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  1. Article ; Online: An Empirical Model of Medicare Costs

    Yuanyuan Deng / Hugo Benítez-Silva

    Econometrics, Vol 9, Iss 25, p

    The Role of Health Insurance, Employment, and Delays in Medicare Enrollment

    2021  Volume 25

    Abstract: Medicare is one of the largest federal social insurance programs in the United States and the secondary payer for Medicare beneficiaries covered by employer-provided health insurance (EPHI). However, an increasing number of individuals are delaying their ...

    Abstract Medicare is one of the largest federal social insurance programs in the United States and the secondary payer for Medicare beneficiaries covered by employer-provided health insurance (EPHI). However, an increasing number of individuals are delaying their Medicare enrollment when they first become eligible at age 65. Using administrative data from the Medicare Current Beneficiary Survey (MCBS), this paper estimates the effects of EPHI, employment, and delays in Medicare enrollment on Medicare costs. Given the administrative nature of the data, we are able to disentangle and estimate the Medicare as secondary payer (MSP) effect and the work effects on Medicare costs, as well as to construct delay enrollment indicators. Using Heckman’s sample selection model, we estimate that MSP and being employed are associated with a lower probability of observing positive Medicare spending and a lower level of Medicare spending. This paper quantifies annual savings of $5.37 billion from MSP and being employed. Delays in Medicare enrollment generate additional annual savings of $10.17 billion. Owing to the links between employment, health insurance coverage, and Medicare costs presented in this research, our findings may be of interest to policy makers who should take into account the consequences of reforms on the Medicare system.
    Keywords Medicare cost ; Medicare as secondary payer ; employer-provided health insurance ; delays in Medicare enrollment ; Heckman’s sample selection model ; Economics as a science ; HB71-74
    Subject code 336
    Language English
    Publishing date 2021-06-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Development and validation of a nomogram to predict spontaneous preterm birth in singleton gestation with short cervix and no history of spontaneous preterm birth

    Yongkang Sun / Feng Lian / Yuanyuan Deng / Sha Liao / Ying Wang

    Heliyon, Vol 9, Iss 10, Pp e20453- (2023)

    2023  

    Abstract: Background: Spontaneous preterm birth (sPTB) stands as a leading cause of neonatal mortality. Consequently, preventing sPTB has emerged as a paramount concern in healthcare. Therefore, our study aimed to develop a nomogram, encompassing patient ... ...

    Abstract Background: Spontaneous preterm birth (sPTB) stands as a leading cause of neonatal mortality. Consequently, preventing sPTB has emerged as a paramount concern in healthcare. Therefore, our study aimed to develop a nomogram, encompassing patient characteristics and cervical elastography, to predict sPTB in singleton pregnancies. Specifically, we targeted those with a short cervix length (CL), no history of sPTB, and who were receiving vaginal progesterone therapy. Methods: A total of 568 patients were included in this study. Data from 392 patients, collected between January 2016 and October 2019, constituted the training cohort. Meanwhile, records from 176 patients, spanning November 2019 to January 2022, formed the validation cohort. Following the univariate logistic regression analysis, variables exhibiting a P-value less than 0.05 were integrated into a multivariable logistic regression analysis. The primary objective of this subsequent analysis was to identify the independent predictors linked to sPTB in the training cohort. Next, we formulated a nomogram utilizing the identified independent predictors. This tool was designed to estimate the likelihood of sPTB in singleton pregnancies, particularly those with a short CL, devoid of any sPTB history, and undergoing vaginal progesterone therapy. The C-index, Hosmer-Lemeshow (HL) test, calibration curves, decision curve analysis (DCA), and receiver operating characteristic (ROC) were used to validate the performance of the nomogram. Results: Upon finalizing the univariate analysis, we progressed to a multivariable analysis, integrating 8 variables with P < 0.05 from the univariate analysis. The multivariable analysis identified 7 independent risk factors: maternal age (OR = 1.072; P < 0.001), cervical length (OR = 0.854; P < 0.001), uterine curettage (OR = 7.208; P < 0.001), GDM (OR = 3.570; P = 0.006), HDP (OR = 4.661; P = 0.003), C-reactive protein (OR = 1.138; P < 0.001), and strain of AI (OR = 7.985; P < 0.001). The nomogram, tailored for ...
    Keywords Spontaneous preterm birth ; Singleton gestation ; Short cervix ; Nomogram ; Science (General) ; Q1-390 ; Social sciences (General) ; H1-99
    Subject code 610
    Language English
    Publishing date 2023-10-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: A Liver Segmentation Method Based on the Fusion of VNet and WGAN

    Jinlin Ma / Yuanyuan Deng / Ziping Ma / Kaiji Mao / Yong Chen

    Computational and Mathematical Methods in Medicine, Vol

    2021  Volume 2021

    Abstract: Accurate segmentation of liver images is an essential step in liver disease diagnosis, treatment planning, and prognosis. In recent years, although liver segmentation methods based on 2D convolutional neural networks have achieved good results, there is ... ...

