Change in the Multidimensional Prognostic Index Score During Hospitalization in Older Patients

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.

Older People Hospitalized for COVID-19: Prognostic Role of Multidimensional Prognostic Index and Other Prognostic Scores

During the SARS-CoV-2 pandemic, frailty and patients’ poor outcomes seem to be closely related. However, there is no clear indication of the significance of this connection and the most adequate risk index in clinical practice. In this study, we compared a short version of MPI (multidimensional prognostic index) and other two prognostic scores for COVID-19 as potential predictors of poor patient outcomes. The patients were consecutively enrolled in the hospital of Palermo for COVID-19. The accuracy of Brief-MPI, 4C score and COVID-GRAM score in points was evaluated using the area under the curve (AUC) with 95% CI, taking mortality or sub-ICU admission as outcome. The study included 112 participants (mean age 77.6, 55.4% males). During a mean of 16 days of hospitalization, Brief-MPI significantly increased by 0.03 ± 0.14 (p = 0.04), whilst COVID-GRAM did not. Brief-MPI, 4C score and COVID-GRAM scores had good accuracy in predicting negative outcomes (AUC > 0.70 for all three scores). Brief-MPI was significantly associated with an increased mortality/ICU admission risk, indicating the importance of multidimensional impairment in clinical decision-making with an accuracy similar to other prognostic scores commonly used in COVID-19 study, providing information regarding domains for which interventions can be proposed.

A Tailored Discharge Program Improves Frailty and Mood in Patients Undergoing Usual Rehabilitative Care: A Randomized Controlled Trial

OBJECTIVE

To investigate whether a tailored intersectoral discharge program (TIDP) impacts on multidimensional frailty, rehospitalization days, and patient-related outcome measures in older in-patients undergoing acute care and usual rehabilitative care.

DESIGN

Randomized controlled trial of TIDP vs usual rehabilitative care with a 6-month follow-up, 2019-2020, and historical control with a 6-month follow-up, 2016-2019.

SETTING AND PARTICIPANTS

Geriatric co-managed internal medicine ward of a metropolitan university hospital. One hundred-twelve multimorbid patients older than age 60 years were consecutively assessed for eligibility and inclusion (age ≥60 years, multimorbidity, admitted for treatment of acute disease, at least 2 geriatric syndromes requiring usual rehabilitative care, and able to consent) and signed informed consent, with 110 recruited and randomized to either TIDP or usual rehabilitative care. At discharge, 104 patients were alive in the intention-to-treat group, the 6-month follow-up was completed for 91 patients. A historical control group of 468 patients was included for comparison.

INTERVENTION

TIDP as intervention included contact with treating general practitioner to discuss the further treatment plan, a structured medical and lifestyle counseling to patients and caregivers at admission as well as a discharge program with internist, geriatrician, and general practitioner in shared decision making with patients.

METHODS

Fifty-four patients underwent TIDP, 53 patients underwent usual rehabilitative care only. Rehospitalization days at follow-up as primary endpoint; multidimensional frailty and prognosis (Multidimensional Prognostic Index, Geriatric Depression Scale, Rosenberg Self-Esteem Scale, quality of life, falls, mortality, home care service need, and need of long-term care at 1-, 3- and 6-month follow-up as secondary endpoints.

RESULTS

TIDP (median age 76.0 years, 56% female) showed significantly improved Multidimensional Prognostic Index scores at discharge compared with usual rehabilitative care (median age 78.5 years, 58% female) (0.43 vs 0.49, P = .011). Compared with usual rehabilitative care, TIDP improved self-confidence (Rosenberg Self-Esteem Scale 13.9 vs 12.4, P = .009) and mood (Geriatric Depression Scale 4 vs 5, P = .027) at follow-up. Compared with historical control (median age 77.0 years, 39 % female), usual rehabilitative care patients showed significantly lower rehospitalization rates (53% vs 70%, P = .002) and lower mortality rates (13% vs 32%, P < .001).

CONCLUSIONS AND IMPLICATIONS

A feasible TIDP improves frailty and mood in advanced age. In older patients undergoing potentially disabling acute treatments, usual rehabilitative care significantly reduces rehospitalization rates. Therefore, implementing geriatric treatment in general is useful to improve outcomes in older in-patients and a tailored discharge program can further increase the benefit for this frail population.

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.

Role of a multidimensional prognosis in-hospital monitoring for older patients with prolonged stay

OBJECTIVES

The Multidimensional Prognostic Index (MPI) is a prognostic tool-amongst others-validated for mortality, length of hospital stay (LHS) and rehospitalisation risk assessment. Like the Comprehensive Geriatric Assessment (CGA), the MPI is usually obtained at hospital admission and discharge, not during the hospital stay. The aim of the present study was to address the role of an additional CGA-based MPI measurement during hospitalisation as an indicator of "real-time" in-hospital changes.

