Effect Of Frailty Research Articles

The composite risk index based on frailty predicts postoperative complications in older patients recovering from elective digestive tract surgery: a retrospective cohort study

BackgroundLimitations exist in available studies investigating effect of preoperative frailty on postoperative outcomes. This study was designed to analyze the association between composite risk index, an accumulation of preoperative frailty deficits, and the risk of postoperative complications in older patients recovering from elective digestive tract surgery.MethodsThis was a retrospective cohort study. Baseline and perioperative data of older patients (age ≥ 65 years) who underwent elective digestive tract surgery from January 1, 2017 to December 31, 2018 were collected. The severity of frailty was assessed with the composite risk index, a composite of frailty deficits including modified frailty index. The primary endpoint was the occurrence of postoperative complications during hospital stay. The association between the composite risk index and the risk of postoperative complications was assessed with a multivariable logistic regression model.ResultsA total of 923 patients were included. Of these, 27.8% (257) developed postoperative complications. Four frailty deficits, i.e., modified frailty index ≥0.27, malnutrition, hemoglobin < 90 g/L, and albumin ≤30 g/L, were combined to generate a composite risk index. Multivariable analysis showed that, when compared with patients with composite risk index of 0, the odds ratios (95% confidence intervals) were 2.408 (1.714–3.383, P < 0.001) for those with a composite risk index of 1, 3.235 (1.985–5.272, P < 0.001) for those with a composite risk index of 2, and 9.227 (3.568–23.86, P < 0.001) for those with composite risk index of 3 or above. The area under receiver-operator characteristic curve to predict postoperative complications was 0.653 (95% confidence interval 0.613–0.694, P < 0.001) for composite risk index compared with 0.622 (0.581–0.663, P < 0.001) for modified frailty index.ConclusionFor older patients following elective digestive tract surgery, high preoperative composite risk index, a combination of frailty deficits, was independently associated with an increased risk of postoperative complications.

The effect of frailty on the development of acute kidney injury in critically-ill geriatric patients with COVID-19.

Acute kidney injury is strongly associated with mortality in critically ill patients with coronavirus disease 2019 (COVID-19); however, age-related risk factors for acute kidney injury are not clear yet. In this study, it was aimed to evaluate the effects of clinical factors on acute kidney injury development in an elderly COVID-19 patients. Critically ill patients (≥65years) with COVID-19 admitted to the intensive care unit were included in the study. Primary outcome of the study was the rate of acute kidney injury, and secondary outcome was to define the effect of frailty and other risk factors on acute kidney injury development and mortality. A total of 132 patients (median age 76 years, 68.2% male) were assessed. Patients were divided into two groups as follows: acute kidney injury (n = 84) and nonacute kidney injury (n = 48). Frailty incidence (48.8% vs. 8.3%, p < 0.01) was higher in the acute kidney injury group. In multivariate analysis, frailty (OR, 3.32, 95% CI, 1.67-6.56), the use of vasopressors (OR, 3.06 95% CI, 1.16-8.08), and the increase in respiratory support therapy (OR, 2.60, 95% CI, 1.01-6.6) were determined to be independent risk factors for acute kidney injury development. The mortality rate was found to be 97.6% in patients with acute kidney injury. Frailty is a risk factor for acute kidney injury in geriatric patients with severe COVID-19. The evaluation of geriatric patients based on a frailty scale before intensive care unit admission may improve outcomes.

Hospital frailty risk score predicts worse outcomes in patients with chronic pancreatitis.

