Effectiveness of a kinesio-taping-based treatment in stage IV sacral pressure ulcers in older patients: a pilot study.

OBJECTIVE: As reduced tissue vascularity is one of the mechanisms that prevent skin ulcers from healing, treatments that can improve local circulation could accelerate their clinical resolution. Given that kinesio-taping (KT) can improve tissue blood circulation and lymphatic drainage, we aimed to determine whether applying KT close to stage IV pressure ulcers (PUs) could improve their healing. METHOD: Older patients with stage IV sacral PUs, and impaired mobility and functional dependency who were consecutively admitted in a six-month period to the Home Care service of Galliera Hospital (Genoa, Italy) were screened for participation in this pilot clinical trial. Patients' PUs were divided into two treatment areas-in the experimental intervention, KT was applied close to a portion of the PU, while the contralateral portion of the same lesion was treated according to the standard protocol ('control'). The surface reduction of both portions was measured every four days, for a total of five examinations (timepoints (T2-T6) after the baseline evaluation (T1). RESULTS: A total of 12 patients (male=5, female=7; mean age 78.83±8.94 years) fulfilled the inclusion criteria and were enrolled in the study. At all timepoints (T2-T6), the mean percentage reduction was significantly greater in KT-treated areas than in control areas: T2=20.66% versus 6.17%, respectively; p<0.001; T3=37.33% versus 17.31%, respectively; p<0.001; T4=57.01% versus 30.06%, respectively; p<0.001; T5=69.04% versus 40.55%, respectively; p<0.001; and T6=80.34% versus 51.91%, respectively; p<0.001. Furthermore, from T3 onwards, a significantly higher number of KT-treated areas than control areas had halved in size, the maximum difference being recorded at T5 (10 versus two, respectively; p=0.002). CONCLUSION: From the findings of this pilot study, KT would seem to be an effective, rapid, low-cost therapy for advanced sacral PUs in older patients with impaired mobility and functional dependency. Declaration of interest: The authors have no conflicts of interest to declare.

Development and implementation of multicomponent homecare interventions for multimorbid and frail older people based on Information and Communication Technologies: The MULTIPLAT_AGE project.

The prevention and treatment of frailty condition among multimorbid older adults, in community and hospital settings, is becoming a healthcare priority. Growing evidence suggests that a multidimensional approach could help not only in the early identification of older patients' needs but also in designing personalized preventive interventions. However, in clinical practice, the effectiveness of such interventions is limited by a lack of continuity of care and poor compliance of patients. The widespread diffusion of the information and communication technology (ICT) could offer an excellent way to implement and monitor multidimensional and personalized interventions for multimorbid older adults. In this scenario, the MULTIPLAT_AGE, is a network project involving five research centers with the main objective to supply multidimensional interventions targeted to cognitive, motor, pharmacological, and functional domains including ICT-based: i) transitional care model from the hospital to a protected home area; ii) automatic home-care system to improve activities of daily living; iii) program to improve appropriate drug prescription in nursing-home residents; iv) tele-rehabilitation program to reduce the risk of falls and v) cognitive stimulation delivered by remote in older adults with neurological disorders. Each project is linked to the others by employing a shared online platform, in a perspective of technological-supplied multicomponent interventions according to the concept of "aging in place" as the best solution for the treatment and healthcare of older people. Here we describe the general framework of the MULTIPLAT_AGE, and we examine every single project, pointing out innovative aspects, and discussing the expected results.

The PRO-HOME Project. A multicomponent intervention for the protected discharge from the hospital of multimorbid and polytreated older individuals by using innovative technologies: A pilot study.

