180 results on '"Haiyan Yin"'
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2. The outflow problem for the radiative and reactive gas: existence, stability and convergence rate
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Haiyan Yin and Changjiang Zhu
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Applied Mathematics ,General Physics and Astronomy ,Statistical and Nonlinear Physics ,Mathematical Physics - Abstract
In this paper, we show that the small-amplitude stationary solutions are time-asymptotically stable to the half-space problem for the one-dimensional radiative and reactive gas (pressure p = R ρ θ + a 3 θ 4 , internal energy e = C v θ + a ρ θ 4 ) provided that the initial perturbation is sufficiently small in some weighted Sobolev spaces. We also obtain the convergence rate of global solutions toward corresponding stationary solutions. The proofs are given by a weighted energy method. A key point is to capture the positivity of the energy dissipation functional and boundary terms with suitable space weight functions and using the precise estimates about stationary solutions.
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- 2023
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3. Infections in Acute Pancreatitis: Organisms, Resistance-Patterns and Effect on Mortality
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Fang Li, Feng Zhang, Xueqin Wan, Kesong Wu, Qing Liu, Chuiyan Qiu, Haiyan Yin, and Jun Lyu
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Physiology ,Gastroenterology - Abstract
Acute pancreatitis (AP) is a common gastrointestinal disease in which infection is a serious complication. Understanding its bacterial spectrum and antibiotic resistance is of great significance for treatment.This retrospective study analyzed the Medical Information Mart for Intensive Care database with the aim of identifying the distribution characteristics of pathogenic bacteria in AP patients.First, 2089 AP patients were classified and analyzed statistically according to culture results. Second, the bacterial profile, antibiotic resistance, and antibiotic-use data of positive culture group were analyzed. Third, logistic regression analysis was used to identify the rick factors of culture results, and culture results correlations with mortality.This study included 1486 patients in negative culture group, 603 patients in positive cultures. Enterococcus spp. (71%), Enterococcus faecium (61%), and Staphylococcus aureus coagulase-positive (54%) exhibited the highest proportions of drug resistance. Logistic regression revealed five factors related to positive culture (the number of antibiotics, length of stay in hospital, length of stay in intensive care unit, mechanical ventilation, and parenteral nutrition) and four factors related to distribution of multidrug-resistant bacterial infection (age, hemoglobin, length of stay in hospital, and duration on antibiotics).This study found that enteric bacteria were the most common source of infection (26.7%). Carbapenems, penicillins containing enzyme inhibitors, fifth-generation cephalosporins, oxazolidinones, and some of the aminoglycoside antibiotics had high sensitivity, which can guide the use of clinical empiric antibiotics. Positive culture was an independent risk factor for in-hospital all-cause mortality of AP patients.
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- 2022
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4. Articular Cartilage-Inspired Hybrid Double-Network Hydrogels with a Layered Structure and Low Friction Properties
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Lina Huang, Zhipeng Li, Shuanhong Ma, Dongdong Ye, Jia Yang, Gang Qin, Haiyan Yin, and Qiang Chen
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Polymers and Plastics ,Process Chemistry and Technology ,Organic Chemistry - Published
- 2022
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5. Tough Adhesive, Antifreezing, and Antidrying Natural Globulin-Based Organohydrogels for Strain Sensors
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Jia Yang, Zhuangzhuang Liu, Ke Li, Jiajia Hao, Yaxin Guo, Mingxin Guo, Zhipeng Li, Shuzheng Liu, Haiyan Yin, Xinlei Shi, Gang Qin, Gengzhi Sun, Lin Zhu, and Qiang Chen
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Elastomers ,Adhesives ,Electric Conductivity ,Humans ,Globulins ,Hydrogels ,General Materials Science - Abstract
Hydrogels are often used to fabricate strain sensors; however, they also suffer from freezing at low temperatures and become dry during long-time storage. Encapsulation of hydrogels with elastomers is one of the methods to solve these problems although the adhesion between hydrogels and elastomers is usually low. In this work, using bovine serum protein (BSA) as the natural globulin model and glycerol/H
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- 2022
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6. Long‐Lived Photoacid‐Doped Conducting Composites Induce Photocurrent for Efficient Wound Healing
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Haiyan Yin, Huifang Du, Wenya Li, Yinhua Qin, Yonghong Fan, Ju Tan, Mingcan Yang, Chuhong Zhu, and Youqian Xu
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Biomaterials ,Biomedical Engineering ,Pharmaceutical Science - Published
- 2023
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7. Harnessing Oxidative Microenvironment for In Vivo Synthesis of Subcellular Conductive Polymer Microesicles Enhances Nerve Reconstruction
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Yinhua Qin, Yonghong Fan, Ruyue Chen, Haiyan Yin, Hao Zou, Xiaohang Qu, Ju Tan, Youqian Xu, and Chuhong Zhu
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Mechanical Engineering ,General Materials Science ,Bioengineering ,General Chemistry ,Condensed Matter Physics - Published
- 2022
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8. PaCO2 Levels at Admission Influence the Prognosis of Sepsis Patients: A Nonlinear Relationship
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Zhongkai Qu, Yan Ye, Fang Li, Yinlong Ren, Fan Lu, Longzhu Li, Jun Lyu, and Haiyan Yin
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Fuel Technology ,Energy Engineering and Power Technology - Published
- 2023
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9. TFAM-Mediated mitochondrial transfer of MSCs improved the permeability barrier in sepsis-associated acute lung injury
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Feng Zhang, Xinglong Zheng, Fengzhi Zhao, Longzhu Li, Yinlong Ren, Lijun Li, Haiyan Huang, and Haiyan Yin
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Pharmacology ,Cancer Research ,Biochemistry (medical) ,Clinical Biochemistry ,Pharmaceutical Science ,Cell Biology - Published
- 2023
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10. Venous thromboembolism prophylaxis and mortality in patients with spinal fractures in <scp>ICUs</scp>
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Shaojin Li, Luming Zhang, Haiyan Yin, Guowei Zhang, Minghui Tan, Zhenbin Cai, Tao Huang, Hongsheng Lin, and Jun Lyu
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Critical Care Nursing - Published
- 2023
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11. Norepinephrine combined with phenylephrine versus norepinephrine in patients with septic shock: a retrospective cohort study
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Dan He, Luming Zhang, Xuehao Lu, Wan-jie Gu, Haiyan Yin, Hai Hu, Liang Hong, and Jun lyu
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Infectious Diseases - Abstract
Background Phenylephrine (PE) and norepinephrine (NE) may be used to maintain adequate blood pressure and tissue perfusion in patients with septic shock, but the effect of NE combined with PE (NE-PE) on mortality remains unclear. We hypothesized that NE-PE would not inferior to NE alone for all-cause hospital mortality in patients with septic shock. Methods This single-center, retrospective cohort study included adult patients with septic shock. According to the infusion type, patients were divided into the NE-PE or NE group. Multivariate logistic regression, propensity score matching and doubly robust estimation were used to analyze the differences between groups. The primary outcome was the all-cause hospital mortality rate after NE-PE or NE infusion. Results Among 1, 747 included patients, 1, 055 received NE and 692 received NE-PE. For the primary outcome, the hospital mortality rate was higher in patients who received NE-PE than in those who received NE (49.7% vs. 34.5%, p p Conclusions NE combined with PE was inferior to NE alone in patients with septic shock, and it was associated with a higher hospital mortality rate.