    Abstract Accurate segmentation of liver images is an essential step in liver disease diagnosis, treatment planning, and prognosis. In recent years, although liver segmentation methods based on 2D convolutional neural networks have achieved good results, there is still a lack of interlayer information that causes severe loss of segmentation accuracy to a certain extent. Meanwhile, making the best of high-level and low-level features more effectively in a 2D segmentation network is a challenging problem. Therefore, we designed and implemented a 2.5-dimensional convolutional neural network, VNet_WGAN, to improve the accuracy of liver segmentation. First, we chose three adjacent layers of a liver model as the input of our network and adopted two convolution kernels in series connection, which can integrate cross-sectional spatial information and interlayer information of liver models. Second, a chain residual pooling module is added to fuse multilevel feature information to optimize the skip connection. Finally, the boundary loss function in the generator is employed to compensate for the lack of marginal pixel accuracy in the Dice loss function. The effectiveness of the proposed method is verified on two datasets, LiTS and CHAOS. The Dice coefficients are 92% and 90%, respectively, which are better than those of the compared segmentation networks. In addition, the experimental results also show that the proposed method can reduce computational consumption while retaining higher segmentation accuracy, which is significant for liver segmentation in practice and provides a favorable reference for clinicians in liver segmentation.
    Keywords Computer applications to medicine. Medical informatics ; R858-859.7
    Subject code 006
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher Hindawi Limited
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Gender differences in the prevalence and impact factors of adolescent dissociative symptoms during the coronavirus disease 2019 pandemic

    Qinglin Cheng / Gang Zhao / Junfang Chen / Yuanyuan Deng / Li Xie / Le Wang

    Scientific Reports, Vol 12, Iss 1, Pp 1-

    2022  Volume 13

    Abstract: Abstract The purpose of this study was to explore the differences between the prevalence and impact factors of adolescent dissociative symptoms (ADSs) by using sex-stratification during the coronavirus disease 2019 (COVID-19) pandemic. A school-based, ... ...

    Abstract Abstract The purpose of this study was to explore the differences between the prevalence and impact factors of adolescent dissociative symptoms (ADSs) by using sex-stratification during the coronavirus disease 2019 (COVID-19) pandemic. A school-based, two-center cross-sectional study was conducted in Hangzhou City, China, between January 1, 2021 and April 30, 2022. The sample included 1,916 adolescents aged 13–18 years that were randomly selected using a multiphase, stratified, cluster sampling technique. A two-stage assessment procedure was used to find out the ADSs. We used a multivariate logistic regression analysis to assess the impact factors of ADSs during the COVID-19 pandemic. The adolescent dissociative scores (t = 4.88, P < 0.001) and positive ADSs rate (Chi-square = 15.76, P < 0.001) in males were higher than in females. Gender-stratified, stepwise multiple logistic regression analysis revealed that the conflict relationship of teacher-student [adjusted odds ratio (AOR) 1.06, 95% confidence interval (CI) 1.01–1.10], family expressiveness (AOR 0.87, 95% CI 0.78–0.98), family conflict (AOR 1.15, 95% CI 1.05–1.27), family organization (AOR 0.88, 95% CI 0.78–0.99), and family cohesion (AOR 0.87, 95% CI 0.77–0.99) were linked to ADSs only in males, while individual psychological states of somatic complaint (AOR 1.04, 95% CI 1.00–1.08) and paranoid ideation (AOR 1.09, 95% CI 1.01–1.19) were associated with female ADSs only. The ADSs seemed to be prevalent in Hangzhou City, studied during the COVID-19 pandemic. Gender differences in the prevalence and impact factors of dissociative symptoms seem to be significant among adolescents. Thus, gender-specific intervention programs against ADSs should be considered as reducing this risk.
    Keywords Medicine ; R ; Science ; Q
    Subject code 310
    Language English
    Publishing date 2022-11-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Application of Invasive Plants as Biochar Precursors in the Field of Environment and Energy Storage

    Lei Yang / Yuanyuan Deng / Zihan Shu / Qiang Chen / Hailan Yang / Xiaofei Tan

    Frontiers in Environmental Science, Vol

    2022  Volume 10

    Abstract: Plant invasion caused due to various human activities has become a serious problem affecting ecosystem diversity and imposes a burden on the economy. In recent years, there have been increasing studies on the application of biochar (BC) in the field of ... ...

