LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 3341

Search options

  1. Article: Correlations of sST2 and Gal-3 with Cardiothoracic Ratio in Patients with Chronic Kidney Disease.

    Chen, Ying-Ju / Chou, Che-Yi / Er, Tze-Kiong

    Biomedicines

    2024  Volume 12, Issue 4

    Abstract: Chronic kidney disease (CKD) frequently correlates with cardiovascular complications. Soluble suppression of tumorigenicity 2 (sST2) and Galectin-3 (Gal-3) are emerging as cardiac markers with potential relevance in cardiovascular risk prediction. The ... ...

    Abstract Chronic kidney disease (CKD) frequently correlates with cardiovascular complications. Soluble suppression of tumorigenicity 2 (sST2) and Galectin-3 (Gal-3) are emerging as cardiac markers with potential relevance in cardiovascular risk prediction. The cardiothoracic ratio (CTR), a metric easily obtainable from chest radiographs, has traditionally been used to assess cardiac size and the potential for cardiomegaly. Understanding the correlation between these cardiac markers and the cardiothoracic ratio (CTR) could provide valuable insights into the cardiovascular prognosis of CKD patients. This study aimed to explore the relationship between sST2, Gal-3, and the CTR in individuals with CKD. Plasma concentrations of sST2 and Gal-3 were assessed in a cohort of 123 CKD patients by enzyme-linked immunosorbent assay (ELISA). On a posterior-to-anterior chest X-ray view, the CTR was determined by comparing the widths of the heart to that of the thorax. The mean concentration of sST2 in the study participants ranged from 775.4 to 4475.6 pg/mL, and the mean concentration of Gal-3 ranged from 4.7 to 9796.0 ng/mL. Significant positive correlations were observed between sST2 and the CTR (r = 0.291,
    Language English
    Publishing date 2024-04-03
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2720867-9
    ISSN 2227-9059
    ISSN 2227-9059
    DOI 10.3390/biomedicines12040791
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  2. Article: Distribution of Viral Respiratory Infections during the COVID-19 Pandemic Using the FilmArray Respiratory Panel.

    Chen, Ying-Ju / Er, Tze-Kiong

    Biomedicines

    2022  Volume 10, Issue 11

    Abstract: This study was conducted to evaluate the distribution of respiratory viral pathogens in the emergency department during the coronavirus disease 2019 (COVID-19) pandemic. Between May 2020 and September 2022, patients aged between 0.1 and 98 years arrived ... ...

    Abstract This study was conducted to evaluate the distribution of respiratory viral pathogens in the emergency department during the coronavirus disease 2019 (COVID-19) pandemic. Between May 2020 and September 2022, patients aged between 0.1 and 98 years arrived at the emergency department of Asia University Hospital, and samples from nasopharyngeal swabs were tested by the FilmArray
    Language English
    Publishing date 2022-10-28
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2720867-9
    ISSN 2227-9059
    ISSN 2227-9059
    DOI 10.3390/biomedicines10112734
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  3. Article ; Online: Cardiac markers and cardiovascular disease in chronic kidney disease.

    Chen, Ying-Ju / Chen, Chih-Chieh / Er, Tze-Kiong

    Advances in clinical chemistry

    2023  Volume 115, Page(s) 63–80

    Abstract: Cardiovascular disease (CVD) is prevalent in patients with chronic kidney disease (CKD) and it is responsible for approximately half of all CKD-related deaths. CVDs are the primary cause of death in hemodialysis patients due to major adverse ... ...