BACKGROUD: Discharge planning from the hospital of frail older patients is an important step to avoid inappropriate long-stay hospitalizations and to prevent the risks related to the prolonged hospitalization. In this frame, we developed an experimental trial-'PRO-HOME', a multicomponent programme of interventions for multimorbid and polytreated hospitalized older patients. AIM: The main aim of the study was to develop a protected discharge facility using a mini apartment equipped with advanced architectural and technological components to reduce the length of hospital stay of older participants (aged 65+ years old) admitted to the hospital for an acute event, deemed stable and dischargeable. MATERIALS AND METHODS: This is a pilot randomized controlled study, comparing 30 hospitalized participants included in a multidimensional, transitional care programme based on information and communication technologies to 30 patients in standard usual care until hospital discharge. RESULTS: We presented the study design of the PRO-HOME programme, including architectural and technological components, the enrolment procedures, the components of the intervention that is physical activity, cognitive training and life-style education and the evaluation method of the intervention based on the Comprehensive Geriatric Assessment to explore the changes in the individual domains that are target of the multicomponent intervention. CONCLUSIONS: The final results will suggest whether the PRO-HOME programme represents a useful and feasible intervention to reduce the length of hospital stay of multimorbid and polytreated hospitalized older patients and improve their physical and cognitive performances and overall quality of life. PATIENT OR PUBLIC CONTRIBUTION: Due to the characteristics of the population of interest of the PRO-HOME study, we involved in the study design and programme of the activities the participants enrolled in a previous smart home-based project named MoDiPro carried-out during a 3-year period. The elderly participants from the local population involved were asked, by means of focus groups, for feedback on their experience in MoDiPro, and their suggestions were integrated into the design phase of the current PRO-HOME project. The focus groups included open group interviews with a qualitative collection of the patients' feedback so that the participants could interact with each other.

The Role of Multidimensional Prognostic Index to Identify Hospitalized Older Adults with COVID-19 Who Can Benefit from Remdesivir Treatment: An Observational, Prospective, Multicenter Study.

BACKGROUND: Data regarding the importance of multidimensional frailty to guide clinical decision making for remdesivir use in older patients with coronavirus disease 2019 (COVID-19) are largely unexplored. OBJECTIVE: The aim of this research was to evaluate if the Multidimensional Prognostic Index (MPI), a multidimensional frailty tool based on the Comprehensive Geriatric Assessment (CGA), may help physicians in identifying older hospitalized patients affected by COVID-19 who might benefit from the use of remdesivir. METHODS: This was a multicenter, prospective study of older adults hospitalized for COVID-19 in 10 European hospitals, followed-up for 90 days after hospital discharge. A standardized CGA was performed at hospital admission and the MPI was calculated, with a final score ranging between 0 (lowest mortality risk) and 1 (highest mortality risk). We assessed survival with Cox regression, and the impact of remdesivir on mortality (overall and in hospital) with propensity score analysis, stratified by MPI = 0.50. RESULTS: Among 496 older adults hospitalized for COVID-19 (mean age 80 years, female 59.9%), 140 (28.2% of patients) were treated with remdesivir. During the 90 days of follow-up, 175 deaths were reported, 115 in hospital. Remdesivir treatment significantly reduced the risk of overall mortality (hazard ratio [HR] 0.54, 95% confidence interval CI 0.35-0.83 in the propensity score analysis) in the sample as whole. Stratifying the population, based on MPI score, the effect was observed only in less frail participants (HR 0.47, 95% CI 0.22-0.96 in propensity score analysis), but not in frailer subjects. In-hospital mortality was not influenced by remdesivir use. CONCLUSIONS: MPI could help to identify less frail older adults hospitalized for COVID-19 who could benefit more from remdesivir treatment in terms of long-term survival.

Can the Multidimensional Prognostic Index Improve the Identification of Older Hospitalized Patients with COVID-19 Likely to Benefit from Mechanical Ventilation? An Observational, Prospective, Multicenter Study.

OBJECTIVE: Data on prognostic tools for indicating mechanical ventilation in older people with COVID-19 are still limited. The aim of this research was to evaluate if the Multidimensional Prognostic Index (MPI), based on the Comprehensive Geriatric Assessment (CGA), may help physicians in identifying older hospitalized patients affected by COVID-19 who might benefit from mechanical ventilation. DESIGN: Longitudinal, multicenter study. SETTINGS AND PARTICIPANTS: 502 older people hospitalized for COVID-19 in 10 European hospitals. METHODS: MPI was calculated using 8 different domains typical of the CGA. A propensity score, Cox's regression analysis was used for assessing the impact of mechanical ventilation on rehospitalization/mortality for 90 days' follow-up, stratified by MPI = 0.50. The accuracy of MPI in predicting negative outcomes (ie, rehospitalization/mortality) was assessed using the area under the curve (AUC), and the discrimination with several indexes like the Net Reclassification Improvement (NRI) and the Integrated Discrimination Improvement (IDI). RESULTS: Among 502 older people hospitalized for COVID-19 (mean age: 80 years), 152 were treated with mechanical ventilation. In the propensity score analysis, during the 90-day follow-up period, there were 44 rehospitalizations and 95 deaths. Mechanical ventilation in patients with MPI values ≥ 0.50, indicating frailer participants, was associated with a higher risk of rehospitalization/mortality (hazard ratio 1.56, 95% CI 1.09-2.23), whereas in participants with MPI values < 0.50 this association was not significant. The accuracy of the model including age, sex, respiratory parameters, and MPI was good (AUC = 0.783) as confirmed by an NRI of 0.2756 (P < .001) and an IDI of 0.1858 (P < .001), suggesting a good discrimination of the model in predicting negative outcomes. CONCLUSIONS AND IMPLICATIONS: MPI could be useful for better individualizing older people hospitalized by COVID-19 who could benefit from mechanical ventilation.

