bluuebunny/crossref_metadata_2025_split huggingface dataset:
sTREM-1 predicts mortality in hospitalized patients with infection in a tropical, middle-income country
Authors: Wright Shelton W. , Lovelace-Macon Lara , Hantrakun Viriya , Rudd Kristina E. , Teparrukkul Prapit , Kosamo Susanna , Liles W. Conrad , Limmathurotsakul Direk , West T. Eoin 
Published: July 2020

AbstractBackgroundFew studies of biomarkers as predictors of outcome in infection have been performed in tropical, low- and middle-income countries where the burden of sepsis is highest. We evaluated whether selected biomarkers could predict 28-day mortality in infected patients in rural Thailand.MethodsFour thousand nine hundred eighty-nine adult patients admitted with suspected infection to a referral hospital in northeast Thailand were prospectively enrolled within 24 h of admission. In a secondary analysis of 760 patients, interleukin-8 (IL-8), soluble tumor necrosis factor receptor 1 (sTNFR-1), angiopoietin-1 (Ang-1), angiopoietin-2 (Ang-2), and soluble triggering receptor expressed by myeloid cells 1 (sTREM-1) were measured in the plasma. Association with 28-day mortality was evaluated using regression; a parsimonious biomarker model was selected using the least absolute shrinkage and selection operator (LASSO) method. Discrimination of mortality was assessed by receiver operating characteristic curve analysis and verified by multiple methods.ResultsIL-8, sTNFR-1, Ang-2, and sTREM-1 concentrations were strongly associated with death. LASSO identified a three-biomarker model of sTREM-1, Ang-2, and IL-8, but sTREM-1 alone provided comparable mortality discrimination (p = 0.07). sTREM-1 alone was comparable to a model of clinical variables (area under receiver operating characteristic curve [AUC] 0.81, 95% confidence interval [CI] 0.77–0.85 vs AUC 0.79, 95% CI 0.74–0.84;p = 0.43). The combination of sTREM-1 and clinical variables yielded greater mortality discrimination than clinical variables alone (AUC 0.83, 95% CI 0.79–0.87;p = 0.004).ConclusionssTREM-1 predicts mortality from infection in a tropical, middle-income country comparably to a model derived from clinical variables and, when combined with clinical variables, can further augment mortality prediction.Trial registrationThe Ubon-sepsis study was registered onClinicalTrials.gov(NCT02217592), 2014.
Translational data analytics in exposure science and environmental health: a citizen science approach with high school students
Authors: Hyder Ayaz , May Andrew A. 
Published: July 2020

Abstract
Background
Translational data analytics aims to apply data analytics principles and techniques to bring about broader societal or human impact. Translational data analytics for environmental health is an emerging discipline and the objective of this study is to describe a real-world example of this emerging discipline.

Methods
We implemented a citizen-science project at a local high school. Multiple cohorts of citizen scientists, who were students, fabricated and deployed low-cost air quality sensors. A cloud-computing solution provided real-time air quality data for risk screening purposes, data analytics and curricular activities.

Results
The citizen-science project engaged with 14 high school students over a four-year period that is continuing to this day. The project led to the development of a website that displayed sensor-based measurements in local neighborhoods and a GitHub-like repository for open source code and instructions. Preliminary results showed a reasonable comparison between sensor-based and EPA land-based federal reference monitor data for CO and NOx.

Conclusions
Initial sensor-based data collection efforts showed reasonable agreement with land-based federal reference monitors but more work needs to be done to validate these results. Lessons learned were: 1) the need for sustained funding because citizen science-based project timelines are a function of community needs/capacity and building interdisciplinary rapport in academic settings and 2) the need for a dedicated staff to manage academic-community relationships.
Feasibility and accuracy of a novel automated three-dimensional ultrasonographic analysis system for abdominal aortic aneurysm: comparison with two-dimensional ultrasonography and computed tomography
Authors: Cho In-Jeong , Lee Jinyong , Park Jinki , Lee Sang-Eun , Ahn Chul-Min , Ko Young-Guk , Choi Donghoon , Chang Hyuk-Jae 
Published: July 2020

Abstract
Background
Accurate measurement of the maximum aortic diameter (Dmax) is crucial for patients with abdominal aortic aneurysm (AAA). Aortic computed tomography (CT) provides accurate Dmax values by three-dimensional (3-D) reconstruction but may cause nephrotoxicity because of contrast use and radiation hazard. We aimed to evaluate the accuracy of a novel semi-automated 3-D ultrasonography (3-D US) system compared with that of CT as a reference.

