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Multidimensional Prognostic Index and Mortality in Intermediate Care Facilities: A Retrospective Study
Nicola Veronese1,2, Stefano Vianello1, Claudia Danesin1
1Azienda ULSS (Unità Locale Socio Sanitaria) 3 "Serenissima", 30174 Venice, Italy.
The Multidimensional Prognostic Index (MPI) effectively predicts mortality risk in older adults admitted to intermediate care facilities (ICFs). Higher MPI scores indicate a significantly increased risk of death, aiding in patient management.
Area of Science:
- Gerontology
- Geriatric Medicine
- Public Health
Background:
- The Multidimensional Prognostic Index (MPI) is a validated frailty assessment tool for hospitalized older adults.
- Data on MPI's utility in intermediate care facilities (ICFs) for older patients is limited.
- Accurate prognostic tools are crucial for managing older individuals in subacute care settings.
Purpose of the Study:
- To evaluate the effectiveness of the Multidimensional Prognostic Index (MPI) in predicting mortality among older patients admitted to intermediate care facilities (ICFs).
- To assess the association between MPI-derived prognostic categories and mortality risk in this specific patient population.
Main Methods:
- MPI was calculated using comprehensive geriatric assessment (CGA) data.
- Patients were categorized into three tertiles based on MPI scores (MPI-1, MPI-2, MPI-3).
- Cox regression analysis was employed to determine the association between MPI tertiles and mortality, reporting Hazard Ratios (HRs) and 95% Confidence Intervals (CIs).
Main Results:
- A total of 653 older patients (mean age 82 years) were included.
- Patients in MPI-2 (HR = 3.66) and MPI-3 (HR = 6.22) showed significantly higher mortality risk compared to MPI-1.
- The MPI demonstrated good accuracy in predicting mortality (AUC = 0.74).
Conclusions:
- The Multidimensional Prognostic Index (MPI) is a valuable tool for stratifying mortality risk in older patients within intermediate care facilities (ICFs).
- Implementing CGA-based tools like MPI is essential for optimizing the care and management of elderly individuals in ICFs.
- Prognostic stratification using MPI can lead to more informed clinical decision-making and resource allocation.
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