Chronic pancreatitis (CP) is a pathological fibroinflammatory response to persistent inflammation or stress to the pancreas. The effect of frailty on outcomes in patients with CP has not been previously examined. In this study, we examined the effect of frailty on outcomes in hospitalized patients with CP. Records of patients with a primary or secondary discharge diagnosis of CP (ICD10-CM codes K86.0, K86.1) between January 2016 and December 2019 were obtained from the National Inpatient Sample database. Data were collected on patient demographics, hospital characteristics, comorbidities, and etiology of CP. The relationship between frailty and outcomes, including mortality, intensive care unit (ICU) admission, sepsis, shock, length of stay (LOS), and total hospitalization charges (THC), were analyzed using multivariate analysis. 722,160 patients were included in the analysis. Patients with a high hospital frailty risk score had a higher mortality risk (adjusted odds ratio [aOR] 12.57, 95% confidence interval [CI] 10.42-15.16; P<0.001) compared to patients with low frailty scores. Patients with high frailty scores also had a higher risk of sepsis (aOR 5.75, 95%CI 4.97-6.66; P<0.001), shock (aOR- 26.25, 95%CI-22.83-30.19; P<0.001), ICU admission (aOR 25.86, 95% CI-22.58-29.62; P<0.001), and acute kidney injury (aOR 24.4, 95%CI 22.39-26.66; P<0.001). They also had a longer LOS (7.04 days, 95%CI 6.57-7.52; P<0.001) and higher THC ($72,200, 95%CI 65,904.52-78,496.66; P<0.001). Frail patients, as determined by their hospital frailty risk score, are at high risk of worse outcomes. This data suggests opportunities for physicians to risk-stratify patients and predict outcomes.

Expressive suppression and rumination mediate the relationship between frailty and depression among older medical inpatients

ObjectiveFrailty is common among older medical inpatients and has been found to be an independent risk factor for depression. However, few studies have explored the underlying mechanisms of the frailty-depression relationship. The present study was aimed to examine emotional regulation strategies as mediators in the frailty-depression relationship based on the process model of emotional regulation. MethodsOlder medical inpatients (N=684) completed questionnaires and tests on frailty, emotional regulation strategies, and depressive symptoms. ResultsStructural equation models showed that expressive suppression and rumination, but not cognitive reappraisal, mediated the relationship between frailty and depressive symptoms (RMSEA = 0.059, CFI = 0.963, TLI = 0.957). ConclusionsFrail older medical inpatients habitually use expressive suppression and rumination in their daily lives, which may lead to more psychological disturbance. Interventions targeting expressive suppression and rumination might be effective in reducing the detrimental effect of frailty on psychological well-being among older medical inpatients.

Impact of Frailty on Hospital Outcomes Among Patients with Lymphoid Malignancies Receiving Autologous Hematopoietic Stem Cell Transplantation in the United States

BackgroundFrailty could affect outcomes of autologous hematopoietic stem cell transplantation (aHSCT). This study sought to examine the effects of frailty on hospital outcomes among patients with non-Hodgkin lymphoma (NHL), Hodgkin lymphoma (HL), and multiple myeloma (MM) who received aHSCT. Materials and MethodsThis study was a retrospective analysis of Nationwide Inpatient Sample database, 2005 to 2014. Outcome variables were in-hospital mortality, prolonged length of stay and hospitalization cost. Frail patients were defined using the Johns Hopkins Adjusted Clinical Groups frailty-defining diagnosis indicator. ResultsThere were 20,573 NHL, 8,974 HL, and 40,750 MM patients. Among them, 5.5% NHL, 3.8% HL, and 4.8% MM patients were frail. Among patients with NHL, there were significant associations between frailty and in-hospital mortality (Odds Ratio [OR], 4.04, 95% CI: 2.11-7.76), and prolonged length of stay (OR, 2.32, 95% CI: 1.56-3.46). Similarly, among HL, there were significant associations between frailty and in-hospital mortality (OR, 1.82, 95% CI: 1.43-2.76), and prolonged length of stay (OR, 1.55, 95% CI: 1.34-2.84). Likewise, for MM, there were significant associations between frailty and in-hospital mortality (OR, 4.28, 95% CI: 2.16-8.48), and prolonged length of stay (OR, 3.00, 95% CI: 2.00-4.51). These associations remained significant after stratifying by age and comorbidities. Significant differences were observed in hospitalization cost between frail and non-frail patients. ConclusionAmong patients with lymphoid malignancies undergoing HSCT, frailty was associated with greater in-hospital mortality, longer length of stay, and higher hospitalization costs. Comprehensive health status assessments for identifying and managing frail patients in this population could improve patient outcomes.