Methods
Patients with AAA (n = 59) or individuals with normal aorta (n = 18) were prospectively recruited in an outpatient setting. Two-dimensional ultrasonography (2-D US) and 3-D US images were acquired with a single-sweep volumetric transducer. The analysis was performed offline with a software. Dmax and the vessel area of the Dmax slice were measured with 2-D US, 3-D US, and CT. The lumen and thrombus areas of the Dmax slice were also measured in 40 patients with intraluminal thrombus. Vessel and thrombus volumes were measured using 3-D US and CT.

Results
The Dmax values from 3-D US demonstrated better agreement (R2 = 0.984) with the CT values than with the 2-D US values (R2 = 0.938). Overall, 2-D US underestimated Dmax compared with 3-D US (32.3 ± 12.1 mm vs. 35.1 ± 12.0 mm). The Bland-Altman analysis of the 3-D US values, revealed better agreement with the CT values (2 standard deviations [SD], 2.9 mm) than with the 2-D US values (2 SD, 5.4 mm). The vessel, lumen, and thrombus areas all demonstrated better agreement with CT than with 2-D US (R2 = 0.986 vs. 0.960 for the vessel, R2 = 0.891 vs. 0.837 for the lumen, and R2 = 0.977 vs. 0.872 for the thrombus). The thrombus volume assessed with 3-D US showed good correlation with the CT value (R2 = 0.981 and 2 SD in the Bland-Altman analysis: 13.6 cm3).

Conclusions
Our novel semi-automated 3-D US analysis system provides more accurate Dmax values than 2-D US and provides precise volumetric data, which were not evaluable with 2-D US. The application of the semi-automated 3-D US analysis system in abdominal aorta assessment is easy and accurate.
Rich at risk: socio-economic drivers of COVID-19 pandemic spread
Authors: Gangemi Sebastiano , Billeci Lucia , Tonacci Alessandro 
Published: July 2020

AbstractCOVID-19, the novel coronavirus affecting the most part of worldwide countries since early 2020, is fast increasing its prevalence around the world, representing a significant emergency for the population and the health systems at large. While proper treatments are being developed, in-depth studies concerning its way of diffusion are necessary, in order to understand how the virus is actually spreading, through the investigation on some socio-economic indicators for the various countries in the world, retrieved through open-access data publicly available. The correlation analysis displayed significant relationships between COVID-19 incidence with several of such indicators, including the Gross Domestic Product per capita and the number of flights per capita, whereas mortality is mainly related to the main age of the population. All such data displayed an interesting mean to understand the way the virus has diffused worldwide, possibly representing the basis for future preventive measures to effectively challenge a new COVID-19 pandemic wave, but also other, similar pandemics.
Prevalence and correlates of poor sleep quality among college students: a cross-sectional survey
Authors: Li Yuanyuan , Bai Wei , Zhu Bo , Duan Ruixin , Yu Xiao , Xu Wen , Wang Mohan , Hua Wanqing , Yu Weiying , Li Wenjun , Kou Changgui 
Published: July 2020

Abstract
Background
Sleep problems are widespread among college students around the globe, especially in China. This study was designed to investigate the prevalence of poor sleep quality and identify associated factors among college students in Jilin Province, China.

Methods
A total of 6284 participants were completely collected by stratified cluster sampling in 2016. Information on basic demographics, lifestyles, social and family support, and subjective sleep quality was collected by questionnaire. The Pittsburgh Sleep Quality Index (PSQI) is a self-administered questionnaire used to assess sleep for one month.