    Abstract Cardiovascular disease (CVD) is prevalent in patients with chronic kidney disease (CKD) and it is responsible for approximately half of all CKD-related deaths. CVDs are the primary cause of death in hemodialysis patients due to major adverse cardiovascular events. Therefore, better approaches for differentiating chronic hemodialysis patients at higher cardiovascular risk will help physicians improve clinical outcomes. Hence, there is an urgent need to discover feasible and reliable cardiac biomarkers to improve diagnostic accuracy, reflect myocardial injury, and identify high-risk patients. Numerous biomarkers that have significant prognostic value with respect to adverse CVD outcomes in the setting of mild to severe CKD have been identified. Therefore, a better understanding of the positive clinical impact of cardiac biomarkers on CVD patient outcomes is an important step toward prevention and improving treatment in the future. In this review, we address the relationship between cardiovascular biomarkers and CKD treatment strategies to elucidate the underlying importance of these biomarkers to patient outcomes.
    MeSH term(s) Humans ; Cardiovascular Diseases/diagnosis ; Renal Dialysis ; Renal Insufficiency, Chronic/complications
    Language English
    Publishing date 2023-05-08
    Publishing country United States
    Document type Review ; Journal Article
    ZDB-ID 210505-6
    ISSN 2162-9471 ; 0065-2423
    ISSN (online) 2162-9471
    ISSN 0065-2423
    DOI 10.1016/bs.acc.2023.03.001
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Ud II Zs.182: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  4. Article: Retrospective Study of Lower Respiratory Tract Infections in the Intensive Care Unit Detected by the FilmArray Pneumonia Panel.

    Chen, Si-Yu / Chen, Ying-Ju / Er, Tze-Kiong

    Clinical laboratory

    2023  Volume 69, Issue 7

    Abstract: Background: Lower respiratory tract infections (LRIs) are an important public health concern and a leading cause of death from infection worldwide. The current study aims to evaluate the distribution of viral and bacterial pathogens in lower respiratory ...

    Abstract Background: Lower respiratory tract infections (LRIs) are an important public health concern and a leading cause of death from infection worldwide. The current study aims to evaluate the distribution of viral and bacterial pathogens in lower respiratory tract specimens.
    Methods: Between April 2022 and December 2022, specimens from lower respiratory tract from patients aged between 37 and 85 years in an intensive care unit (ICU) of Asia University Hospital were analysed by the FilmArrayTM pneumonia panel (PP) assay.
    Results: There were 54 patients for whom the FilmArrayTM PP assay was analysed, and 25 (46.3%) of them showed positive results. Among the 54 specimens, 12 (22.2%, 12/54) had a single pathogen, 13 (24.1%, 13/54) had multiple pathogens, and 29 (53.7%, 29/54) had no pathogens. The overall positive rate of the specimens was 46.3% (25/54).
    Conclusions: The FilmArrayTM PP assay may act as a feasible diagnostic tool for LRIs in ICUs.
    MeSH term(s) Humans ; Adult ; Middle Aged ; Aged ; Aged, 80 and over ; Retrospective Studies ; Respiratory Tract Infections/diagnosis ; Respiratory Tract Infections/epidemiology ; Respiratory Tract Infections/microbiology ; Bacteria ; Intensive Care Units ; Pneumonia/diagnosis ; Pneumonia/microbiology
    Language English
    Publishing date 2023-07-10
    Publishing country Germany
    Document type Letter
    ZDB-ID 1307629-2
    ISSN 1433-6510 ; 0941-2131
    ISSN 1433-6510 ; 0941-2131
    DOI 10.7754/Clin.Lab.2023.230114
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Ud II Zs.170: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)
    Zs.MO 25: Show issues

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  5. Article ; Online: DPP: Deep predictor for price movement from candlestick charts.

    Hung, Chih-Chieh / Chen, Ying-Ju

    PloS one

    2021  Volume 16, Issue 6, Page(s) e0252404

    Abstract: Forecasting the stock market prices is complicated and challenging since the price movement is affected by many factors such as releasing market news about earnings and profits, international and domestic economic situation, political events, monetary ... ...