Self-Reported Frailty Concerns in Older Breast Cancer Survivors During the COVID-19 Pandemic

Frailty among older adults is common, especially those who have undergone breast cancer treatment; however, we do not know how frailty among this group presented during the COVID-19 pandemic. The purpose of this descriptive, cross-sectional study was to examine self-reported frailty among older breast cancer survivors (BCS) during the pandemic. This IRB-approved study recruited BCS who were at least 1-year post-treatment and 60 years of age or older, via online advertisements (e.g., Dr. Susan Love Foundation). BCS completed demographic and Tilburg Frailty Indicator (TFI) RedCap questionnaires from 11/2020 to 05/2021. The TFI, is a 15-item measure with 3 sub-scales with published cut points indicating frailty: total (5), physical (3), psychological (2), and social (2). Descriptive statistics were used. Older BCS (n=203) who were on average 65.5 (SD=4.7) years of age, white (93.6%; n=190) and had stage II breast cancer at diagnosis (39.9%; n=81) participated. The average total (M=5.4, SD=2.5) and physical (M=3.2, SD=1.5) frailty scores were above the threshold for frailty. Overall, 58.6% (n=119) and 63.1% (n=128) scored at or above the threshold on the total and physical sub-scales, respectively. In addition,78.8% (n=160) responded that they ‘missed having people around’ on the social frailty sub-scale. Research has shown that higher TFI scores (more frailty) are associated with increased healthcare utilization, poorer quality of life, and even mortality. Thus, frailty among older BCS is an important health concern within the context of the pandemic. Further research is needed to understand the lasting effects of self-reported frailty for BCS including COVID-19 survivors.

Factors Affecting the Intention to Use Exoskeleton for exercise and the Moderating Effect of Frailty

This study aims to find relevant factors influencing the intention to use exoskeletons for exercise (IEE) among older adults and to analyze the moderating effect of frailty. The sample of this study is 310 people (65 or older) without cognitive impairment who completed an online survey. The intention to use exoskeletons was measured with three questions from the Senior Technology Acceptance Model (STAM). Potential relevant factors comprise sociodemographic characteristics, physical and psychological health, exercise, attitude towards aging, and social relationship. Linear regression analyses showed that depressive symptoms, regular exercise, attitude towards aging, and social participation were significantly related to IEE. People with more depressive symptoms and a negative attitude towards aging are more likely to have a higher level of IEE. People who exercise regularly and actively participate in social activities showed a higher level of IEE. Subgroup analyses were performed based on the frailty status measured with Korean Groningen Frailty Indicator (K-GFI). Among people without frailty (N=177), regular exercise, and social participation were positively related to IEE. The number of chronic diseases and social participation was positively related to IEE among people with frailty (N=133). The results of this study implied that poor health conditions lead to an increased need for exoskeletons. The results of this study also suggested that exercise and social participation work as facilitating factors in the context of gerontechnology acceptance. Results of subgroup analyses suggested that influencing factors on IEE can vary depending on the physical functional status.

Relationship between frailty and cognitive decline in Chinese older patients with Alzheimer's disease: The mediating role of social contact

This study aimed to evaluate the effects of frailty and social contact on cognitive decline among Chinese older patients with Alzheimer's disease (AD), and examine the mediating role of social contact between frailty and cognitive decline. A total of 205 eligible participants were recruited from a tertiary A hospital in Anhui province, China. A structural equation modeling was conducted to test the hypothetical mediating model. Frailty and cognitive decline were significantly and negatively correlated with social contact. Meanwhile, frailty exerted a significant positive effect on cognitive decline. The indirect effect of frailty on the cognitive decline through social contact was 0.401. Social contact could exert a partial mediating effect on the relationship between frailty and cognitive decline in this population. These findings could help guide effective interventions to improve the cognitive abilities of AD patients, thereby reducing the burden of this population on their caregivers.