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- 2023
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12. Interfacial Click Chemistry Enabled Strong Adhesion toward Ultra‐Durable Crack‐Based Flexible Strain Sensors
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Xinlei Shi, Lin Zhu, Hui Yu, Ziqing Tang, Shaoping Lu, Haiyan Yin, Min You, Gengzhi Sun, and Qiang Chen
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Biomaterials ,Electrochemistry ,Condensed Matter Physics ,Electronic, Optical and Magnetic Materials - Published
- 2023
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13. Flipped online teaching of histology and embryology with design thinking: Design, practice and reflection
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Yan Guo, Xiaomei Wang, Yang Gao, Haiyan Yin, Qun Ma, and Ting Chen
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Background Flexible hybrid teaching has become the new normal of basic medical education in the postepidemic era. Identifying ways to improve the quality of curriculum teaching and achieve high-level talent training is a complex problem that urgently needs to be solved. Over the course of the past several semesters, the research team has integrated design thinking (DT) into undergraduate teaching to identify, redesign and solve complex problems in achieving curriculum teaching and professional talent training objectives. Methods After attempting online and offline hybrid traditional teaching, the aim of the research is to study the positive attempt of online flipped teaching using two selected course chapters. The research team redesigned the curriculum and evaluation method involved in teaching these chapters and implemented them in accordance with this new curriculum, aiming at the problems uncovered in the initial attempts. Thus, the curriculum and questionnaire should have shown improvement, and iterative products should have been applied in a timelier manner in the later attempts at flipped teaching. The selected sample comprised the Jining Medical College (JNMC) undergraduate oral (112 students) and nursing (44 students) classes. Student performance was measured according to the questionnaire results, student feedback and course grades. GraphPad Prism software was used for data analysis, and the statistical method was conducted by multiple or unpaired t test. Results Most students report a positive attitude towards the teaching model, and nearly 80% of students reported exercising multiple abilities while learning the material. This further iteration of the design scheme improves the teaching effect of online flipped classrooms. The exam scores for flipped teaching chapters increase markedly in flipped classrooms, and the difference is statistically significant. Conclusion Online flipped teaching is an effective means of integrating DT into the flexible and mixed teaching of Health Education (HE), and it can effectively enhance students' learning input and cultivate students' autonomous learning ability. This research reshapes the approach to classroom teaching through the deep integration of modern information technology into educational philosophy. Future work should explore the optimal proportion by which to appropriately expand the scope of flipped teaching content.
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- 2023
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14. Corrigendum: Anti-embolism devices therapy to improve the ICU mortality rate of patients with acute myocardial infarction and type II diabetes mellitus
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Xiaxuan Huang, Luming Zhang, Mengyuan Xu, Shiqi Yuan, Yan Ye, Tao Huang, Haiyan Yin, and Jun Lyu
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Cardiology and Cardiovascular Medicine - Published
- 2023
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15. Risk for the release of an enormous amount of nanoplastics and microplastics from partially biodegradable polymer blends
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Xin-Feng Wei, Mikael S. Hedenqvist, Luyao Zhao, Andreas Barth, and Haiyan Yin
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Environmental Chemistry ,Pollution - Abstract
Non-biodegradable polymers are released as microplastics into the environments during the biodegradation of partially biodegradable polymer blends.
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- 2022
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16. Numerical Simulation of the Internal Flow Stability in a Centrifugal Pump with High Specific Speed at Partial Load
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Haiyan Yin, Jianyuan Lv, Wenqian Xu, Hua-Shu Dou, and Yuliang Zhang
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Materials science ,Computer simulation ,Mechanics of Materials ,Internal flow ,Mechanical Engineering ,Specific speed ,Computational Mechanics ,Mechanics ,Centrifugal pump ,Stability (probability) - Published
- 2021
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17. Malignant cancer may increase the risk of all-cause in-hospital mortality in patients with acute myocardial infarction: a multicenter retrospective study of two large public databases
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Jianfeng Ye, Luming Zhang, Jun Lyu, Yidan Wang, Shiqi Yuan, Zhifeng Qin, Yu Liu, Tao Huang, Jinwei Tian, and Haiyan Yin
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Oncology ,Cardiology and Cardiovascular Medicine - Abstract
Background Acute myocardial infarction (AMI) and cancer are diseases with high morbidity and mortality worldwide, bringing a serious economic burden, and they share some risk factors. The purpose of this study was to determine the effect of cancer on the all-cause in-hospital mortality of patients with AMI. Methods This multicenter retrospective study analyzed patients with AMI from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database and eICU Collaborative Research Database (eICU-CRD) in the United States. Patients were divided into two groups based on whether they had concomitant malignant cancer: cancer and noncancer groups. The outcome was all-cause in-hospital mortality. The association between the two groups and their outcomes were analyzed using Kaplan–Meier and Cox proportional-hazards regression models. Propensity score matching (PSM) and propensity score based inverse probability of treatment weighting (IPTW) were used to further adjust for confounding variables to verify the stability of the results. Results The study included 3,034 and 5,968 patients with AMI from the MIMIC-IV database and the eICU-CRD, respectively. Kaplan–Meier survival curves indicated that the probability of in-hospital survival was lower in patients with cancer than in those without cancer. After adjusting for potential confounding variables using multivariable Cox proportional hazards regression, the risk of all-cause in-hospital mortality was significantly higher in the cancer than the noncancer group, and the HR (95% CI) values for the cancer group were 1.56(1.22,1.98) and 1.35(1.01,1.79) in the MIMIC-IV database and the eICU-CRD, respectively. The same results were obtained after using PSM and IPTW, which further verified the results. Conclusions Among the patients with AMI, the all-cause in-hospital mortality risk of those with cancer was higher than those without cancer. Therefore, when treating such patients, comprehensive considerations should be made from a multidisciplinary perspective involving cardiology and oncology, with the treatment plan adjusted accordingly.
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- 2023
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18. Physical properties and cellular responses of gelatin methacryloyl bulk hydrogels and highly ordered porous hydrogels
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Haiyan Yin, Mengxiang Zhu, Yingying Wang, Lihua Luo, Qingsong Ye, and Bae Hoon Lee
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Protein-based hydrogels hold a high content of water in their three-dimensional (3D) network structure and exhibit innate biological activities as well as soft tissue-like mechanical properties, resulting in being highly applicable to various tissue engineering fields. However, precisely controlling the 3D porous structure of protein-based hydrogels remains a challenging task, and understanding the influence of their porous structure on physical properties and cellular responses is crucial for tissue engineering applications. In this study, we prepared highly ordered gelatin methacryloyl hydrogels with regular interconnected pores and traditional bulk hydrogels with irregular pores to evaluate their differences in physiochemical properties and cellular behaviors. Highly ordered gelatin methacryloyl hydrogels exhibited a high degree of compliance owing to their sponge-like structure whereas gelatin methacryloyl bulk hydrogels exhibited relatively higher moduli but were brittle due to a densely packed structure. The highly ordered gelatin methacryloyl hydrogels with interconnected pores supported higher cell viability (about 100%) due to an efficient flux of oxygen and nutrients compared to the dense bulk hydrogels showing cell viability (around 80%). Also, cells in the highly ordered gelatin methacryloyl hydrogels displayed a more stretched morphology compared to those in the gelatin methacryloyl bulk hydrogels that exhibited a more round morphology during the cell culture period.
