ABSTRACT
Global aging is rapidly accelerating, which significantly influences the health systems worldwide. Frailty emerges as the most conspicuous hallmark of aging, imposing novel global health challenges. Characterized by a multifaceted decline across physiological system, frailty diminishes an individual's capacity to maintain equilibrium in the presence of stressors, which leads to adverse outcomes such as falls, delirium, and disability. Several screening tools and interventions have been developed to mitigate the harm caused by frailty to human health, but research on frailty in mainland China commences belatedly with scant studies conducted. Therefore, it is imperative to explore screening methods and treatment modalities tailored to the Chinese context, thereby enhancing the older adults' quality of life and advancing social medicine. This review aims to elucidate the evolution, diagnosis, and management of frailty, alongside the challenges it poses, with the overarching goal of guiding future diagnostic and therapeutic endeavors. Specifically, we summarized the mechanisms of frailty and intervention strategies in elderly people, and meanwhile, we evaluated the advantages and disadvantages of different measurement tools.
Subject(s)
Frail Elderly , Frailty , Geriatric Assessment , Quality of Life , Humans , Aged , Frailty/diagnosis , Geriatric Assessment/methods , China , Aging/physiology , Accidental Falls/prevention & control , Aged, 80 and overABSTRACT
BACKGROUND: Frailty is a multidimensional geriatric syndrome associated with physical, psychological and social changes. There is a paucity of research on frailty in Sub-Saharan African (SSA) countries, especially Ethiopia. OBJECTIVES: To assess the initial correlations among frailty, nutritional status, depression and QOL (quality of life) in a group of older people in Ethiopia who are later enrolled in a study examining the effects of a nurse-led community intervention on frailty and related health outcomes. METHODS: Data from 68 community-dwelling individuals 60 years of age, or over, were collected. Frailty was measured using the Amharic version of the Tilburg Frailty Indicator. The statistical analysis included Spearman's rank correlation coefficient for degrees of association, Mann-Whitney U-test for variables with two categories and Kruskal-Wallis for variables with three or more categories. RESULTS: The mean frailty score for participants was 7.3 (±1.9). Participants with higher frailty scores had lower nutritional status (rs = -0.46, p < 0.01). There was a statistically significant relationship (positive) between frailty scores and depression (rs = 0.39, p < 0.01). Depressed (Md = 9, n = 23) and non-depressed frail older people (Md = 7, n = 45) showed a significant difference in their overall frailty score, U = 330.50, z = -2.49, p = 0.01, r = 0.30. There was an inverse significant association between the level of frailty across different domains in the QOL: physical (rs = -0.44, p < 0.01), psychological (rs = -0.45, p < 0.01), social relations (rs = -0.29, p < 0.05) and environmental (rs = -0.47, p < 0.01). CONCLUSION: The findings from this study were consistent with those from across middle-income and high-income countries. IMPLICATIONS FOR PRACTICE: This research indicates that older people living in communities who are identified as frail often suffer from a poor nutritional status, depression and reduced QOL. It suggests that healthcare professionals in Sub-Saharan countries would benefit from recognising the frailty in this population, and developing interventions aimed at enhancing nutrition, mental health and overall well-being.
Subject(s)
Depression , Frail Elderly , Frailty , Geriatric Assessment , Nutritional Status , Quality of Life , Humans , Aged , Male , Female , Ethiopia/epidemiology , Depression/epidemiology , Depression/psychology , Aged, 80 and over , Middle Aged , Frailty/epidemiology , Frail Elderly/psychology , Independent LivingABSTRACT
OBJECTIVES: To review current evidence on using the geriatric nutritional risk index (GNRI) in predicting postoperative delirium (POD) in elderly patients. METHODS: The literature search was performed in core databases to include all the cohort studies on the association between GNRI and risk of POD for further meta-analysis. RESULTS: A total of 6 studies with 4242 patients underwent this meta-analysis, which showed that the risk of POD was higher in patients with moderate and high GNRI than the ones with low GNRI (odds ratio [OR]=2.04, 95% confidence interval [CI] [1.58, 2.64], p<0.001), and moderate and high GNRI significantly increased the risk of POD in patients of 60 to 75 years or above [OR=1.98, 95%CI (1.49, 2.62), p<0.001; OR=2.79, 95%CI (1.38, 5.64), p=0.004, respectively]. CONCLUSION: Therefore, moderate and high GNRI increased the risk of POD in elderly patients.
