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  1. Article ; Online: CKD of Unknown Etiology: Is Taiwan Another Hotspot?

    Amante, Isabelle Dominique Tomacruz / Lin, Ming-Yen / Hwang, Shang-Jyh

    Kidney international reports

    2023  Volume 9, Issue 1, Page(s) 4–6

    Language English
    Publishing date 2023-11-18
    Publishing country United States
    Document type Editorial ; Comment
    ISSN 2468-0249
    ISSN (online) 2468-0249
    DOI 10.1016/j.ekir.2023.11.014
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Validating the accuracy of the Hendrich II Fall Risk Model for hospitalized patients using the ROC curve analysis.

    Hu, Chieh-Ying / Sun, Li-Chen / Lin, Ming-Yen / Chen, Mei-Hsing / Hsu, Hsin-Tien

    The Kaohsiung journal of medical sciences

    2024  Volume 40, Issue 4, Page(s) 404–412

    Abstract: This retrospective study was conducted at a medical center in southern Taiwan to assess the accuracy of the Hendrich II Fall Risk Model (HIIFRM) in predicting falls. Sensitivity, specificity, accuracy, and optimal cutoff points were analyzed using ... ...

    Abstract This retrospective study was conducted at a medical center in southern Taiwan to assess the accuracy of the Hendrich II Fall Risk Model (HIIFRM) in predicting falls. Sensitivity, specificity, accuracy, and optimal cutoff points were analyzed using receiver operating characteristic (ROC) curves. Data analysis was conducted using information from the electronic medical record and patient safety reporting systems, capturing 303 fall events and 47,146 non-fall events. Results revealed that at the standard threshold of HIIFRM score ≥5, the median score in the fall group was significantly higher than in the non-fall group. The top three units with HIIFRM scores exceeding 5 were the internal medicine (50.6%), surgical (26.5%), and oncology wards (14.1%), indicating a higher risk of falls in these areas. ROC analysis showed an HIIFRM sensitivity of 29.5% and specificity of 86.3%. The area under the curve (AUC) was 0.57, indicating limited discriminative ability in predicting falls. At a lower cutoff score (≥2), the AUC was 0.75 (95% confidence interval: 0.666-0.706; p < 0.0001), suggesting acceptable discriminative ability in predicting falls, with an additional identification of 101 fall events. This study emphasizes the importance of selecting an appropriate cutoff score when using the HIIFRM as a fall risk assessment tool. The findings have implications for fall prevention strategies and patient care in clinical settings, potentially leading to improved outcomes and patient safety.
    MeSH term(s) Humans ; ROC Curve ; Retrospective Studies ; Risk Factors ; Risk Assessment/methods ; Inpatients
    Language English
    Publishing date 2024-02-16
    Publishing country China (Republic : 1949- )
    Document type Journal Article
    ZDB-ID 639302-0
    ISSN 2410-8650 ; 0257-5655
    ISSN (online) 2410-8650
    ISSN 0257-5655
    DOI 10.1002/kjm2.12807
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Explainable Machine Learning to Predict Successful Weaning of Mechanical Ventilation in Critically Ill Patients Requiring Hemodialysis.

    Lin, Ming-Yen / Chang, Yuan-Ming / Li, Chi-Chun / Chao, Wen-Cheng

    Healthcare (Basel, Switzerland)

    2023  Volume 11, Issue 6

    Abstract: Lungs and kidneys are two vital and frequently injured organs among critically ill patients. In this study, we attempt to develop a weaning prediction model for patients with both respiratory and renal failure using an explainable machine learning (XML) ... ...

    Abstract Lungs and kidneys are two vital and frequently injured organs among critically ill patients. In this study, we attempt to develop a weaning prediction model for patients with both respiratory and renal failure using an explainable machine learning (XML) approach. We used the eICU collaborative research database, which contained data from 335 ICUs across the United States. Four ML models, including XGBoost, GBM, AdaBoost, and RF, were used, with weaning prediction and feature windows, both at 48 h. The model's explanations were presented at the domain, feature, and individual levels by leveraging various techniques, including cumulative feature importance, the partial dependence plot (PDP), the Shapley additive explanations (SHAP) plot, and local explanation with the local interpretable model-agnostic explanations (LIME). We enrolled 1789 critically ill ventilated patients requiring hemodialysis, and 42.8% (765/1789) of them were weaned successfully from mechanical ventilation. The accuracies in XGBoost and GBM were better than those in the other models. The discriminative characteristics of six key features used to predict weaning were demonstrated through the application of the SHAP and PDP plots. By utilizing LIME, we were able to provide an explanation of the predicted probabilities and the associated reasoning for successful weaning on an individual level. In conclusion, we used an XML approach to establish a weaning prediction model in critically ill ventilated patients requiring hemodialysis.
    Language English
    Publishing date 2023-03-21
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2721009-1
    ISSN 2227-9032
    ISSN 2227-9032
    DOI 10.3390/healthcare11060910
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Editorial: Public health for chronic kidney disease prevention and care.