The effect of frailty on the 24-hour blood pressure pattern in the very elderly.

Frailty plays a crucial role in the management of hypertension in the very elderly and has a strong association with cardiovascular diseases. Nevertheless, its influence on the 24‐hour blood pressure pattern, including elevated asleep systolic blood pressure (BP) and the lack of BP fall during sleep (non‐dipping) has not been explored in a population above 80 years.Patients older than 80 years were classified into frail or robust subtypes by the five item frailty phenotype criteria. All participants were submitted to office blood pressure measurements and ambulatory BP monitoring over a 24‐hour period. Nocturnal dipping was defined as nighttime BP fall ≥10%.Thirty‐eight frail and 36 non‐frail individuals (mean age 85.3 ± 3.7 years; 67% females) were analyzed. Awake systolic and diastolic BP were similar for frail and robust individuals. Frail patients had higher systolic BP during sleep (128 ± 15 mm Hg vs. 122 ±13 mm Hg p = .04) and reduced systolic BP fall [1 (‐4.5 – 5)% vs. 6.8 (2.1 – 12.8)% p < .01]. Frailty was independently associated with higher risk of non‐dipping (OR 12.4; CI 1.79 – 85.9) and reduced nighttime systolic BP fall (‐6.1%; CI ‐9.6 – ‐2.6%). In conclusions, frailty has a substantial influence on nighttime BP values and pattern in patients older than 80 years.

Association of Preoperative Risk Factors and Mortality in Older Patients following Emergency Abdominal Surgery: A Retrospective Cohort Study.

BackgroundOlder patients undergoing emergency laparotomy have high morbidity and mortality rates. Preoperative risk assessment with good predictors is an appropriate measure in this population. Frailty status is significantly associated with postoperative outcomes in older adults. This study aimed to investigate the effect of preoperative risk factors and frailty on short-term outcomes following emergency surgery for acute abdomen in older patients.MethodsThis study included older patients (≥65 years of age) who underwent emergency abdominal surgery. We retrospectively analyzed their demographic and clinical variables and used the modified Frailty Index-11 to evaluate their frailty status. The primary outcome was the 30-day mortality rate. We also analyzed risk factors of mortality in these patients.ResultsThe study included 150 patients with a median age of 74 years. The mortality rate was 17.3% (n=26). We observed significantly higher mortality rates in patients who were obese and who had higher American Society of Anesthesiology (ASA grades) (p<0.05). Frailty status was worse in deceased group (p<0.001), when compared to individuals who survived. Septic shock was associated with the development of mortality (p<0.001). Multivariate regression analysis revealed that ASA grade was the only independent risk factor for mortality (odds ratio=19.642; 95% confidence interval, 3.886–99.274; p<0.001).ConclusionOlder patients with obesity and frailty presenting with higher ASA grades and septic shock had the worst survival following emergency abdominal surgery. The ASA grade was an independent risk factor for mortality.

Abdominal hysterectomy and high frailty score are associated with complications among older patients.