Subject(s)
Delirium , Geriatric Assessment , Postoperative Complications , Humans , Aged , Postoperative Complications/epidemiology , Postoperative Complications/etiology , Delirium/epidemiology , Delirium/etiology , Delirium/diagnosis , Geriatric Assessment/methods , Risk Factors , Nutrition Assessment , Risk Assessment/methods , Middle Aged , Nutritional Status , Aged, 80 and overABSTRACT
With the aging population, older adults constitute a growing proportion of the new cancer cases. Given the heterogeneous health status among older adults and their susceptibility to aging-related vulnerabilities, understanding their diversity and its implications becomes increasingly crucial for prognostication and guiding diagnostics, treatment decisions, and follow-up, as well as informing supportive care interventions. Geriatric assessment and management (GAM) refers to the comprehensive evaluation of an older individual's health status with subsequent management plans focusing on both oncologic and non-oncologic interventions. In 2019, the European Society for Medical Oncology (ESMO) and the International Society of Geriatric Oncology (SIOG) established the ESMO/SIOG Cancer in the Elderly Working Group. This position paper reflects the recommendations of the working group. Our paper summarizes the existing evidence with a focus on recent key trials and based on this, we propose several recommendations and future directions.
Subject(s)
Geriatric Assessment , Neoplasms , Humans , Geriatric Assessment/methods , Aged , Neoplasms/therapy , Medical Oncology/standards , Medical Oncology/methods , Aged, 80 and over , Geriatrics/methodsABSTRACT
AIM: Geriatric patients are increasingly dominating the daily routine in emergency department (ED). The atypical clinical presentation of disease, multimorbidity, frailty and cognitive impairment of geriatric patients pose particular challenges for triage in the ED. Efficient and accurate emergency triage plays a key role in differentiating between geriatric patients who need timely treatment and those who can wait safely. The purpose of this study was to evaluate the performance of the modified Manchester Triage System (mMTS) in classifying geriatric patients. DESIGN: An observational retrospective study. METHODS: A retrospective study of 18,796 geriatric patients (≥65 years) attending the ED of a tertiary care hospital in Zhejiang province between 1 June 2020 and 30 June 2022. Baseline information on patients was collected and divided into two different study groups according to triage level: high priority (red/orange) and low priority (yellow/green). The sensitivity and specificity of the mMTS were estimated by verifying the triage classification received by the emergency geriatric patients and their survival at 7 days or the need for acute surgery within 72 h. RESULTS: The study included a total of 17,764 geriatric patients with a median age of 72 years in ED. 10.7% (1896/17,764) of the geriatric patients were assigned to the high priority code group (red/orange) and 89.3% (15,868/17,764) were in the low priority code group (yellow/green). The sensitivity of the mMTS associated with death within 7 days was 85.7% (77.5-91.4), specificity was 89.8% (89.3-90.2), and accuracy was 89.8% (89.3-90.2). 1.8% of patients required surgery within 72 h. The sensitivity was 62.6% (57.0-67.9), specificity was 90.3% (89.8-90.7), and negative predictive value was 99.2% (99.0-99.4). CONCLUSIONS: The mMTS has good specificity, accuracy and negative predictive value for geriatric patients. However, its incorrect prediction of triage in high-priority code patients results in lower sensitivity, which may serve as a protective strategy for these individuals. The current emergency triage system does not completely screen geriatric patients with severe acute illness who present to the ED, and it is necessary to add comprehensive assessment tools that match the characteristics of geriatric patients to improve triage outcomes.
