bluuebunny/crossref_metadata_2025_split huggingface dataset:
Older Adult Patients Are at Lower Risk of ARDS Compared to Younger Patients at Risk: Secondary Analysis of a Multicenter Cohort Study
Authors: Reynolds Daniel , Kashyap Rahul , Wallace Lindsey , Gajic Ognjen , Yadav Hemang 
Published: May 2019

Introduction: Older adult individuals often have acute illnesses predisposing them to developing acute respiratory distress syndrome (ARDS). We aimed to identify the relationship between age and the development of ARDS in a cohort of hospitalized patients. Methods: This was a secondary analysis of a prospective multicenter observational cohort study of hospitalized patients at risk of developing ARDS admitted to 22 hospitals from March 2009 to August 2009. Patients were classified as older adults if their age was 80 or greater. A multivariable logistic regression was performed, adjusting for severity of illness via Acute Physiology and Chronic Health Evaluation (APACHE II) and risk of ARDS via Lung Injury Prediction Score. Results: Of 5584 patients, 377 (6.8%) developed ARDS. Twenty-four (3.5%) of 694 patients aged 80 or older developed ARDS, compared to 353 (7.2%) of 4890 patients aged less than 80 ( P < .001). After adjusting for severity of illness and the risk of ARDS development, older adult patients had a lower incidence of ARDS compared to younger individuals (odds ratio: 0.28, 95% confidence interval: 0.18-0.42). Conclusion: Older adult patients aged 80 years or older have a reduced incidence of ARDS compared to younger patients, after adjusting for severity of illness and risk of ARDS development.
Factors Associated With Breastfeeding Among Women With Gestational Diabetes
Authors: Reinheimer Shaline Modena , Schmidt Maria Inês , Duncan Bruce Bartholow , Drehmer Michele 
Published: May 2019

Background: Breastfeeding offers benefits to mother and child but is frequently not practiced among women whose pregnancy is complicated by gestational diabetes mellitus. Factors associated with not initiating or not maintaining breastfeeding among these women have been little investigated. Research aims: (1) To evaluate the frequency of breastfeeding for 30 days among women with a recent pregnancy complicated by gestational diabetes and (2) to determine factors associated with not initiating or not maintaining breastfeeding. Methods: Between January 2014 and July 2017 we enrolled women with gestational diabetes at high-risk prenatal services in three Brazilian cities. We collected baseline sociodemographic and health data and followed up with participants by telephone. Using Kaplan–Meier curves, we calculated the proportions of participants not initiating breastfeeding or not maintaining it for at least 30 days. We used Poisson regression with robust variance to identify factors related to this outcome. Results: Of the 2328 participants with complete information, 2236 (96.1%) initiated breastfeeding, and 2166 (93.1%) maintained breastfeeding for 30 days. Not having breastfed the previous infant (relative risk [RR] = 5.02, 95% CI [3.39, 7.45]), smoking during pregnancy (RR = 2.37, 95% CI [1.48, 3.80]), infant with health problems (RR = 2.25, 95% CI [1.27, 3.99]), early preterm birth (RR = 2.49, 95% CI [1.07, 5.77]), and not intending to breastfeed (RR = 3.73, 95% CI [1.89, 7.33]) were related to not maintaining breastfeeding for at least 30 days. Conclusions: Breastfeeding initiation was nearly universal among participants, and most maintained breastfeeding for 30 days. Factors relating to not breastfeeding at 30 days were easily identifiable.
Stranger in the garden: Ricinus communis, 17 cases of intoxication
Authors: Boğan Mustafa , Oktay M Murat , Sabak Mustafa , Gümüşboğa Hasan , Eren Şevki Hakan 
Published: May 2019

