bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prestroke statins use reduces oxidized low density lipoprotein levels and improves clinical outcomes in patients with atrial fibrillation related acute ischemic stroke
Authors: He Lanying , Xu Ronghua , Wang Jian , Zhang Lili , Zhang Lijuan , Zhao Wang , Dong Weiwei 
Published: October 2019

Abstract

Background
Atrial fibrillation (AF) is a common cause of cerebral infarction, which could lead to endothelial dysfunction, increased reactive oxygen species (ROS) and oxidized low density lipoprotein (Ox-LDL).AF is associated with higher mortality and more severe neurologic disability. Statins may exert neuroprotective effects that are independent of LDL-C lowering. The purpose of our study was to investigate whether prestroke statins use could reduce plasma Ox-LDL levels and improve clinical outcomes in patients with AF-related acute ischemic stroke (AIS).

Methods
This was a multicenter prospective study that involved four medical centers, 242 AIS patients with AF were identified, who underwent a comprehensive clinical investigation and a 72 h-Holter electrocardiogram monitoring. All patients were divided into two groups: prestroke statins use and no prestroke statins use groups, who were followed up for 3 months. Plasma Ox-LDL levels were measured using enzyme-linked immunosorbent assay (ELISA) on admission and at 3 months. The outcome was death, major disability (modified Rankin Scale score ≥ 3), and composite outcome (death/major disability) at 3 months after AIS.

Results
One hundred thirty-six patients were in no prestroke statins use group, and 106 in prestroke statins use group. Plasma Ox-LDL levels were significantly lower in prestroke statins use than in no prestroke statins use on admission and at 3 months (P < 0.001). Plasma Ox-LDL levels on admission were associated with 3-month mortality [adjusted odds ratio (OR), 1.05; 95% confidence interval (CI), 0.99–1.12; P = 0.047]. In fully adjusted models, prestroke statins use was associated with reduced 3-month mortality [adjusted OR, 0.38; 95% CI, 0.16–0.91; P = 0.031)], major disability (adjusted OR, 0.38; 95% CI, 0.15–0.99; P = 0.047), and composite outcome (adjusted OR, 0.31; 95% CI, 0.17–0.74; P = 0.009).

Conclusions
Prestroke statins use can reduce plasma Ox-LDL levels and improve clinical outcomes in patients with AF-related AIS.
Effectiveness of a brief psychological mindfulness-based intervention for the treatment of depression in primary care: study protocol for a randomized controlled clinical trial
Authors: Lopez-Montoyo Alba , Quero Soledad , Montero-Marin Jesus , Barcelo-Soler Alberto , Beltran Maria , Campos Daniel , Garcia-Campayo Javier 
Published: October 2019

Abstract

Background
Depressive symptoms are quite prevalent in Primary Care (PC) settings. The treatment as usual (TAU) in PC is pharmacotherapy, despite the high relapse rates it produces. Many patients would prefer psychotherapy, but specialized services are overloaded. Studies that apply Mindfulness-Based Interventions (MBIs) for the treatment of depression have obtained significant improvements. Brief low-intensity approaches delivered from PC could be a promising approach. This study aims to compare a low-intensity mindfulness intervention for the treatment of depression in PC using different intervention formats – a face-to-face MBI delivered in a group and the same MBI individually applied on the Internet – to a control group that will receive PC medical treatment as usual.

Methods
A randomized controlled clinical trial will be conducted in PC, with about 120 depressed patients allocated (1:1:1) to three groups: “face-to-face MBI + TAU”, “Internet-delivered MBI + TAU”, and “TAU alone”. The MBI programs will be composed of four modules. The primary outcome will be depressive symptoms, measured through the Beck Depression Inventory, assessed at pre- and post-treatment and 6- and 12-month follow-ups. Other outcomes will be mindfulness, happiness, affectivity, quality of life, and the use of healthcare services. Intention-to-treat analysis using linear mixed models adjusted for baseline scores and routine sociodemographic analysis that could show baseline differences will be conducted. Per-protocol secondary outcome analyses will also be performed.

Discussion
This is the first Spanish RCT to apply a low-intensity face-to-face MBI (plus TAU) to treat depression in PC settings compared to TAU (alone). Moreover, this study will also make it possible to evaluate the same MBI program (plus TAU), but Internet-delivered, considering their cost-effectiveness. Positive results from this RCT might have an important impact on mental health settings, helping to decrease the overload of the system and offering treatment alternatives beyond antidepressant medication through high-quality, flexible PC interventions.

