bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Symptom Monitoring with Feedback Trial (SWIFT): protocol for a registry-based cluster randomised controlled trial in haemodialysis
Authors: Greenham Lavern , Bennett Paul N. , Dansie Kathryn , Viecelli Andrea K. , Jesudason Shilpanjali , Mister Rebecca , Smyth Brendan , Westall Portia , Herzog Samuel , Brown Chris , Handke William , Palmer Suetonia C. , Caskey Fergus J. , Couchoud Cecile , Simes John , McDonald Stephen P. , Morton Rachael L. 
Published: May 2022

Abstract
Background
Kidney failure prevalence is increasing worldwide. Haemodialysis, peritoneal dialysis or kidney transplantation are undertaken to extend life with kidney failure. People receiving haemodialysis commonly experience fatigue, pain, nausea, cramping, itching, sleeping difficulties, anxiety and depression. This symptom burden contributes to poor health-related quality of life (QOL) and is a major reason for treatment withdrawal and death. The Symptom monitoring WIth Feedback Trial (SWIFT) will test the hypothesis that regular symptom monitoring with feedback to people receiving haemodialysis and their treating clinical team can improve QOL.

Methods
We are conducting an Australia and New Zealand Dialysis and Transplant (ANZDATA) registry-based cluster randomised controlled trial to determine the clinical- and cost-effectiveness at 12 months, of 3-monthly symptom monitoring using the Integrated Palliative Outcome Scale-Renal (IPOS-Renal) survey with clinician feedback, compared with usual care among adults treated with haemodialysis. Participants complete symptom scoring using a tablet, which are provided to participants and to clinicians. The trial aims to recruit 143 satellite haemodialysis centres, (up to 2400 participants). The primary outcome is change in health-related QOL, as measured by EuroQol 5-Dimension, 5-Level (EQ-5D-5L) instrument. Secondary outcomes include overall survival, symptom severity (including haemodialysis-associated fatigue), healthcare utilisation and cost-effectiveness.

Discussion
SWIFT is the first registry-based trial in the Australian haemodialysis population to investigate whether regular symptom monitoring with feedback to participants and clinicians improves QOL. SWIFT is embedded in the ANZDATA Registry facilitating pragmatic recruitment from public and private dialysis clinics, throughout Australia. SWIFT will inform future collection, storage and reporting of patient-reported outcome measures (PROMs) within a clinical quality registry. As the first trial to rigorously estimate the efficacy and cost-effectiveness of routine PROMs collection and reporting in haemodialysis units, SWIFT will provide invaluable information to health services, clinicians and researchers working to improve the lives of those with kidney failure.

Trial registration
Australian New Zealand Clinical Trials Registry ACTRN12620001061921. Registered on 16 October 2020
Transcriptome analysis of Aedes albopictus midguts infected by dengue virus identifies a gene network module highly associated with temperature
Authors: Liu Zhuanzhuan , Xu Ye , Li Yudi , Xu Shihong , Li Yiji , Xiao Ling , Chen Xiaoguang , He Cheng , Zheng Kuiyang 
Published: May 2022

Abstract
Background
Dengue is prevalent worldwide and is transmitted by Aedes mosquitoes. Temperature is a strong driver of dengue transmission. However, little is known about the underlying mechanisms.

Methods
Aedes albopictus mosquitoes exposed or not exposed to dengue virus serotype 2 (DENV-2) were reared at 23 °C, 28 °C and 32 °C, and midguts and residual tissues were evaluated at 7 days after infection. RNA sequencing of midgut pools from the control group, midgut breakthrough group and midgut nonbreakthrough group at different temperatures was performed. The transcriptomic profiles were analyzed using the R package, followed by weighted gene correlation network analysis (WGCNA) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis to identify the important molecular mechanisms regulated by temperature.

Results
The midgut infection rate and midgut breakthrough rate at 28 °C and 32 °C were significantly higher than those at 23 °C, which indicates that high temperature facilitates DENV-2 breakthrough in the Ae. albopictus midgut. Transcriptome sequencing was performed to investigate the antiviral mechanism in the midgut. The midgut gene expression datasets clustered with respect to temperature, blood-feeding and midgut breakthrough. Over 1500 differentially expressed genes were identified by pairwise comparisons of midguts at different temperatures. To assess key molecules regulated by temperature, we used WGCNA, which identified 28 modules of coexpressed genes; the ME3 module correlated with temperature. KEGG analysis indicated that RNA degradation, Toll and immunodeficiency factor signaling and other pathways are regulated by temperature.

