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  1. Book: Technological progresss and ownership structure

    Geng, Heng / Hau, Harald / Lai, Sandy

    (Discussion paper series / Centre for Economic Policy Research : Financial economics, industrial organization and macroeconomics and growth ; no. 11064)

    2016  

    Author's details Heng Geng, Harald Hau and Sandy Lai
    Series title Discussion paper series / Centre for Economic Policy Research : Financial economics, industrial organization and macroeconomics and growth ; no. 11064
    Keywords Patents ; holdup Problems ; Innovation ; Institutional Ownership
    Language English
    Size 54 Seiten
    Publisher Centre for Economic Policy Research
    Publishing place London
    Document type Book
    Note Erscheint auch als Online-Ausgabe
    Database ECONomics Information System

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  2. Article ; Online: Red blood cell distribution width: A severity indicator in patients with COVID-19.

    Wang, Zhong-Hua / Fu, Bing-Qi / Lin, Ying-Wen / Wei, Xue-Biao / Geng, Heng / Guo, Wei-Xin / Yuan, Hui-Qing / Liao, You-Wan / Qin, Tie-He / Li, Fei / Wang, Shou-Hong

    Journal of medical virology

    2022  Volume 94, Issue 5, Page(s) 2133–2138

    Abstract: Red blood cell distribution width (RDW) was frequently assessed in COVID-19 infection and reported to be associated with adverse outcomes. However, there was no consensus regarding the optimal cutoff value for RDW. Records of 98 patients with COVID-19 ... ...

    Abstract Red blood cell distribution width (RDW) was frequently assessed in COVID-19 infection and reported to be associated with adverse outcomes. However, there was no consensus regarding the optimal cutoff value for RDW. Records of 98 patients with COVID-19 from the First People's Hospital of Jingzhou were reviewed. They were divided into two groups according to the cutoff value for RDW on admission by receiver operator characteristic curve analysis: ≤11.5% (n = 50) and >11.5% (n = 48). The association of RDW with the severity and outcomes of COVID-19 was analyzed. The receiver operating characteristic curve indicated that the RDW was a good discrimination factor for identifying COVID-19 severity (area under the curve = 0.728, 95% CI: 0.626-0.830, p < 0.001). Patients with RDW > 11.5% more frequently suffered from critical COVID-19 than those with RDW ≤ 11.5% (62.5% vs. 26.0%, p < 0.001). Multivariate logistic regression analysis showed RDW to be an independent predictor for critical illness due to COVID-19 (OR = 2.40, 95% CI: 1.27-4.55, p = 0.007). A similar result was obtained when we included RDW > 11.5% into another model instead of RDW as a continuous variable (OR = 5.41, 95% CI: 1.53-19.10, p = 0.009). RDW, as an inexpensive and routinely measured parameter, showed promise as a predictor for critical illness in patients with COVID-19 infection. RDW > 11.5% could be the optimal cutoff to discriminate critical COVID-19 infection.
    MeSH term(s) COVID-19/diagnosis ; Erythrocyte Indices ; Erythrocytes ; Humans ; Prognosis ; ROC Curve ; Retrospective Studies
    Language English
    Publishing date 2022-01-31
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 752392-0
    ISSN 1096-9071 ; 0146-6615
    ISSN (online) 1096-9071
    ISSN 0146-6615
    DOI 10.1002/jmv.27602
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Book ; Online: Technological progress and ownership structure

    Geng, Heng / Hau, Harald / Lai, Sandy

    (Research paper series / Swiss Finance Institute ; no. 15-39)

    2015  

    Author's details Heng Geng (University of Hong Kong), Harald Hau (University of Geneva and Swiss Finance Institute), Sandy Lai (University of Hong Kong)
    Series title Research paper series / Swiss Finance Institute ; no. 15-39
    Language English
    Size 1 Online-Ressource (54 Seiten), Illustrationen
    Publisher Swiss Finance Institute
    Publishing place Geneva
    Document type Book ; Online
    DOI 10.2139/ssrn.2662478
    Database ECONomics Information System

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  4. Article: Predictive Value of Prognostic Nutritional Index on COVID-19 Severity.

    Wang, Zhong-Hua / Lin, Ying-Wen / Wei, Xue-Biao / Li, Fei / Liao, Xiao-Long / Yuan, Hui-Qing / Huang, Dao-Zheng / Qin, Tie-He / Geng, Heng / Wang, Shou-Hong

    Frontiers in nutrition

    2021  Volume 7, Page(s) 582736

    Abstract: Background: ...

    Abstract Background:
    Language English
    Publishing date 2021-01-14
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2776676-7
    ISSN 2296-861X
    ISSN 2296-861X
    DOI 10.3389/fnut.2020.582736
    Database MEDical Literature Analysis and Retrieval System OnLINE

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