STUDY DESIGN AND MAIN OUTCOME MEASURES

Two-hundred consecutive multimorbid patients (128 M, 72 F, median age 75 (78-82)) admitted to an internal medicine ward of a German metropolitan university hospital prospectively underwent a CGA and a prognosis calculation using the MPI on admission and discharge. Seven to 10 days later, an intermediate assessment (IA) was performed for patients needing a longer stay.

RESULTS

The median LHS was 10 (6-19) days. As expected, patients who received an IA had poorer prognosis as measured by higher MPI values (P = .037) and a worse functional status at admission than patients who had a shorter stay (P = .025). In case of prolonged hospitalisation, significant changes in the MPI were detected between admission and IA, both in terms of improvement and deterioration (P < .001). Different overtime courses were observed during prolonged hospitalisation according to the severity of prognosis (P < .001).

CONCLUSION

A CGA-based MPI evaluation during hospitalisation can be used as an objective instrument to detect changes in multidimensional health course. Prompt identification of the latter may enable quick tailored interventions to ensure overall better outcomes at and after discharge.

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.

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.

A multidimensional approach to frailty in older people

Frailty is an important factor determining a higher risk of adverse health outcomes in older adults. Although scientific community in the last two decades put a lot of effort for its definition, to date no consensus was reached on its assessment. The mainstream thinking describes frailty as a loss of physical functions or as accumulation of multiple deficits. Recently, a novel conceptual model of frailty has emerged based on the loss of harmonic interaction between multiple domains (also referred as dimensions) including genetic, biological, functional, cognitive, psychological and socio-economic domain that ultimately lead to homeostatic instability. Therefore, the multidimensional aspects of frailty condition could be captured by the comprehensive geriatric assessment (CGA) and its derived Multidimensional Prognostic Index (MPI). This instrument has been applied in different clinical settings and in several cohorts of older adults with specific acute and chronic diseases, showing always excellent accuracy in stratifying population according the mortality risk and other negative health outcomes, i.e. hospitalization, institutionalization or admission to homecare services. This MPI "plasticity" provides a single numerical prognostic index which could be helpful in clinical decision making for the management of frail older adults.

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.

Frailty is associated with hospital readmission in geriatric patients: a prognostic study

PURPOSE

Targeting health care interventions requires valid measurements when predicting unplanned hospital readmission. The Multidimensional Prognostic Index (MPI) based on Comprehensive Geriatric Assessment (CGA) enables the prediction of mortality and length of stay (LOS) in older hospitalized patients. Our aim was to validate if the MPI as a frailty tool could predict unplanned hospital readmission in geriatric patients.

METHODS

This prognostic study was conducted in geriatric wards. The target population was 65 + -year-old patients hospitalized with acute illness. The MPI tool is derived from eight CGA domains by an interdisciplinary team: social aspects, number of drugs, activities of daily living (ADL), instrumental-ADL, cognitive status, severity of morbidity, risk of developing pressure sores, and nutritional status. Patients assessed were categorized into three groups: non-frail (MPI-1), moderate frail (MPI-2) or severe frail (MPI-3). Primary outcome was 30-day unplanned readmission and secondary LOS and 90-day mortality.

RESULTS

In total 1467 patients were included from January 1, 2018, to October 1, 2019. Mean age was 84.2 years (± 7.4) and 59% were women. 15.7% were readmitted. Hazard ratio (HR) for readmission in the MPI-2 group (n = 635) was 2.57; 95% confidence interval (CI) 1.25-5.29 (p = 0.01), and 2.60; 95% CI 1.27-5.33 (p = 0.009) in the MPI-3 group (n = 711) compared to the MPI-1 group (n = 121). MPI was a predictor of LOS and mortality.

CONCLUSION

Using the MPI tool to identify the frail and non-frail patients is applicable to predict unplanned hospital readmission in geriatric patients. The MPI is superior to the prognostic value of each single domain. MPI will be of great value to health professionals' decision-making.

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.

Updates in nutrition and polypharmacy

PURPOSE OF REVIEW

Medications have the potential to affect nutritional status in negative ways, especially as the number of medications increase. The inter-relation between polypharmacy and malnutrition is complex and not fully delineated in previous studies. More research has been done and compiled in the last year, which helps to clarify this relationship. This review brings together the most recent literature with the previous research to help healthcare providers to better assess and manage medication therapy in older adults.

RECENT FINDINGS

Recent evidence confirms a synergistic negative effect of polypharmacy and malnutrition on outcomes of older adults. In addition, several drug classes, including common antihypertensive agents, acetylcholinesterase inhibitors, multivitamins, proton pump inhibitors, HMG-CoA reductase inhibitors (statins), antiplatelet agents and metformin, have been implicated in important drug-nutrient interactions. These are reviewed in detail here. Ongoing research endeavors are described.

SUMMARY

Healthcare practitioners can use this review to identify potentially inappropriate medications and patients at highest risk of experiencing a medication-related adverse reaction in order to systematically deprescribe these high-risk medications.