bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prevalence of spondyloarthritis in inflammatory bowel disease according ASAS and ultrassonography and its correlation with plasma calprotectin.
Authors: Huber Míriam Kuster , Valim Valeria , Serrano Erica Vieira , Mendonça Jose Alexandre , Lourenço Rafael Burgomeister , Santo Thaisa Moraes Ribeiro Espirito , Nordal Hilde , Bissoli Maria de Fátima , Gavi Maria Bernadete 
Published: October 2023

Abstract
Background: Enteropathic spondyloarthritis is underdiagnosed and inflammatory biomarkers and ultrasonography (US) could be useful for screening inflammatory bowel disease (IBD) patients. The objective of this study was to evaluate the prevalence of spondyloarthritis (SpA) in IBD patients, according to the Assessment of SpondyloArthritis International Society (ASAS) criteria and the correlation of results of US of entheses and joints with plasma calprotectin levels.
Methods: This was an observational cross-sectional study. Patients from the IBD outpatient clinic of a reference center were evaluated according to ASAS criteria classification, results of US of entheses and joints, and inflammatory biomarker measurements (erythrocyte sedimentation rates, C-reactive protein levels, fecal and plasma calprotectin levels). A p value lower than 0.05 was considered significant.
Results: A total of 30.5% of the studied sample (n= 118) of patients with IBD presented at least one inflammatory musculoskeletal manifestation. The overall prevalence of enteropathic SpA was 13.55%, with 10.16% axial SpA and 4.23% peripheral SpA according to the ASAS criteria. A total of 42.1% of patients had an MASEI score greater than 18, 35.2% had synovitis, and 14.7% had tenosynovitis on US, increasing the frequency of diagnosis of enteropathic SpA to 22.8%. Plasma calprotectin levels were similar to those in healthy controls, and correlated only with the fecal calprotectin level (p 0.041).
Conclusions: A total of 13.5% of patients met the criteria in accordance with the ASAS criteria for enteropathic SpA, which increased to 22.8% with the addition of US. The prevalence of enthesitis, synovitis and tenosynovitis by US of symptomatic joints and entheses were 42%, 35% and 14,7% respectively. Plasma calprotectin was correlated with fecal calprotectin but not with inflammatory biomarkers or US or ASAS criteria.
Serum copper is associated with the prevalence of cardiovascular diseases: Evidence from NHANES 2011-2016
Authors: Liu Xiao , Yu Peng , Qi Xinrui , Fu Wanying , Fang Changchang , Ling Jitao , Niu Liyan , Liu Menglu , Zhao Yujie , Wu Yuting , Zhao Huilei , Li Xiaozhong 
Published: October 2023

Abstract
Background
Copper (Cu) is one of the minerals that has a key role in human health and cell metabolism. Recent reports show Cu homeostasis and Cu-induced cell death play crucial role in the pathogenesis of cardiovascular disease (CVD). However, the epidemiology evidence association between serum Cu and risk of cardiovascular disease is limited.
Objective
This national cross-sectional study aimed to assess the association between serum Cu and the risk of CVD.
Methods
Dataset were from the Nation Health and Nutrition Examination Survey (NHANES) 2011–2016. Weighted logistic regression model and dose-response curve were applied.
Results
A total of 5,154 participants were included, representing 21,995,1371 Americans adult. The average level of serum Cu was 18.6 µmol/L, and the overall prevalence of CVD was 7.4%. Serum Cu values in female, middle-aged, and non-Hispanic Black subjects were higher (P < .05). Subjects with a high prevalence of CVD had higher serum Cu levels than non-CVD subjects (P < .05). Those in tertile 3 had a significantly higher prevalence of CVD (OR: 1.64; 95% CI 1.16–2.33) than those in the lowest tertile. Continuous variable analysis showed that serum Cu was positively associated with the prevalence of CVD (per 1 SD; OR: 1.23; 95% CI: 1.03–1.47). The dose-response curve demonstrated a linear association of Cu levels with CVD prevalence (P-nonlinear = 0.40), with the OR of CVD doubled at serum Cu levels of 20.0 µmol/L.
Conclusion
Excess serum Cu is associated with the prevalence of CVD among adult Americans.
Effective coverage of antenatal care services in Ethiopia: A population-based cross- sectional study
Authors: Abdissa Zewditu , Alemu Kassahun , Lemma Seblewengel , Berhanu Della , Defar Atkure , Getachew Theodros , Schellenberg Joanna , Marchant Tanya , Shiferaw Solomon , Tariku Amare , Guadu Tadesse , Taye Girum , Zelalem Meseret , Ake Lars 
Published: October 2023

