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Article ; Online: A comprehensive study on the risk factors and pathogen analysis of postoperative wound infections following caesarean section procedures.

Dong, Hui / Song, Jie / Jia, Yanju / Cui, Hongyan / Chen, Xu

2024 Volume 21, Issue 1, Page(s) e14609

Abstract: Postoperative wound infections (PWIs), a subtype of surgical site infections, are a significant concern for patients undergoing caesarean sections (C-sections). Understanding risk factors and pathogen profiles can greatly assist in early diagnosis and ... ...

Abstract	Postoperative wound infections (PWIs), a subtype of surgical site infections, are a significant concern for patients undergoing caesarean sections (C-sections). Understanding risk factors and pathogen profiles can greatly assist in early diagnosis and effective treatment. This study aimed to identify risk factors and analyse the pathogenic landscape contributing to PWIs in C-sections. A nested case-control study was carried out, utilising stringent criteria for case selection and control matching. Diagnostic criteria for surgical site infections included both clinical and microbiological parameters. Risk variables examined included patient age, Body Mass Index, duration of surgery and several other clinical indicators. Microbiological analysis was performed using the BD Phoenix-100 Automated Bacterial Identification System. Statistical analyses were conducted using SPSS version 26.0, and risk factors were evaluated through both univariate and multivariate analyses. A total of 50 patients, aged between 20 and 45 years (mean age 26.3 ± 5.6), developed PWIs following C-sections. The study revealed a temporal distribution and various clinical indicators of PWIs, including elevated white blood cell count and C-reactive protein levels. Gram-negative bacteria were found to be more prevalent at 57.4%. Notable pathogens included Pseudomonas aeruginosa and Acinetobacter baumannii. Antimicrobial resistance patterns were also identified, highlighting the need for a targeted antibiotic approach. Increased infection risks were linked to lack of prophylactic antibiotics, absence of preoperative povidone-iodine antisepsis, operations over an hour, anaemia, amniotic fluid contamination, diabetes, GTI, premature rupture of membranes and white blood cells counts above 10 × 10
MeSH term(s)	Humans ; Female ; Pregnancy ; Young Adult ; Adult ; Middle Aged ; Surgical Wound Infection/diagnosis ; Surgical Wound Infection/etiology ; Surgical Wound Infection/epidemiology ; Cesarean Section/adverse effects ; Case-Control Studies ; Povidone-Iodine/therapeutic use ; Anti-Bacterial Agents/therapeutic use ; Risk Factors
Chemical Substances	Povidone-Iodine (85H0HZU99M) ; Anti-Bacterial Agents
Language	English
Publishing date	2024-01-25
Publishing country	England
Document type	Journal Article
ZDB-ID	2170920-8
ISSN	1742-481X ; 1742-4801
ISSN (online)	1742-481X
ISSN	1742-4801
DOI	10.1111/iwj.14609
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Article ; Online: Transcranial Direct Current Stimulation-based Neuromodulation Improves the Performance of Brain-Computer Interfaces Based on Steady-State Visual Evoked Potential.

Zhang, Shangen / Gao, Xiaorong / Cui, Hongyan / Chen, Xiaogang

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society

2023 Volume PP

Abstract: The study of brain state estimation and intervention methods is of great significance for the utility of brain-computer interfaces (BCIs). In this paper, a neuromodulation technology using transcranial direct current stimulation (tDCS) is explored to ... ...