Results
1951 (31.0%) participants were classified into poor sleep quality group, as defined by a PSQI score > 5. Males scored significantly higher than females on sleep duration and use of sleep medication, while females scored significantly higher than males on PSQI total and sleep disturbances. The results of the multivariate logistic regression show the following factors to be significant predictors of poor sleep quality: freshman (OR = 1.523, 95% CI: 1.168–1.987), alcohol use (OR = 1.634, 1.425–1.874), gambling behaviors (OR = 1.167, 95% CI: 1.005–1.356), exercised for more than 30 min a week on less than one day (OR = 1.234, 95% CI: 1.016–1.498), the feelings of satisfied with parental love (OR = 1.849, 95% CI: 1.244–2.749), and harmonious/neutral relationship with classmates (OR = 2.206, 95% CI: 1.312–3.708; OR = 1.700, 95% CI: 1.414–2.045),. No study pressure of this academic year (OR = 0.210, 95% CI: 0.159–0.276), no truancy in the past month (OR = 0.510, 95% CI: 0.354–0.735), never had self-injurious behaviors (OR = 0.413, 95% CI: 0.245–0.698), very harmonious family relationship (OR = 0.377, 95% CI: 0.219–0.650), frequent communication with parents (OR = 0.524, 95% CI: 0.312–0.880), the feelings of satisfied with maternal love (OR = 0.432, 95% CI: 0.257–0.725), and frequent excursions to gymnasium (OR = 0.770, 95% CI: 0.659–0.899) were the protective factors.

Conclusions
The implication of the present study may be that college students must be made aware of the consequences of inadequate sleep quality and risk factors could be improved if students tried to change their behavior and subjective consciousness.
Toxicity of particles emitted by fireworks
Authors: Hickey Christina , Gordon Christopher , Galdanes Karen , Blaustein Martin , Horton Lori , Chillrud Steven , Ross James , Yinon Lital , Chen Lung Chi , Gordon Terry 
Published: July 2020

Abstract
Background
Particle matter (PM) has been associated with increased morbidity and mortality rates across the world. This study was designed to test the hypotheses that pyrotechnic firework displays introduce significant amounts of toxic metals into the atmosphere and are hazardous to human health. Size-selective emissions from 10 different fireworks displays were collected during particle generation in a dynamic, stainless steel chamber and tested for toxicity in cells. A subset of 2 particle types were tested in vivo in mice. At doses that did not produce cytotoxicity in an LDH assay, in vitro reactive oxygen species (ROS) formation was measured in bronchial epithelial airway (BEAS-2B) and human pulmonary microvascular endothelial (HPMEC-ST1.6R) cell lines treated with size-fractionated particles from the emissions of fireworks.

Results
Significant increases in ROS, in both cell types, were dependent upon the type of firework but not particle size. The in vitro ROS activity was correlated with lung inflammation produced in groups of mice treated by oropharyngeal aspiration with 0, 50, or 100 μg fireworks PM10/mouse. Trace metal analyses of the PM10 samples showed significant differences in metal content among fireworks type. Interestingly, the PM10 sample for the fireworks type producing the greatest in vitro ROS response in BEAS-2B cells contained ~ 40,000 and ~ 12,000 ppm of lead and copper, respectively. This sample also produced the greatest inflammatory response (i.e., increased neutrophils in bronchoalveolar lavage fluid) in mice.

Conclusions
These findings demonstrate that pyrotechnic display particles can produce adverse effects in mammalian cells and lungs, thus suggesting that further research is needed to expand our understanding of the contribution of metal content to the adverse health effects of fireworks particles. This information will lead to the manufacture of safer fireworks.
Effectiveness of reminders to sustain practice change among direct care providers in residential care facilities: a cluster randomized controlled trial
Authors: Slaughter Susan E. , Eliasziw Misha , Ickert Carla , Jones C. Allyson , Estabrooks Carole A. , Wagg Adrian S. 
Published: July 2020

Abstract
Background
The study purpose was to compare the effectiveness of monthly or quarterly peer reminder knowledge translation interventions, with monthly or quarterly paper-based reminders, to sustain a mobility innovation, the sit-to-stand activity.

Method
A cluster RCT using a stratified 2 × 2 factorial design was conducted in 24 Canadian residential care facilities with 416 residents and 54 peer reminder care aides. The 1-year intervention included two intensities of reminders (high: socially based peer reminders delivered by volunteer care aides to other care aides; low: paper-based reminders posted in residents’ rooms), at two frequencies (monthly; every 3 months). Intervention fidelity was assessed using questionnaires and observations. Monthly sustainability rate of the sit-to-stand activity was calculated as the percentage of opportunities that residents successfully completed the activity in 30 days. Residents’ sustainability rates were analyzed using a linear mixed model that mirrored the clustered repeated-measures factorial trial design. The model included a random intercept to account for clustering within sites. An unstructured covariance structure characterized the interdependence of repeated measures over time.