Conclusions
Temperature affects the infection and breakthrough of Ae. albopictus midguts invaded by DENV-2, and Ae. albopictus midgut transcriptomes change with temperature. The candidate genes and key pathways regulated by temperature provide targets for the prevention and control of dengue.

Graphical abstract
High risk of depression, anxiety, and an unfavorable complex comorbidity profile is associated with SLE: a nationwide patient-level study
Authors: Kósa Fruzsina , Kunovszki Péter , Gimesi-Országh Judit , Kedves Melinda , Szabó Melinda , Karyekar Chetan S. , Nagy György 
Published: May 2022

AbstractObjectivesThe aim of this national population-based, retrospective database study is to compare the comorbidity profiles of systemic lupus erythematosus (SLE) patients and general population controls matched for age, gender, and region and assess the risk of depression or anxiety when controlled for age, gender and adjusted for the Charlson Comorbidity Index (CCI).MethodsClaims data of 1051 patients diagnosed with SLE (full population between January 01, 2011, and December 31, 2014) from the Hungarian National Health Insurance Fund have been analyzed against matched controls (1:5 ratio) with a follow-up of 30 months. The first record of SLE diagnosis was considered the diagnosis date. The odds ratio (OR) and 99.9% confidence interval (CI) of having depression or anxiety among patients with SLE vs. controls have been assessed using logistic regression models.ResultsSLE patients report more comorbidities than the matched general population both in pre- and post-index periods (mean CCI 1.79 vs. 1.15 and 2.78 vs. 1.22 [bothp<0.001], respectively). Both SLE patients and controls diagnosed with depression or anxiety had significantly higher CCI than those without comorbid depression or anxiety (p<0.001). However, SLE patients had a twofold higher risk of depression or anxiety than matched controls when controlled for age, gender, and adjusted for CCI.ConclusionOur analysis indicates the enormity of comorbidity burden in SLE, especially that of anxiety and depression. The size and complexity of the comorbidity burden emphasizes the importance of early diagnosis and intervention with comprehensive modalities incorporating attention to comorbidities in SLE patients.
Identification of biomarkers by machine learning classifiers to assist diagnose rheumatoid arthritis-associated interstitial lung disease
Authors: Qin Yan , Wang Yanlin , Meng Fanxing , Feng Min , Zhao Xiangcong , Gao Chong , Luo Jing 
Published: May 2022

Abstract
Background
This study aimed to search for blood biomarkers among the profiles of patients with RA-ILD by using machine learning classifiers and probe correlations between the markers and the characteristics of RA-ILD.

Methods
A total of 153 RA patients were enrolled, including 75 RA-ILD and 78 RA-non-ILD. Routine laboratory data, the levels of tumor markers and autoantibodies, and clinical manifestations were recorded. Univariate analysis, least absolute shrinkage and selection operator (LASSO), random forest (RF), and partial least square (PLS) were performed, and the receiver operating characteristic (ROC) curves were plotted.

Results
Univariate analysis showed that, compared to RA-non-ILD, patients with RA-ILD were older (p < 0.001), had higher white blood cell (p = 0.003) and neutrophil counts (p = 0.017), had higher erythrocyte sedimentation rate (p = 0.003) and C-reactive protein (p = 0.003), had higher levels of KL-6 (p < 0.001), D-dimer (p < 0.001), fibrinogen (p < 0.001), fibrinogen degradation products (p < 0.001), lactate dehydrogenase (p < 0.001), hydroxybutyrate dehydrogenase (p < 0.001), carbohydrate antigen (CA) 19–9 (p < 0.001), carcinoembryonic antigen (p = 0.001), and CA242 (p < 0.001), but a significantly lower albumin level (p = 0.003). The areas under the curves (AUCs) of the LASSO, RF, and PLS models attained 0.95 in terms of differentiating patients with RA-ILD from those without. When data from the univariate analysis and the top 10 indicators of the three machine learning models were combined, the most discriminatory markers were age and the KL-6, D-dimer, and CA19-9, with AUCs of 0.814 [95% confidence interval (CI) 0.731–0.880], 0.749 (95% CI 0.660–0.824), 0.749 (95% CI 0.660–0.824), and 0.727 (95% CI 0.637–0.805), respectively. When all four markers were combined, the AUC reached 0.928 (95% CI 0.865–0.968). Notably, neither the KL-6 nor the CA19-9 level correlated with disease activity in RA-ILD group.