To evaluate effects of frailty and hysterectomy route on 30-day postoperative morbidity for older hysterectomy patients. Participants included patients in the American College of Surgeons' National Surgical Quality Improvement Program database aged 60years or older and undergoing simple hysterectomy from 2014 to 2018. The Five-Factor Modified Frailty Index approximated frailty: women with scores of 3 or more, indicating more severe comorbidities, were considered frail. Logistic regression multivariable models with and without an interaction term were used to study the independent and interactive effects of frailty and route on postoperative complications. Of 19888hysterectomies, 4356 (21.9%) were abdominal, 13382 (67%) were laparoscopic, and 2150 (10.8%) were vaginal, with 251 (1.3%) frail patients. Frailty (odds ratio [OR] 1.89, 95% confidence interval [CI] 1.32-2.70, P=0.001) and abdominal versus laparoscopic hysterectomy (OR 2.14, 95% CI 1.88-2.45, P<0.001) increased complication odds. Assessing interaction, complication odds for abdominal versus laparoscopic hysterectomy were higher for frail patients (OR 4.12, 95% CI 1.96-8.67, P<0.001) versus non-frail patients (OR 2.10, 95% CI 1.84-2.40). Frail older patients have increased risk for hysterectomy complications, especially with abdominal hysterectomy versus laparoscopic hysterectomy. A frailty index can be a useful preoperative tool to guide counseling and route choice.

Effects of reversible cognitive frailty on disability, quality of life, depression, and hospitalization: a prospective cohort study

Objectives Cognitive frailty, a potentially reversible condition describing the concurrence of physical frailty and mild cognitive impairment (MCI), has been recently proposed to incorporate subjective cognitive decline (SCD), a reversible pre-MCI state with more readily available cognitive reserve, as well as pre-physical frailty. Reversible cognitive frailty has been associated with dementia and mortality. We aimed to examine the association of reversible cognitive frailty with other adverse outcomes including disability, poor quality of life (QOL), depression, and hospitalization. Methods This was a cohort study with 1-year follow-up among 735 Chinese community-dwelling older adults with intact cognition. Reversible cognitive frailty was operationalized with the presence of pre-physical or physical frailty identified by the Frailty Phenotype and SCD identified by the simplified SCD questionnaire including four self-report cognitive domains of memory, naming, orientation, and mathematical reasoning. Adverse outcomes included incident Activities of Daily Living (ADL)-Instrumental ADL (IADL) disability, poor physical, mental and overall QOL, depression, and hospitalization over 1-year follow-up. Results The prevalence of reversible cognitive frailty was 27.8%. Participants with reversible cognitive frailty had higher risk of the incidence of ADL-IADL disability, poor physical QOL, poor mental QOL, poor overall QOL, and depression (Odds Ratios: 1.67–4.38, P < 0.05), but not higher risk of hospitalization over 1-year follow-up. Conclusion Reversible cognitive frailty was not uncommon and associated with incident disability, poor QOL, and depression among community-dwelling older adults. Early identification of reversible cognitive frailty can facilitate targeted interventions and may promote independence in older adults. Supplemental data for this article is available online at http://dx.doi.org/10.1080/13607863.2021.2011835

204 FRAILTY BUT NOT AGE IS ASSOCIATED WITH IMPAIRED ORTHOSTATIC CEREBRAL OXYGENATION

Abstract Background The effects of age and frailty on cerebrovascular function are poorly understood. Here we investigate the hypotheses that aging, and frailty are accompanied by impaired regulation of cerebral oxygenation during standing in a patient population of older adults. Methods We recruited patients from a national Falls and Syncope service. All patients underwent an active stand test (5–10 min lying, 3 min standing) with continuous monitoring of blood pressure (BP) and heart rate. Tissue saturation index (TSI) was concurrently measured using near-infrared spectroscopy and its recovery measured at 30s after standing. Frailty was assessed as a comorbidity count using a 27-item questionnaire. Robust linear regression was used to investigate the association between TSI, age and frailty in a multivariate model with covariate adjustment, including the concurrent BP values. A p-value &amp;lt;0.05 was considered significant. Results 304 patients (median(IQR): 71(14) years, 57% females) were recruited. Age was not associated with cerebral oxygenation after standing (β: −0.001 (−0.017 0.015), p = 0.899), even after stratification by sex (males: β: −0.010 (−0.045 0.024), p = 0.558, females: β: 0.000 (−0.017 0.018), p = 0.967). Frailty, was associated with a lower TSI at 30s after standing (β: −0.153 (−0.248–0.058), p = 0.002). After sex stratification, no associations with frailty were observed in males (β: −0.052 (−0.226 0.123), p = 0.557), while frailer females demonstrated a lower TSI at 30 seconds after standing (β: −0.179 (−0.294–0.063), p = 0.003) despite BP correction. Conclusion Our results suggest alternative mechanisms of cerebral oxygenation regulation independent of blood pressure (and presumably cerebral autoregulation) are involved in frailty related impairments of brain haemodynamics which are also independent of ageing. Such impairments represent novel biomarkers of frailty and represent potentially novel modifiable risk factors (independent of BP management) of hypoperfusion related disorders in clinical ageing.

