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's regression analysis was used for assessing the impact of mechanical ventilation on rehospitalization/mortality for 90 days' 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 >= 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 < 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 < .001) and an IDI of 0.1858 (P < .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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30303 - Infectious Diseases
Result continuities
Project
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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
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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