Conclusions
The levels of KL-6, D-dimer, and tumor markers greatly aided RA-ILD identification. Machine learning algorithms combined with traditional biostatistical analysis can diagnose patients with RA-ILD and identify biomarkers potentially associated with the disease.
An updated systematic review of interventions to increase awareness of mental health and well-being in athletes, coaches, officials and parents
Authors: Breslin Gavin , Shannon Stephen , Cummings Michael , Leavey Gerard 
Published: May 2022

AbstractBackgroundInterventions designed to increase mental health awareness in sport have grown substantially in the last 5 years, meaning that those involved in policy, research and intervention implementation are not fully informed by the latest systematic evaluation of research, risking a disservice to healthcare consumers. Hence, our aim was to update a 2017 systematic review that determined the effect of sport-specific mental health awareness programmes to improve mental health knowledge and help-seeking among sports coaches, athletes and officials. We extended the review to incorporate parents as a source of help-seeking and report the validity of outcome measures and quality of research design that occurred since the original review.MethodsSport-specific mental health awareness programmes adopting an experimental or quasi-experimental design were included for synthesis. Five electronic databases were searched: Psychinfo, Medline (OVID interface), Scopus, Cochrane and Cinahl. Each database was searched from its year of inception to June 2020. As all of the outcomes measured were derived from psychometric scales, we observed statistically significant quantitative effects on the basis ofp< .05, and a small, medium or large effect size asd= .2, .5 or .8, respectively. Risk of bias was assessed using the Cochrane and QATSQ tools.ResultsTwenty-eight articles were included from the 2048 retrieved, eighteen additional articles since the original review. Eighteen studies targeted athletes, five with coaches, one sport officials (i.e. referees), one ‘at-risk children’ and three with parents. One of the studies was a combination of athletes, coaches and parents. In terms of study outcomes, health referral efficacy was improved in seven studies; twelve studies reported an increase in knowledge about mental health disorders. Proportionally, higher quality research designs were evident, as three of ten studies within the previous review did not demonstrate a high risk of bias, whereas thirteen of the eighteen additional studies did not display a high risk of bias. However, only one study included a behaviour change model in both the programme design and evaluation.ConclusionsOur updated systematic review provides evidence of the benefits of mental health awareness interventions in sport; these benefits are mainly for athletes and show improvements in the methodological design of recent studies compared to the first review. There was also evidence of the extension of programme delivery to parents. In conclusion, researchers, practitioners and policy makers should consider methodological guidance and the application of theory when developing and evaluating complex interventions.Systematic review registrationPROSPEROCRD42016040178
Blood culture utilization and epidemiology of antimicrobial-resistant bloodstream infections before and during the COVID-19 pandemic in the Indonesian national referral hospital
Authors: Sinto Robert , Lie Khie Chen , Setiati Siti , Suwarto Suhendro , Nelwan Erni J. , Djumaryo Dean Handimulya , Karyanti Mulya Rahma , Prayitno Ari , Sumariyono Sumariyono , Moore Catrin E. , Hamers Raph L. , Day Nicholas P. J. , Limmathurotsakul Direk 
Published: May 2022

Abstract
Background
There is a paucity of data regarding blood culture utilization and antimicrobial-resistant (AMR) infections in low and middle-income countries (LMICs). In addition, there has been a concern for increasing AMR infections among COVID-19 cases in LMICs. Here, we investigated epidemiology of AMR bloodstream infections (BSI) before and during the COVID-19 pandemic in the Indonesian national referral hospital.

Methods
We evaluated blood culture utilization rate, and proportion and incidence rate of AMR-BSI caused by WHO-defined priority bacteria using routine hospital databases from 2019 to 2020. A patient was classified as a COVID-19 case if their SARS-CoV-2 RT-PCR result was positive. The proportion of resistance was defined as the ratio of the number of patients having a positive blood culture for a WHO global priority resistant pathogen per the total number of patients having a positive blood culture for the given pathogen. Poisson regression models were used to assess changes in rate over time.

