bluuebunny/crossref_metadata_2025_split huggingface dataset:
Use of the ReCIVA device in breath sampling of patients with acute breathlessness: a feasibility study
Authors: Holden Karl A. , Ibrahim Wadah , Salman Dahlia , Cordell Rebecca , McNally Teresa , Patel Bharti , Phillips Rachael , Beardsmore Caroline , Wilde Michael , Bryant Luke , Singapuri Amisha , Monks Paul , Brightling Chris , Greening Neil , Thomas Paul , Siddiqui Salman , Gaillard Erol A. 
Published: November 2020

IntroductionInvestigating acute multifactorial undifferentiated breathlessness and understanding the driving inflammatory processes can be technically challenging in both adults and children. Being able to validate noninvasive methods such as breath analysis would be a huge clinical advance. The ReCIVA® device allows breath samples to be collected directly onto sorbent tubes at the bedside for analysis of exhaled volatile organic compounds (eVOCs). We aimed to assess the feasibility of using this device in acutely breathless patients.MethodsAdults hospitalised with acute breathlessness and children aged 5–16 years with acute asthma or chronic stable asthma, as well as healthy adult and child volunteers, were recruited. Breath samples were collected onto sorbent tubes using the ReCIVA® device and sent for analysis by means of two-dimensional gas chromatography-mass spectrometry (GCxGC-MS). The NASA Task Load Index (NASA-TLX) was used to assess the perceived task workload of undertaking sampling from the patient's perspective.ResultsData were available for 65 adults and 61 children recruited. In total, 98.4% of adults and 75.4% of children were able to provide the full target breath sample using the ReCIVA® device. NASA-TLX measurements were available in the adult population with mean values of 3.37 for effort, 2.34 for frustration, 3.8 for mental demand, 2.8 for performance, 3.9 for physical demand and 2.8 for temporal demand.DiscussionThis feasibility study demonstrates it is possible and acceptable to collect breath samples from both adults and children at the bedside for breathomics analysis using the ReCIVA® device.
An audit of COPD: diagnosis and management in general practice
Authors: Hamad Ghassan , Rigby Alan , Morice Alyn H. 
Published: November 2020

IntroductionCOPD is a spectrum of disorders primarily caused by smoking and characterised by progressive, not fully reversible airflow obstruction with a forced expiratory volume in 1 s (FEV1)/forced vital capacity (FVC) ratio <0.7.MethodsFrom November 2016 to March 2017 we audited patients with COPD in five general practices in Hull and East Riding, UK. We looked at deviation from the locally agreed guidelines. We extracted data on severity, exacerbations, medication and eosinophil count.ResultsWe assessed 1088 records. Median age was 70.9 years; 577 (53%) were male. About two-thirds of patients on the COPD register have an FEV1/FVC ratio in the diagnostic range for COPD, however, 388 (36%) out of 1088 had a ratio of ≥0.7. In the patients with a ratio of ≥0.7, 259 (67%) out of 388 had an FEV1<80% of predicted. Patients with frequent exacerbations were more likely to be prescribed inhaled corticosteroid (ICS)-containing inhalers (incidence rate ratio of 2). FEV1% predicted was a poor indicator of exacerbation frequency; however, the presence of elevated blood eosinophil counts (EOS) on at least two occasions was highly predictive of exacerbations. When ICSs, FEV1, EOS were examined in combination, they were highly significant predictors for exacerbations.ConclusionFEV1maybe a more accurate diagnostic parameter in primary care. Historical evidence of blood eosinophilia is a better predictor than FEV1. The combination of biomarkers may prove more accurate indicator of future exacerbation frequency, leading to targeted intervention.
Developing EU environmental standards for the food, drink and milk industries: key environmental issues and data collection
Authors: Giner Santonja Germán , Karlis Panagiotis 
Published: November 2020

Abstract
Background
The European Commission organised the review of the best available techniques reference document for the food, drink and milk industries according to the provisions of the Industrial Emissions Directive (Directive 2010/75/EU). Under this policy, an exchange of information between Member States, industrial organisations, non-governmental organisations promoting the protection of the environment and the European Commission took place.