Trial registration
Clinical Trials.gov NCT03034343. Trial Registration date 24 January 2017, retrospectively registered.
Identifying tuberculous pleural effusion using artificial intelligence machine learning algorithms
Authors: Ren Zenghua , Hu Yudan , Xu Ling 
Published: October 2019

Abstract

Background
The differential diagnosis of tuberculous pleural effusion (TPE) is challenging. In recent years, artificial intelligence (AI) machine learning algorithms have started being used to an increasing extent in disease diagnosis due to the high level of efficiency, objectivity, and accuracy that they offer.

Methods
Data samples on 192 patients with TPE, 54 patients with parapneumonic pleural effusion (PPE), and 197 patients with malignant pleural effusion (MPE) were retrospectively collected. Based on 28 different features obtained via statistical analysis, TPE diagnostic models using four machine learning algorithms (MLAs), namely logistic regression, k-nearest neighbors (KNN), support vector machine (SVM) and random forest (RF) were established and their respective diagnostic performances were calculated. The respective diagnostic performances of each of the four algorithmic models were compared with that of pleural fluid adenosine deaminase (pfADA). Based on 12 features with the most significant impacts on the accuracy of the RF model, a new RF model was designed for clinical application. To demonstrate its external validity, a prospective study was conducted and the diagnostic performance of the RF model was calculated.

Results
The respective sensitivity and specificity of each of the four TPE diagnostic models were as follows: logistic regression – 80.5 and 84.8%; KNN– 78.6 and 86.6%; SVM – 83.2 and 85.9%; and RF – 89.1 and 93.6%. The sensitivity and specificity of pfADA were 85.4 and 84.1%, respectively, at the best cut-off value of 17.5 U/L. RF was the superior method among the four MLAs, and was also superior to pfADA. The newly designed RF model (based on 12 out of 28 features) exhibited an acceptable performance rate for the diagnosis of TPE with a sensitivity and specificity of 90.6 and 92.3%, respectively. In the prospective study, its sensitivity and specificity were 100.0 and 90.0%, respectively.

Conclusions
Establishing a model for the diagnosis of TPE using RF resulted in a more effective, economical, and faster diagnostic method. This method could enable clinicians to diagnose and treat TPE more effectively.
Infrared thermography in children: a reliable tool for differential diagnosis of peripheral microvascular dysfunction and Raynaud’s phenomenon?
Authors: Martini Giorgia , Cappella Michela , Culpo Roberta , Vittadello Fabio , Sprocati Monica , Zulian Francesco 
Published: October 2019

Abstract

Background
Infrared Thermography (IRT) has been used for over 30 years in the assessment of Raynaud Phenomenon (RP) and other peripheral microvascular dysfunctions in adults but, to date, very little experience is available on its use in children for this purpose. The first aim of the study was to assess reproducibility of thermographic examination after cold exposure by comparing inter-observer agreement in thermal imaging interpretation. The secondary aim was to evaluate whether IRT is reliable to diagnose and differentiate peripheral circulation disturbances in children.

Methods
Children with clinical diagnosis of primary Raynaud’s phenomenon (PRP), secondary RP (SRP), acrocyanosis (AC) and age-matched controls underwent sequential measurements of skin temperature at distal interphalangeal (DIP) and metacarpophalangeal (MCP) joints with IRT at baseline and for 10 min after cold challenge test. Intraclass correlation coefficient (ICC) was calculated for inter-rater reliability in IRT interpretation, then temperature variations at MCP and DIP joints and the distal-dorsal difference (DDD) were analysed.

Results
Fourteen PRP, 16 SRP, 14 AC and 15 controls entered the study. ICC showed excellent agreement (> 0.93) for DIPs and MCPs in 192 measures for each subject. Patients with PRP, SRP and acrocyanosis showed significantly slower recovery at MCPs (p < 0.05) and at DIPs (p < 0.001) than controls. At baseline, higher temperature at DIPs and lower at MCPs was observed in PRP compared with SRP with significantly lower DDD (p < 0.001). Differently from AC, both PRP and SRP showed gain of temperature at DIPs and less at MCPs after cold challenge. PRP but not SRP patients returned to DIPs basal temperature by the end of re-warming time. Analysis of DDD confirmed that controls and PRP, SRP and AC patients significantly differed in fingers recovery pattern (p < 0.05).