Results
Of 60,228 in-hospital patients, 8,175 had at least one blood culture taken (total 17,819 blood cultures), giving a blood culture utilization rate of 30.6 per 1,000 patient-days. A total of 1,311 patients were COVID-19 cases. Blood culture utilization rate had been increasing before and during the COVID-19 pandemic (both p < 0.001), and was higher among COVID-19 cases than non-COVID-19 cases (43.5 vs. 30.2 per 1,000 patient-days, p < 0.001). The most common pathogens identified were K. pneumoniae (23.3%), Acinetobacter spp. (13.9%) and E. coli (13.1%). The proportion of resistance for each bacterial pathogen was similar between COVID-19 and non-COVID-19 cases (all p > 0.10). Incidence rate of hospital-origin AMR-BSI increased from 130.1 cases per 100,000 patient-days in 2019 to 165.5 in 2020 (incidence rate ratio 1.016 per month, 95%CI:1.016–1.017, p < 0.001), and was not associated with COVID-19 (p = 0.96).

Conclusions
In our setting, AMR-BSI incidence and etiology were similar between COVID-19 and non-COVID-19 cases. Incidence rates of hospital-origin AMR-BSI increased in 2020, which was likely due to increased blood culture utilization. We recommend increasing blood culture utilization and generating AMR surveillance reports in LMICs to inform local health care providers and policy makers.
Inoculation with Azospirillum brasilense and/or Pseudomonas geniculata reinforces flax (Linum usitatissimum) growth by improving physiological activities under saline soil conditions
Authors: Omer Amal M. , Osman Mahmoud S. , Badawy Ali A. 
Published: May 2022

AbstractBackgroundSalinized soils negatively affect plant growth, so it has become necessary to use safe and eco-friendly methods to mitigate this stress. In a completely randomized design, a pot experiment was carried out to estimate the influence of the inoculation with endophytic bacterial isolatesAzospirillum brasilense,Pseudomonas geniculataand their co-inoculation on growth and metabolic aspects of flax (Linum usitatissimum) plants that already grown in salinized soil.ResultsThe results observed that inoculation of salinity-stressed flax plants with the endophytesA. brasilenseandP. geniculata(individually or in co-inoculation) increases almost growth characteristics (shoot and root lengths, fresh and dry weights as well as number of leaves). Moreover, contents of chlorophylls and carotenoids pigments, soluble sugars, proteins, free proline, total phenols, ascorbic acid, and potassium (K+) in flax plants grown in salinized soil were augmented because of the inoculation withA. brasilenseandP. geniculata. Oppositely, there are significant decreases in free proline, malondialdehyde (MDA), hydrogen peroxide (H2O2), and sodium (Na+) contents. Regarding antioxidant enzymes, including superoxide dismutase (SOD), peroxidase (POD), and ascorbate peroxidase (APX), the inoculation with the tested endophytes led to significant enhancements in the activities of antioxidant enzymes in stressed flax plants.ConclusionsThe results of this work showed that the use of the endophytic bacterial isolatesAzospirillum brasilense,Pseudomonas geniculata(individually or in co-inoculation) could be regarded as an uncommon new model to alleviate salinity stress, especially in salinized soils.
A rare case of synchronous multiple primary malignancies of breast cancer and diffuse large B-cell lymphoma that responded to multidisciplinary treatment: a case report
Authors: Ueda Yuichi , Makino Yuko , Tochigi Taro , Ota Yoshikazu , Hidaka Hideki , Nakamura Takeshi , Beppu Kiichiro , Ohuchida Jiro , Odate Seiichi , Terasaka Soshi , Nishida Takahiro , Yoshida Masaki , Kimura Ryuichiro , Marutsuka Kousuke , Otomo Naoki 
Published: May 2022

Abstract
Background
Multiple primary malignancies of breast cancer and diffuse large B-cell lymphoma (DLBCL) are rare. Here, we report a case of advanced breast cancer and DLBCL managed with multidisciplinary therapy preceded by surgery with a successful outcome.

