The development of a new tool for the evaluation of handicap in elderly: the Geriatric Handicap Scale (GHS)

Will-to-Live and Self-Rated Health in Older Hospitalized Patients Are Not Predictive for Short-Term Mortality

Background: Self-assessed will-to-live and self-rated health are associated with long-term survival in community-dwelling older persons but have not been examined in frailer older patients in relation to short-term prognosis. The aim was to explore whether will-to-live and self-rated health are predictive for six-month mortality and can guide ceiling of treatment decisions in hospitalized patients in an acute geriatric ward. We included the Surprise Question as reference, being a well-established clinical tool for short-term prognostication. Methods: This multicentric prospective study included patients of 75 years and older admitted at acute geriatric wards of two Belgian hospitals. Will-to-live and self-rated health were scored on a Likert scale (0-5, 0-4) and assessed by junior geriatricians. The senior geriatricians answered the Surprise Question for clinical judgment of prognosis. Receiver-operator characteristic (ROC) curves were constructed to determine diagnostic accuracy. For time-dependent analysis, Cox regression was performed with adjustment for age and gender. Results: Of 93 included patients in the study, 69 were still alive after six months and 24 died, resulting in a six-month mortality of 26%. The mean age was 86 years (range 75-100), 67% of the patients were women. Median will-to-live and self-rated health were 3 (moderate and good). Both will-to-live and self-rated health were not predictive for six-month mortality (area under the ROC curve [AUC] 0.496, p = 0.951 for will-to-live; 0.447, p = 0.442 for self-rated health) as opposed to Surprise Question (AUC 0.793, p < 0.001). After correction for sex and age, the hazard ratio of six-month mortality was 0.92 for will-to-live (p = 0.667), 0.86 for self-rated health (p = 0.548), and 10.28 for Surprise Question (p < 0.001). Conclusion: Will-to-live and self-rated health are not predictive for six-month mortality in patients admitted to the acute geriatric ward, unlike prognostic tools such as Surprise Question. Clinical Trial Registration Number: B670202100792.

Psychometrics, diagnostics and usability of Italian tools assessing behavioural and functional outcomes in neurological, geriatric and psychiatric disorders: a systematic review

Background

Psychometric instruments assessing behavioural and functional outcomes (BFIs) in neurological, geriatric and psychiatric populations are relevant towards diagnostics, prognosis and intervention. However, BFIs often happen not to meet methodological-statistical standards, thus lowering their level of recommendation in clinical practice and research. This work thus aimed at (1) providing an up-to-date compendium on psychometrics, diagnostics and usability of available Italian BFIs and (2) delivering evidence-based information on their level of recommendation.

Methods

This review was pre-registered (PROSPERO ID: CRD42021295430) and performed according to PRISMA guidelines. Several psychometric, diagnostic and usability measures were addressed as outcomes. Quality assessment was performed via an ad hoc checklist, the Behavioural and Functional Instrument Quality Assessment.

Results

Out of an initial N = 830 reports, 108 studies were included (N = 102 BFIs). Target constructs included behavioural/psychiatric symptoms, quality of life and physical functioning. BFIs were either self- or caregiver-/clinician-report. Studies in clinical conditions (including neurological, psychiatric and geriatric ones) were the most represented. Validity was investigated for 85 and reliability for 80 BFIs, respectively. Criterion and factorial validity testing were infrequent, whereas content and ecological validity and parallel forms were almost never addressed. Item response theory analyses were seldom carried out. Diagnostics and norms lacked for about one-third of BFIs. Information on administration time, ease of use and ceiling/floor effects were often unreported.

Discussion

Several available BFIs for the Italian population do not meet adequate statistical-methodological standards, this prompting a greater care from researchers involved in their development.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10072-022-06300-8.

A new tool for the evaluation of the rehabilitation outcomes in older persons: a machine learning model to predict functional status 1 year ahead

PURPOSE

To date, the assessment of disability in older people is obtained utilizing a Comprehensive Geriatric Assessment (CGA). However, it is often difficult to understand which areas of CGA are most predictive of the disability. The aim of this study is to evaluate the possibility to early predict-1 year ahead-the disability level of a patient using machine leaning models.

METHODS

Community-dwelling older people were enrolled in this study. CGA was made at baseline and at 1 year follow-up. After collecting input/independent variables (i.e., age, gender, schooling followed, body mass index, information on smoking, polypharmacy, functional status, cognitive performance, depression, nutritional status), we performed two distinct Support Vector Machine models (SVMs) able to predict functional status 1 year ahead. To validate the choice of the model, the results achieved with the SVMs were compared with the output produced by simple linear regression models.

RESULTS

218 patients (mean age = 78.01; SD = 7.85; male = 39%) were recruited. The combination of the two SVMs is able to achieve a higher prediction accuracy (exceeding 80% instances correctly classified vs 67% instances correctly classified by the combination of the two linear regression models). Furthermore, SVMs are able to classify both the three categories, self sufficiently, disability risk and disability, while linear regression model separates the population only in two groups (self-sufficiency and disability) without identifying the intermediate category (disability risk) which turns out to be the most critical one.

CONCLUSIONS

The development of such a model can contribute to the early detection of patients at risk of self-sufficiency loss.

The Effect of a Physical Training with the Use of an Exoskeleton on Depression Levels in Institutionalized Elderly Patients: A Pilot Study

CONTEXT

The Human Body Posturizer (HBP) is an exoskeleton used in the neurorehabilitation. The HBP may improve motor control by stimulating the pre-frontal cortex, a brain region involved also in the inhibitory modulation of the amygdala whose hyperactivity is involved in the mechanisms of depression.

OBJECTIVE

The aim of the study was to investigate in institutionalized elderly patients the effects on depression of a physical training with the use of the HBP compared to a traditional training.

DESIGN

Randomized controlled trial.

PARTICIPANTS

20 institutionalized patients (mean age = 88, ds = ± 5, 3 males) with moderate depression levels.

INTERVENTION

The participants were randomly assigned to: a) HBP Group, which carried out physical training using the HBP; b) Excercise Group, which carried out a training without the use of the orthosis. The training was conducted for 6 months (3 sessions each week), with the same kind of exercises with or without the HBP according to the assignment group.

MEASUREMENTS

Participants were evaluated at baseline using the Tinetti balance and Gait scale, the Mini Mental State Examination and the Geriatric Handicap Scale. The Geriatric Depression Scale was administered to the participants before and after the period of training.

RESULTS

The two groups were homogeneous for age, baseline motor ability (risk falls), handicap score, cognitive functioning and depression levels. After 6 months of exercise training a significant reduction in depression levels was reported only in the HBP Group (p <.01).

CONCLUSIONS

A positive effect of the HBP in the modulation of mood in institutionalized elderly subjects was found. It is possible to hypothesis that a traditional training without the HBP may require more time to achieve significant results. Clinical implications will be discussed.