Subject(s)
Emergency Service, Hospital , Geriatric Assessment , Triage , Humans , Triage/methods , Aged , Retrospective Studies , Male , Female , Aged, 80 and over , Geriatric Assessment/methods , China , Sensitivity and SpecificityABSTRACT
BACKGROUND: To establish and validate the criterion-referenced standards of functional fitness in predicting physical independence in 80 + years. METHODS: A group of 2,749 older community dwellers (60-84 years) were recruited, and 2,050 were identified with moderate-to-high independent living ability according to the proposed minimum composite physical function score. The Senior Fitness Test battery was applied to measure functional fitness at five-year intervals. The declining rate for each fitness dimension was calculated based on the differences between any two adjacent age groups and was adjusted according to the reported degradation rate differences between the cross-sectional and longitudinal studies. RESULTS: The age-and-sex-specific criterion-referenced standards were identified for muscle strength, cardiovascular endurance, and dynamic balance that older adults should possess at 60-79 to maintain independent living abilities. Moderate to high consistency (k = 0.622-0.650) and associations (φ = 0.641-0.694) were found between the predicted physical independence by criterion-referenced standards of functional fitness and the results from the composite physical function scale. Moreover, the predicted independent living abilities in later years from the criterion-referenced standards of functional fitness showed high test-retest reliability (Pa = 0.90-0.96). CONCLUSION: The criterion-referenced standards for functional fitness are valid and reliable to predict independent living abilities in later years, and provide the threshold to identify the limitations in physical fitness and detect the risks of functional disabilities among older adults in an early stage.
Subject(s)
Geriatric Assessment , Independent Living , Physical Fitness , Humans , Aged , Male , Female , Aged, 80 and over , Physical Fitness/physiology , Middle Aged , Independent Living/trends , Geriatric Assessment/methods , Cross-Sectional Studies , Longitudinal Studies , Reproducibility of Results , Muscle Strength/physiologyABSTRACT
BACKGROUND: Hip fractures in older people result in increased mortality. OBJECTIVE: We developed and validated an accurate and simple prognostic scoring system for hip fractures that can be used preoperatively. DESIGN: Retrospective study. SETTING: Multicenter. PARTICIPANTS: Patients aged ≥65 years with hip fractures who underwent surgery between 2011 and 2021 were enrolled. METHODS: The significant factors were determined with logistic regression analysis, and a scoring system was developed. The patients were classified into three groups, and a log-rank test was performed to evaluate 1-year survival rates. The model was internally and externally validated using the 5-fold cross-validation and data from another hospital, respectively. RESULTS: We included 1026 patients. The analysis revealed eight significant prognostic factors: sex, body mass index, history of chronic heart failure and malignancy, activities of daily living (ADLs) before injury, hemoglobin and the prognostic nutritional index (PNI) at injury, and the American Society of Anesthesiologists Physical Status. The area under the receiver operating characteristic curve (AUC) after internal validation was 0.853. The external validation data consisted of 110 patients. The AUC of the model for the validation data was 0.905, showing outstanding discrimination. Sensitivity and specificity were 88.7% vs. 100% and 93.3% vs. 95.2% for the development and validation data, respectively. CONCLUSIONS: We developed and validated an accurate and simple prognostic scoring system for hip fractures using only preoperative factors. Our findings highlight PNI as an important predictor of prognosis in hip fracture patients.
Subject(s)
Hip Fractures , Humans , Hip Fractures/mortality , Hip Fractures/surgery , Male , Female , Aged , Retrospective Studies , Aged, 80 and over , Prognosis , Risk Assessment/methods , Risk Factors , Geriatric Assessment/methods , Reproducibility of Results , Activities of Daily Living , Predictive Value of Tests , ROC Curve , Age FactorsABSTRACT
This review presents a targeted examination of the application of comprehensive geriatric assessment tools across various cardiovascular pathologies, including acute coronary syndrome, myocardial infarction, acute and chronic heart failure, and aortic stenosis. It has been demonstrated that assessing patient frailty in cardiovascular pathology is crucial for determining both short-term and long-term prognosis, as well as for evaluating the risk of various complications during cardiac surgical interventions. Currently, there is active research into necessary measures aimed at improving outcomes in frail elderly patients with cardiovascular diseases, such as interdisciplinary rehabilitation and geriatric approaches. Frail patients with cardiovascular diseases should be considered as requiring a personalized approach in the provision of cardiological care, with a deep understanding of geriatric issues in the elderly, to reduce complications and improve prognosis.
