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Article ; Online: Development and Validation of a New Nomogram Model for Predicting Acute Ischemic Stroke in Elderly Patients with Non-Valvular Atrial Fibrillation: A Single-Center Cross-Sectional Study.

Guo, Jiongchao / Zhou, Yuan / Zhou, Bingfeng

2024 Volume 19, Page(s) 67–79

Abstract: Background and aims: Non-valvular atrial fibrillation (NVAF) patients face a 3-5 times greater risk of acute ischemic stroke (AIS) compared to those without NVAF. This study aims to establish a novel clinical prediction model for AIS in elderly patients ...

Abstract	Background and aims: Non-valvular atrial fibrillation (NVAF) patients face a 3-5 times greater risk of acute ischemic stroke (AIS) compared to those without NVAF. This study aims to establish a novel clinical prediction model for AIS in elderly patients with NVAF by incorporating relevant biomarker indicators. Methods: A total of 301 individuals diagnosed with NVAF were selected for this investigation at the Third Affiliated Hospital of Anhui Medical University. Based on the presence of AIS, patients were categorized into two groups: the Stroke Cohort and the Non-Stroke Cohort. Predictor screening was performed using the least absolute shrinkage and selection operation (LASSO) regression algorithm. The binary logistic regression equation was applied to fit the model, followed by internal validation using the bootstrap resampling method (1000 times). Receiver operating characteristic (ROC) curve, calibration degree curve plots, and clinical decision curve analysis (DCA) were generated, respectively. Finally, a nomogram was constructed to present the prediction model. Results: The final results of this study revealed that neutrophil-to-lymphocyte ratio (NLR), red cell distribution width (RDW), lipoprotein(a) (Lp(a)), systolic pressure, history of stroke, hyperlipidemia were independent risk factors for AIS in elderly patients with NVAF ( Conclusion: NLR, RDW, Lp(a), SP, history of stroke, hyperlipidemia, and HDL-C emerge as independent prognostic factors for acute ischemic stroke in elderly patients with non-valvular atrial fibrillation. The predictive utility of the nomogram model may potentially surpass that of the CHA2DS2-VASc scoring system.
MeSH term(s)	Humans ; Aged ; Ischemic Stroke/complications ; Atrial Fibrillation/diagnosis ; Cross-Sectional Studies ; Nomograms ; Models, Statistical ; Prognosis ; Stroke/epidemiology ; Stroke/etiology ; Risk Factors ; Hyperlipidemias
Language	English
Publishing date	2024-01-10
Publishing country	New Zealand
Document type	Journal Article
ZDB-ID	2364924-0
ISSN	1178-1998 ; 1176-9092
ISSN (online)	1178-1998
ISSN	1176-9092
DOI	10.2147/CIA.S437065
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Article: Assessing Diagnostic Significance of White Blood Cell Count, Serum C-Reactive Protein, and Procalcitonin in Neonatal Pneumonia: A Comparative Analysis.

Zhou, Bingfeng / Wen, Xiaoli / Zhou, Jun / Lv, Xiaodan

Alternative therapies in health and medicine

2024

Abstract: Objective: This study aims to comprehensively evaluate the diagnostic implications of white blood cell (WBC) count, serum C-reactive protein (CRP), and procalcitonin (PCT) in neonatal pneumonia.: Methods: A cross-sectional study design was employed, ... ...

