bluuebunny/crossref_metadata_2025_split huggingface dataset:
Emerging Threat of Multidrug Resistant Pathogens From Neonatal Sepsis
Authors: Zou Hua , Jia Xiaojiong , He Xiao , Su Yan , Zhou Ligang , Shen Yan , Sheng Chenglin , Liao Ang , Li Chunli , Li Qiuhong 
Published: July 2021

Multidrug-resistant (MDR) pathogens are responsible for a substantial burden of morbidity and mortality from neonatal sepsis; however, data on these sepsis-related pathogens among hospitalized neonates in China are not well characterized. In this study, a total of 240 strains were isolated from four Women and Children’s hospitals in Southwest China between 2014 and 2019. Of these included pathogens, 104 (43.33%) were gram-positive bacteria, 129 (53.75%) were gram-negative bacteria, and 7 (2.92%) were fungi.Escherichia coli(E. coli, 34.01%) andKlebsiella pneumoniae(K. pneumoniae, 15.35%) were the main pathogen of neonate bacteremia. ST167 were the most prevalent STs inE. coliand ST11 inK. pneumoniae.Our study found thatE. coli(62.71%) was the predominate pathogen of early-onset sepsis, among which 64.86% were MDR. Late-onset sepsis was mainly caused byK. pneumoniae(28.31%) andE. coli(24.78%), with showing that 78.33% of these pathogens were MDR. Notably, the prevalence of EO/LO pathogens were quite different from Indian and south of China. Moreover, we found thatblaCTX-M(42.06%) was most dominant resistant genes with about a third isolates (31.09%) were positive forblaCTX-M-15. All the carbapenem-resistantK. pneumoniaewere positive for NDM-1. Moreover, late-onset sepsis and antibiotic exposure were significantly associated with MDR infection. Emerging multi-resistant pathogens of sepsis posts a serious threat to neonatal outcomes and emphasizes an urgent need to control their further spread.
Telemedicine Improves the Short-Term Medical Care of Acute ST-Segment Elevation Myocardial Infarction After Primary Percutaneous Coronary Intervention
Authors: Kamel Heba , Hafez Mohamed Saber , Bastawy Islam 
Published: July 2021

Objectives: Telemedicine appears to be a promising tool for healthcare professionals to deliver remote care to patients with cardiovascular diseases especially during the COVID-19 pandemic. We aimed in this study to evaluate the value of telemedicine added to the short-term medical care of acute ST-segment elevation myocardial infarction (STEMI) after primary percutaneous coronary intervention (PCI).Methods: Two hundred acute STEMI patients after primary PCI were randomly divided into two groups. One hundred patients in group A (study group) received a monthly videoconferencing teleconsultation using a smartphone application for 3 months starting 1 week after discharge and at least a single face-to-face (F2F) clinic visit. We reviewed in each virtual visit the symptoms of patients, adherence to healthy lifestyle measures, medications, smoking cessation, and cardiac rehabilitation. Group B (control group) included 100 patients who received at least a single F2F clinic visit in the first 3 months after discharge. Both groups were interviewed after 4 months from discharge for major adverse cardiac events (MACE), adherence to medications, smoking cessation, and cardiac rehabilitation. A survey was done to measure the satisfaction of patients with telemedicine.Results: There was no significant difference between both groups in MACE and their adherence to aspirin, P2Y12 inhibitor, and beta-blockers. However, group A patients had better adherence to statins, angiotensin-converting enzyme inhibitors or angiotensin receptor blockers, smoking cessation, and cardiac rehabilitation. Sixty-one percent of patients stated that these videoconferencing teleconsultations were as good as the clinic visits, while 87% of patients were satisfied with telemedicine.Conclusions: Telemedicine may provide additional benefit to the short-term regular care after primary PCI to STEMI patients through videoconferencing teleconsultations by increasing their adherence to medications and healthy lifestyle measures without a significant difference in the short-term MACE. These virtual visits gained a high level of satisfaction among the patients.
Acute Kidney Injury and Early Predictive Factors in COVID-19 Patients
Authors: Liu Jiaye , Wang Tingyan , Cai Qingxian , Huang Deliang , Sun Liqin , He Qing , Wang Fu-Sheng , Chen Jun 
Published: July 2021

