bluuebunny/crossref_metadata_2025_split huggingface dataset:
Variations of Public Opinion Towards Face Veiling: Arguments in the Swiss Debate
Authors: Eugster Beatrice 
Published: October 2021

AbstractThis study focuses on public opinion towards the face veiling of Muslim women and investigates the possibility of identifying different groups of citizens supporting distinct combinations of arguments regarding face veiling criticisms. Two groups are expected to argue for or against face veiling. Also, two other groups are expected to vary depending on their idea of liberalism inherent in face‐veiling arguments: a specific way of life versus respect for different ways of life. Using latent class (regression) analysis, the findings show that different groups emerged and that the political leftists were more diverse regarding argument patterns than the political rightists. Following the debate of why many political leftists have negative attitudes towards religious practices, this study does not find empirical support that anti‐Muslim and anti‐Islam attitudes systematically differ between the observed groups.
Time‐course quantitative mapping of caffeine within the epidermis, using high‐contrast pump–probe stimulated Raman scattering microscopy
Authors: Iguchi Risa , Nishi Yoji , Ogihara Tsuyoshi , Ito Terumasa , Matsuoka Fumiaki , Misawa Kazuhiko 
Published: October 2021

AbstractBackgroundAn assessment of the drug penetration and distribution profiles within the skin is essential in dermatology and cosmetology. Recent advances in label‐free imaging technologies have facilitated the direct detection of unlabeled compounds in tissues, with high resolution. However, it remains challenging to provide quantitative time‐course distribution maps of drugs within the complex skin tissue. The present study aims at acquiring the real‐time quantitative skin penetration profiles of topically applied caffeine, by means of a combination of pump–probe phase‐modulated stimulated Raman scattering (PM‐SRS) and confocal reflection microscopy. The recently developed PM‐SRS microscopy is a unique imaging tool that can minimize strong background signals through a pulse‐shaping technique, while providing high‐contrast images of small molecules in tissues.Materials and methodsReconstructed human skin epidermis models were used in order to analyze caffeine penetration in tissues. The penetration profiles of caffeine in an aqueous solution, an oil‐in‐water gel, and a water‐in‐oil gel were examined by combining PM‐SRS and confocal reflection microscopy.ResultsThe characteristic Raman signal of caffeine was directly detected in the skin model using PM‐SRS. Integrating PM‐SRS and confocal reflection microscopy allowed real‐time concentration maps of caffeine to be obtained from formulation samples, within the skin model. Compared with the conventional Raman detection method, PM‐SRS lowered the background tissue‐oriented signals and supplied high‐contrast images of caffeine.ConclusionWe successfully established real‐time skin penetration profiles of caffeine from different formulations. PM‐SRS microscopy proved to be a powerful, non‐invasive, and real‐time depth‐profile imaging technique for use in quantitative studies of topically applied drugs.
Acute and chronic Q fever national surveillance – United States, 2008–2017
Authors: Cherry Cara C. , Nichols Heitman Kristen , Bestul Nicolette C. , Kersh Gilbert J. 
Published: October 2021

AbstractQ fever is a zoonotic disease caused by the bacterium Coxiella burnetii and can manifest in an acute or chronic form. Many persons with acute Q fever are asymptomatic, but some develop a febrile illness, pneumonia or hepatitis. Chronic infections are rare and occur in less than 5% of persons exposed. Forms of chronic Q fever include endocarditis, infection of vascular grafts or aneurysms, osteomyelitis and osteoarthritis. Acute and chronic Q fever are nationally notifiable diseases, and presented here are the incidence, demographics and distribution of acute and chronic Q fever in the United States during 2008–2017. We summarized passive surveillance data from the Centers for Disease Control and Prevention's (CDC) National Notifiable Diseases Surveillance System (NNDSS) and supplemental case report forms (CRFs). Health departments reported 1,109 cases of acute Q fever and 272 chronic Q fever cases to NNDSS during this period. The 10‐year average annual incidence for acute Q fever was 0.36 cases per million persons, and the average annual incidence for chronic Q fever was 0.09. Males accounted for nearly 75% of both acute and chronic Q fever cases. Average annual incidence was highest among persons aged 60–69 years for both acute and chronic Q fever (0.70 cases per million persons and 0.25, respectively). As reported through CRFs, many Q fever cases did not have a known exposure to C. burnetii; 60% (n = 380) of acute Q fever cases did not report exposure to animals in the 2 months before symptom onset. Almost 90% (n = 558) did not report exposure to unpasteurized milk. Only 40% (n = 247) of persons with reported Q fever were employed in high‐risk occupations. Even though Q fever is a rare disease in the United States, incidence doubled from 2008 to 2017.
Comparison of a ready-to-use liquid glucagon injection administered by autoinjector to glucagon emergency kit for the symptomatic relief of severe hypoglycemia: two randomized crossover non-inferiority studies
Authors: Christiansen Mark P , Cummins Martin , Prestrelski Steven , Close Nicole C , Nguyen Anh , Junaidi Khaled 
Published: October 2021

