» Articles » PMID: 31780413

The Multidimensional Prognostic Index Predicts Falls in Older People: An 8-Year Longitudinal Cohort Study of the Osteoarthritis Initiative

Overview
Publisher Elsevier
Specialty General Medicine
Date 2019 Nov 30
PMID 31780413
Citations 8
Authors
Affiliations
Soon will be listed here.
Abstract

Objectives: Falls are associated with several negative outcomes. Early identification of those who are at risk of falling is of importance in geriatrics, and comprehensive geriatric assessment (CGA) seems to be promising in this regard. Therefore, the present study investigated whether the multidimensional prognostic index (MPI), based on a standard CGA, is associated with falls in the Osteoarthritis Initiative (OAI).

Design: Longitudinal, 8 years of follow-up.

Setting And Participants: Community-dwelling older people (≥65 years of age) with knee osteoarthritis or at high risk for this condition.

Methods: A standardized CGA including information on functional, nutritional, mood, comorbidities, medications, quality of life, and cohabitation status was used to calculate a modified version of the MPI, categorized as MPI-1 (low), MPI-2 (moderate), and MPI-3 (high risk). Falls were self-reported and recurrent fallers were defined as ≥2 in the previous year. Logistic regression was carried out and results are reported as odds ratio (ORs) with their 95% confidence intervals (CIs).

Results: The final sample consisted of 885 older adults (mean age 71.3 years, female = 54.6%). Recurrent fallers showed a significant higher MPI than their counterparts (0.46 ± 0.17 vs 0.38 ± 0.16; P < .001). Compared with those in MPI-1 category, participants in MPI-2 (OR 2.13; 95% CI 1.53‒2.94; P < .001) and in MPI-3 (OR 5.98; 95% CI 3.29-10.86; P < .001) reported a significant higher risk of recurrent falls over the 8-years of follow-up. Similar results were evident when using an increase in 0.1 points in the MPI or risk of falls after 1 year.

Conclusions And Implications: Higher MPI values at baseline were associated with an increased risk of recurrent falls, suggesting the importance of CGA in predicting falls in older people.

Citing Articles

The impact of blood flow restriction training combined with low-load resistance training on the risk of falls in patients with knee osteoarthritis in China: a single-centre, two-arm, single-blind, parallel randomised controlled trial protocol.

Lin Q, Yu D, Lu T, Zhang Y, Chen X, Qin J BMJ Open. 2025; 15(3):e092689.

PMID: 40044206 PMC: 11883605. DOI: 10.1136/bmjopen-2024-092689.


Resilience improvement through a multicomponent physical and cognitive intervention for older people: the DanzArTe emotional well-being technology project.

Barbagelata M, Morganti W, Seminerio E, Camurri A, Ghisio S, Loro M Aging Clin Exp Res. 2024; 36(1):72.

PMID: 38488883 PMC: 10942916. DOI: 10.1007/s40520-023-02678-3.


Multidimensional frailty and quality of life: data from the English Longitudinal Study of Ageing.

Veronese N, Noale M, Cella A, Custodero C, Smith L, Barbagelata M Qual Life Res. 2022; 31(10):2985-2993.

PMID: 35579730 PMC: 9470717. DOI: 10.1007/s11136-022-03152-9.


Multidimensional prognostic index and the risk of fractures: an 8-year longitudinal cohort study in the Osteoarthritis Initiative.

Veronese N, Smith L, Zigoura E, Barbagallo M, Dominguez L, Barone A Arch Osteoporos. 2021; 17(1):5.

PMID: 34905117 PMC: 8669664. DOI: 10.1007/s11657-021-01015-3.


Validation and implementation of telephone-administered version of the Multidimensional Prognostic Index (TELE-MPI) for remote monitoring of community-dwelling older adults.

Custodero C, Senesi B, Pinna A, Floris A, Vigo M, Fama M Aging Clin Exp Res. 2021; 33(12):3363-3369.

PMID: 34002336 PMC: 8128686. DOI: 10.1007/s40520-021-01871-6.


References
1.
Sancarlo D, DOnofrio G, Franceschi M, Scarcelli C, Niro V, Addante F . Validation of a Modified-Multidimensional Prognostic Index (m-MPI) including the Mini Nutritional Assessment Short-Form (MNA-SF) for the prediction of one-year mortality in hospitalized elderly patients. J Nutr Health Aging. 2011; 15(3):169-73. PMC: 5003400. DOI: 10.1007/s12603-010-0293-5. View

2.
Pahor M . Falls in Older Adults: Prevention, Mortality, and Costs. JAMA. 2019; 321(21):2080-2081. DOI: 10.1001/jama.2019.6569. View

3.
Barry E, Galvin R, Keogh C, Horgan F, Fahey T . Is the Timed Up and Go test a useful predictor of risk of falls in community dwelling older adults: a systematic review and meta-analysis. BMC Geriatr. 2014; 14:14. PMC: 3924230. DOI: 10.1186/1471-2318-14-14. View

4.
Angleman S, Santoni G, Pilotto A, Fratiglioni L, Welmer A . Multidimensional Prognostic Index in Association with Future Mortality and Number of Hospital Days in a Population-Based Sample of Older Adults: Results of the EU Funded MPI_AGE Project. PLoS One. 2015; 10(7):e0133789. PMC: 4519042. DOI: 10.1371/journal.pone.0133789. View

5.
Washburn R, McAuley E, Katula J, Mihalko S, Boileau R . The physical activity scale for the elderly (PASE): evidence for validity. J Clin Epidemiol. 1999; 52(7):643-51. DOI: 10.1016/s0895-4356(99)00049-9. View