Subject(s)
Cardiovascular Diseases , Geriatric Assessment , Humans , Geriatric Assessment/methods , Aged , Cardiovascular Diseases/diagnosis , Cardiovascular Diseases/physiopathology , Frail Elderly , Frailty/diagnosis , Frailty/physiopathology , Prognosis , Cardiology/methodsABSTRACT
This article presents the incidence of geriatric syndromes in patients with chronic heart failure 65 years of age and older, depending on cognitive status. At the Russian gerontological center, 149 people with confirmed chronic heart failure were selected according to the European criteria of 2021. In this sample, 50,3% of patients had mild cognitive impairment, and 17,5% had severe cognitive impairment. With age, the incidence and severity of cognitive impairment increased. Among patients with cognitive impairment, there were more patients with reduced basic and instrumental activities of daily living, with a high risk of malnutrition and malnutrition, frailty and patients with hearing loss. Also, as cognitive functions declined, the median score of the Barthel and Lawton index, the mini nutritional assessment, the short physical performance battery, the Lubben social network scale decreased, and the median of the Morse fall risk scale and the geriatric depression scale increased. The presence of hearing loss was associated with a 3,6-fold increase in the odds of being diagnosed with cognitive impairment, and the presence of frailty syndrome, basic dependence in daily life, or the risk of malnutrition by a 2,4-fold increase.
Subject(s)
Activities of Daily Living , Cognitive Dysfunction , Geriatric Assessment , Heart Failure , Humans , Aged , Female , Heart Failure/epidemiology , Heart Failure/psychology , Heart Failure/physiopathology , Heart Failure/complications , Male , Geriatric Assessment/methods , Cognitive Dysfunction/epidemiology , Cognitive Dysfunction/etiology , Cognitive Dysfunction/physiopathology , Cognitive Dysfunction/diagnosis , Russia/epidemiology , Aged, 80 and over , Frailty/epidemiology , Frailty/psychology , Frailty/physiopathology , Frailty/diagnosis , Malnutrition/epidemiology , Malnutrition/diagnosis , Malnutrition/psychology , Malnutrition/physiopathology , Chronic Disease , Incidence , Hearing Loss/epidemiology , Hearing Loss/diagnosis , Hearing Loss/psychology , Hearing Loss/physiopathology , Syndrome , Nutrition AssessmentABSTRACT
BACKGROUND: The binary diagnosis of Metabolic Syndrome(MetS) fails to accurately evaluate its severity, and the association between MetS severity and frailty progression remains inadequately elucidated. This study aims to clarify the relationship between the severity of MetS and the progression of frailty among the middle-aged and elderly population in China. METHOD: Participants from the 2011-2018 China Health and Retirement Longitudinal Study(CHARLS) were included for a longitudinal analysis. The study employs a frailty index(FI) based on 32 health deficits to diagnose frailty and to assess FI trajectories. An age-sex-ethnicity-specific MetS scoring model (MetS score) was used to assess metabolic syndrome severity in Chinese adults. The Cumulative MetS score from 2012 to 2015 was calculated using the formula: (MetS score in wave 1 + MetS score in wave 3) / 2 × time(2015 - 2012). The association between MetS score, Cumulative MetS score, and the risk and trajectory of frailty were evaluated using Cox regression/logistic regression, and linear mixed models. Restricted Cubic Splines(RCS) models were utilized to detect potential non-linear associations. RESULTS: A higher MetS score was significantly associated with an increased risk of frailty(HR per 1 SD increase = 1.205; 95%CI: 1.14 to 1.273) and an accelerated FI trajectory(ß per 1 SD increase = 0.113 per year; 95%CI: 0.075 to 0.15 per year). Evaluating changes in MetS score using a Cumulative MetS score indicated that each 1 SD increase in the Cumulative MetS score increased the risk of frailty by 22.2%(OR = 1.222; 95%CI: 1.133 to 1.319) and accelerated the rate of increase in FI(ß = 0.098 per year; 95%CI: 0.058 to 0.138 per year). RCS model results demonstrated a dose-response curve relationship between MetS score and Cumulative MetS score with frailty risk. Stratified analysis showed consistency across subgroups. The interaction results indicate that in males and individuals under aged 60, MetS score may accelerate the increase in FI, a finding consistent across both models. CONCLUSIONS: Our findings underscore the positive correlation between the severity of MetS and frailty progression in the middle-aged and elderly, highlighting the urgent need for early identification of MetS and targeted interventions to reduce the risk of frailty.