Abstract

Background
Antenatal care (ANC) is a principal component of safe motherhood and reproductive health strategies across the continuum of care. Although the coverage of antenatal care visits has increased in Ethiopia, there needs to be more evidence of effective coverage of antenatal care. The 'effective coverage' concept can pinpoint where action is required to improve high-quality coverage in Ethiopia. Effective coverage indicates a health system's performance by incorporating need, utilization, and quality into a single measurement.The concept includes the number of contacts, facility readiness, interventions received, and components of services received. This study aimed to measure effective antenatal care coverage in Ethiopia.
Methods
A two-stage cluster sampling method was used and included 2714 women aged 15-49 years and 462 health facilities from six Ethiopian regions from October 2019 to January 2020. The effective coverage cascade was analyzed among the targeted women by computing the proportion who received four or more antenatal care visits where the necessary inputs were available, received iron folate supplementation and two doses of tetanus vaccination according to process quality components of antenatal care services.
Results
Of all women, 40% (95%CI; 38, 43) had four or more visits, ranging from 3% in Afar to 74% in Addis Ababa. The overall mean health facility readiness score of the facilities serving these women was 70%, the vaccination and iron folate supplementation coverage was 26%, and the ANC process quality was 64%. In the effective coverage cascade, the input-adjusted, intervention-adjusted, and quality-adjusted antenatal coverage estimates were 28%, 18%, and 12%, respectively.
Conclusion
The overall effective ANC coverage was low, primarily due to a considerable drop in the proportion of women who completed four or more ANC visits. Regarding quality, relatively little emphasis was given to discussion between care providers and clients. Community-based interventions to mobilize women to utilize the recommended number of ANC visits are crucial alongside interventions that improve care provider discussion with women about ANC components.
Association of Cognitive Deficits with Sociodemographic Characteristics among Adults with Post-COVID Conditions: Findings from the United States Household Pulse Survey
Authors: Wu Daniel J. , Liu Nianjun 
Published: October 2023

Abstract

Background

People infected with COVID-19 may continue to experience symptoms for several weeks or even months after acute infection, a condition known as long COVID. Cognitive problems such as memory loss are among the most commonly reported symptoms of long COVID. However, a comprehensive evaluation on the risks of cognitive decline following COVID infection among different sociodemographic groups has not been undertaken at the national level in the United States.

Methods

We conducted a secondary analysis on the datasets from U.S. Census Bureau Household Pulse Survey, encompassing the data collected from June 1, 2022 to December 19, 2022. Based on a cohort of 385,370 individuals aged 18 or older, we employed logistic regression analysis to examine the association between self-reported cognitive deficits and different sociodemographic factors among individuals with long COVID conditions.

Results

Among individuals aged 18 or older, 44.7% of survey respondents report having been diagnosed with COVID in the past, and 29.0% of those with previous COVID infection experienced long COVID symptoms lasting for more than 3 months. We have demonstrated that individuals with long COVID had significantly higher risk of experiencing cognitive deficits compared to those with no history of COVID infection. Furthermore, females, young adults, people with multiple races, or low levels of education attainment are at higher risk of cognitive deficits if they experience long COVID. At the state level, the prevalence of cognitive deficits among long COVID patients varied across different US states, with the highest prevalence in West Virginia and Kentucky, and the lowest prevalence in Connecticut and Maryland. The variation could be due to differences in racial composition and education level among long COVID patients in the four states.