Results
Twenty-four sites were randomized. One site was excluded because of falsifying data, leaving 23 sites and 349 residents for intention-to-treat analysis. Paper reminders were implemented with high fidelity across all arms (91.5% per protocol), while the peer reminders were implemented with moderate fidelity in the monthly group (81.0% per protocol) and poor fidelity in the quarterly group (51.7% per protocol). At month 1, mean sustainability ranged from 40.7 to 47.2 per 100 opportunities, across the four intervention arms (p = 0.43). Mean rate of sustainability in the high intensity, high frequency group diverged after randomization, yielding statistically significant differences among the groups at 4 months which persisted for the remainder of the trial. After 12 months, the mean sustainability in the high intensity, high frequency group was approximately twice that of the other three groups combined (64.1 versus 37.8 per 100 opportunities, p < 0.001).

Conclusions
A monthly peer reminder intervention was more effective than a quarterly peer reminder intervention, a monthly paper-based reminder intervention, and a quarterly paper-based reminder intervention, in supporting care aides to sustain a mobility innovation in residential care facilities over 1 year.

Trial registration
ClinicalTrials.gov, NCT01746459. Registered 11 December 2012: https://clinicaltrials.gov/ct2/show/NCT01746459.
Fast computation of genome-metagenome interaction effects
Authors: Guinot Florent , Szafranski Marie , Chiquet Julien , Zancarini Anouk , Le Signor Christine , Mougel Christophe , Ambroise Christophe 
Published: July 2020

AbstractMotivationAssociation studies have been widely used to search for associations between common genetic variants observations and a given phenotype. However, it is now generally accepted that genes and environment must be examined jointly when estimating phenotypic variance. In this work we consider two types of biological markers: genotypic markers, which characterize an observation in terms of inherited genetic information, and metagenomic marker which are related to the environment. Both types of markers are available in their millions and can be used to characterize any observation uniquely.ObjectiveOur focus is on detecting interactions between groups of genetic and metagenomic markers in order to gain a better understanding of the complex relationship between environment and genome in the expression of a given phenotype.ContributionsWe propose a novel approach for efficiently detecting interactions between complementary datasets in a high-dimensional setting with a reduced computational cost. The method, named SICOMORE, reduces the dimension of the search space by selecting a subset of supervariables in the two complementary datasets. These supervariables are given by a weighted group structure defined on sets of variables at different scales. A Lasso selection is then applied on each type of supervariable to obtain a subset of potential interactions that will be explored via linear model testing.ResultsWe compare SICOMORE with other approaches in simulations, with varying sample sizes, noise, and numbers of true interactions. SICOMORE exhibits convincing results in terms of recall, as well as competitive performances with respect to running time. The method is also used to detect interaction between genomic markers inMedicago truncatulaand metagenomic markers in its rhizosphere bacterial community.Software availabilityAn package is available [4], along with its documentation and associated scripts, allowing the reader to reproduce the results presented in the paper.
Thoracoscopic lobectomy for a 4-day-old neonate with a large congenital pulmonary airway malformation: a case report
Authors: Huang Jinxi , Zhou Chaoming , Chen Qiang , Wu Dianming , Hong Junjie , Hong Songming 
Published: July 2020

Abstract
Background: Congenital pulmonary airway malformation is a rare congenital lung lesion. Infants with large Congenital pulmonary airway malformation can present with a series of serious symptoms. Surgery is still the main treatment. Thoracoscopic lobectomy for neonates is rarely reported.

Case presentation
The authors report a case of a congenital pulmonary airway malformation located in the left lower lung of a 4-day-old female infant. Prenatally, the cystic adenomatoid malformation volume ratio was 2.99 according to ultrasound scan. After birth, thoracoscopic lobectomy was performed to alleviate respiratory failure and mediastinal hernia. The patient’s clinical symptoms and the X-ray re-examination showed good postoperative recovery.

Conclusions
The purpose of this study is to indicate that a safe and effective minimally invasive surgery for the giant congenital pulmonary airway malformation is feasible, even for infants only 4 days old.
Effect of a multi-citrus extract-based feed additive on the survival of rainbow trout (Oncorhynchus mykiss) following challenge with Lactococcus garvieae
Authors: Mora-Sánchez Brenda , Fuertes Héctor , Balcázar José Luis , Pérez-Sánchez Tania 
Published: July 2020

