bluuebunny/crossref_metadata_2025_split huggingface dataset:
Absolute Counts of Peripheral Lymphocyte Subsets as Potential Immune Impairment Markers in Patients With Breast Cancer
Authors: Liu Aqing , Xia Ying , Li Wentao , Zhang Guan , Liu Yunhe , Ye Songshan , Zhao Zhijie-ruo , Yang Yanjie , Yu Jianchun , Jia Yingjie , Guo Yongtie , Liu Xu , Chen Huayu 
Published: February 2021

Abstract
Purpose This study was to evaluate clinic value of absolute counts of lymphocyte subsets (ACL) as potential blood biomarkers in progression and prognosis in breast cancer (BC) patients.Methods A total of 237 BC patients and 55 age-matched female normal healthy donors (normal cantrals, NCs) were enrolled in this study. The absolute counts (AC) and percentages of CD3+, CD3+CD4+, CD3+CD8+, B and NK cells were determined by flow cytometry. The clinicopathological parameters influencing disease progression were determined by binary logistic regression. The progression-free survival (PFS) was evaluated by Kaplan-Meier. Univariable and multivariable analyses were performed using log-rank test and proportional hazard regression models, respectively.Results Compared with NCs, the ACL in BC patients decreased significantly, while the percentages of lymphocytes showed no change. Of them, AC of CD3+CD4+ cells was closely related to clinical stages. The ACL, especially CD3+CD4+ cells, were affected by different treatments. Analysis of logistic regression showed that the cut-off value of CD3+CD4+ cells ≥ 451 cells/μL was the favorable prognostic factor. Multivariate analysis of prognostic factors of PFS showed CD3+CD4+ and CD3+CD8+ cells were independent factors for predicting PFS.Conclusions The AC of CD3+, CD3+CD4+, CD3+CD8+, B, and NK cells in BC patients were impaired obviously and can be as potential susceptive indications to evaluate the patient's immune states. The higher level of AC of CD3+CD4+ and CD3+CD8+ cells contributed to longer PFS and favorable outcome, and could help to adopt appropriate treatment strategies in clinic.
Development of Deep Learning Models for Predicting in-Hospital Mortality using an Administrative Claims Database
Authors: Matsui Hiroki , Yamana Hayato , Fushimi Kiyohide , Yasunaga Hideo 
Published: February 2021

Abstract
Background: To develop and validate deep learning–based prediction models for in-hospital mortality of acute-care patients. Methods: The main model was developed using only administrative claims data (age, sex, diagnoses, and procedures on the day of admission). We also constructed disease-specific models for acute myocardial infarction, heart failure, stroke, or pneumonia using common severity indices for these diseases. Using the Japanese Diagnosis Procedure Combination data from July 2010 to March 2017, we identified 46,665,933 inpatients and divided them into derivation and validation cohorts in a ratio of 95:5. The main model was developed using a 9-layer deep neural network with four hidden dense layers that had 1000 nodes and were fully connected to adjacent layers. We evaluated model discrimination ability by an area under the receiver operating characteristics curve and calibration ability by calibration plot. Results: Among the eligible patients, 2,005,035 (4.3%) died. Discrimination and calibration of the models were satisfactory. The AUC of the main model in the validation cohort was 0.954 (95% confidential interval 0.9537–0.9547). The main model had higher discrimination ability than the disease-specific models. Conclusions: Our deep learning-based model using diagnoses and procedures produced valid predictions of in-house mortality.
Treatment Patterns and Appropriateness of Antipsychotic Prescriptions in Patients with Schizophrenia
Authors: Gamón Verónica , Hurtado Isabel , Salazar-Fraile José , Sanfélix-Gimeno Gabriel 
Published: February 2021

