bluuebunny/crossref_metadata_2025_split huggingface dataset:
Natural killer cell-related gene signature predicts malignancy of glioma and the survival of patients
Authors: Li Chenglong , Liu Fangkun , Sun Lunquan , Liu Zhixiong , Zeng Yu 
Published: March 2022

Abstract
Background
Natural killer (NK) cells-based therapies are one of the most promising strategies against cancer. The aim of this study is to investigate the natural killer cell related genes and its prognostic value in glioma.

Methods
The Chinese Glioma Genome Atlas (CGGA) was used to develop the natural killer cell-related signature. Risk score was built by multivariate Cox proportional hazards model. A cohort of 326 glioma samples with whole transcriptome expression data from the CGGA database was included for discovery. The Cancer Genome Atlas (TCGA) datasets was used for validation. GO and KEGG were used to reveal the biological process and function associated with the natural killer cell-related signature. We also collected the clinical pathological features of patients with gliomas to analyze the association with tumor malignancy and patients’ survival.

Results
We screened for NK-related genes to build a prognostic signature, and identified the risk score based on the signature. We found that NK-related risk score was independent of various clinical factors. Nature-killer cell gene expression is correlated with clinicopathological features of gliomas. Innovatively, we demonstrated the tight relation between the risk score and immune checkpoints, and found NK-related risk score combined with PD1/PDL1 patients could predict the patient outcome.

Conclusion
Natural killer cell-related gene signature can predict malignancy of glioma and the survival of patients, these results might provide new view for the research of glioma malignancy and individual immunotherapy.
Combination of ferroptosis and pyroptosis to construct a prognostic classifier and predict immune landscape, chemotherapeutic efficacy and immunosuppressive molecules in hepatocellular carcinoma
Authors: Xu Lijun , Zheng Qing , Liu Wenwen 
Published: March 2022

Abstract
Background
The induction of ferroptosis and pyroptosis has been highlighted as a novel approach to decide cancer cell fate. However, few studies have systematically explored the role of combining these two novel cell death modalities in hepatocellular carcinoma (HCC).

Methods
Ferroptosis-related genes (FRGs) and pyroptosis-related genes (PRGs) were retrieved and downloaded from FerrDb and GeneCards database, respectively. A prognostic classifier integrating with prognostic differentially expressed FRGs and PRGs was constructed by the least absolute shrinkage and selection operator (LASSO) algorithm in the TCGA-LIHC dataset and verified using the ICGC (LIRI-JP) dataset.

Results
A total of 194 differentially expressed FRGs and PRGs were identified and named as differentially expressed genes (DEGs) and, out of them 79 were found dramatically correlated with prognosis in HCC. Based on 13 key DEGs with prognostic value, a novel expression signature was constructed and used to stratify HCC patients into 2 groups. Kaplan–Meier analysis demonstrated that high-risk patients had a more dismal prognosis. Receiver operating characteristic curve (ROC) and multivariate Cox analysis confirmed its predictive power and independent characteristic. Immune profile analysis demonstrated that high-risk group had prominent upregulation of immunosuppressive cells, including macrophages, Th2_cells and Treg. The correlation analysis between this signature and immunosuppressive molecules, Immunophenoscore (IPS) and chemotherapeutic efficacy demonstrated that low-risk group had a higher IC50 of cisplatin, mitomycin and doxorubicin and negatively related with CTLA4, HAVCR2, LAG3, PDCD1, TIGIT and ICIs treatment represented by CTLA4-/PD-1-, CTLA4 + /PD-1-, CTLA4-/PD-1 + .

