scholarly journals Gait speed and frailty status in relation to adverse outcomes in geriatric rehabilitation

2019 ◽  
Author(s):  
Aparna Arjunan
Keyword(s):  
Gait Speed ◽  
Adverse Outcomes ◽  
Geriatric Rehabilitation ◽  
Frailty Status

scholarly journals How wearable sensors have been utilised to evaluate frailty in older adults: a systematic review

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Grainne Vavasour ◽  
Oonagh M. Giggins ◽  
Julie Doyle ◽  
Daniel Kelly
Keyword(s):  
Systematic Review ◽  
Older Adults ◽  
Gait Speed ◽  
Outcome Measurement ◽  
Wearable Sensors ◽  
Adverse Outcomes ◽  
Community Dwelling ◽  
Ageing Population ◽  
Application Development ◽  
Community Dwelling Older Adults

Abstract Background Globally the population of older adults is increasing. It is estimated that by 2050 the number of adults over the age of 60 will represent over 21% of the world’s population. Frailty is a clinical condition associated with ageing resulting in an increase in adverse outcomes. It is considered the greatest challenge facing an ageing population affecting an estimated 16% of community-dwelling populations worldwide. Aim The aim of this systematic review is to explore how wearable sensors have been used to assess frailty in older adults. Method Electronic databases Medline, Science Direct, Scopus, and CINAHL were systematically searched March 2020 and November 2020. A search constraint of articles published in English, between January 2010 and November 2020 was applied. Papers included were primary observational studies involving; older adults aged > 60 years, used a wearable sensor to provide quantitative measurements of physical activity (PA) or mobility and a measure of frailty. Studies were excluded if they used non-wearable sensors for outcome measurement or outlined an algorithm or application development exclusively. The methodological quality of the selected studies was assessed using the Appraisal Tool for Cross-sectional Studies (AXIS). Results Twenty-nine studies examining the use of wearable sensors to assess and discriminate between stages of frailty in older adults were included. Thirteen different body-worn sensors were used in eight different body-locations. Participants were community-dwelling older adults. Studies were performed in home, laboratory or hospital settings. Postural transitions, number of steps, percentage of time in PA and intensity of PA together were the most frequently measured parameters followed closely by gait speed. All but one study demonstrated an association between PA and level of frailty. All reports of gait speed indicate correlation with frailty. Conclusions Wearable sensors have been successfully used to evaluate frailty in older adults. Further research is needed to identify a feasible, user-friendly device and body-location that can be used to identify signs of pre-frailty in community-dwelling older adults. This would facilitate early identification and targeted intervention to reduce the burden of frailty in an ageing population.

scholarly journals Smartphone-Based Prediction Model for Postoperative Cardiac Surgery Outcomes Using Preoperative Gait and Posture Measures

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1704
Author(s):  
Rahul Soangra ◽  
Thurmon Lockhart
Keyword(s):  
Cardiovascular Disease ◽  
Older Adults ◽  
Cardiac Surgery ◽  
Regression Model ◽  
Mobile Phone ◽  
Gait Speed ◽  
Adverse Outcomes ◽  
Postoperative Outcomes ◽  
Mortality And Morbidity ◽  
Prediction Of Mortality

Gait speed assessment increases the predictive value of mortality and morbidity following older adults’ cardiac surgery. The purpose of this study was to improve clinical assessment and prediction of mortality and morbidity among older patients undergoing cardiac surgery through the identification of the relationships between preoperative gait and postural stability characteristics utilizing a noninvasive-wearable mobile phone device and postoperative cardiac surgical outcomes. This research was a prospective study of ambulatory patients aged over 70 years undergoing non-emergent cardiac surgery. Sixteen older adults with cardiovascular disease (Age 76.1 ± 3.6 years) scheduled for cardiac surgery within the next 24 h were recruited for this study. As per the Society of Thoracic Surgeons (STS) recommendation guidelines, eight of the cardiovascular disease (CVD) patients were classified as frail (prone to adverse outcomes with gait speed ≤ 0.833 m/s) and the remaining eight patients as non-frail (gait speed > 0.833 m/s). Treating physicians and patients were blinded to gait and posture assessment results not to influence the decision to proceed with surgery or postoperative management. Follow-ups regarding patient outcomes were continued until patients were discharged or transferred from the hospital, at which time data regarding outcomes were extracted from the records. In the preoperative setting, patients performed the 5-m walk and stand still for 30 s in the clinic while wearing a mobile phone with a customized app “Lockhart Monitor” available at iOS App Store. Systematic evaluations of different gait and posture measures identified a subset of smartphone measures most sensitive to differences in two groups (frail versus non-frail) with adverse postoperative outcomes (morbidity/mortality). A regression model based on these smartphone measures tested positive on five CVD patients. Thus, clinical settings can readily utilize mobile technology, and the proposed regression model can predict adverse postoperative outcomes such as morbidity or mortality events.