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- 2023
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19. Effect of nano‐sized zinc citrate on the supercritical carbon dioxide‐assisted extrusion foaming behavior of poly(lactic acid)
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Gang Zhou, Wenjun Liu, Haiyan Yin, Yinhang Zhang, and Chengzhe Huang
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Polymers and Plastics ,Materials Chemistry ,General Chemistry ,Surfaces, Coatings and Films - Published
- 2023
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20. Development and Validation of Prediction Models for High Flow Nasal Cannula Failure in Patients with Acute Hypoxic Respiratory Failure: A Machine-Learning Approach (Preprint)
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Lv Jun, Haiyan Yin, Hongtao Cheng, Zichen Wang, Wan-Jie Gu, Luming Zhang, and Tao Huang
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BACKGROUND Background: Acute hypoxic respiratory failure (AHRF) accounts for a large proportion of intensive care unit admissions. High flow nasal cannula (HFNC) is an emerging respiratory support technique that may improve oxygenation levels in patients. However, failure of HFNC may result in delayed intubation, prolonged mechanical ventilation and increased risk of increased mortality. Timely and accurate prediction of HFNC failure is of clinical importance. OBJECTIVE Objective: to develope and validate prediction models for high flow nasal cannula failure in patients with acute hypoxic respiratory failure. METHODS Methods: Firstly, the least absolute shrinkage and selection operator regression analysis was used as the feature selection for HFNC failure, and the features suitable for constructing the prediction model were selected by the lowest λ of the minimum mean cross-validation error. Next, four machine learning algorithms, C5.0, random forest (RF), extreme random tree (ERT) and extreme gradient boosting (XGBoost), were selected to construct the prediction models. Finally, the models are validated using receiver operating characteristic (ROC) curves and exact recall (PR) curves, model evaluation metrics, calibration plots and decision curve analysis, and further evaluated by internal validation. RESULTS Results: The study included 739 patients. Of those, 232 (31.4%) patients experienced HFNC failure. The areas under the receiver operating characteristic curves (AUROCs) of the C5.0, random forest, extremely randomized trees , and Extreme Gradient Boosting models were 0.807, 0.819, 0.816, and 0.818, respectively, which were higher than the ROX (AUROC=0.603) and mROX (AUROC=0.579) indexes. Similarly, the areas under the precision-recall curves (AUPRs) of the C5.0, RF, ERT, and XGBoost models were 0.813, 0.837, 0.832, and 0.839, respectively, which were higher than the ROX (AUPR=0.646) and mROX (AUPR=0.609) indexes. The ERT model had the most balanced predictive performance (sensitivity 0.701, specificity 0.817, accuracy 0.761, and balanced accuracy 0.759). The calibration curves demonstrated that the predicted risk probabilities among the ML models and the observed probabilities maintained good consistency. The results of the decision-curve analysis indicated the clinical validity of the ML model. CONCLUSIONS Conclusions: This study has developed an interpretable ML model for accurately predicting the risk of HFNC failure in patients with AHRF. The model had better predictive performance than the existing ROX and mROX indexes. CLINICALTRIAL Trial registration: None
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- 2022
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21. Acupuncture alleviates behavioral stereotypies of Tourette Syndrome via CB1 receptors in dopaminergic neurons of nigrostriatal system
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Lixue Lin, Yuye Lan, Lingling Yu, Suixi Wang, Shuang Wu, Wangyixuan Wan, Tengfei Hou, Hong Zhang, Wenqiang Ge, Chao Chen, Ouyang Zhanmu, Yan Ma, Wen Su, Yong Tang, Haiyan Yin, and Man Li
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Objective Tourette syndrome (TS) is a common neurological disorder characterized by behavioral stereotypies. Acupuncture has been found to improve stereotypical behavior in a clinical setting, but its mechanism remains unclear. The main pathogenesis of TS may result from the dysfunction of the dopamine (DA) system in the substantia nigra-striatal network. Moreover, endocannabinoids have therapeutic effects on TS by activating the CB1 receptors (CB1R). Methods In this study, we determined the optimal acupuncture treatment for TS. Further, we investigated whether CB1R could mediate the effects of acupuncture treatment on behavioral stereotypies of TS and regulate the concentration of DA in substantia nigra pars compacta (SNpc) and the dorsal striatum (dSTR). Results We found that both manual acupuncture and low-frequency electroacupuncture alleviated involuntary behavioral stereotypies in TS model mice, decreased the concentration of DA in the SNpc and dSTR, and increased CB1R expression in dopaminergic neurons in the SNpc. Targeted knockout of CB1R in dopaminergic neurons projecting from SNpc to dSTR reversed the effects of acupuncture. Conclusion Our results support that CB1R in dopaminergic neurons projecting from SNpc to dSTR is involved in acupuncture treatment to alleviate stereotypical behavior in TS model mice.
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- 2022
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22. Association between blood pressure during vasopressor weaning and in-hospital survival: an analysis of vasopressor targets
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Zichen, Wang, Luming, Zhang, Wen, Ma, Hao, Wang, Haiyan, Yin, and Jun, Lyu
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Hypertension ,Humans ,Blood Pressure ,Weaning ,Hospitals ,Retrospective Studies - Abstract
To analyze the association between blood pressure during vasopressor weaning and in-hospital mortality in patients admitted to an intensive care unit (ICU).Observational retrospective single-center study including patient data registered in the Medical Information Mart for Intensive Care, version 4. The outcome was in-hospital mortality. We used restricted cubic spline (RCS) functions to analyze the associations between mortality and systolic and diastolic blood pressures and mean arterial pressure (SBP, DBP, and MAP, respectively) during weaning from vasopressors. The data was stratified a ccording t o SBP, DBP, and MAP, and sensitivity was assessed with Cox regression analysis.Data for 8294 patients were analyzed. The RCS functions showed that SBP, DBP, and MAP values had nonlinear U-shaped associations with in-hospital mortality. Patients were classified into the following subgroups according to points of intersection of SBP, DBP, and MAP reference values: SBP 110, 110-150, or150 mmHg; DBP 60, 60-85, or85 mmHg; and MAP 75, 75-110, or110 mmHg. In the lowest blood pressure group the hazard ratio was 0.59 (95% CI, 0.52-0.66) for SBP in the 110-150 mmHg range; 0.62 (95% CI, 0.55-0.70) for DBP in the 60-85 mmHg range; and 0.64 (95% CI, 0.57-0.72) for MAP in the 75-110 mmHg range during weaning. The analysis of subgroups also indicated that blood pressures during weaning interacted with cerebral vascular disease and chronic obstructive pulmonary disease.Higher blood pressures during vasopressor weaning are associated with longer in-hospital survival in ICU patients. The optimum pressure ranges are SBP, 110-150 mmHg; DBP, 60-85 mmHg; and MAP, 75-110 mmHg. Blood pressures may behave differently according to diagnosis.Analizar la relación entre la presión arterial (PA) durante el destete de fármacos vasopresores y la mortalidad intrahospitalaria en pacientes ingresados en una unidad de cuidados intensivos (UCI).Estudio de cohorte observacional, retrospectivo y unicéntrico. Incluyó pacientes del registro MIMIC-IV. La variable de resultado fue la mortalidad intrahospitalaria. Se utilizaron splines cúbicos restringidos (SCR) para estudiar la relación entre la PA durante el destete de los vasopresores [sistólica (DPAS), diastólica (DPAD), media (DPAM)] y la mortalidad. Los pacientes se clasificaron en diferentes subgrupos según sus cifras de DPAS, DPAD y DPAM. Se realizó un análisis de sensibilidad mediante regresión de Cox.Se analizaron 8.294 pacientes. El SCR mostró que DPAS, DPAD y DPAM tenían una relación no lineal, en forma de “U”, con la mortalidad intrahospitalaria. Basándose en los puntos de intersección de los valores de referencia, los pacientes se clasificaron en los siguientes grupos: DPAS 110, 110-150 y150 mmHg; DPAD 60, 60-85 y85mmHg; y DPAM 75, 75-110 y110 mmHg. En comparación con el grupo de PA más baja, de DPAS entre 110-150 mmHg tenía una hazard ratio (HR) de 0,59 (IC 95% 0,52-0,66), DPAD entre 60-85 mmHg una HR de 0,62 (IC 95% 0,55-0,70) y DPAM entre 75-110 mmHg una HR de 0,64 (IC 95% 0,57-0,72). El análisis de subgrupos diagnósticos mostró que la PA durante el destete interactuaba con la enfermedad vascular cerebral y con la enfermedad pulmonar crónica.Valores altos de PA durante el destete de los fármacos vasopresores se asocian a una mayor supervivencia intrahospitalaria en pacientes ingresados en una UCI. Los valores óptimos son: DPAS 110-150 mmHg, DPAD 60-85 mmHg y DPAM 75-110 mmHg. La PA óptima puede ser diferente en función del diagnóstico del paciente.
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- 2022
23. The mechanisms underlying the actions of Xuefu Zhuyu decoction pretreatment against neurological deficits after ischemic stroke in mice: The mediation of glymphatic function by aquaporin-4 and its anchoring proteins
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Ting Yi, Ping Gao, Meng Hou, Huan Lv, Mengyuan Huang, Shanshan Gao, Jinrong He, Dongdong Yang, Weiyin Chen, Tianmin Zhu, Chang Yu, Fuyou Liu, Haiyan Yin, and Shuoguo Jin
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Pharmacology ,Pharmacology (medical) - Abstract
Ischemic stroke (IS) has been associated with an impairment in glymphatic function. Xuefu Zhuyu Decoction (XFZYD) is widely used in the prevention and treatment of ischemic stroke. We hypothesized that Xuefu Zhuyu decoction pretreatment could attenuate early neurological deficits after ischemic stroke by enhancing the function of the glymphatic system. To prove our hypothesis, we carried out temporary middle cerebral artery occlusion and reperfusion surgery on C57BL/6 mice and then measured neurological score, infarct size and performed hematoxylin-eosin staining to assess stroke outcomes after 24 h of reperfusion. Subsequently, we injected fluorescent tracers in to the cisterna magna and evaluated tracer distribution in coronal brain sections. The polarization of aquaporin-4 (AQP4), colocalization of aquaporin-4, α-dystroglycan, β-dystroglycan and agrin were determined by immunofluorescence. Our research showed that pretreatment with Xuefu Zhuyu decoction significantly alleviated neurological scores, neurological deficits and pathological abnormalities in a mouse model of ischemic stroke. Importantly, Xuefu Zhuyu decoction pretreatment enhanced cerebrospinal fluid influx, protected aquaporin-4 depolarization and promoted the colocalization of aquaporin-4 with its anchoring proteins in the brain. Our findings highlight novel mechanisms underlying the neuroprotective effect of Xuefu Zhuyu decoction pretreatment on ischemic stroke-induced brain damage through the glymphatic system. Xuefu Zhuyu decoction pretreatment may offer a promising approach to slow the onset and progression of ischemic stroke.