Conclusions
In this research, a novel expression signature was identified based on FRGs and PRGs in HCC, and this signature could be used to predict prognosis and select patients potentially benefiting from immunotherapies and chemotherapy.
A cross sectional assessment of basic needs insecurity prevalence and associated factors among college students enrolled at a large, public university in the Southeastern U.S
Authors: Robbins Mary Kate , Spence Marsha , Steeves Elizabeth Anderson 
Published: March 2022

Abstract
Background
There is increasing evidence of problematic rates of food insecurity among college students, yet few studies have gone beyond this to examine housing insecurity rates or rates of basic need insecurity (BNI), which is defined as having both food and housing insecurity, among the postsecondary population. BNI may have significant impacts on the mental and social health, and academic outcomes of college students, yet remains understudied. The researchers of this study are among the first to assess the prevalence of food insecurity, housing insecurity, and basic needs insecurity among college students enrolled at a large, public university in the Southeast and to identify factors associated with experiencing food, housing, and basic needs insecurity.

Methods
A cross-sectional online survey was conducted at a large, public university in the Southeast United States. All eligible, enrolled students (n = 23,444) were asked to complete an online survey, 2634 responded (11.2% response rate). Multivariate logistic regression models were used to assess relationships between demographic and financial factors and the outcomes of interest (food, housing, and basic needs insecurity).

Results
High rates of food insecurity (48.5%), housing insecurity (66.1%), and basic needs insecurity (37.1%) were identified. After controlling for confounders, factors that were significantly associated with increased odds of students having basic needs insecurity included previous food insecurity (p < 0.001; Odds Ratio (OR) = 3.36; Confidence Interval (CI) = 2.64–4.28), being employed (p < 0.001, OR = 1.70; CI = 1.34–2.17), not receiving family financial support (p < 0.001, OR = 1.61; CI = 1.30–2.00), and living off-campus (p < 0.001, OR = 1.67; CI = 1.25–2.22). Juniors (p < 0.001, OR = 1.78; CI = 1.31–2.42), seniors (p < 0.001, OR = 2.06; CI = 1.52–2.78), Masters (p = 0.004, OR = 1.68; CI = 1.18–2.40), and PhD or EdD (p = 0.029, OR = 1.55; CI = 1.05–2.31) students were significantly more likely to experience basic needs insecurity than sophomore students.

Conclusions
This research identifies high rates of food, housing, and basic needs insecurity among college students enrolled at a large, public university. Financial factors such as being food insecure prior to attending college, working during college, and not having familial financial support were all related to BNI in this sample. Students who were more advanced in their education experienced more BNI than less advanced students. Innovative interventions with enhanced BNI measures, for example, partnering with financial aid offices to screen and refer students to food resources, are likely needed to address this multi-faceted problem.
Longitudinal changes in COVID-19 vaccination intent among South African adults: evidence from the NIDS-CRAM panel survey, February to May 2021
Authors: Burger Ronelle , Köhler Timothy , Golos Aleksandra M. , Buttenheim Alison M. , English René , Tameris Michele , Maughan-Brown Brendan 
Published: March 2022

Abstract
Background
COVID-19 vaccine hesitancy has threatened the ability of many countries worldwide to contain the pandemic. Given the severe impact of the pandemic in South Africa and disruptions to the roll-out of the vaccine in early 2021, slower-than-expected uptake is a pressing public health challenge in the country. We examined longitudinal changes in COVID-19 vaccination intent among South African adults, as well as determinants of intent to receive a vaccine.

Methods
We used longitudinal data from Wave 4 (February/March 2021) and Wave 5 (April/May 2021) of the National Income Dynamics Study: Coronavirus Rapid Mobile Survey (NIDS-CRAM), a national and broadly representative panel survey of adults in South Africa. We conducted cross-sectional analyses on aggregate and between-group variation in vaccination intent, examined individual-level changes between waves, and modeled demographic predictors of intent.

Results
We analysed data for 5629 (Wave 4; 48% male, mean age 41.5 years) and 5862 (Wave 5; 48% male, mean age 41.6 years) respondents. Willingness to get a COVID-19 vaccine significantly increased from 70.8% (95% CI: 68.5–73.1) in Wave 4 to 76.1% (95% CI: 74.2–77.8) in Wave 5. Individual-level analyses indicated that only 6.6% of respondents remained strongly hesitant between survey waves. Although respondents aged 18–24 years were 8.5 percentage points more likely to report hesitancy, hesitant respondents in this group were 5.6 percentage points more likely to change their minds by Wave 5. Concerns about rushed testing and safety of the vaccines were frequent and strongly-held reasons for hesitancy.