IntroductionTo prevent medical sequelae of severe hypoglycemic emergencies, prompt and reliable rescue intervention is critically important. A ready-to-use, liquid stable glucagon, administered subcutaneously by glucagon autoinjector (GAI), Gvoke HypoPen (glucagon injection; Xeris Pharmaceuticals), was evaluated for rescue treatment of severe hypoglycemia.Research design and methodsTwo phase III, randomized, controlled, blinded, non-inferiority crossover studies were conducted in 161 adults with type 1 diabetes to compare 1 mg doses of GAI versus glucagon emergency kit (GEK) for treating insulin-induced severe hypoglycemia. Efficacy was evaluated as either a return of plasma glucose to >70 mg/dL (3.9 mmol/L) or increase ≥20 mg/dL (1.1 mmol/L) from a baseline glucose of <50 mg/dL (2.9 mmol/L), within 30 min of dosing.ResultsFor successful plasma glucose recovery within 30 min, treatment with GAI was non-inferior to GEK. Treatment with GAI was non-inferior to GEK for a plasma glucose >70 mg/dL (3.9 mmol/L) or neuroglycopenic symptom relief within 30 min. From administration of glucagon, the mean time to achieve plasma glucose >70 mg/dL (3.9 mmol/L) or increase ≥20 mg/dL (1.1 mmol/L) was 13.8±5.6 min for GAI and 10.0±3.6 min for GEK. This mean time does not account for the significantly shorter (p<0.0001) drug preparation and administration time for GAI (27.3±19.7 s) versus GEK (97.2±45.1 s). The incidence of treatment emergent adverse events was comparable in both groups.ConclusionsA ready-to-use GAI was non-inferior to GEK, with a similar tolerability profile. GAI is an effective, safe, and well-tolerated rescue treatment for severe hypoglycemia and is a viable alternative to GEK.Trial registration numbersNCT02656069andNCT03439072.
Effect of meal composition and alcohol consumption on postprandial glucose concentration in subjects with type 1 diabetes: a randomized crossover trial
Authors: García Alia , Moscardó Vanessa , Ramos-Prol Agustín , Díaz Julián , Boronat Miguel , Bondia Jorge , Rossetti Paolo 
Published: October 2021