Objectives: Our objective was to explore the incidence and early predictive factors of acute kidney injury in coronavirus disease 2019 (COVID-19) patients.Method: We established a retrospective cohort of 408 patients who were admitted to Shenzhen Third People's Hospital in Shenzhen, China, between January 1 and March 31, 2020. Clinical outcomes and renal function were monitored until April 12, 2020, with a median follow-up duration of 21 days [interquartile range (IQR) = 14–33].Results: When first admitted to hospital (baseline), 19.36% (79/408) presented renal dysfunction [estimated glomerular filtration rate (eGFR) &lt;90 ml/min/1.73 m2]. During follow-up, 3.9% (16/408) developed acute kidney injury (AKI). Age ≥60 years [hazard ratio (HR) = 4.78, 95% CI = 1.10–20.69], PaO2/FiO2 ratio &lt;300 (HR = 3.48, 95% CI = 1.04–11.62), and higher creatinine (HR = 1.04, 95% CI = 1.01–1.07) at baseline independently predicted the risk of AKI. Respectively, 25.0% (102/408), 3.9% (16/408), 0.5% (2/408), 1.0% (4/408), and 0.2% (1/408) experienced G2, G3a, G3b, G4, and G5 as their most severe category during hospitalization, while 69.4% (283/408) had normal eGFRs throughout the follow-up period. When finally discharged from hospital, there were 12.5% (51/408) of patients with abnormal eGFRs.Conclusions: COVID-19 patients can be at risk of AKI and continuous eGFR decline during hospitalization, which can be early predicted by baseline factors. Some individuals still had renal dysfunction when finally discharged from hospital.
Predicting Age From Behavioral Test Performance for Screening Early Onset of Cognitive Decline
Authors: Statsenko Yauhen , Habuza Tetiana , Charykova Inna , Gorkom Klaus Neidl-Van , Zaki Nazar , Almansoori Taleb M. , Baylis Gordon , Ljubisavljevic Milos , Belghali Maroua 
Published: July 2021

Background: Neuronal reactions and cognitive processes slow down during aging. The onset, rate, and extent of changes vary considerably from individual to individual. Assessing the changes throughout the lifespan is a challenging task. No existing test covers all domains, and batteries of tests are administered. The best strategy is to study each functional domain separately by applying different behavioral tasks whereby the tests reflect the conceptual structure of cognition. Such an approach has limitations that are described in the article.Objective: Our aim was to improve the diagnosis of early cognitive decline. We estimated the onset of cognitive decline in a healthy population, using behavioral tests, and predicted the age group of an individual. The comparison between the predicted (“cognitive”) and chronological age will contribute to the early diagnosis of accelerated aging.Materials and Methods: We used publicly available datasets (POBA, SSCT) and Pearson correlation coefficients to assess the relationship between age and tests results, Kruskal-Wallis test to compare distribution, clustering methods to find an onset of cognitive decline, feature selection to enhance performance of the clustering algorithms, and classification methods to predict an age group from cognitive tests results.Results: The major results of the psychophysiological tests followed a U-shape function across the lifespan, which reflected the known inverted function of white matter volume changes. Optimal values were observed in those aged over 35 years, with a period of stability and accelerated decline after 55–60 years of age. The shape of the age-related variance of the performance of major cognitive tests was linear, which followed the trend of lifespan gray matter volume changes starting from adolescence. There was no significant sex difference in lifelong dynamics of major tests estimates. The performance of the classification model for identifying subject age groups was high.Conclusions: ML models can be designed and utilized as computer-aided detectors of neurocognitive decline. Our study demonstrated great promise for the utility of classification models to predict age-related changes. These findings encourage further explorations combining several tests from the cognitive and psychophysiological test battery to derive the most reliable set of tests toward the development of a highly-accurate ML model.
Eosinophil-to-Neutrophil Ratio Predicts Poor Prognosis of Acute Ischemic Stroke Patients Treated With Intravenous Thrombolysis
Authors: Cai Haoye , Huang Honghao , Yang Chenguang , Ren Junli , Wang Jianing , Gao Beibei , Pan Wenjing , Sun Fangyue , Zhou Xinbo , Zeng Tian , Hu Jingyu , Chen Yilin , Zhang Shunkai , Chen Guangyong 
Published: July 2021

