bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association between bone trace elements and osteoporosis in older adults: a cross-sectional study
Authors: Lin Shangjin , Yang Fengjian , Ling Ming , Fan Yongqian 
Published: September 2022

Objectives: Metal micronutrients deficiency may be one of the risk factors for the development of osteoporosis. This study aimed to measure the trace element contents in human bone tissue to analyze the relationship between micronutrients and osteoporosis. Design: A cross-sectional survey was performed on data from 51 elderly patients with proximal femoral fracture. Methods: The concentrations of calcium, phosphorus, manganese, iron, copper, and zinc in bone tissue samples from 51 elderly patients with proximal femoral fracture were determined by energy-dispersive X-ray fluorescence (EDX). Subjects were divided into osteoporosis and non-osteoporosis groups according to their bone mineral density (BMD) T-score values. The difference in metal elements concentrations in bone tissue between the two groups was compared, and the role of metal elements in osteoporosis was discussed. Results: There was no statistical difference in age, sex, body mass index (BMI), serum albumin, biochemical blood indices, and bone turnover markers between the two groups. The Mann–Whitney U test was used to compare the difference in metal elements concentrations in bone tissue samples between the two groups. The results showed that manganese, copper, and zinc concentrations in the cancellous bone were significantly higher in the non-osteoporosis group than in the osteoporosis group. Multivariate logistic regression analysis indicated that high bone zinc concentration [odds ratio = 0.26, 95% confidence interval (CI) = 0.075–0.928, p = 0.038] was negatively correlated with osteoporosis. Conclusion: Manganese, copper, and zinc play an essential role in bone mineralization and metabolism. Among them, zinc may be most closely related to osteoporosis and play a key role in bone development and maintenance of bone mass. Therefore, we believe that the design of zinc-rich compounds or nutrients as a new complementary factor to increase the intake of zinc for the elderly could be able to prevent and intervene in the occurrence of osteoporosis in the early stage.
Gender and Geographic Trends Among Foot and Ankle Surgeons: Where Are We and Where Do We Need to Improve?
Authors: Shazadeh Safavi Kiya , Okereke Robyn , Rezvani Aryan , Kocjan Kristine , Jupiter Daniel C. , Janney Cory F. 
Published: September 2022

Introduction: Women have historically been underrepresented in orthopaedics. This study analyzes the geographic distribution of female orthopaedic foot and ankle (OFA) surgeons, as well as geographic patterns between their training locations and current practices. Methods: American Orthopaedic Foot and Ankle Society (AOFAS) data regarding fellowship completion from 1988 to 2021 were analyzed. Internet searches were then performed to identify medical school, residency, and current practice locations of individual surgeons. States were categorized into regions and divisions based on US Census Bureau guidelines. Results: Of the 1088 OFA surgeons analyzed, 166 (15.26%) were women and 922 (84.74%) were men. The South has a higher number of female OFA surgeons; however, this region and the Midwest have the lowest percentages of female representation. The West and Northeast had significantly higher percentages of female representation and higher retention rates for women. There was high variability in the number and percentage of female OFA surgeons in divisions both within and between regions. Conclusion: Although the number of female OFA surgeons has increased, their representation remains low. Geographically, the East South Central division of the United States consistently had the least number of OFA surgeons, whereas the South Atlantic division had the highest. Level of Evidence: Not applicable.
Like, it's important: The frequency and use of the discourse marker like in older autistic children
Authors: Jones Rebekah , Zane Emily R , Grossman Ruth B 
Published: September 2022