Abstract	Objective: This study aims to comprehensively evaluate the diagnostic implications of white blood cell (WBC) count, serum C-reactive protein (CRP), and procalcitonin (PCT) in neonatal pneumonia. Methods: A cross-sectional study design was employed, and a total of 30 neonates diagnosed with pneumonia were recruited from Shenzhen Longgang Central Hospital between March 2020 and March 2021. Patients were categorized into three groups: bacterial infection, viral infection, and mycoplasma infection, with 30 cases in each group. Additionally, 30 healthy neonates with normal physical indicators were included as controls. The study assessed WBC counts, serum CRP, and PCT levels. Diagnostic efficiency was investigated, including concentration alterations, sensitivity, and specificity. Results: Infections resulted in a substantial increase in WBC counts and serum concentrations of CRP and PCT. Bacterial infections displayed the most notable alterations, followed by viral and mycoplasma infections (P < .05). Stand-alone PCT testing exhibited superior diagnostic efficiency, followed by WBC and CRP, as evidenced by heightened sensitivity and specificity (P < .05). However, the disparity in diagnostic efficiency between WBC and CRP alone did not attain statistical significance (P > .05). The WBC, CRP, and PCT hybrid assay demonstrated markedly superior sensitivity and specificity compared to stand-alone tests (P < .05). Conclusions: The combined detection of WBC, CRP, and PCT yields a superior diagnostic outcome for neonatal pneumonia compared to individual tests. This approach enhances the potential for early interventions and contributes significantly to improving patient prognosis. The findings underscore the importance of adopting a multi-marker approach in diagnosing neonatal pneumonia.
Language	English
Publishing date	2024-03-29
Publishing country	United States
Document type	Journal Article
ZDB-ID	1225073-9
ISSN	1078-6791
ISSN	1078-6791
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Article: Proarrhythmia associated with antiarrhythmic drugs: a comprehensive disproportionality analysis of the FDA adverse event reporting system.

Wang, Feifei / Zhou, Bingfeng / Sun, Hongwei / Wu, Xinan

Frontiers in pharmacology

2023 Volume 14, Page(s) 1170039

Abstract: Objective: ...

Abstract	Objective:
Language	English
Publishing date	2023-05-12
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2587355-6
ISSN	1663-9812
ISSN	1663-9812
DOI	10.3389/fphar.2023.1170039
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Article ; Online: Effect of breastfeeding on metabolic-related outcomes in women with previous gestational diabetes mellitus: A protocol for systematic review and meta-analysis.

Zhou, Bingfeng / Zhou, Jun

Medicine

2021 Volume 100, Issue 8, Page(s) e24716

Abstract: Background: This meta-analysis was to systematically investigate the effect of breastfeeding on metabolic-related outcomes in women with previous gestational diabetes mellitus (GDM).: Methods: We will search the online databases of Relevant studies ... ...

Abstract	Background: This meta-analysis was to systematically investigate the effect of breastfeeding on metabolic-related outcomes in women with previous gestational diabetes mellitus (GDM). Methods: We will search the online databases of Relevant studies were searched in Pubmed, Embase, Cochrane Library, Web of Science. Relative risk and weighted mean difference with 95% confidence interval will pooled using Stata14.0 software. Conclusion: Our meta-analysis will explore the effect of breastfeeding on metabolic-related outcomes in women with previous GDM and may provide effective treatment options of GDM. Osf registration number: 10.17605/OSF.IO/HA5U8.
MeSH term(s)	Breast Feeding ; Diabetes, Gestational/physiopathology ; Female ; Humans ; Pregnancy ; Research Design ; Meta-Analysis as Topic ; Systematic Review as Topic
Language	English
Publishing date	2021-02-14
Publishing country	United States
Document type	Journal Article
ZDB-ID	80184-7
ISSN	1536-5964 ; 0025-7974
ISSN (online)	1536-5964
ISSN	0025-7974
DOI	10.1097/MD.0000000000024716
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Article ; Online: Association of systemic inflammatory response index with ST segment elevation myocardial infarction and degree of coronary stenosis: a cross-sectional study.

Guo, Jiongchao / Huang, Yating / Pang, Lamei / Zhou, Yuan / Yuan, Jingjing / Zhou, Bingfeng / Fu, Minmin

BMC cardiovascular disorders

2024 Volume 24, Issue 1, Page(s) 98

Abstract: Background: Systemic Inflammatory Response Index (SIRI), a composite inflammatory marker encompassing neutrophils, monocytes, and lymphocytes, has been recognized as a reliable marker of systemic inflammation. This article undertakes an analysis of ... ...