    Abstract Forecasting the stock market prices is complicated and challenging since the price movement is affected by many factors such as releasing market news about earnings and profits, international and domestic economic situation, political events, monetary policy, major abrupt affairs, etc. In this work, a novel framework: deep predictor for price movement (DPP) using candlestick charts in the stock historical data is proposed. This framework comprises three steps: 1. decomposing a given candlestick chart into sub-charts; 2. using CNN-autoencoder to acquire the best representation of sub-charts; 3. applying RNN to predict the price movements from a collection of sub-chart representations. An extensive study is operated to assess the performance of the DPP based models using the trading data of Taiwan Stock Exchange Capitalization Weighted Stock Index and a stock market index, Nikkei 225, for the Tokyo Stock Exchange. Three baseline models based on IEM, Prophet, and LSTM approaches are compared with the DPP based models.
    MeSH term(s) Algorithms ; Commerce/economics ; Forecasting/methods ; Investments/economics ; Models, Economic ; Neural Networks, Computer ; Taiwan ; Tokyo
    Language English
    Publishing date 2021-06-21
    Publishing country United States
    Document type Journal Article
    ISSN 1932-6203
    ISSN (online) 1932-6203
    DOI 10.1371/journal.pone.0252404
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  6. Article ; Online: Comparing classifier performance with baselines.

    Megahed, Fadel M / Chen, Ying-Ju / Jones-Farmer, L Allison / Rigdon, Steven E / Krzywinski, Martin / Altman, Naomi

    Nature methods

    2024  Volume 21, Issue 4, Page(s) 546–548

    Language English
    Publishing date 2024-03-22
    Publishing country United States
    Document type News
    ZDB-ID 2169522-2
    ISSN 1548-7105 ; 1548-7091
    ISSN (online) 1548-7105
    ISSN 1548-7091
    DOI 10.1038/s41592-024-02234-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Zs.A 6022: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  7. Article ; Online: Considerations of Subgroup Classification When Analyzing Risk of Developing Cardiometabolic Risk Factors in Patients With Breast Cancer.

    Chen, Ying-Ju / Yeh, Ming-Hsin / Wei, James Cheng-Chung

    Journal of clinical oncology : official journal of the American Society of Clinical Oncology

    2022  Volume 40, Issue 25, Page(s) 3000–3001

    MeSH term(s) Breast Neoplasms ; Cardiometabolic Risk Factors ; Cardiovascular Diseases/epidemiology ; Cardiovascular Diseases/etiology ; Female ; Humans ; Risk Factors
    Language English
    Publishing date 2022-06-16
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 604914-x
    ISSN 1527-7755 ; 0732-183X
    ISSN (online) 1527-7755
    ISSN 0732-183X
    DOI 10.1200/JCO.22.00416
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Zs.A 1847: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)
    Zs.MO 650: Show issues

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  8. Article ; Online: Distribution of Viral Respiratory Infections during the COVID-19 Pandemic Using the FilmArray Respiratory Panel

    Ying-Ju Chen / Tze-Kiong Er

    Biomedicines, Vol 10, Iss 2734, p

    2022  Volume 2734

    Abstract: This study was conducted to evaluate the distribution of respiratory viral pathogens in the emergency department during the coronavirus disease 2019 (COVID-19) pandemic. Between May 2020 and September 2022, patients aged between 0.1 and 98 years arrived ... ...