Introduction: Ricinus communis is used as a decoration in landscape gardening in Turkey. In industrialized countries, however, it is used in many sectors, including the chemical, pharmaceutical, and fertilizer sectors; it is also used in cosmetics and biodiesel fuel production. In this presentation, 17 patients who ingested R. communis seeds are examined. Cases: Seventeen patients who ate the seeds of an unknown plant that grows in their gardens came to the emergency department with nausea, vomiting, and stomach ache complaints 4 h after ingesting the seeds. All patients were admitted to the critical care unit, monitored, and started on supportive treatment. After the treatment, patients’ vital signs and laboratory parameters were stable. Seven patients were discharged the next day upon the regression of symptoms. The remaining 10 patients were successfully discharged 2 days after the treatment. There are cases in medical literature where consumption of one-half of a R. communis seed resulted in death. In our presentation, each patient consumed one to four (2.18 on average) R. communis seeds, and the symptoms were over within 2 days. The clinical course ended without any cases of death, and all patients were discharged in good condition. Conclusion: Emergency physicians have to know the clinical course and medical methods regarding intoxication due to oral consumption of toxic plants. Severe toxicity and even mortality can be observed with the ingestion of the seeds of the plant. Similar symptoms (nausea, vomiting, and abdominal pain) were observed in all our cases, but no mortality was observed.
Remote neuropsychological assessment of elderly Japanese population using the Alzheimer’s Disease Assessment Scale: A validation study
Authors: Yoshida Kazunari , Yamaoka Yoshitaka , Eguchi Yoko , Sato Daisuke , Iiboshi Kiyoko , Kishimoto Megumi , Mimura Masaru , Kishimoto Taishiro 
Published: May 2019

Introduction Studies have demonstrated the high agreement of several remote neuropsychological tests using video teleconferencing (VTC) with face-to-face (FTF) tests. However, the reliability of the remotely administered Alzheimer’s Disease Assessment Scale cognitive subscale (ADAS-cog), one of the most commonly used neuropsychological tests to detect cognitive decline, has not been substantially elucidated, particularly in Japanese populations. Therefore, this study aimed to evaluate the reliability of the remotely administered ADAS-cog compared with FTF-administered ADAS-cog among elderly Japanese participants. Methods Participants aged ≥60 years with and without cognitive impairment, i.e. those with mild cognitive impairment (MCI), those with dementia and healthy controls (HCs), were assessed with the ADAS-cog using VTC and FTF testing at an interval of >2 weeks and <3 months. The assessment order (VTC or FTF) was randomized by participants. Participants’ scores were compared among the entire sample, as well as subgroups, using intra-class correlation coefficients (ICCs) in a mixed-effects model. Results A total of 73 participants were included in the study (36 men; age, 76.3 ± 7.6 years). The ICC for the ADAS-cog total score was high in the entire sample (0.86), whereas ICCs were moderate to high for the subgroups (MCI: 0.63, dementia: 0.80 and HC: 0.74). Discussion The results indicate that a VTC-administered ADAS-cog could be an alternative for an FTF-administered ADAS-cog, although further replication studies with larger sample sizes and a wider range of cognitive functionalities are warranted.
Prevalence and Correlates of the Co-Occurrence of Family Violence: A Meta-Analysis on Family Polyvictimization
Authors: Chan Ko Ling , Chen Qiqi , Chen Mengtong 
Published: May 2019

Objective: The aims of this study are to (a) provide reliable estimates of prevalence rates of family polyvictimization by synthesizing the findings from the existing literature, (b) examine the effect sizes of the impact of one type of family victimization on other types of family victimization, and (c) investigate the correlates of family polyvictimization. Method: Databases of literature published on or before April 2018 were searched. A total of 59 publications met the inclusion criteria and were included in the analysis for the combined odds ratios ( ORs) to estimate the associations among different types of family victimization; 38 of them (99,956 participants) were used for the calculation of the combined prevalence rates of family polyvictimization. Findings: The overall co-occurrence rates of family victimization were 9.7% among the general population and 36.0% among the clinical population. The combined OR of other type(s) of victimization when one was present was 6.01 ( p < .001). Longitudinal studies show that, when a family reported intimate partner violence, the odds of child abuse and neglect within the same family at a later stage was 3.64 ( p < .001). Depression and post-traumatic stress disorder were two significant correlates associated with family polyvictimization. Conclusion: Family polyvictimization is prevalent across the world. The high co-occurrence rates and strong associations between different types of victimization on different family members warrant the need for the early detection of victims and effective preventions and interventions using a family approach, instead of treating victims from the same family individually.
Preclinical and clinical studies of smoke-inhalation-induced acute lung injury: update on both pathogenesis and innovative therapy
Authors: Guo Bingxin , Bai Yichun , Ma Yana , Liu Cong , Wang Song , Zhao Runzhen , Dong Jiaxing , Ji Hong-Long 
Published: May 2019