Abstract 13852: Key Value of Inspiratory Muscle Performance and Training in a Home-Based Program to Improve Functional Capacity in Older Heart Failure Patients

Introduction: Patients with heart failure (HF) often have reduced exercise tolerance. Exercise training has putative value but is often limited by poor adherence or the effects of frailty. Baseline inspiratory muscle performance (IMP) may predict exercise limitation, and inspiratory muscle training (IMT) may have important clinical benefit, including offsetting the metaboreflex which may improve functional capacity by reducing sympathetic peripheral vasoconstriction induced by respiratory fatigue. We hypothesize that low IMP is an important predictor of exercise performance in older adults with HF and that IMT may be an effective home-based training program. Methods: Thirty-four male patients with HF (age and left ventricular ejection fraction of 69±7 years and 37±11%, respectively) were randomized into IMT (n=11) or aerobic and/or strength training (AST; n=23) for a 12-week home-based program. IMT was performed progressively from 50-85% of maximal inspiratory pressure (MIP) with the PrO 2 device (Smithfield, RI) which tracked data and adherence for comparison to AST regimens of cycle ergometry/walking and strength training individually advanced to achieve moderate to high intensities. Study endpoints included MIP, peak oxygen uptake (VO 2 ), 6-minute walk distance (6MWD), 30-second sit-to-stand (STS), grip strength, and leg strength (endurance, 1-rep max, and power). Results: IMT was well-tolerated with greater adherence (92±10% vs 79±34%) and a significantly greater MIP rise (25.3±25.0% vs 3.6±11.0%, p&lt;0.05). Baseline MIP greater than the median of 66 cmH 2 O across all exercise forms (n=18) was associated with significantly greater baseline and post-intervention peak VO 2 (16.4±5.0 vs 12.9±3.9 and 17.5±5.3 vs 13.4±3.1, p&lt;0.05) and was significantly correlated positively to change in 6MWD, STS, grip strength, and leg strength (r=0.352-0.504, p&lt;0.05). Conclusion: Home-based IMT significantly improved IMP and greater baseline IMP was associated with greater cardiorespiratory fitness, functional capacity, and trainability in older HF patients due likely to metaboreflex attenuation and greater adherence. Further study is needed to assess IMP and IMT performed alone or combined with AST regimens to address the growing HF population.

Hospital Frailty Risk Score Is Independently Associated with Mortality and Encephalopathy in Hospitalized Patients with Hepatocellular Carcinoma.

Frailty represents a state of vulnerability to multiple internal physiologic factors, as well as external pressures, and has been associated with clinical outcomes. We aim to understand the impact of frailty on patients admitted with hepatocellular carcinoma (HCC) by using the validated Hospital Frailty Risk Score, which is implemented in several hospitals worldwide. We conducted a nation-wide retrospective cohort study to determine the effect of frailty on the risk of in-patient mortality, hepatic encephalopathy, length of stay and cost. Frailty was associated with a 4.5-fold increased risk of mortality and a 2.3-fold increased risk of hepatic encephalopathy. Adjusted Cox regression showed that frailty was correlated with increased risk of in-patient mortality (hazard ratio: 2.3, 95% CI 1.9–2.8, p < 0.001). Frail HCC patients had longer hospital stay (median 5 days) vs. non-frail HCC patients (median 3 days). Additionally, frail patients had higher total costs of hospitalization ($40,875) compared with non-frail patients ($31,667). Frailty is an independent predictor of hepatic encephalopathy and in-patient mortality. Frailty is a surrogate marker of hospital length of stay and cost.

