bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adding ursodeoxycholic acid to the endoscopic treatment and common bile duct stenting
for large and multiple biliary stones: Will it improve the outcomes?
Authors: Hormati Ahmad , Ghadir Mohammad Reza , Sarkeshikian Seyed Saeed , Alemi Faezeh , Moghaddam Majid , Ahmadpour Sajjad , Mohammadbeigi Abolfazl , Sivandzadeh Gholam Reza 
Published: November 2020

Abstract

Background
The role of common bile duct (CBD) stenting in the establishment of bile stream in the elderly patients and the ones who are not good candidates for surgery due to not responding to treatments was well documented in previous studies. The current study aimed at investigating the effect of adding Ursodeoxycholic acid (UDCA) to CBD stenting alone in order to reduce the size of large and multiple CBD stones.

Methods
Clinical outcomes including success rates in CBD stones clearance, incidence of pancreatitis, perforation, bleeding, as well as, decrease in size of stones and liver enzymes after a two-month period were assessed in the UDCA + CBD stenting group.

Results
A total of 64 patients referring to Shahid Beheshti Hospital in Qom, Iran with multiple or large CBD stones (above three or larger than 15 mm) received standard endoscopic therapies and UDCA + CBD stenting (group B) and controls only received standard endoscopic therapies with only CBD stenting (group A). The mean reduction in the size of stones in group B was significantly higher than that of group A (3.22 ± 1.31 vs 4.09 ± 1.87 mm) (p = 0.034). There was no difference in the incidence rate of complications including pancreatitis, cholangitis, bleeding, and perforation between the two groups (P > 0.05).

Conclusion
Adding UDCA to CBD stenting, due to decrease in the stone size and subsequently facilitation of the stones outlet, can be considered as the first-line treatment for patients with large and multiple CBD stones. Also, in the cases with large or multi stones may be effective in reducing size and subsequently stone retrieval.
Trial registry The study protocol was approved by the Ethics Committee of Qom University of Medical Sciences (ethical code: IR.MUQ.REC.1397.075); the study was also registered in the Iranian Registry of Clinical Trials (No. IRCT20161205031252N8). This study adheres to CONSORT guidelines.
Renal dysfunction is associated with decline of cognitive function in community-dwelling older adults: Korean frailty and aging cohort study
Authors: Kong Ji Yoon , Kim Jin Sug , Kang Min Hye , Hwang Hyeon Seok , Won Chang Won , Jeong Kyung Hwan 
Published: November 2020

Abstract

Background
Cognitive decline is common in older adults. Similarly, the prevalence of renal dysfunction is also increased in the elderly population. We conducted this study to clarify the relationship between renal dysfunction and decline of cognitive function in community-dwelling elderly population.

Methods
A cross-sectional analysis was performed using data from the Korean Frailty and Aging Cohort Study, a nationwide cohort study. Total 2847 (1333 men, 1514 women) eligible participants were enrolled for this study. The estimated glomerular filtration rate (eGFR, mL/min/1.73m2) was calculated using the Chronic Kidney Disease Epidemiology Collaboration equation. Global cognitive function was assessed with the Mini-mental State Examination-Korean version. Other domains of cognitive function were tested with the Consortium to Establish a Registry for Alzheimer’s disease and the Frontal Assessment Battery.

Results
The mean age of all participants was 76.0 ± 3.9 years and eGFR (all in mL/min/1.73 m2) was 77.5 ± 14.3. And the mean eGFR was 91.7 ± 3.2 in quartile 1, 84.9 ± 1.8 in quartile 2, 76.1 ± 3.7 in quartile 3, and 57.2 ± 10.8 in quartile 4. In baseline characteristics, participants with lower eGFR tend to have lower cognitive function scores than participant with higher eGFR. In linear regression analysis, eGFR was correlated with the word list memory (β = 0.53, P = 0.005), word list recall (β = 0.86, P < 0.001), and word list recognition (β = 0.43, P = 0.030) after adjustment of confounding variables. Moreover, after multivariate adjustment the association with cognitive impairment in quartile 2 was stronger (adjusted OR: 1.535, 95% CI: 1.111–2.120, P = 0.009), and the ORs of cognitive impairment were 1.501 (95% CI: 1.084–2.079, P = 0.014) in quartile 3 and 1.423 (95% CI: 1.022–1.983, P = 0.037) in quartile 4.

