JOURNAL ARTICLE

Development and validation of a Multidimensional Prognostic Index for mortality based on a standardized Multidimensional Assessment Schedule (MPI-SVaMA) in community-dwelling older subjects

Alberto Pilotto, Pietro Gallina, Andrea Fontana, Daniele Sancarlo, Salvatore Bazzano, Massimiliano Copetti, Stefania Maggi, Giulia Paroni, Francesco Marcato, Fabio Pellegrini, Daniele Donato, Luigi Ferrucci
Journal of the American Medical Directors Association 2013, 14 (4): 287-92
23402948

OBJECTIVES: To develop and validate a Multidimensional Prognostic Index (MPI) for mortality based on information collected by the Multidimensional Assessment Schedule (SVaMA), the recommended standard tool for multidimensional assessment of community-dwelling older subjects in seven Italian regions.

DESIGN: Prospective cohort study.

PARTICIPANTS: Community-dwelling subjects older than 65 years who underwent an SVaMA evaluation from 2004 to 2010 in Padova Health District, Veneto, Italy.

MEASUREMENTS: The MPI-SVaMA was calculated as a weighted (weights were derived from multivariate Cox regressions) linear combination of the following nine domains: age, sex, main diagnosis, and six scores, ie, the Short Portable Mental Status Questionnaire, the Barthel index (contains two domains: activities of daily living and mobility), the Exton-Smith scale, the Nursing Care Needs, and the Social Network Support by a structured interview. Subjects were followed for a median of 2 years; those who had not died were followed for at least 1 year. The MPI-SVaMA score ranged from 0 to 1 and 3 grades of severity of the MPI-SVaMA were calculated on the basis of estimated cutoffs. Discriminatory power and calibration were further assessed.

RESULTS: A total of 12,020 subjects (mean age 81.84 ± 7.97 years) were included. Two random cohorts were selected: (1) a development cohort, ie, 7876 subjects (mean age 81.79 ± 8.05, %females: 63.1) and (2) a validation cohort, ie, 4144 subjects (mean age: 81.95 ± 7.83, %females: 63.7). The discriminatory power for mortality of MPI-SVaMA was 0.828 (95% CI 0.817-0.838) and 0.832 (95% CI 0.818-0.845) at 1 month and 0.791 (95% CI 0.784-0.798) and 0.792 (95% CI 0.783-0.802) at 1 year in development and validation cohorts, respectively. MPI-SVaMA results were well calibrated showing lower than 10% differences between predicted and observed mortality, both in development and validation cohorts.

CONCLUSIONS: The MPI-SVaMA is an accurate and well-calibrated prognostic tool for mortality in community-dwelling older subjects, and can be used in clinical decision making.

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