The clinical impact of frailty on the postoperative outcomes of patients undergoing gastrectomy for gastric cancer: a propensity-score matched database study.

Frailty aggregates a composite of geriatric and elderly features that is classified into a singular syndrome; literature thus far has proven its influence over postoperative outcomes. In this study, we evaluate the effects of frailty following gastrectomy for gastric cancer. 2011-2017 National Inpatient Sample was used to isolate patients with gastric cancer undergoing gastrectomy; from this, the Johns Hopkins ACG frailty criteria were applied to segregate frailty-present and absent populations. The case-controls were matched using propensity-score matching and compared to various endpoints. Post match, there were 1171 with and without frailty who were undergoing gastrectomy for gastric cancer. Those with frailty had higher mortality (6.83 vs 3.50% p < 0.001, OR 2.02 95% CI 1.37-2.97), length of stay (16.7 vs 12.0d; p < 0.001), and costs ($191,418 vs $131,367; p < 0.001); frail patients also had higher rates of complications including wound complications (3.42 vs 0.94% p < 0.001, OR 3.73 95% CI 1.90-7.31), infection (5.98 vs 3.67% p = 0.012, OR 1.67 95% CI 1.13-2.46), and respiratory failure (6.32 vs 3.84% p = 0.0084, OR 1.69 95% CI 1.15-2.47). In multivariate, those with frailty had higher mortality (p < 0.001, aOR 2.04 95% CI 1.38-3.01), length of stay (p < 0.001, aOR 1.40 95% CI 1.37-1.43), and costs (p < 0.001, aOR 1.46 95% CI 1.46-1.46). This study finding demonstrates the presence of frailty is an independent risk factor of adverse outcomes following gastrectomy; as such, it is important that these high-risk patients are stratified preoperatively and provided risk-averting procedures to alleviate their frailty-defining features.

Effect of frailty on kinematic characteristics of walking in community-dwelling elders.

Frailty has ahigh prevalence in elders and impairs motor ability. This study aimed to investigate the influence caused by frailty in kinematic characteristics of walking and walking strategy adjustment from static standing to stable walking. In this study, 80community-dwelling elders performed tests. The Kihon checklist (KCL) was used to assess frailty. The timed up and go test (TUGT) and the 30-s chair stand test (30-sCST) were used to assess balance and muscle strength. The Xsens MVN BIOMECH Awinda was used to collect walking kinematic data. This study included 25robust, 30prefrail, and 25frail elders. The TUGT completed time (P < 0.001) and the 30-sCST completed number (P = 0.002) had statistical differences among groups. The maximum peak of knee internal rotation showed an interaction between the frailty and the walking phase (P = 0.015). The peak angle of hip adduction, hip and knee flexion, and knee and ankle internal rotation were significantly lower in frail elders than others (P < 0.05). Frailty affects the kinematic characteristics of walking, resulting in the hip, knee, and ankle flexion, hip adduction, knee and ankle internal rotation reduced. Besides, frailty has aspecific negative effect on the walking strategy adjustment from static standing to stable walking.

Co-designing Being Your Best program-A holistic approach to frailty in older community dwelling Australians.

