bluuebunny/crossref_metadata_2025_split huggingface dataset:
Single-cell transcriptomic analysis reveals a decrease in the frequency of macrophage-RGS1high subsets in patients with osteoarticular tuberculosis
Authors: Jiang Ying , Zhang Xinqiang , Wang Bo , Tang Liping , Liu Xin , Ding Xiudong , Dong Yueming , Lei Hong , Wang Di , Feng Huicheng 
Published: August 2024

Abstract
Background
Cell subsets differentially modulate host immune responses to Mycobacterium tuberculosis (MTB) infection. However, the nature and functions of these subsets against osteoarticular tuberculosis (OTB) are unclear. Here, we aimed to understand the phenotypes and functions of immune cell subsets in patients with OTB using single-cell RNA sequencing (scRNA-Seq).

Methods
Pathological and healthy adjacent tissues were isolated from patients with OTB and subjected to scRNA-Seq. Unsupervised clustering of cells was performed based on gene expression profiles, and uniform manifold approximation and projection was used for clustering visualization.

Results
Thirteen cell subsets were identified in OTB tissues. scRNA-seq datasets of patients and healthy controls (HCs) showed that infection changed the frequency of immune cell subsets in OTB tissues. Myeloid cell examination revealed nine subsets. The frequency of macrophage-RGS1high subsets decreased in OTB tissues; this increased MTB susceptibility in an SLC7A11/ferroptosis-dependent manner. Immunohistochemistry assays and flow cytometry for patients with OTB and osteoarticular bacterial infection (OBI) and HCs verified that the frequency of macrophage-RGS1high subset decreased in OTB tissues and blood samples, thereby distinguishing patients with OTB from HCs and patients with OBI.

Conclusion
The macrophage-RGS1high subset levels were decreased in patients with OTB, and would be up-regulated after effective treatment. Therefore, the clinical significance of this study is to discover that macrophage-RGS1high subset may serve as a potential biomarker for OTB diagnosis and treatment efficacy monitoring.
Regional variation in health care substitution for intrauterine device insertion: a retrospective cohort study
Authors: Vink Maarten D. , Portrait France R. , van Wezep Tim , Koolman Xander , Mol Ben W. , van der Hijden Eric J. 
Published: August 2024

Abstract
Background
Rising health care costs are a major concern in most Western countries. The substitution of healthcare stands as a strategic approach aimed at mitigating costs while offering medical services in proximity to patients’ residences. An illustrative instance involves the migration of outpatient hospital care to primary care settings. Notably, the insertion of intrauterine devices (IUDs) can be safely executed within primary care contexts. In order to establish a pragmatic objective for the rate of IUD substitution, we conducted an evaluation of regional disparities in healthcare substitution pertaining to the insertion of intrauterine devices. Furthermore, we investigated disparities in the follow-up ultrasound and reinsertion of IUDs between primary and secondary healthcare environments.

Methods
All women who underwent IUD insertion in Dutch primary care (by general practitioners and midwives) and secondary care (by hospital physicians) between January 1, 2016, and December 31, 2020 were included. The main outcome measures were the case-mix adjusted IUD insertion rates at the regional level by care setting and the proportions requiring follow-up ultrasound and IUD reinsertion within three months.

Results
Of the 840,766 IUD placements, 74% were inserted in primary care and 26% in secondary care. The proportion inserted in primary care increased from 70% in 2016 to 77% in 2020. The observed substitution rate ranged from 58 to 82% between regions. Compared with health care professionals in primary care, those in secondary care performed more ultrasounds to verify IUD placement (23% vs. 3%; p-value < 0.01) and more IUD reinsertions within three months (6% vs. 2%; p-value < 0.01).