Frailty trajectories in community-dwelling older adults during COVID-19 pandemic: The PRESTIGE study.

BACKGROUND: Frailty has been recognized as potential surrogate of biological age and relevant risk factor for COVID-19 severity. Thus, it is important to explore the frailty trajectories during COVID-19 pandemic and understand how COVID-19 directly and indirectly impacts on frailty condition. METHODS: We enrolled 217 community-dwelling older adults with available information on frailty condition as assessed by multidimensional frailty model both at baseline and at one-year follow-up using Multidimensional Prognostic Index (MPI) tools. Pre-frail/frail subjects were identified at baseline as those with MPI score >0.33 (MPI grades 2-3). Frailty worsening was defined by MPI difference between 12 months follow-up and baseline ≥0.1. Multivariable logistic regression was modelled to identify predictors of worsening of frailty condition. RESULTS: Frailer subjects at baseline (MPI grades 2-3 = 48.4%) were older, more frequently female and had higher rates of hospitalization and Sars-CoV-2 infection compared to robust ones (MPI grade 1). Having MPI grades 2-3 at baseline was associated with higher risk of further worsening of frailty condition (adjusted odd ratio (aOR): 13.60, 95% confidence interval (CI): 4.01-46.09), independently by age, gender and Sars-CoV-2 infection. Specifically, frail subjects without COVID-19 (aOR: 14.84, 95% CI: 4.26-51.74) as well as those with COVID-19 (aOR: 12.77, 95% CI: 2.66-61.40, p = 0.001) had significantly higher risk of worsening of frailty condition. CONCLUSIONS: Effects of COVID-19 pandemic among community-dwelling frailer individuals are far beyond the mere infection and disease, determining a significant deterioration of frailty status both in infected and non-infected subjects.

Validation of Abbreviated Form of the Multidimensional Prognostic Index (MPI): The BRIEF-MPI Project.

Purpose: To screen multidimensional frailty in older people, using a comprehensive geriatric assessment (CGA) tool such as the multidimensional prognostic index (MPI), is a public health priority. Unfortunately, the screening tools available are not able to capture multidimensional frailty. In this work, we aimed to evaluate in a population of hospitalized and ambulatory older patients, the agreement between an abbreviated form of the MPI (ie, BRIEF-MPI) and the standard/full version. Participants and Methods: All participants included in the study completed both versions of the MPI, brief and full, which share the following domains: 1) basic and 2) instrumental activities of daily living, 3) mobility/risk of pressure sores, 4) cognition, 5) nutrition, 6) comorbidity, 7) social and 8) number of medications. The agreement between the two instruments was reported using either the mean comparisons with a t-test matched sample, a simple correlation analysis and the Bland-Altman methodology. Results: The study sample included 110 participants (mean age=83.2 years, 51.8% women). The mean difference was statistically and clinically irrelevant (mean difference=0.01±0.10; p=0.27). The correlation between brief and full MPI versions was optimal (R=0.82, p<0.0001). Using the Bland-Altman methodology, we observed that only three participants over 110 (=2.73%) were outside the limits of agreement. The accuracy of BRIEF-MPI in predicting multidimensional frailty, as full MPI>0.66, was optimal (area under the curve=0.92, p<0.0001). A BRIEF-MPI value of 0.59 yielded the highest sensitivity and specificity in predicting multidimensional frailty. Conclusion: BRIEF-MPI had a good agreement with the full/standard version of the MPI, making this tool as ideal for the screening of multidimensional frailty in older people.

