traffic accident. The majority of patients complained of post-dialysis fatigue (n = 378, 54.6%), which was associated with a higher risk of car accidents. Self-reported hypoglycaemia and tight glycemic control were associated with more car accidents.
Conclusion:
Most of the participants stopped driving after starting dialysis or felt that continuing driving was unsafe. Those who continued to drive were at a higher risk of road traffic accidents. Health care providers and institutions need to engage in patient transportation to be part of holistic care delivery.
Research Manuscript "Exploring the Impact of Pregnancy on Cognitive Function: A Comparative Study in a Low-Income Setting"
Authors: Ali Aman , Hissan Laiba , Raza Ghana , Zafar Duaa , Mohammad Sabeeh , Muhammad Sualeh , Ali Syed Kauser 
Published: October 2023

Abstract
Background: Cognitive dysfunction is a significant contributor to mental health complexities during pregnancy, potentially leading to heightened rates of pregnancy-related mortality and inadequate prenatal care. However, limited research has been conducted to explore the relationship between pregnancy and cognitive decline, especially in low-income settings such as Pakistan. The purpose of this study therefore was to establish a clear link between cognitive function and pregnancy.
Methods: A cross-sectional comparative study was conducted at a tertiary care hospital in Karachi, Pakistan with a sample size of 160 participants, divided into two groups of 77 pregnant and 83 nonpregnant women between the age bracket of 25-35 years. First, the participants were interviewed to collect demographic information and pregnancy status. Then, the Montreal Cognitive Assessment (MoCA) scale, which evaluates cognitive function across multiple domains, including visuospatial/executive function, naming, attention, language, abstraction, delayed recall, orientation, and memory was used on each group separately. The analysis focused on investigating the relationship between cognitive function and pregnancy, considering the influence of low-income status and gestational age. The statistical analyses included Spearman Rho (for non-normal data), t-tests, and linear regression models. T-tests were used to compare the means of MoCA scores between different groups and to analyze the effect of pregnancy status on the specific domains of MoCA. Multiple linear regression models were employed to examine the relationships between MoCA scores and various predictors, such as pregnancy status, education level, gestational age, and active complaints.
Results: The study found a significant difference in MoCA scores between pregnant and nonpregnant women (B=-1.55, t=-2.37, p=0.019), indicating a decline in cognitive function during pregnancy. Education level (B=2.34, t=8.38, p=0.000) and gestational age (B=-1.61, t=-2.51, p=0.014) were identified as significant factors influencing cognitive function. Higher education was associated with better cognitive function while increasing gestational age correlated with a decline in cognitive function. Active complaints (B=-1.86, t=-2.25, p=0.028) during pregnancy were also linked to lower MoCA scores.
Conclusion: Our preliminary analyses suggest that there is notable cognitive impairment associated with pregnancy. More attention and research in this aspect can contribute to better prenatal care and promote the well-being of pregnant women.
Extrusion Process to Improve the Availability of Fermentable Sugars in Sorghum Wort
Authors: PAMIES Laura Cecilia GÓMEZ , BIANCHI María Agostina , ROVALETTI María Mercedes LATAZA , BENÍTEZ Elisa Inés 
Published: October 2023

Abstract
In the production of beer suitable for celiac people from red sorghum, a very common problem is the deficient gelatinization performance of the sorghum starch. This characteristic may be mainly attributed to the high proportion of resistant starch and the natural inhibitors of starch digestibility that are present in sorghum grain in particular. In this work, the addition of an extrusion process was proposed in order to improve gelatinization. For this purpose, two experimental designs were carried out, with and without extrusion, and as a variable, the utilization of two exogenous enzymes during mashing: papain and α-amylase. Through the extrusion process and the utilization of 3% α-amylase and 1.5% papain, a better-quality wort was obtained with the concentration of fermentable sugars required by the yeasts. Thus, an improvement in the red sorghum starch gelatinization was achieved. This development was also verified by Scanning Electron Microscopy (SEM) images and Energy Dispersive X-Ray Spectroscopy (EDS).
Secretory Hemagglutinin Ectodomains Trimerized by Interprotomer Disulfide Bonds Provide Strong Cross-protection Against Influenza A and B Viruses
Authors: Deng Lei , Liu Dejian , Zhong Xiu-Qin , Zhao Shi-Long , Zhang Yi-Shuai , Liu Cuicui , Tang Yibo , Wu Xuan , Zhang Huihui , She Jia-Yue , Wan Muyang , Zheng Heping 
Published: October 2023

