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

BACKGROUND

Resilience is a crucial component of successful aging. However, which interventions might increase resilience in older adults is yet unclear.

AIMS

This study aims to assess the feasibility and the physical and psychological effects of a technology-based multicomponent dance movement intervention that includes physical, cognitive, and sensory activation in older people living in community-dwelling and nursing home.

METHODS

DanzArTe program consists of four sessions on a weekly basis, using a technological platform that integrates visual and auditory contents in real time. 122 participants (mean age = 76.3 ± 8.8 years, 91 females = 74.6%) from seven nursing homes and community-dwelling subjects were assessed, before and after the intervention, with the Resilience Scale-14 items (RES-14), the Multidimensional Prognostic Index (MPI), the Psychological General Well-Being Index (PGWBI-S), and the Client Satisfaction Questionnaire-8 (CSQ-8). Mann-Whitney and Wilcoxon signed-ranks tests were used for statistical analyses.

RESULTS

At baseline significant differences in MPI and RES-14 between community-dwelling and nursing home residents were observed (p < 0.001 for both analyses). After the intervention, resilience significantly increased in total sample (RES-14 mean T1 = 74.6 Vs. T2 = 75.7) and in the nursing home residents (RES-14 mean T1 = 68.1 Vs. T2 = 71.8). All participants showed high overall satisfaction for DanzArTe program (CSQ-8 mean = 23.9 ± 4.4). No differences in MPI and PGWBI-S were observed.

DISCUSSION

DanzArTe was a feasible intervention and high appreciated by all older adults. Nursing home residents revealed improvements in resilience after DanzArTe program.

CONCLUSION

The DanzArTe technology-based multi-component intervention may improve resilience in older people living in nursing homes.

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.

Multidimensional prognostic index predicts short- and long-term mortality and rehospitalizations in older patients with hip fracture

BACKGROUND

Multidimensional Prognostic Index (MPI), calculated on cognitive, functional, nutritional, social, pharmacological and comorbidity domains, strongly correlates with mortality in older patients. Hip fractures are a major health problem and are associated with adverse outcomes in those affected by frailty.

AIM

We aimed at evaluating whether MPI is a predictor of mortality and rehospitalization in hip fracture older patients.

METHODS

We investigated the associations of MPI with all-cause 3- and 6-month mortality and rehospitalization in 1259 older patients admitted for hip fracture surgical treatment and managed by an orthogeriatric team [age 85 years (65-109); male gender: 22%].

RESULTS

Overall mortality was 11,4%, 17% and 23,5% at 3, 6 and 12 months from surgery (rehospitalizations: 15, 24,5 and 35,7%). MPI was associated (p < 0.001) with 3-, 6- and 12- month mortality and readmissions; Kaplan-Meier estimate for rehospitalization and survival according to MPI risk classes confirmed these results. In multiple regression analyses these associations were independent (p < 0.05) of mortality and rehospitalization-associated factors not included in the MPI, such as gender, age and post-surgical complications. Similar MPI predictive value was observed in patients undergoing endoprosthesis or other surgeries. ROC analysis confirmed that MPI was a predictor (p < 0.001) of both 3- and 6- month mortality and rehospitalization.

CONCLUSIONS

In hip fracture older patients, MPI is a strong predictor of 3-, 6- and 12- months mortality and rehospitalization, independently of surgical treatment and post-surgical complications. Therefore, MPI should be considered a valid pre-surgical tool to identify patients with higher clinical risk of adverse outcomes.

The Multidimensional Prognostic Index Predicts Mortality in Older Outpatients with Cognitive Decline

Since the heterogeneity of the growing group of older outpatients with cognitive decline, it is challenging to evaluate survival rates in clinical shared decision making. The primary outcome was to determine whether the Multidimensional Prognostic Index (MPI) predicts mortality, whilst assessing the MPI distribution was considered secondary. This retrospective chart review included 311 outpatients aged ≥65 years and diagnosed with dementia or mild cognitive impairment (MCI). The MPI includes several domains of the comprehensive geriatric assessment (CGA). All characteristics and data to calculate the risk score and mortality data were extracted from administrative information in the database of the Alzheimer’s Center and medical records. The study population (mean age 76.8 years, men = 51.4%) was divided as follows: 34.1% belonged to MPI category 1, 52.1% to MPI category 2 and 13.8% to MPI category 3. Patients with dementia have a higher mean MPI risk score than patients with MCI (0.47 vs. 0.32; p < 0.001). The HRs and corresponding 95% CIs for mortality in patients in MPI categories 2 and 3 were 1.67 (0.81−3.45) and 3.80 (1.56−9.24) compared with MPI category 1, respectively. This study shows that the MPI predicts mortality in outpatients with cognitive decline.

