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The multidimensional prognostic index predicts short- and long-term mortality in hospitalized geriatric patients with

Alberto Pilotto1, Filomena Addante, Luigi Ferrucci

  • 1Department of Medical Sciences, Geriatric Unit and Gerontology-Geriatrics Research Laboratory, IRCCS Casa Sollievo della Sofferenza, Viale Cappuccini 1, San Giovanni Rotondo, Foggia I-71013, Italy. alberto.pilotto@operapadrepio.it

Abstract

Insights

A new Multidimensional Prognostic Index (MPI) accurately predicts mortality risk in elderly patients with community-acquired pneumonia (CAP). This comprehensive geriatric assessment tool offers superior prediction compared to the Pneumonia Severity Index (PSI).

Area of Science:

  • Geriatric Medicine
  • Internal Medicine
  • Public Health

Background:

  • Older patients with multidimensional impairment face increased risks from acute and chronic diseases.
  • Community-acquired pneumonia (CAP) poses a significant mortality risk for the elderly population.
  • Comprehensive Geriatric Assessment (CGA) is crucial for evaluating the complex health status of older adults.

Purpose of the Study:

  • To evaluate the usefulness of a Multidimensional Prognostic Index (MPI) for predicting mortality in older patients with CAP.
  • To determine if MPI, derived from CGA, can stratify mortality risk more effectively than existing tools.
  • To assess the 1-year all-cause mortality predictive value of MPI in hospitalized CAP patients.

Main Methods:

  • A prospective study involving 134 hospitalized patients aged 65 and older diagnosed with CAP.
  • Standardized Comprehensive Geriatric Assessment (CGA) to collect data on clinical, cognitive, functional, nutritional status, comorbidities, medications, and social support.
  • Calculation of Multidimensional Prognostic Index (MPI) and Pneumonia Severity Index (PSI) for comparative analysis of predictive accuracy.

Main Results:

  • Higher MPI scores significantly correlated with increased mortality at 30 days, 6 months, and 1 year (p < .001).
  • MPI demonstrated a closer agreement between estimated and observed mortality rates.
  • MPI showed significantly greater discriminatory power than PSI at 30 days (AUC=0.83 vs 0.71) and 6 months (AUC=0.79 vs 0.69).

Conclusions:

  • The MPI, calculated via standardized CGA, accurately stratifies mortality risk in elderly CAP patients.
  • MPI proves to be a valuable tool for predicting both short-term and long-term mortality in this population.
  • MPI exhibits superior predictive accuracy for mortality compared to the Pneumonia Severity Index (PSI).