Abstract	The study of brain state estimation and intervention methods is of great significance for the utility of brain-computer interfaces (BCIs). In this paper, a neuromodulation technology using transcranial direct current stimulation (tDCS) is explored to improve the performance of steady-state visual evoked potential (SSVEP)-based BCIs. The effects of pre-stimulation, sham-tDCS and anodal-tDCS are analyzed through a comparison of the EEG oscillations and fractal component characteristics. In addition, in this study, a novel brain state estimation method is introduced to assess neuromodulation-induced changes in brain arousal for SSVEP-BCIs. The results suggest that tDCS, and anodal-tDCS in particular, can be used to increase SSVEP amplitude and further improve the performance of SSVEP-BCIs. Furthermore, evidence from fractal features further validates that tDCS-based neuromodulation induces an increased level of brain state arousal. The findings of this study provide insights into the improvement of BCI performance based on personal state interventions and provide an objective method for quantitative brain state monitoring that may be used for EEG modeling of SSVEP-BCIs.
Language	English
Publishing date	2023-02-14
Publishing country	United States
Document type	Journal Article
ZDB-ID	1166307-8
ISSN	1558-0210 ; 1063-6528 ; 1534-4320
ISSN (online)	1558-0210
ISSN	1063-6528 ; 1534-4320
DOI	10.1109/TNSRE.2023.3245079
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Article ; Online: Downregulation of TCL6 protected human trophoblast cells from LPS-induced inflammation and ferroptosis.

Wang, Yue / Liu, Shasha / Cui, Hongyan / Chang, Ying

Functional & integrative genomics

2023 Volume 23, Issue 3, Page(s) 226

Abstract: Dysregulation of noncoding RNAs has been reported to have a close correlation with preeclampsia(PE)development. TCL6 was upregulated in patients with PE. In this study, we examined the impacts of TCL6 on modulating HTR-8/SVneo cells induced by LPS. LPS ( ... ...

Abstract	Dysregulation of noncoding RNAs has been reported to have a close correlation with preeclampsia(PE)development. TCL6 was upregulated in patients with PE. In this study, we examined the impacts of TCL6 on modulating HTR-8/SVneo cells induced by LPS. LPS (100 and 200 ng/ml) was applied to induce inflammation in trophoblast cells HTR-8/SVneo. Cell viability, apoptosis, and transwell experiments were conducted. The ELISA methods were used for pro-inflammatory cytokines IL-1β, IL-6, and TNF-α. MDA, GSH, and GPX kits were employed. Transfection was performed for expression regulation of TCL6, miR-485-5p, and TFRC in cells. Bioinformatic online tools were used to predict the targeting sites. Luciferase and RNA immunoprecipitation-qPCR were done to verify the interactions of TCL6, miR-485-5p, and TFRC. RNA expression levels were measured using RT-qPCR, and protein expression of TFRC and GPX4 was detected using a western blot. The free Fe (II) contents were measured. LPS decreased viability, invasion, and migration but enhanced apoptosis, ferroptosis, and inflammation. TCL6 expression was enhanced by LPS induction. The knockdown of TCL6 increased HTR-8/SVneo cell viability and invasion but inhibited cell apoptosis, inflammation, and ferroptosis while inhibition of miR-485-5p could reverse this through TFRC regulation. Moreover, miR-485-5p was sponged by TCL6 and bound to TFRC. TCL6 protected trophoblast cells from LPS-induced injury through the TFRC pathway.
MeSH term(s)	Female ; Humans ; Pregnancy ; Cell Movement/genetics ; Cell Proliferation/genetics ; Down-Regulation ; Ferroptosis/genetics ; Lipopolysaccharides/toxicity ; MicroRNAs/genetics ; MicroRNAs/metabolism ; Trophoblasts/metabolism ; RNA, Long Noncoding
Chemical Substances	Lipopolysaccharides ; MicroRNAs ; MIRN485 microRNA, human ; long noncoding RNA TCL6, human ; RNA, Long Noncoding
Language	English
Publishing date	2023-07-08
Publishing country	Germany
Document type	Journal Article
ZDB-ID	2014670-X
ISSN	1438-7948 ; 1438-793X
ISSN (online)	1438-7948
ISSN	1438-793X
DOI	10.1007/s10142-023-01148-3
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Article ; Online: A complete hydatidiform mole and coexisting viable fetus in a twin pregnancy: a case report with literature review.

Wang, Guan / Cui, Hongyan / Chen, Xu

The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians

2023 Volume 36, Issue 1, Page(s) 2183746

Abstract: Introduction: A twin pregnancy involving a hydatidiform mole (HM) coexisting with a developing fetus is an extremely rare obstetric complication, which typically presents as a complete hydatidiform mole with a coexisting fetus (CHMCF) or a partial ... ...

