bluuebunny/crossref_metadata_2025_split huggingface dataset:
Management of giant hydatid cysts: a tertiary centre experience
Authors: Abdennadher Mahdi , Hadj Dahmane Mariem , Zribi Hazem , Zairi Sarra , Bouassida Imen , Sahnoun Imen , Neji Henda , Mlika Mouna , Ouerghi Sonia , Marghli Adel 
Published: May 2021

Abstract
Background
Hydatid cyst (HC), the most parasitic disease of the lung, is still an important health problem in Tunisia. In this study, we reviewed our experience in a surgical management of 33 patients with giant pulmonary hydatid cyst (GPHC) (diameter ≥ 10 cm).

Main body
Between 1998 and 2019, a total of 33 patients with GPHC were operated in the Thoracic Surgery Department in Abderrahmane Mami Hospital. Seventeen were males (51.51) and 16 were females (48.48%). The median age was 33.9 years (range 7–83 years). The diameters of the cyst ranged between 10 and 20 cm (mean 13.15 cm). The most common symptoms were chest pain (63.63%) and cough (33.33%). Imaging showed a single GPHC in all cases. GPHC was intact in 75.75% cases and complicated in 24.25% cases. Posterolateral thoracotomy was performed in 27 cases (81.81%). For the residual cavity, parenchyma-saving procedures were performed in 54.54% and anatomical resection was performed in 45.46%. Morbidity was low, and no mortality was seen.

Conclusion
GPHC are considered more difficult to treat surgically than small cysts; parenchyma preserving should and could be the surgical method of choice with a good prognosis. The decision of anatomical pulmonary resection is taken in per-operative when conservative surgery is not possible.
The efficiency of Islamic Banks in the Southeast Asia (SEA) Region
Authors: Chowdhury Mohammad Abdul Matin , Haron Razali 
Published: May 2021

AbstractThe Islamic banking sector has become a crucial part of the global banking industry. Despite the Islamic banking industry’s encouraging growth in the Southeast Asia (SEA) region, prior studies mostly focused on Islamic banks’ efficiency in the individual country. To fill the literature gap, this study aims to measure the efficiency and productivity growth of Islamic banks in the SEA region. This study adopted the DEA technique and the Malmquist productivity index to evaluate 31 Islamic banks’ performance in SEA from 2014 to 2019. The results evidenced an improvement in efficiency and progress in productivity for the banks in the region. The findings documented better efficiency and gradual progress in productivity for Islamic banks in Indonesia, consistent efficiency for Malaysia, a significant improvement for Brunei; hence, both Thailand and the Philippines Islamic bank depicted a drop-in efficiency for 2019. The findings trigger bank managers to acknowledge the inefficiencies and their sources. Investors and policymakers may find the findings useful in observing the banks’ performance; thus, taking effective mechanism and policies to promote competent and sustainable SEA Islamic banks in the long run.
Smell disorders associated with COVID-19 infection
Authors: El-Anwar Mohammad Waheed , Mohamed Sherif Mamdoh , Sweed Ahmed Hassan 
Published: May 2021

Abstract
Background
We performed a search in the PubMed databases, Web of Science, LILACS, MEDLINE, SciELO, and Cochrane Library using the keywords COVID-19, Novel coronavirus, corona, 2019-nCoV, SARS-CoV-2, ENT, nose, anosmia, hyposmia, smell, olfactory, ORL, different ENT related symptoms. We reviewed published and peer-reviewed studies that reported the ENT manifestations in COVID-19 laboratory-confirmed positive patients.

Main text
Within the included 2549 COVID-19 laboratory-confirmed positive patients, smell affection was reported in 1453 patients (57%). The other reported ENT manifestations were taste disorder (49.2%), headache (42.8%), nasal blockage (26.3%), sore throat (25.7%), runny nose or rhinorrhea (21.3%), upper respiratory tract infection (URTI) (7.9%), and frequent sneezing (3.6%).

Conclusion
Smell affection in COVID-19 is common and could be one of the red flag signs in COVID-19 infection. With a sensitivity of utilized questionnaire in smell identification, a homogenous universal well-defined COVID-19 questionnaire is needed to make the COVID-19 data collection more sensible.
Risk factors for prospective increase in psychological stress during COVID-19 lockdown in a representative sample of adolescents and their parents
Authors: Paschke Kerstin , Arnaud Nicolas , Austermann Maria Isabella , Thomasius Rainer 
Published: May 2021

Background
COVID-19 lockdown measures imposed extensive restrictions to public life. Previous studies suggest significant negative psychological consequences, but lack longitudinal data on population-based samples.