Background and Purpose: The eosinophil-to-neutrophil ratio (ENR) was recently reported as a novel inflammatory marker in acute ischemic stroke (AIS). However, few studies reported the predictive value of ENR in AIS patients, especially for those with intravenous thrombolysis.Methods: Two hundred sixty-six AIS patients receiving intravenous thrombolysis were retrospectively recruited in this study and followed up for 3 months and 1 year. The Modified Rankin Scale (mRS) and the time of death were recorded. Poor outcome was defined as mRS 3–6. After excluding patients who were lost to follow-up, the remaining 250 patients were included in the 3-month prognosis analysis and the remaining 223 patients were included in the 1-year prognosis analysis.Results: ENR levels in the patients were lower than those in the healthy controls. The optimal cutoff values for the ability of ENR × 102 to predict 3-month poor outcome were 0.74 with 67.8% sensitivity and 77.3% specificity. Patients with ENR × 102 ≥ 0.74 have a lower baseline National Institutes of Health Stroke Scale (NIHSS) score (median: 7 vs. 11, p &lt; 0.001). After multivariate adjustment, patients with ENR × 102 ≥ 0.74 were more likely to come to a better 3-month outcome (OR = 0.163; 95% CI, 0.076–0.348, p &lt; 0.001). At the 1-year follow-up, the patients with ENR × 102 ≥ 0.74 showed a lower risk of mortality (HR = 0.314; 95% CI, 0.135–0.731; p = 0.007).Conclusions: A lower ENR is independently associated with a 3-month poor outcome and a 3-month and 1-year mortality in AIS patients treated with intravenous thrombolysis.
A Case Report: Effect of Robotic Exoskeleton Based Therapy on Neurological and Functional Recovery of a Patient With Chronic Stroke
Authors: Singh Neha , Saini Megha , Kumar Nand , Srivastava M. V. Padma , Kumaran S. Senthil , Mehndiratta Amit 
Published: July 2021

Background: In this study, a novel electromechanical robotic exoskeleton was developed for the rehabilitation of distal joints. The objective was to explore the functional MRI and the neurophysiological changes in cortical-excitability in response to exoskeleton training for a 9-year chronic stroke patient.Case-Report: The study involved a 52-year old female patient with a 9-year chronic stroke of the right hemisphere, who underwent 20 therapy sessions of 45 min each. Cortical-excitability and clinical-scales: Fugl-Mayer (FM), Modified Ashworth Scale (MAS), Brunnstrom-Stage (BS), Barthel-Index (BI), Range of Motion (ROM), were assessed pre-and post-therapy to quantitatively assess the motor recovery.Clinical Rehabilitation Impact: Increase in FM wrist/hand by 6, BI by 10, and decrease in MAS by 1 were reported. Ipsilesional Motor Evoked Potential (MEP) (obtained using Transcranial Magnetic Stimulation) was increased by 98 μV with a decrease in RMT by 6% and contralesional MEP was increased by 43 μV with a decrease in RMT by 4%. Laterality Index of Sensorimotor Cortex (SMC) reduced in precentral- gyrus (from 0.152 to −0.707) and in postcentral-gyrus (from 0.203 to −0.632).Conclusion: The novel exoskeleton-based training showed improved motor outcomes, cortical excitability, and neuronal activation. The research encourages the further investigation of the potential of exoskeleton training.
Risk Factors of Anterior Circulation Intracranial Aneurysm Rupture: Extracranial Carotid Artery Tortuosity and Aneurysm Morphologic Parameters
Authors: Pei Yusong , Xu Zhihua , Liang Guobiao , Jin Hai , Duan Yang , Yang Benqiang , Qiao Xinxin , You Hongrui , Xing Dengxiang 
Published: July 2021