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- 2022
24. Effects of growth trajectory of shock index within 24 h on the prognosis of patients with sepsis
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Fengshuo Xu, Luming Zhang, Tao Huang, Didi Han, Rui Yang, Shuai Zheng, Aozi Feng, Liying Huang, Haiyan Yin, and Jun Lyu
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General Medicine - Abstract
BackgroundSepsis is a serious disease with high clinical morbidity and mortality. Despite the tremendous advances in medicine and nursing, treatment of sepsis remains a huge challenge. Our purpose was to explore the effects of shock index (SI) trajectory changes on the prognosis of patients within 24 h after the diagnosis of sepsis.MethodsThis study was based on Medical Information Mart for Intensive Care IV (MIMIC- IV). The effects of SI on the prognosis of patients with sepsis were investigated using C-index and restricted cubic spline (RCS). The trajectory of SI in 24 h after sepsis diagnosis was classified by latent growth mixture modeling (LGMM). Cox proportional hazard model, double robust analysis, and subgroup analysis were conducted to investigate the influence of SI trajectory on in-hospital death and secondary outcomes.ResultsA total of 19,869 patients were eventually enrolled in this study. C-index showed that SI had a prognostic value independent of Sequential Organ Failure Assessment for patients with sepsis. Moreover, the results of RCS showed that SI was a prognostic risk factor. LGMM divided SI trajectory into seven classes, and patients with sepsis in different classes had notable differences in prognosis. Compared with the SI continuously at a low level of 0.6, the SI continued to be at a level higher than 1.0, and the patients in the class whose initial SI was at a high level of 1.2 and then declined had a worse prognosis. Furthermore, the trajectory of SI had a higher prognostic value than the initial SI.ConclusionBoth initial SI and trajectory of SI were found to be independent factors that affect the prognosis of patients with sepsis. Therefore, in clinical treatment, we should closely monitor the basic vital signs of patients and arrive at appropriate clinical decisions on basis of their change trajectory.
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- 2022
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25. Association between statin use and the prognosis of patients with acute myocardial infarction complicated with diabetes
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Xuehao Lu, Luming Zhang, Shaojin Li, Dan He, Tao Huang, Hongsheng Lin, Haiyan Yin, and Jun Lyu
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Cardiology and Cardiovascular Medicine - Abstract
BackgroundType 2 diabetes leads to an increase in the prevalence of lipid abnormalities, which increases the risk of cardiovascular disease. Therefore, current guidelines generally recommend the use of moderate or high-intensity statins in patients with type 2 diabetes. There are still few studies on the overall risk benefit balance of statins for acute myocardial infarction (AMI) patients with diabetes. Compared with other types of lipid-lowering drugs, the advantage of statins for the prognosis of patients with AMI has not yet been determined. We investigated the effects of statins and non-statins on intensive care unit (ICU) and inpatient mortality in patients with AMI and diabetes.MethodsThis study retrospectively collected all patients with AMI and diabetes in the Medical Information Mart Intensive Care-IV database. We assessed ICU and in-hospital mortality rates during hospitalization in both groups. The clinical end point was in-hospital mortality and ICU mortality. Kaplan-Meier and Cox proportional-hazards regression models were applied to analyze the correlation between the two groups and the outcomes.ResultsData on 1,315 patients with AMI and diabetes were collected, among which 1,211 used statins during hospitalization. The overall in-hospital mortality of patients with AMI and diabetes was 17.2%, and the total ICU mortality was 12.6%. The in-hospital mortality was lower for the statin group than for the non-statin group (13.9% and 55.8%, respectively). Kaplan-Meier survival curves demonstrated that survival probability was higher in the statin group than in the non-statin group. In the cohort without hyperlipidemia, the statin group had lower risks of ICU death (HR = 0.12, 95% CI = 0.04–0.40) and in-hospital death (HR = 0.36, 95% CI = 0.16–0.84) compared with the non-statin group.ConclusionsStatins can significantly reduce ICU and in-hospital mortality rates in patients with AMI and diabetes. Even in the population without hyperlipidemia, statins can still reduce the mortality in patients with AMI and diabetes.
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- 2022
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26. Developing an explainable machine learning model to predict the mechanical ventilation duration of patients with ARDS in intensive care units
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Zichen Wang, Luming Zhang, Tao Huang, Rui Yang, Hongtao Cheng, Hao Wang, Haiyan Yin, and Jun Lyu
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Pulmonary and Respiratory Medicine ,Cardiology and Cardiovascular Medicine ,Critical Care and Intensive Care Medicine - Abstract
Acute respiratory distress syndrome (ARDS) is common in intensive care units with high mortality rate and mechanical ventilation (MV) is the most important related treatment. Early prediction of MV duration has benefit for patients risk stratification and care strategies support.To develop an explainable model for predicting mechanical ventilation (MV) duration in patients with ARDS using the machine learning (ML) approach.The number of 1,148, 1,697, and 29 ARDS patients admitted to intensive care units (ICU) in the MIMIC-IV, eICU-CRD, and AmsterdamUMCdb databases were included in the study. Features at MV initiation from the MIMIC-IV dataset were used to train prediction models based on seven supervised machine learning algorithms. After 5-fold cross-validation for hyperparameters tuning, the hyperparameters- optimized model of different algorithms was tested by external datasets extracted from eICU-CRD and Amsterdamumcdb. Finally, three descriptive machine learning explanation methods were conducted for the model explanation.The XGBoosting model showed the most stable and accurate performance among two testing datasets (RMSE= 5.57 and 5.46 days in eICU-CRD and AmsterdamUMCdb) and was selected as the optimal model. The model explanation based on SHAP, LIME, and DALEX results showed a consistent result, vasopressor, PH, and SOFA score had the highest effect on MV duration prediction.ML models with features at MV initiation can accurate predict MV duration in patients with ARDS in ICUs. Among seven algorithms, XGB models showed the best performance (RMSE= 5.57 and 5.46 in two external datasets). LIME, SHAP, and Breakdown methods showed good performance as AXI methods.
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- 2022
27. Sequential Generative Exploration Model for Partially Observable Reinforcement Learning
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Haiyan Yin, Jianda Chen, Sinno Jialin Pan, and Sebastian Tschiatschek
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General Medicine - Abstract
Many challenging partially observable reinforcement learning problems have sparse rewards and most existing model-free algorithms struggle with such reward sparsity. In this paper, we propose a novel reward shaping approach to infer the intrinsic rewards for the agent from a sequential generative model. Specifically, the sequential generative model processes a sequence of partial observations and actions from the agent's historical transitions to compile a belief state for performing forward dynamics prediction. Then we utilize the error of the dynamics prediction task to infer the intrinsic rewards for the agent. Our proposed method is able to derive intrinsic rewards that could better reflect the agent's surprise or curiosity over its ground-truth state by taking a sequential inference procedure. Furthermore, we formulate the inference procedure for dynamics prediction as a multi-step forward prediction task, where the time abstraction that has been incorporated could effectively help to increase the expressiveness of the intrinsic reward signals. To evaluate our method, we conduct extensive experiments on challenging 3D navigation tasks in ViZDoom and DeepMind Lab. Empirical evaluation results show that our proposed exploration method could lead to significantly faster convergence than various state-of-the-art exploration approaches in the testified navigation domains.
