“…In contrast with previous evidence on MPI [ 12 ], in this cohort, both MPI and TELE-MPI did not show predictive accuracy for death and access to the emergency department, but this might be explained by limited sample size, relatively short follow-up, different type of setting and potentially by the effect itself of telemedicine program. Previous studies showed that standard MPI is also an independent predictor of depressive disorders and falls [ 28 , 29 ]. In the Irish Longitudinal Study on Ageing, carried out on 1,854 older adults followed-up over two years, higher baseline MPI values were significantly associated with incident depressive symptoms (highest MPI tertile vs. lowest: OR: 2.96; 95% CI 1.50–5.85) [ 28 ].…”
Section: Discussionmentioning
confidence: 99%
“…In the Irish Longitudinal Study on Ageing, carried out on 1,854 older adults followed-up over two years, higher baseline MPI values were significantly associated with incident depressive symptoms (highest MPI tertile vs. lowest: OR: 2.96; 95% CI 1.50–5.85) [ 28 ]. Evidence from Osteoarthritis Initiative study in 885 community-dwelling older people with knee osteoarthritis or at high risk for this condition showed that subjects in high-risk MPI category (MPI-3) had significantly higher risk of recurrent falls compared to those in MPI-1 category (OR: 5.98; 95% CI 3.29–10.86) during 8-year follow-up [ 29 ]. The present findings may suggest that the telephone-administered version of MPI could have similar efficacy of standard MPI tool in predicting risk of psychiatric disorders and falls.…”
Background During the recent lockdown measures adopted by national authorities to contain the COVID-19 pandemic, many vulnerable older patients with chronic conditions, normally followed in ambulatory setting, needed to be monitored and managed in alternative ways, including telemedicine. Aims In the framework of a telemedicine program, we aimed to validate and implement a telephone-administered version of the Multidimensional Prognostic Index (TELE-MPI) among community-dwelling older outpatients. Method From March 9 to May 11, 2020, 131 older patients (82.1 years; 74% females) were interviewed using a telephonebased survey to calculate the TELE-MPI. The standard MPI was performed face-to-face three months apart. The Bland-Altman methodology measured the agreement between the two tools. Multivariate logistic regression models were built to ascertain the prognostic value of TELE-MPI and TELE-MPI classes (low, moderate, or severe risk) on negative outcomes occurring during the lockdown period. Results Mean MPI and TELE-MPI values were 0.523 and 0.522, respectively. Lower and upper 95% limits of agreement were − 0.122 and + 0.124, respectively, with only 4.6% of observations outside the limits. Each 0.1 increase of TELE-MPI score was significantly correlated with higher incidence of psychiatric disorders [odd ratio (OR): 1.57; 95% confidence interval (CI) 1.27, 1.95] and falls (OR: 1.41; 95% CI 1.08, 1.82) in community-dwelling-older adults. Discussion TELE-MPI showed a strong agreement with the standard MPI and was able to predict psychiatric disorders and falls during lockdown period. Conclusion TELE-MPI may represent a useful way to follow by remote the health status of older adults.
“…In contrast with previous evidence on MPI [ 12 ], in this cohort, both MPI and TELE-MPI did not show predictive accuracy for death and access to the emergency department, but this might be explained by limited sample size, relatively short follow-up, different type of setting and potentially by the effect itself of telemedicine program. Previous studies showed that standard MPI is also an independent predictor of depressive disorders and falls [ 28 , 29 ]. In the Irish Longitudinal Study on Ageing, carried out on 1,854 older adults followed-up over two years, higher baseline MPI values were significantly associated with incident depressive symptoms (highest MPI tertile vs. lowest: OR: 2.96; 95% CI 1.50–5.85) [ 28 ].…”
Section: Discussionmentioning
confidence: 99%
“…In the Irish Longitudinal Study on Ageing, carried out on 1,854 older adults followed-up over two years, higher baseline MPI values were significantly associated with incident depressive symptoms (highest MPI tertile vs. lowest: OR: 2.96; 95% CI 1.50–5.85) [ 28 ]. Evidence from Osteoarthritis Initiative study in 885 community-dwelling older people with knee osteoarthritis or at high risk for this condition showed that subjects in high-risk MPI category (MPI-3) had significantly higher risk of recurrent falls compared to those in MPI-1 category (OR: 5.98; 95% CI 3.29–10.86) during 8-year follow-up [ 29 ]. The present findings may suggest that the telephone-administered version of MPI could have similar efficacy of standard MPI tool in predicting risk of psychiatric disorders and falls.…”
Background During the recent lockdown measures adopted by national authorities to contain the COVID-19 pandemic, many vulnerable older patients with chronic conditions, normally followed in ambulatory setting, needed to be monitored and managed in alternative ways, including telemedicine. Aims In the framework of a telemedicine program, we aimed to validate and implement a telephone-administered version of the Multidimensional Prognostic Index (TELE-MPI) among community-dwelling older outpatients. Method From March 9 to May 11, 2020, 131 older patients (82.1 years; 74% females) were interviewed using a telephonebased survey to calculate the TELE-MPI. The standard MPI was performed face-to-face three months apart. The Bland-Altman methodology measured the agreement between the two tools. Multivariate logistic regression models were built to ascertain the prognostic value of TELE-MPI and TELE-MPI classes (low, moderate, or severe risk) on negative outcomes occurring during the lockdown period. Results Mean MPI and TELE-MPI values were 0.523 and 0.522, respectively. Lower and upper 95% limits of agreement were − 0.122 and + 0.124, respectively, with only 4.6% of observations outside the limits. Each 0.1 increase of TELE-MPI score was significantly correlated with higher incidence of psychiatric disorders [odd ratio (OR): 1.57; 95% confidence interval (CI) 1.27, 1.95] and falls (OR: 1.41; 95% CI 1.08, 1.82) in community-dwelling-older adults. Discussion TELE-MPI showed a strong agreement with the standard MPI and was able to predict psychiatric disorders and falls during lockdown period. Conclusion TELE-MPI may represent a useful way to follow by remote the health status of older adults.