    Abstract Plant invasion caused due to various human activities has become a serious problem affecting ecosystem diversity and imposes a burden on the economy. In recent years, there have been increasing studies on the application of biochar (BC) in the field of environmental protection. Invasive plants, which are considered as a kind of hazardous waste biomass, can be used as feedstocks to prepare BC. Consumption of invasive plants for BC preparation can achieve a win-win situation in ecology and resources. This can solve a series of ecological problems caused by invasive plants to a certain extent while also realizing the resource utilization of wastes and bringing considerable economic benefits. Based on previous studies, this paper summarizes the progress of preparing and using invasive plant biochar (IPB). This includes the production, modification, merit and demerit of IPB, its application in improving soil quality, the adsorption of pollutants, application in energy storage, and climate change mitigation potential. It provides a basis for further study of IPB based on the currently existing problems and proposes a direction for future development.
    Keywords biochar ; invasive plants ; resource utilization ; environmental remediation ; energy storage ; Environmental sciences ; GE1-350
    Subject code 580
    Language English
    Publishing date 2022-05-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Placental Mesenchymal Stem Cells Alleviate Podocyte Injury in Diabetic Kidney Disease by Modulating Mitophagy via the SIRT1-PGC-1alpha-TFAM Pathway

    Xiudan Han / Jiao Wang / Ruilin Li / Meiling Huang / Guanru Yue / Lulu Guan / Yuanyuan Deng / Wei Cai / Jixiong Xu

    International Journal of Molecular Sciences, Vol 24, Iss 4696, p

    2023  Volume 4696

    Abstract: The use of mesenchymal stem cells (MSCs) has become a new strategy for treating diabetic kidney disease (DKD). However, the role of placenta derived mesenchymal stem cells (P-MSCs) in DKD remains unclear. This study aims to investigate the therapeutic ... ...

    Abstract The use of mesenchymal stem cells (MSCs) has become a new strategy for treating diabetic kidney disease (DKD). However, the role of placenta derived mesenchymal stem cells (P-MSCs) in DKD remains unclear. This study aims to investigate the therapeutic application and molecular mechanism of P-MSCs on DKD from the perspective of podocyte injury and PINK1/Parkin-mediated mitophagy at the animal, cellular, and molecular levels. Western blotting, reverse transcription polymerase chain reaction, immunofluorescence, and immunohistochemistry were used to detect the expression of podocyte injury-related markers and mitophagy-related markers, SIRT1, PGC-1α, and TFAM. Knockdown, overexpression, and rescue experiments were performed to verify the underlying mechanism of P-MSCs in DKD. Mitochondrial function was detected by flow cytometry. The structure of autophagosomes and mitochondria were observed by electron microscopy. Furthermore, we constructed a streptozotocin-induced DKD rat model and injected P-MSCs into DKD rats. Results showed that as compared with the control group, exposing podocytes to high-glucose conditions aggravated podocyte injury, represented by a decreased expression of Podocin along with increased expression of Desmin, and inhibited PINK1/Parkin-mediated mitophagy, manifested as a decreased expression of Beclin1, the LC3II/LC3I ratio, Parkin, and PINK1 associated with an increased expression of P62. Importantly, these indicators were reversed by P-MSCs. In addition, P-MSCs protected the structure and function of autophagosomes and mitochondria. P-MSCs increased mitochondrial membrane potential and ATP content and decreased the accumulation of reactive oxygen species. Mechanistically, P-MSCs alleviated podocyte injury and mitophagy inhibition by enhancing the expression of the SIRT1-PGC-1α-TFAM pathway. Finally, we injected P-MSCs into streptozotocin-induced DKD rats. The results revealed that the application of P-MSCs largely reversed the markers related to podocyte injury and mitophagy and ...
    Keywords diabetic kidney disease ; placenta derived mesenchymal stem cells ; podocyte injury ; mitophagy ; SIRT1-PGC-1α-TFAM pathway ; Biology (General) ; QH301-705.5 ; Chemistry ; QD1-999
    Subject code 570
    Language English
    Publishing date 2023-02-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Correlation between gut microbiota and the development of Graves’ disease

    Yuanyuan Deng / Jiao Wang / Guijiao Xie / Guilin Zou / Shanshan Li / Jie Zhang / Wei Cai / Jixiong Xu

    iScience, Vol 26, Iss 7, Pp 107188- (2023)

    A prospective study

    2023  

    Abstract: Summary: The association between gut microbiota and development of Graves’ disease (GD) remains unclear. This study aimed to profile the gut microbiota of 65 patients newly diagnosed with GD before and after treatment and 33 physical examination ... ...

