Prediction of Adverse Outcomes in Nursing Home Residents According to Intrinsic Capacity Proposed by the World Health Organization.

BACKGROUND: This study aimed to evaluate the predictive value of the domains of intrinsic capacity (ie, cognition, locomotion, sensory, vitality, and psychosocial) proposed by the World Health Organization (WHO) on the 3-year adverse health outcomes of nursing home residents. METHODS: A 3-year incidence of mortality, falls, repeated falls, and autonomy decline (ie, a one-unit increase in the Katz score) was assessed in a cohort of Belgian nursing home residents. Cognition was assessed using the Mini-Mental State Examination (MMSE). For locomotion, balance, gait speed and chair stand performance were evaluated by the Short Physical Performance Battery test. The sensory domain was measured using the Strawbridge questionnaire for audition and vision. For vitality, abdominal circumference, body mass index, nutritional status (by Mini Nutritional Assessment [MNA]) and handgrip strength were assessed. Psychosocial status was evaluated by the EQ-5D and the Center for Epidemiological Studies Depression scale. Missing data were handled by multiple imputations. Cox proportional hazard models, logistic regressions, and analysis of variance were used for the analyses. RESULTS: In the multivariable model, a one-unit increase in balance performance and in the nutrition score decreased the probability of death by 12% (Hazard ratio [HR] = 0.88; 95% confidence interval [CI] 0.78-0.99) and 4% (HR = 0.96; 95% CI 0.93-0.99), respectively. The risk of falling decreased when there was a one-unit increase in balance performance (HR = 0.87, 95% CI 0.79-0.96) and in the nutrition score (HR = 0.96, 95% CI 0.93-0.98). No association was found for intrinsic capacity and repeated falls. Low scores in nutrition (odds ratio = 0.86, 95% CI 0.77-0.96) were associated with a higher probability of autonomy decline. CONCLUSION: Some domains of intrinsic capacity predicted health outcomes among nursing home residents. Nutrition and balance should be regularly checked among this population.

Using supervised learning machine algorithm to identify future fallers based on gait patterns: A two-year longitudinal study.

INTRODUCTION: Given their major health consequences in the elderly, identifying people at risk of fall is a major challenge faced by clinicians. A lot of studies have confirmed the relationships between gait parameters and falls incidence. However, accurate tools to predict individual risk among independent older adults without a history of falls are lacking. OBJECTIVE: This study aimed to apply a supervised learning algorithm to a data set recorded in a two-year longitudinal study, in order to build a classification tree that could discern subsequent fallers based on their gait patterns. METHODS: A total of 105 adults aged >65 years, living independently at home and without a recent fall history were included in a two-year longitudinal study. All underwent physical and functional assessment. Gait speed, stride length, frequency, symmetry and regularity, and minimum toe clearance were recorded in comfortable, fast and dual task walking conditions in a standardized laboratory environment. Fall events were recorded using personal falls diaries. A supervised machine learning algorithm (J48) has been applied to the data recorded at inclusion in order to obtain a classification tree able to identify future fallers. RESULTS: Based on fall information from 96 volunteers, a classification tree correctly identifying 80% of future fallers based on gait patterns, gender, and stiffness, was obtained, with accuracy of 84%, sensitivity of 80%, specificity of 87%, a positive predictive value of 78%, and a negative predictive value of 88%. DISCUSSION: While the performances of the classification tree warrant further confirmation, it is the first predictive tool based on gait parameters that are identified (not clustered) allowing its use by other research teams. CONCLUSION: This original longitudinal pilot study using a supervised machine learning algorithm, shows that gait parameters and clinical data can be used to identify future fallers among independent older adults.

Normative data for isometric strength of 8 different muscle groups and their usefulness as a predictor of loss of autonomy among physically active nursing home residents: the SENIOR cohort.