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- 2021
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28. Reversing lung cancer radioresistance by hyperpermeable tellurium nanotherapeutics via remodeling tumor microenvironment
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Fengzhi Zhao, Wei Huang, Lizhen He, Shiqing Nie, Zhiting Sun, Tianfeng Chen, Haiyan Yin, and Jianfu Zhao
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Biomedical Engineering ,Pharmaceutical Science ,General Materials Science ,Bioengineering ,Biotechnology - Published
- 2023
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29. Non-fluorine surface modification of acetylated birch for improved water repellence
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Mikko Tuominen, Maziar Sedighi Moghaddam, Andra Dėdinaitė, Magnus Wålinder, Haiyan Yin, and Agne Swerin
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0106 biological sciences ,Materials science ,Birch wood ,chemistry.chemical_element ,02 engineering and technology ,021001 nanoscience & nanotechnology ,01 natural sciences ,Superhydrophobic coating ,Biomaterials ,chemistry.chemical_compound ,Silicone ,Chemical engineering ,chemistry ,010608 biotechnology ,Fluorine ,Surface modification ,0210 nano-technology - Abstract
In this work, a non-fluorinated surface treatment, i.e., hydrophobized silicone nanofilaments, was applied on both birch and acetylated birch wood samples via a gas-phase based reaction. A superhydrophobic behavior was observed on both the surface-modified samples as revealed by the static water contact angles (CAs) greater than 160°, also valid for samples prepared with the shortest reaction time of 1 h. The dynamic wettability behavior of the samples was studied by a multicycle Wilhelmy plate method. The surface-modified acetylated birch exhibited a pronounced enhanced water resistance, resulting in very low water uptake of 3 ± 1 wt% after 100 cycles, which was not only about 29 and 5 times lower than that of the non-surface-modified birch and acetylated birch, respectively, but also three times lower than that of the surface-modified birch. Moreover, the aesthetic appearance of the acetylated wood was maintained as the surface modification only resulted in a small color change. This work shows the potential of preparing super water-repellent wood by non-fluorinated surface modification.
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- 2021
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30. A Newly-Synthesized Chalcone Derivative of Ligustrazine Induces Caspase-Dependent and Apoptosis-Inducing Factor-Dependent Apoptosis in Cochlear Hair Cells
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Rongjun Man, Haiyan Yin, Jia Zhao, Qianqian Yang, Huiming Yang, Xiaoyu Yu, Weiwei Zhang, and Jianfeng Li
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Biomedical Engineering ,Medicine (miscellaneous) ,Bioengineering ,sense organs ,Biotechnology - Abstract
Objective: A newly synthesized derivative of ligustrazine chalcone, named as Z11, has shown a variety of promising biological activities. Here we aim to explore the effects of Z11 on the cochlear hair cells (HCs). Methods: Immunostaining and transmission electron microscopy (TEM) were used to examine the survival of HCs and their morphological changes. Furthermore, apoptosis was detected by terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) assay and the mRNA expression of apoptosis related genes including Caspase-9, Caspase-3, Bcl-2, Bax and Apaf1 were measured by RT-PCR. In addition, the protein expression of cleaved-Caspas-3 and cleaved-Caspase-9 were analyzed by Western blot respectively, and the protein expressionof AIF and cleaved-Caspase-3 were assessed by immunofluorescence as well. Results: Immunostaining showed that Z11 was ototoxic to mouse cochlear hair cells and significantly triggered cell death in a concentration-, time- and location-dependent manner. TUNEL assays evidenced that Z11 exerts its cytotoxicity through induction of apoptosis of cochlear hair cells in vitro. Immunofluorescence and western blot assay showed that Z11 activated the translation of apoptosis-inducing factor (AIF) and Caspase-9/Caspase-3 dependent apoptotic pathway in cochlear hair cells (HCs). Conclusion:These findings suggest that Z11 exhibits its ototoxicity through inducing apoptosis of HCs via both Caspase-dependent and AIF translocation pathways in mouse cochlear cultures.
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- 2021
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31. Anti-embolism devices therapy to improve the ICU mortality rate of patients with acute myocardial infarction and type II diabetes mellitus
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Xiaxuan Huang, Luming Zhang, Mengyuan Xu, Shiqi Yuan, Yan Ye, Tao Huang, Haiyan Yin, and Jun Lyu
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Cardiology and Cardiovascular Medicine - Abstract
BackgroundAnti-Embolism (AE) devices therapy is an additional antithrombotic treatment that is effective in many venous diseases, but the correlations between this medical compression therapy and cardiovascular arterial disease or comorbid diabetes mellitus (DM) are still controversial. In this study we investigated the association between compression therapy and intensive care unit (ICU) mortality in patients with a first acute myocardial infarction (AMI) diagnosis complicated with type II DM.MethodsThis retrospective cohort study analyzed all patients with AMI and type II DM in the Medical Information Mart for Intensive Care-IV database. We extracted the demographics, vital signs, laboratory test results, comorbidities, and scoring system results of patients from the first 24 h after ICU admission. The outcomes of this study were 28-day mortality and ICU mortality. Analyses included Kaplan–Meier survival analysis, Cox proportional-hazards regression, and subgroup analysis.ResultsThe study included 985 eligible patients with AMI and type II DM, of who 293 and 692 were enrolled into the no-AE device therapy and AE device therapy groups, respectively. In the multivariate analysis, compared with no-AE device therapy, AE device therapy was a significant predictor of ICU mortality (HR = 0.48, 95% CI = 0.24–0.96, P = 0.039) and 28-day mortality (HR = 0.50, 95% CI = 0.27–0.90, P = 0.021). In addition to age, gender and coronary artery bypass grafting surgery, there were no significant interactions of AE device therapy and other related risk factors with ICU mortality and 28-day mortality in the subgroup analysis.ConclusionsSimple-AE-device therapy was associated with reduced risks of ICU mortality and 28-day mortality, as well as an improvement in the benefit on in-hospital survival in patients with AMI complicated with type II DM.
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- 2022
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32. Construction of path analysis model on related factors of social isolation in older people
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Weitong Li, Qing Wang, Haiyan Yin, Yulei Song, Wenjing Tu, Lulu Wang, Yongqi Liang, Yamei Bai, and Guihua Xu
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Psychiatry and Mental health ,Aging ,Cross-Sectional Studies ,Social Isolation ,Quality of Life ,Humans ,Social Support ,Geriatrics and Gerontology ,Social Participation ,Gerontology ,Aged - Abstract
With the gradual acceleration of population ageing, social isolation in older people has increasingly become a hot topic of social concern. The reduction of valid social participation will cause older people to weaken their sense of belonging to the community and social acquisition, negatively impacting on older people's quality of life. This study is aimed to explore the main related factors affecting the social isolation of older people, so as to provide a solid scientific basis for improving the health behaviour of older people in China.A cross-sectional study was conducted among 2267 community residents over 60 years old from four cites in Jiangsu Province, China. Perceived social support scale, Geriatric Depression Scale, Connor-Davidson Resilience Scale, Comprehensive Ability of Older People Assessment Scale and other influencing factors scales were used to investigate the current situation. Social isolation was measured with the Lubben Social Network Scale. Demographic data were evaluated using descriptive statistical analyses and relationships among study variables were determined to use a path analysis. All data were analyzed using SPSS version 22 and AMOS version 26 using T-test, analysis of variance, logistic regression analyses, and path analysis method. The test level was set at alpha = 0.05, and the difference was statistically significant at P-value0.05.The results of the model test analysis indicated that the hypothesised paths were supported by data from our samples and demonstrated significance on the path coefficients (P 0.05). Related factors in the three dimensions of social risk, economic risk and cultural risk have an impact on the social isolation of older people in the community through direct and indirect pathways, and also indirectly through the partially mediated role of depression. Overall, our hypothesised model was retained, indicating empirical support and adequate model fit indices for the theoretical model.The findings demonstrated the predictive role of related factors of social isolation in older people. In the future, we should focus on developing interventions by uniting many forces such as society, family and older people themselves to reduce social isolation among this vulnerable population and improve the quality of life of older people and promote healthy ageing.
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- 2022
33. Developing an ensemble machine learning model for early prediction of sepsis-associated acute kidney injury
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Luming Zhang, Zichen Wang, Zhenyu Zhou, Shaojin Li, Tao Huang, Haiyan Yin, and Jun Lyu
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Multidisciplinary - Abstract
Sepsis-associated acute kidney injury (S-AKI) is very common and early prediction is beneficial. This study aiming to develop an accurate ensemble model to predict the risk of S-AKI based on easily available clinical information. Patients with sepsis from the United States (US) database Medical Information Mart for Intensive Care-IV were used as a modeling cohort to predict the occurrence of AKI by combining Support Vector Machine, Random Forest, Neural Network, and Extreme Gradient Boost as four first-level learners via stacking algorithm. The external validation databases were the eICU Collaborative Research Database from US and Critical Care Database comprising infection patients at Zigong Fourth People's Hospital from China, whose AUROC values for the ensemble model 48-12 h before the onset of AKI were 0.774-0.788 and 0.756-0.813, respectively. In this study, an ensemble model for early prediction of S-AKI onset was developed and it demonstrated good performance in multicenter external datasets.