Predictors of short- and long-term mortality among acutely admitted older patients: role of inflammation and frailty

BACKGROUND

Frailty, demographic and clinical variables linked to incident diseases (e.g., dehydration, inflammation) contribute to poor outcomes in older patients acutely hospitalized. Their predictivity on short-, intermediate- and long-term mortality in a comprehensive model has been scarcely investigated.

AIMS

To test the performance of a predictive tool considering frailty and inflammation as well as age, sex and impaired hydration status on 1-year mortality in acutely admitted older patients.

METHODS

Retrospective observational study including 529 medical patients (age 84.6 ± 7.3 years). At hospital admission, frailty was assessed by the Multidimensional Prognostic Index (MPI). The Glasgow Prognostic Score (GPS) was used to grade systemic inflammation. Serum osmolarity was calculated to assess hydration.

RESULTS

After adjusting for age, sex, GPS and osmolarity, the severe-risk MPI was a strong predictor for 1-year mortality (OR 4.133; 95% CI 2.273-7.516; p < 0.001). Age > 85 years, male sex, GPS-2 and serum osmolarity > 300 mOsm/L were independent predictors of mortality in the same multivariable model. The MPI alone showed a moderate discrimination power (AUC 0.678; 95% CI 0.628-0.729; p < 0.001) on 1-year mortality, which increased by 12.5% after the addition of the above predictors in the fully adjusted regression model (AUC 0.763; 95% CI 0.719-0.807; p < 0.001). The severe-risk MPI adjusted for the same factors was also an independent predictor of mortality after 60 and 180 days since hospital admission.

DISCUSSION

Inflammation and impaired hydration are potentially modifiable risk factors for severe outcomes in older acutely hospitalized patients. A model combining GPS, age, gender, and plasma osmolarity improved the accuracy of MPI at admission in predicting long-term mortality.

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.

Use of Multiprognostic Index Domain Scores, Clinical Data, and Machine Learning to Improve 12-Month Mortality Risk Prediction in Older Hospitalized Patients: Prospective Cohort Study

Background

The Multidimensional Prognostic Index (MPI) is an aggregate, comprehensive, geriatric assessment scoring system derived from eight domains that predict adverse outcomes, including 12-month mortality. However, the prediction accuracy of using the three MPI categories (mild, moderate, and severe risk) was relatively poor in a study of older hospitalized Australian patients. Prediction modeling using the component domains of the MPI together with additional clinical features and machine learning (ML) algorithms might improve prediction accuracy.

Objective

This study aims to assess whether the accuracy of prediction for 12-month mortality using logistic regression with maximum likelihood estimation (LR-MLE) with the 3-category MPI together with age and gender (feature set 1) can be improved with the addition of 10 clinical features (sodium, hemoglobin, albumin, creatinine, urea, urea-to-creatinine ratio, estimated glomerular filtration rate, C-reactive protein, BMI, and anticholinergic risk score; feature set 2) and the replacement of the 3-category MPI in feature sets 1 and 2 with the eight separate MPI domains (feature sets 3 and 4, respectively), and to assess the prediction accuracy of the ML algorithms using the same feature sets.

Methods

MPI and clinical features were collected from patients aged 65 years and above who were admitted to either the general medical or acute care of the elderly wards of a South Australian hospital between September 2015 and February 2017. The diagnostic accuracy of LR-MLE was assessed together with nine ML algorithms: decision trees, random forests, extreme gradient boosting (XGBoost), support-vector machines, naïve Bayes, K-nearest neighbors, ridge regression, logistic regression without regularization, and neural networks. A 70:30 training set:test set split of the data and a grid search of hyper-parameters with 10-fold cross-validation—was used during model training. The area under the curve was used as the primary measure of accuracy.

Results

A total of 737 patients (female: 370/737, 50.2%; male: 367/737, 49.8%) with a median age of 80 (IQR 72-86) years had complete MPI data recorded on admission and had completed the 12-month follow-up. The area under the receiver operating curve for LR-MLE was 0.632, 0.688, 0.738, and 0.757 for feature sets 1 to 4, respectively. The best overall accuracy for the nine ML algorithms was obtained using the XGBoost algorithm (0.635, 0.706, 0.756, and 0.757 for feature sets 1 to 4, respectively).