    Lin, Ming-Yen / Fiorentino, Marco / Wu, I-Wen

    Frontiers in public health

    2022  Volume 10, Page(s) 1021075

    MeSH term(s) Humans ; Mass Screening ; Public Health ; Renal Insufficiency, Chronic/prevention & control
    Language English
    Publishing date 2022-09-13
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2711781-9
    ISSN 2296-2565 ; 2296-2565
    ISSN (online) 2296-2565
    ISSN 2296-2565
    DOI 10.3389/fpubh.2022.1021075
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Dialysis Duration and Glucose Exposure Amount Do Not Increase Mortality Risk in Peritoneal Dialysis Patients: A Population-Based Cohort Study From 2004 to 2012.

    Wu, Pei-Yu / Lin, Ming-Yen / Hwang, Shang-Jyh / Chiu, Yi-Wen

    Frontiers in medicine

    2022  Volume 9, Page(s) 897545

    Abstract: Background: Although the bio-incompatibility of glucose-based peritoneal dialysis (PD) solution is well documented, it is used worldwide. How PD duration and the amount of dialyzate glucose exposure affect survival in patients with end-stage renal ... ...

    Abstract Background: Although the bio-incompatibility of glucose-based peritoneal dialysis (PD) solution is well documented, it is used worldwide. How PD duration and the amount of dialyzate glucose exposure affect survival in patients with end-stage renal disease remain inconclusive due to improper study designs in the extant literature.
    Methods: All incident patients with PD from 2004 to 2007 who were older than 18 years in Taiwan were included. Patients were censored when they received a transplant or at the end of 2012. Glucose exposure through PD solution was calculated by the mean glucose contained per liter when receiving PD. For those who had already shifted to hemodialysis (HD) and survived longer than 2, 3, and 4 years (the index dates), the cause-specific Cox regression model was used to make the survival comparison by PD duration and mean glucose concentration in these three cohorts, respectively. The model was adjusted by demographics, case-mix, time cohort (2004-2005
    Results: A total of 3,226 patients were included, with a mean age of 53.4 ± 15.2 years, 44.6% being male, and 34.2% having diabetes mellitus. The 1, 2, 3, and 4-year survival rates were 94, 87, 80, and 74%, while technical survival rates were 86, 70, 56, and 45%, respectively. The overall transplant events were 309 (9.6%) only. There were 389, 495, and 553 incident patients with PD shifting to HD included in 2-, 3-, and 4-year cohort, respectively. The population with moderate glucose concentration exposure had the highest mortality, and the high glucose concentration exposure had non-significant lower mortality in each cohort. In various fixed time-window cohorts, the duration of PD treatment did not increase mortality risk after adjustments. In addition, glucose exposure did not affect the mortality rate.
    Conclusion: For incident PD patients with PD duration no longer than 4 years, neither PD duration nor glucose exposure amount increases the long-term mortality risk.
    Language English
    Publishing date 2022-06-28
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2775999-4
    ISSN 2296-858X
    ISSN 2296-858X
    DOI 10.3389/fmed.2022.897545
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: ASO Author Reflections: Dialysis and Recurrence in Urothelial Cancer.

    Lin, Ming-Yen / Hwang, Shang-Jyh

    Annals of surgical oncology

    2018  Volume 25, Issue Suppl 3, Page(s) 978–979

    MeSH term(s) Carcinoma, Transitional Cell ; Humans ; Neoplasm Recurrence, Local ; Renal Dialysis ; Urinary Bladder ; Urologic Neoplasms
    Language English
    Publishing date 2018-10-29
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 1200469-8
    ISSN 1534-4681 ; 1068-9265
    ISSN (online) 1534-4681
    ISSN 1068-9265
    DOI 10.1245/s10434-018-6893-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: No Obvious Impact of NSAIDs on Risk of Kidney Failure: Causal or Another Selection Bias?

    Lin, Ming-Yen / Hwang, Shang-Jyh / Chiu, Yi-Wen

    American journal of kidney diseases : the official journal of the National Kidney Foundation

    2020  Volume 76, Issue 5, Page(s) 742

    MeSH term(s) Analgesics, Opioid ; Anti-Inflammatory Agents, Non-Steroidal/adverse effects ; Humans ; Renal Insufficiency ; Renal Insufficiency, Chronic ; Selection Bias
    Chemical Substances Analgesics, Opioid ; Anti-Inflammatory Agents, Non-Steroidal
    Language English
    Publishing date 2020-07-31
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 604539-x
    ISSN 1523-6838 ; 0272-6386
    ISSN (online) 1523-6838
    ISSN 0272-6386
    DOI 10.1053/j.ajkd.2020.05.023
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: A theoretical framework for general design of two-materials composed diffractive fresnel lens.