Comprehensive geriatric assessment in older people: an umbrella review of health outcomes.

BACKGROUND: Comprehensive geriatric assessment (CGA) has been in use for the last three decades. However, some doubts remain regarding its clinical use. Therefore, we aimed to capture the breadth of outcomes reported and assess the strength of evidence of the use of comprehensive geriatric assessment (CGA) for health outcomes in older persons. METHODS: Umbrella review of systematic reviews of the use of CGA in older adults searching in Pubmed, Embase, Scopus, Cochrane library and CINHAL until 05 November 2021. All possible health outcomes were eligible. Two independent reviewers extracted key data. The grading of evidence was carried out using the GRADE for intervention studies, whilst data regarding systematic reviews were reported as narrative findings. RESULTS: Among 1,683 papers, 31 systematic reviews (19 with meta-analysis) were considered, including 279,744 subjects. Overall, 13/53 outcomes were statistically significant (P < 0.05). There was high certainty of evidence that CGA reduces nursing home admission (risk ratio [RR] = 0.86; 95% confidence interval [CI]: 0.75-0.89), risk of falls (RR = 0.51; 95%CI: 0.29-0.89), and pressure sores (RR = 0.46; 95%CI: 0.24-0.89) in hospital medical setting; decreases the risk of delirium (OR = 0.71; 95%CI: 0.54-0.92) in hip fracture; decreases the risk of physical frailty in community-dwelling older adults (RR = 0.77; 95%CI: 0.64-0.93). Systematic reviews without meta-analysis indicate that CGA improves clinical outcomes in oncology, haematology, and in emergency department. CONCLUSIONS: CGA seems to be beneficial in the hospital medical setting for multiple health outcomes, with a high certainty of evidence. The evidence of benefits is less strong for the use of CGA in other 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.

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.

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.

Impact of the chronic disease self-management program (CDSMP) on self-perceived frailty condition: the EU-EFFICHRONIC project.

INTRODUCTION: The Chronic Disease Self-Management Program (CDSMP) improves self-efficacy and health outcomes in people with chronic diseases. In the context of the EFFICHRONIC project, we evaluated the efficacy of CDSMP in relieving frailty, as assessed by the self-administered version of Multidimensional Prognostic Index (SELFY-MPI), identifying also potential predictors of better response over 6-month follow-up. METHODS: The SELFY-MPI explores mobility, basal and instrumental activities of daily living (Barthel mobility, ADL, IADL), cognition (Test Your Memory-TYM Test), nutrition (Mini Nutritional Assessment-Short Form-MNA-SF), comorbidities, medications, and socio-economic conditions (social-familiar evaluation scale-SFES). Participants were stratified in three groups according to the 6-month change of SELFY-MPI: those who improved after CDSMP (Δ SELFY-MPI < 0), those who remained unchanged (Δ SELFY-MPI = 0), and those who worsened (Δ SELFY-MPI > 0). Multivariable logistic regression was modeled to identify predictors of SELFY-MPI improvement. RESULTS: Among 270 participants (mean age = 61.45 years, range = 26-93 years; females = 78.1%) a benefit from CDSMP intervention, in terms of decrease in the SELFY-MPI score, was observed in 32.6% of subjects. SELFY-MPI improvement was found in participants with higher number of comorbidities (1-2 chronic diseases: adjusted odd ratio (aOR)=2.38, 95% confidence interval (CI) =1.01, 5.58; ⩾ 3 chronic diseases: aOR = 3.34, 95% CI = 1.25, 8.90 vs no chronic disease), poorer cognitive performance (TYM ⩽ 42: aOR = 2.41, 95% CI = 1.12, 5.19 vs TYM > 42) or higher risk of malnutrition (MNA-SF ⩽ 11: aOR = 6.11, 95% CI = 3.15, 11.83 vs MNA-SF > 11). CONCLUSION: These findings suggest that the CDSMP intervention contributes to decreasing the self-perceived severity of frailty (SELFY-MPI score) in more vulnerable participants with several chronic diseases and lower cognitive performance and nutritional status.

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.

The multidimensional prognostic index (MPI) for the prognostic stratification of older inpatients with COVID-19: A multicenter prospective observational cohort study.