IntroductionMeal composition is known to affect glycemic variability and glucose control in type 1 diabetes. The objective of this work was to evaluate the effect of high carbohydrate meals of different nutritional composition and alcohol on the postprandial glucose response in patients with type 1 diabetes.Research design and methodsTwelve participants were recruited to this randomized crossover trial. Following a 4-week run-in period, participants received a mixed meal on three occasions with the same carbohydrate content but different macronutrient composition: high protein-high fat with alcohol (0.7g/kg body weight, beer), high protein-high fat without alcohol, and low protein-low fat without alcohol at 2-week intervals. Plasma and interstitial glucose, insulin, glucagon, growth hormone, cortisol, alcohol, free fatty acids, lactate, and pH concentrations were measured during 6 hours. A statistical analysis was then carried out to determine significant differences between studies.ResultsSignificantly higher late postprandial glucose was observed in studies with higher content of fats and proteins (p=0.0088). This was associated with lower time in hypoglycemia as compared with the low protein and fat study (p=0.0179), at least partially due to greater glucagon concentration in the same period (p=0.04). Alcohol significantly increased lactate, decreased pH and growth hormone, and maintained free fatty acids suppressed during the late postprandial phase (p<0.001), without significant changes in plasma glucose.ConclusionsOur data suggest that the addition of proteins and fats to carbohydrates increases late postprandial blood glucose. Moreover, alcohol consumption together with a mixed meal has relevant metabolic effects without any increase in the risk of hypoglycemia, at least 6 hours postprandially.Trial registration numberNCT03320993.
Association between diabetes and edentulism and their joint effects on health status in 40 low and middle-income countries
Authors: Jacob Louis , Shin Jae Il , Oh Hans , López-Sánchez Guillermo F , Smith Lee , Haro Josep Maria , Koyanagi Ai 
Published: October 2021

IntroductionPrevious studies on the diabetes–edentulism relationship have yielded conflicting results. Therefore, the goal of this study was to investigate the association between diabetes and edentulism, and their joint effects on health status in adults from 40 low and middle-income countries (LMICs).Research design and methodsData from the World Health Survey were used for this cross-sectional study (2002–2004). Forty countries (18 low-income and 22 middle-income countries) were included. Edentulism and diabetes were assessed using yes-no questions based on self-report. Health status was assessed in seven different domains (self-care, pain/discomfort, cognition, interpersonal activities, sleep/energy, affect, and perceived stress). The association between diabetes (exposure) and edentulism (outcome) was analyzed using multivariable logistic regression models, while their joint effects on health status were assessed using multivariable linear regression models.ResultsThere were 175 814 adults aged ≥18 years included in this study (mean (SD) age 38.4 (16.0) years; 49.3% men). Overall, the prevalence of edentulism was 6.0% and diabetes was 2.9%. There was a positive and significant association between diabetes and edentulism in the overall sample (OR=1.40, 95% CI 1.18 to 1.66), in low-income countries (OR=1.78, 95% CI 1.21 to 2.62) and in middle-income countries (OR=1.24, 95% CI 1.04 to 1.47). In addition, people with comorbid diabetes and edentulism had worse health status in the domains of cognition, sleep/energy, and perceived stress, compared with those with diabetes only.ConclusionsDiabetes was positively associated with edentulism in this sample of more than 175 000 individuals living in LMICs. Providing oral care to individuals with diabetes may potentially lead to a reduction in their risk of edentulism.
Community-level impacts of sanitation coverage on maternal and neonatal health: a retrospective cohort of survey data
Authors: Kmush Brittany L , Walia Bhavneet , Neupane Anushruta , Frances Carolina , Mohamed Idris Ahmed , Iqbal Mahwish , Larsen David A 
Published: October 2021

IntroductionAccess to sanitation facilities (toilets or latrines) greatly improves human health. Low community sanitation coverage may lead to increased exposure to pathogens for households both with and without a sanitation facility.MethodsWe created a retrospective cohort using Demographic and Health Surveys from 1990 through 2018. Using regression with matched women as a random intercept, we assessed the association between community-level sanitation coverage and neonatal mortality (Poisson model,n=1 254 862 live births, 187 datasets), small birth size (logit model,n=1 058 843 live births, 187 datasets) and anaemia (logit model,n=1 304 626 women, 75 datasets).ResultsAmong women with household sanitation, the incidence of neonatal death (incidence rate ratio: 0.85, 95% CI 0.77 to 0.93), the odds of small birth size (OR: 0.81, 95% CI 0.76 to 0.87) and anaemia (OR: 0.82, 95% CI 0.79 to 0.85) were lower for women in communities with 100% sanitation coverage compared with 1%–30% (p≤0.001 for all). There was no difference in neonatal deaths between women in communities with 31%–99% sanitation coverage compared with 1%–30% (p≥0.05). Among women without household sanitation, there were no differences in neonatal mortality by community sanitation (p≥0.05). The odds of small birth size were decreased (OR: 0.91, 95% CI 0.87 to 0.97, p=0.003) for women in communities with 61%–99% sanitation coverage compared with 1%–30%; there was no association with the other community sanitation categories (p≥0.05). The odds of anaemia were increased (OR: 1.08, 95% CI 1.06 to 1.11, p<0.001) for women living in communities with 0% sanitation coverage compared with 1%–30%, but no association with the other community sanitation categories (p≥0.05).ConclusionCommunity sanitation coverage is associated with improved maternal and neonatal outcomes, particularly among women with household sanitation. This suggests that the impact of sanitation coverage on maternal and neonatal health is underestimated unless the community-level effects are considered.
Are there sex differences in completeness of death registration and quality of cause of death statistics? Results from a global analysis
Authors: Adair Tim , Gamage U S H , Mikkelsen Lene , Joshi Rohina 
Published: October 2021