Aims
We aimed to prospectively identify increased psychological stress and associated risk factors in parent–child dyads.

Method
We conducted a prospective, observational online study on a representative German sample of 1221 adolescents aged 10–17 years and their parents. Psychological stress and psychosocial variables were assessed before the pandemic (baseline) and 1 month after the start of lockdown (follow-up), using standardised measures. We used multilevel modelling to estimate changes in psychological stress, and logistic regression to determine demographic and psychosocial risk factors for increased psychological stress.

Results
The time of measurement explained 43% of the psychological stress variance. Of 731 dyads with complete data, 252 adolescents (34.5%, 95% CI 31.0–37.9) and 217 parents (29.7%, 95% CI 26.4–33.0) reported a significant increase in psychological stress. Baseline levels were lower than in dyads without increased psychological stress. Risk factors for increased psychological stress included sociodemographic (e.g. female parents, severe financial worries) and emotion regulation aspects (e.g. non-acceptance of emotional responses in parents, limited access to emotion regulation strategies in adolescents), explaining 31% of the adolescent (Nagelkerke R2 = 0.31) and 29% of the parental (Nagelkerke R2 = 0.29) model variance.

Conclusions
This study is the first to prospectively show an increase in psychological stress during COVID-19 lockdown in a representative family sample. Identified demographic and psychosocial risk factors lead to relevant implications for prevention measures regarding this important public health issue.
Cancer Risk of Patients With Overweight and Obesity: A Predictive Model
Authors: Turchin Alexander , Morrison Fritha , Shubina Maria , Shinde Shraddha , Ahmad Nadia , Kan Hongjun 
Published: May 2021

Abstract
Obesity is the most common chronic disease in the U.S. Patients with obesity have many risk factors for cancer, often modifiable. It is important to identify patients with obesity at high risk of cancer to be able to appropriately direct treatment and resources. Given that the risk pool is large, it is imperative to identify a clinically meaningful metric for risk stratification to help guide interventions.
We conducted an observational study of electronic medical records data for 394,161 adults aged between 18 and 80, with BMI ≥ 25 kg/m2 and without baseline history of cancer between 2000 and 2019. We first identified a literature-based pool of risk factors for cancer onset and conducted variable selection by applying least absolute shrinkage and selection operator (LASSO) penalized Cox regression with ten-fold cross-validation on an 80% training dataset. Effects of the selected variables on risk of cancer (excluding non-melanoma skin cancer) onset were assessed using Cox regression on the 80% training dataset. The resulting model accuracy was evaluated using Cox regression on a withheld 20% validation dataset.
Participants had a mean age of 46.7 (SD: 15.5) years and mean body mass index (BMI) of 30.5 (SD: 5.4) kg/m2; 51.9% were women. Over a mean of 7.5 years of follow-up, 34,679 (8.8%) of study patients developed cancer. The predictive model achieved a Harrell’s C-statistic of 0.73. The greatest risk of cancer incidence was associated with HIV infection (HR 2.22; 95% CI 1.88–2.63; 0.27% of patients), older age (HR 2.05 per 1 SD = 15.5 years; 95% CI 2.01- 2.09), hepatitis C infection (HR 1.48; 95% CI 1.34–1.63; 0.96% of patients), and family history of cancer (HR 1.44; 95% CI 1.41–1.48; 42.5% of patients). Additional patient characteristics found in &gt;5% of patients that also carried risk included proteinuria (5.8% of patients; HR 1.23; 95% CI 1.18–1.29) and history of smoking (40.7% of patients; HR 1.20; 95% CI 1.17–1.23). Each standard deviation increase in BMI (5.4 kg/m2) was associated with a hazard ratio of 1.06 (95% CI 1.05–1.07) for incident cancer.
It is feasible to use predictive modeling to identify patients with overweight and obesity at high cancer risk. This approach could be utilized to guide population management and clinical treatment decisions.
Effects of Colchicine on Measures of Lipolysis in Adults With Obesity
Authors: Sarrafan-Chaharsoughi Zahra , Levine Jordan A , Patel Tushar P , Brady Sheila M , Chivukula K Karthik , Miller Emily , Han Jung Min , Periwal Vipul , Remaley Alan T , Babyak Ashley , Fantoni Giovanna , Biancotto Angelique , Yanovski Jack A , Demidowich Andrew P 
Published: May 2021