Conclusions

The risks of cognitive deficits among adults with post-COVID conditions are substantial. Various sociodemographic groups can have different risks of developing cognitive deficits after experiencing long COVID. Findings of this large-scale study can help identify sociodemographic groups at higher risk of cognitive deficits, and facilitate medical interventions and guide resource allocation to target populations at risk and to prioritize areas with a high rate of cognitive decline.
Mesangioproliferative glomerulonephritis with full-house pattern observed during treatment of immune thrombocytopenic purpura
Authors: Ueki Ai , Fukunaga Tsugumi , Hoshi Takafumi , Umetani Jun , Miyake Yuka , Goto Hiroyasu , Tanoue Keiko , Yamashiro Aoi , Minakuchi Hitoshi , Imakiire Toshihiko , Oshima Naoki 
Published: October 2023

Abstract
This study reports a rare case of mesangioproliferative glomerulonephritis with a full-house pattern in a 56-year-old Japanese man. Mesangioproliferative glomerulonephritis was observed during the treatment of immune thrombocytopenic purpura (ITP). After his diagnosis with ITP in 2012, abnormal urinary findings with renal dysfunction were observed in July 2018. His complement titers were low, and he was negative for antinuclear antibodies. A percutaneous renal biopsy was performed in January 2019. Light microscopy revealed mesangial cell proliferation and double basement membrane; immunofluorescence indicated a full-house pattern; and electron microscopy revealed electron-dense deposits in the mesangial and subendothelial regions. He was diagnosed with mesangioproliferative glomerulonephritis and non-lupus full-house nephropathy by renal biopsy. Because of coexisting hypocomplementemia and findings suggestive of membranoproliferative glomerulonephritis (MPGN) on renal biopsy, he was treated as MPGN clinically with prednisolone, and his urinary findings improved markedly. However, as the complement titers were still low, mycophenolate mofetil was also prescribed, which normalized complement levels. Production of anti-platelet antibodies is involved in the etiology of ITP. Although little is known about the mechanism by which ITP causes glomerulonephritis, including MPGN, glomerular deposition of circulating immune complexes synthesized by antiplatelet antibodies may be involved. This case shows full-house nephropathy, suggesting the involvement of immune complexes, which in turn, suggested an association between ITP and glomerulonephritis.
Idiopathic Inflammatory Myopathies in the Post-COVID-19 Era: A Spotlight on Cardiac Impairment
Authors: Cheng Lu , Li Yanhong , Wu Yinlan , Luo Yubin , Zhou Yu , Ye Tong , Wen Ji , Liang Xiuping , Wu Tong , Huang Deying , Zhao Jing , Liang Zongan , Tan Chunyu , Liu Yi 
Published: October 2023

Abstract
Background
As the COVID-19 pandemic progresses, there have been reports of a syndrome involving multisystem organ damage following the immune response to the virus. However, it remains unclear whether patients with specific autoimmune diseases, such as idiopathic inflammatory myopathies (IIMs), exhibit a predisposition to unique pathological damage and whether their clinical phenotypes are altered by COVID-19.
Methods
This study was a retrospective case‒control study that included 62 patients with IIMs who had a prior history of COVID-19 (prior COVID-19, PC) and 52 patients without such a history (no prior COVID-19, NPC). Medical histories, laboratory examinations, and echocardiography data were compared between the two groups. Additionally, we investigated the potential molecular mechanisms underlying the association between COVID-19 and post infection clinical phenotypes in IIMs using publicly available transcriptome databases.
Results
Compared to the NPC group, patients in the PC group exhibited a higher prevalence of cardiopulmonary symptoms, including palpitation and dyspnea, as well as elevated levels of pulmonary and cardiovascular myositis activity assessment visual analog scales (MYOACT)/myositis intention-to-treat activity index (MITAX), cardiac troponin T, and hydroxybutyrate dehydrogenase (HBDH). Echocardiographic analysis revealed larger left atrium (LA) dimensions, interventricular septum (IVS) thickness, and an increased ratio of peak velocity of left ventricular early-diastolic fast filling to the velocity of early diastolic myocardial movement at mitral ring (E/e’) in the PC group compared to the NPC group. Transcriptional data analysis based on public databases revealed that various mechanisms, including collagen matrix proliferation, regulation of the calcium ion pathway, oxidative stress, cell proliferation, and inflammatory molecules, collectively contribute to the pathogenesis of IIMs and COVID-19 infection.
Conclusion
Patients with IIMs exhibit more pronounced myocardial damage and impaired cardiac diastolic function following COVID-19, thereby offering valuable insights for the clinical management of IIMs patients and potential avenues for further investigation into the long-term consequences of COVID-19.
The functional study of core genes in systemic lupus erythematosus obtained through WGCNA analysis and two- sample Mendelian randomization research
Authors: Yan Haiying , Zheng Anmei , Zhan Huakui 
Published: October 2023