scholarly journals The effect of a multicomponent exercise protocol (VIVIFRAIL©) on inflammatory profile and physical performance of older adults with different frailty status: study protocol for a randomized controlled trial

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Marina Petrella ◽  
Ivan Aprahamian ◽  
Ronei Luciano Mamoni ◽  
Carla Fernanda de Vasconcellos Romanini ◽  
Natália Almeida Lima ◽  
...  
Keyword(s):  
Older Adults ◽  
Physical Performance ◽  
Inflammatory Mediators ◽  
Gait Speed ◽  
Exercise Intervention ◽  
Intervention Group ◽  
Control Group ◽  
Frailty Status ◽  
Anti Inflammatory ◽  
Inflammatory Profile

Abstract Background To investigate whether an exercise intervention using the VIVIFRAIL© protocol has benefits for inflammatory and functional parameters in different frailty status. Methods/design This is a randomized clinical trial in an outpatient geriatrics clinic including older adults ≥60 years. For each frailty state (frail, pre-frail and robust), forty-four volunteers will be randomly allocated to the control group (n = 22) and the intervention group (n = 22) for 12 weeks. In the control group, participants will have meetings of health education while those in the intervention group will be part of a multicomponent exercise program (VIVIFRAIL©) performed five times a week (two times supervised and 3 times of home-based exercises). The primary outcome is a change in the inflammatory profile (a reduction in inflammatory interleukins [IL-6, TNF- α, IL1beta, IL-17, IL-22, CXCL-8, and IL-27] or an increase in anti-inflammatory mediators [IL-10, IL1RA, IL-4]). Secondary outcomes are change in physical performance using the Short Physical Performance Battery, handgrip strength, fatigue, gait speed, dual-task gait speed, depressive symptoms, FRAIL-BR and SARC-F scores, and quality of life at the 12-week period of intervention and after 3 months of follow-up. Discussion We expect a reduction in inflammatory interleukins or an increase in anti-inflammatory mediators in those who performed the VIVIFRAIL© protocol. The results of the study will imply in a better knowledge about the effect of a low-cost intervention that could be easily replicated in outpatient care for the prevention and treatment of frailty, especially regarding the inflammatory and anti-inflammatory pathways involved in its pathophysiology. Trial registration Brazilian Registry of Clinical Trials (RBR-9n5jbw; 01/24/2020). Registred January 2020. http://www.ensaiosclinicos.gov.br/rg/RBR-9n5jbw/.

GAIT SPEED AND HANDGRIP STRENGTH AS PREDICTORS OF INCIDENT DISABILITY IN MEXICAN OLDER ADULTS

2014 ◽  
pp. 1-4
Author(s):  
T. LOPEZ-TEROS ◽  
L.M. GUTIERREZ-ROBLEDO ◽  
M.U. PEREZ-ZEPEDA
Keyword(s):  
Older Adults ◽  
Gait Speed ◽  
Daily Living ◽  
Handgrip Strength ◽  
Statistical Significance ◽  
Adverse Outcomes ◽  
Community Dwelling ◽  
Performance Tests ◽  
One Year

Physical performance tests are associated with different adverse outcomes in older people. Theobjective of this study was to test the association between handgrip strength and gait speed with incidentdisability in community-dwelling, well-functioning, Mexican older adults (age ≥70 years). Incident disability wasdefined as the onset of any difficulty in basic or instrumental activities of daily living. Of a total of 133participants, 52.6% (n=70) experienced incident disability during one year of follow-up. Significant associationsof handgrip strength (odds ratio [OR] 0.96, 95% confidence interval [95%CI] 0.93-0.99) and gait speed (OR0.27, 95%CI 0.07-0.99) with incident disability were reported. The inclusion of covariates in the models reducedthe statistical significance of the associations without substantially modifying the magnitude of them. Handgripstrength and gait speed are independently associated with incident disability in Mexican older adults.