Background & Aims Discourse markers, such as well or like, serve a variety of functions to support conversational reciprocity: filling pauses, aiding word-finding, and modulating turn-taking by holding the conversational floor. Previous research shows that autistic individuals use discourse markers less frequently than non-autistic (NonAu) peers; however, the discourse marker like has not been included in that research, despite its ubiquitous use by NonAu individuals, and despite the fact that like serves important pragmatic functions that are not encoded by any other discourse marker. Specifically, like signals to the listener that the content of upcoming speech is 1) Important/new; 2) Loose/approximate; 3) Reformulative; or 4) Quotative. The current study addresses this gap in the literature by comparing the frequency of discourse marker like use between older autistic and non-autistic children as well as exploring patterns of usage between the four like functions. Methods Twenty-one 10-to-17-year-old children on the autism spectrum and 20 NonAu peers—statistically matched on age, sex, IQ and language scores—engaged in a semi-structured interview with a researcher. Uses of discourse-marker like were identified from written transcripts of interviews and each use was categorized into one of the four functions. Results There were no significant differences in like frequencies between groups, nor were there differences in relative proportions of functions used by each group. Conclusions Research consistently indicates that autistic individuals use discourse markers significantly less often than their NonAu counterparts, but the findings from our study suggest that this pattern does not persist to all such markers. This group of older autistic children use like as often as their peers and use it to signify similar information about upcoming speech to their listener.
The prevalence of thrombocytopenia in patients with acute cancer-associated thrombosis
Authors: Hsu Charles , Patell Rushad , Zwicker Jeffrey I. 
Published: September 2022

Abstract
Venous thromboembolism (VTE) and thrombocytopenia are frequently encountered complications in patients with cancer. Although there are several studies evaluating the safety and efficacy of anticoagulation regimens in patients with cancer-associated thrombosis (CAT) with thrombocytopenia, there is a paucity of data assessing the scope of the concurrent diagnoses. This study evaluates the prevalence of thrombocytopenia among patients with acute CAT. A retrospective cohort analysis of adult patients with cancer was conducted at Beth Israel Deaconess Medical Center between 2010 and 2021 with CAT (acute VTE within 6 months after new diagnosis of malignancy). VTE included acute deep vein thrombosis, pulmonary embolism, abdominal or intrathoracic venous thrombosis, and cerebral sinus thrombosis. The lowest platelet count within 2 weeks of (before or after) the index VTE event was identified to assess the frequency and grade of concurrent thrombocytopenia. We identified 3635 patients with CAT (80% solid tumors, 18% hematologic malignancies, and 2% multiple concurrent cancer diagnoses). Thrombocytopenia (defined as platelet count &lt;100 000/μL) occurred in 22% (95% CI 21%-24%) of patients with CAT with solid tumors diagnoses and 47% (95% CI 43%-51%) of patients with CAT and hematologic malignancies. Severe thrombocytopenia (platelet count &lt;50 000/μL) occurred in 7% (95% CI 6%-8%) of patients with solid tumors and 30% (95% CI 27%-34%) of patients with hematologic malignancies. Concurrent diagnoses of CAT and thrombocytopenia are very common, especially among patients with hematologic malignancies.
Identifying health related occupations of Twitter users through word embedding and deep neural networks
Authors: Zainab Kazi , Srivastava Gautam , Mago Vijay 
Published: September 2022

AbstractBackgroundTwitter is a popular social networking site where short messages or “tweets” of users have been used extensively for research purposes. However, not much research has been done in mining the medical professions, such as detecting the occupations of users from their biographical contents. Mining such professions can be used to build efficient recommender systems for cost-effective targeted advertisements. Moreover, it is highly important to develop effective methods to identify the occupation of users since conventional classification methods rely on features developed by human intelligence. Although, the result may be favorable for the classification problem. However, it is still extremely challenging for traditional classifiers to predict the medical occupations accurately since it involves predicting multiple occupations. Hence this study emphasizes predicting the medical occupational class of users through their public biographical (“Bio”) content. We have conducted our analysis by annotating the bio content of Twitter users. In this paper, we propose a method of combining word embedding with state-of-art neural network models that include: Long Short Term Memory (LSTM), Bidirectional LSTM, Gated Recurrent Unit, Bidirectional Encoder Representations from Transformers, and A lite BERT. Moreover, we have also observed that by composing the word embedding with the neural network models there is no need to construct any particular attribute or feature. By using word embedding, the bio contents are formatted as dense vectors which are fed as input into the neural network models as a sequence of vectors.ResultPerformance metrics that include accuracy, precision, recall, and F1-score have shown a significant difference between our method of combining word embedding with neural network models than with the traditional methods. The scores have proved that our proposed approach has outperformed the traditional machine learning techniques for detecting medical occupations among users. ALBERT has performed the best among the deep learning networks with an F1 score of 0.90.ConclusionIn this study, we have presented a novel method of detecting the occupations of Twitter users engaged in the medical domain by merging word embedding with state-of-art neural networks. The outcomes of our approach have demonstrated that our method can further advance the process of analyzing corpora of social media without going through the trouble of developing computationally expensive features.
Dense phenotyping from electronic health records enables machine learning-based prediction of preterm birth
Authors: Abraham Abin , Le Brian , Kosti Idit , Straub Peter , Velez-Edwards Digna R. , Davis Lea K. , Newton J. M. , Muglia Louis J. , Rokas Antonis , Bejan Cosmin A. , Sirota Marina , Capra John A. 
Published: September 2022