Abstract
Background: Obesity-associated inflammation promotes adipose tissue (AT) dysfunction and contributes to the progression of type 2 diabetes and cardiovascular disease. Recent clinical studies have demonstrated that colchicine may improve metabolic and cardiovascular outcomes; however, colchicine’s effects on metabolic and inflammatory measures within AT remain unclear. Methods: The aim of this study was to examine if colchicine’s anti-inflammatory effects would improve measures of lipolysis and immune cell populations in subcutaneous AT (SAT). This is a secondary analysis of a double-blind, randomized, placebo-controlled pilot study in which 40 nondiabetic adults with obesity and metabolic syndrome (MetS) were randomized to colchicine 0.6mg or placebo twice daily for 3 months. Blood samples for insulin, glucose, and free fatty acids were collected in the fasted state and during a frequently-sampled intravenous glucose tolerance test. Noninsulin-suppressible (l0), insulin-suppressible (l2), and maximal (l0+l2) lipolysis rates were calculated by minimal model analysis. Body composition was determined by DXA. SAT immune cell populations were characterized by flow cytometry fluorescence-activated single cell sorting of the stromovascular fractions obtained after collagenase digestion of SAT samples obtained using a mini-liposuction technique pre- and post-intervention. Results: Data from 18 subjects in the colchicine group (Mean ± SD: age 48.4 ± 13.5 y; BMI 39.3 ± 6.3 kg/m2; sex: female 72.2%) and 18 subjects in the placebo group (age 44.7 ± 10.2 y; BMI 41.8 ± 8.2 kg/m2; sex: female 77.8%) were available for this study. Colchicine treatment significantly reduced l2 (p = 0.04) and l0+l2 (p = 0.04) versus placebo. These changes were significantly associated with reductions in systemic inflammation, including the changes in high-sensitivity C-reactive protein concentrations, white blood cell count, circulating monocyte and neutrophil populations, and the neutrophil-lymphocyte ratio (p’s &lt; 0.015). Colchicine did not significantly alter SAT immune cell population distributions (p’s &gt; 0.05). Conclusions: In adults with obesity and MetS, colchicine may improve insulin action at the level of AT. These improvements were positively associated with the suppression of systemic inflammation. However, no local AT inflammatory cell populations were significantly affected by colchicine use in our study, suggesting that colchicine’s systemic, rather than local, anti-inflammatory effects may be more consequential in ameliorating AT metabolic pathways in MetS. Further studies are warranted to elucidate the biological mechanisms underlying colchicine’s effects in AT, as these investigations could potentially shed light on treatments to improve metabolic outcomes in human obesity.
Leptin Decreases Energy Expenditure but Increases Thyroid Hormone in Patients With Lipodystrophy
Authors: Quaye Emmanuel , Grover Andrew , Brychta Robert , Christensen John , Startzell Megan S , Meehan Cristina A , Valencia Areli , Marshall Brandon , Chen Kong , Brown Rebecca J 
Published: May 2021

Abstract
Leptin is an adipokine that signals energy sufficiency. In rodents, leptin deficiency is associated with decreased body temperature and energy expenditure (EE), which is reversed with leptin replacement. Leptin’s role in EE in humans is unclear; however, one study of 10% weight-reduced healthy subjects suggested that leptin replacement to pre-weight loss levels restored the decline in EE, thyroid hormone, and catecholamines associated with weight loss. Patients with lipodystrophy (LD) are characterized by deficiency of adipose tissue and can serve as models to study effects of leptin deficiency and replacement in humans. We hypothesized that treatment with recombinant leptin (metreleptin) in patients with LD would increase EE, thyroid hormone, and catecholamines. We conducted a non-randomized crossover study of 25 patients with LD who were hospitalized for 19 days on an iso-caloric diet. The initiation cohort consisted of 17 patients with no prior exposure to metreleptin, who were first studied for 5 days without metreleptin (period 1), then were treated with metreleptin for 14 days (period 2). The withdrawal cohort consisted of 8 previously metreleptin-treated patients who were continued on metreleptin for the first 5 days of the study (period 1), then were taken off metreleptin for 14 days (period 2). At the end of each period, we measured 24-hour EE (TEE) and resting EE (REE) using indirect calorimetry and free T3, T4, epinephrine, norepinephrine and dopamine after an 8–12 hour fast. In the leptin initiation cohort, TEE and REE decreased from 2402±383 kcal/day and 1805±332 kcal/day to 2272±396 kcal/day (p=0.003) and 1688±318 kcal/day (p=0.03), respectively. Free T3 increased from median (IQR) 248 (200, 270) pg/mL to 295 (259, 315) (p=0.006). No changes in catecholamines were observed in the initiation cohort. In the withdrawal cohort, free T3 decreased from 295 (267, 331) pg/mL to 265 (237, 323) (p=0.008), free T4 decreased from 1.2 ±0.2 ng/dL to 1.0±0.2 (p=0.002), and norepinephrine decreased from 191±70 pg/mL to 112±47 (p=0.03) after metreleptin withdrawal. No changes in EE, epinephrine or dopamine were observed in the withdrawal cohort. Contrary to previous studies in rodents and healthy humans, we found that introduction of metreleptin reduced EE in patients with LD. Consistent with rodent and prior human data, patients with LD had increased thyroid hormone on metreleptin, which would be expected to increase EE. The discrepancy in EE compared to other models may be due to metreleptin-induced correction of severe metabolic derangements in LD, including reduction in energy-requiring processes such as de novo lipogenesis and gluconeogenesis. These changes may offset increases in leptin-induced mediators of increased EE, such as thyroid hormone.
Metabolically-Unhealthy Obesity Is Associated With Increased Adipose Tissue Inflammatory Gene Expression and 24-Hour Plasma Concentrations of PAI-1, but Not Other Inflammatory Cytokines
Authors: Petersen Max C , Smith Gordon I , Yoshino Mihoko , Cifarelli Vincenza , Yoshino Jun , Pietka Terri , Klein Samuel 
Published: May 2021