Abstract
Background：Systemic lupus erythematosus is a chronic autoimmune disease characterized by systemic inflammation. The underlying mechanisms of the disease are not yet clear, resulting in limited treatment options. The aim of this study is to investigate the potential core genes of systemic lupus erythematosus and evaluate their clinical applications in predicting the disease.
Method：We employed differential expression analysis and weighted gene co-expression network analysis (WGCNA) to explore novel susceptibility modules and core genes associated with systemic lupus erythematosus. Further investigation of these core genes was carried out using KEGG and GO analyses to examine their potential roles. We established column line plot models and ROC curves to evaluate the diagnostic performance of the core genes. Additionally, we investigated the correlation between the core genes and immune infiltration. Finally, based on genome-wide association studies, we conducted a Mendelian randomization study to determine the causal effect of GYPB on systemic lupus erythematosus.
Results：We used the WGCNA method to construct a gene co-expression network and identified the most relevant modules related to systemic lupus erythematosus (SLE), as well as 144 overlapping key genes. GO and KEGG pathway enrichment analysis revealed that these core genes are closely associated with pathways such as DNA polymerase complex, astral microtubule and transferase complex, Malaria, and Porphyrin metabolism. Through analysis using Cytoscape software, we found that the top 10 upregulated genes with high scores were SLC4A1, EPB42, FECH, GYPB, ALAS2, AHSP, GATA1, KLF1, SNCA, and DMTN. Additionally, we observed that the column line graph model performed well in predicting the risk of systemic lupus erythematosus, and the ROC curve indicated its effectiveness for diagnosis.
In the end, we confirmed a causal relationship between the top five ranked core genes and immune cell infiltration in systemic lupus erythematosus. Additionally, in the inverse-variance weighted analysis, we found a negative correlation between GYPB and systemic lupus erythematosus, with an odds ratio (OR) of 0.620 (95% confidence interval = 0.4056-0.948, p=0.02).
Conclusion：We used WGCNA to construct a gene co-expression network and identified the core genes associated with systemic lupus erythematosus. These core genes help uncover the molecular mechanisms of systemic lupus erythematosus and enable further investigation into potential therapeutic targets.
Patient characteristics and reasons for discontinuation in a cardiovascular risk management programme in The Netherlands
Authors: Smits Geert H.J.M. , Doorn Sander , Bots Michiel L. , Hollander Monika 
Published: October 2023

Abstract
Background
Since 2010, an increasing number of patients have participated in a nurse-led integrated cardiovascular risk management programme in the Netherlands. Because it is important to understand which patients discontinue and why, when evaluating the effectiveness of the care programme, the aim was to identify the reasons for discontinuation.
Methods
Electronic health records of 3997 patients enrolled in a nurse-led integrated cardiovascular risk management programme that started on April 1st, 2010, were manually scrutinized for reasons for discontinuation between April 1st, 2010, and April 1st, 2018. In addition to death and moving to a diabetes care programme, we describe 7 different reasons why patients discontinued the programme and compared the patient characteristics of those who discontinued the programme without specific reasons with those who remained in the care programme for 8 years.
Results
Between April 1st, 2010, and April 1st, 2018, 1,190 participants (29.8%) discontinued the CVRM care programme, of whom 271 participants died (6.8%) and 195 were transferred to a diabetes care programme (4.9%). The remaining 724 patients (18.1%) participated 5 years before discontinuation. Of these, 67 (9.3%) had a previous cardiovascular event at the start of the programme. In 355 patients, a specific reason for discontinuation was not found. At baseline, these patients less frequently had a history of CVD than those who continued the programme for 8 years (1.7 vs 22.6%), were younger (62 vs 67 years), had less registered cardiovascular comorbidity (atrial fibrillation: 1.1 vs 7.2%; congestive heart failure 0.3 vs 1.2%; chronic kidney disease 0.0 vs 4.5%), were more often smokers (13.0% vs 4.3%) and took blood pressure- and lipid-lowering drugs twice as often.
Conclusions
Participants who drop out of a nurse-led integrated CVRM programme without any reason clearly seem to be a selective population with a different cardiovascular risk profile than those continuing the programme. Apart from the viewpoint of providing adequate health care adapted to the wishes of the patient, these findings are important to consider when evaluating the effectiveness of the programme.
Metabolomic profiling analysis reveals benefits of ginseng berry intake on mitochondrial function and glucose metabolism in liver of obese mice
Authors: Lee Kyun-Hee , Hong Moonju , Hur Haeng Jeon , Sung Mi Jeong , Lee Ae Sin , Kim Min Jung , Yang Hye Jeong , Kim Myung-Sunny 
Published: October 2023