Smoke-inhalation-induced acute lung injury (SI-ALI) is a leading cause of morbidity and mortality in victims of fire tragedies. SI-ALI contributes to an estimated 30% of burn-caused patient deaths, and recently, more attention has been paid to the specific interventions for this devastating respiratory illness. In the last decade, much progress has been made in the understanding of SI-ALI patho-mechanisms and in the development of new therapeutic strategies in both preclinical and clinical studies. This article reviews the recent progress in the treatment of SI-ALI, based on pathophysiology, thermal damage, airway obstruction, the nuclear-factor kappa-B signaling pathway, and oxidative stress. Preclinical therapeutic strategies include use of mesenchymal stem cells, hydrogen sulfide, peroxynitrite decomposition catalysts, and proton-pump inhibitors. Clinical interventions include high-frequency percussive ventilation, perfluorohexane, inhaled anticoagulants, and nebulized epinephrine. The animal model, dose, clinical application, and pharmacology of these medications are summarized. Future directions and further needs for developing innovative therapies are discussed. The reviews of this paper are available via the supplementary material section.
Knowledge of physical activity guidelines and mental health benefits among Emirati university students
Authors: Doyle CB , Khan A , Burton NW 
Published: May 2019

Aims: The purpose of this study was to assess Emirati university students’ knowledge of physical activity guidelines and perceptions of the benefits of physical activity for mental health. Methods: A random sample ( n = 628) completed an online questionnaire assessing the recommended amount of physical activity for good health (min/week) and to what extent exercise can help improve wellbeing, and manage depression and anxiety/stress (5-point Likert-type scale). Results: Only 3% of respondents identified 150 min/week and less than half (39%) of the respondents reported an amount within the range of 150–300 min/week. Most respondents believed that physical activity could improve wellbeing (69%), and manage depression (71%) and anxiety/stress (74%). Females were more likely than males to view physical activity as a way to manage depression ( p = .003), and anxiety/stress ( p = .002). Conclusions: More work may be required to promote awareness of physical activity guidelines in this population, and males’ awareness of mental health benefits of physical activity.
Understanding Visual Impairment and Its Impact on Patients: A Simulation-Based Training in Undergraduate Medical Education
Authors: Juniat Valerie , Bourkiza Rabia , Das Aditi , Das-Bhaumik Raja , Founti Panagiota , Yeo Christopher , Mathew Rashmi , Okhravi Narciss 
Published: May 2019

Introduction: Simulation activities are valuable teaching aids for understanding about living with visual impairment (VI). Our medical students used low-vision simulation spectacles (Sim-specs) to enable learning about VI. Methods: Students made tea and filled dosette boxes using Sim-specs simulating central visual loss (age-related macular degeneration) and navigated using Sim-specs simulating peripheral visual loss (glaucoma). Facilitators recorded errors made for each task. Students completed questionnaires to grade the tasks’ difficulty on a 4-point Likert-type scale. The students also participated in focus groups to discuss how their approach to working with patients may change following this training. Results: In total, 252 out of 254 students participated. Central visual loss provided the greatest challenge when undertaking fine motor skilled activity (dosette box). Highest average number of errors made was for dosette box task (0.70 error), followed by navigation (0.59), then making tea task (0.34). Students scored the most difficult task on average as the dosette box task (3.23 Likert-type points), followed by navigation (2.97), then making tea task (2.63). Our students have shown learning in recognising the challenges of VI and have adapted their approach to patients. Conclusions: Simulation activities are valuable additions to the undergraduate curriculum. Such activities can potentially enable greater empathy for our visually impaired patients.
Height-corrected low bone density associates with severe outcomes in sickle cell disease: SCCRIP cohort study results
Authors: Adesina Oyebimpe O. , Gurney James G. , Kang Guolian , Villavicencio Martha , Hodges Jason R. , Chemaitilly Wassim , Kaste Sue C. , Zemel Babette S. , Hankins Jane S. 
Published: May 2019