Conclusions

The use of MPI domains with LR-MLE considerably improved the prediction accuracy compared with that obtained using the traditional 3-category MPI. The XGBoost ML algorithm slightly improved accuracy compared with LR-MLE, and adding clinical data improved accuracy. These results build on previous work on the MPI and suggest that implementing risk scores based on MPI domains and clinical data by using ML prediction models can support clinical decision-making with respect to risk stratification for the follow-up care of older hospitalized patients.

Multidimensional Prognostic Index Predicts Clinical Outcome and Mortality in Hospitalised Older Patients with Diverticular Disease

INTRODUCTION

The Multidimensional Prognostic Index (MPI) is a validated tool for assessing mortality risk in hospitalised patients. We aimed to evaluate whether the MPI predicted mortality and the risk of developing diverticular disease (DD) complications in older patients.

METHODS

This is a multicentre study conducted in January 2016-March 2018. All patients with DD aged 65 years and older were included. Patients were stratified into three groups according to MPI groups (1, low risk; 2, moderate risk; 3, high risk). Risk of developing DD complications and mortality rate were assessed. Bivariate models were fitted.

RESULTS

One hundred hospitalised patients with DD (mean age 77.9 ± 10.6 years, 53 female patients) were included. Patients with higher MPI groups were more likely to develop DD complications. In particular, 12 (46.2%), 21 (52.5%), and 28 (82.4%) patients with complicated DD were distributed to the MPI 1, MPI 2, and MPI 3 groups (p = 0.0063), respectively. Two patients died in the MPI 1, 4 in the MPI 2, and 29 in the MPI 3 group, with mortality rates of 4.0 per 100 person-year (95% confidence interval [CI] 1.0-15.9), 5.6 (95% CI 2.1-15.0), and 89.2 (95% CI 62-130), respectively (log-rank test p < 0.001). In bivariate analysis, after adjustment for age >80 years, Charlson Comorbidity Index >4, DD complications, and the presence of thromboembolism, higher MPI group was independently associated with higher mortality. Those in the MPI 3 group experienced a greater risk of 1-year hospital readmission (p < 0.001).

CONCLUSION

MPI predicted mortality in patients with DD and also correlated with the risk of developing DD complications. Studies focussing on possible pathophysiological mechanisms between DD complications and MPI are needed.

Mortality and readmission risk can be predicted by the record-based Multidimensional Prognostic Index: a cohort study of medical inpatients older than 75 years

PURPOSE

To examine the predictive value of the record-based Multidimensional Prognostic Index (MPI) on mortality, readmission and length of hospital stay (LOS) among older medical inpatients.

METHODS

A cohort of medical inpatients aged ≥ 75 years was rated using the record-based MPI to assess frailty retrospectively. 90-day and 1-year mortality hazard ratios (HRs) were calculated in a sex- and age-adjusted Cox proportional hazards model. 30-day readmission relative risk (RR) estimates were calculated in a binary regression model with mortality as a competing risk. Discrimination was expressed by the area under the receiver operating characteristic (ROC) curve. Median LOS was calculated using the non-parametric Kruskal-Wallis one-way ANOVA.

RESULTS

In total, 1190 patients with a median age of 83 years were included. 50% were male. 335 patients (28%) were categorized as non-frail (MPI score 0.0-0.33), 522 (44%) moderately frail (MPI score 0.34-0.66) and 333 (28%) severely frail (MPI score 0.67-1.0). 90-day mortality HR was 7.4 (95% confidence interval (CI) 2.9-18.6, p < 0.001) for the moderately frail and 18.5 (95% CI 7.5-46.1, p < 0.001) for the severely frail compared with the non-frail. ROC area was 0.76 (95% CI 0.72-0.80). Similarly, 1-year mortality HR was 3.3 (95% CI 2.2-5.0, p < 0.001) for the moderately frail and 7.1 (95% CI 4.7-10.6, p < 0.001) for the severely frail. 30-day readmission RR was 2.1 (95% CI 1.5-2.9, p < 0.001) for the moderately frail and 1.8 (95% CI 1.3-2.6, p = 0.001) for the severely frail. LOS was significantly longer with increasing MPI score (p < 0.001).