    Abstract This study was conducted to evaluate the distribution of respiratory viral pathogens in the emergency department during the coronavirus disease 2019 (COVID-19) pandemic. Between May 2020 and September 2022, patients aged between 0.1 and 98 years arrived at the emergency department of Asia University Hospital, and samples from nasopharyngeal swabs were tested by the FilmArray TM Respiratory Panel (RP). SARS-CoV-2 positivity was subsequently retested by the cobas Liat system. There were 804 patients for whom the FilmArray TM RP was tested, and 225 (27.9%) of them had positive results for respiratory viruses. Rhinovirus/enterovirus was the most commonly detected pathogen, with 170 (61.8%) cases, followed by adenovirus with 38 (13.8%), SARS-CoV-2 with 16 (5.8%) cases, and coronavirus 229E, with 16 (5.8%) cases. SARS-CoV-2 PCR results were positive in 16 (5.8%) cases, and there were two coinfections of SARS-CoV-2 with adenovirus and rhinovirus/enterovirus. A total of 43 (5.3%) patients were coinfected; the most coinfection was adenovirus plus rhinovirus/enterovirus, which was detectable in 18 (41.9%) cases. No atypical pathogens were found in this study. Intriguingly, our results showed that there was prefect agreement between the detection of SARS-CoV-2 conducted with the cobas Liat SARS-CoV-2 and influenza A/B nucleic acid test and the FilmArray TM RP. Therefore, the FilmArray TM RP assay is a reliable and feasible method for the detection of SARS-CoV-2. In summary, FilmArray TM RP significantly broadens our capability to detect multiple respiratory infections due to viruses and atypical bacteria. It provides a prompt evaluation of pathogens to enhance patient care and clinical selection strategies in emergency departments during the COVID-19 pandemic.
    Keywords FilmArray respiratory panel ; respiratory viral pathogens ; COVID-19 ; coinfection ; Biology (General) ; QH301-705.5
    Subject code 333
    Language English
    Publishing date 2022-10-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  9. Article ; Online: Self-supervised neural network for phase retrieval in QDPC microscopy.

    Chen, Ying-Ju / Vyas, Sunil / Huang, Hsuan-Ming / Luo, Yuan

    Optics express

    2023  Volume 31, Issue 12, Page(s) 19897–19908

    Abstract: Quantitative differential phase contrast (QDPC) microscope plays an important role in biomedical research since it can provide high-resolution images and quantitative phase information for thin transparent objects without staining. With weak phase ... ...

    Abstract Quantitative differential phase contrast (QDPC) microscope plays an important role in biomedical research since it can provide high-resolution images and quantitative phase information for thin transparent objects without staining. With weak phase assumption, the retrieval of phase information in QDPC can be treated as a linearly inverse problem which can be solved by Tikhonov regularization. However, the weak phase assumption is limited to thin objects, and tuning the regularization parameter manually is inconvenient. A self-supervised learning method based on deep image prior (DIP) is proposed to retrieve phase information from intensity measurements. The DIP model that takes intensity measurements as input is trained to output phase image. To achieve this goal, a physical layer that synthesizes the intensity measurements from the predicted phase is used. By minimizing the difference between the measured and predicted intensities, the trained DIP model is expected to reconstruct the phase image from its intensity measurements. To evaluate the performance of the proposed method, we conducted two phantom studies and reconstructed the micro-lens array and standard phase targets with different phase values. In the experimental results, the deviation of the reconstructed phase values obtained from the proposed method was less than 10% of the theoretical values. Our results show the feasibility of the proposed methods to predict quantitative phase with high accuracy, and no use of ground truth phase.
    Language English
    Publishing date 2023-06-28
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1491859-6
    ISSN 1094-4087 ; 1094-4087
    ISSN (online) 1094-4087
    ISSN 1094-4087
    DOI 10.1364/OE.491496
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  10. Article ; Online: Reply to: Comment on: Effect of music therapy on improving sleep quality in older adults: A systematic review and meta-analysis.

    Chen, Yen-Chin / Fang, Ching-Ju / Chen, Chia-Te / Ko, Nai-Ying / Chang, Ying-Ju

    Journal of the American Geriatrics Society

    2022  Volume 70, Issue 7, Page(s) 2172–2173

    MeSH term(s) Aged ; Humans ; Music ; Music Therapy ; Sleep ; Sleep Initiation and Maintenance Disorders/therapy ; Sleep Quality
    Language English
    Publishing date 2022-04-14
    Publishing country United States
    Document type Letter ; Meta-Analysis ; Systematic Review ; Comment
    ZDB-ID 80363-7
    ISSN 1532-5415 ; 0002-8614
    ISSN (online) 1532-5415
    ISSN 0002-8614
    DOI 10.1111/jgs.17786
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Ud II Zs.168: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

To top