Abstract	Background: Systemic Inflammatory Response Index (SIRI), a composite inflammatory marker encompassing neutrophils, monocytes, and lymphocytes, has been recognized as a reliable marker of systemic inflammation. This article undertakes an analysis of clinical data from ST-segment Elevation Myocardial Infarction (STEMI) patients, aiming to comprehensively assess the relationship between SIRI, STEMI, and the degree of coronary stenosis. Methods: The study involved 1809 patients diagnosed with STEMI between the years 2020 and 2023. Univariate and multivariate logistic regression analyses were conducted to evaluate the risk factors for STEMI. Receiver operating characteristic (ROC) curves were generated to determine the predictive power of SIRI and neutrophil-to-lymphocyte ratio (NLR). Spearman correlation analysis was performed to assess the correlation between SIRI, NLR, and the Gensini score (GS). Results: Multivariate logistic regression analysis showed that the SIRI was the independent risk factor for STEMI (adjusted odds ratio (OR) in the highest quartile = 24.96, 95% confidence interval (CI) = 15.32-40.66, P < 0.001). In addition, there is a high correlation between SIRI and GS (β:28.54, 95% CI: 24.63-32.46, P < 0.001). The ROC curve analysis was performed to evaluate the predictive ability of SIRI and NLR for STEMI patients. The area under the curve (AUC) for SIRI was 0.789. The AUC for NLR was 0.754. Regarding the prediction of STEMI in different gender groups, the AUC for SIRI in the male group was 0.771. The AUC for SIRI in the female group was 0.807. Spearman correlation analysis showed that SIRI exhibited a stronger correlation with GS, while NLR was lower (SIRI: r = 0.350, P < 0.001) (NLR: r = 0.313, P < 0.001). Conclusion: The study reveals a strong correlation between the SIRI and STEMI as well as the degree of coronary artery stenosis. In comparison to NLR, SIRI shows potential in predicting acute myocardial infarction and the severity of coronary artery stenosis. Additionally, SIRI exhibits a stronger predictive capability for female STEMI patients compared to males.
MeSH term(s)	Humans ; Male ; Female ; ST Elevation Myocardial Infarction/diagnosis ; Cross-Sectional Studies ; Lymphocyte Count ; Lymphocytes ; Neutrophils ; Coronary Stenosis/diagnostic imaging ; Systemic Inflammatory Response Syndrome ; Retrospective Studies
Language	English
Publishing date	2024-02-09
Publishing country	England
Document type	Journal Article
ZDB-ID	2059859-2
ISSN	1471-2261 ; 1471-2261
ISSN (online)	1471-2261
ISSN	1471-2261
DOI	10.1186/s12872-024-03751-z
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Article: WGCNA based identification of hub genes associated with cold response and development in

Zhu, Chenyu / Xu, Xinjian / Zhou, Shujing / Zhou, Bingfeng / Liu, Yiming / Xu, Hongzhi / Tian, Yuanmingyue / Zhu, Xiangjie

Frontiers in physiology

2023 Volume 14, Page(s) 1169301

Abstract: Honeybee is a crucial pollinator in nature, and plays an indispensable role in both agricultural production and scientific research. In recent decades, honeybee was challenged with health problems by biotic and abiotic stresses. As a key ecological ... ...

Abstract	Honeybee is a crucial pollinator in nature, and plays an indispensable role in both agricultural production and scientific research. In recent decades, honeybee was challenged with health problems by biotic and abiotic stresses. As a key ecological factor, temperature has been proved to have an impact on the survival and production efficiency of honeybees. Previous studies have demonstrated that low temperature stress can affect honeybee pupation and shorten adult longevity. However, the molecular mechanism underlying the effects of low temperatures on honeybee growth and development during their developmental period remain poorly understood. In this paper, the weighted gene co-expression analysis (WGCNA) was employed to explore the molecular mechanisms underpinnings of honeybees' respond to low temperatures (20°C) during four distinct developmental stages: large-larvae, prepupae, early-pupae and mid-pupae. Through an extensive transcriptome analysis, thirteen gene co-expression modules were identified and analyzed in relation to honeybee development and stress responses. The darkorange module was found to be associated with low temperature stress, with its genes primarily involved in autophagy-animal, endocytosis and MAPK signaling pathways. Four hub genes were identified within this module, namely, loc726497, loc409791, loc410923, and loc550857, which may contribute to honeybee resistance to low temperature and provide insight into the underlying mechanism. The gene expression patterns of grey60 and black modules were found to correspond to the developmental stages of prepupae and early-pupae, respectively, with the hub genes loc409494, loc725756, loc552457, loc726158,
Language	English
Publishing date	2023-05-04
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2564217-0
ISSN	1664-042X
ISSN	1664-042X
DOI	10.3389/fphys.2023.1169301
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Article: Comparison of the Predicting Value of Neutrophil to high-Density Lipoprotein Cholesterol Ratio and Monocyte to high-Density Lipoprotein Cholesterol Ratio for in-Hospital Prognosis and Severe Coronary Artery Stenosis in Patients with ST-Segment Elevation Acute Myocardial Infarction Following Percutaneous Coronary Intervention: A Retrospective Study.

