ArticleJournal of the American Medical Directors Association2020
The Multidimensional Prognostic Index Predicts Falls in Older People: An 8-Year Longitudinal Cohort Study of the Osteoarthritis Initiative.
Article in Journal of the American Medical Directors Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.
- Prevalence of multidimensional frailty and pre-frailty in older people in different settings: A systematic review and meta-analysis.Ageing research reviews · 2021Pooled it
- Article
- Resilience improvement through a multicomponent physical and cognitive intervention for older people: the DanzArTe emotional well-being technology project.Aging clinical and experimental research · 2024Article
- Multidimensional frailty and quality of life: data from the English Longitudinal Study of Ageing.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022Article
- Multidimensional prognostic index and the risk of fractures: an 8-year longitudinal cohort study in the Osteoarthritis Initiative.Archives of osteoporosis · 2021Article
- Validation and implementation of telephone-administered version of the Multidimensional Prognostic Index (TELE-MPI) for remote monitoring of community-dwelling older adults.Aging clinical and experimental research · 2021Article
- Association Between the Multidimensional Prognostic Index and Mortality During 15 Years of Follow-up in the InCHIANTI Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2021Article
- The challenge of the multifaceted prognosis in the older people and the Multidimensional Prognostic Index.European geriatric medicine · 2021Article
- A multidimensional approach to frailty in older people.Ageing research reviews · 2020Review
- Using the Multidimensional Prognostic Index (MPI) to improve cost-effectiveness of interventions in multimorbid frail older persons: results and final recommendations from the MPI_AGE European Project.Aging clinical and experimental research · 2020Review
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Authors and funding
12 authors at 4 institutions in 2 countries.
Funding
Abstract
objectivesFalls 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).
designLongitudinal, 8 years of follow-up. SETTING AND
participantsCommunity-dwelling older people (≥65 years of age) with knee osteoarthritis or at high risk for this condition.
methodsA 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).
resultsThe 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.
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