CONCLUSION

The record-based MPI assessed at discharge predicts dose-dependent post-discharge mortality and readmission risk and is associated with LOS in older medical inpatients.

Using the Multidimensional Prognostic Index to Predict Clinical Outcomes of Hospitalized Older Persons: A Prospective, Multicenter, International Study

BACKGROUND

Multidimensional Prognostic Index (MPI) is useful as a prognostic tool in hospitalized older patients, but our knowledge is derived from retrospective studies. We therefore aimed to evaluate in a multicenter, longitudinal, cohort study whether the MPI at hospital admission is useful to identify groups with different mortality risk and whether MPI at discharge may predict institutionalization, rehospitalization, and use of home care services during 12 months.

METHODS

This longitudinal study, carried out between February 2015 and August 2017, included nine public hospitals in Europe and Australia. A standardized comprehensive geriatric assessment including information on functional, nutritional, cognitive status, risk of pressure sores, comorbidities, medications, and cohabitation status was used to calculate the MPI and to categorize participants in low, moderate, and severe risk of mortality. Data regarding mortality, institutionalization, rehospitalization, and use of home care services were recorded through administrative information.

RESULTS

Altogether, 1,140 hospitalized patients (mean age 84.1 years, women = 60.8%) were included. In the multivariable analysis, compared to patients with low risk group at admission, patients in moderate (odds ratio [OR] = 3.32; 95% CI: 1.79-6.17; p < .001) and severe risk (OR = 10.72, 95% CI: 5.70-20.18, p < .0001) groups were at higher risk of overall mortality. Among the 984 older patients with follow-up data available, those in the severe-risk group experienced a higher risk of overall mortality, institutionalization, rehospitalization, and access to home care services.

CONCLUSIONS

In this cohort of hospitalized older adults, higher MPI values are associated with higher mortality and other negative outcomes. Multidimensional assessment of older people admitted to hospital may facilitate appropriate clinical and postdischarge management.

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

MPI_AGE is a European Union co-funded research project aimed to use the Multidimensional Prognostic Index (MPI), a validated Comprehensive Geriatric Assessment (CGA)-based prognostic tool, to develop predictive rules that guide clinical and management decisions in older people in different European countries. A series of international studies performed in different settings have shown that the MPI is useful to predict mortality and risk of hospitalization in community-dwelling older subjects at population level. Furthermore, studies performed in older people who underwent a CGA before admission to a nursing home or receiving homecare services showed that the MPI successfully identified groups of persons who could benefit, in terms of reduced mortality, of specific therapies such as statins in diabetes mellitus and coronary artery disease, anticoagulants in atrial fibrillation and antidementia drugs in cognitive decline. A prospective trial carried out in nine hospitals in Europe and Australia demonstrated that the MPI was able to predict not only in-hospital and long-term mortality, but also institutionalization, re-hospitalization and receiving homecare services during the one-year follow-up after hospital discharge. The project also explored the association between MPI and mortality in hospitalized older patients in need of complex procedures such as transcatheter aortic valve implantation or enteral tube feeding. Evidence from these studies has prompted the MPI_AGE Investigators to formulate recommendations for healthcare providers, policy makers and the general population which may help to improve the cost-effectiveness of appropriate health care interventions for older patients.

Validation and Adaptation of the Multidimensional Prognostic Index in an Older Australian Cohort

BACKGROUND AND AIMS

The Multidimensional Prognostic Index (MPI), an objective and quantifiable tool based on the Comprehensive Geriatric Assessment, has been shown to predict adverse outcomes in European cohorts. We conducted a validation study of the original MPI, and of adapted versions that accounted for the use of specific drugs and cultural diversity in the assessment of cognition, in older Australians.

METHODS

The capacity of the MPI to predict 12-month mortality was assessed in 697 patients (median age: 80 years; interquartile range: 72-86) admitted to a metropolitan teaching hospital between September 2015 and February 2017.

RESULTS

In simple logistic regression analysis, the MPI was associated with 12-month mortality (Low risk: OR reference group; moderate risk: OR 2.50, 95% CI: 1.67-3.75; high risk: OR 4.24, 95% CI: 2.28-7.88). The area under the receiver operating characteristic curve (AUC) for the unadjusted MPI was 0.61 (0.57-0.65) and 0.64 (95% CI: 0.59-0.68) with age and sex adjusted. The adapted versions of the MPI did not significantly change the AUC of the original MPI.