Conclusions
Willingness to receive a COVID-19 vaccine has increased among adults in South Africa, and those who were entrenched in their reluctance make up a small proportion of the country’s population. Younger adults, those in formal housing, and those who trusted COVID-19 information on social media were more likely to be hesitant. Given that stated vaccination intent may not translate into behaviour, our finding that three-quarters of the population were willing to accept the vaccine may reflect an upper bound. Vaccination promotion campaigns should continue to frame vaccine acceptance as the norm and tailor strategies to different demographic groups.
Time trend analysis of leisure-time activity participation among young-old adults in China 2002–2018
Authors: Fong Joelle H. , Feng Qiushi , Zhang Wei , Chen Huashuai 
Published: March 2022

Abstract
Background
To examine the time trends of leisure activity engagement among young-old adults aged 65–74 in China over a 16-year period.

Methods
Data for a nationally representative sample of young-old adults was sourced from the 2002–2018 Chinese Longitudinal Healthy Longevity Survey (N = 9504). Generalized estimating equations regressions were implemented to assess temporal trends for 10 different leisure-time activities. We also evaluated time trends for solitary versus social leisure-time activities.

Results
Young-old adults were less likely to engage in any form of social activities (e.g. participate in social events) over time, controlling for other confounders such as age, sex, education, income, and health characteristics. Trends in outdoor activities participation and tourism also declined over 2002-2014, but reversed in 2018. In contrast, solitary leisure activities (e.g. watching TV) became more popular. There was a significant spike in the likelihood of keeping pets from 2011 onwards, especially among urbanites.

Conclusions
The future elderly in China have tended towards home-bound and solitary leisure activities over time, which warrants policy attention and public health interventions to reverse such trends.
Online consultation in an orthopedic trauma surgery outpatient clinic: is there a learning curve?
Authors: Hepp Pierre , Osterhoff Georg , Melcher Peter , Henkelmann Ralf , Theopold Jan 
Published: March 2022

Abstract
Background
In the context of the German contact restrictions due to the COVID-19 pandemic of March 2020, an online-based consultation system was established in our university orthopedic outpatient department to maintain patient care. As a basis for contact-minimizing communication, this was continued after the contact restrictions were lifted. The aim of this prospective pilot study was to assess the effectiveness, technical feasibility, and patient flow in this system under lockdown conditions and in the period afterwards.

Methods
The evaluation took place from the beginning of the first lockdown on March 13, 2020, until May 31, 2021. For each patient encounter, the quality of the sound and video connections was documented. The outcomes of the consultations were recorded. Four categories were distinguished: 1) no follow-up necessary, 2) follow-up via online consultation, 3) referral for surgical therapy, and 4) follow-up in the outpatient clinic for physical examination.
A comparison was made between an early cohort right after implementation of the online consultation and and a late cohort after establishment of the consultation.

Results
There were 408 patient encounters via online consultation. A total of 360 (88%) consultations were uninterrupted. Initial presentations accounted for 124 (30%) consultations. In 75 (18%) patients, no further follow-up was necessary. Follow-up via online consultation was scheduled in 82 (20%) patients, direct referral for surgery was made in 86 (21%) patients, and a follow-up for physical examination was arranged in 165 (40%) patients. When comparing the early and late cohort, there was no difference in the duration of the conversation (p = 0.23). A significant difference was found in the type of further treatment. In the late cohort, conservative therapy was used more often (p < 0.01), resulting in a lower number of follow-up visits for clinical examination (p < 0.01).