Conclusions
IUDs are increasingly being inserted in Dutch primary care, with peak regional IUD insertion care substitution rates at ≥ 80%. IUD insertion care substitution to primary care appears to be associated with significantly fewer women having follow-up ultrasound or IUD reinsertion within three months.
Predictors of length of hospital stay after pediatric Ebstein anomaly corrective surgery: a retrospective cohort study
Authors: Liu Qiao , Wu Xie , Li Yinan , Ding Jie , Wang Hongbai , Dou Dou , An Ran , Bie Dongyun , Jia Yuan , Yuan Su , Yan Fuxia 
Published: August 2024

Abstract
Background
The remarkable advancements in surgical techniques over recent years have shifted the clinical focus from merely reducing mortality to enhancing the quality of postoperative recovery. The duration of a patient’s hospital stay serves as a crucial indicator in evaluating postoperative recovery and surgical outcomes. This study aims to identify predictors of the length of hospital stay for children who have undergone corrective surgery for Ebstein Anomaly (EA).

Methods
We conducted a retrospective cohort study on children (under 18 years of age) diagnosed with EA who were admitted for corrective surgery between January 2009 and November 2021 at Fuwai Hospital. The primary outcome was the Time to Hospital Discharge (THD). Cox proportional hazard models were utilized to identify predictors of THD. In the context of time-to-event analysis, discharge was considered an event. In cases where death occurred before discharge, it was defined as an extended THD, input as 100 days (exceeding the longest observed THD), and considered as a non-event.

Results
A total of 270 children were included in this study, out of which three died in the hospital. Following the Cox proportional hazard analysis, six predictors of THD were identified. The hazard ratios and corresponding 95% confidence intervals were as follows: age, 1.030(1.005,1.055); C/R > 0.65, 0.507(0.364,0.707); Carpentier type C or D, 0.578(0.429,0.779); CPB time, 0.995(0.991,0.998); dexamethasone, 1.373(1.051,1.795); and transfusion, 0.680(0.529,0.875). The children were categorized into three groups based on the quartile of THD. Compared to children in the ≤ 6 days group, those in the ≥ 11 days group were associated with a higher incidence of adverse outcomes. Additionally, the duration of mechanical ventilation and ICU stay, as well as hospital costs, were significantly higher in this group.

Conclusion
We identified six predictors of THD for children undergoing corrective surgery for EA. Clinicians can utilize these variables to optimize perioperative management strategies, reduce adverse complications, improve postoperative recovery, and reduce unnecessary medical expenses.
Unveiling social relationships: exploring the importance of relationships as a moderator of the link between effort-reward imbalance and leader-member exchange among healthcare professionals
Authors: Erschens Rebecca , Armbruster Ines , Adam Sophia Helen , Rapp Felicitas , Braun Lisa , Schröpel Carla , Zipfel Stephan , Rieger Monika A. , Gündel Harald , Rothermund Eva , Junne Florian 
Published: August 2024

Abstract
Objective
Healthcare professionals are at increased risk of experiencing occupational stress and its detrimental stress-sequalae. Relevant theories that contribute to the subjective experience of occupational stress have been identified, such as the model of effort-reward imbalance (ERI) and the concept of leader-member exchange (LMX). The aim of this study was to examine how the perceived importance of social relationships at work moderates the relationship between LMX and imbalance ERI.

Methods
A survey was conducted among N = 1,137 healthcare professionals from diverse occupational categories in a tertiary hospital in Germany. ERI was gauged using the German version of the Effort-Reward Imbalance Questionnaire (ERI-S 10). The quality of leader-employee dyadic relationships was assessed using the German version of the Leader-Member Exchange (LMX-7). The importance of social relationships was assessed on the basis of a previously validated polarity profile.

Results
More than 75% of healthcare professionals reported high levels of ERI, with those involved in direct patient care particularly affected. On average, leaders rated relationship quality higher than their respective followers. Subjectively higher LMX was associated with lower ERI. This association was moderated by the perceived importance of social relationships at work. Higher subjective ratings of their importance led to a stronger association.