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- 2022
34. Developing an Explainable Machine Learning Algorithm to Predict the Mechanical Ventilation Duration of Patients with ARDS in Intensive Care Units
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Zichen Wang, Luming Zhang, Tao Huang, Rui Yang, Hao Wang, Haiyan Yin, and Jun Lyu
- Abstract
Objective: This study aimed to develop an explainable model for predicting mechanical ventilation (MV) duration in patients with acute respiratory distress syndrome (ARDS) using on a machine learning (ML) approach.Method: Of the 4443 patients with ARDS in the Medical Information Mart for Intensive Care-IV database, 2702 were selected to construct feature set A (age at admission, BMI, Acute Physiology Score III [APS-III], Sequential Organ Failure Assessment [SOFA] score, and other features at MV initiation), and 2228 patients remained for construct feature sets B (age, APS-III, SOFA score, and remaining features after 24 hours MV) and C (A+B). After feature sets were randomly assigned with 70% in a training cohort and 30% in a testing cohort, tenfold cross-validation was conducted on training cohort to determine the best performing model, which was accessed in the related testing cohort and explained using SHapley Additive exPlanations (SHAP).Result: The tenfold cross-validation results indicated that the Extreme Gradient Boosting model had the best performance on the training set (root-mean-square error [RMSE]=5.78 days [SD=0.52 days]) among six algorithms. The Bland–Altman plot and paired sample t-test results indicated that the predicted and actual values of the optimal model were consistent, with RMSE=6.85 days. The SHAP results indicated that the three most important features for the model were APS-III, age, and BMI, and there was an obvious effect of the interaction between APS-III and age on the SHAP value.Conclusion: ML models can accurately predict the MV duration of patients with ARDS in intensive care units. The feature set based at MV initiation had better predictive performance than the feature set at 24 hours after MV.
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- 2022
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35. Effects of Gastric Acid Secretion Inhibitors for Ventilator-Associated Pneumonia
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Fang Li, Hui Liu, Luming Zhang, Xiaxuan Huang, Yu Liu, Boen Li, Chao Xu, Jun Lyu, and Haiyan Yin
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Pharmacology ,Pharmacology (medical) - Abstract
Objective: This study analyzed the association of gastric acid secretion inhibitors (GASIs) [including proton pump inhibitors (PPIs) and histamine 2 receptor antagonists (H2RAs)] with the occurrence of ventilator-associated pneumonia (VAP) and in-hospital mortality in patients who received invasive mechanical ventilation (IMV).Method: Patients who received IMV and used GASI were included based on records in the MIMIC-IV database. The relationships of GASIs with VAP and the in-hospital mortality were determined using univariate and multivariate logistic regression analyses. Also, the effects of GASIs in some subgroups of the population were further analyzed.Results: A total of 18,669 patients were enrolled, including 9191 patients on H2RAs only, 6921 patients on PPIs only, and 2557 were on a combination of the two drugs. Applying logistic regression to the univariate and multivariate models revealed that compared with H2RAs, PPIs had no significant effect on the incidence of VAP, and the combination of H2RAs and PPIs was a risk factor for VAP. Compared with H2RAs, univariate logistic regression revealed that, PPIs and combine the two drugs were both risk factors for in-hospital mortality, but multivariate logistic regression showed that they were not significantly associated with in-hospital mortality. In subgroup analysis, there were interaction in different subgroups of age, PCO2, myocardial infarct, congestive heart failure (P for interactionConclusion: Compared with H2RAs, PPIs did not have a significant association with either VAP or in-hospital mortality; the combination of H2RAs and PPIs was risk factor for VAP, but did not have a significantly associated with in-hospital mortality.
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- 2022
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36. Harnessing Oxidative Microenvironment for
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Yinhua, Qin, Yonghong, Fan, Ruyue, Chen, Haiyan, Yin, Hao, Zou, Xiaohang, Qu, Ju, Tan, Youqian, Xu, and Chuhong, Zhu
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Oxidative Stress ,Tissue Engineering ,Polymers ,Electric Conductivity ,Biocompatible Materials - Abstract
Conductive polymers (CPs) are promising biomaterials to address signal connection at biointerfaces for tissue regeneration. However, regulating material microstructure at the subcellular scale to provide a more seamless interface between conductive substrates and cells remains a great challenge. Here, we demonstrate that chemical factors and enzyme-carried subcellular structures at lesion site provide a natural bioreactor to self-assemble conductive microvesicles (CMVs) for improving bioelectrical signal reconstruction. The synthesized CMVs contribute to the electrical conduction of the injured nerve in the early stage. Moreover, CMVs are eventually expelled via lymphatic capillary to minimize space-occupying and chronic inflammation. Therefore, we provide a prototype to integrate specific physiological microenvironments and polymer chemistry to manufacture subcellular functional materials with self-adaptive interface
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- 2022
37. Polyzwitterions as a Versatile Building Block of Tough Hydrogels: From Polyelectrolyte Complex Gels to Double-Network Gels
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Tasuku Nakajima, Tao Lin Sun, Jian Ping Gong, Yoshiyuki Saruwatari, Daniel R. King, Haiyan Yin, and Takayuki Kurokawa
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Toughness ,Chemical substance ,Materials science ,Polymers ,Surface Properties ,macromolecular substances ,Sulfonic acid ,law.invention ,Magazine ,law ,medicine ,Moiety ,General Materials Science ,Particle Size ,chemistry.chemical_classification ,Molecular Structure ,technology, industry, and agriculture ,Hydrogels ,Polyelectrolytes ,Polyelectrolyte ,chemistry ,Chemical engineering ,Self-healing hydrogels ,Sulfonic Acids ,Swelling ,medicine.symptom ,Gels - Abstract
The high water content of hydrogels makes them important as synthetic biomaterials, and tuning the mechanical properties of hydrogels to match those of natural tissues without changing chemistry is usually difficult. In this study, we have developed a series of hydrogels with varied stiffness, strength, and toughness based on a combination of poly(2-acrylamido-2-methylpropane sulfonic acid) (PAMPS), a strong acidic polyelectrolyte, and poly-N-(carboxymethyl)-N,N-dimethyl-2-(methacryloyloxy) ethanaminium) (PCDME), a polyzwitterion with a weak acidic moiety. We demonstrate that modifying the true molar ratio, R, of PCDME to PAMPS results in four unique categories of hydrogels with different swelling ratios and Young's moduli. When R 6.5, a tough and stiff double-network gel (DN) is formed. Both the PEC and DN gels exhibit high toughness and fracture stress, up to 1.8 and 1.5 MPa, respectively. Importantly, the PEC gels exhibit strong recovery properties along with high toughness, distinguishing them from DN gels. Without requiring a change in chemistry, we can tune the mechanical response of hydrogels over a wide spectrum, making this a useful system of soft and hydrated biomaterials.
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- 2020
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38. External validation based on transfer learning for diagnosing atelectasis using portable chest X-rays
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Xiaxuan Huang, Baige Li, Tao Huang, Shiqi Yuan, Wentao Wu, Haiyan Yin, and Jun Lyu
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General Medicine - Abstract
BackgroundAlthough there has been a large amount of research focusing on medical image classification, few studies have focused specifically on the portable chest X-ray. To determine the feasibility of transfer learning method for detecting atelectasis with portable chest X-ray and its application to external validation, based on the analysis of a large dataset.MethodsFrom the intensive care chest X-ray medical information market (MIMIC-CXR) database, 14 categories were obtained using natural language processing tags, among which 45,808 frontal chest radiographs were labeled as “atelectasis,” and 75,455 chest radiographs labeled “no finding.” A total of 60,000 images were extracted, including positive images labeled “atelectasis” and positive X-ray images labeled “no finding.” The data were categorized into “normal” and “atelectasis,” which were evenly distributed and randomly divided into three cohorts (training, validation, and testing) at a ratio of about 8:1:1. This retrospective study extracted 300 X-ray images labeled “atelectasis” and “normal” from patients in ICUs of The First Affiliated Hospital of Jinan University, which was labeled as an external dataset for verification in this experiment. Data set performance was evaluated using the area under the receiver operating characteristic curve (AUC), sensitivity, specificity, and positive predictive values derived from transfer learning training.ResultsIt took 105 min and 6 s to train the internal training set. The AUC, sensitivity, specificity, and accuracy were 88.57, 75.10, 88.30, and 81.70%. Compared with the external validation set, the obtained AUC, sensitivity, specificity, and accuracy were 98.39, 70.70, 100, and 86.90%.ConclusionThis study found that when detecting atelectasis, the model obtained by transfer training with sufficiently large data sets has excellent external verification and acculturate localization of lesions.