BACKGROUND: The topic of prognosis in COVID-19 research may be important in adopting appropriate clinical decisions. Multidimensional prognostic index (MPI) is a frailty assessment tool widely used for stratifying prognosis in older people, but data regarding inpatients, affected by COVID-19, are not available. OBJECTIVES: To evaluate whether MPI can predict in-hospital mortality and the admission to intensive care unit (ICU) in older inpatients hospitalized for COVID-19 infection. METHODS: In this longitudinal, Italian, multi-center study, older patients with COVID-19 were included. MPI was calculated using eight different domains typical of comprehensive geriatric assessment and categorized in three groups (MPI 1 ≤ 0.33, MPI 2 0.34-0.66, MPI 3 > 0.66). A multivariable Cox's regression analysis was used reporting the results as hazard ratios (HRs) with 95% confidence intervals (CIs). RESULTS: 227 older patients hospitalized for SARS-CoV-2 infection were enrolled (mean age: 80.5 years, 59% females). Inpatients in the MPI 3 were subjected less frequently than those in the MPI 1 to non-invasive ventilation (NIV). In the multivariable analysis, people in MPI 3 experienced a higher risk of in hospital mortality (HR = 6.30, 95%CI: 1.44-27.61), compared to MPI 1. The accuracy of MPI in predicting in hospital mortality was good (Area Under the Curve (AUC) = 0.76, 95%CI: 0.68-0.83). People in MPI 3 experienced a significant longer length of stay (LOS) in hospital compared to other participants. No association between MPI and ICU admission was found. CONCLUSIONS: Frailty- as assessed by high MPI score - was associated with a significant higher risk of in-hospital mortality, longer LOS, and lower use NIV, whilst the association with ICU admission was not significant. These findings suggest that prognostic stratification by using the MPI could be useful in clinical decision making in older inpatients affected by COVID-19.

Multidimensional prognostic index (MPI) predicts non-invasive ventilation failure in older adults with acute respiratory failure.

BACKGROUND: Acute respiratory failure (ARF) is a very common complication among hospitalized older adults. Non-invasive ventilation (NIV) may avoid admission to intensive care units, intubation and their related complication, but still lacks specific indications in older adults. Multidimensional Prognostic Index (MPI) based on comprehensive geriatric assessment (CGA) could have a role in defining the short-term prognosis and the best candidates for NIV among older adults with ARF. METHODS: This is a retrospective observational study which enrolled patients older than 70 years, consecutively admitted to an acute geriatric unit with ARF. A standardized CGA was used to calculate the MPI at admission. Multivariate Cox regression models were used to test if MPI score could predict in-hospital mortality and NIV failure. Receiver operator curve (ROC) analysis was used to identify the discriminatory power of MPI for NIV failure. RESULTS: We enrolled 231 patients (88.2 ± 5.9 years, 47% females). Mean MPI at admission was 0.76±0.16. In-hospital mortality rate was 33.8%, with similar incidence in patients treated with and without NIV. Among NIV users (26.4%), NIV failure occurred in 39.3%. Higher MPI scores at admission significantly predicted in-hospital mortality (ß=4.46, p<0.0001) among patients with ARF and NIV failure (ß=7.82, p = 0.001) among NIV users. MPI showed good discriminatory power for NIV failure (area under the curve: 0.72, 95% CI: 0.58-0.85, p<0.001) with optimal cut-off at MPI value of 0.84. CONCLUSIONS: MPI at admission might be a useful tool to early detect patients more at risk of in-hospital death and NIV failure among older adults with ARF.

"Ageism" Is Associated With Self-Reported Multidimensional Frailty in Community-Dwelling Older Subjects: A Population-Based Study.