Abstract
The stable secretory expression of HA ectodomain would in principle enhance the yield of influenza vaccine. However, without the transmembrane domain, the folded conformation of the ectodomain polypeptide would most likely deviate from its native form, which poses a risk of antigenicity impairment. Here we comprehensively describe all putative patterns of interprotomer disulfide bridges in HA using computer simulation, among which some pairs of cysteine insets forcefully drive the formation of homotrimers with strong antigenicity to a panel of anti-stem cross-reactive antibodies. Negative-stain 2-D class averaging showed the vast majority of the NC99#2 H1 molecules as homogeneous trimers, while the unmodified H1 protomers were irregularly aggregated. Immunizations of mice with the stabilized HA improved cross-protection by the robust elicitation of serum cross-neutralization instead of hemagglutination inhibition activities. Our study bears significant practical implications for developing secretory HA-based influenza vaccines.
Targeting Prohibitin 2-Hsp70A1A complex during Plasmodium falciparum invasion of erythrocytes as a novel approach towards vaccine candidacy
Authors: Singh Shailja , Marothia Manisha , Behl Ankita , Maurya Preeti , Saini Monika , Garg Swati , Kumari Geeta , Biswas Shreeja , Shoaib Rumaisha , Munjal Akshay , Anand Sakshi , Kahlon Amandeep , Upadhyay Prince , Gupta Pragya , Biswas Saurav , Goswami Bidhan , Bhowmick Ipshita , Pati Soumya , Shevtsov Maxim , Ramalingam Sivaprakash , Ranganathan Anand 
Published: October 2023

Abstract
Malaria parasite invade human erythrocytes in the merozoite stage that contribute towards the development of disease pathology. Invasion is mediated by multiple interactions between merozoite ligands and erythrocyte receptors. Here, we report a novel interaction of Plasmodium prohibitin ‘PfPHB2’ with human Hsp70A1A that plays a crucial role in mediating host-parasite interaction during merozoite invasion to RBCs. Using siRNA and glmS mediated approach, we show that loss of Hsp70A1A or PfPHB2 function blocks parasite growth owing to the inability of merozoites to invade erythrocytes. Antibodies targeting PfPHB2 or Hsp70A1A efficiently block parasite invasion in vitro that reiterate that PfPHB2 - Hsp70A1A complex facilitates merozoite invasion to new erythrocytes. Inhibition of recombinant PfPHB2 binding to RBCs in the presence of anti-PfPHB2/anti-Hsp70A1A antibodies, and patient sera from malaria infected individuals provide additional evidence for PfPHB2 participation in host–parasite interactions. Interestingly, PfPHB2 was found to generate a strong humoral response in malaria patients that illustrate the immunogenicity of this surface protein and its importance as vaccine candidate. Based on our results, we propose a novel attribute of Plasmodium PHB2 and anti-Hsp70A1A monoclonal antibody that can be combinedly used to design future approaches targeting PfPHB2-Hsp70A1A interaction in the parasite.
Predicting Future Global Temperature and Greenhouse Gas Emissions via LSTM Model
Authors: Hamdan Ahmad , Al-Salaymeh Ahmed , AlHamad Issah M. , Ikemba Samuel , Ewim Daniel Raphael Ejike 
Published: October 2023

