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  1. Article ; Conference proceedings: Echokardiographie für Einsteiger: Beurteilung der Aortenklappe

    Fernandes, Laurenz Kopp

    Ultraschall in der Medizin - European Journal of Ultrasound

    2023  Volume 44, Issue S 01

    Event/congress 46. Dreiländertreffen der DEGUM in Zusammenarbeit mit ÖGUM & SGUM, Mainz, 2023-10-11
    Language German
    Publishing date 2023-08-01
    Publisher Georg Thieme Verlag
    Publishing place Stuttgart ; New York
    Document type Article ; Conference proceedings
    ZDB-ID 801064-x
    ISSN 1438-8782 ; 0172-4614 ; 1439-0914 ; 1431-4894
    ISSN (online) 1438-8782
    ISSN 0172-4614 ; 1439-0914 ; 1431-4894
    DOI 10.1055/s-0043-1772269
    Database Thieme publisher's database

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1572: 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)

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  2. Article ; Online: Prognostic models in COVID-19 infection that predict severity: a systematic review.

    Buttia, Chepkoech / Llanaj, Erand / Raeisi-Dehkordi, Hamidreza / Kastrati, Lum / Amiri, Mojgan / Meçani, Renald / Taneri, Petek Eylul / Ochoa, Sergio Alejandro Gómez / Raguindin, Peter Francis / Wehrli, Faina / Khatami, Farnaz / Espínola, Octavio Pano / Rojas, Lyda Z / de Mortanges, Aurélie Pahud / Macharia-Nimietz, Eric Francis / Alijla, Fadi / Minder, Beatrice / Leichtle, Alexander B / Lüthi, Nora /
    Ehrhard, Simone / Que, Yok-Ai / Fernandes, Laurenz Kopp / Hautz, Wolf / Muka, Taulant

    European journal of epidemiology

    2023  Volume 38, Issue 4, Page(s) 355–372

    Abstract: Current evidence on COVID-19 prognostic models is inconsistent and clinical applicability remains controversial. We performed a systematic review to summarize and critically appraise the available studies that have developed, assessed and/or validated ... ...

    Abstract Current evidence on COVID-19 prognostic models is inconsistent and clinical applicability remains controversial. We performed a systematic review to summarize and critically appraise the available studies that have developed, assessed and/or validated prognostic models of COVID-19 predicting health outcomes. We searched six bibliographic databases to identify published articles that investigated univariable and multivariable prognostic models predicting adverse outcomes in adult COVID-19 patients, including intensive care unit (ICU) admission, intubation, high-flow nasal therapy (HFNT), extracorporeal membrane oxygenation (ECMO) and mortality. We identified and assessed 314 eligible articles from more than 40 countries, with 152 of these studies presenting mortality, 66 progression to severe or critical illness, 35 mortality and ICU admission combined, 17 ICU admission only, while the remaining 44 studies reported prediction models for mechanical ventilation (MV) or a combination of multiple outcomes. The sample size of included studies varied from 11 to 7,704,171 participants, with a mean age ranging from 18 to 93 years. There were 353 prognostic models investigated, with area under the curve (AUC) ranging from 0.44 to 0.99. A great proportion of studies (61.5%, 193 out of 314) performed internal or external validation or replication. In 312 (99.4%) studies, prognostic models were reported to be at high risk of bias due to uncertainties and challenges surrounding methodological rigor, sampling, handling of missing data, failure to deal with overfitting and heterogeneous definitions of COVID-19 and severity outcomes. While several clinical prognostic models for COVID-19 have been described in the literature, they are limited in generalizability and/or applicability due to deficiencies in addressing fundamental statistical and methodological concerns. Future large, multi-centric and well-designed prognostic prospective studies are needed to clarify remaining uncertainties.
    MeSH term(s) Adult ; Humans ; Adolescent ; Young Adult ; Middle Aged ; Aged ; Aged, 80 and over ; COVID-19 ; Prognosis ; Critical Care ; Intensive Care Units ; Hospitalization
    Language English
    Publishing date 2023-02-25
    Publishing country Netherlands
    Document type Systematic Review ; Journal Article ; Review
    ZDB-ID 632614-6
    ISSN 1573-7284 ; 0393-2990
    ISSN (online) 1573-7284
    ISSN 0393-2990
    DOI 10.1007/s10654-023-00973-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2090: 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)

    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.

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