Abstract	Introduction: A twin pregnancy involving a hydatidiform mole (HM) coexisting with a developing fetus is an extremely rare obstetric complication, which typically presents as a complete hydatidiform mole with a coexisting fetus (CHMCF) or a partial hydatidiform mole with a coexisting fetus (PHMCF). Case presentation: A 26-year-old woman was admitted to our hospital due to a small volume of vaginal bleeding during the 31st week of pregnancy. The patient was previously healthy, and an intrauterine singleton pregnancy was detected by ultrasound on day 46 of gestation; however, bunch-of-grapes sign was observed in the uterine cavity at 24 weeks. The patient was subsequently diagnosed with CHMCF. As the patient insisted on continuing her pregnancy, she underwent hospital monitoring. Vaginal bleeding occurred in the 33rd week again and received a course of betamethasone, then continued pregnancy after bleeding stopped spontaneously. In the 37th week, a male infant weighing 3090 g was delivered by cesarean section, with an Apgar score of 10 at 1 min and a karyotype of 46XY. Placental pathology confirmed the diagnosis of a complete hydatid tumor. Conclusion: In this report, a case of CHMCF was maintained by monitoring of blood pressure, thyroid function, human chorionic gonadotrophin, and fetal condition during pregnancy. A live newborn was delivered by cesarean section. CHMCF is a clinically rare disease with high risks; thus, it should be diagnosed carefully using several tools, including ultrasound, magnetic resonance imaging, and karyotype analysis and dynamically monitored if the patient decides to continue the pregnancy.
MeSH term(s)	Humans ; Infant, Newborn ; Pregnancy ; Male ; Female ; Adult ; Pregnancy, Twin ; Uterine Neoplasms/complications ; Uterine Neoplasms/diagnostic imaging ; Cesarean Section ; Placenta/pathology ; Hydatidiform Mole/diagnosis ; Hydatidiform Mole/diagnostic imaging ; Fetus/pathology ; Uterine Hemorrhage
Language	English
Publishing date	2023-03-09
Publishing country	England
Document type	Review ; Case Reports ; Journal Article
ZDB-ID	2077261-0
ISSN	1476-4954 ; 1057-0802 ; 1476-7058
ISSN (online)	1476-4954
ISSN	1057-0802 ; 1476-7058
DOI	10.1080/14767058.2023.2183746
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Zs.A 3510: Show issues

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Article ; Online: A High-Frequency SSVEP-BCI System Based on Simultaneous Modulation of Luminance and Motion Using Intermodulation Frequencies.

Li, Meng / Chen, Xiaogang / Cui, Hongyan

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society

2023 Volume 31, Page(s) 2603–2611

Abstract: The low-frequency steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) tend to induce visual fatigue in the subjects. In order to enhance the comfort of SSVEP-BCIs, a novel SSVEP-BCI encoding method based on simultaneous ... ...

Abstract	The low-frequency steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) tend to induce visual fatigue in the subjects. In order to enhance the comfort of SSVEP-BCIs, a novel SSVEP-BCI encoding method based on simultaneous modulation of luminance and motion is proposed. In this work, sixteen stimulus targets are simultaneously flickered and radially zoomed using a sampled sinusoidal stimulation method. The flicker frequency is set to a 30 Hz for all the targets, while assigning different radial zoom frequencies (ranging from 0.4 Hz to 3.4 Hz, with an interval of 0.2 Hz) are assigned to each target separately. Accordingly, an extended vision of the filter bank canonical correlation analysis (eFBCCA) is proposed to detect the intermodulation (IM) frequencies and classify the targets. In addition, we adopt the comfort level scale to evaluate the subjective comfort experience. By optimizing the combination of IM frequencies for the classification algorithm, the average recognition accuracy of the offline and online experiments reaches 92.74 ± 1.53% and 93.33 ± 0.01%, respectively. Most importantly, the average comfort scores are above 5. These results demonstrate the feasibility and comfort of the proposed system using IM frequencies, which provides new ideas for the further development of highly comfortable SSVEP-BCIs.
MeSH term(s)	Humans ; Evoked Potentials, Visual ; Brain-Computer Interfaces ; Photic Stimulation/methods ; Electroencephalography/methods ; Algorithms
Language	English
Publishing date	2023-06-13
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	1166307-8
ISSN	1558-0210 ; 1063-6528 ; 1534-4320
ISSN (online)	1558-0210
ISSN	1063-6528 ; 1534-4320
DOI	10.1109/TNSRE.2023.3281416
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Article ; Online: A High-Rate Hybrid BCI System Based on High-Frequency SSVEP and sEMG.