AbstractLow bone mineral density (BMD) disproportionately affects people with sickle cell disease (SCD). Growth faltering is common in SCD, but most BMD studies in pediatric SCD cohorts fail to adjust for short stature. We examined low BMD prevalence in 6- to 18-year-olds enrolled in the Sickle Cell Clinical Research and Intervention Program (SCCRIP), an ongoing multicenter life span SCD cohort study initiated in 2014. We calculated areal BMD for chronological age and height-adjusted areal BMD (Ht-aBMD) z scores for the SCCRIP cohort, using reference data from healthy African American children and adolescents enrolled in the Bone Mineral Density in Childhood Study. We defined low BMD as Ht-aBMD z scores less than or equal to –2 and evaluated its associations with demographic and clinical characteristics by using logistic regression analyses. Of the 306 children and adolescents in our study cohort (mean age, 12.5 years; 50% female; 64% HbSS/Sβ0-thalassemia genotype; 99% African American), 31% had low areal BMD for chronological age z scores and 18% had low Ht-aBMD z scores. In multivariate analyses, low Ht-aBMD z scores associated with adolescence (odds ratio [OR], 7.7; 95% confidence interval [CI], 1.94-30.20), hip osteonecrosis (OR, 4.0; 95% CI, 1.02-15.63), chronic pain (OR, 10.4; 95% CI, 1.51-71.24), and hemoglobin (OR, 0.74; 95% CI, 0.57-0.96). Despite adjusting for height, nearly 20% of this pediatric SCD cohort still had very low BMD. As the SCCRIP cohort matures, we plan to prospectively evaluate the longitudinal relationship between Ht-aBMD z scores and markers of SCD severity and morbidity.
Visualizing and measuring gold leaf in fourteenth- and fifteenth-century Italian gold ground paintings using scanning macro X-ray fluorescence spectroscopy: a new tool for advancing art historical research
Authors: MacLennan Douglas , Llewellyn Laura , Delaney John K. , Dooley Kathryn A. , Patterson Catherine Schmidt , Szafran Yvonne , Trentelman Karen 
Published: May 2019

Abstract
The size, shape, and application techniques of gold leaf in fourteenth- and fifteenth-century gold ground panel paintings attributed to artists working in Florence, Siena, and Fabriano was directly visualized using in situ scanning macro X-ray fluorescence spectroscopy (MA-XRF). The resulting gold (Au) Lα (9.712 keV) element distribution maps are of sufficient spatial resolution to enable an accurate and reproducible measurement of the shape and size of individual gold leaves. The resulting leaf measurements are discussed in the context of historical guild regulations, in particular, the 1403 reforms to the statutes of the Florentine Guild of Doctors and Apothecaries (Arte dei medici e speziale), which standardized the dimensions of gold leaf produced in Florence. The dimensions of the gold leaf from Florentine paintings created before and after the 1403 reforms were compared to each other as well as to gold ground paintings created in Siena and Fabriano. The results revealed the gold leaf squares in fourteenth-century Florentine and Sienese panels had side lengths averaging about 8 cm. In contrast, the gold leaf squares used in the fifteenth-century Florentine and Sienese paintings were smaller, with side lengths measuring about 7 cm. In addition, the degree of overlap between adjacent gold leaves was also measured. The amount of overlap was found to vary between artists, and the degree of overlap was consistent within the oeuvre of a specific artist. Taken together, these results suggest that the dimensions of the gold leaves found in panel paintings relate to the place of production on the Italian peninsula and the period in which they were created, while the degree of overlap relates to the individual hand of a gilder or artist/workshop.
Seismic characterization of submarine gas-hydrate deposits in the Western Black Sea by acoustic full-waveform inversion of ocean-bottom seismic data
Authors: Gassner Laura , Gerach Tobias , Hertweck Thomas , Bohlen Thomas 
Published: May 2019