Frailty is a condition characterised by increased vulnerability and decline of physical and cognitive reserves, most often affecting older people. This can lead to a cascade of repeated hospitalisations, further decline and ultimately loss of independence. Frailty and pre-frailty are modifiable; interventions such as physical exercise, cognitive training, social connection and improved nutrition, especially in a group setting, can mitigate frailty. Existing healthcare guidelines for managing frailty focus predominantly on falls, delirium, acute confusion and immobility. Uptake of referrals to services following hospital discharge is sub-optimal, indicating that a more proactive, person-centred and integrated approach to frailty is required. The aim was to co-design a program to help pre-frail and frail older people return to their homes following hospital discharge by increasing resilience and promoting independence. We engaged healthcare consumers, and healthcare professionals from three tertiary hospitals in metropolitan Melbourne (Alfred Hospital, Monash Health and Cabrini Health), and from Bolton Clarke home-based support services. Co-design is a process whereby the input of service consumers is included in the development of a program. In the healthcare sector, co-design involves discussions with healthcare consumers alongside healthcare professionals to identify issues and build knowledge to ultimately work on improving the healthcare system. From co-design sessions with 23 healthcare consumers and 17 healthcare professionals, it was apparent that frailty was perceived to affect physical and mental well-being. The co-design process resulted in refinement of the Being Your Best program to incorporate a holistic approach, addressing four domains supported by research evidence, to improve health and well-being through community- or home-based physical activity, cognitive training, social support and nutritional support. Being Your Best was developed in consultation with older people with lived experience as well as healthcare professionals and aims to mitigate the effects of frailty, and will now be tested for feasibility and acceptability.

The effect of frailty on in-hospital and medium-term mortality of patients with COronaVIrus Disease-19: the FRACOVID study.

Older people hospitalized for COVID-19 are at highest risk of death. Frailty Assessment can detect heterogeneity in risk among people of the same chronological age. We investigated the association between frailty and in-hospital and medium-term mortality in middle-aged and older adults with COVID-19 during the first two pandemic waves. This study is an observational multicenter study. We recorded sociodemographic factors (age, sex), smoking status, date of symptom onset, biological data, need for supplemental oxygen, comorbidities, cognitive and functional status, in-hospital mortality. We calculated a Frailty Index (FI) as the ratio between deficits presented and total deficits considered for each patient (theoretical range 0-1). We also assessed the Clinical Frailty Scale (CFS). Mortality at follow-up was ascertained from a regional registry. In total, 1344 patients were included; median age 68 years (Q1-Q3, 56-79); 857 (64%) were men. Median CFS score was 3 (Q1-Q3 2-5) and was lower in younger vs. older patients. Median FI was 0.06 (Q1-Q3 0.03-0.09) and increased with increasing age. Overall, 244 (18%) patients died in-hospital and 288 (22%) over a median follow-up of 253 days. FI and CFS were significantly associated with risk of death. In two different models using the same covariates, each increment of 0.1 in FI increased the overall hazard of death by 35% (HR=1.35, 95%CI 1.23-1.48), similar to the hazard for each increment of CFS (HR=1.37, 95%CI 1.25-1.50). Frailty, assessed with the FI or CFS, predicts in-hospital and medium-term mortality and may help estimate vulnerability in middle-aged and older COVID-19 patients.

Gait-based Frailty Assessment using Image Representation of IMU Signals and Deep CNN.

Frailty is a common and critical condition in elderly adults, which may lead to further deterioration of health. However, difficulties and complexities exist in traditional frailty assessments based on activity-related questionnaires. These can be overcome by monitoring the effects of frailty on the gait. In this paper, it is shown that by encoding gait signals as images, deep learning-based models can be utilized for the classification of gait type. Two deep learning models (a) SS-CNN, based on single stride input images, and (b) MS-CNN, based on 3 consecutive strides were proposed. It was shown that MS-CNN performs best with an accuracy of 85.1%, while SS-CNN achieved an accuracy of 77.3%. This is because MS-CNN can observe more features corresponding to stride-to-stride variations which is one of the key symptoms of frailty. Gait signals were encoded as images using STFT, CWT, and GAF. While the MS-CNN model using GAF images achieved the best overall accuracy and precision, CWT has a slightly better recall. This study demonstrates how image encoded gait data can be used to exploit the full potential of deep learning CNN models for the assessment of frailty.