bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prevalence of vitamin D deficiency in patients with autoimmune rheumatic diseases visiting the rheumatology clinic at the National Referral Hospital, Bhutan
Authors: Dorji Sangay , Yangchen Sonam , chuki Pem 
Published: January 2024

Objective: Vitamin D deficiency in a patient with autoimmune rheumatic disease is the most discussed topic these days, is considered to be a pandemic, and its prevalence and associations have been studied by many countries. We aim to study the prevalence of vitamin D deficiency in autoimmune rheumatic diseases in patients visiting the rheumatology clinic at the Jigme Dorji Wangchuck National Referral Hospital in Thimphu. Methods: A descriptive study was conducted on 126 patients in Jigme Dorji Wangchuck National Referral Hospital, who were visiting the rheumatology clinic. Vitamin D levels were analysed among these rheumatology patients. EpiData software is used for data entry and analysis. Results: Out of 126 patients, 71 had rheumatoid arthritis, 34 had systemic erythema-tosus, 8 mixed connective tissue disease and 13 had other autoimmune rheumatic diseases. Among these, only 12 (9.52%) patients had normal vitamin D levels, and 114 (90.5%) patients had lower than normal serum levels of the vitamin. Among these, 75 (59.5%) were deficient and 39 (31.0%) were insufficient. Conclusion: The study found that the prevalence of Vitamin D deficiency is high with 59.5% among patients with autoimmune rheumatic diseases and only with 9.5% were with normal levels of vitamin D.
Development of blood demand prediction model using artificial intelligence based on national public big data
Authors: Kwon Hi Jeong , Park Sholhui , Park Young Hoon , Baik Seung Min , Park Dong Jin 
Published: January 2024

Objective Modern healthcare systems face challenges related to the stable and sufficient blood supply of blood due to shortages. This study aimed to predict the monthly blood transfusion requirements in medical institutions using an artificial intelligence model based on national open big data related to transfusion. Methods Data regarding blood types and components in Korea from January 2010 to December 2021 were obtained from the Health Insurance Review and Assessment Service and Statistics Korea. The data were collected from a single medical institution. Using the obtained information, predictive models were developed, including eXtreme Gradient Boosting (XGBoost), Light Gradient Boosting Machine (LGBM), and category boosting (CatBoost). An ensemble model was created using these three models. Results The prediction performance of XGBoost, LGBM, and CatBoost demonstrated a mean absolute error ranging from 14.6657 for AB+ red blood cells (RBCs) to 84.0433 for A+ platelet concentrate (PC) and a root mean squared error ranging from 18.5374 for AB+ RBCs to 118.6245 for B+ PC. The error range was further improved by creating ensemble models, wherein the department requesting blood was the most influential parameter affecting transfusion prediction performance for different blood products and types. Except for the department, the features that affected the prediction performance varied for each product and blood type, including the number of RBC antibody screens, crossmatch, nationwide blood donations, and surgeries. Conclusion Based on blood-related open big data, the developed blood-demand prediction algorithm can efficiently provide medical facilities with an appropriate volume of blood ahead of time.
Digital determinants of health as a way to address multilevel complex causal model in the promotion of Digital health equity and the prevention of digital health inequities: A scoping review
Authors: Petretto Donatella Rita , Carrogu Gian Pietro , Gaviano Luca , Berti Roberta , Pinna Martina , Petretto Andrea Domenico , Pili Roberto 
Published: January 2024