Abstract
Insulin resistant glucose metabolism is the most common metabolic complication associated with obesity; however, a subset of people with obesity have normal insulin sensitivity and are considered to be metabolically healthy. In rodent models of obesity, adipose tissue (AT) inflammation contributes to whole-body insulin resistance mediated, at least in part, by production of proinflammatory cytokines that are secreted into the systemic circulation. We therefore hypothesized that AT markers of inflammation and plasma concentrations of inflammatory cytokines would be greater in people with metabolically-unhealthy obesity (MUO) and insulin-resistant glucose metabolism than in insulin-sensitive people with metabolically-healthy obesity (MHO). We measured AT expression of genes that encode for proinflammatory proteins by using RNA sequencing and plasma cytokine concentrations assessed serially over 24 hours by using multiplex assays in: i) 28 people with MHO (defined as normal glucose tolerance and normal insulin-stimulated glucose disposal assessed using the hyperinsulinemic-euglycemic clamp procedure [48 ± 2 µmol/kg fat-free mass/min]); and ii) 28 people with MUO (defined as prediabetes and impaired insulin-stimulated glucose disposal [28 ± 1 µmol/kg fat-free mass/min]). AT markers of inflammation (expression of SERPINE1, CCL3, CCL5, CD68, CD74, MRC1, and CXCL16) were greater in the MUO than in the MHO group (all P &lt; 0.05). However, the 24-hour plasma concentration areas-under-the curve (AUC) for TNFα, MCP-1, IL-6, RANTES, IL-1β, IL-17, and IFN-γ were not different between MHO and MUO groups. In contrast, 24-hour plasma plasminogen activator inhibitor 1 (PAI-1) AUC was greater in the MUO (1,759 ± 169 ng/mL x h) group than in the MHO (716 ± 85 ng/mL x h) group (P &lt; 0.001) and plasma PAI-1 was inversely correlated with whole-body insulin sensitivity (r= -0.57; P &lt; 0.001). We conclude that, with the exception of PAI-1, AT inflammation does not contribute to whole-body insulin resistance by increasing systemic circulating inflammatory cytokine levels. However, increased AT production of PAI-1 is associated with whole-body insulin resistance in people with MUO.
Relationship Between Metabolic Syndrome Components and Proinflammatory Molecules
Authors: Vecchiola Andrea , Garcia Killen , González-Gómez Luis-Martin , Tapia-Castillo Alejandra , Artigas Rocio , Baudrand Rene , Kalergis Alexis M , Carvajal Cristian A , Fardella Carlos E 
Published: May 2021

