Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Observational Study
. 2019 Aug;22(4):299-305.
doi: 10.1089/rej.2018.2103. Epub 2018 Dec 28.

Development and Validation of a Self-Administered Multidimensional Prognostic Index to Predict Negative Health Outcomes in Community-Dwelling Persons

Alberto Pilotto  1 , Nicola Veronese  1 , Katerin Leslie Quispe Guerrero  1 , Sabrina Zora  1 , An L D Boone  2 , Matteo Puntoni  3 , Angela Giorgeschi  1 , Alberto Cella  1 , Ines Rey Hidalgo  2 , Yves-Marie Pers  4 , Alberto Ferri  1 , Jose Ramon Hevia Fernandez  5 , Marta Pisano Gonzalez  6 ; EFFICHRONIC Consortium
Collaborators, Affiliations
Observational Study

Development and Validation of a Self-Administered Multidimensional Prognostic Index to Predict Negative Health Outcomes in Community-Dwelling Persons

Alberto Pilotto et al. Rejuvenation Res. 2019 Aug.

Abstract

The multidimensional prognostic index (MPI) is a comprehensive geriatric assessment (CGA)-based tool that accurately predicts negative health outcomes in older subjects with different diseases and settings. To calculate the MPI several validated tools are assessed by health care professionals according to the CGA, whereas self-reported information by the patients is not available, but it could be of importance for the early identification of frailty. We aimed to develop and validate a self-administered MPI (SELFY-MPI) in community-dwelling subjects. For this reason, we enrolled 167 subjects (mean age = 67.3, range = 20-88 years, 51% = men). All subjects underwent a CGA-based assessment to calculate the MPI and the SELFY-MPI. The SELFY-MPI included the assessment of (1) basic and instrumental activities of daily living, (2) mobility, (3) memory, (4) nutrition, (5) comorbidity, (6) number of medications, and (7) socioeconomic situation. The Bland-Altman methodology was used to measure the agreement between MPI and SELFY-MPI. The mean MPI and SELFY-MPI values were 0.147 and 0.145, respectively. The mean difference was +0.002 ± standard deviation of 0.07. Lower and upper 95% limits of agreement were -0.135 and +0.139, respectively, with only 5 of 167 (3%) of observations outside the limits. Stratified analysis by age provided similar results for younger (≤65 years old, n = 45) and older subjects (>65 years, n = 122). The analysis of variances in subjects subdivided according to different year decades showed no differences of agreement according to age. In conclusion, the SELFY-MPI can be used as a prognostic tool in subjects of different ages.

Keywords: all-cause mortality; comprehensive geriatric assessment; multidimensional prognostic index; risk factor; self-assessment; socioeconomic analysis.

PubMed Disclaimer

Conflict of interest statement

No competing financial interests exist.

Figures

<b>FIG. 1.</b>
FIG. 1.
BAP of agreement between MPI and SELFY-MPI. BAP, Bland–Altman plot; MPI, multidimensional prognostic index; SELFY-MPI, self-administered MPI.
<b>FIG. 2.</b>
FIG. 2.
BAP of agreement between MPI and SELFY-MPI in people younger (A) and older (B) than 65 years.
<b>FIG. 3.</b>
FIG. 3.
Agreement between MPI and SELFY-MPI in subjects subdivided according to decades of age.
See this image and copyright information in PMC

References

    1. Siontis GC, Tzoulaki I, Ioannidis JP. Predicting death: An empirical evaluation of predictive tools for mortality. Arch Intern Med 2011;171:1721–1726 - PubMed
    1. Gill TM. The central role of prognosis in clinical decision making. JAMA 2012;307:199–200 - PMC - PubMed
    1. Pilotto A, Cella A, Pilotto A, et al. . Three decades of comprehensive geriatric assessment: Evidence coming from different healthcare settings and specific clinical conditions. J Am Med Dir Assoc 2017;18: 192.e1–192.e11 - PubMed
    1. Pilotto A, Sancarlo D, Panza F, et al. . Multidimensional Prognostic Index based on a comprehensive geriatric assessment predicts short-term mortality in older patients with heart failure. Circ Heart Fail 2010;3:191–199 - PMC - PubMed
    1. Yourman LC, Lee SJ, Schonberg MA, et al. . Prognostic indices for older adults: A systematic review. JAMA 2012;307:182–192 - PMC - PubMed

Publication types