Background: With the progressive digitization of health services and the current spread of Telemedicine and e-Health, it became clear that promoting Digital health equity (DHE) is necessary to support health potential, to avoid that some individuals can incur in unintended inequities. In this paper, we address the complex causal process(es) that may generate risk of inequities, considering the so-called “Digital Determinants of health” (DDoH) and their relationship with determinants of health (DoH). Design and methods: We conducted a scoping review, according to methodological framework proposed in PRISMA-ScR guidelines, on the definition of DDoH (Scopus, Pubmed and Web of Science electronic databases). Inclusion criteria: papers on the definition of DDoH, no time limits, all study designs eligible. Results: There is an agreement on the link between DDoHs and “digital divide” and on their effects on a wide range of health, functioning outcomes, both as barriers and as facilitators. Authors proposed to modify or integrate with DDoHs the “Rainbow model” or other conceptual models on DoH. To promote DHE, authors suggest considering a multidimensional complex causal model, with interdependence among the different levels and the mutually reinforcing effects. Conclusion: To study DDoH and their relationship with main determinants of health could be a way to address the complex causal model in the promotion of DHE. However, as they act in a multidimensional causal context, any intervention may consider the interdependence among different involved levels, within them, and the mutually reinforcing effects. Further research is needed to gain a more complete picture of the field.
Nursing Professional Commitment as a Mediator of the Relationship Between Work Environment and Missed Nursing Care Among Nurses: A Cross-Sectional Analysis
Authors: Hendy Abdelaziz , Abdel Fattah Hadya Abboud , Abouelela Madeha Ali , Atia Gehan Abd elfattah , Alshammari Maha Suwailem Shuaib , Hables Reda Mhmoud Mohamed , Alzahrani Naif S. , Hendy Ahmed , Almarwani Abdulaziz Mofdy 
Published: January 2024

Introduction Nursing care plays a pivotal role in promoting patient well-being and optimizing health outcomes. The nursing profession is characterized by its commitment to delivering high-quality care to patients. Objective The purpose of the study was to explore the role of nursing professional commitment as a mediator between the work environment and missed nursing care. Methods A cross-sectional analysis study “STROBE guideline” used an online structured questionnaire to collect data. It was conducted on a sample of 813 nurses who worked at seven governmental hospitals in Egypt, in the hospital wards, operating rooms, intensive care unit (ICU) or outpatient clinics, during a 4-month period from April to August 2022. Researchers used Characteristics of nurses, Nursing Work Index-Revised, Nursing Professional Commitment Scale, and MISSCARE Questionnaire to collect the data. Structural equation modeling by AMOS was used for testing nursing professional commitment as a mediator between the work environment and missed nursing care. Nurses’ professional commitment was used as a mediator between work environment and missing nursing care. Results The working environment has a direct impact of −0.175, an indirect impact of −0.139, and a total impact of −0.314. Furthermore, professional commitment has a direct impact of −0.421. Additionally, when the working environment increases by 1, professional commitment increases by 0.33. Similarly, when the working environment increases by 1, missed care decreases by 0.175. Moreover, when professional commitment, as a mediating factor, increases by 1, missed care decreases by 0.421. Conclusion In conclusion, the findings of this study highlight the significant role of professional commitment as an intermediary factor between the working environment and missed nursing care. According to these results, it is necessary to formulate and implement intervention strategies to improve nurses’ professional commitment and working environment, which is the key to reducing their missed nursing care.
Comment on “Reboot/NoFap Participants Erectile Concerns Predicted by Anxiety and Not Mediated/Moderated by Pornography Viewing”
Authors: Geuens Sam , De Win Gunter , Jacobs Tim 
Published: January 2024

Dear Sir, We would like to compliment the authors for questioning the Reboot/NoFap approach to male sexual arousal problems. As clinicians, we see a steep increase of patients asking about the sense or nonsense of trying such an approach. This comment highlights both the strengths of the original paper and poses a number of questions regarding its content and methodology.
Is Gap Arthroplasty Sufficient in TMJ Ankylosis: Our Experience
Authors: Mahajan Amit , Soni Dharang , Dholabhai Pratesh , Daithankar Sharvari , Shah Aditya , Adalja Chaitya 
Published: January 2024