Abstract
Schizophrenia is a chronic mental condition presenting a wide range of symptoms. Although this mental disorder has a low prevalence in comparison to other mental conditions, it has a negative impact on social and occupational functioning. This study is aimed to assess the inappropriateness of antipsychotic medication among schizophrenic patients and describe current patterns in the treatment of schizophrenia. A retrospective cohort study was conducted including all patients over the age of 15 with an active diagnosis of schizophrenia and treated with antipsychotics between 2008 and 2013 in the Valencia region. 19,718 patients with a diagnosis of schizophrenia and treated with antipsychotic medication were identified. The main outcome was inappropriateness of the pharmacotherapeutic management, including polypharmacy use: 30.4% of patients received antipsychotic polypharmacy (6.8% were prescribed 3 or more antipsychotics); overdosage: a total of 318 individuals (1.6%) exceeded the maximum daily doses; and use of concomitant psychotropics without an associated diagnosis: 21.5% of patients received psychotropic drugs concomitantly without associated psychiatric diagnoses. Overall, females and those who had a comorbid condition, such as anxiety or depression, were less likely to receive antipsychotic polypharmacy. In contrast, concomitant treatment with other psychoactive drugs, such as antiparkinson drugs, anxiolytics and hypnotics and more visits to mental health hospital increased the risk of polypharmacy use. In conclusion, a high level of inappropriateness has been detected among antipsychotic prescriptions. Practitioners should follow guidelines recommendations whenever possible in order to obtain the maximum benefit of antipsychotic medications without an increased risk of adverse effects in patients.
Characterization of Potential Larval Habitats and Spatial Distribution of Anopheles Species Larvae During the Dry Season in Mutare City, Zimbabwe: a Cross-sectional Study
Authors: Makuwaza Aramu , Mundagowa Paddington Tinashe , Gowera Tapiwa , Mudare Nobert , Lubinda Mukuma , Mukuzunga Munyaradzi , Mharakurwa Sungano 
Published: February 2021

Abstract
Background: Malaria is traditionally known to be concentrated in rural areas but the disease is increasingly becoming a major public health problem for urban settlements in Africa. National malaria reports show that Mutare City had the greatest endemic malaria burden among all urban settlements in Zimbabwe. To prevent malaria outbreaks, it is essential to monitor malaria vectors in populous urban centers to establish the foci of the vectors while they are still small. This study sought to identify, describe, quantify, geocode mosquito potential larval habitats and their spatial distribution within the city. Methods: Mutare City was divided into four regions and the study was conducted from June to November 2019. Larval sampling of 223 potential habitats was done and the collected larvae were reared until they became adult mosquitoes before being morphologically identified using the keys developed by Gillies and Coetzee. Data were entered and analyzed using Epi Info version 7.2.1.0 statistical package.Results: Anopheline speciation showed that the city was infested with Anopheles funestus (4.9%), An. arabiensis (0.3%), An. pretoriensis (91.3%) An. coustani (0.5%), An. rufipes (2.8%), and An. maculipalpis (0.2%). Overall, An. funestus group was the predominant with An. arabiensis complex less common. The species composition of An. funestus group varied significantly among the sampling habitats. Results showed most mosquito breeding habitats were due to human activities such as agriculture, earth mining, and leaking piped water valves. The digging of shallow wells for domestic use in the high-density areas also contributed to the increase in mosquito breeding habitats.Conclusion: The most significant malaria vectors in the city were An. funestus ss and An. arabiensis. The proliferation of larval habitat hotspots in Mutare City was being fueled by human activities related to earning a living and housing construction. Effective interventions for enhanced larval source management could use a multi-sectoral approach involving all the urban stakeholders. Considering the rapid expansion of the city, more investment is needed to target the most productive habitats by fixing leaking water pipes and frequent application of larvicides with greater residual activity to treat permanent habitats particularly before the rainy season.
The Efficiency and Safety of Bivalirudin versus Heparin in The Anticoagulation Therapy in Extracorporeal Membrane Oxygenation: A Meta-Analysis
Authors: Ma Min , Liang Shichu , Zhu Jingbo , He Yong 
Published: February 2021

Abstract
Background: Bivalirudin is a direct thrombin inhibitor (DTI), which can be the alternative of unfractionated heparin (UFH). The efficiency and safety of bivalirudin versus UFH in the anticoagulation therapy in Extracorporeal membrane oxygenation(ECMO) remains unclear. The purpose of the meta-analysis is to evaluate the efficiency and safety of bivalirudin versus UFH in the anticoagulation therapy in ECMO.Methods: Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) were followed. A systematic literature search for original studies was performed in PubMed, EMBASE and The Cochrane Library to identify all relevant studies published prior to January 13,2021. Studies were reviewed according to eligibility and exclusion criteria. The meta-analysis was used to estimate the efficiency and safety of bivalirudin versus UFH in the anticoagulation therapy in extracorporeal membrane oxygenation. Results: 6 retrospective studies with 254 patients were eventually included for the quantitative analysis. The results showed that the incidence of major bleeding(I2=66%, P=0.16, OR=0.43, 95%CI:0.13-1.40), thrombosis(I2=0%, P=0.09<0.1, OR=0.56, 95%CI:0.29-1.09) and 30-day mortality(I2=0%, P=0.50, OR=0.90, 95%CI:0.42-1.53) was not statistically significant between the bivalirudin group and the UFH group.Conclusions:This study suggests that bivalirudin and UFH are associated with similar rates of major bleeding, thrombosis and 30-day mortality in adult and pediatric ECMO support, which is safe, practicable, dependable, and cost-effective in comparison with UFH. Bivalirudin is non-inferior to UFH in the anticoagulation therapy in ECMO.
Citywide serosurveillance of the initial SARS-CoV-2 outbreak in San Francisco
Authors: Routledge Isobel , Epstein Adrienne , Takahashi Saki , Hakim Jill , Janson Owen , Duarte Elias , Turcios Keirstinne , Vinden Joanna , Sujishi Kirk , Rangel Jesus , Coh Marcelina , Besana Lee , Ho Wai-Kit , Oon Ching-Ying , Ong Chui Mei , Yun Cassandra , Lynch Kara , Wu Alan , Wu Wesley , Karlon William , Thornborrow Edward , Peluso Michael , Henrich Timothy , Pak John , Briggs Jessica , Greenhouse Bryan , Rodriguez-Barraquer Isabel 
Published: February 2021