OBJECTIVES: To provide normative values for isometric strength of 8 different muscle groups among nursing home residents and to investigate their predictive value for the decline of autonomy. METHODS: This is an analysis of the 1-year follow-up of the SENIOR cohort. At baseline, isometric muscle strength of residents has been assessed for 8 muscle groups using the MicroFET2. The cut-off threshold for low relative isometric muscle strength was defined as the lower quartile. The outcome was the 1-year loss of autonomy (i.e. a decrease of ≥1 point on the ADL scale between baseline and 12-month follow-up). Logistic regressions were carried out to assess the predictive value of isometric muscle strength for the loss of autonomy. RESULTS: 204 subjects (83.2±8.99 years, 72.5% women) were included. Threshold values of isometric strength were: knee flexors=0.94, knee extensors=1.07, ankle flexors=0.77, ankle extensors=0.88, hip abductors=0.78, hip extensors=0.79, elbow flexors=0.99 and elbow extensors= 0.71 N/kg. After adjustment for age and sex, the cut-off values for knee extensors (p=0.04) and for ankle extensors (p=0.03) were significantly predictive of loss of autonomy. CONCLUSIONS: The normative values for knee extensors and ankle extensors are independent predictors for loss of autonomy.

Gait symmetry in the dual task condition as a predictor of future falls among independent older adults: a 2-year longitudinal study.

BACKGROUND: Given the potential consequences of falls among older adults, a major challenge is to identify people at risk before the first event. In this context, gait parameters have been suggested as markers of fall risk. AIM: To examine, among older people, the prospective relationship between gait patterns assessed in comfortable and challenging walking conditions, and future fall(s). METHOD: A total of 105 adults older than 65 years, living independently at home and without a recent fall history were included in a 2-year, longitudinal, observational study. All underwent physical and functional assessment. Gait speed, stride length, frequency, symmetry and regularity and Minimum Toe Clearance (MTC) were recorded in comfortable (CW), fast (FW) and dual task walking (DTW) conditions. Gait parameter changes occurring between CW and FW and between CW and DTW were calculated and expressed in percent. DTW cost was calculated as the change of DTW relative to CW. Fall events were recorded using fall diaries. Comparisons according to fall occurrence were performed by means of univariate analysis and multivariate binary logistic regression analysis. RESULTS: Two-year follow-up was available for 96 participants, of whom 35 (36.5%) fell at least once. Comparative analysis showed that future fallers had shorter FW stride length and higher symmetry DTW cost than non-fallers (p < 0.05). Binary logistic regression analysis showed that each additional percent of stride symmetry cost was associated with an increase in future fall risk (odds ratio 1.018, 95% Confidence Interval (CI) 1.002-1.033; p = 0.027). DISCUSSION: Our results confirm the association between a symmetry decrease in DTW and future fall(s). Indeed in this study, the mean symmetry DTW cost in fallers is almost 20% higher than in non-fallers, meaning a fall risk that is around 36% higher than among non-fallers. CONCLUSION: This exploratory study shows the usefulness of considering gait parameters, particularly symmetry in challenging walking conditions, for early identification of future fallers.

Assessment of Muscle Function and Physical Performance in Daily Clinical Practice : A position paper endorsed by the European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO).

It is well recognized that poor muscle function and poor physical performance are strong predictors of clinically relevant adverse events in older people. Given the large number of approaches to measure muscle function and physical performance, clinicians often struggle to choose a tool that is appropriate and validated for the population of older people they deal with. In this paper, an overview of different methods available and applicable in clinical settings is proposed. This paper is based on literature reviews performed by members of the European Society for Clinical and Economic Aspects of Osteoporosis and Osteoarthritis (ESCEO) working group on frailty and sarcopenia. Face-to-face meetings were organized afterwards where the whole group could amend and discuss the recommendations further. Several characteristics should be considered when choosing a tool: (1) purpose of the assessment (intervention, screening, diagnosis); (2) patient characteristics (population, settings, functional ability, etc.); (3) psychometric properties of the tool (test-retest reliability, inter-rater reliability, responsiveness, floor and ceiling effects, etc.); (4) applicability of the tool in clinical settings (overall cost, time required for the examination, level of training, equipment, patient acceptance, etc.); (5) prognostic reliability for relevant clinical outcomes. Based on these criteria and the available evidence, the expert group advises the use of grip strength to measure muscle strength and the use of 4-m gait speed or the Short Physical Performance Battery test to measure physical performance in daily practice. The tools proposed are relevant for the assessment of muscle weakness and physical performance. Subjects with low values should receive additional diagnostic workups to achieve a full diagnosis of the underlying condition responsible (sarcopenia, frailty or other).

