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Can the Multidimensional Prognostic Index Improve the Identification of Older Hospitalized Patients with COVID-19 Likely to Benefit from Mechanical Ventilation? An Observational, Prospective, Multicenter Study

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12110%2F22%3A43905144" target="_blank" >RIV/60076658:12110/22:43905144 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11110/22:10451092

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S1525861022004959?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1525861022004959?via%3Dihub</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.jamda.2022.06.023" target="_blank" >10.1016/j.jamda.2022.06.023</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Can the Multidimensional Prognostic Index Improve the Identification of Older Hospitalized Patients with COVID-19 Likely to Benefit from Mechanical Ventilation? An Observational, Prospective, Multicenter Study

  • Original language description

    AbstractObjective: Data on prognostic tools for indicating mechanical ventilation in older people with COVID-19 are still limited. The aim of this research was to evaluate if the Multidimensional Prognostic Index (MPI), based on the Comprehensive Geriatric Assessment (CGA), may help physicians in identifying older hospitalized patients affected by COVID-19 who might benefit from mechanical ventilation.Design: Longitudinal, multicenter study.Settings and Participants: 502 older people hospitalized for COVID-19 in 10 European hospitals.Methods: MPI was calculated using 8 different domains typical of the CGA. A propensity score, Cox&apos;s regression analysis was used for assessing the impact of mechanical ventilation on rehospitalization/mortality for 90 days&apos; follow-up, stratified by MPI = 0.50. The accuracy of MPI in predicting negative outcomes (ie, rehospitalization/mortality) was assessed using the area under the curve (AUC), and the discrimination with several indexes like the Net Reclassification Improvement (NRI) and the Integrated Discrimination Improvement (IDI).Results: Among 502 older people hospitalized for COVID-19 (mean age: 80 years), 152 were treated with mechanical ventilation. In the propensity score analysis, during the 90-day follow-up period, there were 44 rehospitalizations and 95 deaths. Mechanical ventilation in patients with MPI values &gt;= 0.50, indicating frailer participants, was associated with a higher risk of rehospitalization/mortality (hazard ratio 1.56, 95% CI 1.09-2.23), whereas in participants with MPI values &lt; 0.50 this association was not significant. The accuracy of the model including age, sex, respiratory parameters, and MPI was good (AUC = 0.783) as confirmed by an NRI of 0.2756 (P &lt; .001) and an IDI of 0.1858 (P &lt; .001), suggesting a good discrimination of the model in predicting negative outcomes.Conclusions and Implications: MPI could be useful for better individualizing older people hospitalized by COVID-19 who could benefit from mechanical ventilation. (C) 2022 AMDA - The Society for Post-Acute and Long-Term Care Medicine.

  • 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

    30303 - Infectious Diseases

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Journal of the American Medical Directors Association

  • ISSN

    1525-8610

  • e-ISSN

  • Volume of the periodical

    23

  • Issue of the periodical within the volume

    9

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    8

  • Pages from-to

    "1608.e1"-"1608.e8"

  • UT code for WoS article

    000883283800029

  • EID of the result in the Scopus database

    2-s2.0-85136195225