Results
A crucial part of developing these EU environmental standards was the systematic determination of the key environmental issues of the food, drink and milk sector. Key environmental issues were defined for emissions to air and water, and for energy and water consumption. The key environmental issues were systematically determined using four criteria proposed by the European Commission. Moreover, a data collection procedure was designed and real-plant emissions and consumption data were obtained for the first time from a representative variety of food, drink and milk installations across the European Union.

Conclusions
The development of the EU environmental standards for the food, drink and milk sector are based on a systematic determination of the key environmental issues and on a representative data collection for this sector. This paper also highlights the main normative, organisational and procedural factors addressed during the environmental policy integration carried out to develop these standards.
Characterization of gut microbiota associated with clinical parameters in intrahepatic cholestasis of pregnancy
Authors: Li Rong , Chen Xuehai , Liu Zhongzhen , Chen Yan , Liu Chuan , Ye Lingfei , Xiao Liang , Yang Zhenjun , He Jian , Wang Wen-Jing , Qi Hongbo 
Published: November 2020

Abstract
Background
Intrahepatic cholestasis of pregnancy (ICP) is a liver disorder that specifically occurs in pregnancy. Elevated levels of liver transaminases aspartate aminotransferase, alanine aminotransferase and serum bilirubin levels are common biochemical characteristics in ICP. The disorder is associated with an increased risk of premature delivery and stillbirth. The characterization of the potential microbiota in ICP could go a long way in the prevention and treatment of this pregnancy disease.

Methods
A total of 58 patients were recruited for our study: 27 ICP patients and 31 healthy pregnant subjects with no ICP. The V3 and V4 regions of the 16S rDNA collected from fecal samples of both diseased and control groups were amplified. 16S rRNA gene amplicon sequencing was then performed on gut microbiota. Sequencing data were analyzed and the correlation between components of microbiota and patient ICP status was found. Related metabolic pathways, relative abundance and significantly different operational taxonomic units (OTUs) between ICP and controls were also identified.

Results
Elevated levels of total bile acid, ALT, AST, Dbil and Tbil were recorded or observed in ICP subjects as compared to the control. Gut microbiota in pregnant women was dominated by four major phyla and 27 core genera. PCoA analysis results indicated that there was no significant clustering in Bray–Curtis distance matrices. Our results showed that there was a correlation between specific OTUs and measured clinical parameters of pregnant women. Comparison at the different taxonomy levels revealed high levels of abundance of Blautia and Citrobacter in ICP patients. At the family level, Enterobacteriaceae and Leuconostocaceae were higher in ICP patients. 638 KEGG Orthologs and 138 pathways significantly differed in the two groups. PLS-DA model with VIP plots indicated a total of eight genera and seven species were key taxa in ICP and control groups.

Conclusions
Our research indicated that although there was no significant clustering by PCoA analysis, patients with ICP have increased rare bacteria at different phylogenetic levels. Our results also illustrated that all 638 KEGG Orthologs and 136 in 138 KEGG pathways were less abundant in ICP patients compared to the controls.
Predictors of malnutrition among older adults aged above 65 years in eastern Ethiopia: neglected public health concern
Authors: Abdu Abdu Oumer , Yimamu Imam Dagne , Kahsay Ahmed Ale 
Published: November 2020

Abstract
Background
A nutritional problem, especially under nutrition is one of the common public health problems in older population causing greater mortality and economic loss in developing countries. However, evidences on the risk factors for increased nutritional risk among older population is not well stated in Ethiopia. This study aimed to assess the nutritional status and predictors of malnutrition among older adults (> = 65 years) in Eastern Ethiopia.