Conclusion
While a definite decision for further procedure was possible solely by online consultation in a large percentage of cases, 40% of patients still needed an additional in-person consultation for physical examination. A learning curve could be observed regarding the selection of patients suited for online consultation. Overall, online consultation is a useful measure to manage patient volume and to visibly support direct doctor-patient contact.
Functional comparison of pacifiers using finite element analysis
Authors: Tesini David A. , Hu Linda C. , Usui Brent H. , Lee Christopher L. 
Published: March 2022

Abstract
Background
Pacifiers have been shown to affect maxillary growth related to the anatomic structure of the palate and forces placed upon it during sucking. This study compares and evaluates the mechanical behavior of pacifiers of different design and size (i.e., fit), identified by brand and size, positioned in age-specific palatal models with respect to both contact area and force when subjected to peristaltic tongue function and intraoral pressure related to non-nutritive sucking.

Methods
Nonlinear finite element analyses were used to simulate dynamic mechanical interaction between the pacifiers and palates. Time-varying, external pressure loads were applied which represent intraoral pressure arising from non-nutritive sucking and peristaltic behavior of the tongue. The silicone rubber pacifier bulb was represented using a hyperelastic material model.

Results
Results from the finite element analyses include deformation, stress, strain, contact area, and contact force. Mechanical interaction was evaluated in terms of the spatial distribution of the contact area and force between the pacifier and the palate. The resulting palatal interaction profiles were quantitatively compared to assess how pacifier fit specifically affects the support provided to two areas of the palate, the palatal vault and the Tektal wall.

Conclusions
Pacifiers interact with the palate differently based on their fit (i.e., design and size) regardless of whether they are labeled conventional or orthodontic. Finite element analysis is an effective tool for evaluating how a pacifier’s design affects functional mechanics and for providing guidance on biometric sizing.
Machine learning based forecast for the prediction of inpatient bed demand
Authors: Tello Manuel , Reich Eric S. , Puckey Jason , Maff Rebecca , Garcia-Arce Andres , Bhattacharya Biplab Sudhin , Feijoo Felipe 
Published: March 2022

Abstract
Background
Overcrowding is a serious problem that impacts the ability to provide optimal level of care in a timely manner. High patient volume is known to increase the boarding time at the emergency department (ED), as well as at post-anesthesia care unit (PACU). Furthermore, the same high volume increases inpatient bed transfer times, which causes delays in elective surgeries, increases the probability of near misses, patient safety incidents, and adverse events.

Objective
The purpose of this study is to develop a Machine Learning (ML) based strategy to predict weekly forecasts of the inpatient bed demand in order to assist the resource planning for the ED and PACU, resulting in a more efficient utilization.

Methods
The data utilized included all adult inpatient encounters at Geisinger Medical Center (GMC) for the last 5 years. The variables considered were class of inpatient encounter, observation, or surgical overnight recovery (SORU) at the time of their discharge. The ML based strategy is built using the K-means clustering method and the Support Vector Machine Regression technique (K-SVR).

Results
The performance obtained by the K-SVR strategy in the retrospective cohort amounts to a mean absolute percentage error (MAPE) that ranges between 0.49 and 4.10% based on the test period. Additionally, results present a reduced variability, which translates into more stable forecasting results.

Conclusions
The results from this study demonstrate the capacity of ML techniques to forecast inpatient bed demand, particularly using K-SVR. It is expected that the implementation of this model in the workflow of bed capacity management will create efficiencies, which will translate in a more reliable, inexpensive and timely care for patients.
Providing telenursing care for victims: a simulated study for introducing of possibility nursing interventions in disasters
Authors: Nejadshafiee Mahdiye , Nekoei-Moghadam Mahmoud , Bahaadinbeigy Kambiz , Khankeh Hamidreza , Sheikhbardsiri Hojjat 
Published: March 2022