AbstractGrowing global concerns about antibiotic resistance have generated a considerable interest in the search for alternative environmental-friendly approaches. This study was aimed to assess the antimicrobial activity of a multi-citrus extract-based feed additive (Biocitro®) against some fish pathogens, as well as evaluate its capacity to protect rainbow trout (Oncorhynchus mykiss) to lactococcosis. A broth dilution method was used to determine the minimum inhibitory concentration (MIC) of Biocitro®, and the results showed a strong antibacterial activity against Aeromonas salmonicida, Lactococcus garvieae and Yersinia ruckeri with MIC values of 2.0 µg/mL. Afterwards, rainbow trout juveniles were fed a Biocitro®-enriched diet (750 mg/kg feed) at a daily rate of 1.5% body weight for 4 weeks, then they were challenged with L. garvieae by the cohabitation method. At the end of the experimental period, fish treated with Biocitro® showed significantly (P < 0.001) improved protection against L. garvieae compared to control fish. Although further studies are needed to understand how Biocitro® increases rainbow trout resistance to L. garvieae, this feed additive could be considered as a useful alternative to chemotherapeutic treatment in aquaculture.
Plantar pressure sensors indicate women to have a significantly higher peak pressure on the hallux, toes, forefoot, and medial of the foot compared to men
Authors: Yamamoto Tetsuya , Hoshino Yuichi , Kanzaki Noriyuki , Nukuto Koji , Yamashita Takahiro , Ibaraki Kazuyuki , Nagamune Kouki , Nagai Kanto , Araki Daisuke , Matsushita Takehiko , Kuroda Ryosuke 
Published: July 2020

AbstractBackgroundSex‐related differences of plantar pressure distribution during activities should be thoroughly inspected as it can help establish treatment and prevention strategies for foot and ankle problems. In‐shoe measurement systems are preferable without space and activity restrictions; however, previously reported systems are still heavy and bulky and induce unnatural movement. Therefore, a slim and light plantar pressure sensor was newly developed to detect the effect of sex difference on plantar pressure during standing and walking.MethodsOne‐hundred healthy adult volunteers (50 women and 50 men) were recruited. Ten plantar pressure sensors were implanted in a 1‐mm thick insole, with a total weight of 29 g. Plantar pressure was recorded with 200 Hz during 3 s of standing and while walking 10 steps. The maximum loads during standing and walking were analyzed in each sensor, and the results were compared between different areas of the foot in the antero‐posterior direction and the medio‐lateral direction and between different time points. The movement of the center of pressure (COP) during walking was also evaluated. Analyses were adjusted for body mass index and gait speed.ResultsThe movement of COP was constant for both sexes. In all cases, the maximum load was observed on the medial of the foot. Women had a significantly higher peak pressure on the hallux, toes, forefoot, and medial aspect of the foot compared to men while standing and walking (p < .05).ConclusionsA newly introduced in‐shoe plantar pressure sensor demonstrated a typical loading transition pattern of the foot. Furthermore, higher plantar pressure in the forefoot was detected in healthy women as compared to men during standing and walking activities.
Poorer prognosis of ovarian squamous cell carcinoma than serous carcinoma: a propensity score matching analysis based on the SEER database
Authors: Zhang Cheng , Ma Tai 
Published: July 2020

Abstract
Background
Ovarian squamous cell carcinoma (SCC) is a rare cancer with possible poor survival, however no direct evidence supports this viewpoint and the independent prognostic factors are controversial. Patients with ovarian SCC and serous carcinoma (SC) who were diagnosed between 2004 and 2016 were selected using the recent released SEER database. Propensity score matching was used to balance the characteristics of the two groups. The difference of survival between patients with ovarian SCC and SC was explored using Kaplan-Meier method. Cox regression analyses were performed to further identify the independent prognostic factors among patients with ovarian SCC.

Results
Of 15,286 patients (15,106 SC cases and 180 SCC cases), 304 were identified in the matched cohort (200 SC cases and 104 SCC cases). The overall survival and cause-specific survival for patients with SCC were significantly poorer (Plog-rank < 0.001). The median survival time was 21 months for SCC and 95 months for SC. Patients who underwent bilateral salpingo-oophorectomy with hysterectomy and omentectomy seemed to have a better outcome. In multivariate analysis, older age at diagnosis, larger tumor size, bilateral and FIGO stage IV malignancy were the independent risk factors for poor disease outcome.

Conclusions
The prognosis of ovarian SCC is worse than ovarian SC. Older age at diagnosis, advanced disease stage, larger tumor size and bilateral malignancy are the independent risk factors for poor survival.