Assessment of the energy expenditure of Belgian nursing home residents using indirect calorimetry.

OBJECTIVES: The aim of this study was to assess the energy expenditure of Belgian nursing home residents using indirect calorimetry and compare the energy expenditure with energy intake. METHODS: Indirect calorimetry was performed in nursing home residents to estimate their basal metabolism. The basal metabolism was multiplied by a physical activity level coefficient and energy expenditure that was related to thermogenesis (i.e., 10% of the total amount of energy ingested over 24 h) was added. In this way, we obtained the total energy expenditure of each nursing home resident. The nutritional intake of each resident was calculated using the precise food-weighing method over a 3-d period. The difference between energy expenditure and consumption was calculated for each patient and the mean of the difference in the population was calculated. These quantitative variables were compared by means of analysis of variance. RESULTS: A total of 25 subjects were included in this study (88.1 ± 5.8 y; 84% women). The estimated mean basal metabolism was 1087.2 ± 163.2 kcal. The physical activity level was 1.29 ± 0.1 on average and the energy expenditure due to thermogenesis was 163.1 ± 28.9 kcal. Thus, the mean daily energy expenditure was 1575.2 ± 210.6 kcal, which was within the range of the actual calculated energy intake of the residents (1631.5 ± 289.3 kcal; P = 0.33). CONCLUSIONS: The estimated energy intake of Belgian nursing home residents seems appropriate for their energy expenditure.

European postgraduate curriculum in geriatric medicine developed using an international modified Delphi technique.

BACKGROUND: the European Union of Medical Specialists (UEMS-GMS) recommendations for training in Geriatric Medicine were published in 1993. The practice of Geriatric Medicine has developed considerably since then and it has therefore become necessary to update these recommendations. METHODS: under the auspices of the UEMS-GMS, the European Geriatric Medicine Society (EuGMS) and the European Academy of Medicine of Ageing (EAMA), a group of experts, representing all member states of the respective bodies developed a new framework for education and training of specialists in Geriatric Medicine using a modified Delphi technique. Thirty-two expert panel members from 30 different countries participated in the process comprising three Delphi rounds for consensus. The process was led by five facilitators. RESULTS: the final recommendations include four different domains: 'General Considerations' on the structure and aim of the syllabus as well as quality indicators for training (6 sub-items), 'Knowledge in patient care' (36 sub-items), 'Additional Skills and Attitude required for a Geriatrician' (9 sub-items) and a domain on 'Assessment of postgraduate education: which items are important for the transnational comparison process' (1 item). CONCLUSION: the current publication describes the development of the new recommendations endorsed by UEMS-GMS, EuGMS and EAMA as minimum training requirements to become a geriatrician at specialist level in EU member states.

Three-Year Adverse Health Consequences of Sarcopenia in Community-Dwelling Older Adults According to 5 Diagnosis Definitions.

OBJECTIVES: To assess the occurrence of 3 major adverse outcomes of sarcopenia (ie, physical disabilities, institutionalizations and deaths) observed over a 3-year follow-up in older adults and compare the risk of these outcomes using 5 definitions of sarcopenia. DESIGN: The study is a part of the ongoing SarcoPhAge (for Sarcopenia and Physical Impairment with advancing Age) longitudinal project. SETTING AND PARTICIPANTS: The SarcoPhAge study follows 534 community-dwelling older adults. MEASURES: Sarcopenia was defined as low muscle mass plus a decreased muscle function. Data on adverse outcomes were collected yearly during the annual follow-up or with a phone call. The association between baseline sarcopenia and the occurrence of undesirable outcomes was tested using the Cox proportional hazards model or a logistic regression model. RESULTS: A total of 534 subjects were recruited into this prospective cohort (73.5 ± 6.2 years, 60.5% female). After 3 years, 33 participants were lost to follow-up. If no association between baseline sarcopenia and physical disabilities or institutionalizations was highlighted, a higher number of deaths occurred in individuals diagnosed with sarcopenia than in those who were not diagnosed (16.2% vs 4.6%, P value <.001). The probability of death within 3 years when presenting with sarcopenia showed an approximately 3-fold increase compared to subjects without sarcopenia. CONCLUSION: Over a 3-year period, sarcopenia at baseline was associated with an increased risk of mortality. There were some variations in the ability of different definitions of sarcopenia to predict outcomes.