Subject(s)
Disease Progression , Frail Elderly , Frailty , Geriatric Assessment , Metabolic Syndrome , Severity of Illness Index , Humans , Metabolic Syndrome/epidemiology , Metabolic Syndrome/diagnosis , Metabolic Syndrome/physiopathology , Frailty/diagnosis , Frailty/epidemiology , Frailty/physiopathology , Male , Female , Longitudinal Studies , China/epidemiology , Aged , Middle Aged , Risk Assessment , Risk Factors , Age Factors , Time Factors , Aged, 80 and over , Prognosis , East Asian PeopleABSTRACT
BACKGROUND: Insulin resistance is linked to an increased risk of frailty, yet the comprehensive relationship between the triglyceride glucose-body mass index (TyG-BMI), which reflects weight, and frailty, remains unclear. This relationship is investigated in this study. METHODS: Data from 9135 participants in the China Health and Retirement Longitudinal Study (2011-2020) were analysed. Baseline TyG-BMI, changes in the TyG-BMI and cumulative TyG-BMI between baseline and 2015, along with the frailty index (FI) over nine years, were calculated. Participants were grouped into different categories based on TyG-BMI changes using K-means clustering. FI trajectories were assessed using a group-based trajectory model. Logistic and Cox regression models were used to analyse the associations between the TyG-BMI and FI trajectory and frail incidence. Nonlinear relationships were explored using restricted cubic splines, and a linear mixed-effects model was used to evaluate FI development speed. Weighted quantile regression was used to identify the primary contributing factors. RESULTS: Four classes of changes in the TyG-BMI and two FI trajectories were identified. Individuals in the third (OR = 1.25, 95% CI: 1.10-1.42) and fourth (OR = 1.83, 95% CI: 1.61-2.09) quartiles of baseline TyG-BMI, those with consistently second to highest (OR = 1.49, 95% CI: 1.32-1.70) and the highest (OR = 2.17, 95% CI: 1.84-2.56) TyG-BMI changes, and those in the third (OR = 1.20, 95% CI: 1.05-1.36) and fourth (OR = 1.94, 95% CI: 1.70-2.22) quartiles of the cumulative TyG-BMI had greater odds of experiencing a rapid FI trajectory. Higher frail risk was noted in those in the fourth quartile of baseline TyG-BMI (HR = 1.42, 95% CI: 1.28-1.58), with consistently second to highest (HR = 1.23, 95% CI: 1.12-1.34) and the highest TyG-BMI changes (HR = 1.58, 95% CI: 1.42-1.77), and those in the third (HR = 1.10, 95% CI: 1.00-1.21) and fourth quartile of cumulative TyG-BMI (HR = 1.46, 95% CI: 1.33-1.60). Participants with persistently second-lowest to the highest TyG-BMI changes (ß = 0.15, 0.38 and 0.76 respectively) and those experiencing the third to fourth cumulative TyG-BMI (ß = 0.25 and 0.56, respectively) demonstrated accelerated FI progression. A U-shaped association was observed between TyG-BMI levels and both rapid FI trajectory and higher frail risk, with BMI being the primary factor. CONCLUSION: A higher TyG-BMI is associated with the rapid development of FI trajectory and a greater frail risk. However, excessively low TyG-BMI levels also appear to contribute to frail development. Maintaining a healthy TyG-BMI, especially a healthy BMI, may help prevent or delay the frail onset.
