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Pressure injury prediction models for critically-ill patients should consider both the case-mix and local factors

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064203%3A_____%2F21%3A10459104" target="_blank" >RIV/00064203:_____/21:10459104 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11130/21:10459104

  • Result on the web

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=DpOeaQZUjK" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=DpOeaQZUjK</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.iccn.2021.103033" target="_blank" >10.1016/j.iccn.2021.103033</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Pressure injury prediction models for critically-ill patients should consider both the case-mix and local factors

  • Original language description

    Pressure injuries in intensive care unit (ICU) patients are associated with unfavourable outcomes Models for predicting ICU-acquired pressure injury have been developed using machine learning and classic regression techniques, respectively resulting in areas under the receiver operating characteristic curve (AUC) of 0.79 and 0.89 , but also resulting in large differences among predictors identified. The latter may, at least partially, be associated with the fact that these models were not built for distinct subgroups within the highly-heterogeneous ICU population. Alderden and colleagues (2018) used surgical and cardiovascular-surgical ICU patient data; Ladios-Martin et al. (2020) used data from a mixed ICU population. Such generalised approaches often originate from the researchers&apos; lack of sufficient data for distinct ICU subpopulations.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30223 - Anaesthesiology

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Intensive and Critical Care Nursing

  • ISSN

    0964-3397

  • e-ISSN

  • Volume of the periodical

    65

  • Issue of the periodical within the volume

    August

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    2

  • Pages from-to

    103033

  • UT code for WoS article

    000661431800015

  • EID of the result in the Scopus database

    2-s2.0-85103927355