Cui, Hongyan / Chi, Xinyi / Wang, Lei / Chen, Xiaogang

IEEE journal of biomedical and health informatics

2023 Volume 27, Issue 12, Page(s) 5688–5698

Abstract: Recently, various biosignals have been combined with electroencephalography (EEG) to build hybrid brain-computer interface (BCI) systems to improve system performance. Since steady-state visual evoked potential (SSVEP) and surface electromyography (sEMG) ...

Abstract	Recently, various biosignals have been combined with electroencephalography (EEG) to build hybrid brain-computer interface (BCI) systems to improve system performance. Since steady-state visual evoked potential (SSVEP) and surface electromyography (sEMG) are easy-to-use, non-invasive techniques, and have high signal-to-noise ratio (SNR), hybrid BCI systems combining SSVEP and sEMG have received much attention in the BCI literature. However, most existing studies regarding hybrid BCIs based on SSVEP and sEMG adopt low-frequency visual stimuli to induce SSVEPs. The comfort of these systems needs further improvement to meet the practical application requirements. The present study realized a novel hybrid BCI combining high-frequency SSVEP and sEMG signals for spelling applications. EEG and sEMG were obtained simultaneously from the scalp and skin surface of subjects, respectively. These two types of signals were analyzed independently and then combined to determine the target stimulus. Our online results demonstrated that the developed hybrid BCI yielded a mean accuracy of 88.07 ± 1.43% and ITR of 159.12 ± 4.31 bits/min. These results exhibited the feasibility and effectiveness of fusing high-frequency SSVEP and sEMG towards improving the total BCI system performance.
MeSH term(s)	Humans ; Brain-Computer Interfaces ; Evoked Potentials, Visual ; Electromyography ; Photic Stimulation/methods ; Electroencephalography/methods
Language	English
Publishing date	2023-12-05
Publishing country	United States
Document type	Journal Article
ZDB-ID	2695320-1
ISSN	2168-2208 ; 2168-2194
ISSN (online)	2168-2208
ISSN	2168-2194
DOI	10.1109/JBHI.2023.3321722
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Article ; Online: The risk factors and care measures of surgical site infection after cesarean section in China: a retrospective analysis.

Li, Lijun / Cui, Hongyan

BMC surgery

2021 Volume 21, Issue 1, Page(s) 248

Abstract: Background: Surgical site infections after cesarean section are very common clinically, it is necessary to evaluate the risk factors of surgical site infections after cesarean section, to provide evidences for the treatment and nursing care of cesarean ... ...