Subject(s)
Biomarkers , Blood Glucose , Body Mass Index , Frail Elderly , Frailty , Geriatric Assessment , Triglycerides , Humans , Male , Frailty/epidemiology , Frailty/diagnosis , Frailty/blood , Female , Middle Aged , Aged , China/epidemiology , Incidence , Blood Glucose/metabolism , Triglycerides/blood , Risk Factors , Risk Assessment , Longitudinal Studies , Time Factors , Age Factors , Biomarkers/blood , Insulin Resistance , Prognosis , Aged, 80 and overABSTRACT
BACKGROUND: Social environment may broadly impact multifaceted frailty; however, how environmental differences influence frailty in older adults with diabetes remains unclear. This study aimed to investigate regional differences in frailty in urban and rural areas among older adults with diabetes. METHODS: This cross-sectional study was conducted as part of the frailty prevention program for older adults with diabetes study. Older adults aged 60-80 years who could independently perform basic activities of daily living (ADLs) were enrolled sequentially. Trained nurses obtained patient background, complications, body weight, body composition, blood tests, grip strength, frailty assessment, and self-care score results. Regional differences in frailty were evaluated using logistic and multiple linear regression analyses. RESULTS: This study included 417 participants (269 urban and 148 rural). The prevalence of robustness was significantly lower in rural areas than in urban areas (29.7% vs. 43.9%, p = 0.018). Living in rural areas was associated with frailty (odds ratio [OR] 2.55, 95% confidence interval [CI] 1.38-4.71) and pre-frailty (OR 2.10, 95%CI 1.30-3.41). Lower instrumental ADL (B 0.28, standard error [SE] 0.073) and social ADL (B 0.265, SE 0.097) were characteristics of rural residents. CONCLUSIONS: Regional differences in frailty were observed. Older adults with diabetes living in rural areas have a higher risk of frailty owing to a decline in instrumental and social ADLs. Social environment assessment and intervention programs that include communication strategies to enable care and social participation across environments are crucial to the effective and early prevention of frailty.
Subject(s)
Activities of Daily Living , Diabetes Mellitus, Type 2 , Frail Elderly , Frailty , Humans , Cross-Sectional Studies , Aged , Male , Female , Diabetes Mellitus, Type 2/epidemiology , Frailty/epidemiology , Frailty/diagnosis , Japan/epidemiology , Aged, 80 and over , Middle Aged , Geriatric Assessment/methods , Rural Population , Urban PopulationABSTRACT
This study aimed to explore the association between bone mineral density and physical frailty including nutrition, muscle mass, and oral function. We included participants aged 35-80 years and examined their bone mineral density, serum albumin level, body composition, and variance of hue (VOH) of two-colored gum. We also used the geriatric oral health assessment index (GOHAI). These data were used to calculate the geriatric nutritional risk index (GNRI) and skeletal muscle index (SMI). Multinomial logistic regression was performed to assess the relationship between GNRI, SMI, VOH, GOHAI, and bone mineral density after adjusting for comorbidities, including hypertension, diabetes mellitus, and previous bone fracture. We included 228 participants and classified their bone mineral density as normal, osteopenic, or osteoporotic. Older age (odds ratio (OR) 1.15, 95% confidence interval (CI) [1.08, 1.23]), low GNRI (OR 0.90, 95% CI [0.83, 0.98]), low SMI (OR 0.43, 95% CI [0.27, 0.68]), and high VOH (OR 1.08, 95% CI [1.01, 1.17]) were significantly associated with osteoporosis. Older age (OR 1.08, 95% CI [1.04, 1.11]) and low GNRI (OR 0.93, 95% CI [0.87, 0.99]) were significantly associated with osteopenia. GNRI, SMI, and VOH were significantly associated with osteoporosis among male participants. Although the multinomial logistic regression analysis indicated that GNRI, SMI, VOH, and GOHAI were not significantly associated with osteoporosis or osteopenia among female participants, the demographic distribution showed that older age, low GNRI, and low SMI were significantly associated with bone mineral density decline. Physical frailty, including nutritional decline, muscle mass loss, and poor oral status, is associated with low bone density. This easy-to-use tool can be used to detect osteoporosis early and to prevent osteoporosis and osteoporosis-related fractures.