Conclusion
IRT appears reliable and reproducible in identifying children with peripheral microvascular disturbances. Our results show that IRT examination pointed out that PRP, SRP and AC patients present significant differences in basal extremities temperature and in re-warming pattern after cold challenge therefore IRT can be suggested as an objective tool for diagnosis and monitoring of disease.
Of microbes and mange: consistent changes in the skin microbiome of three canid species infected with Sarcoptes scabiei mites
Authors: DeCandia Alexandra L. , Leverett Kennedy N. , vonHoldt Bridgett M. 
Published: October 2019

AbstractBackgroundSarcoptic mange is a highly contagious skin disease caused by the ectoparasitic miteSarcoptes scabiei. Although it afflicts over 100 mammal species worldwide, sarcoptic mange remains a disease obscured by variability at the individual, population and species levels. Amid this variability, it is critical to identify consistent drivers of morbidity, particularly at the skin barrier.MethodsUsing culture-independent next generation sequencing, we characterized the skin microbiome of three species of North American canids: coyotes (Canis latrans), red foxes (Vulpes vulpes) and gray foxes (Urocyon cinereoargenteus). We compared alpha and beta diversity between mange-infected and uninfected canids using the Kruskal–Wallis test and multivariate analysis of variance with permutation. We used analysis of composition of microbes and gneiss balances to perform differential abundance testing between infection groups.ResultsWe found remarkably consistent signatures of microbial dysbiosis associated with mange infection. Across genera, mange-infected canids exhibited reduced microbial diversity, altered community composition and increased abundance of opportunistic pathogens. The primary bacteria comprising secondary infections wereStaphylococcus pseudintermedius, previously associated with canid ear and skin infections, andCorynebacteriumspp., previously found among the gut flora ofS. scabieimites and hematophagous arthropods.ConclusionsThis evidence suggests that sarcoptic mange infection consistently alters the canid skin microbiome and facilitates secondary bacterial infection, as seen in humans and other mammals infected withS. scabieimites. These results provide valuable insights into the pathogenesis of mange at the skin barrier of North American canids and can inspire novel treatment strategies. By adopting a “One Health” framework that considers mites, microbes and the potential for interspecies transmission, we can better elucidate the patterns and processes underlying this ubiquitous and enigmatic disease.
Upgrading a high performance computing environment for massive data processing
Authors: Ponce Lucas M. , Santos Walter dos , Meira Wagner , Guedes Dorgival , Lezzi Daniele , Badia Rosa M. 
Published: October 2019

Abstract
High-performance computing (HPC) and massive data processing (Big Data) are two trends that are beginning to converge. In that process, aspects of hardware architectures, systems support and programming paradigms are being revisited from both perspectives. This paper presents our experience on this path of convergence with the proposal of a framework that addresses some of the programming issues derived from such integration. Our contribution is the development of an integrated environment that integretes (i) COMPSs, a programming framework for the development and execution of parallel applications for distributed infrastructures; (ii) Lemonade, a data mining and analysis tool; and (iii) HDFS, the most widely used distributed file system for Big Data systems. To validate our framework, we used Lemonade to create COMPSs applications that access data through HDFS, and compared them with equivalent applications built with Spark, a popular Big Data framework. The results show that the HDFS integration benefits COMPSs by simplifying data access and by rearranging data transfer, reducing execution time. The integration with Lemonade facilitates COMPSs’s use and may help its popularization in the Data Science community, by providing efficient algorithm implementations for experts from the data domain that want to develop applications with a higher level abstraction.
Macrophage activation syndrome, a rare complication of primary Sjögren’s syndrome: a case report
Authors: Kane B. S. , Niasse M. , Faye A. , Diack N. D. , Djiba B. , Dieng M. , Sow M. , Ndao A. C. , Diagne N. , Ndongo S. , Pouye A. 
Published: October 2019

Abstract

Background
The association of macrophage activation syndrome and primary Sjögren’s syndrome has been rarely reported in the literature. We report the first observation of this association in Africa, south of the Sahara, and we discuss the diagnosis and therapeutic challenge.