scholarly journals RISK FACTORS FOR LOW GAIT SPEED: A NESTED CASE-CONTROL SECONDARY ANALYSIS OF THE MEXICAN HEALTH AND AGING STUDY

2015 ◽  
pp. 1-5
Author(s):  
M.U. PÉREZ-ZEPEDA ◽  
J.G. GONZÁLEZ-CHAVERO ◽  
R. SALINAS-MARTINEZ ◽  
L.M. GUTIÉRREZ-ROBLEDO
Keyword(s):  
Risk Factors ◽  
Older Adults ◽  
Physical Performance ◽  
Gait Speed ◽  
Representative Sample ◽  
Performance Test ◽  
Subsequent Development ◽  
Case Control ◽  
Adverse Outcomes ◽  
Aging Study

Background: Physical performance tests play a major role in the geriatric assessment. In particular, gait speed has shown to be useful for predicting adverse outcomes. However, risk factors for slow gait speed (slowness) are not clearly described. Objectives: To determine risk factors associated with slowness in Mexican older adults. Design: A two-step process was adopted for exploring the antecedent risk factors of slow gait speed. First, the cut-off values for gait speed were determined in a representative sample of Mexican older adults. Then, antecedent risk factors of slow gait speed (defined using the identified cut-points) were explored in a nested cohort case-control study. Setting, participants: One representative sample of a cross-sectional survey for the first step and the Mexican Health and Aging Study (a cohort characterized by a 10-year follow-up). Measurements: A 4-meter usual gait speed test was conducted. Lowest gender and height-stratified groups were considered as defining slow gait speed. Sociodemographic characteristics, comorbidities, psychological and health-care related variables were explored to find those associated with the subsequent development of slow gait speed. Unadjusted and adjusted logistic regression models were performed. Results: In the final model, age, diabetes, hypertension, and history of fractures were associated with the development of slow gait speed. Conclusions: Early identification of subjects at risk of developing slow gait speed may halt the path to disability due to the robust association of this physical performance test with functional decline.

Gait speed and adverse outcomes following hospitalised exacerbation of COPD

2021 ◽  
pp. 2004047
Author(s):  
Jessica A. Walsh ◽  
Ruth E. Barker ◽  
Samantha S.C. Kon ◽  
Sarah E. Jones ◽  
Winston Banya ◽  
...  
Keyword(s):  
Hospital Discharge ◽  
Gait Speed ◽  
Surrogate Marker ◽  
Performance Measure ◽  
Cox Proportional Hazards ◽  
Hazard Ratio ◽  
Adverse Outcomes ◽  
Competing Risk ◽  
Subdistribution Hazard ◽  
Kaplan Meier

Four-metre gait speed (4MGS) is a simple physical performance measure and surrogate marker of frailty that is associated with adverse outcomes in older adults. We aimed to assess the ability of 4MGS to predict prognosis in patients hospitalised with acute exacerbations of COPD (AECOPD).213 participants hospitalised with AECOPD (52% male, mean age and FEV1, 72 years and 35% predicted) were enrolled. 4MGS and baseline demographics were recorded at hospital discharge. All-cause readmission and mortality were collected for 1 y after discharge, and multivariable Cox-proportional hazards regression were performed. Kaplan-Meier and Competing risk analysis was conducted comparing time to all-cause readmission and mortality between 4MGS quartiles.111 participants (52%) were readmitted, and 35 (16%) died during the follow-up period. 4MGS was associated with all-cause readmission, with an adjusted subdistribution hazard ratio of 0.868 (95% CI 0.797–0.945; p=0.001) per 0.1 m·s−1 increase in gait speed, and with all-cause mortality with an adjusted subdistribution hazard ratio of 0.747 (95% CI: 0.622–0.898; p=0.002) per 0.1 m·s−1 increase in gait speed. Readmission and mortality models incorporating 4MGS had higher discrimination than age or FEV1% predicted alone, with areas under the receiver operator characteristic curves of 0.73 and 0.80 respectively. Kaplan-Meier and Competing Risk curves demonstrated that those in slower gait speed quartiles had reduced time to readmission and mortality (log rank both p<0.001).4MGS provides a simple means of identifying at-risk patients with COPD at hospital discharge. This provides valuable information to plan post-discharge care and support.