Case presentation
During a medical examination, a 71-year-old woman was diagnosed with a right breast mass, enlarged lymph nodes throughout the body, and a splenic tumor. The results of the clinical examination and imaging were suggestive of widely spread breast cancer with lymph node metastasis and malignant lymphoma with systemic metastasis. The histological evaluation of the biopsied breast tissue revealed human epidermal growth factor receptor 2 (HER2)-positive breast cancer, whereas the histological evaluation of the excised inguinal lymph node revealed DLBCL. 18F-FDG PET/computed tomography was performed, and it was determined that both breast cancer and DLBCL were in an advanced stage. Thus, mastectomy was performed, and the axillary lymph nodes showed mixed metastasis of breast cancer and DLBCL. Soon after, the R-CHOP therapy was initiated (375-mg/m2 rituximab, 2-mg/m2 vincristine, 50-mg/m2 doxorubicin, 750-mg/m2 cyclophosphamide, and 125-mg methylprednisolone). After irradiation of the spleen, trastuzumab was administered for 1 year.

Conclusions
We experienced a case of combined breast cancer and DLBCL, which was difficult to treat because both were in advanced stages. Thorough staging of the malignancy and discussion by a multidisciplinary team are necessary to determine the optimal treatment strategy.
Effects of different short-chain fatty acids (SCFA) on gene expression of proteins involved in barrier function in IPEC-J2
Authors: Saleri Roberta , Borghetti Paolo , Ravanetti Francesca , Cavalli Valeria , Ferrari Luca , De Angelis Elena , Andrani Melania , Martelli Paolo 
Published: May 2022

Abstract
Background
Gut microbial anaerobic fermentation produces short-chain fatty acids (SCFA), which are important substrates for energy metabolism and anabolic processes in mammals. SCFA can regulate the inflammatory response and increase the intestinal barrier integrity by enhancing the tight junction protein (TJp) functions, which prevent the passage of antigens through the paracellular space. The aim of this study was to evaluate the effect of in vitro supplementation with SCFA (acetate, propionate, butyrate, and lactate) at different concentrations on viability, nitric oxide (NO) release (oxidative stress parameter) in cell culture supernatants, and gene expression of TJp (occludin, zonula occludens-1, and claudin-4) and pro-inflammatory pathway-related mediators (β-defensin 1, TNF-α, and NF-κB) in intestinal porcine epithelial cell line J2 (IPEC-J2).

Results
The SCFA tested showed significant effects on IPEC-J2, which proved to be dependent on the type and specific concentration of the fatty acid. Acetate stimulated cell viability and NO production in a dose-dependent manner (P < 0.05), and specifically, 5 mM acetate activated the barrier response through claudin-4, and immunity through β-defensin 1 (P < 0.05). The same effect on these parameters was shown by propionate supplementation, especially at 1 mM (P < 0.05). Contrarily, lactate and butyrate showed different effects compared to acetate and propionate, as they did not stimulate an increase of cell viability and regulated barrier integrity through zonula occludens-1 and occludin, especially at 30 mM and 0.5 mM, respectively (P < 0.05). Upon supplementation with SCFA, the increase of NO release at low levels proved not to have detrimental effects on IPEC-J2 proliferation/survival, and in the case of acetate and propionate, such levels were associated with beneficial effects. Furthermore, the results showed that SCFA supplementation induced β-defensin 1 (P < 0.05) that, in turn, may have been involved in the inhibition of TNF-α and NF-κB gene expression (P < 0.05).

Conclusions
The present study demonstrates that the supplementation with specific SCFA in IPEC-J2 can significantly modulate the process of barrier protection, and that particularly acetate and propionate sustain cell viability, low oxidative stress activity and intestinal barrier function.
Detecting the lead–lag effect in stock markets: definition, patterns, and investment strategies
Authors: Li Yongli , Wang Tianchen , Sun Baiqing , Liu Chao 
Published: May 2022

AbstractHuman activities widely exhibit a power-law distribution. Considering stock trading as a typical human activity in the financial domain, the first aim of this paper is to validate whether the well-known power-law distribution can be observed in this activity. Interestingly, this paper determines that the number of accumulated lead–lag days between stock pairs meets the power-law distribution in both the U.S. and Chinese stock markets based on 10 years of trading data. Based on this finding this paper adopts the power-law distribution to formally define the lead–lag effect, detect stock pairs with the lead–lag effect, and then design a pure lead–lag investment strategy as well as enhancement investment strategies by integrating the lead–lag strategy into classic alpha-factor strategies. Tests conducted on 20 different alpha-factor strategies demonstrate that both perform better than the selected benchmark strategy and that the lead–lag strategy provides useful signals that significantly improve the performance of basic alpha-factor strategies. Our results therefore indicate that the lead–lag effect may provide effective information for designing more profitable investment strategies.