    Abstract Summary: The association between gut microbiota and development of Graves’ disease (GD) remains unclear. This study aimed to profile the gut microbiota of 65 patients newly diagnosed with GD before and after treatment and 33 physical examination personnel via 16S rRNA sequencing. Significant differences in the gut microbiota composition were observed between the two groups, showing relative bacterial abundances of 1 class, 1 order, 5 families, and 14 genera. After treatment, the abundance of the significantly enriched biota in the GD group decreased considerably, whereas that of the previously decreased biota increased considerably. Further, interleukin-17 levels decreased significantly. The random forest method was used to identify 12 genera that can distinguish patients with GD from healthy controls. Our study revealed that the gut microbiota of patients with GD exhibit unique characteristics compared with that of healthy individuals, which may be related to an imbalance in the immune system and gut microbiota.
    Keywords Human metabolism ; Microbial physiology ; Microbiome ; Pathology ; Science ; Q
    Subject code 610
    Language English
    Publishing date 2023-07-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: An Update on Isolation Methods for Proteomic Studies of Extracellular Vesicles in Biofluids

    Jing Li / Xianqing He / Yuanyuan Deng / Chenxi Yang

    Molecules, Vol 24, Iss 19, p

    2019  Volume 3516

    Abstract: Extracellular vesicles (EVs) are lipid bilayer enclosed particles which present in almost all types of biofluids and contain specific proteins, lipids, and RNA. Increasing evidence has demonstrated the tremendous clinical potential of EVs as diagnostic ... ...

    Abstract Extracellular vesicles (EVs) are lipid bilayer enclosed particles which present in almost all types of biofluids and contain specific proteins, lipids, and RNA. Increasing evidence has demonstrated the tremendous clinical potential of EVs as diagnostic and therapeutic tools, especially in biofluids, since they can be detected without invasive surgery. With the advanced mass spectrometry (MS), it is possible to decipher the protein content of EVs under different physiological and pathological conditions. Therefore, MS-based EV proteomic studies have grown rapidly in the past decade for biomarker discovery. This review focuses on the studies that isolate EVs from different biofluids and contain MS-based proteomic analysis. Literature published in the past decade (2009.1−2019.7) were selected and summarized with emphasis on isolation methods of EVs and MS analysis strategies, with the aim to give an overview of MS-based EV proteomic studies and provide a reference for future research.
    Keywords extracellular vesicles ; isolation methods ; biofluid ; proteomics ; mass spectrometry ; Organic chemistry ; QD241-441
    Language English
    Publishing date 2019-09-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Perceived Risk, Expected Benefits and Pig Farmers’ Behaviors of Veterinary Drug Usage

    Jianhua Wang / Yuanyuan Deng / Hanyu Diao

    International Journal of Environmental Research and Public Health, Vol 15, Iss 8, p

    2018  Volume 1716

    Abstract: To guarantee the pork quality and safety and the steady development of the pig-breeding industry in China, it is important to control veterinary drugs usage in the pig farming sector. In order to develop an effective intervention that control veterinary ... ...

    Abstract To guarantee the pork quality and safety and the steady development of the pig-breeding industry in China, it is important to control veterinary drugs usage in the pig farming sector. In order to develop an effective intervention that control veterinary drug usage, it is important to perform an in-depth analysis of those factors that can affect the standardized use of veterinary drugs in the pig-breeding process. In this paper, hierarchical regression analysis is used to examine how perceived risk, expected benefits, and self-efficacy influence on the standardized use of veterinary drugs. Data were collected using a multi-stage sampling method from four provinces in China. The results show that expected benefit and self-efficacy have positive impacts on the standardized use of veterinary drugs. Self-efficacy significantly moderated the positive relationships between expected benefits and the negative relationships between perceived risk and standardized use of veterinary drugs.
    Keywords perceived risk ; expected benefits ; pig farmers’ behaviors of veterinary drug usage ; self-efficacy ; Medicine ; R
    Language English
    Publishing date 2018-08-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Market Returns, External Pressure, and Safe Pesticide Practice—Moderation Role of Information Acquisition

    Jianhua Wang / Yuanyuan Deng / Hanyu Diao

    International Journal of Environmental Research and Public Health, Vol 15, Iss 9, p

    2018  Volume 1829

    Abstract: The main objective of this study is to examine how market returns and external pressure influence farmers’ standardized pesticide application and to investigate the moderating role of information acquisition. Data were collected from 986 farmers ... ...

    Abstract The main objective of this study is to examine how market returns and external pressure influence farmers’ standardized pesticide application and to investigate the moderating role of information acquisition. Data were collected from 986 farmers following a multi-stage sampling method from five major agricultural provinces in China. A hierarchical regression analysis was performed to test the hypothesis. The results show that market returns and information acquisition of pesticide application had a significant and positive influence on standardized pesticide application. Also, interaction effects were found between acquisition of policy information and market returns, and also between acquisition of pesticide application information and external pressure. The policy implication is that the improvement of market returns of safe agricultural products is a potential way to improve farmers’ pesticide usage behaviors. Policy information and pesticide application information should be widely provided to farmers in order to facilitate the transition to standardized pesticide application.
    Keywords farmers’ behavior ; pesticide use ; information ; hierarchical regression analysis ; Medicine ; R
    Subject code 028
    Language English
    Publishing date 2018-08-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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