Background: This study was conducted to explore the risk factors of anterior circulation intracranial aneurysm rupture based on extracranial carotid artery (ECA) tortuosity.Methods: This retrospective study, conducted from January 1, 2017, to March 1, 2021, collected and reviewed the clinical and imaging data of 308 patients with anterior circulation intracranial aneurysm [133 (43.2%) patients in the ruptured aneurysm group; 175 (56.8%) patients in the unruptured aneurysm group]. Computed tomography angiography (CTA) of the head and neck was used to determine the ECA tortuosity (normal, simple tortuosity, kink, coil) and the morphologic parameters of the aneurysms. The relationship of aneurysm rupture to ECA tortuosity and the morphologic parameters were analyzed.Results: After univariate analysis, kink, angle of flow inflow (FA), aspect ratio (AR), aneurysm length (L), the distance from the tortuosity to the aneurysm (distance), and size ratio (SR) were significantly correlated with anterior circulation intracranial aneurysm rupture (p &lt; 0.05). Spearman correlation analysis showed that ECA tortuosity was correlated with FA and SR (p &lt; 0.05). Multiple logistic analyses showed that FA [odds ratio (OR), 1.013; 95% CI, 1.002–1.025], SR (OR, 1.521; 95% CI, 1.054–2.195), and kink (OR, 1.823; 95% CI, 1.074–3.096) were independently associated with aneurysm rupture.Conclusion: Study results suggest that FA, SR, and ECA kink were independent risk factors associated with anterior circulation intracranial aneurysm rupture.
Evaluation of Attachment Style and Social Support in Patients With Severe Migraine. Applications in Doctor-Patient Relationships and Treatment Adherence
Authors: Belot Rose-Angélique , Bouteloup Margaux , Bonnet Magalie , Parmentier Anne-Laure , Magnin Eloi , Mauny Frédéric , Vuillier Fabrice 
Published: July 2021