Abstract
Background
Identifying pregnancies at risk for preterm birth, one of the leading causes of worldwide infant mortality, has the potential to improve prenatal care. However, we lack broadly applicable methods to accurately predict preterm birth risk. The dense longitudinal information present in electronic health records (EHRs) is enabling scalable and cost-efficient risk modeling of many diseases, but EHR resources have been largely untapped in the study of pregnancy.

Methods
Here, we apply machine learning to diverse data from EHRs with 35,282 deliveries to predict singleton preterm birth.

Results
We find that machine learning models based on billing codes alone can predict preterm birth risk at various gestational ages (e.g., ROC-AUC = 0.75, PR-AUC = 0.40 at 28 weeks of gestation) and outperform comparable models trained using known risk factors (e.g., ROC-AUC = 0.65, PR-AUC = 0.25 at 28 weeks). Examining the patterns learned by the model reveals it stratifies deliveries into interpretable groups, including high-risk preterm birth subtypes enriched for distinct comorbidities. Our machine learning approach also predicts preterm birth subtypes (spontaneous vs. indicated), mode of delivery, and recurrent preterm birth. Finally, we demonstrate the portability of our approach by showing that the prediction models maintain their accuracy on a large, independent cohort (5978 deliveries) from a different healthcare system.

Conclusions
By leveraging rich phenotypic and genetic features derived from EHRs, we suggest that machine learning algorithms have great potential to improve medical care during pregnancy. However, further work is needed before these models can be applied in clinical settings.
Assessing the psychometric performance of EQ-5D-5L in dementia: a systematic review
Authors: Keetharuth Anju D. , Hussain Hannah , Rowen Donna , Wailoo Allan 
Published: September 2022

Abstract
Background
EQ-5D is widely used for valuing changes in quality of life for economic evaluation of interventions for people with dementia. There are concerns about EQ-5D-3L in terms of content validity, poor inter-rater agreement and reliability in the presence of cognitive impairment, but there is also evidence to support its use with this population. An evidence gap remains regarding the psychometric properties of EQ-5D-5L.

Objectives
To report psychometric evidence around EQ-5D-5L in people with dementia.

Methods
A systematic review identified primary studies reporting psychometric properties of EQ-5D-5L in people with dementia. Searches were completed up to November 2020. Study selection, data extraction and quality assessment were undertaken independently by at least 2 researchers.

Results
Evidence was extracted from 20 articles from 14 unique studies covering a range of dementia severity. Evidence of known group validity from 5 of 7 studies indicated that EQ-5D-5L distinguishes severity of disease measured by cognitive impairment, depression, level of dependence and pain. Convergent validity (9 studies) showed statistically significant correlations of weak and moderate strengths, between EQ-5D-5L scores and scores on other key measures. Statistically significant change was observed in only one of 6 papers that allowed this property to be examined. All seven studies showed a lack of inter-rater reliability between self and proxy reports with the former reporting higher EQ-5D-5L scores than those provided by proxies. Five of ten studies found EQ-5D-5L to be acceptable, assessed by whether the measure could be completed by the PwD and/or by the amount of missing data. As dementia severity increased, the feasibility of self-completing EQ-5D-5L decreased. Three papers reported on ceiling effects, two found some evidence in support of ceiling effects, and one did not.