Ageism is a stereotyping, prejudice and discrimination against people, based on age. Ageism may impact the quality of life and the care of older people, a problem that can be greater when the older person is "frail." However, few studies explored the role of frailty as a factor related to ageism. The aim of this study was to assess the association between perceived age discrimination (PAD), i.e., ageism, and multidimensional frailty in a cohort of community-dwelling older adults. We enrolled 1,337 community-dwelling subjects over-65 years that filled out a structured questionnaire to collect psycho-socio-economic and behavioral information. Multidimensional frailty was assessed by the SELFY-Multidimensional Prognostic Index Short-Form (SELFY-MPI-SF). PAD, over the past 5 years, was assessed based on explicit criteria. Overall, 83 out of 1,337 participants (6.2%) reported PAD. These subjects were older, more frequently women, with greater economic difficulties, lower level of cultural fruition, social network and psychological well-being, and a greater degree of frailty compared to their counterparts. After adjustment for age and gender, multidimensional frailty (SELFY-MPI-SF score) and negative affectivity were the two only "predictors" significantly associated with PAD (SELFY -MPI-SF, Odds Ratio: 1.19, 95%CI: 1.029-1.370; PANAS negative: Odds Ratio: 1.06, 95%CI: 1.033-1.099). In conclusion, self-reported frailty and negative affectivity are independently associated with PAD in community-dwelling older people. Interventions to prevent and treat frailty could be useful to reduce ageism and improve the well-being of the older people.

Association Between the Multidimensional Prognostic Index and Mortality During 15 Years of Follow-up in the InCHIANTI Study.

BACKGROUND: Multidimensional Prognostic Index (MPI) is recognized as a 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 during 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 area under the curve (AUC), with 95% confidence intervals (CIs) and the C-index. We also reported the median survival time by standard age groups. RESULTS: All 1453 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-risk MPI 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 moderate- and high-risk groups survived 2.9-7.0 years less and 4.3-8.9 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.

Development and validation of a robotic multifactorial fall-risk predictive model: A one-year prospective study in community-dwelling older adults.

BACKGROUND: Falls in the elderly are a major public health concern because of their high incidence, the involvement of many risk factors, the considerable post-fall morbidity and mortality, and the health-related and social costs. Given that many falls are preventable, the early identification of older adults at risk of falling is crucial in order to develop tailored interventions to prevent such falls. To date, however, the fall-risk assessment tools currently used in the elderly have not shown sufficiently high predictive validity to distinguish between subjects at high and low fall risk. Consequently, predicting the risk of falling remains an unsolved issue in geriatric medicine. This one-year prospective study aims to develop and validate, by means of a cross-validation method, a multifactorial fall-risk model based on clinical and robotic parameters in older adults. METHODS: Community-dwelling subjects aged ≥ 65 years were enrolled. At the baseline, all subjects were evaluated for history of falling and number of drugs taken daily, and their gait and balance were evaluated by means of the Timed "Up & Go" test (TUG), Gait Speed (GS), Short Physical Performance Battery (SPPB) and Performance-Oriented Mobility Assessment (POMA). They also underwent robotic assessment by means of the hunova robotic device to evaluate the various components of balance. All subjects were followed up for one-year and the number of falls was recorded. The models that best predicted falls-on the basis of: i) only clinical parameters; ii) only robotic parameters; iii) clinical plus robotic parameters-were identified by means of a cross-validation method. RESULTS: Of the 100 subjects initially enrolled, 96 (62 females, mean age 77.17±.49 years) completed the follow-up and were included. Within one year, 32 participants (33%) experienced at least one fall ("fallers"), while 64 (67%) did not ("non-fallers"). The best classifier model to emerge from cross-validated fall-risk estimation included eight clinical variables (age, sex, history of falling in the previous 12 months, TUG, Tinetti, SPPB, Low GS, number of drugs) and 20 robotic parameters, and displayed an area under the receiver operator characteristic (ROC) curve of 0.81 (95% CI: 0.72-0.90). Notably, the model that included only three of these clinical variables (age, history of falls and low GS) plus the robotic parameters showed similar accuracy (ROC AUC 0.80, 95% CI: 0.71-0.89). In comparison with the best classifier model that comprised only clinical parameters (ROC AUC: 0.67; 95% CI: 0.55-0.79), both models performed better in predicting fall risk, with an estimated Net Reclassification Improvement (NRI) of 0.30 and 0.31 (p = 0.02), respectively, and an estimated Integrated Discrimination Improvement (IDI) of 0.32 and 0.27 (p<0.001), respectively. The best model that comprised only robotic parameters (the 20 parameters identified in the final model) achieved a better performance than the clinical parameters alone, but worse than the combination of both clinical and robotic variables (ROC AUC: 0.73, 95% CI 0.63-0.83). CONCLUSION: A multifactorial fall-risk assessment that includes clinical and hunova robotic variables significantly improves the accuracy of predicting the risk of falling in community-dwelling older people. Our data suggest that combining clinical and robotic assessments can more accurately identify older people at high risk of falls, thereby enabling personalized fall-prevention interventions to be undertaken.