Guo, Jiongchao / Chen, Min / Hong, Yu / Huang, Yating / Zhang, Haiyan / Zhou, Yuan / Zhou, Bingfeng / Fu, Minmin

Journal of inflammation research

2023 Volume 16, Page(s) 4541–4557

Abstract: Background: Neutrophil to high-density lipoprotein cholesterol ratio (NHR) has demonstrated predictive value for coronary artery disease (CAD). However, few research has been conducted on the predictive capacity of NHR for Major Adverse Cardiovascular ... ...

Abstract	Background: Neutrophil to high-density lipoprotein cholesterol ratio (NHR) has demonstrated predictive value for coronary artery disease (CAD). However, few research has been conducted on the predictive capacity of NHR for Major Adverse Cardiovascular Events (MACE) following Percutaneous Coronary Intervention (PCI) or the degree of coronary artery stenosis in hospitalized ST-segment elevation myocardial infarction (STEMI) patients. Methods: The study involved 486 patients diagnosed with STEMI between the years 2020 and 2023. Univariate and multivariate logistic regression analyses were conducted to evaluate the risk factors for MACE after PCI and severe coronary artery stenosis during hospitalization. Receiver operating characteristic (ROC) curves were generated to determine predictive power of NHR and MHR. Spearman correlation analysis was performed to assess the correlation between NHR, MHR and the Gensini score (GS). Results: Multivariate logistic regression analysis showed that the NHR and MHR were the independent risk factor for MACE during hospitalization in STEMI patients (MHR: the odds ratio (OR)=2.347, 95% confidence interval (CI)=1.082-5.089, Conclusion: These findings highlight the potential clinical utility of NHR as a predictive indicator in STEMI patients after PCI during hospitalization, both for MACE events and the degree of coronary artery stenosis.
Language	English
Publishing date	2023-10-16
Publishing country	New Zealand
Document type	Journal Article
ZDB-ID	2494878-0
ISSN	1178-7031
ISSN	1178-7031
DOI	10.2147/JIR.S425663
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Book ; Online: SparseDet

Han, Jianhong / Wan, Zhaoyi / Liu, Zhe / Feng, Jie / Zhou, Bingfeng

Towards End-to-End 3D Object Detection

2022

Abstract: In this paper, we propose SparseDet for end-to-end 3D object detection from point cloud. Existing works on 3D object detection rely on dense object candidates over all locations in a 3D or 2D grid following the mainstream methods for object detection in ... ...

Abstract	In this paper, we propose SparseDet for end-to-end 3D object detection from point cloud. Existing works on 3D object detection rely on dense object candidates over all locations in a 3D or 2D grid following the mainstream methods for object detection in 2D images. However, this dense paradigm requires expertise in data to fulfill the gap between label and detection. As a new detection paradigm, SparseDet maintains a fixed set of learnable proposals to represent latent candidates and directly perform classification and localization for 3D objects through stacked transformers. It demonstrates that effective 3D object detection can be achieved with none of post-processing such as redundant removal and non-maximum suppression. With a properly designed network, SparseDet achieves highly competitive detection accuracy while running with a more efficient speed of 34.5 FPS. We believe this end-to-end paradigm of SparseDet will inspire new thinking on the sparsity of 3D object detection.
Keywords	Computer Science - Computer Vision and Pattern Recognition ; Computer Science - Artificial Intelligence
Subject code	004
Publishing date	2022-06-02
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Spatial and temporal variation characteristics of atmospheric NO