Subject(s)
Bone Density , Frailty , Independent Living , Oral Health , Osteoporosis , Humans , Aged , Male , Female , Risk Factors , Frailty/epidemiology , Aged, 80 and over , Osteoporosis/epidemiology , Middle Aged , Adult , Geriatric Assessment/methods , Body CompositionABSTRACT
Frailty is a clinical condition associated with aging and resulting in increased risk of adverse outcomes upon exogenous or endogenous stressors. In oncology, cancer treatment itself can be a stressor event. In older cancer patients, frailty therefore not only enhances the probability of age-related health events such as institutionalization or falls, but also of treatment complications such as toxicity and interruption or discontinuation of therapy. As demonstrated by recent randomized-controlled trials conducted in older cancer patients receiving systemic treatment, the evaluation of frailty by geriatric assessment (GA) followed by an adjustment of the oncological therapy as well as targeted frailty interventions help to improve cancer treatment tolerability and feasibility. Based on these data, the American Society of Clinical Oncology (ASCO) updated the clinical practice guidelines for the assessment and management of vulnerabilities in older adults receiving systemic cancer therapy. The guideline recommends the use of a new GA-tool named 'practical geriatric assessment' (PGA) to foster the implementation of GA-based frailty assessment and management in routine cancer care. This article describes the background and key aspects of these recent advances.
Subject(s)
Frailty , Geriatric Assessment , Neoplasms , Humans , Neoplasms/therapy , Aged , Frail Elderly , Practice Guidelines as Topic , Medical Oncology/standards , Aged, 80 and overABSTRACT
The number of elderly and senile patients who are in need of surgical care delivery is growing steadily year over year. This category of patients is characterized by comorbidity, polypragmasy and high prevalence of geriatric syndromes including loss of autonomy, malnutrition and cognitive impairments that increase the risk of developing perioperative complications. Management of these patients at all stages requires a comprehensive multidisciplinary approach. Nevertheless, there is no uniform understanding of solution of this problem at present. Determination of consensus on certain issues using the Delphi method will allow to gather and unite expert opinions. In this regard, the working group formulated the main points of management of elderly and senile patients before, during and after surgical treatment and conducted a cross-sectional analysis of experts' opinions.
Subject(s)
Geriatric Assessment , Humans , Aged , Geriatric Assessment/methods , Consensus , Frail Elderly , Delphi Technique , Frailty/complications , Female , Male , Postoperative Complications/prevention & control , Postoperative Complications/epidemiology , Postoperative Complications/etiology , Patient Care Team/organization & administration , Perioperative Care/methods , Perioperative Care/standards , Cross-Sectional StudiesABSTRACT
OBJECTIVES: This study examined whether a higher dietary inflammatory index (DII®) is associated with the risk of sarcopenic obesity (SO) and frailty among Korean older adults. METHODS: A total of 950 participants aged 70-84 years, who completed the baseline nutrition survey of the Korean Frailty and Aging Cohort Study, were included in the analysis. The DII, quantifying the dietary inflammatory potential, was calculated using 23 foods and nutrients as assessed by a 24-h dietary recall. SO was defined as the coexistence of sarcopenia (dual-energy X-ray absorptiometry-measured appendicular skeletal muscle mass index of < 7.0 for males; <5.4 for females) and abdominal obesity (waist circumference of ≥ 90 cm for males; ≥85 cm for females). Frailty status was assessed using the Fried frailty index (range, 0-5), a simple tool for defining frailty that consists of three or more of five frailty items. Multinomial logistic regression models were used to estimate odds ratios (ORs) with 95% confidence intervals (CIs), adjusting for confounders. RESULTS: The prevalence of SO and frailty was 9.8% and 10.8%, respectively. The DII was significantly higher in the frail group (2.7) compared to the robust and SO groups (2.0 vs. 1.8) (P < 0.001). Among nutrients and foods included in the DII, the frail group exhibited lower vitamin E, niacin, vitamin B6, energy, and protein intakes than the robust and SO groups. Multivariable-adjusted OR (95% CI) for frailty versus robust (comparing DII tertile 3 to tertile 1) was 2.3 (1.1-4.8; P-trend = 0.02). However, no significant association was observed between the DII and SO (OR, 1.1; 95% CI, 0.5-2.1; P-trend = 0.6). CONCLUSIONS: A higher DII score was associated with increased odds of frailty but not with SO in Korean older adults, suggesting that proinflammatory diets have a greater impact on frailty than that on SO in the older population.