scholarly journals 2156

2017 ◽  
Vol 1 (S1) ◽  
pp. 24-25
Author(s):  
Caroline Presley ◽  
Marie Griffin ◽  
Jea Young Min ◽  
Robert Greevy ◽  
Christianne Roumie
Keyword(s):  
Heart Failure ◽  
Observational Studies ◽  
Frailty Index ◽  
Adverse Outcomes ◽  
Diabetes Diagnosis ◽  
Veterans Health ◽  
Health Administration ◽  
Medication Regimen ◽  
Antidiabetic Medication ◽  
Frailty Status

OBJECTIVES/SPECIFIC AIMS: This study is part of a parent grant evaluating antidiabetic medications and risk for heart failure in an observational cohort of Veterans with type 2 diabetes (T2DM). Confounding by indication remains a concern in many observational studies of medications because difficult to measure confounders such as frailty may influence prescribing of different medications based on patient characteristics. Frailty is a multidimensional syndrome of loss of reserves (energy, physical ability, cognition, health) that gives rise to vulnerability to adverse outcomes. The objective of this study is to determine if frailty is a potential confounder in Veterans with T2DM, that is, independently associated with exposure to a specific antidiabetic medications and hospitalization for decompensated heart failure. METHODS/STUDY POPULATION: We conducted a cross-sectional study of patients with diabetes who were hospitalized within the Veterans Health Administration (VHA) Tennessee Valley Healthcare System from 2002 to 2012. Inclusion criteria were: age 18 years or older, receive regular VHA care (prescription fill or visit at least once every 180 d), a diagnosis of T2DM. A probability sample of HF and non-HF hospitalizations was collected. HF hospitalizations were selected on the basis of meeting either a primary diagnosis code (ICD-9) and/or disease related group (DRG) code for HF. For each hospitalization using a standardized chart abstraction tool, data was abstracted on: antidiabetic medication(s), patient frailty status, and reason for hospitalization (HF or non-HF). Antidiabetic medication regimens were categorized as follows: no medication treatment, metformin alone, sulfonylurea alone, insulin alone, insulin and one oral agent, and all other regimens. Patient frailty status was measured using a modified version of the Canadian Health and Aging frailty index (FI), which generates a score (range 0–1) by dividing the number of deficits present by the number of deficits measured. Established categories for FI scores are: non frail ≤0.10, vulnerable 0.10–0.21, frail 0.22–0.45, and very frail >0.45. Patient frailty status at the time of hospitalization was used as a surrogate for patient frailty at the time of prescription of antidiabetic medication; this is a limitation of this approach. Hospitalizations were classified as HF hospitalizations if 2 major or 1 major and 2 minor Framingham criteria were present. FI was compared across antidiabetic medication regimen categories and hospitalization type using analysis of variance (ANOVA) and Student t-test, respectively. RESULTS/ANTICIPATED RESULTS: Of the 500 hospitalizations reviewed, 430 patients had confirmed diabetes diagnosis, adequate data to calculate FI scores, and were included in this analysis. Patients were on average 66.9 (10.9) years old; 99% male and 75% were White. Overall, 268 patients (62.3%) were categorized as frail or very frail. The mean FI score was 0.23 (SD 0.07). FI scores were highest in patients receiving insulin alone (mean 0.26) compared with patients receiving metformin alone (mean 0.22), sulfonylurea alone (mean 0.23), or no medication (mean 0.22). The lowest mean frailty score was seen in patients taking all other drug combinations, 0.19. The differences across these patient groups were statistically significant with p<0.01. Further, 75% of patients on insulin alone were frail or very frail compared with 68% on sulfonylurea alone, 58% on metformin alone, and 58% on no medication. Framingham criteria for acute HF were present for 318 of 430 patients (74.0%). FI scores were higher in patients hospitalized for HF compared with non-HF hospitalizations (mean 0.24 vs. 0.21, p<0.01). A higher proportion of patients hospitalized for HF were classified as frail or very frail compared with those hospitalized for non-HF diagnosis (66.4% vs. 50.9%, p<0.01). DISCUSSION/SIGNIFICANCE OF IMPACT: This study demonstrates that certain antidiabetic medications are associated with patient frailty. In addition, those patients admitted for HF have higher FI scores than those admitted for non-HF diagnoses. Further investigation is planned to assess the degree to which frailty is captured by traditional covariates used in observational studies.