Conclusions
EQ-5D-5L seems to capture the health of people with dementia on the basis of known-group validity and convergent validity, but evidence is inconclusive regarding the responsiveness of EQ-5D-5L. As disease progresses, the ability to self-complete EQ-5D-5L is diminished.
Effective hemodynamic monitoring
Authors: Pinsky Michael R. , Cecconi Maurizio , Chew Michelle S. , De Backer Daniel , Douglas Ivor , Edwards Mark , Hamzaoui Olfa , Hernandez Glenn , Martin Greg , Monnet Xavier , Saugel Bernd , Scheeren Thomas W. L. , Teboul Jean-Louis , Vincent Jean-Louis 
Published: September 2022

AbstractHemodynamic monitoring is the centerpiece of patient monitoring in acute care settings. Its effectiveness in terms of improved patient outcomes is difficult to quantify. This review focused on effectiveness of monitoring-linked resuscitation strategies from: (1) process-specific monitoring that allows for non-specific prevention of new onset cardiovascular insufficiency (CVI) in perioperative care. Such goal-directed therapy is associated with decreased perioperative complications and length of stay in high-risk surgery patients. (2) Patient-specific personalized resuscitation approaches for CVI. These approaches including dynamic measures to define volume responsiveness and vasomotor tone, limiting less fluid administration and vasopressor duration, reduced length of care. (3) Hemodynamic monitoring to predict future CVI using machine learning approaches. These approaches presently focus on predicting hypotension. Future clinical trials assessing hemodynamic monitoring need to focus on process-specific monitoring based on modifying therapeutic interventions known to improve patient-centered outcomes.
Early administration of hydrocortisone, vitamin C, and thiamine in adult patients with septic shock: a randomized controlled clinical trial
Authors: Lyu Qing-Quan , Zheng Rui-Qiang , Chen Qi-Hong , Yu Jiang-Quan , Shao Jun , Gu Xiao-Hua 
Published: September 2022

Abstract
Background
The combination therapy of hydrocortisone, vitamin C, and thiamine has been proposed as a potential treatment in patients with sepsis and septic shock. However, subsequent trials have reported conflicting results in relation to survival outcomes. Hence, we performed this randomized controlled trial (RCT) to evaluate the efficacy and safety of early combination therapy among adult patients with septic shock.

Methods
This single-center, double-blind RCT enrolled adult patients with diagnosis of septic shock within 12 h from Northern Jiangsu People's Hospital between February 2019 and June 2021. Recruited patients were randomized 1:1 to receive intervention (hydrocortisone 200 mg daily, vitamin C 2 g every 6 h, and thiamine 200 mg every 12 h) or placebo (0.9% saline) for 5 days or until ICU discharge. The primary endpoint was 90-day mortality. The secondary endpoints included mortality at day 28, ICU discharge, and hospital discharge; shock reversal; 72-h Delta SOFA score; ICU-free days, vasopressor-free days, and ventilator support -free days up to day 28; ICU length of stay (LOS) and hospital LOS.

Results
Among 426 patients randomized, a total of 408 patients with septic shock were included in the per-protocol (PP) analysis, of which 203 were assigned to the intervention group and 205 to the placebo group. In the PP population, the primary outcome of 90-day mortality was 39.9% (81/203) and 39.0% (80/205) in the intervention and the placebo groups, respectively, and was not significantly different (P = 0.86). There was no significant difference between two groups in 28-day mortality (36.5% vs. 36.1%, P = 0.94) or the ICU mortality (31.5% vs. 28.8%, P = 0.55) and hospital mortality (34.5% vs. 33.2%, P = 0.78). No other secondary outcomes showed significant differences between two groups, including shock reversal, vasopressor-free days, and ICU LOS. Intention-to-treat analysis included all the 426 patients and confirmed these results (all P > 0.05).

Conclusion
Among adult patients with septic shock, early use of hydrocortisone, vitamin C, and thiamine combination therapy compared with placebo did not confer survival benefits.
Trial registration ClinicalTrials.gov: NCT03872011, registration date: March 12, 2019.