CONCLUSION

The original and adapted MPI were strongly associated with 12-month mortality in an Australian cohort. However, the discriminatory performance was lower than that reported in European studies.

Older women are frailer, but less often die then men: a prospective study of older hospitalized people

OBJECTIVES

The association between frailty, mortality and sex is complex, but a limited literature is available on this topic, particularly for older hospitalized patients. Therefore, the objective of our study was to prospectively evaluate sex differences in frailty, assessed by the Multidimensional Prognostic Index (MPI) and mortality, institutionalization, and re-hospitalization in an international cohort of older people admitted to hospital.

STUDY DESIGN

We used data from nine public hospitals in Europe and Australia, to evaluate sex differences in mortality, frailty and the risk of institutionalization and re-hospitalization, during one year of follow-up.

MAIN OUTCOME MEASURES

People aged 65 years or more admitted to hospital for an acute medical condition or for a relapse of a chronic disease were included. A standardized comprehensive geriatric assessment, which evaluated functional, nutritional, and cognitive status, risk of pressure sores, comorbidities, medications and co-habitation status, was used to calculate the MPI to measure frailty in all hospitalized older people. Data regarding mortality, institutionalization and re-hospitalization were also recorded for one year.

RESULTS

Altogether, 1140 hospitalized patients (mean age = 84.2 years; 694 women = 60.9%) were included. The one-year mortality rate was 33.2%. In multivariate analysis, adjusted for age, MPI score, centre and diagnosis at baseline, although women had higher MPI scores than men, the latter had higher in-hospital (odds ratio, OR = 2.26; 95% confidence intervals, CI = 1.27-4.01) and one-year post-discharge mortality (OR = 2.04; 95%CI = 1.50-2.79). Furthermore, men were less frequently institutionalized in a care home than female patients (OR = 0.55; 95%CI: 0.34-0.91), but they were also more frequently re-hospitalized (OR = 1.42; 95%CI: 1.06-1.91) during the year after hospital discharge.

CONCLUSION

Older hospitalized men were less frail, but experienced higher in-hospital and one-year mortality than women. Women were admitted more frequently to nursing homes and experienced a lower risk of re-hospitalization. These findings suggest important differences between the sexes and extends the 'male-female health-survival paradox' to acutely ill patient groups.

A Web-Based Tool for a Complete Evaluation of Fragility in Senior Hiv+ Patients

BACKGROUND

after the discovery of the antiretroviral therapy, life expectancy of HIV+ patient has become longer and this meant that he would start ageing. International literature demonstrated that the HIV+ patient is more fragile than any other person of the same age and that doesn't present the viral infection.

OBJECTIVE

design, development and test of a new web-based instrument to allow the self-administration of the new questionnaire SELFY MPI created during the European project Effichronic. Materials &amp; Methods: between June and September 2018, a group of senior 50 HIV+ patients, was involved. The questionnaire SELFY MPI enables to collect data about quality of life and cognitive functions.

RESULTS

the developed web-instrument collects pseudo-anonymous data into the Liguria HIV Network database. The subsequent statistical analysis highlighted a correlation between the two outcomes of SELFY MPI and the laboratory exam's parameter TCD4+ and viral load.

CONCLUSIONS

the great potentiality of this instrument is not only the support given to clinical research about the effects of HIV on chronical disease management but it can be also used as a follow-up instrument to evaluate different aspects of the geriatric patient life during the years.

Effects of oral amino acid supplementation on Multidimensional Prognostic Index in hospitalized older patients: a multicenter randomized, double-blind, placebo-controlled pilot study

Background

It is not known whether amino acid supplementations may influence health status in hospitalized older acutely ill patients.

Aim

The aim of this study was to determine whether nutritional supplementation with amino acids (Aminoglutam^®) is associated with multidimensional improvement assessed with the Multidimensional Prognostic Index (MPI).

Methods

In this randomized, double-blind, placebo-controlled pilot clinical trial, 126 patients aged ≥65 years were enrolled from 6 Italian geriatric wards. A multidimensional assessment to calculate the MPI was performed at baseline and after 4 weeks of treatment with nutritional supplementation (96 kcal, 12 g amino acids, 0.18 g fat, 11.6 g carbohydrate, and vitamins B1, B6, and C) or placebo administered twice a day. Logistic regression modeling was applied to determine the effect of treatment on the improvement of MPI (vs no-change/worsening), adjusting for gender, age, and MPI at baseline. Treatment's interactions with age, gender, and MPI at baseline were tested adding the appropriate interaction parameter in the regression models.