Conclusion
In older adults, the immediate, recent memory, and recognition domains were significantly related to renal function. Also, the mild renal dysfunction was independently associated with impairment of global cognitive function. These results suggest that the early stages of renal dysfunction could be an effective target to prevent worsening of cognitive impairment. Therefore, regular monitoring and early detection of mild renal dysfunction in elderly population might be needed.
Diversity of SCCmec elements and spa types in South African Staphylococcus aureus mecA-positive blood culture isolates
Authors: Singh-Moodley Ashika , Lowe Michelle , Mogokotleng Ruth , Perovic Olga 
Published: November 2020

Abstract

Background
The prevalence of Staphylococcus aureus varies depending on the healthcare facility, region and country. To understand its genetic diversity, transmission, dissemination, epidemiology and evolution in a particular geographical location, it is important to understand the similarities and variations in the population being studied. This can be achieved by using various molecular characterisation techniques. This study aimed to provide detailed molecular characterisation of South African mecA-positive S. aureus blood culture isolates by describing the SCCmec types, spa types and to lesser extent, the sequence types obtained from two consecutive national surveillance studies.

Methods
S. aureus blood culture isolates from a national laboratory-based and enhanced surveillance programme were identified and antimicrobial susceptibility testing was performed using automated systems. A real-time PCR assay confirmed the presence of the methicillin-resistance determinant, mecA. Conventional PCR assays were used to identify the SCCmec type and spa type, which was subsequently analysed using the Ridom StaphType™ software. Multilocus sequence typing was performed on selected isolates using conventional methods. MRSA clones were defined by their sequence type (ST), SCCmec type and spa type.

Results
A detailed description of findings is reported in this manuscript. SCCmec type III predominated overall followed by type IV. A total of 71 different spa types and 24 novel spa types were observed. Spa type t037 was the most common and predominated throughout followed by t1257. Isolates were multidrug resistant; isolates belonging to all SCCmec types were resistant to most of the antibiotics with the exception of type I; isolates with spa type t045 showed resistance to all antibiotics except vancomycin. The most diverse SCCmec-spa type complex was composed of the SCCmec type IV element and 53 different spa types.

Conclusion
Although ST data was limited, thereby limiting the number of clones that could be identified, the circulating clones were relatively diverse.
Gastric antral vascular ectasia in a patient with lupus undergoing hemodialysis: a case report
Authors: Kang Seok Hui , Kim A Young , Do Jun Young 
Published: November 2020

Abstract

Background
Gastric antral vascular ectasia (GAVE), associated with autoimmune diseases, such as systemic lupus erythematosus, and hepatic or renal disorders, is a rare cause of gastrointestinal bleeding. We report the case of a patient with lupus erythematosus undergoing hemodialysis with an uncorrectable anemia caused by GAVE.

Case presentation
A 76-year-old Korean woman with lupus undergoing hemodialysis frequently complained of symptoms or signs associated with anemia, such as dizziness, dyspnea, hypotension, melena, and hematemesis. Gastrointerstinal endoscopy revealed multiple erythematous and hyperemic mucosal lesions at the distal antrum without active bleeding, a finding compatible with GAVE. Although she frequently complained of symptoms or signs associated with anemia and had frequent gastrointestinal endoscopies with or without pre-emptive argon plasma coagulation, her clinical status is relatively stable, and she is undergoing maintenance hemodialysis without anticoagulants.

Conclusion
This clinical case suggests that GAVE should be considered as a cause of the anemia resistant to erythropoiesis-stimulating agents and iron supplementation in patients with chronic kidney disease and lupus.
Willingness to perform induced abortion and associated factors among graduating midwifery, medical, nursing, and public health officer students of University of Gondar, Northwest Ethiopia: institution based cross sectional study
Authors: Enyew Mihretu Molla 
Published: November 2020

Abstract

Background
In developing countries, abortion is often unsafe and a significant cause of maternal morbidity and mortality accounting for about 8% (4.7–13.2%) of maternal mortality worldwide. Internationally, safe abortion services are recognized as reducing maternal mortality, and liberalized abortion laws are associated with reduced mortality resulting from unsafe abortion procedures. However, health care providers have moral, social and gender-based reservations that affects their willingness towards providing induced abortion services. The purpose of this study was to assess willingness to perform induced abortion and associated factors among graduating Midwifery, Medical, Nursing, and Public health officer students of University of Gondar.