Abstract
This work is executed to predict the variation in global temperature and greenhouse gas (GHG) emissions resulting from climate change and global warming, taking into consideration the natural climate cycle. A mathematical model was developed using a Recurrent Neural Network (RNN) with Long Short-Term Memory (LSTM) model. Datasets of global temperature were collected from 800,000 BC to 1950 AD from the National Oceanic and Atmospheric Administration (NOAA). Furthermore, another dataset was obtained from The National Aeronautics and Space Administration (NASA) climate website. This contained records from 1880 to 2019 of global temperature and carbon dioxide levels. The numerical analysis and forecasting via the LSTM model revealed that the global temperature shows a trend of a sharp increase, reaching a temperature rise of 4.8°C by 2100. Moreover, carbon dioxide concentrations will continue to boom, attaining a value of 713 ppm in 2100. Also, the findings indicated that the RNN algorithm (LSTM model) provided higher accuracy and reliable forecasting results as the prediction outputs were closer to the international climate models and were found to be in good agreement.
Targeting G4 motifs of various stem cell makers with designed peptide for therapeutic applications
Authors: Kaur Sarvpreet , Kundu Nikita , Sharma Taniya , Shankaraswamy Jadala , Saxena Sarika 
Published: October 2023

Abstract

Noncanonical secondary structures formed by Guanine-rich DNA sequences fold into four-stranded structures called the G-quadruplexes (G4s). Targeting G-quadruplexes is considered an attractive approach toward drug intervention. Recently, we have identified and published G4 forming motifs in regulatory regions of different cancer stem cell markers (CD13, CD19, CD24 and CD38). Hence, in this study, a set of biophysical and biochemical techniques like Circular Dichroism (CD), UV-Thermal denaturation (UV-Tm) and polyacrylamide gel electrophoresis (PAGE) were used to study the targeting of G4s of stem cell markers with designed short peptide (named as QW10). Our CD studies showed that G4 sequences of stem cell markers formed mixed G-quadruplexes in 100 mM Na+, 100mM K+ and 100 mM K+ + 40wt% PEG 200. On titrating these structures with an increasing concentration of QW10 peptide, we observed a significant decrease in CD intensity followed by the complete disappearance of G4 CD signatures confirming their destabilization not only in dilute conditions but also under cell-mimicking molecular crowding conditions. Our results for the UV-thermal melting showed a significant decrease in the Tm values which confirmed the significant destabilization of G4 structures into dimeric structures stabilized by stacking energies probably due to the intercalation of tryptophan present in QW10 peptide. Our electrophoretic mobility shift assay confirmed the destabilization of G4 structures. Fluorescence results showed the formation of high-affinity G4 complex-peptide complex with binding affinities in the micromolar (µM) range of 2µM to 8µM in different ionic conditions. First time, this study may give insight into the use of peptides as leads for the development of more potent and selective ligands to regulate the potential therapeutic applications of cancer stem cell markers.
The RODI mHealth app Insight: Machine Learning-Driven Identification of Digital Indicators for Neurodegenerative Disorder Detection
Authors: Giannopoulou Panagiota , Vrahatis Aristidis , Papalaskari Mary-Angela , Vlamos and Panagiotis 
Published: October 2023

Abstract
Neurocognitive Disorders (NCDs) pose a significant global health concern, and early detection is crucial for optimizing therapeutic outcomes. In parallel, mobile health apps (mHealth apps) have emerged as a promising avenue for assisting individuals with cognitive deficits. Under this perspective, we pioneered the development of the RODI mHealth app, a unique method for detecting aligned with the criteria for NCDs using a series of brief tasks. We utilized the RODI app in a comprehensive study involving 182 individuals with NCD and healthy participants. The results were then processed through machine learning processes to identify underlying NCD patterns. We prioritize the tasks within RODI based on their alignment with the criteria for NCD's, thus acting as key digital indicators for the disorder. We achieve this by employing an ensemble strategy that leverages the feature importance mechanism from three contemporary classification algorithms. Our analysis revealed that tasks related to visual working memory were the most significant in distinguishing between healthy individuals and those with NCD. On the other hand, processes involving mental calculations, executive working memory, and recall were less influential in the detection process. Our study serves as a blueprint for future mHealth apps offering a guide for enhancing the detection of digital indicators for disorders and related conditions.