Relationship between multidimensional prognostic index and incident depressive symptoms in older people: Findings from the Irish Longitudinal Study on Ageing

Impact of frailty on mortality and healthcare costs and utilization among older adults in South Korea

Frailty has become increasingly relevant in a rapidly aging society, highlighting the need for its accurate identification and exploring associated clinical outcomes. Using a multidimensional framework to estimate frailty in a sample of community dwelling older adults, its effect on mortality, incurred healthcare costs and utilization were investigated. We obtained data from the 2008-2018 Korean Longitudinal Study of Aging (KLoSA). After excluding individuals aged < 65 years and those with missing data, a total of 3578 participants were included in our study. Cox proportional hazard analysis was conducted to investigate the impact of frailty on all-cause mortality by generating hazard ratios (HRs) and population attributable risks (PARs). Healthcare utilization and out-of-pocket costs incurred by frailty were examined using the Generalized Linear Mixed Model (GLMM). Subgroup analyses were conducted according to frailty components. Among 3578 older adults, 1052 individuals died during a 10-year follow up period. Compared to the low risk frailty group, the moderate risk group (HR: 1.52, 95% CI:1.37-1.69) and severe risk group (HR: 3.10, 95% CI: 2.55-3.77) had higher risks for all-cause mortality. 27.4% (95% CI: 19.0-35.3%) of all-cause mortality was attributable to frailty, and the PARs ranged from 0.5 to 22.6% for individual frailty components. Increasing frailty levels incurred higher total healthcare costs and cost per utilization, including inpatient and outpatient costs. Frailty also increased likelihood of inpatient use, longer length of stay and more frequent outpatient visits. Among the frailty components, Basic Activities of Daily Living (BADL) and Instrumental Activities of Daily Living (IADL) in particular were linked to elevated mortality, higher incurred healthcare costs and utilization. Frailty-tailored interventions are of utmost relevance to policy makers and primary caregivers as frailty threatens the ability to maintain independent living and increases risk of detrimental outcomes such as mortality and increased utilization and out-of-pocket costs of healthcare in older adults.

Biomarkers of aging in real life: three questions on aging and the comprehensive geriatric assessment

Measuring intrinsic, biological age is a central question in medicine, which scientists have been trying to answer for decades. Age manifests itself differently in different individuals, and chronological age often does not reflect such heterogeneity of health and function. We discuss here the value of measuring age and aging using the comprehensive geriatric assessment (CGA), cornerstone of geriatric medicine, and operationalized assessment tools for prognosis. Specifically, we review the benefits of employing the multidimensional prognostic index (MPI), which collects information about eight domains relevant for the global assessment of the older person (functional and cognitive status, nutrition, mobility and risk of pressure sores, multi-morbidity, polypharmacy, and co-habitation), in the evaluation of the functional status, and in the prediction of health outcomes for older adults. Further integration of biological markers of aging into multidimensional prognostic tools is warranted, as well as actions which could facilitate prognostic assessments for older persons in all healthcare settings.

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

Purpose

Frailty has been found to be associated with poor quality of life (QoL) in older people, but data available are limited to cross-sectional studies. We therefore aimed to assess the association between multidimensional frailty, determined by Multidimensional Prognostic Index (MPI), with mortality and good QoL expectancy (GQoLE) in a large representative sample of older adults, over 10 years of follow-up.

Methods

In the English Longitudinal Study of Ageing, using the data from 2004–2005 and 2014–2015, MPI was calculated using a weighted score of domains of comprehensive geriatric assessment, i.e., number of difficulties in activities of daily living (ADL) and instrumental ADL, depressive symptoms, number of medical conditions, body mass index, physical activity level, and social aspects. Mortality was assessed using administrative data, GQoLE indicators were used for longitudinal changes in QoL.

Results

6244 Participants (mean age 71.8 years, 44.5% males) were followed up for 10 years. After adjusting for potential confounders, compared to people in the MPI low-risk group, people in the moderate (hazard ratio, HR = 4.27; 95% confidence interval, CI 3.55–5.14) and severe-risk group (HR = 10.3; 95% CI 7.88–13.5) experienced a significantly higher mortality rate. During the follow-up period, people in the moderate and severe-risk groups reported lower GQoLE values than their counterparts, independently from age and gender.

Conclusions

Multidimensional frailty was associated with a higher risk of mortality and significantly lower GQoLE, suggesting that the multifactorial nature of frailty is associated not only with mortality, but also poor QoL.

Supplementary Information

The online version contains supplementary material available at 10.1007/s11136-022-03152-9.

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

In this longitudinal study, with a follow-up of 8 years, multidimensional prognostic index (MPI), a product of the comprehensive geriatric assessment, significantly predicted the onset of fractures in older people affected by knee osteoarthritis.

PURPOSE

Frailty may be associated with higher fracture risk, but limited research has been carried out using a multidimensional approach to frailty assessment and diagnosis. The present research aimed to investigate whether the MPI, based on comprehensive geriatric assessment (CGA), is associated with the risk of fractures in the Osteoarthritis Initiative (OAI) study.

METHODS

Community-dwellers affected by knee OA or at high risk for this condition were followed-up for 8 years. A standardized CGA including information on functional, nutritional, mood, comorbidity, medication, quality of life, and co-habitation status was used to calculate the MPI. Fractures were diagnosed using self-reported information. Cox's regression analysis was carried out and results are reported as hazard ratios (HRs), with their 95% confidence intervals (CIs), adjusted for potential confounders.