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- 2022
39. The stability of contact discontinuity for the planar thermally radiative magnetohydrodynamics with free boundary
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Haibo Cui and Haiyan Yin
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Applied Mathematics ,General Mathematics ,General Physics and Astronomy - Published
- 2022
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40. Thiamine May Be Beneficial for Patients With Ventilator-Associated Pneumonia in the Intensive Care Unit: A Retrospective Study Based on the MIMIC-IV Database
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Luming Zhang, Shaojin Li, Xuehao Lu, Yu Liu, Yinlong Ren, Tao Huang, Jun Lyu, and Haiyan Yin
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Pharmacology ,Pharmacology (medical) - Abstract
Background: Ventilator-associated pneumonia (VAP) is a common infection complication in intensive care units (ICU). It not only prolongs mechanical ventilation and ICU and hospital stays, but also increases medical costs and increases the mortality risk of patients. Although many studies have found that thiamine supplementation in critically ill patients may improve prognoses, there is still no research or evidence that thiamine supplementation is beneficial for patients with VAP. The purpose of this study was to determine the association between thiamine and the prognoses of patients with VAP.Methods: This study retrospectively collected all patients with VAP in the ICU from the Medical Information Mart for Intensive Care-IV database. The outcomes were ICU and in-hospital mortality. Patients were divided into the no-thiamine and thiamine groups depending upon whether or not they had received supplementation. Associations between thiamine and the outcomes were tested using Kaplan-Meier (KM) survival curves and Cox proportional-hazards regression models. The statistical methods of propensity-score matching (PSM) and inverse probability weighting (IPW) based on the XGBoost model were also applied to ensure the robustness of our findings.Results: The study finally included 1,654 patients with VAP, comprising 1,151 and 503 in the no-thiamine and thiamine groups, respectively. The KM survival curves indicated that the survival probability differed significantly between the two groups. After multivariate COX regression adjusted for confounding factors, the hazard ratio (95% confidence interval) values for ICU and in-hospital mortality in the thiamine group were 0.57 (0.37, 0.88) and 0.64 (0.45, 0.92), respectively. Moreover, the results of the PSM and IPW analyses were consistent with the original population.Conclusion: Thiamine supplementation may reduce ICU and in-hospital mortality in patients with VAP in the ICU. Thiamine is an inexpensive and safe drug, and so further clinical trials should be conducted to provide more-solid evidence on whether it improves the prognosis of patients with VAP.
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- 2022
41. Three‐Dimensional Porous Carbon Materials from Coix lacryma‐jobi L . Shells for High‐Performance Supercapacitor
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Lian Liu, Hong Zheng, Wenjie Wu, Yurun Zhang, Qin Wang, Liu Yang, Haiyan Yin, Wei Lu, Shuya Wang, and Xian Yang
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General Chemistry - Published
- 2022
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42. Glymphatic System Dysfunction: A Novel Mediator of Sleep Disorders and Headaches
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Ting Yi, Ping Gao, Tianmin Zhu, Haiyan Yin, and Shuoguo Jin
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Neurology ,Neurology (clinical) - Abstract
Sleep contributes to the maintenance of overall health and well-being. There are a growing number of patients who have headache disorders that are significantly affected by poor sleep. This is a paradoxical relationship, whereby sleep deprivation or excess sleep leads to a worsening of headaches, yet sleep onset also alleviates ongoing headache pain. Currently, the mechanism of action remains controversial and poorly understood. The glymphatic system is a newly discovered perivascular network that encompasses the whole brain and is responsible for removing toxic proteins and waste metabolites from the brain as well as replenishing nutrition and energy. Recent studies have suggested that glymphatic dysfunction is a common underlying etiology of sleep disorders and headache pain. This study reviews the current literature on the relationship between the glymphatic system, sleep, and headaches, discusses their roles, and proposes acupuncture as a non-invasive way to focus on the glymphatic function to improve sleep quality and alleviate headache pain.
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- 2022
43. Effect of First Trough Vancomycin Concentration on the Occurrence of AKI in Critically Ill Patients: A Retrospective Study of the MIMIC-IV Database
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Longzhu Li, Luming Zhang, Shaojin Li, Fengshuo Xu, Li Li, Shuna Li, Jun Lyu, and Haiyan Yin
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General Medicine - Abstract
BackgroundVancomycin can effectively inhibit Gram-positive cocci and is widely used in critically ill patients. This study utilized a large public database to explore the effect of patients' first vancomycin trough concentration (FVTC) on the occurrence of acute kidney injury (AKI) and mortality after receiving vancomycin treatment in intensive care unit (ICU).MethodsCritically ill patients who used vancomycin in the Medical Information Mart for Intensive Care (MIMIC) IV have been retrospectively studied. The outcomes included the occurrence of AKI during the use of vancomycin or within 72 h of withdrawal, ICU mortality and hospital mortality. Restricted cubic splines (RCS) were used to analyze the linear relationship between FVTC and the outcomes. Multivariate logistic/Cox regression analysis was used to analyze the association between patient's FVTC and the occurrence of AKI, ICU mortality, and in-hospital mortality.ResultsThe study ultimately included 3,917 patients from the MIMIC-IV database who had been treated with vancomycin for more than 48 h. First of all, the RCS proved the linear relationship between FVTC and the outcomes. After controlling for all covariates as confounders in logistic/Cox regression, FVTC was a risk factor with the occurrence of AKI (OR: 1.02; 95% CI: 1.01–1.04), ICU mortality (HR: 1.02; 95% CI: 1.01–1.03), and in-hospital mortality (HR: 1.02; 95% CI: 1.01–1.03). Moreover, patients were divided into four groups in the light of the FVTC value: group1 ≤ 10 mg/L, 10 20 mg/L. Categorical variables indicated that group 3 and group 4 had a significant relationship on the occurrence of AKI [group 3: (OR: 1.36; 95% CI: 1.02–1.81); group 4: (OR: 1.76; 95% CI: 1.32–2.35)] and ICU mortality [group 3: (HR: 1.47; 95% CI: 1.03–2.09); group 4: (HR: 1.87; 95% CI: 1.33–2.62)], compared to group 1, while group 4 had a significant effect on in-hospital mortality (HR: 1.48; 95% CI: 1.15–1.91).ConclusionsFVTC is associated with the occurrence of AKI and increased ICU and in-hospital mortality in critically ill patients. Therefore, in clinical practice, patients in intensive care settings receiving vancomycin should be closely monitored for FVTC to prevent drug-related nephrotoxicity and reduce patient mortality.
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- 2022
44. Prediction of prognosis in elderly patients with sepsis based on machine learning (random survival forest)
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Luming Zhang, Tao Huang, Fengshuo Xu, Shaojin Li, Shuai Zheng, Jun Lyu, and Haiyan Yin
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Critical Care ,RC86-88.9 ,Random survival forest ,RC952-1245 ,Medical emergencies. Critical care. Intensive care. First aid ,Prognosis ,Machine Learning ,Elderly ,Special situations and conditions ,Sepsis ,Emergency Medicine ,Humans ,Aged ,Retrospective Studies - Abstract
Background Elderly patients with sepsis have many comorbidities, and the clinical reaction is not obvious. Thus, clinical treatment is difficult. We planned to use the laboratory test results and comorbidities of elderly patients with sepsis from a large-scale public database Medical Information Mart for Intensive Care (MIMIC) IV to build a random survival forest (RSF) model and to evaluate the model’s predictive value for these patients. Methods Clinical information of elderly patients with sepsis in MIMIC IV database was collected retrospectively. Machine learning (RSF) was used to select the top 30 variables in the training cohort to build the final RSF model. The model was compared with the traditional scoring systems SOFA, SAPSII, and APSIII. The performance of the model was evaluated by C index and calibration curve. Results A total of 6,503 patients were enrolled in the study. The top 30 important variables screened by RSF were used to construct the final RSF model. The new model provided a better C-index (0.731 in the validation cohort). The calibration curve described the agreement between the predicted probability of RSF model and the observed 30-day survival. Conclusions We constructed a prognostic model to predict a 30-day mortality risk in elderly patients with sepsis based on machine learning (RSF algorithm), and it proved superior to the traditional scoring systems. The risk factors affecting the patients were also ranked. In addition to the common risk factors of vasopressors, ventilator use, and urine output. Newly added factors such as RDW, type of ICU unit, malignant cancer, and metastatic solid tumor also significantly influence prognosis.