Methods
A community-based analytical survey was conducted among randomly selected 592 older people aged above 65 years of age in Harari region. Subjects were selected using multistage sampling pretested Full Mini Nutritional Assessment (MNA) tool was used to classify as malnourished (MNA score < 17), at risk of malnutrition (MNA score of 17 to 23.5) and otherwise normal. Validated geriatric depression scale short form (15 items) was employed to screen for depression. Data were presented using statistical tables, frequency, percentage, and graphs. Ordinary logistic regression was employed to identify predictors of malnutrition and plum method was used to generate odds ratio. The level of statistical significance was declared at P-value less than 5%. Chi-square test, crude and adjusted odds ratio with 95% confidence was reported.

Results
A total of 592 respondents (93.4%) were interviewed. About 306 (51.7%) and 93 (15.7%) were found to be at risk of malnutrition and malnourished respectively. The predicted log odds of being malnourished was higher among those from rural residents (AOR = 2.08: 1.25–3.45), not on working (AOR = 1.31: 95% CI: 0.87–1.95) and did not have health insurance (AOR = 1.58; 95% CI; 0.97–2.58). Those with chronic pain (AOR = 1.70; 95% CI: 1.15–2.51), previous hospitalization (AOR = 1.59: 95% CI: 1.27–2.38) and not able to cover their personal expense (AOR =1.61: 95% CI: 1.12–2.30) were predictors of malnutrition. The relationship between previous hospitalizations with malnutrition among older adults people is moderated significantly by the presence of chronic pain (β = 0.113, p = 0.015).

Conclusions
Malnutrition among old age is a public health concern that needs attention. Economical vulnerability, residence, depression, presence of chronic disease, and hospitalization were important risk factors for malnutrition among old age.
SPectroscOpic prediction of bRain Tumours (SPORT): study protocol of a prospective imaging trial
Authors: Franco Pamela , Würtemberger Urs , Dacca Karam , Hübschle Irene , Beck Jürgen , Schnell Oliver , Mader Irina , Binder Harald , Urbach Horst , Heiland Dieter Henrik 
Published: November 2020

Abstract
Background
The revised 2016 WHO-Classification of CNS-tumours now integrates molecular information of glial brain tumours for accurate diagnosis as well as for the development of targeted therapies. In this prospective study, our aim is to investigate the predictive value of MR-spectroscopy in order to establish a solid preoperative molecular stratification algorithm of these tumours. We will process a 1H MR-spectroscopy sequence within a radiomics analytics pipeline.

Methods
Patients treated at our institution with WHO-Grade II, III and IV gliomas will receive preoperative anatomical (T2- and T1-weighted imaging with and without contrast enhancement) and proton MR spectroscopy (MRS) by using chemical shift imaging (MRS) (5 × 5 × 15 mm3 voxel size). Tumour regions will be segmented and co-registered to corresponding spectroscopic voxels.
Raw signals will be processed by a deep-learning approach for identifying patterns in metabolic data that provides information with respect to the histological diagnosis as well patient characteristics obtained and genomic data such as target sequencing and transcriptional data.

Discussion
By imaging the metabolic profile of a glioma using a customized chemical shift 1H MR spectroscopy sequence and by processing the metabolic profiles with a machine learning tool we intend to non-invasively uncover the genetic signature of gliomas. This work-up will support surgical and oncological decisions to improve personalized tumour treatment.

Trial registration

This study was initially registered under another name and was later retrospectively registered under the current name at the German Clinical Trials Register (DRKS) under DRKS00019855.
Development and validation of an RNA binding protein-associated prognostic model for hepatocellular carcinoma
Authors: Wang Min , Huang Shan , Chen Zefeng , Han Zhiwei , Li Kezhi , Chen Chuang , Wu Guobin , Zhao Yinnong 
Published: November 2020

Abstract
Background
Hepatocellular carcinoma (HCC) is among the deadliest forms of cancer. While RNA-binding proteins (RBPs) have been shown to be key regulators of oncogenesis and tumor progression, their dysregulation in the context of HCC remains to be fully characterized.