RESULTS

The sample consisted of 4024 individuals (mean age 61.0 years, females = 59.0%). People with incident fractures had a significant higher MPI baseline value than those without (0.42 ± 0.18 vs. 0.40 ± 0.17). After adjusting for several potential confounders, people with an MPI over 0.66 (HR = 1.49; 95%CI: 1.11-2.00) experienced a higher risk of fractures. An increase in 0.10 point in MPI score corresponded to an increase in fracture risk of 4% (HR = 1.04; 95%CI: 1.008-1.07). Higher MPI values were also associated with a higher risk of non-vertebral clinical fractures.

CONCLUSION

Higher MPI values at baseline were associated with an increased risk of fractures, reinforcing the importance of CGA in predicting fractures in older people affected by knee OA.

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

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 telephone-based 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.

Prevalence of multidimensional frailty and pre-frailty in older people in different settings: A systematic review and meta-analysis

Frailty is a common condition in older people. The epidemiological data available, however, are mainly based on the physical frailty phenotype. An extensive literature has suggested that frailty should be identified using a multidimensional approach. Based on these recommendations, we estimated the prevalence of frailty and pre-frailty in the older population, using the multidimensional prognostic index (MPI), a common tool for defining multidimensional frailty. We searched several databases until 10th May 2021 for studies reporting the prevalence of frailty according to MPI values. MPI was categorized, where possible, in < 0.33 (robustness), 0.33-0.66 (pre-frailty) and > 0.66 (frailty) or using a RECursive Partition and AMalgamation approach. A meta-analysis of the prevalence, with the correspondent 95% confidence intervals (CIs) of pre-frailty and frailty was performed stratified by setting (population-based, ambulatory, nursing home, and hospital). Among 177 papers initially screened, we included 57 studies for a total of 56,407 older people. The mean age was 78.6 years, with a slight prevalence of women (58%). The overall prevalence of multidimensional frailty (MPI-3) was 26.8% (95%CI: 22.1-31.5), being higher in nursing home setting (51.5%) and lower in population-based studies (13.3%). The prevalence of pre-frailty (MPI-2) was 36.4% (95%CI: 33.1-39.7), being higher in hospital setting (39.3%) and lower in nursing home (20%). In conclusion, frailty and pre-frailty, according to a multidimensional definition, are common in older people affecting, respectively, one person over four and one over three. Our work further strengths the importance of screening frailty in older people using a multidimensional approach.

Multidimensional Frailty Predicts Mortality Better than Physical Frailty in Community-Dwelling Older People: A Five-Year Longitudinal Cohort Study

Frailty is a common syndrome in older people that carries an increased risk of mortality. Two main models describe frailty, either as a loss of physical functions or as an accumulation of multiple deficits. The aim of our study was to compare the physical frailty index developed in the Cardiovascular Health Study (CHS) with a multidimensional frailty tool, the Multidimensional Prognostic Index (MPI), in predicting death in community-dwelling older subjects. Four hundred and seven community-dwelling older subjects were enrolled. Each subject underwent a comprehensive geriatric assessment (CGA) with calculation of the MPI and CHS index. Mortality was recorded over the following 5 years. In the overall sample (mean age of 77.9 ± 4.5 years; 51.6% female), 53 subjects (13%) died during the 5-year follow-up period. Both the MPI and CHS index were able to predict mortality; however, the MPI was significantly more accurate than the CHS index in predicting mortality (C-index = 0.69 and 0.59, respectively; p < 0.001), with a statistically significant difference of 10%. In conclusion, multidimensional frailty, assessed by the MPI, predicts five-year mortality in community-dwelling older people better than physical frailty, as assessed by the CHS index. These findings suggest the usefulness of assessing frailty by means of CGA-based tools to predict relevant health-negative outcomes in older people.

Multidimensional frailty increases cardiovascular risk in older people: An 8-year longitudinal cohort study in the Osteoarthritis Initiative

BACKGROUND

Cardiovascular diseases (CVDs) are the most important cause of mortality and an important cause of disability. Frailty seems to be associated with higher cardiovascular risk, but limited research has been done using a multidimensional approach to frailty. Thus, the present study aimed to investigate whether the multidimensional prognostic index (MPI), based on comprehensive geriatric assessment (CGA), is associated with CVD risk in the Osteoarthritis Initiative (OAI) study.

METHODS

Community-dwellers affected by knee OA or at high risk for this condition were followed for 8 years. A standardized CGA including information on functional, nutritional, mood, comorbidities, medications, quality of life and co-habitation status was used to calculate a modified version of the MPI (range 0-1), with higher scores representing greater risk of mortality. CVDs were recorded using self-reported information. Logistic regression analyses, adjusting for potential confounders, were conducted.

RESULTS

The final sample consisted of 4211 individuals (mean age 60.8 years, females = 58.6%). People with incident CVD had a significant higher baseline MPI value than those without CVD (0.44 ± 0.17 vs. 0.39 ± 0.17). People with an MPI between 0.34 and 0.66 (OR = 1.31; 95%CI: 1.03-1.67) and over 0.66 (OR = 1.91; 95%CI: 1.26-2.89) experienced a higher risk of CVD (vs. MPI score < 0.34). A 0.10 points increase in the MPI score at baseline was associated with a 1.16 (95%CI: 1.09-1.24) times higher odds for incident CVD.

CONCLUSIONS AND IMPLICATIONS

Higher MPI values at baseline were associated with an increased risk of CVD, reinforcing the importance of CGA in predicting CVD risk in older people.