Methods: A 10-year retrospective analysis of eight patients with temporomandibular joint (TMJ) ankylosis. The age, gender distribution, etiology, affected side (unilateral or bilateral), mouth opening (MO), and occlusion were evaluated pre-operatively and after gap arthroplasty (GA) with follow-up two years. Results: In this study, there were eight participants, with an average age of 24.75 ± 3.8 years, gender distribution was 62% men and 38% females with seven individuals having etiology of trauma and 1 pathology. TMJ ankylosis was found to be bilateral in 38% of patients and unilateral in 62%. Pre-op and two-year follow-up MO showed a mean of 10.75 ± 3.8 mm and 30.4 ± 5.6 mm, respectively. Re-ankylosis was not reported in any cases. Conclusion: The most effective care for TMJ ankylosis begins with a correct and timely diagnosis, followed by the development of a proper/comprehensive treatment plan thus improving the patient’s quality of life. We conclude that all of our GA patients had appropriate MO at follow-up of 24 months. Long-term functional outcomes of GA are satisfactory as it justifies adequate MO with minimal complications. After GA jaw physiotherapy is also critical for long-term success.
SOX11 is a novel binding partner and endogenous inhibitor of SAMHD1 ara-CTPase activity in mantle cell lymphoma
Authors: Abdelrazak Morsy Mohammad Hamdy , Lilienthal Ingrid , Lord Martin , Merrien Magali , Wasik Agata Magdalena , Sureda-Gómez Marta , Amador Virginia , Johansson Henrik J. , Lehtiö Janne , Garcia-Torre Beatriz , Martin-Subero Jose Ignacio , Tsesmetzis Nikolaos , Tao Sijia , Schinazi Raymond F. , Kim Baek , Sorteberg Agnes L. , Wickström Malin , Sheppard Devon , Rassidakis Georgios Z. , Taylor Ian A. , Christensson Birger , Campo Elias , Herold Nikolas , Sander Birgitta 
Published: January 2024

Abstract
Sterile alpha motif and histidine-aspartate (HD) domain–containing protein 1 (SAMHD1) is a deoxynucleoside triphosphate triphosphohydrolase with ara-CTPase activity that confers cytarabine (ara-C) resistance in several hematological malignancies. Targeting SAMHD1’s ara-CTPase activity has recently been demonstrated to enhance ara-C efficacy in acute myeloid leukemia. Here, we identify the transcription factor SRY-related HMG-box containing protein 11 (SOX11) as a novel direct binding partner and first known endogenous inhibitor of SAMHD1. SOX11 is aberrantly expressed not only in mantle cell lymphoma (MCL), but also in some Burkitt lymphomas. Coimmunoprecipitation of SOX11 followed by mass spectrometry in MCL cell lines identified SAMHD1 as the top SOX11 interaction partner, which was validated by proximity ligation assay. In vitro, SAMHD1 bound to the HMG box of SOX11 with low-micromolar affinity. In situ crosslinking studies further indicated that SOX11-SAMHD1 binding resulted in a reduced tetramerization of SAMHD1. Functionally, expression of SOX11 inhibited SAMHD1 ara-CTPase activity in a dose-dependent manner resulting in ara-C sensitization in cell lines and in a SOX11-inducible mouse model of MCL. In SOX11-negative MCL, SOX11-mediated ara-CTPase inhibition could be mimicked by adding the recently identified SAMHD1 inhibitor hydroxyurea. Taken together, our results identify SOX11 as a novel SAMHD1 interaction partner and its first known endogenous inhibitor with potentially important implications for clinical therapy stratification.
Marked variations in diversity and functions of gut microbiota between wild and domestic stag beetle Dorcus Hopei Hopei
Authors: Lu Yikai , Chu Siyuan , Shi Zhiyuan , You Ruobing , Chen Haimin 
Published: January 2024

Abstract
Background
Although stag beetles are a popular saprophytic insect, their gut microbiome has been poorly studied. Here, 16 S rRNA gene sequencing was employed to reveal the gut microbiota composition and functional variations between wild and domestic Dorcus hopei hopei (Dhh) larval individuals.

Results
The results indicated a significant difference between the wild and domestic Dhh gut microbiota., the domestic Dhh individuals contained more gut microbial taxa (e.g. genera Ralstonia and Methyloversatilis) with xenobiotic degrading functions. The wild Dhh possesses gut microbiota compositions (e.g. Turicibacter and Tyzzerella ) more appropriate for energy metabolism and potential growth. This study furthermore assigned all Dhh individuals by size into groups for data analysis; which indicated limited disparities between the gut microbiota of different-sized D. hopei hopei larvae.