Shen, Nanchi / Zhao, Xue / Li, Lingjun / Zhou, Bingfeng / Duan, Fuzhou / Zhao, Wenji

Air quality, atmosphere, & health

2021 Volume 14, Issue 8, Page(s) 1175–1188

Abstract: Emergency response mechanisms were activated throughout China during the COVID-19 outbreak. It is different from the temporary, partial, and limited pollution control measures taken to ensure the regional environmental quality during several important ... ...

Abstract	Emergency response mechanisms were activated throughout China during the COVID-19 outbreak. It is different from the temporary, partial, and limited pollution control measures taken to ensure the regional environmental quality during several important events such as the 2008 Beijing Olympic Games and the 2014 Asia-Pacific Economic Cooperation (APEC). During the COVID-19 epidemic period, extensive movement of people and almost all unnecessary industrial production (necessary industrial production refers to the production of food, epidemic prevention materials, etc.) have been severely restricted, so transportation and industrial production have been greatly reduced. This is a rare extreme emission reduction scenario that presents a unique opportunity for atmospheric research. In this study, based on hourly mass concentration data of NO
Language	English
Publishing date	2021-04-02
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	2424084-9
ISSN	1873-9326 ; 1873-9318
ISSN (online)	1873-9326
ISSN	1873-9318
DOI	10.1007/s11869-021-01016-8
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Article: Leaf area index retrieval with ICESat-2 photon counting LiDAR

Zhang, Jie / Tian, Jinyan / Li, Xiaojuan / Wang, Le / Chen, Beibei / Gong, Huili / Ni, Rongguang / Zhou, Bingfeng / Yang, Cankun

International journal of applied earth observation and geoinformation. 2021 Dec. 01, v. 103

2021

Abstract: This is the first study to inverse leaf area index (LAI) with photon counting LiDAR (i.e., Ice, Cloud, and Land Elevation Satellite-2/Advanced Topographic Laser Altimeter System, ICESat-2/ATLAS). A new framework composed of three major steps was applied: ...

Abstract	This is the first study to inverse leaf area index (LAI) with photon counting LiDAR (i.e., Ice, Cloud, and Land Elevation Satellite-2/Advanced Topographic Laser Altimeter System, ICESat-2/ATLAS). A new framework composed of three major steps was applied: noise removal algorithm, photon classification algorithm, and the LAI estimation model. To evaluate the feasibility and accuracy of ICESat-2 derived LAI, the MODIS (Moderate Resolution Imaging Spectroradiometer) LAI product at the spatial resolution of 500-m over two sites (Amazon rainforest and Daxing’an mountains forests) were selected for comparison purpose. The results show satisfactory agreements (Amazon: R=0.693, RMSE=2.545; Daxing’an: R=0.626, RMSE=1.893; Two sites together: R=0.667, RMSE=2.433) between MODIS LAI and ICESat-2 derived LAI. Moreover, we also selected the LAI derived from Sentinel-2 to further validate the ICESat-2 derived LAI, and got better results than MODIS LAI (Amazon: R=0.752, RMSE=2.329; Daxing’an: R=0.704, RMSE=1.724). Our study found that: (1) The new applied framework can effectively inverse LAI with ICESat-2. (2) The ICESat-2 derived LAI are reliable. (3) ICESat-2 exists many advantages over MODIS in terms of LAI estimation, for example, it not only can alleviate the issue of saturation of MODIS when LAI is high, but also can mitigate the problem of poor inversion effect of MODIS where the vegetation types are diversity.
Keywords	algorithms ; altimeters ; ice ; leaf area index ; lidar ; models ; photons ; spatial data ; topography ; Amazonia
Language	English
Dates of publication	2021-1201
Publishing place	Elsevier B.V.
Document type	Article
ISSN	1569-8432
DOI	10.1016/j.jag.2021.102488
Database	NAL-Catalogue (AGRICOLA)

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