Frailty in Older Adults With Multiple Myeloma: A Study of US Veterans

2020 ◽  
pp. 117-127
Author(s):  
Bindiya G. Patel ◽  
Suhong Luo ◽  
Tanya M. Wildes ◽  
Kristen M. Sanfilippo
Keyword(s):  
Multiple Myeloma ◽  
Administrative Data ◽  
Proportional Hazards ◽  
Frailty Index ◽  
Cox Proportional Hazards ◽  
Adverse Outcomes ◽  
Frailty Status ◽  
Patients With Cancer ◽  
Hazard Ratios ◽  
Increased Risk

PURPOSE Age-associated cumulative decline across physiologic systems results in a diminished resistance to stressors, including cancer and its treatment, creating a vulnerable state known as frailty. Frailty is associated with increased risk of adverse outcomes in patients with cancer. Identification of frailty in administrative data can allow for assessment of prognosis and facilitate control for confounding variables. The purpose of this study was to assess frailty from claims-based data using the accumulation of deficits approach in veterans with multiple myeloma (MM). METHODS From the Veterans Administration Central Cancer Registry, we identified patients who were diagnosed with MM between 1999 and 2014. Using the accumulation of deficits approach, we calculated a Frailty Index (FI) using 31 health-associated deficits and categorized scores into five groups: nonfrail (FI, 0 to 0.1), prefrail (FI, 0.11 to 0.20), mild frailty (FI, 0.21 to 0.30), moderate frailty (FI, 0.31 to 0.40), and severe frailty (FI, > 0.4). We used Cox proportional hazards regression analysis to assess association between FI score and mortality while adjusting for potential confounders. RESULTS We calculated an FI for 3,807 veterans age 65 years or older. Among the cohort, 28.7% were classified as nonfrail, 41.3% prefrail, 21.6% mildly frail, 6.6% moderately frail, and 1.7% severely frail. Frailty was strongly associated with mortality independent of age, race, MM treatment, body mass index, or statin use. Higher FI score was associated with higher mortality with hazard ratios of 1.33 (95% CI, 1.21 to 1.47), 1.97 (95% CI, 1.70 to 2.20), 2.86 (95% CI, 2.45 to 3.34), and 3.22 (95% CI, 2.46 to 4.22) for prefrail, mildly frail, moderately frail, and severely frail, respectively. CONCLUSION Frailty status is a significant predictor of mortality in older veterans with MM. Assessment of frailty status using the readily available electronic medical records data in administrative data allows for assessment of prognosis.

scholarly journals EUROPEAN OLDER ADULTS FRAIL: FINDINGS FROM THE SURVEY OF HEALTH, AGEING AND RETIREMENT IN EUROPE (SHARE)

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S681-S681
Author(s):  
Giulia Manfredi ◽  
Luís Midão ◽  
Constança Paúl ◽  
Clara Cena ◽  
Mafalda Duarte ◽  
...  
Keyword(s):  
Signs And Symptoms ◽  
Population Based ◽  
European Population ◽  
Adverse Outcomes ◽  
Community Dwelling ◽  
Frailty Status ◽  
Frailty Assessment ◽  
Final Sample ◽  
Loss Of Appetite ◽  
The Impact

Abstract Frailty is a geriatric multidimensional syndrome whose signs and symptoms are predictors of increased vulnerability to minor stress events and risk of adverse outcomes such as falls, fractures, hospitalisation, disability and death. In this work, we aimed to update the data of frailty status in European community dwelling population, based on the latest data released (wave 6) of SHARE database, and to study the impact of each criterion on frailty assessment. Frailty status was assessed applying a version of the Fried Phenotype operationalised for SHARE. We included all participants who answered all the questions used in a frailty assessment and who disclosed their gender and, further, whose age was 50 or more. Our final sample was 60816 individuals. Of these, the mean age was 67.45 ± 9.71 years; 38497 (56.4%) were female. The overall prevalence of pre-frailty was 42.9% (ranging from 34.0% in Austria to 52.8% in Estonia) and frailty was 7.7% (ranging from 3.0% in Switzerland to 15.6% in Portugal). Pre-frailty and frailty prevalence increased along age and were more frequent among women. Regarding the five criteria considered on frailty assessment, exhaustion seems to be the criterion that contributes most to frailty status, followed by low activity, weakness, loss of appetite and slowness. With this work, we demonstrated that more than 50% of the 50+ European population are pre-frail/frail, which must be considered when designing interventions to reduce/postpone/mitigate the progression of this condition, reducing the burden associated with it.

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