Case presentation
A 26-year-old Mauritanian and Berber woman was followed for primary Sjögren’s syndrome. After a voluntary cessation of her usual background treatment, she was admitted to our department for an outbreak of her illness. A clinical examination revealed anemic syndrome, peripheral polyarthritis, coughing rales at both pulmonary bases, and fever at 39.5 °C. On biologic examination, there was bicytopenia with anemia at 5.70 g/dl, lymphopenia at 796/mm3, a biological inflammatory syndrome with a sedimentation rate at 137 mm in the first hour, C-reactive protein at 97 mg/l, hyperferritinemia at 1778 mg/l (9 normal value), and hypergammaglobulinemia at 20.7 g/l of polyclonal appearance. The triglycerides were 1.95 g/l (1.4 normal value) and the lactate dehydrogenase level was 491 IU/l (1.5 normal value). Cytological examination of a medullary puncture revealed an image of hemophagocytosis. An infectious screening was negative. Thoracic computed tomography showed non-specific interstitial lung disease. A diagnosis of macrophage activation syndrome complicating primary Sjögren’s syndrome was selected with a probability of 97.2%, according to H-Score. The evolution was favorable under a treatment including etoposide (VP-16).

Conclusion
Macrophage activation syndrome is a rare entity, rarely reported during primary Sjögren’s syndrome. Its spontaneous evolution is invariably fatal. There is no consensus on therapeutic treatment. Etoposide is a therapeutic option especially in forms refractory to corticosteroid therapy.
Rapid one-step enzyme immunoassay and lateral flow immunochromatographic assay for colistin in animal feed and food
Authors: Wang Jiayi , Zhou Jinyu , Chen Yiqiang , Zhang Xinpei , Jin Yongpeng , Cui Xiaojing , He Dongting , Lai Wenqing , He Lidong 
Published: October 2019

Abstract

Background
Colistin (polymyxin E) is a kind of peptide antibiotic which has been approved in animal production for the purposes of disease prevention, treatment, and growth promotion. However, the wide use of colistin in animal feed may accelerate the spread of colistin-resistance gene MCR-1 from animal production to human beings, and its residue in animal-origin food may also pose serious health hazards to humans. Thus, it is necessary to develop corresponding analytical methods to monitor the addition of colistin in animal feed and the colistin residue in animal-origin food.

Results
A one-step enzyme-linked immunosorbent assay (ELISA) and a lateral flow immunochromatographic assay (LFIA) for colistin were developed based on a newly developed monoclonal antibody. The ELISA showed a 50% inhibition value (IC50) of 9.7 ng/mL with assay time less than 60 min, while the LFIA had a strip reader-based detection limit of 0.87 ng/mL in phosphate buffer with assay time less than 15 min. For reducing the non-specific adsorption of colistin onto sample vial, the components of sample extraction solution were optimized and proved to greatly improve the assay accuracy. The spiked recovery experiment showed that the recoveries of colistin from feed, milk and meat samples were in the range of 77.83% to 113.38% with coefficient of variations less than 13% by ELISA analysis and less than 18% by LFIA analysis, respectively. Furthermore, actual sample analysis indicated that the two immunoassays can produce results consistent with instrumental analysis.

Conclusions
The developed assays can be used for rapid qualitative or quantitative detection of colistin in animal feed and food.
In vivo and in vitro toxicity evaluation of liposome-encapsulated sirolimus
Authors: Abud Murilo Batista , Louzada Ricardo Noguera , Isaac David Leonardo Cruvinel , Souza Leonardo Gomes , dos Reis Ricardo Gomes , Lima Eliana Martins , de Ávila Marcos Pereira 
Published: October 2019

Abstract

Background
To evaluate the in vivo and in vitro toxicity of a new formulation of liposome-encapsulated sirolimus (LES).

Methods
In vitro experiments were done using ARPE-19 and HRP cells. An MTT assay was used to determine cell metabolic activity and a TUNEL assay for detecting DNA fragmentation. In vivo experiments were conducted on New Zealand albino rabbits that received intravitreal injections of empty liposomes (EL) or different concentrations of LES. Histopathological and immunohistochemical analyses were performed on the rabbit’s eyes following injection.