Abstract

Introduction Ginseng berry (GB) has previously been demonstrated to improve systemic insulin resistance and regulate hepatic glucose metabolism and steatosis in mice with diet-induced obesity (DIO).Objectives In this study, the role of GB in metabolism was assessed using metabolomics analysis on the total liver metabolites of DIO mice.Methods Metabolomic profiling was performed using capillary electrophoresis time-of-flight mass spectrometry (CE-TOF/MS) of liver tissue from mice on a 12-wk normal chow diet (NC), high-fat diet (HFD), and HFD supplemented with 5% GB (HFD + GB). The detected metabolites, their pathways, and functions were analyzed through partial least square discriminant analysis (PLS-DA), the small molecular pathway database (SMPDB), and MetaboAnalyst 5.0.Results The liver metabolite profiles of the NC, HFD, and GB-fed mice (HFD + GB) were highly compartmentalized. The metabolites involved in major liver functions, such as mitochondrial function, gluconeogenesis/glycolysis, fatty acid metabolism, and primary bile acid biosynthesis, showed differences after GB intake. The metabolites that showed significant correlations with fasting blood glucose (FBG), insulin, and homeostatic model assessment for insulin resistance (HOMA-IR) were highly related to mitochondrial membrane function, energy homeostasis, and glucose metabolism. Ginseng berry intake increased the levels of metabolites involved in mitochondrial membrane function, decreased those involved in glucose metabolism, and was highly correlated with metabolic phenotypes.Conclusion This study demonstrated that long-term intake of GB changed the metabolite of hepatosteatotic livers in DIO mice, normalizing global liver metabolites involved in mitochondrial function and glucose metabolism and indicating the potential mechanism of GB in improving hyperglycemia in DIO mice.
Asymmetric convolution multi lane detection and tracking network based on spatial semantic segmentation
Authors: Shi Jinpeng , Zhang Xu , Zhang Xuechang 
Published: October 2023

Abstract
At present, the target detection network based on deep learning still has some problems in the field of lane line recognition, such as unclear Lane difference, low recognition accuracy, high false detection rate and high missed detection rate, high delay and high power consumption. In order to solve these problems, this paper proposes an asymmetric convolutional lane detection and tracking network AK-SCNNLane based on spatial instance segmentation. In the coding part, VGG16 network with asymmetric convolution kernel and spatial convolution neural network (SCNN) are applied to improve the ability of network structure to learn spatial relationships, which solves the problems of fuzzy, discontinuous and low real-time prediction of lane lines. At the same time, based on LaneNet, two branch tasks after encoding output are coupled to improve the poor foreground and background recognition and the indistinguishability between lanes. Finally, the method is compared with several semantic segmentation-based lane line algorithms in TuSimple dataset. Experimental results show that the accuracy score of this algorithm is 97.12% , and the false detection rate and missing detection rate are better than other networks. Compared with LaneNet, the false detection rate and missing detection rate are reduced by 44.87% and 12.7%, respectively. At the same time, the amount of calculation is significantly reduced, and the runtimes is reduced by 89.74% compared with LaneNet, which effectively improves the recognition and detection speed, and meets the real-time requirements (+30fps) that automatic driving scenes must meet. To sum up, the detection algorithm is not only effective, but also efficient, and basically meets the requirements of real-time lane detection and tracking.in comparison with LaneNet, the false detection rate is reduced by 44.87% and 12.7%.