IntroductionRecent studies suggest that more male than female deaths are registered and a higher proportion of female deaths are certified as ‘garbage’ causes (ie, vague or ill-defined causes of limited policy value). This can reduce the utility of sex-specific mortality statistics for governments to address health problems. To assess whether there are sex differences in completeness and quality of data from civil registration and vital statistics systems, we analysed available global death registration and cause of death data.MethodsCompleteness of death registration for females and males was compared in 112 countries, and in subsets of countries with incomplete death registration. For 64 countries with medical certificate of cause of death data, the level, severity and type of garbage causes was compared between females and males, standardised for the older age distribution and different cause composition of female compared with male deaths.ResultsFor 42 countries with completeness of less than 95% (both sexes), average female completeness was 1.2 percentage points (p.p.) lower (95% uncertainty interval (UI) −2.5 to –0.2 p.p.) than for males. Aggregate female completeness for these countries was 7.1 p.p. lower (95% UI −12.2 to −2.0 p.p.; female 72.9%, male 80.1%), due to much higher male completeness in nine countries including India. Garbage causes were higher for females than males in 58 of 64 countries (statistically significant in 48 countries), but only by an average 1.4 p.p. (1.3–1.6 p.p.); results were consistent by severity and type of garbage.ConclusionAlthough in most countries analysed there was no clear bias against females in death registration, there was clear evidence in a few countries of systematic undercounting of female deaths which substantially reduces the utility of mortality data. In countries with cause of death data, it was only of marginally poorer quality for females than males.
Machine learning for outcome predictions of patients with trauma during emergency department care
Authors: Cardosi Joshua David , Shen Herman , Groner Jonathan I , Armstrong Megan , Xiang Henry 
Published: October 2021

ObjectivesTo develop and evaluate a machine learning model for predicting patient with trauma mortality within the US emergency departments.MethodsThis was a retrospective prognostic study using deidentified patient visit data from years 2007 to 2014 of the National Trauma Data Bank. The predictive model intelligence building process is designed based on patient demographics, vital signs, comorbid conditions, arrival mode and hospital transfer status. The mortality prediction model was evaluated on its sensitivity, specificity, area under receiver operating curve (AUC), positive and negative predictive value, and Matthews correlation coefficient.ResultsOur final dataset consisted of 2 007 485 patient visits (36.45% female, mean age of 45), 8198 (0.4%) of which resulted in mortality. Our model achieved AUC and sensitivity-specificity gap of 0.86 (95% CI 0.85 to 0.87), 0.44 for children and 0.85 (95% CI 0.85 to 0.85), 0.44 for adults. The all ages model characteristics indicate it generalised, with an AUC and gap of 0.85 (95% CI 0.85 to 0.85), 0.45. Excluding fall injuries weakened the child model (AUC 0.85, 95% CI 0.84 to 0.86) but strengthened adult (AUC 0.87, 95% CI 0.87 to 0.87) and all ages (AUC 0.86, 95% CI 0.86 to 0.86) models.ConclusionsOur machine learning model demonstrates similar performance to contemporary machine learning models without requiring restrictive criteria or extensive medical expertise. These results suggest that machine learning models for trauma outcome prediction can generalise to patients with trauma across the USA and may be able to provide decision support to medical providers in any healthcare setting.
Why are US military personnel prescribed transdermal fentanyl patches?
Authors: Murray Hailey , Gregoriou A N , Lepore A , Booth G J , Goldman A H , Allen M L , Balazs G C 
Published: October 2021