Technology in geriatrics.

Recently, the interest of industry, government agencies and healthcare professionals in technology for aging people has increased. The challenge is whether technology may play a role in enhancing independence and quality of life and in reducing individual and societal costs of caring. Information and communication technologies, i.e. tools aimed at communicating and informing, assistive technologies designed to maintain older peoples' independence and increasing safety, and human-computer interaction technologies for supporting older people with motility and cognitive impairments as humanoid robots, exoskeletons, rehabilitation robots, service robots and companion-type are interdisciplinary topics both in research and in clinical practice. The most promising clinical applications of technologies are housing and safety to guarantee older people remaining in their own homes and communities, mobility and rehabilitation to improve mobility and gait and communication and quality of life by reducing isolation, improve management of medications and transportation. Many factors impair a broad use of technology in older age, including psychosocial and ethical issues, costs and fear of losing human interaction. A substantial lack of appropriate clinical trials to establish the clinical role of technologies to improve physical or cognitive performances and/or quality of life of subjects and their caregivers may suggest that the classical biomedical research model may not be the optimal choice to evaluate technologies in older people. In conclusion, successful technology development requires a great effort in interdisciplinary collaboration to integrate technologies into the existing health and social service systems with the aim to fit into the older adults' everyday life.

Pitfalls in the measurement of muscle mass: a need for a reference standard.

BACKGROUND: All proposed definitions of sarcopenia include the measurement of muscle mass, but the techniques and threshold values used vary. Indeed, the literature does not establish consensus on the best technique for measuring lean body mass. Thus, the objective measurement of sarcopenia is hampered by limitations intrinsic to assessment tools. The aim of this study was to review the methods to assess muscle mass and to reach consensus on the development of a reference standard. METHODS: Literature reviews were performed by members of the European Society for Clinical and Economic Aspects of Osteoporosis and Osteoarthritis working group on frailty and sarcopenia. Face-to-face meetings were organized for the whole group to make amendments and discuss further recommendations. RESULTS: A wide range of techniques can be used to assess muscle mass. Cost, availability, and ease of use can determine whether the techniques are better suited to clinical practice or are more useful for research. No one technique subserves all requirements but dual energy X-ray absorptiometry could be considered as a reference standard (but not a gold standard) for measuring muscle lean body mass. CONCLUSIONS: Based on the feasibility, accuracy, safety, and low cost, dual energy X-ray absorptiometry can be considered as the reference standard for measuring muscle mass.

Comparison of the performance of five screening methods for sarcopenia.