Abstract
Serosurveillance provides a unique opportunity to quantify the proportion of the population that has been exposed to pathogens. Here, we developed and piloted Serosurveillance for Continuous, ActionabLe Epidemiologic Intelligence of Transmission (SCALE-IT), a platform through which we systematically tested remnant samples from routine blood draws in two major hospital networks in San Francisco for SARS-CoV-2 antibodies during the early months of the pandemic. Importantly, SCALE-IT allows for algorithmic sample selection and rich data on covariates by leveraging electronic medical record data. We estimated overall seroprevalence at 4.2%, corresponding to a case ascertainment rate of only 4.9%, and identified important heterogeneities by neighborhood, homelessness status, and race/ethnicity. Neighborhood seroprevalence estimates from SCALE-IT were comparable to local community-based surveys, while providing results encompassing the entire city that have been previously unavailable. Leveraging this hybrid serosurveillance approach has strong potential for application beyond this local context and for diseases other than SARS-CoV-2.
Bioconversion Variation of Ginsenoside CK Mediated by Human Gut Microbiota From Healthy Volunteers and Colorectal Cancer Patients
Authors: Guo Yin-Ping , Shao Li , Wang Li , Chen Man-Yun , Zhang Wei , Huang Wei-Hua 
Published: February 2021

Abstract
Background: Ginsenoside CK (GCK) serves as the potential anti-colorectal cancer (CRC) protopanaxadiol (PPD)-type saponin, which could be mainly bio-converted to yield PPD by gut microbiota. Meanwhile, the anti-CRC effects of GCK could be altered by gut microbiota due to its different diversity in CRC patients. We aimed to investigate the bioconversion variation of GCK mediated by gut microbiota from CRC patients by comparing with healthy subjects.Methods: Gut microbiota profiled by 16S rRNA gene sequencing was collected from healthy volunteers and CRC patients. GCK was incubated with gut microbiota in vitro. A LC-MS/MS method was validated to quantify GCK and PPD after incubation at different time points.Results: The bioconversion of GCK in healthy subjects group was much faster than CRC group, as well as the yield of PPD. Moreover, significant difference of PPD concentration between healthy subjects group and CRC group could be observed at 12 h, 48 h and 72 h check points. According to 16S rRNA sequencing, the profiles of gut microbiota derived from healthy volunteers and CRC patients significantly varied, in which 12 differentially abundant taxon were found, such as Bifidobacterium, Roseburia, Bacteroides and Collinsella. Spearman’s correlation analysis showed bacteria enriched in healthy subjects group were positively associated with biotransformation of GCK, while bacteria enriched in CRC group displayed non correlation characters. Among them, Roseburia which could secrete β-glycosidase showed the strongest positive association with the bioconversion of GCK.Conclusion: The bioconversion of GCK in healthy subjects was much faster than CRC patients mediated by gut microbiota, which might alter the anti-CRC effects of GCK.
Influence of Hypertension and Diabetes on Postoperative Outcomes In Cancer Patients Undergoing Moderate/High Risk Surgical Procedures
Authors: Ramos Lafayete William Ferreira , Nascimento Beatriz Nery , Silva Gabriel Rossi , Ramos Marcos Vinícius Ferreira , Ramos Barbara Cristina Ferreira , Souza Cristiano Freitas de , Fernandes Pedro Amoedo 
Published: February 2021