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- 2022
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45. The Association Between Bronchoscopy and the Prognoses of Patients With Ventilator-Associated Pneumonia in Intensive Care Units: A Retrospective Study Based on the MIMIC-IV Database
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Luming Zhang, Shaojin Li, Shiqi Yuan, Xuehao Lu, Jieyao Li, Yu Liu, Tao Huang, Jun Lyu, and Haiyan Yin
- Subjects
Pharmacology ,Pharmacology (medical) - Abstract
Background: In intensive care units (ICUs), the morbidity and mortality of ventilator-associated pneumonia (VAP) are relatively high, and this condition also increases medical expenses for mechanically ventilated patients, which will seriously affect the prognoses of critically ill patients. The purpose of this study was to determine the impact of bronchoscopy on the prognosis of patients with VAP undergoing invasive mechanical ventilation (IMV).Methods: This was a retrospective study based on patients with VAP from the Medical Information Mart for Intensive Care IV database. The outcomes were ICU and in-hospital mortality. Patients were divided based on whether or not they had undergone bronchoscopy during IMV. Kaplan-Meier (KM) survival curves and Cox proportional-hazards regression models were used to analyze the association between groups and outcomes. Propensity score matching (PSM) and propensity score based inverse probability of treatment weighting (IPTW) were used to further verify the stability of the results. The effect of bronchoscopy on prognosis was further analyzed by causal mediation analysis (CMA).Results: This study enrolled 1,560 patients with VAP: 1,355 in the no-bronchoscopy group and 205 in the bronchoscopy group. The KM survival curve indicated a significant difference in survival probability between the two groups. The survival probabilities in both the ICU and hospital were significantly higher in the bronchoscopy group than in the no bronchoscopy group. After adjusting all covariates as confounding factors in the Cox model, the HRs (95% CI) for ICU and in-hospital mortality in the bronchoscopy group were 0.33 (0.20–0.55) and 0.40 (0.26–0.60), respectively, indicating that the risks of ICU and in-hospital mortality were 0.67 and 0.60 lower than in the no-bronchoscopy group. The same trend was obtained after using PSM and IPTW. CMA showed that delta-red blood cell distribution width (RDW) mediated 8 and 7% of the beneficial effects of bronchoscopy in ICU mortality and in-hospital mortality.Conclusion: Bronchoscopy during IMV was associated with reducing the risk of ICU and in-hospital mortality in patients with VAP in ICUs, and this beneficial effect was partially mediated by changes in RDW levels.
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- 2022
46. Developed compositional source profile and estimated emissions of condensable particulate matter from coal-fired power plants: A case study of Yantai, China
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Huanhuan Tong, Yangjun Wang, Shikang Tao, Ling Huang, Sen Jiang, Jinting Bian, Nan Chen, Manomaiphiboon Kasemsan, Haiyan Yin, Cheng Huang, Hui Chen, Kun Zhang, and Li Li
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Environmental Engineering ,Environmental Chemistry ,Pollution ,Waste Management and Disposal - Published
- 2023
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47. Bone mesenchymal stem cell-derived extracellular vesicles inhibit DAPK1-mediated inflammation by delivering miR-191 to macrophages
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Hui Liu, Luming Zhang, Meilian Li, Fengzhi Zhao, Fan Lu, Feng Zhang, Sida Chen, Juntao Guo, Rui Zhang, and Haiyan Yin
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Inflammation ,Lipopolysaccharides ,THP-1 Cells ,Biophysics ,Mesenchymal Stem Cells ,Cell Biology ,Macrophage Activation ,Biochemistry ,Death-Associated Protein Kinases ,Extracellular Vesicles ,MicroRNAs ,Gene Expression Regulation ,Culture Media, Conditioned ,Humans ,Promoter Regions, Genetic ,Molecular Biology ,3' Untranslated Regions - Abstract
Alveolar macrophage activation and apoptosis are vital contributors to sepsis-associated acute lung injury (ALI). However, the mechanisms of alveolar macrophage activation are yet to be clarified. Death-associated protein kinase 1 (DAPK1) is one of the potential candidates that play crucial roles in regulating alveolar macrophage inflammation. Herein, we found that primary human bone mesenchymal stem cell (BMSC)-derived extracellular vesicles (EVs) antagonize LPS-induced inflammation in the THP-1 human macrophage-like cell line. Mechanistically, LPS stimulation elevates the expression of DAPK1 and the inflammation markers in THP-1 cells, while BMSC-derived EVs inhibit the expression of DAPK1 and inflammation through delivering miR-191, which can target the 3'-UTR of the DAPK1 mRNA and therefore suppress its translation. The importance of DAPK1 in the activation of THP-1 is also stressed in this study. Our findings provide evidence that BMSC-derived EVs regulate the alveolar macrophage inflammation and highlight BMSC-derived EVs as a potential vehicle to deliver biomacromolecules to macrophages.
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- 2022
48. Construction and practice of a comprehensive nursing skills course with simulation in an RN-BSN program in China: a quasi-experimental study
- Author
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Yuanyuan Zhu, Aihong Wang, Yamei Bai, Min Xu, Haiyan Yin, and Qinyi Gao
- Subjects
China ,LC8-6691 ,Research ,education ,Comprehensive nursing skills ,Education, Nursing, Baccalaureate ,Problem-Based Learning ,General Medicine ,Special aspects of education ,RN-BSN program ,Education ,Medicine ,Educational Status ,Humans ,Students, Nursing ,Nursing education ,Simulation - Abstract
Background Simulation has been widely used in the teaching of pre-licensed nursing students and has shown positive results. However, there is limited evidence regarding the application of a comprehensive nursing course with simulation for Associated Degree in Nursing (ADN)-prepared nurses with different work experience times. Therefore, this study aimed to evaluate the satisfaction, self-confidence, and perceptions of scenario simulation among Chinese nurses in a comprehensive nursing skills course in an RN-BSN program. Methods A single-group post-test approach was used in the current study. Participants that completed a comprehensive nursing skills course with simulation in an RN-BSN program were enrolled. Results The mean satisfaction, self-confidence, educational practice, and simulation designs scores were rated highly. Self-confidence (p = 0.002), active learning (p = 0.020), collaboration (p = 0.030), support (p = 0.008), and problem-solving (p = 0.007) were significantly higher among students with more work experience compared to those with less experience. Then, four themes were analyzed: enthusiasm for learning, ability to experience different feelings during role-play, hybrid teaching format, and simulation fidelity. Conclusions Results demonstrated that a comprehensive nursing skills course with simulation might improve Chinese ADN-prepared nurses’ satisfaction and self-confidence in learning. Nurses with work experience gave a high rate to the scenario simulation, demonstrating that simulation can be widely applicable for students with different characteristics. Finally, the teaching strategy in the present study can be applied to more RN-BSN programs.
- Published
- 2022
- Full Text
- View/download PDF
49. Developed Compositional Source Profile and Estimated Emissions of Condensable Particulate Matter from Coal-Fired Power Plants: A Case Study of Yantai, China
- Author
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Huanhuan Tong, Yangjun Wang, Shikang Tao, Sen Jiang, Jinting Bian, Manomaiphiboon Kasemsan, Haiyan Yin, Cheng Huang, Ling Huang, Hui Chen, Kun Zhang, and Li Li
- Subjects
History ,Polymers and Plastics ,Business and International Management ,Industrial and Manufacturing Engineering - Published
- 2022
- Full Text
- View/download PDF
50. Learning to Selectively Learn for Weakly Supervised Paraphrase Generation with Model-based Reinforcement Learning
- Author
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Haiyan Yin, Dingcheng Li, and Ping Li
- Published
- 2022
- Full Text
- View/download PDF
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