    Lin, Ming-Yen / Chuang, Chih-Hao / Chou, Tzu-An / Chen, Chien-Yu

    Scientific reports

    2021  Volume 11, Issue 1, Page(s) 15466

    Abstract: Near 100% of diffractive efficiency for diffractive optical elements (DOEs) is one of the most required optical performances in broadband imaging applications. Of all flat DOEs, none seems to interest researchers as much as Two-Materials Composed ... ...

    Abstract Near 100% of diffractive efficiency for diffractive optical elements (DOEs) is one of the most required optical performances in broadband imaging applications. Of all flat DOEs, none seems to interest researchers as much as Two-Materials Composed Diffractive Fresnel Lens (TM-DFL) among the most promising flat DOEs. An approach of the near 100% of diffractive efficiency for TM-DFL once developed to determine the design rules mainly takes the advantage of numerical computation by methods of mapping and fitting. Despite a curved line of near 100% of diffractive efficiency can be generated in the Abbe and partial dispersion diagram, it is not able to analytically elaborate the relationship between two optical materials that compose the TM-DFL. Here, we present a theoretical framework, based on the fundaments of Cauchy's equation, Abbe number, partial dispersion, and the diffraction theory of Fresnel lens, for obtaining a general design formalism, so to perform the perfect material matching between two different optical materials for achieving the near 100% of diffractive efficiency for TM-DFL in the broadband imaging applications.
    Language English
    Publishing date 2021-07-29
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-021-94953-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Associations of air pollutant concentrations with longitudinal kidney function changes in patients with chronic kidney disease.

    Chung, Cheng-Yin / Wu, Shang-Yu / Chiu, Huei-Hsuan / Wu, Tzu-Ning / Wang, Your-Tong / Lin, Ming-Yen

    Scientific reports

    2023  Volume 13, Issue 1, Page(s) 9609

    Abstract: This longitudinal cohort study investigated the associations of air pollutant exposures, including CO, NO, ... ...

    Abstract This longitudinal cohort study investigated the associations of air pollutant exposures, including CO, NO, NO
    MeSH term(s) Humans ; Middle Aged ; Aged ; Aged, 80 and over ; Longitudinal Studies ; Air Pollutants/adverse effects ; Patients ; Renal Insufficiency, Chronic ; Kidney
    Chemical Substances Air Pollutants
    Language English
    Publishing date 2023-06-13
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-023-36682-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Taiwan renal data report system: Framework, function, and development.

    Lin, Ming-Yen / Liao, Chia-Te / Lin, Ming-Huang / Wu, Hsiao-Ting / Wu, Mai-Szu / Hsu, Yung-Ho / Hsu, Chih-Cheng

    Nephrology (Carlton, Vic.)

    2023  Volume 28, Issue 11, Page(s) 581–587

    Abstract: The world healthcare system is actively seeking possible solutions for the rapid growth of kidney disease threats. The Taiwan Renal Data System (TWRDS) was central in assisting kidney health and care policymaking to reduce end-stage kidney disease ... ...

    Abstract The world healthcare system is actively seeking possible solutions for the rapid growth of kidney disease threats. The Taiwan Renal Data System (TWRDS) was central in assisting kidney health and care policymaking to reduce end-stage kidney disease incidence and mortality. This article summarizes the TWRDS framework, recent applications, and developments to provide new insights for some international researchers to promote planetary kidney health. The TWRDS originated in 1987 for the accreditation and quality monitoring of dialysis units and was connected with enriched health claim databases after the implementation of universal national health insurance in Taiwan in 1995. As a healthcare information centre, TWRDS has published annual reports forming indispensable instructions for renal care improvement since 2014. The TWRDS possesses three main functions: (1) kidney disease surveillance; (2) offering rich materials for research purposes; (3) achieving precision prevention and care through complex algorithms. In the new era, TWRDS can help build a more resilient society against communicable disease threats by integrating remote sensor techniques for developing future remote healthcare structures, as well as identifying kidney health inequity populations and promoting healthcare resources distributed equity. The global healthcare system is facing escalating burdens of non-communicable disease care due to the rapidly growing elderly population. Therefore, a considerable-scale data system is an essential decision-supportive tool in promoting an evidence-based, resilient, sustainable, equity care environment. Undoubtedly, TWRDS experience is a practical example of leveraging healthcare providers' decisions, care outcomes, and renovation.
    MeSH term(s) Aged ; Humans ; Taiwan/epidemiology ; Renal Dialysis ; Delivery of Health Care ; Kidney Failure, Chronic/diagnosis ; Kidney Failure, Chronic/epidemiology ; Kidney Failure, Chronic/therapy ; Kidney
    Language English
    Publishing date 2023-08-07
    Publishing country Australia
    Document type Journal Article
    ZDB-ID 1303661-0
    ISSN 1440-1797 ; 1320-5358
    ISSN (online) 1440-1797
    ISSN 1320-5358
    DOI 10.1111/nep.14228
    Database MEDical Literature Analysis and Retrieval System OnLINE

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