Abstract
Background: Systemic hypertension (HTN) and diabetes mellitus (DM) are believed to be risk factors for adverse postoperative outcomes in patients undergoing surgical interventions, but evidence is lacking. This retrospective study evaluated the effects of HTN and DM, alone or in combination, on postoperative outcomes of elective noncardiac surgery in cancer patients. Methods: Patients (n = 844) with malignancies, who underwent elective surgery at a tertiary hospital, were categorised into healthy (group A, n = 339), hypertensive (group B, n = 357), diabetic (group C, n = 21), and hypertensive and diabetic (group D, n = 127) groups. Preoperatively, all patients had systolic blood pressure ≤ 160 mmHg and plasma glucose level ≤ 140 mg/dl. Postoperative in-hospital morbidity and mortality were compared among groups. Results: Postoperative complications occurred in 22 (6.5%), 21 (5.9%), 2 (9.5%), and 11 (8.7%) patients in groups A, B, C, and D, respectively (p = 0.712). HTN (p = 0.538), DM (p = 0.990), and HTN+DM (p = 0.135) did not impact the occurrence of adverse events. Patients with higher surgical risk (ASA III or IV) and those with longer surgical time had higher morbidity and mortality (p = 0.001, p < 0.001, respectively). In multiple logistic regression analysis, ASA status and surgical time were independent risk factors for postoperative complications (both p < 0.001). Conclusion: Cancer patients with preoperative comorbidities, such as HTN and DM, alone or in combination, regardless of other characteristics, do not have an increased risk of adverse postoperative outcomes.Trial registration: Retrospectively registered.
Correlation Between Clarithromycin Resistance, Virulence Factors and Clinical Characteristics of the Disease in Helicobacter pylori Infected Patients in Shahrekord, Southwest Iran”
Authors: Hosseini Razieh Sadat , Rahimian Ghorbanali , Shafigh Mohammad Hadi , Validi Majid , Khaledi Mansoor , Gholipour Abolfazl 
Published: February 2021

Abstract
Background: The purpose of this study was to determine the mutations associatedwith clarithromycin resistance in Helicobacter pylori isolates isolated from biopsy samples that were collected from the endoscopic ward of Shahrekord Hajar teaching Hospital and also to study the frequency of virulence factor and their correlation and pathological findings with clarithromycin resistance during the years 2019-2020. In this cross-sectional descriptive study, 152 patients with Helicobacter pylori infection were considered, and then, two common A2142G and A2143G mutations in the 23SrRNA gene associated with resistance were analyzed by Real-time PCR (Taq man). The presence of vacA, iceA1, iceA2,cagA,babA2, and oipA virulence genes was investigated by PCR and 8% polyacrylamide gel. Then, data were analyzed using the relevant statistical tests.Results: In this study, the frequency of Helicobacter pylori was 76% and the frequency of mutant isolates was 57.2%. The frequencies of A2142G and A2143G point mutations were 42.1% and 28.3%. There was a significant correlation among oipA, vacA, and iceA1 virulence factors, type of disease, chronic inflammatory score, and glandular atrophy with the antibiotic resistance to clarithromycin. There was no significant correlation between the age and sex of the patients with antibiotic resistance.Conclusions: According to the results of this study, It seems that the use of clarithromycin to combat this bacterium should be limited.
Optimal Parameter Selection for Constraint-Following Control for Mechanical Systems Based on Stackelberg Game
Authors: Sun Qinqin , Wang Xiuye , Yang Guolai , Chen Ye-Hwa , Ma Fai 
Published: February 2021

Abstract
This paper proposes an optimal parameter design of control scheme for mechanical systems by adopting the Stackelberg game theory. The goal of the control is to drive the mechanical system to follow the prescribed constraints. The system uncertainty is (possibly fast) time-varying and bounded. A β-measure is defined to gauge the performance. A robust control is proposed to render the β-measure uniformly ultimately bounded. This control scheme is based on feasible design parameters (i.e., parameters within prescribed range), whose choice may not be unique. For optimal (unique) parameter selection, a Stackelberg game is formulated. By taking the control design parameters as the players, for each player, a cost function is built with the consideration of the performance cost, the time cost and the control cost. To follow, the Stackelberg strategy is then carried out via backward induction, which results in the choice of the optimal parameters.
Electroencephalography-Demonstrated Mechanisms of Dexmedetomidine-Mediated Deepening of Propofol Anesthesia: An Observational Study
Authors: Gu Erwei , Zhang Lei , Fang Kun , Tao Shengwei , Deng Liyun , Li Hua , Cao Yuanyuan , Wang Lei , Yu Fengqiong 
Published: February 2021