Objectives: The aim of this observational study was to describe social support and patterns of attachment among patients with migraine. We hypothesized that in comparison to the general population, insecure attachment is overrepresented in migraine patients, and that these patients have less social support. We also aimed to study the specific relationship between attachment and social support. We hypothesized that patients with an insecure attachment style have less social support than patients with a secure attachment style.Methods: A total of 101 consecutive patients (88.1% women) aged between 25 and 60 (average age = 41.4) were recruited at the Specialized Center for the Consultation of Primary Headaches at the Regional University Hospital Center of Besançon (France). Migraine impact and disability were evaluated using the Headache Impact Test (HIT-6) questionnaire and Migraine Disability Assessment (MIDAS) questionnaire. Patients also completed several self-administered psychological questionnaires in their validated French versions: the Medical Outcome Survey 36-Item Short-Form Health Survey, the Cungi Scale, the State-Trait Anxiety Inventory, the Beck Depression Inventory, the Relationship Scales Questionnaire and the Sarason's Social Support Questionnaire.Results: The distribution of attachment profiles was different from that of the general population, with an overrepresentation of insecure attachment styles (p = 0.018). Our study showed that migraine patients had less social support than the general population, both in terms of the number of people providing support (p = 0.002) and the level of satisfaction concerning this social support (p = 0.000). We also found that neither the number of available persons score nor the satisfaction score were statistically different between the four attachment categories (p = 0.49). Patient's attachment style and social support influence the patient-doctor relationship, the therapeutic alliance and health behaviors such as treatment adherence.Conclusions: Based on the data we obtained, we developed applications in patient care for people with particular attachment styles and low social support. A treatment plan adapted to the patient's attachment profile should be created to develop “precision medicine” using a personalized approach to the doctor-patient relationship. We would also recommend encouraging patients to participate in support groups, in order to strengthen their attachment systems and gain social support.Clinical Trial Registration:https://clinicaltrials.gov/ct2/show/NCT03577548, identifier NCT03577548.
MRI Radiomic Signature of White Matter Hyperintensities Is Associated With Clinical Phenotypes
Authors: Bretzner Martin , Bonkhoff Anna K. , Schirmer Markus D. , Hong Sungmin , Dalca Adrian V. , Donahue Kathleen L. , Giese Anne-Katrin , Etherton Mark R. , Rist Pamela M. , Nardin Marco , Marinescu Razvan , Wang Clinton , Regenhardt Robert W. , Leclerc Xavier , Lopes Renaud , Benavente Oscar R. , Cole John W. , Donatti Amanda , Griessenauer Christoph J. , Heitsch Laura , Holmegaard Lukas , Jood Katarina , Jimenez-Conde Jordi , Kittner Steven J. , Lemmens Robin , Levi Christopher R. , McArdle Patrick F. , McDonough Caitrin W. , Meschia James F. , Phuah Chia-Ling , Rolfs Arndt , Ropele Stefan , Rosand Jonathan , Roquer Jaume , Rundek Tatjana , Sacco Ralph L. , Schmidt Reinhold , Sharma Pankaj , Slowik Agnieszka , Sousa Alessandro , Stanne Tara M. , Strbian Daniel , Tatlisumak Turgut , Thijs Vincent , Vagal Achala , Wasselius Johan , Woo Daniel , Wu Ona , Zand Ramin , Worrall Bradford B. , Maguire Jane M. , Lindgren Arne , Jern Christina , Golland Polina , Kuchcinski Grégory , Rost Natalia S. 
Published: July 2021

ObjectiveNeuroimaging measurements of brain structural integrity are thought to be surrogates for brain health, but precise assessments require dedicated advanced image acquisitions. By means of quantitatively describing conventional images, radiomic analyses hold potential for evaluating brain health. We sought to: (1) evaluate radiomics to assess brain structural integrity by predicting white matter hyperintensities burdens (WMH) and (2) uncover associations between predictive radiomic features and clinical phenotypes.MethodsWe analyzed a multi-site cohort of 4,163 acute ischemic strokes (AIS) patients with T2-FLAIR MR images with total brain and WMH segmentations. Radiomic features were extracted from normal-appearing brain tissue (brain mask–WMH mask). Radiomics-based prediction of personalized WMH burden was done using ElasticNet linear regression. We built a radiomic signature of WMH with stable selected features predictive of WMH burden and then related this signature to clinical variables using canonical correlation analysis (CCA).ResultsRadiomic features were predictive of WMH burden (R2 = 0.855 ± 0.011). Seven pairs of canonical variates (CV) significantly correlated the radiomics signature of WMH and clinical traits with respective canonical correlations of 0.81, 0.65, 0.42, 0.24, 0.20, 0.15, and 0.15 (FDR-corrected p-valuesCV1–6 &lt; 0.001, p-valueCV7 = 0.012). The clinical CV1 was mainly influenced by age, CV2 by sex, CV3 by history of smoking and diabetes, CV4 by hypertension, CV5 by atrial fibrillation (AF) and diabetes, CV6 by coronary artery disease (CAD), and CV7 by CAD and diabetes.ConclusionRadiomics extracted from T2-FLAIR images of AIS patients capture microstructural damage of the cerebral parenchyma and correlate with clinical phenotypes, suggesting different radiographical textural abnormalities per cardiovascular risk profile. Further research could evaluate radiomics to predict the progression of WMH and for the follow-up of stroke patients’ brain health.
A Pilot Study of Nutritional Status Prior to Bariatric Surgery in South China
Authors: Sun Linli , Wang Chunxia , Sun Wei , Wang Chunjiang 
Published: July 2021