Conclusion
The study highlights the particular challenges faced in the healthcare sector. The results emphasize that the perceived importance of social relationships at work can play a key role in healthcare professionals’ job stress and underline the need for stress prevention programs that engage both leaders and followers.
Edentulism and quality of life in the Salvadoran population: a cross-sectional study
Authors: Escobar Guillermo Alfonso Aguirre , Cartagena Francisco José Rivas , de González Wendy Yesenia Escobar , de Rodríguez Katleen Argentina Aguirre , Bravo Manuel , Mesa Francisco , de Miguel Ángel Gil , de Martínez Aida Maricela Gómez , Siciliano Ana Lourdes Pérez 
Published: August 2024

Abstract
Introduction
Edentulism is the partial or total loss of teeth, it is irreversible and disabling due to its sequelae in the masticatory, phonetic and aesthetic function that affect the quality of life.

Objective
To establish the impact of edentulism and sociodemographic factors on the quality of life of the Salvadoran population.

Materials and methods
Secondary cross-sectional analysis of data in 3322 users of the Public Health System of El Salvador, aged 15 to > 60 years. The variables under study were sociodemographic, edentulismo and quality of life. Edentulism was determined by clinical examination using the Oral Impact on Daily Performance scale. The statistical analysis was performed using χ2, OR, multiple regression analysis and set the significance threshold at p < 0.05.

Results
Partial edentulism in the upper jaw was present in 68.24% people, partial edentulism in the lower jaw was present in 72.42% people and complete edentulism was observed in 2.02% people. There were significant sex differences and a relationship between sex and quality of life (p < 0.004); the self-perception of severe/very severe impacts was greater in women. People without education or with primary or secondary education only were the most affected (p < 0.05). Tooth loss increases with age, affecting quality of life in a severe/very severe manner. Complete edentulism had greater impacts on quality of life in terms of eating (25.64%), speaking (21.15%), and socializing/enjoying contact with people (10.90%). A severe/very severe impact on quality of life of teeth lost was reported mainly by those over 60 years of age, with an average of 11 missing posterior teeth, 6 missing anterior teeth and 13 missing teeth per patient. Those missing up to 6 anterior teeth were times more likely to perceive severe/very severe impacts on quality of life than those without any missing teeth (OR:5.788). Edentulism affected the quality of life of those examined, especially the loss of upper anterior teeth.
Undergraduates’ workplace learning in health sciences education: psychometric properties of single-item measures
Authors: Steinberg Evelyn , Yanagida Takuya , Marsch Stephan , Dörrenbächer-Ulrich Laura , Schwarz Lukas , Auer Ulrike , Kleinsorgen Christin , Pfeiffer Christopher , Bührle Petra , Perels Franziska 
Published: August 2024

Abstract
Background
Undergraduates’ workplace learning is an important part of health sciences education. Educational psychology research considers many different aspects of self-regulated learning at the workplace, including cognition, motivation, emotions, and context. Multivariate longitudinal and diary studies in this field require fewer items than alternatives or even a single item per construct and can reveal the sub-processes of workplace learning and contribute to a better understanding of students’ learning. Short instruments are necessary for application in workplace settings, especially stressful ones, to mitigate survey fatigue. The present study aimed to assess the psychometric properties of single items measuring various aspects of workplace learning.

Methods
Twenty-nine single items selected from the Workplace Learning Inventory in Health Sciences Education were analyzed for reliability, information reproduction, and relationships within the nomological network. The authors additionally analyzed four generally formulated single items’ relationships with the full Workplace Learning Inventory scales and external criteria within the nomological network. Participants were 214 ninth- or tenth-semester veterinary medicine students in Austria and Germany who were learning at varied workplaces during the winter semester of 2021/2022.

Results
Of the 29 single items selected from existing scales, 27 showed sufficient reliability, but mixed results were obtained regarding validity. Although the items’ relationships within the nomological network were similar to those of the full scales, information reproduction was insufficient for most items. The four general single items showed acceptable validity, but the reliability of these measures of states could not be assessed.