AbstractIntroductionUncertainty occurrence of disasters requires special attention and a shortage of health care specialists is a challenge for health care systems; therefore, the use of telenursing care during a disaster is an appropriate way to provide care. This study aimed to investigate telenursing operational possibilities in disasters.MethodsA cross-sectional study was performed by implementing a functional exercise (Drill) for the possibility of nursing interventions in the response phase to disasters at Kerman University of Medical Sciences in 2021. Two evaluators examined and scored the possibility of providing telenursing care using a researcher-made checklist and we surveyed Inter-rater agreement between two evaluators by Cohen's kappa coefficient. Data were analyzed using descriptive tests and SPSS 20 software.ResultsFindings showed that implementation of telenursing care would be helpful in future disasters. The scores received from assessment of the evaluation checklist for this simulated exercise program by the first evaluator was 83.25 and for the second evaluator was 72.00. The results of the study showed that the mean score of the possibility of telenursing in disasters was at a high level 77.50. Thus, the quality of the telenursing care in simulated conditions was satisfactory.ConclusionToday, disaster management is almost impossible without using new technologies. This study found that due to the lack of specialized nursing staff in the deprived areas affected by disasters, the most important way to provide health care for a large group of the population is to develop effective health services so that everyone can use these services equally and fairly.
Effects of repeated infections with non-typeable Haemophilus influenzae on lung in vitamin D deficient and smoking mice
Authors: Serré Jef , Tanjeko Ajime Tom , Mathyssen Carolien , Heigl Tobias , Sacreas Annelore , Cook Dana Paulina , Verbeken Erik , Maes Karen , Verhaegen Jan , Pilette Charles , Vanoirbeek Jeroen , Gysemans Conny , Mathieu Chantal , Vanaudenaerde Bart , Janssens Wim , Gayan-Ramirez Ghislaine 
Published: March 2022

Abstract
Background
In chronic obstructive pulmonary disease (COPD), exacerbations cause acute inflammatory flare-ups and increase the risk for hospitalization and mortality. Exacerbations are common in all disease stages and are often caused by bacterial infections e.g., non-typeable Heamophilus influenzae (NTHi). Accumulating evidence also associates vitamin D deficiency with the severity of COPD and exacerbation frequency. However, it is still unclear whether vitamin D deficiency when combined with cigarette smoking would worsen and prolong exacerbations caused by repeated infections with the same bacterial strain.

Methods
Vitamin D sufficient (VDS) and deficient (VDD) mice were exposed to nose-only cigarette smoke (CS) for 14 weeks and oropharyngeally instilled with NTHi at week 6, 10 and 14. Three days after the last instillation, mice were assessed for lung function, tissue remodeling, inflammation and immunity. The impact of VDD and CS on inflammatory cells and immunoglobulin (Ig) production was also assessed in non-infected animals while serum Ig production against NTHi and dsDNA was measured in COPD patients before and 1 year after supplementation with Vitamin D3.

Results
VDD enhanced NTHi eradication, independently of CS and complete eradication was reflected by decreased anti-NTHi Ig’s within the lung. In addition, VDD led to an increase in total lung capacity (TLC), lung compliance (Cchord), MMP12/TIMP1 ratio with a rise in serum Ig titers and anti-dsDNA Ig’s. Interestingly, in non-infected animals, VDD exacerbated the CS-induced anti-NTHi Ig’s, anti-dsDNA Ig’s and inflammatory cells within the lung. In COPD patients, serum Ig production was not affected by vitamin D status but anti-NTHi IgG increased after vitamin D3 supplementation in patients who were Vitamin D insufficient before treatment.

Conclusion
During repeated infections, VDD facilitated NTHi eradication and resolution of local lung inflammation through production of anti-NTHi Ig, independently of CS whilst it also promoted autoantibodies. In COPD patients, vitamin D supplementation could be protective against NTHi infections in vitamin D insufficient patients. Future research is needed to decipher the determinants of dual effects of VDD on adaptive immunity.

Trail registration

ClinicalTrials, NCT00666367. Registered 23 April 2008, https://www.clinicaltrials.gov/ct2/show/study/NCT00666367.