Results

Of the 126 patients included, 117 patients (93%) completed the study. A significant improvement in the MPI score was detected in the overall population (mean difference post-pretreatment: -0.03, p=0.001), with no differences between active and placebo arms. Men in the amino acid supplementation group had a significantly higher rate of improvement in MPI (81%) compared to the placebo group (46%) (Fisher's exact test p=0.03). Adjusting for age, diagnosis, and MPI at baseline, amino acid treatment was shown to be associated with an improvement in MPI in men (OR=4.82, 95% confidence interval [CI]: 0.87-26.7) and not in women (OR=0.70, 95% CI: 0.27-1.81). The interaction effect between active treatment and gender was significant (p=0.04).

Conclusion

A 4-week amino acid supplementation improved the MPI significantly in hospitalized older male patients but not in female patients. Further studies are needed to confirm the gender effect of amino acid supplementation on MPI in older patients.

Performance of the Multidimensional Geriatric Assessment and Multidimensional Prognostic Index in predicting negative outcomes in older adults with cancer

The Multidimensional Geriatric Assessment (MGA) is currently used for assessing geriatric oncological patients, but a new prognostic index - the Multidimensional Prognostic Index (MPI) - has a demonstrated prognostic value in cancer patients too. The present work was designed to compare the MPI and MGA as predictors of 12-month mortality. 160 patients ≥70 years old with locally-advanced or metastatic solid cancers consecutively joining our Geriatric Oncology Program were administered a Comprehensive Geriatric Assessment to calculate their MGA and MPI scores.

SETTINGS

Geriatric Clinic, Geriatric Surgery Clinic, Medical Oncology Unit, Padova Hospital, Italy. Using Cohen's Kappa coefficient, there was a poor concordance between the MPI and MGA. Severe MPI being associated with a higher mortality risk than Frail in the MGA. The ROC curves indicated that the MPI had a greater discriminatory power for 12-month mortality than the MGA. In our population of elderly cancer patients, the MPI performed better than the MGA in predicting mortality. Further evidence from larger prospective trials is needed to establish whether other geriatric scales, such as the GDS and CIRS-SI, could enhance the value of prognostic indexes applied to elderly cancer patients.

The Multidimensional Prognostic Index predicts in-hospital length of stay in older patients: a multicentre prospective study

BACKGROUND

prediction of length of stay (LOS) may be useful to optimise care plans to reduce the negative outcomes related to hospitalisation.

OBJECTIVE

to evaluate whether the Multidimensional Prognostic Index (MPI), based on a Comprehensive Geriatric Assessment (CGA), may predict LOS in hospitalised older patients.

DESIGN

prospective multicentre cohort study.

SETTING

twenty Geriatrics Units.

PARTICIPANTS

patients aged 65 and older consecutively admitted to Geriatrics Units.

MEASUREMENT

at admission, the CGA-based MPI was calculated by using a validated algorithm that included information on basal and instrumental activities of daily living, cognitive status, nutritional status, the risk of pressures sores, co-morbidity, number of drugs and co-habitation status. According to validated cut-offs, subjects were divided into three groups of risk, i.e. MPI-1 low risk (value ≤0.33), MPI-2 moderate risk (value 0.34-0.66) and MPI-3 severe risk of mortality (value ≥0.67).

RESULTS

two thousand and thirty-three patients were included; 1,159 were women (57.0%). Age- and sex-adjusted mean LOS in patients divided according to the MPI grade was MPI-1 = 10.1 (95% CI 8.6-11.8), MPI-2 = 12.47 (95% CI 10.7-14.68) and MPI-3 = 13.41 (95% CI 11.5-15.7) days (P for trend <0.001). The overall accuracy of the MPI to predict LOS was good (C-statistic 0.74, 95% CI 0.72-0.76). Moreover, a statistically significant trend of LOS means was found even in patients stratified according to their International Classification of Diseases, 9th revision, Clinical Modification (ICD-9-CM) main diagnosis.

CONCLUSIONS

the MPI is an accurate predictor of LOS in older patients hospitalised with the most frequent diseases.