Using the Multidimensional Prognostic Index to Predict Clinical Outcomes of Hospitalized Older Persons: A Prospective, Multicenter, International Study
Language English Country United States Media print
Document type Journal Article, Multicenter Study, Observational Study, Research Support, Non-U.S. Gov't
PubMed
30329033
PubMed Central
PMC6940980
DOI
10.1093/gerona/gly239
PII: 5133708
Knihovny.cz E-resources
- Keywords
- Aged, Cohort study, Hospital, Multidimensional Prognostic Index, Prognosis,
- MeSH
- Geriatric Assessment * MeSH
- Risk Assessment MeSH
- Hospitalization * MeSH
- Humans MeSH
- Longitudinal Studies MeSH
- Predictive Value of Tests MeSH
- Prognosis MeSH
- Prospective Studies MeSH
- ROC Curve MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Check Tag
- Humans MeSH
- Male MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Multicenter Study MeSH
- Observational Study MeSH
- Research Support, Non-U.S. Gov't MeSH
- Geographicals
- Australia MeSH
- Europe MeSH
BACKGROUND: Multidimensional Prognostic Index (MPI) is useful as a prognostic tool in hospitalized older patients, but our knowledge is derived from retrospective studies. We therefore aimed to evaluate in a multicenter, longitudinal, cohort study whether the MPI at hospital admission is useful to identify groups with different mortality risk and whether MPI at discharge may predict institutionalization, rehospitalization, and use of home care services during 12 months. METHODS: This longitudinal study, carried out between February 2015 and August 2017, included nine public hospitals in Europe and Australia. A standardized comprehensive geriatric assessment including information on functional, nutritional, cognitive status, risk of pressure sores, comorbidities, medications, and cohabitation status was used to calculate the MPI and to categorize participants in low, moderate, and severe risk of mortality. Data regarding mortality, institutionalization, rehospitalization, and use of home care services were recorded through administrative information. RESULTS: Altogether, 1,140 hospitalized patients (mean age 84.1 years, women = 60.8%) were included. In the multivariable analysis, compared to patients with low risk group at admission, patients in moderate (odds ratio [OR] = 3.32; 95% CI: 1.79-6.17; p < .001) and severe risk (OR = 10.72, 95% CI: 5.70-20.18, p < .0001) groups were at higher risk of overall mortality. Among the 984 older patients with follow-up data available, those in the severe-risk group experienced a higher risk of overall mortality, institutionalization, rehospitalization, and access to home care services. CONCLUSIONS: In this cohort of hospitalized older adults, higher MPI values are associated with higher mortality and other negative outcomes. Multidimensional assessment of older people admitted to hospital may facilitate appropriate clinical and postdischarge management.
Aging Section National Research Council Padova Italy
Centre Investigation Clinique 1402 University of Poitiers France
Department of Geriatrics 1st Faculty of Medicine Charles University Prague Czech Republic
Department of Medicine 2 University of Cologne Medical Faculty Germany
Geriatrics Department Poitiers University Hospital France
Geriatrics Unit IRCCS CSS San Giovanni Rotondo Italy
Geriatrics Unit San Antonio Hospital Padua Italy
National Institute on Aging Baltimore Maryland
Servicio de Geriatría Hospital Universitario Ramón y Cajal Madrid Spain
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