Methods
Institution based cross sectional study was conducted from March 29 to May 30, 2019. All graduating students available during data collection period were considered as study population. Stratified simple random sampling technique was used to select 424 study participants. Pre tested, semi- structured, self-administered questionnaire was used to collect data. Data analysis was done using SPSS version 20. Ethical clearance was obtained from School of midwifery under the delegation of institutional review board of university of Gondar.

Results
Two hundred ninety students out of 424 students were willing to perform induced abortion for indications supported by Ethiopian abortion law, making a proportion of 68.4% (95%Cl: 64.2, 72.9). Sex (Being male (AOR = 4.89, 95%CI: 3.02, 7.89)), religion (being orthodox than protestant (AOR = 10.41, 95%CI: 3.02, 21.57)), being Muslim than protestant (AOR = 5.73, 95%CI: 1.37, 15.92)) and having once or less a week religious attendance (AOR = 2.00, 95% CI: 1.20, 3.34) were factors associated with willingness towards performing induced abortion.

Conclusions
According to this study willingness of students towards providing induced abortion services was good. However female students, protestant followers and those students with more than once a week religious attendance should be encouraged to support women’s access to induced abortion services by referring them to other health care professionals willing to provide induced abortion services.
Combination of phenotype and polygenic risk score in breast cancer risk evaluation in the Spanish population: a case –control study
Authors: Triviño J. C. , Ceba A. , Rubio-Solsona E. , Serra D. , Sanchez-Guiu I. , Ribas G. , Rosa R. , Cabo M. , Bernad L. , Pita G. , Gonzalez-Neira A. , Legarda G. , Diaz J. L. , García-Vigara A. , Martínez-Aspas A. , Escrig M. , Bermejo B. , Eroles P. , Ibáñez J. , Salas D. , Julve A. , Cano A. , Lluch A. , Miñambres R. , Benitez J. 
Published: November 2020

Abstract

Background
In recent years, the identification of genetic and phenotypic biomarkers of cancer for prevention, early diagnosis and patient stratification has been a main objective of research in the field. Different multivariable models that use biomarkers have been proposed for the evaluation of individual risk of developing breast cancer.

Methods
This is a case control study based on a population-based cohort. We describe and evaluate a multivariable model that incorporates 92 Single-nucleotide polymorphisms (SNPs) (Supplementary Table S1) and five different phenotypic variables and which was employed in a Spanish population of 642 healthy women and 455 breast cancer patients.

Results
Our model allowed us to stratify two groups: high and low risk of developing breast cancer. The 9th decile included 1% of controls vs 9% of cases, with an odds ratio (OR) of 12.9 and a p-value of 3.43E-07. The first decile presented an inverse proportion: 1% of cases and 9% of controls, with an OR of 0.097 and a p-value of 1.86E-08.

Conclusions
These results indicate the capacity of our multivariable model to stratify women according to their risk of developing breast cancer. The major limitation of our analysis is the small cohort size. However, despite the limitations, the results of our analysis provide proof of concept in a poorly studied population, and opens up the possibility of using this method in the routine screening of the Spanish population.
Leukemia mortality in children from Latin America: trends and predictions to 2030
Authors: Torres-Roman J. Smith , Valcarcel Bryan , Guerra-Canchari Pedro , Santos Camila Alves Dos , Barbosa Isabelle Ribeiro , La Vecchia Carlo , McGlynn Katherine A. , de Souza Dyego Leandro Bezerra 
Published: November 2020

Abstract
Background
Reports suggest that Latin American and Caribbean (LAC) countries have not reduced leukemia mortality compared to high-income countries. However, updated trends remain largely unknown in the region. Given that leukemia is the leading cause of cancer-related death in LAC children, we evaluated mortality trends in children (0-14y) from 15 LAC countries for the period 2000–2017 and predicted mortality to 2030.