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

OBJECTIVES: The multidimensional prognostic index (MPI) is a useful prognostic tool for evaluating adverse health outcomes in older individuals. However, the association between MPI and depressive symptoms has never been explored, despite depression being a common condition in older people. We therefore aimed to evaluate whether MPI may predict incident depressive symptoms. METHODS: Longitudinal, cohort study, with 2 years of follow-up (W1: October 2009-February 2011; W2: April 2012-January 2013), including people aged ≥65 years without depressive symptoms at baseline. A comprehensive geriatric assessment including information on functional, nutritional, cognitive status, mobility, comorbidities, medications, and cohabitation status was used to calculate the MPI dividing the participants into low, moderate, or severe risk. Those who scored ≥16/60 with the Center of Epidemiology Studies Depression (CES-D) tool were considered to have depressive symptoms. Multivariable logistic regression models were built to explore the association between MPI and incident depressive symptoms. RESULTS: The sample consisted of 1854 participants (mean age: 72.8 ± SD 5.1 years; females: 52.1%). The prevalence of incident depressive symptoms by MPI tertiles at baseline were: low 2.5%, moderate 3.9%, and severe 6.7%. In multivariable analyses, baseline MPI values were significantly associated with incident depressive symptoms (increase in 0.1 points in MPI: odds ratio, OR = 1.47; 95% confidence intervals, CI: 1.17-1.85; MPI tertile severe vs low: OR = 2.96; 95%CI: 1.50-5.85). CONCLUSION: Baseline MPI values were associated with incident depressive symptoms indicating that multidimensional assessment of older people may lead to early identification of individuals at increased risk of depression onset.

Agreement of a Short Form of the Self-Administered Multidimensional Prognostic Index (SELFY-MPI-SF): A Useful Tool for the Self-Assessment of Frailty in Community-Dwelling Older People.

BACKGROUND: The Multidimensional Prognostic Index (MPI) is a comprehensive geriatric assessment (CGA)-based tool that has shown excellent accuracy in predicting negative health outcomes in older people. Recently, the self-administered version of MPI (SELFY-MPI) has been validated in a community-dwelling sample, revealing excellent agreement with the original MPI. In the SELFY-MPI, Gijon's social-familial evaluation scale (SFES) was used to assess socio-relational and economic aspects. Completion of the SELFY-MPI, however, requires a significant amount of time in people aged over 60 years, particularly to fill in the SFES scale. The aim of this study was to validate, in a sample of community-dwelling older people, a short-form version of the SELFY-MPI (SELFY-MPI-SF), in which the SFES scale was replaced by the "co-habitation status" domain, as in the original version of the MPI. METHODS: All participants included in the study completed both versions of the self-administered MPI, which share the following seven domains: 1) basic and 2) instrumental activities of daily living, 3) mobility, 4) cognition, 5) nutrition, 6) comorbidity, and 7) number of medications. Moreover, in the SELFY-MPI-SF, the 8th domain "co-habitation status" (ie living alone, with family or in a residential facility) replaced the SFES scale. The Bland-Altman methodology was applied in order to measure the agreement between the two instruments. Finally, the time to complete the SFES scale and the question on co-habitation was measured. RESULTS: The final study sample was composed of 129 participants (mean age=76.8 years, range=65-93 years, 64.3% women) were enrolled. The mean SELFY-MPI and SELFY-MPI-SF values were 0.221±0.196 and 0.246± 0.188, respectively. The mean difference was clinically irrelevant (-0.025±0.058). None of the 129 observations showed values outside the established 5% limits of agreement. The agreement between SELFY-MPI and SELFY-MPI-SF was excellent (k=0.762; rho=0.924, p<0.0001 for both). Stratified analyses of agreement among subgroups of participants of different ages did not show any significant differences between the two versions. Completion of the SFES required about 7 mins, on average, while the question on habitation status required about 10 s. CONCLUSION: The SELFY-MPI-SF showed strong agreement and precision when compared with the standard SELFY-MPI in people aged 65 and older and can therefore be successfully used as a quicker self-administered frailty instrument in community-dwelling older people.