IntroductionTransdermal fentanyl is a continuous release opioid delivery system intended for use in opioid-tolerant patients requiring around-the-clock opioid therapy. The purpose of this study is to identify the most common indications for transdermal fentanyl prescriptions in active duty US military personnel, and determine whether these prescriptions meet US Food and Drug Administration (FDA) labelling.MethodsActive duty US military personnel initiating transdermal fentanyl therapy with prescriptions filled at Military Health System pharmacies between 2015 and 2019 were identified in the Military Data Repository. Electronic health records were searched for patient demographic information, clinical information and prescription data. A total of 225 patients with complete data were identified.ResultsThe most common reason for transdermal fentanyl initiation was chronic non-cancer musculoskeletal pain. Among patients with non-cancer pain, 36% received their initial prescription from an internal medicine/primary care provider, and 35% did not meet published US FDA criteria for opioid tolerance prior to treatment initiation. There was an 81% decrease in patients initiating therapy between 2015 and 2019.ConclusionsWhile a substantial minority of transdermal fentanyl prescriptions to US military personnel did not meet FDA guidelines on appropriate use, the overall number of prescriptions fell dramatically over the study period. This suggests that automated profile review or additional targeted policies to limit transdermal fentanyl prescribing are unnecessary at this time.
Association of glaucoma with 10-year mortality in a population-based longitudinal study in urban Southern China: the Liwan Eye Study
Authors: Wang Lanhua , Zhu Zhuoting , Huang Wenyong , Scheetz Jane , He Mingguang 
Published: October 2021

ObjectivesTo investigate the association between glaucoma and 10-year mortality rate in an adult population in China.DesignPopulation-based cohort study.SettingThe Liwan Eye Study, China.Participants1405 baseline participants aged 50 years and older were invited to attend a 10-year follow-up examination.Primary and secondary outcome measuresThe International Society of Geographic and Epidemiologic Ophthalmology criteria was used to define glaucoma. Detailed information of mortality was confirmed using the Chinese Centre for Disease Control and Prevention. Presenting visual impairment (PVI) was defined as a presenting visual acuity of less than 20/40 in the better-seeing eye. The 10-year mortality rates were compared using the log-rank test. Cox proportional hazards regression models were used to investigate the association between glaucoma and mortality.ResultsA total of 1372 (97.7%) participants with available gonioscopic data were included in the analysis. Of these, 136 (9.9%), 33 (2.4%) and 21 (1.5%) participants had primary angle closure (PAC) suspect (PACS), PAC and PAC glaucoma (PACG), and 29 (2.1%) had primary open angle glaucoma (POAG). After 10 years, 306 (22.3%) participants were deceased. The 10-year mortality was significantly associated with PACG (HR, 2.15, 95% CI 1.14 to 4.04, p=0.018) but not associated with PAC (HR, 1.27, 95% CI 0.67 to 2.39, p=0.463), PACS (HR, 1.32, 95% CI 0.95 to 1.83, p=0.099) and POAG (HR, 0.74, 95% CI 0.36 to 1.49, p=0.395) when age and gender were adjusted for. This association was no longer statistically significant (HR, 1.60, 95% CI 0.70 to 3.61, p=0.263) when covariables, such as income, education, body mass index, PVI, history of diabetes and hypertension, were adjusted for. Larger vertical cup-to-disc ratio (VCDR >0.30) was only a significant risk factor in multivariable analysis (HR, 1.60, 95% CI 1.11 to 2.33, p=0.011).ConclusionsPACG was significantly associated with higher long-term mortality, but this association was likely to be confounded by other systemic risk factors. VCDR >0.3 was the only independent predictor, implying that it may be a marker of ageing and frailty.