BACKGROUND: Sarcopenia leads to serious adverse health consequences. There is a dearth of screening tools for this condition, and performances of these instruments have rarely been evaluated. Our aim was to compare the performance of five screening tools for identifying elders at risk of sarcopenia against five diagnostic definitions. SUBJECTS AND METHODS: We gathered cross-sectional data of elders from the SarcoPhAge ("Sarco"penia and "Ph"ysical Impairment with Advancing "Age") study. Lean mass was measured with X-ray absorptiometry, muscle strength with a dynamometer and physical performance with the Short Physical Performance Battery (SPPB) test. Performances of screening methods were described using sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and area under the curve (AUC), according to five diagnostic definitions of sarcopenia. For each screening tool, optimal cutoff points were computed using two methods. RESULTS: A total of 306 subjects (74.8±5.9 years, 59.5% women) were included. The prevalence of sarcopenia varied from 5.7% to 16.7% depending on the definition. The best sensitivity (up to 100%) and the best NPV (up to 99.1%) were obtained with the screening test of Ishii et al, regardless of the definition applied. The highest AUC (up to 0.914) was also demonstrated by the instrument of Ishii et al. The most specific tool was the algorithm of the European Working Group on Sarcopenia in Older People (EWGSOP; up to 91.1%). All NPVs were above 87.0%, and all PPVs were below 51.0%. New cutoffs related to each screening instrument were also proposed to better discriminate sarcopenic individuals from non-sarcopenic individuals. CONCLUSION: Screening instruments for sarcopenia can be relevantly used in clinical practice to make sure to identify individuals who do not suffer from the syndrome. The screening test of Ishii et al showed better properties in terms of distinguishing those at risk of sarcopenia from those who were not at risk.

Quality of life in sarcopenia measured with the SarQoL®: impact of the use of different diagnosis definitions.

BACKGROUND: The SarQoL® is a recently developed quality of life questionnaire specific to sarcopenia. AIM: To compare the quality of life (QoL) of subjects identified as sarcopenic with that of non-sarcopenic subjects when using six different operational definitions of sarcopenia. METHODS: Participants of the SarcoPhAge study (Belgium) completed the SarQoL®. Among the six definitions used, two were based on low lean mass alone (Baumgartner, Delmonico), and four required both low muscle mass and decreased performance (Cruz-Jentoft, Studenski, Fielding, Morley). Physical assessments included measurements of muscle mass with dual energy X-ray absorptiometry, muscle strength with a handheld dynamometer and gait speed over a 4-m distance. RESULTS: A total of 387 subjects completed the SarQoL®. Prevalence of sarcopenia varied widely across the different definitions. Using the SarQoL®, a lower QoL was found for sarcopenic subjects compared to non-sarcopenic subjects when using the definitions of Cruz-Jentoft (56.3 ± 13.4 vs 68.0 ± 15.2, p < 0.001), Studenski (51.1 ± 14.5 vs 68.2 ± 14.6, p < 0.001), Fielding (53.8 ± 12.0 vs 68.3 ± 15.1, p < 0.001), and Morley (53.3 ± 12.5 vs 67.1 ± 15.3, p < 0.001). No QoL difference between sarcopenic and non-sarcopenic subjects was found when using the definitions of Baumgartner or Delmonico, which were only based on the notion of decreased muscle mass. DISCUSSION AND CONCLUSIONS: The SarQoL® was able to discriminate sarcopenic from non-sarcopenic subjects with regard to their QoL, regardless of the definition used for diagnosis as long as the definition includes an assessment of both muscle mass and muscle function. Poorer QoL, therefore, seems more related to muscle function than to muscle mass.

Prediction of the Incidence of Falls and Deaths Among Elderly Nursing Home Residents: The SENIOR Study.

OBJECTIVE: The objective of this study was to evaluate, among nursing home residents, the extent to which the various operational definitions of frailty predict mortality and falls at 1 year. METHODS: We studied 662 participants from the Sample of Elderly Nursing home Individuals: An Observational Research (SENIOR) cohort aged 83.2 ± 8.99 years, including 484 (72.5%) women and living in nursing homes. Among this cohort, 584 and 565 participants, respectively, were monitored over 12 months for mortality assessment and for occurrence of falls (ie, by mean of their medical records). Each patient was subjected to a clinical examination at baseline, during which many original clinical characteristics were collected. Stepwise regression analyses were carried out to predict mortality and falls. RESULTS: Among the participants included in the study, 93 (15.9%) died and 211 (37.3%) experienced a fall during the 1-year of follow-up. After adjustment, none of the definitions of frailty assessed predicted the 1-year occurrence of negative health outcomes. When comparing the clinical characteristics of deceased participants and those still alive, being a man (OR = 1.89; 95% CI: 1.19-3.01; P = .002) and being diagnosed with sarcopenia (OR = 1.7; 95% CI: 1.1-2.92; P = .03) were independent factors associated with 1-year mortality. Other independent factors that were significantly associated with the 1-year occurrence of falls were the results obtained with the Tinetti test (OR = 0.93; 95% CI: 0.87-0.98; P = .04), with the grip strength test (OR = 0.95; 95% CI: 0.90-0.98, P = .03), and with the isometric strength test of elbow extensors (OR = 0.93; 95%CI: 0.87-0.97; P = .04). CONCLUSIONS: Within the operational definitions of frailty assessed, none is sufficiently sensitive to predict the occurrence of falls and deaths at 1 year among nursing home residents. Globally, the frequency of undesirable health outcomes seems to be higher among participants with lower muscle strength and mobility. Medical strategy or adapted physical activity, with the aim of improving specific isometric muscle strength and mobility could potentially, but significantly, reduce the occurrence of falls and even deaths.