Conclusions
This paper reported findings on the psychometric properties of single items for undergraduates’ workplace learning in health science education. The findings are crucial for deciding whether to use scales versus single-item measures in future studies. By applying the findings, researchers can be more economical in their workplace learning data collection and can include more constructs.
The ethical dimension of personal health monitoring in the armed forces: a scoping review
Authors: Bovens Dave , van Baarle Eva , Ziesemer Kirsten , Molewijk Bert 
Published: August 2024

Abstract
Background
Personal Health Monitoring (PHM) has the potential to enhance soldier health outcomes. To promote morally responsible development, implementation, and use of PHM in the armed forces, it is important to be aware of the inherent ethical dimension of PHM. In order to improve the understanding of the ethical dimension, a scoping review of the existing academic literature on the ethical dimension of PHM was conducted.

Methods
Four bibliographical databases (Ovid/Medline, Embase.com, Clarivate Analytics/Web of Science Core Collection, and Elsevier/SCOPUS) were searched for relevant literature from their inception to June 1, 2023. Studies were included if they sufficiently addressed the ethical dimension of PHM and were related to or claimed relevance for the military. After selection and extraction, the data was analysed using a qualitative thematic approach.

Results
A total of 9,071 references were screened. After eligibility screening, 19 articles were included for this review. The review identifies and describes three categories reflecting the ethical dimension of PHM in the military: (1) utilitarian considerations, (2) value-based considerations, and (3) regulatory responsibilities. The four main values that have been identified as being of concern are those of privacy, security, trust, and autonomy.

Conclusions
This review demonstrates that PHM in the armed forces is primarily approached from a utilitarian perspective, with a focus on its benefits, without explicit critical deliberation on PHM’s potential moral downsides. Also, the review highlights a significant research gap with a specific lack of empirical studies focussing specifically on the ethical dimension of PHM. Awareness of the inherent ethical dimension of PHM in the military, including value conflicts and how to balance them, can help to contribute to a morally responsible development, implementation, and use of PHM in the armed forces.
Longitudinal association of exclusive and dual use of cigarettes and cigars with asthma exacerbation among US adults: a cohort study
Authors: Patel Akash , Buszkiewicz James H. , Cook Steven , Arenberg Douglas A. , Fleischer Nancy L. 
Published: August 2024

Abstract
Background
Cigar use among adults in the United States has remained relatively stable in the past decade and occupies a growing part of the tobacco marketplace as cigarette use has declined. While studies have established the detrimental respiratory health effects of cigarette use, the effects of cigar use need further characterization. In this study, we evaluate the prospective association between cigar use, with or without cigarettes, and asthma exacerbation.

Methods
We used data from Waves 1–5 (2013–2019) of the Population Assessment of Tobacco and Health Study to run generalized estimating equation models examining the association between time-varying, one-wave-lagged cigarette and cigar use and self-reported asthma exacerbation among US adults (18+). We defined our exposure as non-established (reference), former, exclusive cigarette, exclusive cigar, and dual use. We defined an asthma exacerbation event as a reported asthma attack in the past 12 months necessitating oral or injected steroid medication or asthma symptoms disrupting sleep at least once a week in the past 30 days. We adjusted for age, sex, race and ethnicity, household income, health insurance, established electronic nicotine delivery systems use, cigarette pack-years, secondhand smoke exposure, obesity, and baseline asthma exacerbation.

Results
Exclusive cigarette use (incidence rate ratio (IRR): 1.26, 95% confidence interval (CI): 1.03–1.54) and dual use (IRR: 1.41, 95% CI: 1.08–1.85) were associated with a higher rate of asthma exacerbation compared to non-established use, while former use (IRR: 1.01, 95% CI: 0.80–1.28) and exclusive cigar use (IRR: 0.70, 95% CI: 0.42–1.17) were not.

