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
Jazyk angličtina Země Spojené státy americké Médium print-electronic
Typ dokumentu časopisecké články, multicentrická studie, pozorovací studie
PubMed
35934019
PubMed Central
PMC9247233
DOI
10.1016/j.jamda.2022.06.023
PII: S1525-8610(22)00495-9
Knihovny.cz E-zdroje
- Klíčová slova
- COVID-19, Comprehensive Geriatric Assessment, Multidimensional Prognostic Index, mechanical ventilation, mortality, noninvasive ventilation, prognosis,
- MeSH
- COVID-19 * terapie MeSH
- geriatrické hodnocení metody MeSH
- lidé MeSH
- prognóza MeSH
- prospektivní studie MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- umělé dýchání MeSH
- Check Tag
- lidé MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- Publikační typ
- časopisecké články MeSH
- multicentrická studie MeSH
- pozorovací studie MeSH
OBJECTIVE: 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.
Department of Geriatric Care Orthogeriatrics and Rehabilitation Galliera Hospital Genoa Italy
Department of Interdisciplinary Medicine Aldo Moro University of Bari Bari Italy
Department of Internal Medicine and Geriatrics University of Palermo Italy
Division of Geriatrics University Medical Center Goettingen Goettingen Germany
Geriatrics Unit Mater Salutis Hospital Legnago ULSS 9 Scaligera Verona Italy
Geriatrics Unit Pugliese Ciaccio Hospital Catanzaro Italy
Infectious Disease Unit Sanremo Hospital ASL 1 Imperiese Sanremo Italy
Klinikum Oldenburg AöR Oldenburg University Oldenburg Germany
Neurology Unit Department of Clinical and Experimental Sciences University of Brescia Italy
Servicio de Geriatría Hospital Universitario Ramón y Cajal Madrid Spain
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