Abstract
We aimed to study the associations of 5 adipocytokines, two endothelial damage markers, and hs-CRP with the MetS components to distinguish the most significant cytokines likely related to distinct metabolic profiles. Methods: Cross-sectional study with 202 Chilean subjects (18–65 years old), categorized by MetS, and No-MetS according to Harmonizing ATP III. Adipocytokines profiling included adiponectin, leptin, hs-CRP, CTRP-1, PAI-1, FABP4, and metalloproteinase (MMP)-9 and MMP-2 activity. Results: Subjects with MetS showed higher levels of the most proinflammatories molecules but significantly lower adiponectin than subjects with No-MetS. Among the studied adipocytokines, PAI-1 and adiponectin showed the strongest associations with most of MetS components. PAI-1 was associate with MetS OR 1.107 [1.065–1.151], p&lt; 0.0001, and adiponectin inversely associated with MetS OR 0.710 [0.610 -0.825], p&lt; 0.0001). Following adjustment by sex, age, BMI, and 24 h sodium urinary excretion in a multivariate analysis, the association of PAI-1 OR 1.090 [1.044–1.137], p&lt; 0.0001) and adiponectin OR 0.634 [0.519 - 0.775], p &lt; 0.0001) with MetS remained significant. Multivariate analyses support a model where PAI-1associate to waist_hip, SBP, DBP, and glucose (all p&lt; 0.0001) and adiponectin associate to TG (p=0.03) and HDL-cholesterol (p=0.0001). Conclusion: PAI-1 and Adiponectin rendered the most robust associations with MetS components in a general population, indicating that unfavourable adipose tissue performance is a key contributor to these metabolic anomalies. Further prospective analyses should allow establishing whether these adipocytokines can anticipate the progress of MetS and cardiovascular risk. Conflict of interest: The authors declared no conflict of interest. Funding: This work was supported by Chilean grants CONICYT Fondo Nacional de Desarrollo Científico y Tecnológico, (FONDECYT) 1160695(CEF) and 1190419(RB); FONDECYT Post-doctorado 3200646(ATC); Millenium Institute of Immunology and Immunotherapy - ICM (P09/16-F)(AK-CEF).
The J-Shaped Relationship Between Body Mass Index and Mortality in Patients With Covid-19: A Systematic Review and Dose-Response Meta-Analysis
Authors: Bukhari Khulood , Huang Huei-Kai , Hung Duan-Pei , Peng Carol Chiung-Hui , Shih Ming-Chieh , Chang Rachel Huai-En , Tu Yu-Kang , Munir Kashif M 
Published: May 2021

Abstract
Introduction: Several studies have linked obesity to more severe illness and higher mortality in COVID-19 patients. However, the relationship between being underweight and COVID-19 mortality remains inconclusive. Previous dose-response meta-analyses did not enroll or specifically analyze the underweight population. Herein, we conducted a systematic review and dose-response meta-analysis to investigate the relationship between body mass index (BMI) and mortality in both obese and underweight patients with COVID-19. Methods: We searched PubMed, Embase, Cochrane Library, Scopus, and Web of Science databases from inception until August 12, 2020 using the keywords “COVID-19,” “body mass index,” “obesity,” “overweight”, and “underweight.” Three reviewers independently assessed the relevant articles, including the title, abstract, and full text, to identify eligible studies. We performed a two-stage random-effects dose-response meta-analysis, including only studies with at least three quantitative classifications for BMI. The nonlinear trend was evaluated using a restricted cubic splines model with three-knots at the 10th, 50th, and 90th percentiles. A sensitivity analysis was conducted by pooling only those studies which specifically evaluated underweight patients (BMI&lt;18.5 kg/m2). Results: Thirteen studies comprising 25,828 patients were included in the analysis. In the linear model, the mortality of patients with COVID-19 increased by 1.5% for each 1-kg/m2 increase in BMI (pooled relative risk [RR] =1.015, 95% confidence interval [CI] =1.004−1.027). However, a significant non-linear relationship between BMI and mortality was observed (Wald test: Pnon-linearity&lt;0.001). We demonstrated a J-shaped curve, indicating that both underweight and obese patients had a higher mortality than those with normal weight. Interestingly, overweight patients (BMI, 25−30 kg/m2) seemed to have the lowest mortality risk. Using a BMI of 15 kg/m2 as the reference, the RRs of mortality decreased with BMI, and this trend continued until BMI of approximately 28 kg/m2 (RR=0.743, 95% CI=0.576−0.959). The relationship between BMI and mortality was then reversed, and an upward trend was observed when BMI exceeded 30 kg/m2; the RRs (95% CI) at BMIs 30, 35, 40, and 45 kg/m2 were 0.745 (0.570−0.974), 0.841 (0.643−1.100), 1.082 (0.850−1.377), and 1.457 (1.129−1.879), respectively. Conclusion: This study is the first dose-response meta-analysis that showed both underweight and obese COVID-19 patients are at higher risk of increased mortality. A J-curve relationship was demonstrated between BMI and COVID-19 mortality.