Conclusion
We found no association between exclusive cigar use and self-reported asthma exacerbation. However, exclusive cigarette use and dual cigarette and cigar use were associated with higher incidence rates of self-reported asthma exacerbation compared to non-established use. Studies should evaluate strategies to improve cigarette and cigar smoking cessation among adults with asthma who continue to smoke.
Effectiveness of mixed reality-based rehabilitation on hands and fingers by individual finger-movement tracking in patients with stroke
Authors: Ham Yeajin , Yang Dong-Seok , Choi Younggeun , Shin Joon-Ho 
Published: August 2024

Abstract
Background
Mixed reality (MR) is helpful in hand training for patients with stroke, allowing them to fully submerge in a virtual space while interacting with real objects. The recognition of individual finger movements is required for MR rehabilitation. This study aimed to assess the effectiveness of updated MR-board 2, adding finger training for patients with stroke.

Methods
Twenty-one participants with hemiplegic stroke (10 with left hemiplegia and 11 with right hemiplegia; nine female patients; 56.7 ± 14.2 years of age; and onset of stroke 32.7 ± 34.8 months) participated in this study. MR-board 2 comprised a board plate, a depth camera, plastic-shaped objects, a monitor, a palm-worn camera, and seven gamified training programs. All participants performed 20 self-training sessions involving 30-min training using MR-board 2. The outcome measurements for upper extremity function were the Fugl–Meyer assessment (FMA) upper extremity score, repeated number of finger flexion and extension (Repeat-FE), the thumb opposition test (TOT), Box and Block Test score (BBT), Wolf Motor Function Test score (WMFT), and Stroke Impact Scale (SIS). One-way repeated measures analysis of variance and the post hoc test were applied for the measurements. MR-board 2 recorded the fingers’ active range of motion (AROM) and Dunnett’s test was used for pairwise comparisons.

Results
Except for the FMA-proximal score (p = 0.617) and TOT (p = 0.005), other FMA scores, BBT score, Repeat-FE, WMFT score, and SIS stroke recovery improved significantly (p < 0.001) during MR-board 2 training and were maintained until follow-up. All AROM values of the finger joints changed significantly during training (p < 0.001).

Conclusions
MR-board 2 self-training, which includes natural interactions between humans and computers using a tangible user interface and real-time tracking of the fingers, improved upper limb function across impairment, activity, and participation. MR-board 2 could be used as a self-training tool for patients with stroke, improving their quality of life.
Trial registration number: This study was registered with the Clinical Research Information Service (CRIS: KCT0004167).
Evaluation of deep learning for predicting rice traits using structural and single-nucleotide genomic variants
Authors: Vourlaki Ioanna-Theoni , Ramos-Onsins Sebastián E. , Pérez-Enciso Miguel , Castanera Raúl 
Published: August 2024

Abstract
Background
Structural genomic variants (SVs) are prevalent in plant genomes and have played an important role in evolution and domestication, as they constitute a significant source of genomic and phenotypic variability. Nevertheless, most methods in quantitative genetics focusing on crop improvement, such as genomic prediction, consider only Single Nucleotide Polymorphisms (SNPs). Deep Learning (DL) is a promising strategy for genomic prediction, but its performance using SVs and SNPs as genetic markers remains unknown.

Results
We used rice to investigate whether combining SVs and SNPs can result in better trait prediction over SNPs alone and examine the potential advantage of Deep Learning (DL) networks over Bayesian Linear models. Specifically, the performances of BayesC (considering additive effects) and a Bayesian Reproducible Kernel Hilbert space (RKHS) regression (considering both additive and non-additive effects) were compared to those of two different DL architectures, the Multilayer Perceptron, and the Convolution Neural Network, to explore their prediction ability by using various marker input strategies. We found that exploiting structural and nucleotide variation slightly improved prediction ability on complex traits in 87% of the cases. DL models outperformed Bayesian models in 75% of the studied cases, considering the four traits and the two validation strategies used. Finally, DL systematically improved prediction ability of binary traits against the Bayesian models.

Conclusions
Our study reveals that the use of structural genomic variants can improve trait prediction in rice, independently of the methodology used. Also, our results suggest that Deep Learning (DL) networks can perform better than Bayesian models in the prediction of binary traits, and in quantitative traits when the training and target sets are not closely related. This highlights the potential of DL to enhance crop improvement in specific scenarios and the importance to consider SVs in addition to SNPs in genomic selection.