Evidence for gas-hydrate occurrence in the Western Black Sea is found from seismic measurements revealing bottom-simulating reflectors (BSRs) of varying distinctness. From an ocean-bottom seismic data set, low-resolution traveltime-tomography models of P-wave velocity [Formula: see text] are constructed. They serve as input for acoustic full-waveform inversion (FWI), which we apply to derive high-resolution parameter models aiding the interpretation of the seismic data for potential hydrate and gas deposits. Synthetic tests indicate the applicability of the FWI approach to robustly reconstruct [Formula: see text] models with a typical hydrate and gas signature. Models of S-wave velocity [Formula: see text] containing a hydrate signature can only be reconstructed when the parameter distribution of [Formula: see text] is already well-known. When we add noise to the modeled data to simulate field-data conditions, it prevents the reconstruction of [Formula: see text] completely, justifying the application of an acoustic approach. We invert for [Formula: see text] models from field data of two parallel profiles of 14 km length with a distance of 1 km. Results indicate a characteristic velocity trend for hydrate and gas occurrence at BSR depth in the first of the analyzed profiles. We find no indications for gas accumulations below the BSR on the second profile and only weak indications for hydrate. These differences in the [Formula: see text] signature are consistent with the reflectivity behavior of the migrated seismic streamer data of both profiles in which a zone of high-reflectivity amplitudes is coincident with the potential gas zone derived from the FWI result. Calculating saturation estimates for the potential hydrate and gas zones yields values of up to 30% and 1.2%, respectively.
Machine-learning algorithm for estimating oil-recovery factor using a combination of engineering and stratigraphic dependent parameters
Authors: Aliyuda Kachalla , Howell John 
Published: May 2019

The methods used to estimate recovery factor change through the life cycle of a field. During appraisal, prior to development when there are no production data, we typically rely on analog fields and empirical methods. Given the absence of a perfect analog, these methods are typically associated with a wide range of uncertainty. During plateau, recovery factors are typically associated with simulation and dynamic modeling, whereas in later field life, once the field drops off the plateau, a decline curve analysis is also used. The use of different methods during different stages of the field life leads to uncertainty and potential inconsistencies in recovery estimates. A wide range of interacting, partially related, reservoir and production variables controls the production and recovery factor. Machine learning allows more complex multivariate analysis that can be used to investigate the roles of these variables using a training data set and then to ultimately predict future performance in fields. To investigate this approach, we used a data set consisting of producing reservoirs all of which are at plateau or in decline to train a series of machine-learning algorithms that can potentially predict the recovery factor with minimal percentage error. The database for this study consists of categorical and numerical properties for 93 reservoirs from the Norwegian Continental Shelf. Of these, 75 are from the Norwegian Sea, the Norwegian North Sea, and the Barents Sea, whereas the remaining 18 reservoirs are from the Viking Graben in the UK sector of the North Sea. The data set was divided into training and testing sets: The training set comprised approximately 80% of the total data, and the remaining 20% was the testing set. Linear regression models and a support vector machine (SVM) models were trained with all parameters in the data set (30 parameters); then with the 16 most influential parameters in the data set, the performance of these models was compared from results of fivefold crossvalidation. SVM training using a combination of 16 geologic/engineering parameters models with Gaussian kernel function has a root-mean-square error of 0.12, mean square error of 0.01, and [Formula: see text]-squared of 0.76. This model was tested on 18 reservoirs from the testing set; the test results are very similar to crossvalidation results during models training phase, suggesting that this method can potentially be used to predict the future recovery factor.