“…To calculate the MPI from the data collected on the InCHIANTI study, we used a slightly modified version of the original MPI, namely, we used the MMSE and Charlson Comorbidity Index instead of the Short Portable Mental Status Questionnaire and the Cumulative Illness Rating Scale, respectively, which are included in the original version of the MPI. This approach was possible thanks to the "plasticity" of the MPI, that is, the capacity of the CGA-based MPI to maintain its prognostic properties even if derived from different tools (27,28). In this regard, values to define risks are specific for each population/setting and to the outcome of interest.…”
Background
Multidimensional Prognostic Index (MPI) is recognized as prognostic tool in hospitalized patients, but data on the value of MPI in community-dwelling older persons are limited. Using data from a representative cohort of community-dwelling persons, we tested the hypothesis that MPI explains mortality, over 15 years of follow-up.
Methods
A standardized comprehensive geriatric assessment was used to calculate the MPI and to categorize participants in low-, moderate-, and high-risk classes. The results were reported as hazard ratios (HRs) and the accuracy was evaluated with the AUC (area under the curve), with 95% confidence intervals (CIs) and the C-index. We also reported the median survival time by standard age groups.
Results
All 1,453 participants (mean age 68.9 years, women=55.8%) enrolled in the InCHIANTI study at baseline were included. Compared to low risk group, participants in moderate (HR=2.10; 95%CI: 1.73-2.55) and high MPI risk group (HR=4.94; 95%CI: 3.91-6.24) had significantly higher mortality risk. The C-index of the model containing age, sex, and MPI was 82.1, indicating a very good accuracy of this model in explaining mortality. Additionally, the time-dependent AUC indicated that the accuracy of the model incorporating MPI to age and sex was excellent (>85.0) during the whole follow-up period. Compared to participants in the low-risk MPI group across different age-groups, those in medium- and high-risk groups survived 2.9 to 7.0 years less and 4.3 to 8.9 years less, respectively.
Conclusions
In community-dwelling individuals, higher MPI values are associated with higher risk of all-cause mortality with a dose-response effect.
“…A modified MPI, including the mini nutritional assessment short-form (MNA-SF), showed similar degree of accuracy as the original MPI, but could be completed in around 20 min [ 6 ]. Other versions of the MPI have been developed and validated in large populations of community-dwelling older subjects who underwent a standard CGA to be admitted to public health facilities, i.e., homecare services or nursing homes [ 7 ] as well as in population-based cohorts of older subjects living at home or in an institution in Sweden [ 8 ], Italy [ 9 ], Ireland [ 10 ] and in the United States within the framework of the osteo-arthritis initiative (OAI) [ 11 ]. All these studies confirmed the accuracy of the MPI in predicting life expectancy [ 8 , 9 ] and the risk of hospitalization [ 8 ] during long periods of follow-up (from 12 to over 15 years) as well as the long-term risk of incident depression [ 10 ] and falls [ 11 ].…”
mentioning
confidence: 99%
“…Other versions of the MPI have been developed and validated in large populations of community-dwelling older subjects who underwent a standard CGA to be admitted to public health facilities, i.e., homecare services or nursing homes [ 7 ] as well as in population-based cohorts of older subjects living at home or in an institution in Sweden [ 8 ], Italy [ 9 ], Ireland [ 10 ] and in the United States within the framework of the osteo-arthritis initiative (OAI) [ 11 ]. All these studies confirmed the accuracy of the MPI in predicting life expectancy [ 8 , 9 ] and the risk of hospitalization [ 8 ] during long periods of follow-up (from 12 to over 15 years) as well as the long-term risk of incident depression [ 10 ] and falls [ 11 ]. Moreover, in the context of the EU co-funded project EFFICHRONIC a self-administered version of the MPI (SELFY_MPI) was developed and validated as screening tool for community-dwelling patients with chronic diseases (or their caregivers) candidate to be managed through a self-management program [ 12 , 13 ]; a short-form version of the SELFY_MPI was developed for older patients who attended an ambulatory visit by their general practitioners [ 14 ].…”
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.