Methods
We retrieved cancer mortality data using the World Health Organization Mortality Database. Mortality rates (standardized to the world standard SEGI population) were analyzed for 15 LAC countries. We evaluated the average mortality rates for the last 5 years (2013–2017). Joinpoint regression analysis was used to evaluate leukemia mortality trends and provide an estimated annual percent change (EAPC). Nordpred was utilized for the calculation of predictions until 2030.

Results
Between 2013 and 2017, the highest mortality rates were reported in Venezuela, Ecuador, Nicaragua, Mexico, and Peru. Upward mortality trends were reported in Nicaragua (EAPC by 2.9% in boys, and EAPC by 2.0% in girls), and Peru (EAPC by 1.4% in both sexes). Puerto Rico experienced large declines in mortality among both boys (EAPC by − 9.7%), and girls (EAPC by − 6.0%). Leukemia mortality will increase in Argentina, Ecuador, Guatemala, Panama, Peru, and Uruguay by 2030.

Conclusion
Leukemia mortality is predicted to increase in some LAC countries by 2030. Interventions to prevent this outcome should be tailor to reduce the socioeconomic inequalities and ensure universal healthcare coverage.
Mean core to peripheral temperature difference and mean lactate levels in first 6 hours of hospitalisation as two indicators of prognosis: an observational cohort study
Authors: Gupta Aashish , Puliyel Jacob , Garg Bhawana , Upadhyay Pramod 
Published: November 2020

AbstractBackgroundTo study mean core to peripheral temperature difference (CPTD) and the mean lactate levels over the first 6 h of admission to hospital, as indicators of prognosis in critically ill children.MethodsA prospective observational study in a tertiary level Pediatrics ICU in Delhi, India. Seventy eight paediatric patients from 1 month to 12 years were studied. Children with physical trauma, post-surgical patients and patients with peripheral vascular disease were excluded. Core temperature (skin over temporal artery) to peripheral temperature (big toe) difference was measured repeatedly every minute over 6 h and mean of temperature difference was calculated. Pediatric Risk of Mortality (PRISM) II, lactate clearance and mean lactate levels during that time were also studied. In-hospital mortality was used as the outcome measure.ResultsMean temperature differenceDuring the first 6 h after admission the mean temperature difference was 9.37 ± 2 °C in those who died and 3.71 ± 2.27 °C in those who survived (p < 0.0001). The area under the receiver operating curve (AUROC) was 0.953 (p < 0.0001). The comparable AUROC of PRISM II was 0.999 (p < 0.0001).Mean LactateMean lactate level in the first 6 h was 7.1 ± 2.02 mg/dl in those who died compared to 2.86 ± 0.87 mg/dl in those who survived (p < 0.0001). The AUROC curve for mean lactate was 0.989 (95% CI = 0.933 to 0.999;p < 0.0001). AUROC for the lactate clearance was 0.682 (p = 0.0214).ConclusionsThe mean core to peripheral temperature difference over the first 6 h is an easy-to-use and non-invasive method that is useful to predict mortality in children admitted to the Pediatric ICU. The mean lactate during the first 6 h of Pediatric ICU admission is a better index of prognosis than the lactate clearance over the same time period. They may be used as components of a scoring system to predict mortality.
Prospective prediction of PTSD diagnosis in a nationally representative sample using machine learning
Authors: Worthington Michelle A. , Mandavia Amar , Richardson-Vejlgaard Randall 
Published: November 2020

Abstract

Background
Recent research has identified a number of pre-traumatic, peri-traumatic and post-traumatic psychological and ecological factors that put an individual at increased risk for developing PTSD following a life-threatening event. While these factors have been found to be associated with PTSD in univariate analyses, the complex interactions of these risk factors and how they contribute to individual trajectories of the illness are not yet well understood. In this study, we examine the impact of prior trauma, psychopathology, sociodemographic characteristics, community and environmental information, on PTSD onset in a nationally representative sample of adults in the United States, using machine learning methods to establish the relative contributions of each variable.