Abstract	Background: Surgical site infections after cesarean section are very common clinically, it is necessary to evaluate the risk factors of surgical site infections after cesarean section, to provide evidences for the treatment and nursing care of cesarean section. Methods: This study was a retrospective cohort study design. Patients undergone cesarean section in a tertiary hospital of China from May 2017 to May 2020 were identified, we collected the clinical data of the included patients, and we analyzed the infection rate, etiological characteristics and related risk factors of surgical site infection after caesarean section. Results: A total of 206 patients with cesarean section were included, and the incidence of surgical site infection in patients with cesarean section was 23.30%. A total of 62 cases of pathogens were identified, Enterococcus faecalis (33.87%) and Escherichia coli (29.03%) were the most common pathogens. Both Enterococcus faecalis and Escherichia coli were highly sensitive to Cefoperazone, Meropenem, and Levofloxacin. Logistic regression analyses indicated that Age ≥ 30y (OR 4.18, 95%CI: 1.23-7.09), BMI ≥ 24 (OR 2.39, 95%CI: 1.02-4.55), duration of cesarean section ≥ 1.5 h (OR 3.90, 95%CI: 1.28-5.42), estimated blood loss ≥ 400 ml (OR 2.35, 95%CI: 1.10-4.37) and the duration of urinary catheter ≥ 24 h (OR 3.18, 95% CI: 1.21-5.71) were the independent risk factors of surgical site infection after cesarean section (all p < 0.05). Conclusions: Age, BMI, duration of surgery, blood loss and urinary catheter use were associated with higher risk of the surgical site infection after cesarean section. Clinical preventions and interventions are warranted for those population to reduce the occurrence of surgical site infection.
MeSH term(s)	Cesarean Section/adverse effects ; China/epidemiology ; Female ; Humans ; Pregnancy ; Retrospective Studies ; Risk Factors ; Surgical Wound Infection/epidemiology ; Surgical Wound Infection/etiology
Language	English
Publishing date	2021-05-19
Publishing country	England
Document type	Journal Article
ZDB-ID	2050442-1
ISSN	1471-2482 ; 1471-2482
ISSN (online)	1471-2482
ISSN	1471-2482
DOI	10.1186/s12893-021-01154-x
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Article ; Online: Hybrid Brain-Computer Interface Controlled Soft Robotic Glove for Stroke Rehabilitation.

Zhang, Ruoqing / Feng, Shanshan / Hu, Nan / Low, Shunkang / Li, Meng / Chen, Xiaogang / Cui, Hongyan

IEEE journal of biomedical and health informatics

2024 Volume PP

Abstract: Soft robotic glove controlled by a brain-computer interface (BCI) have demonstrated effectiveness in hand rehabilitation for stroke patients. Current systems mostly rely on static visual representations for patients to perform motor imagination (MI) ... ...

Abstract	Soft robotic glove controlled by a brain-computer interface (BCI) have demonstrated effectiveness in hand rehabilitation for stroke patients. Current systems mostly rely on static visual representations for patients to perform motor imagination (MI) tasks, resulting in lower BCI performance. Therefore, this study innovatively used MI and high-frequency steady-state visual evoked potential (SSVEP) to construct a friendly and natural hybrid BCI paradigm. Specifically, the stimulation interface sequentially presented decomposed action pictures of the left and right hands gripping a ball, with the pictures flashing at specific stimulation frequencies (left: 34 Hz, right: 35 Hz). Integrating soft robotic glove as feedback, we established a comprehensive "peripheral - central - peripheral" hand rehabilitation system to facilitate the hand rehabilitation of patients. Filter bank common spatial pattern (FBCSP) and filter bank canonical correlation analysis (FBCCA) algorithms were used to identify MI and SSVEP signals, respectively. Additionally, to fuse the features of these two signals, we proposed a novel fusion algorithm for improving the recognition accuracy of the system. The feasibility of the proposed system was validated through online experiments involving 12 healthy subjects and 9 stroke patients, achieving accuracy rates of 95.83 ± 6.83% and 63.33 ± 10.38%, respectively. The accuracy of MI and SSVEP in 12 healthy subjects reached 81.67 ± 15.63% and 95.14 ± 7.47%, both lower than the accuracy after fusion, these results confirmed the effectiveness of the proposed algorithm. The accuracy rate was more than 50% in both healthy subjects and patients, confirming the effectiveness of the proposed system.
Language	English
Publishing date	2024-04-22
Publishing country	United States
Document type	Journal Article
ZDB-ID	2695320-1
ISSN	2168-2208 ; 2168-2194
ISSN (online)	2168-2208
ISSN	2168-2194
DOI	10.1109/JBHI.2024.3392412
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Article ; Online: Improving SSVEP-BCI Performance Through Repetitive Anodal tDCS-Based Neuromodulation: Insights From Fractal EEG and Brain Functional Connectivity.