Conclusion
The outcome of this study illustrated that there exists a significant discrepancy in gut microbiota composition between wild and domestic Dhh larvae. In addition, the assemblage of gut microbiome in Dhh was primarily attributed to environmental influences instead of individual differences such as developmental potential or size. These findings will provide a valuable theoretical foundation for the protection of wild saprophytic insects and the potential utilization of the insect-associated intestinal microbiome in the future.
Factors associated with cellulitis in lymphoedema of the arm – an international cross-sectional study (LIMPRINT)
Authors: Burian Ewa Anna , Franks Peter J. , Borman Pinar , Quéré Isabelle , Karlsmark Tonny , Keeley Vaughan , Sugama Junko , Cestari Marina , Moffatt Christine J. 
Published: January 2024

Abstract
Background
Lymphoedema is a globally neglected health care problem and a common complication following breast cancer treatment. Lymphoedema is a well-known predisposing factor for cellulitis, but few have investigated the risk factors for cellulitis in this patient cohort on an international level. The aim of this study was to identify the frequency of cellulitis in patients with lymphoedema of the arm, including potential risk factors for cellulitis.

Methods
An international, multi-centre, cross-sectional study including patients with clinically assessed arm lymphoedema. The primary outcome was the incidence of cellulitis located to the arm with lymphoedema within the last 12 months, and its potential associated risk factors. The secondary outcome was life-time prevalence of cellulitis. Adults with clinically-assessed arm lymphoedema/chronic oedema (all causes) and able to give informed consent were included. End-of-life-patients or those judged as not in the patient’s best interest were excluded. Both univariable and multivariable analysis were performed.

Results
A total of 2160 patients were included from Australia, Denmark, France, Ireland, Italy, Japan, Turkey and United Kingdom. Secondary lymphoedema was present in 98% of the patients; 95% of these were judged as related to cancer or its treatment. The lifetime prevalence of cellulitis was 22% and 1-year incidence 11%. Following multivariable analysis, factors associated with recent cellulitis were longer swelling duration and having poorly controlled lymphoedema. Compared to having lymphoedema less than 1 year, the risk increased with duration: 1–2 years (OR 2.15), 2–5 years (OR 2.86), 5–10 years (OR 3.15). Patients with well-controlled lymphoedema had a 46% lower risk of cellulitis (OR 0.54, 95% CI 0.39–0.73, p < 0.001). More advanced stages of lymphoedema were associated with cellulitis even after adjustment for swelling duration and control of swelling by logistic regression (stage II OR 5.44, stage III OR 9.13, p = 0.002), demonstrated in a subgroup analysis.

Conclusion
Patients with advanced arm lymphoedema are at particular risk of developing cellulitis. Prevention of lymphoedema progression is crucial. The results lend towards a positive effect of having well-treated lymphoedema on the frequency of cellulitis.
Cost-effectiveness of linezolid to ventilator-associated pneumonia in Colombia
Authors: Buendía Jefferson Antonio , Patiño Diana Guerrero , Zuluaga Salazar Andrés Felipe 
Published: January 2024

Introduction
Ventilator-associated pneumonia (VAP) is a prominent cause of morbidity and mortality in intensive care unit (ICU) patients. Due to the increase in Methicillin resistant Staphylococcus aureus infection, it is important to consider other more effective and safer alternatives compared to vancomycin. This motivates evaluating whether the use of an apparently more expensive drug such as linezolid can be cost-effective in Colombia.

Methods
A decision tree was used to simulate the results in terms of the cost and proportion of cured patients. In the simulation, patients can receive antibiotic treatment with linezolid (LZD 600 mg IV/12 h) or vancomycin (VCM 15 mg/kg iv/12 h) for 7 days, patients they can experience events adverse (renal failure and thrombocytopenia). The model was analyzed probabilistically, and a value of information analysis was conducted to inform the value of conducting further research to reduce current uncertainties in the evidence base. Cost-effectiveness was evaluated at a willingness-to-pay (WTP) value of US$5180.

Results
The mean incremental cost of LZD versus VCM is US$-517. This suggests that LZD is less costly. The proportion of patients cured when treated with LZD compared with VCM is 53 vs. 43%, respectively. The mean incremental benefit of LZD versus VCM is 10 This position of absolute dominance (LZD has lower costs and higher proportion of clinical cure than no supplementation) is unnecessary to estimate the incremental cost-effectiveness ratio. There is uncertainty with a 0.999 probability that LZD is more cost-effective than VCM. Our base‐case results were robust to variations in all assumptions and parameters.