Methods
Data from the Cancer Genome Atlas - liver HCC (TCGA-LIHC) database were downloaded and analyzed in order to identify RBPs that were differentially expressed in HCC tumors relative to healthy normal tissues. Functional enrichment analyses of these RBPs were then conducted using the GO and KEGG databases to understand their mechanistic roles. Central hub RBPs associated with HCC patient prognosis were then detected through Cox regression analyses, and were incorporated into a prognostic model. The prognostic value of this model was then assessed through the use of Kaplan-Meier curves, time-related ROC analyses, univariate and multivariate Cox regression analyses, and nomograms. Lastly, the relationship between individual hub RBPs and HCC patient overall survival (OS) was evaluated using Kaplan-Meier curves. Finally, find protein-coding genes (PCGs) related to hub RBPs were used to construct a hub RBP-PCG co-expression network.

Results
In total, we identified 81 RBPs that were differentially expressed in HCC tumors relative to healthy tissues (54 upregulated, 27 downregulated). Seven prognostically-relevant hub RBPs (SMG5, BOP1, LIN28B, RNF17, ANG, LARP1B, and NR0B1) were then used to generate a prognostic model, after which HCC patients were separated into high- and low-risk groups based upon resultant risk score values. In both the training and test datasets, we found that high-risk HCC patients exhibited decreased OS relative to low-risk patients, with time-dependent area under the ROC curve values of 0.801 and 0.676, respectively. This model thus exhibited good prognostic performance. We additionally generated a prognostic nomogram based upon these seven hub RBPs and found that four other genes were significantly correlated with OS.

Conclusion
We herein identified a seven RBP signature that can reliably be used to predict HCC patient OS, underscoring the prognostic relevance of these genes.
Modelling health belief predictors of oral health and dental anxiety among adolescents based on the Health Belief Model: a cross-sectional study
Authors: Xiang Bilu , Wong Hai Ming , Perfecto Antonio P. , McGrath Colman P. J. 
Published: November 2020

Abstract
Background
A vicious cycle exists between dental anxiety, oral health behaviors and oral health status. Based on previous research, psychological factors of the Health Belief Model (HBM) are associated with oral health behaviors and oral health, and are likely involved in this cycle. However, little is known about the relationship between HBM factors and dental anxiety of adolescents. The purpose of this cross-sectional study was to investigate the relationship between health belief factors, oral health and dental anxiety based on the constructs of the HBM.

Methods
1207 Grade 2 students from 12 secondary schools in Hong Kong were randomly selected and measured for the decayed, missing and filled permanent teeth (DMFT) index. Data for oral health behaviors, HBM constructs and dental anxiety were collected using questionnaires. The hierarchical entry of explanatory variables into logistic regression models estimating prevalence odds ratios (POR) were analyzed and 95% confidence intervals (95% CI) for DMFT and dental anxiety were generated. Path analysis was used to evaluate the appropriateness of the HBM as predictors for oral health behaviors, DMFT and dental anxiety.

Results
Based on the full model analysis, individuals with higher perceived susceptibility of oral diseases (POR: 1.33, 95% CI: 1.14–1.56) or girls or whose mother received higher education level were likelier to have a DMFT≥1, while those with higher perceived severity (POR: 1.31, 95%CI: 1.09–1.57), flossing weekly, DMFT≥1 or higher general anxiety level statistically increases the possibility of dental anxiety. The results from path analysis indicated that stronger perceived susceptibility, greater severity of oral diseases, less performing of oral health behaviors and a higher score of DMFT were directly related to increased dental anxiety level. Other HBM variables, such as perceived susceptibility, self-efficacy beliefs, cues to action and perceived barriers, might influence dental anxiety through oral health behaviors and caries status.

Conclusions
Clarifying the propositional structures of the HBM may help the future design of theory-based interventions in reducing dental anxiety and preventing dental caries.
Individual and contextual factors associated with disposal of children’s stools in Papua New Guinea: evidence from the 2016–2018 demographic and health survey
Authors: Seidu Abdul-Aziz , Agbaglo Ebenezer , Ahinkorah Bright Opoku , Dadzie Louis Kobina , Bukari Ishmael , Ameyaw Edward Kwabena , Yaya Sanni 
Published: November 2020

Abstract
Background
Proper sanitation has been one of the topmost priorities on the global public health agenda. In the past few decades, sanitation programs targeting households have often paid little attention to the disposal of children’s stools. We assessed the individual and contextual factors associated with disposal of children’s faeces in Papua New Guinea.