The authors reply: Letter on: "Pitfalls in the measurement of muscle mass: a need for a reference standard" by Clark et al.

However, semantics aside, we think that DXA can indeed serve as a reference standard for measuring muscle mass. Obviously, CT and MRI are advanced techniques that can and have been used to obtain important information such as muscle size/volume and more recently amount and distribution of intra- and intermuscular adipose tissue. Also individual muscles can be assessed separately. However, with respect to muscle mass, the comparison of DXA with CT/MRI is rather difficult because DXA and QCT/MRI measure different physical parameters.

Perceptions and types of support coming from families caring for patients suffering from advanced illness in Kinshasa, Democratic Republic of Congo.

BACKGROUND: Perceptions of families who take care of patients suffering from advanced illness are rarely considered in Kinshasa medical practices; nevertheless, these families are the main actors involved in such care. The objective of this present study was to illustrate, in a Congolese context, the perceptions of families on the care of patients suffering from advanced illness, and to identify the possible aids provided by healthcare facilities. METHODS: A qualitative study was performed among focus groups in six hospitals in Kinshasa. Each group included eight members. RESULTS: We gathered factors that could negatively influence the care of a patient suffering from advanced disease. Such factors included: scarcity of and inaccessibility to painkillers, economic resilience, poor quality treatment, lack of psychological counselling, seeking alternative solutions and poor communication between caregivers and patients. In contrast, the study also showed that relatives caring for these patients often receive support from the wider family and from cult members. CONCLUSIONS: This study focuses on the miscommunication between healthcare workers and patients, poor management in advanced illness as well as a lack of psychological support from caregivers. The findings can serve as basis for further research in palliative care.

Chronic illness needing palliative care in Kinshasa hospitals, Democratic Republic of the Congo (DRC).

BACKGROUND: Chronic illnesses are a major public health problem in low-income countries. In the Democratic Republic of the Congo (DRC), few data are available, especially in palliative care. In this context, the present study aimed at describing the patterns of diseases in Kinshasa hospitals as well as risk factors associated with patients' evolving status and length of hospital stay. METHODS: A prospective study was conducted in ten hospitals of Kinshasa, over a 1-year period. A total of 2699 patients with a chronic condition (non-communicable diseases (NCD) and/or AIDS) were consecutively enrolled in the study between January and December, 2013. RESULTS: Out of 2699 patients studied, 36.9% were suffering from cardiovascular diseases, 29.7% from comorbidity and 17.5% from AIDS. 27.5% of patients died while hospitalized, and 67.4% were lost to follow-up. The risk factors independently associated with death in hospitals were AIDS (adjusted OR = 2.2) and age over 65 years old (adjusted OR = 1.7). Peri-urban and rural areas were significantly associated with a mean adjusted hospital stay longer than 3 days. The length of stay (LOS) was shorter for women and patients living in urban areas. Patients survived for a median of 10 days (range 7-20 days). CONCLUSIONS: This study reveals the high proportion of patients suffering from advanced chronic diseases, including cardiovascular diseases, AIDS and comorbidity. It demonstrates the need for palliative care (PC) in medical practices in Kinshasa, the capital of the Democratic Republic of the Congo.