Graphic Abstract
An algorithm for the anchor points of the PPS of the BCC model
Authors: Akbarian Dariush , Bani Ali Akbar , Rostamy-Malkhalifeh Mohsen , Hosseinzadeh Lotfi Farhad 
Published: September 2022

AbstractAnchor points play an important role in data envelopment analysis theory and applications; they delineate the efficient part of the production possibility set (PPS) frontier.
In this paper, we propose an approach for finding the anchor points of the PPS of the Banker, Charnes and Cooper (BCC) model. This approach is based on a variant of super-efficiency models and their duals. The necessary and sufficient conditions for the characterization of the anchor points are also provided.
Finally, the applicability of the proposed model is illustrated with some numerical examples.
Superiority of quadratic over conventional neural networks for classification of gaussian mixture data
Authors: Qi Tianrui , Wang Ge 
Published: September 2022

AbstractTo enrich the diversity of artificial neurons, a type of quadratic neurons was proposed previously, where the inner product of inputs and weights is replaced by a quadratic operation. In this paper, we demonstrate the superiority of such quadratic neurons over conventional counterparts. For this purpose, we train such quadratic neural networks using an adapted backpropagation algorithm and perform a systematic comparison between quadratic and conventional neural networks for classificaiton of Gaussian mixture data, which is one of the most important machine learning tasks. Our results show that quadratic neural networks enjoy remarkably better efficacy and efficiency than conventional neural networks in this context, and potentially extendable to other relevant applications.
Effects of theophylline on human eosinophil functions: comparative study with neutrophil functions
Authors: Yasui Kozo , Agematsu Kazunaga , Shinozaki Koji , Hokibara Sho , Nagumo Haruo , Yamada Shinji , Kobayashi Norimoto , Komiyama Atsushi 
Published: September 2022

AbstractThe understanding of theophylline as a bronchodilator has been reconsidered in recent years. We undertook to determine its immunomodulatory actions in granulocytes and elucidate their mechanism. Preincubation of neutrophils with theophylline (10-5 to 5 × 10-3 M) had a biphasic effect on O2− production stimulated with N-formyl-methionyl-leucyl-phenylalanine or C5a. Theophylline potentiates O2− production via adenosine A2A receptor antagonism induced by receptor-linked agonists from neutrophils, but not from eosinophils. The addition of theophylline caused a significant decline in neutrophil chemotaxis at lower concentrations than those for eosinophil motility. Theophylline reduces neutrophil chemotaxis via adenosine A1 receptor antagonism. At high concentrations, with an intracellular cAMP accumulation as a result of phosphodiesterase (PDE) inhibition, theophylline also exerts an inhibitory effect on the O2− production and chemotaxis of both types of cells. The difference in theophylline’s effect on neutrophils and eosinophils appears to depend on the existence of specific adenosine receptors. Theophylline thus modulates granulocyte functions in association with specific adenosine receptor antagonism and cAMP-PDE inhibition.
Resting and activated T cells induce expression of E-selectin and VCAM-1 by vascular endothelial cells through a contact-dependent but CD40 ligand-independent mechanism
Authors: Yarwood Helen , Mason Justin C , Mahiouz Danuta , Sugars Katharine , Haskard Dorian O 
Published: September 2022

AbstractThis study explored the effect on endothelial cell (EC) activation of contact with T lymphocytes, which occurs during lymphocyte emigration into inflamed tissues. Addition of T cells to umbilical vein or dermal microvascular EC monolayers stimulated expression of EC E-selectin and VCAM-1. This response required direct cell:cell contact, but not T-cell activation. The capacity of resting CD4+ T cells to activate EC was restricted to the CD45RO+ subset and could be enhanced by 6 h prestimulation of T cells with PMA and ionomycin. The EC-stimulating capacity of resting or activated T cells was independent of CD40 ligand. Furthermore, inhibition of TNF-α/β and IL-1α/β, together with CD40 ligand, failed to inhibit EC activation by resting T cells and only inhibited the response to PMA- and ionomycin-activated T cells by 40 ± 18%. Our data suggest that T-cell-EC interactions can lead to EC activation through a novel contact-dependent, but CD40 ligand-independent, mechanism.