Results
Eighteen eyes of nine rabbits were used. MTT assay cell viability was 95.04% in group 1 (12.5 µL/mL LES). 92.95% in group 2 (25 µL/mL LES), 91.59% in group 3 (50 µL/mL LES), 98.09% in group 4 (12.5 µL/mL EL), 95.20% on group 5 (50 µL/mL EL), 98.53% in group 6 (50 µL/mL EL), and 2.84% on group 8 (50 µL/mL DMSO). There was no statistically significant difference among groups 1 to 7 in cell viability (p = 1.0), but the comparison of all groups with group 8 was significant (p < 0.0001). The TUNEL assay comparing two groups was not statistically significant from groups 1 to 7 (p = 1.0). The difference between groups 1 to 7 and group 8 (p < 0.0001) was significant. Histopathological changes were not found in any group. No activation of Müller cells was detected.

Conclusion
A novel formulation of LES delivered intravitreally did not cause in vitro toxicity, as evaluated by MTT and TUNEL assays, nor in vivo toxicity as evaluated by histopathology and immunohistochemistry in rabbit eyes.
The trans-DATA study: aims and design of a translational breast cancer prognostic marker identification study
Authors: de Ruijter Tim C. , Smits Kim M. , Aarts Maureen J. , van Hellemond Irene E. G. , Van Neste Leander , de Vries Bart , Peer Petronella G. M. , Veeck Jürgen , van Engeland Manon , Tjan-Heijnen Vivianne C. G. 
Published: October 2019

Abstract

Background
The effect of extended adjuvant aromatase inhibition in hormone-positive breast cancer after sequential tamoxifen, aromatase inhibitor treatment of 5 years was recently investigated by the DATA study. This study found no statistically significant effect of prolonged aromatase therapy. However, subgroup analysis showed post hoc statistically significant benefits in certain sub-populations. The trans-DATA study is a translational sub-study aiming to identify DNA methylation markers prognostic of patient outcome.

Methods
Patients from the DATA study are included in the trans-DATA study. Primary breast tumour tissue will be collected, subtyped and used for DNA isolation. A genome-wide DNA methylation discovery assay will be performed on 60 patients that had a distant recurrence and 60 patients that did not have a distant recurrence using the Infinium Methylation EPIC Bead Chip platform. Differentially methylated regions of interest will be selected based on Akaike’s Information Criterion, Gene Ontology Analysis and correlation between methylation and expression levels. Selected candidate genes will subsequently be validated in the remaining patients using qMSP.

Discussion
The trans-DATA study uses a cohort derived from a clinical randomised trial. This study was designed to avoid common pitfalls in marker discovery studies such as selection bias, confounding and lack of reproducibility. In addition to the usual clinical risk factors, the results of this study may identify predictors of high recurrence risk in hormone receptor-positive breast cancer patients treated with sequential tamoxifen and aromatase inhibitor therapy.
Patient and in vitro fertilization (IVF) cycle characteristics associated with variable blastulation rates: a retrospective study from the Duke Fertility Center (2013–2017)
Authors: Jones Carrie A. , Acharya Kelly S. , Acharya Chaitanya R. , Raburn Douglas , Muasher Suheil J. 
Published: October 2019

Abstract

Background
To evaluate the association of patient and IVF cycle characteristics with blastulation rate and formation of high-quality blastocysts

Results
We analyzed autologous blastocyst cycles from 2013 to 2017. Cycles were subdivided into low (< 33%), intermediate (33–66%), and high (> 66%) blastulation rates. Embryo quality was assigned by embryologists using Gardner Criteria. R statistical package was used, and the blastulation groups were compared using analysis of variance (ANOVA) for continuous variables and chi-squared tests for categorical variables. The Bonferroni correction was used to adjust for multiple comparisons. One hundred seventeen IVF cycles met our inclusion criteria. Of these, 20 (17.1%) had low, 74 (63.2%) had intermediate, and 23 (19.7%) had high blastulation rates. Low blastulation rate was associated with a lower number of blastocysts, including fewer high-quality blastocysts. The mean number of oocytes retrieved was highest (18.1) in the group with the lowest blastulation rate, and lowest (13.4) in those with the highest blastulation rate, although this did not reach statistical significance. There were no significant differences between blastulation rates and age, gravidity, prior live birth, anti-mullerian hormone, estradiol and progesterone levels on the day of ovulation trigger, follicle-stimulating hormone dose, or fertility diagnosis.

Conclusions
High blastulation rate is associated with a greater number of blastocysts, including a greater number of high-quality blastocysts. Higher oocyte yield, however, is not associated with improved blastulation rates. Blastulation rates, blastocyst number, and quality remain difficult to predict based on cycle characteristics alone, and oocyte yield may not be an accurate predictor of either outcome.