Methods
The data used for this study forms part of the 2016–2018 Papua New Guinea Demographic and Health Survey (PDHS). For this study, we focused on women with children less than five years (n = 2095). Both descriptive and inferential analyses were carried out. Descriptive statistics were used to summarize the data, using frequency counts and percentages. The inferential analysis used multilevel logistic regression models to investigate the individual and contextual factors associated with disposal of children’s stools. These models were presented as adjusted odds ratio (AORs), together with their corresponding 95% confidence intervals. Statistical significance was set at p < 0.05.

Results
More than half (56%) of the women had disposed of their children’s stools unsafely. With the individual level factors, the results showed that women with children < 12 months [AOR =1.71; CI = 1.28–2.29] and women aged 20–24 [AOR =2.58; CI = 1.24–5.37], 35–39 [AOR =2.34; CI = 1.09–5.04], and 40 years and above [AOR =2.51; CI = 1.09–5.79] were more likely to practice unsafe disposal of children’s stool. The odds of unsafe disposal of faeces was also higher among women who visited the health facility for child diarrhea [AOR =1.69; CI = 1.25–2.28]. With the contextual factors, the odds of unsafe disposal of children’s stool was higher among women who lived in the Southern region [AOR =4.82; CI = 2.08–11.18], those who lived in male-headed households [AOR =1.79; CI = 1.19–2.70], and those who had unimproved toilet facilities [AOR =1.96; CI = 1.39–2.76]. On the contrary, women with unimproved source of drinking water were less likely to dispose of their children’s stool unsafely [AOR =0.54; CI = 0.35–0.83].

Conclusion
Both individual and contextual factors predict unsafe disposal of children’s faeces in Papua New Guinea. It is recommended that sanitation programs should focus on behavioral change and not only on the extension of water and improved toilet facilities. Such programs should also focus on both individual and contextual factors of women.
Associations of outdoor activity and screen time with adiposity: findings from rural Chinese adolescents with relatively low adiposity risks
Authors: Zhang Youjie , Zhang Xiaofan , Li Jun , Zhong Hua , Pan Chen-Wei 
Published: November 2020

Abstract
Background
Whether and to what extent outdoor activity and screen time are relevant to adiposity among rural adolescents remain largely unknown as most of relevant evidence was generated from high-income countries and urban areas. This study aimed to investigate associations of outdoor activity and screen time with adiposity among early adolescents living in rural southwest China.

Methods
In this cross-sectional study, seventh graders (n = 2264) were recruited from 10 middle schools of a rural county. Overweight and obesity was assessed using adolescents’ body mass index and waist circumference. Adolescents’ outdoor activity and screen time were measured using self-reported daily time spending on outdoor activity, watching TV, playing video games, and computers on weekdays and weekends, respectively.

Results
The prevalence of overweight/obesity and high waist circumferences were 8.0 and 4.9% and were higher among those from one-child families and with parents having high school or higher education and whose fathers were not farmers. Adolescents who did not have ≥1 h outdoor activity on weekdays were more likely to be overweight/obese (OR: 1.86, 95% CI: 1.30, 2.66) and have high waist circumferences (OR: 2.22, 95%CI: 1.39, 3.57). Adolescents who had > 2 h screen time on weekends were more likely to have high waist circumferences (OR: 2.08, 95% CI: 1.14, 3.80). Lack of outdoor activity and excessive screen time also showed synergistic effects on overweight/obesity (OR: 1.93. 95% CI: 1.15, 3.24) and high waist circumferences (OR: 3.02, 95% CI: 1.54, 5.94).

Conclusions
Lack of outdoor activity and excessive screen time were relevant to adiposity among rural Chinese adolescents even when the obesity prevalence was low. Efforts to promote active lifestyles may help prevent rural adolescents from losing their advantage in the era of the global obesity epidemic.