Abstract
Background: Although dexmedetomidine (Dex) is known to reduce bispectral index (BIS) values and propofol dosage, there is little information regarding raw electroencephalography (EEG) changes related to Dex deepening of propofol general anesthesia (GA). This study investigated Dex effects on propofol GA via analysis of EEG changes.Methods: A study cohort of 21 surgical patients (age range, 20–60 years) categorized asASA (American Society ofAnesthesiologists) class I or II were enrolled. We used time-varying spectral and bicoherence methods to compare electroencephalogram signatures 5 min before versus 10 min after intravenous Dex injection under propofol GA. Means and medians are reported with 95% confidence intervals (CIs) and inter-quartile ranges (IQRs), respectively.Results: Dex augmented the slow waves power and theta (θ) oscillation bicoherence peak from a mean (95% CI) of 22.1% (19.0, 25.2) to 25.2% (21.8, 28.6). Meanwhile, Dex reduced alpha (α) peak power and bicoherence from 3.5 dB (1.0, 6.0) and 41.5% (34.0, 49.0) to 1.7 dB (-0.6, 4.0) and 35.4% (29.0, 41.8), respectively, while diminishing the median frequency of α oscillation peak values and the mean frequency of α peaks in bicoherence spectra from 12.0 Hz (IQR: 11.2, 12.6) and 11.7 Hz (11.3, 12.2) to 11.1 Hz (IQR: 10.3, 11.8) Hz and 11.2 Hz (10.9, 11.6),respectively.Conclusions: Profound EEG changes support the supposition that Dex enhancespropofol-induced GA from a moderate to a deeper state. The present findings provide a theoretical basis and reference regarding protocols aimed at reducing anesthetic/sedative dosage while maintaining sufficient depth of GA.Clinical trial registration: ChiCTR, ChiCTR1900026955, Registered 27 October 2019, http://www.chictr.org.cn/showproj.aspx?proj=44495
Improving Infiltration Prediction by Point-based PTFs&nbsp;for Some Soils in Southern of Iran
Authors: Molayem Maryam , Abtahi S A. , Jafarinia M. , Yasrebi J. 
Published: February 2021

Abstract
Modeling soil water infiltration at the field scale with ruler of calcareous, saline and sodic conditions is important for a better understanding of infiltration processes in these soils and future of infiltration modeling. The aim of the present study was to derive and evaluate soil water infiltration models for some calcareous, saline and sodic soils in Marvdasht plain, southern of Iran. The infiltration data was measured in 72 locations at the regional scale with 3 replications. In each location, the basic soil properties were also measured. The multiple linear regression (MLR) and feed-forward multilayer perceptron artificial neural networks (ANN) model were used to estimate cumulative soil water infiltration at different time. The results performance of water infiltration models such as Kostiakov, Kostiakov–Lewis, USDA-NRCS, Philip, Horton and Green-Ampt models according to the mean R2, ME, RMSE and SDRMSE indices for all soils showed the Kostiakov–Lewis model provided the most accurate predictions. Moreover, the results showed that the derived ANN models at different times with a R2 of 0.438-0.661 and a RMSE of 0.977-17.111 performed better than MLR model. There would be great interest to improve the cumulative soil water infiltration in site-specific soil utilization, management and protection of the environment by MLR and ANN methods.
Steel Mill Wastes Application in Soil: Dynamics of Potentially Toxic Elements in Rice and Health Risk Perspectives
Authors: Carvalho Geila S. , Oliveira Jakeline R. , Vasques Isabela , Santana Monna Lysa T. , Justi Marina , Job Marcel T. P. , Lima Francielle R. D. de , Marques João José 
Published: February 2021

Abstract
Potentially toxic elements (PTE’s) are of great concern in steel mill wastes. Therefore, in other to use them as potential fertilizers in soil, risk assessments are needed. Three steel mill wastes were tested as possible amendments for soils at six different doses (0; 0,5; 1; 2; 4; 8; 16 t ha-1): Phosphate mud (PM), Metallurgical press residue (MPR) and Filter press mud (FPM) during rice cultivation in a pot experiment in a Haplic Gleisol. Analysis on rice tissues, including roots, shoots, husk and grains were conducted and contents of Cu, Cd, Ni, Zn, Mn and Pb were assessed. Translocation and bioaccumulation factors were calculated for each element. In general, PTE’s are more accumulated in roots and greater contents of Zn and Mn were found, while the lowest ones were found for Pb, probably due to its lack of functional roles during plants development. Higher translocation was observed for Mn, which is associated to the redox conditions of rice cultivation and the high mobility of this element under this condition. Application of steel mill wastes can increase PTE’s bioavailability and translocation factors, especially PM, but all of the wastes reveal a high hazard index.