Objective: The was a pilot study to assess the biochemical and historical information about bariatric patients before undergoing the surgery in the aim of identifying nutritional deficiencies and their prevalence from 2015 to 2020.Methods: Clinical data of 247 patients (105 males and 142 females) were included. Vitamins, trace elements, electrolytes, albumin, globulin, hemoglobin, folate, ferritin, microalbuminuria (MAU), and parathyroid hormone (PTH) levels were determined to explore the nutritional status according to gender, age, high body mass index (BMI), and waist circumstance (WC).Results: The mean age, mean BMI, and mean WC of the candidates were 32.95 ± 10.46 years, 38.01 ± 7.11 kg/m2, and 117.04 ± 16.18 cm, respectively. The prevalence of preoperative nutritional deficiencies was 76.88% for 25 (OH) vitamin D, 19.84% for globulin, 11.74% for albumin, 11.02% for sodium, 8.33% for folic acid, 10.48% (male) and 6.34% (female) for chloride, 4.05% for calcium, 3.07% (male) and 0.70%(female) for ferritin, 11.90% for elevated PTH, and 44.96% for MAU. Males exhibited increased prevalence of globulin and MAU relative to females (P &lt; 0.05). Older groups are more likely to exhibit albumin deficiency (P = 0.007), globulin deficiency (P = 0.003), and zinc deficiency (P = 0.015). In addition, 25 (OH) D deficiency and albumin deficiency were more common in patients with BMI ≥ 47.5 kg/m2 (P = 0.049 and 0.015, respectively). Wider WC (≥150 cm) exhibited higher rates of albumin deficiencies (P = 0.011).Conclusion: Electrolyte and nutritional deficiencies were common in patients prior to bariatric surgery in South China. Routine evaluation of electrolyte and nutritional levels should be carried out in this population.
Circular RNA TAF4B Promotes Bladder Cancer Progression by Sponging miR-1298-5p and Regulating TGFA Expression
Authors: Zhang Xiaoting , Li Xiaofeng , Fu Xian , Yu Mengli , Qin Guicheng , Chen Guihong , Huang Chenchen 
Published: July 2021

BackgroundBladder cancer (Bca) is the most common malignant tumor of the urinary system. Circular RNAs (circRNAs) have been recognized as key regulators in tumorigenesis. However, the molecular mechanisms underlying circRNAs involved in the progression of BCa remain largely unknown.MethodsWe detected the expression level of circular RNA TAF4B (circTAF4B) by qRT-PCR assay. Cell proliferation was evaluated by CCK-8 and colony formation assays. Wound healing and Transwell assays were performed to measure cell migration and invasion capability. Moreover, we performed qRT-PCR and western blotting assays to determine the expression levels of epithelial-mesenchymal transition (EMT) markers. A nuclear/cytoplasmic fractionation assay was used to measure the subcellular location of circTAF4B. RNA pull-down and dual-luciferase reporter assays were used to detect the target microRNA of circTAF4B. A mouse xenograft model was produced to analyze the effect of circTAF4B on the tumorigenesis of BCa.ResultsIn this study, we identified a novel circular RNA, circTAF4B, that is significantly upregulated in BCa and correlated with poor prognosis. Downregulated circTAF4B abolished the growth, metastasis and EMT process in BCa cells. Mechanistically, we found that circTAF4B facilitated the expression of transforming growth factor A (TGFA) by sponging miR-1298-5p. Finally, circTAF4B enhanced the proliferation and EMT process of BCa cells in vivo.ConclusionIn summary, our study demonstrated that circTAF4B played a carcinogenic role in the growth, metastasis, and EMT process of BCa by regulating the miR-1298-5p/TGFA axis. Thus, circTAF4B may become a diagnostic and therapeutic target for BCa.