Conclusion
LNZ is a cost-effective strategy for patients, ≥ 18 years of age, with VAP in Colombia- Our study provides evidence that can be used by decision-makers to improve clinical practice guidelines.
Recognition of eye diseases based on deep neural networks for transfer learning and improved D-S evidence theory
Authors: Du Fanyu , Zhao Lishuai , Luo Hui , Xing Qijia , Wu Jun , Zhu Yuanzhong , Xu Wansong , He Wenjing , Wu Jianfang 
Published: January 2024

Abstract
Background
Human vision has inspired significant advancements in computer vision, yet the human eye is prone to various silent eye diseases. With the advent of deep learning, computer vision for detecting human eye diseases has gained prominence, but most studies have focused only on a limited number of eye diseases.

Results
Our model demonstrated a reduction in inherent bias and enhanced robustness. The fused network achieved an Accuracy of 0.9237, Kappa of 0.878, F1 Score of 0.914 (95% CI [0.875–0.954]), Precision of 0.945 (95% CI [0.928–0.963]), Recall of 0.89 (95% CI [0.821–0.958]), and an AUC value of ROC at 0.987. These metrics are notably higher than those of comparable studies.

Conclusions
Our deep neural network-based model exhibited improvements in eye disease recognition metrics over models from peer research, highlighting its potential application in this field.

Methods
In deep learning-based eye recognition, to improve the learning efficiency of the model, we train and fine-tune the network by transfer learning. In order to eliminate the decision bias of the models and improve the credibility of the decisions, we propose a model decision fusion method based on the D-S theory. However, D-S theory is an incomplete and conflicting theory, we improve and eliminate the existed paradoxes, propose the improved D-S evidence theory(ID-SET), and apply it to the decision fusion of eye disease recognition models.
Inflammatory markers are associated with infertility prevalence: a cross-sectional analysis of the NHANES 2013–2020
Authors: Chen Yanfen , Xu Huanying , Yan Jianxing , Wen Qidan , Ma Mingjun , Xu Ningning , Zou Haoxi , Xing Xiaoyan , Wang Yingju , Wu Suzhen 
Published: January 2024

Abstract
Background
Inflammation exerts a critical role in the pathogenesis of infertility. The relationship between inflammatory parameters from peripheral blood and infertility remains unclear. Aim of this study was to investigate the association between inflammatory markers and infertility among women of reproductive age in the United States.

Methods
Women aged 20–45 were included from the National Health and Nutrition Examination Survey (NHANES) 2013–2020 for the present cross-sectional study. Data of reproductive status was collected from the Reproductive Health Questionnaire. Six inflammatory markers, systemic immune inflammation index (SII), lymphocyte count (LC), product of platelet and neutrophil count (PPN), platelet-lymphocyte ratio (PLR), neutrophil–lymphocyte ratio (NLR) and lymphocyte-monocyte ratio (LMR) were calculated from complete blood counts in mobile examination center. Survey-weighted multivariable logistic regression was employed to assess the association between inflammatory markers and infertility in four different models, then restricted cubic spline (RCS) plot was used to explore non-linearity association between inflammatory markers and infertility. Subgroup analyses were performed to further clarify effects of other covariates on association between inflammatory markers and infertility.

Results
A total of 3,105 women aged 20–45 was included in the final analysis, with 431 (13.88%) self-reported infertility. A negative association was found between log2-SII, log2-PLR and infertility, with an OR of 0.95 (95% CI: 0.78,1.15; p = 0.60), 0.80 (95% CI:0.60,1.05; p = 0.10), respectively. The results were similar in model 1, model 2, and model 3. Compared with the lowest quartile (Q1), the third quartile (Q3) of log2-SII was negatively correlation with infertility, with an OR (95% CI) of 0.56 (95% CI: 0.37,0.85; p = 0.01) in model 3. Similarly, the third quartile (Q3) of log2-PLR was negatively correlation with infertility, with an OR (95% CI) of 0.61 (95% CI: 0.43,0.88; p = 0.01) in model 3. No significant association was observed between log2-LC, log2-PPN, log2-NLR, log2-LMR and infertility in model 3. A similar U-shaped relationship between log2-SII and infertility was found (p for non-linear < 0.05). The results of subgroup analyses revealed that associations between the third quartile (Q3) of log2-SII, log2-PLR and infertility were nearly consistent.

Conclusion
The findings showed that SII and PLR were negatively associated with infertility. Further studies are needed to explore their association better and the underlying mechanisms.