Methods
Individual risk factors identified in Waves 1 of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) were combined with community-level data for the years concurrent to the NESARC Wave 1 (n = 43,093) and 2 (n = 34,653) surveys. Machine learning feature selection and classification analyses were used at the national level to create models using individual- and community-level variables that would best predict the new onset of PTSD at Wave 2.

Results
Our classification algorithms yielded 89.7 to 95.6% accuracy for predicting new onset of PTSD at Wave 2. A prior diagnosis of DSM-IV-TR Borderline Personality Disorder, Major Depressive Disorder or Anxiety Disorder conferred the greatest relative influence in new diagnosis of PTSD. Distal risk factors such as prior psychiatric diagnosis accounted for significantly greater relative risk than proximal factors (such as adverse event exposure).

Conclusions
Our findings show that a machine learning classification approach can successfully integrate large numbers of known risk factors for PTSD into stronger models that account for high-dimensional interactions and collinearity between variables. We discuss the implications of these findings as pertaining to the targeted mobilization emergency mental health resources. These findings also inform the creation of a more comprehensive risk assessment profile to the likelihood of developing PTSD following an extremely adverse event.
Occupational stress and psychological health impact on hypertension of miners in noisy environment in Wulumuqi, China: a case-control study
Authors: Lu Yaoqin , Yan Huan , Yang Jiandong , Liu Jiwen 
Published: November 2020

AbstractBackgroundHypertension has been declared as a global public health crisis by the World Health Organization, because of its high prevalence. It affects the health of one billion people worldwide and is directly responsible for the deaths of more than 10 million people per year. The purpose of our research was to explore the influence of occupational stress and psychological health on hypertension of miners who work in a noisy environment and provide decision reference for relevant departments to keep miners’ health.MethodsA case-control study was carried out in this research. The study subjects were divided into case groups and control groups based on whether they had hypertension or not. Effort-Reward Imbalance questionnaire and Self-Reporting Inventory questionnaire were used to investigate the psychological health status and occupational stress of the target population. General information was balanced between case and control groups through propensity score matching method. After propensity score matching, a multifactorial analysis was used to explore the impact of occupational stress and psychological health on hypertension.ResultsAccording to the result of the multivariate analysis, psychological health was hazard to hypertension (t = 5.080,P<0.001) and occupational stress was not a direct risk factor for hypertension (t = 1.760,P = 0.080). The model was statistically significant (χ2 = 20.4,P<0.01).ConclusionsFor miners working in the noisy environment, psychological status was a direct risk factor to hypertension, while occupational stress was an indirect factor.
Area based stratified random sampling using geospatial technology in a community-based survey
Authors: Howell Carrie R. , Su Wei , Nassel Ariann F. , Agne April A. , Cherrington Andrea L. 
Published: November 2020

Abstract

Background
Most studies among Hispanics have focused on individual risk factors of obesity, with less attention on interpersonal, community and environmental determinants. Conducting community based surveys to study these determinants must ensure representativeness of disparate populations. We describe the use of a novel Geographic Information System (GIS)-based population based sampling to minimize selection bias in a rural community based study.

Methods
We conducted a community based survey to collect and examine social determinants of health and their association with obesity prevalence among a sample of Hispanics and non-Hispanic whites living in a rural community in the Southeastern United States. To ensure a balanced sample of both ethnic groups, we designed an area stratified random sampling procedure involving three stages: (1) division of the sampling area into non-overlapping strata based on Hispanic household proportion using GIS software; (2) random selection of the designated number of Census blocks from each stratum; and (3) random selection of the designated number of housing units (i.e., survey participants) from each Census block.

Results
The proposed sample included 109 Hispanic and 107 non-Hispanic participants to be recruited from 44 Census blocks. The final sample included 106 Hispanic and 111 non-Hispanic participants. The proportion of Hispanic surveys completed per strata matched our proposed distribution: 7% for strata 1, 30% for strata 2, 58% for strata 3 and 83% for strata 4.

Conclusion
Utilizing a standardized area based randomized sampling approach allowed us to successfully recruit an ethnically balanced sample while conducting door to door surveys in a rural, community based study. The integration of area based randomized sampling using tools such as GIS in future community-based research should be considered, particularly when trying to reach disparate populations.