Zhang, Shangen / Cui, Hongyan / Li, Yong / Chen, Xiaogang / Gao, Xiaorong / Guan, Cuntai

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society

2024 Volume 32, Page(s) 1647–1656

Abstract: This study embarks on a comprehensive investigation of the effectiveness of repetitive transcranial direct current stimulation (tDCS)-based neuromodulation in augmenting steady-state visual evoked potential (SSVEP) brain-computer interfaces (BCIs), ... ...

Abstract	This study embarks on a comprehensive investigation of the effectiveness of repetitive transcranial direct current stimulation (tDCS)-based neuromodulation in augmenting steady-state visual evoked potential (SSVEP) brain-computer interfaces (BCIs), alongside exploring pertinent electroencephalography (EEG) biomarkers for assessing brain states and evaluating tDCS efficacy. EEG data were garnered across three distinct task modes (eyes open, eyes closed, and SSVEP stimulation) and two neuromodulation patterns (sham-tDCS and anodal-tDCS). Brain arousal and brain functional connectivity were measured by extracting features of fractal EEG and information flow gain, respectively. Anodal-tDCS led to diminished offsets and enhanced information flow gains, indicating improvements in both brain arousal and brain information transmission capacity. Additionally, anodal-tDCS markedly enhanced SSVEP-BCIs performance as evidenced by increased amplitudes and accuracies, whereas sham-tDCS exhibited lesser efficacy. This study proffers invaluable insights into the application of neuromodulation methods for bolstering BCI performance, and concurrently authenticates two potent electrophysiological markers for multifaceted characterization of brain states.
MeSH term(s)	Humans ; Transcranial Direct Current Stimulation/methods ; Electroencephalography ; Brain-Computer Interfaces ; Evoked Potentials, Visual/physiology ; Male ; Adult ; Female ; Young Adult ; Fractals ; Arousal/physiology ; Brain/physiology ; Healthy Volunteers ; Algorithms
Language	English
Publishing date	2024-04-22
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	1166307-8
ISSN	1558-0210 ; 1063-6528 ; 1534-4320
ISSN (online)	1558-0210
ISSN	1063-6528 ; 1534-4320
DOI	10.1109/TNSRE.2024.3389051
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Article ; Online: Dynamic Asynchronous Anti Poisoning Federated Deep Learning with Blockchain-Based Reputation-Aware Solutions.

Chen, Zunming / Cui, Hongyan / Wu, Ensen / Yu, Xi

Sensors (Basel, Switzerland)

2022 Volume 22, Issue 2

Abstract: As promising privacy-preserving machine learning technology, federated learning enables multiple clients to train the joint global model via sharing model parameters. However, inefficiency and vulnerability to poisoning attacks significantly reduce ... ...

Abstract	As promising privacy-preserving machine learning technology, federated learning enables multiple clients to train the joint global model via sharing model parameters. However, inefficiency and vulnerability to poisoning attacks significantly reduce federated learning performance. To solve the aforementioned issues, we propose a dynamic asynchronous anti poisoning federated deep learning framework to pursue both efficiency and security. This paper proposes a lightweight dynamic asynchronous algorithm considering the averaging frequency control and parameter selection for federated learning to speed up model averaging and improve efficiency, which enables federated learning to adaptively remove the stragglers with low computing power, bad channel conditions, or anomalous parameters. In addition, a novel local reliability mutual evaluation mechanism is presented to enhance the security of poisoning attacks, which enables federated learning to detect the anomalous parameter of poisoning attacks and adjust the weight proportion of in model aggregation based on evaluation score. The experiment results on three datasets illustrate that our design can reduce the training time by 30% and is robust to the representative poisoning attacks significantly, confirming the applicability of our scheme.
MeSH term(s)	Blockchain ; Deep Learning ; Humans ; Machine Learning ; Privacy ; Reproducibility of Results
Language	English
Publishing date	2022-01-17
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s22020684
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