Subject(s)
Diet , Frailty , Inflammation , Sarcopenia , Humans , Aged , Male , Female , Aged, 80 and over , Sarcopenia/epidemiology , Sarcopenia/diagnosis , Frailty/epidemiology , Frailty/diagnosis , Inflammation/epidemiology , Diet/methods , Diet/adverse effects , Republic of Korea/epidemiology , Obesity/epidemiology , Obesity/diagnosis , Frail Elderly , Cohort Studies , Geriatric Assessment/methodsABSTRACT
BACKGROUND: A new diagnostic criterion for malnutrition, the Global Leadership Initiative on Malnutrition (GLIM) criteria, has been proposed. Despite a recognized link between malnutrition and oral health, further clarification is needed regarding this association when using the GLIM criteria. This study examined the association between malnutrition and oral health in community-dwelling older adults aged ≥ 85. METHODS: This study was conducted using data from the Tokyo Oldest Old Survey on Total Health study, and altogether 519 participants ≥ 85 years were enrolled. Malnutrition was assessed using the GLIM criteria. Oral health information, on the number of teeth, maximum occlusal force (MOF), saliva production, denture-related questions (dissatisfaction and frequency of use), dental visit history in the past year, whether participants enjoyed meals, and oral-related quality of life was assessed using the Geriatric Oral Health Assessment Index (GOHAI) were collected. MOF was assessed the average values of three measurements and lower tertile by sex as decline in MOF. For GOHAI, the score for each items (Q1-Q12) was also evaluated, and further, the decline in each item (score: 1-2 points on a 5-point scale) was assessed as a "problem with each items." Oral health factors differing between those with and without malnutrition were analyzed. For differing items, malnutrition risk was evaluated using Cox regression. RESULTS: Eighty-nine (17.1%) participants experienced malnutrition. Significant differences were observed in the decline in MOF, enjoyment of meals, individual scores for Q2, Q4, and Q6, and the problem with Q3, Q6, Q7, and Q11. Cox regression analysis showed that decline in MOF (odds ratio [OR]: 1.728, 95% confidence interval [CI]: 1.010-2.959), enjoyment of meals (OR: 0.502, 95% CI: 0.289-0.873), problem with Q3 (OR: 5.474, 95% CI: 1.301-23.028), Q6 (OR: 5.325, 95% CI: 1.026-27.636), and Q7 (OR: 2.867, 95% CI: 1.397-5.882) were associated with ORs of malnutrition. CONCLUSION: Decline in MOF, enjoyment of meals, swallowing problem (problem with Q3), limit contact due to oral condition (problem with Q6), and esthetics problem (problem with Q7) were associated with malnutrition as assessed using the GLIM criteria.
Subject(s)
Independent Living , Malnutrition , Oral Health , Humans , Aged, 80 and over , Cross-Sectional Studies , Female , Male , Quality of Life , Geriatric Assessment , Bite ForceABSTRACT
Objectives: Despite the growing evidence regarding the influence of social factors on frailty in older adults, the effect of social support remains unclear. This study aims to assess the association between social support and frailty progression (transition and incidence) in a sample of community-dwelling older adults. Methods: Using a cohort study design, 1,059 older adults from the Berlin Initiative Study were followed up for 2.1 years. Multinomial and logistic regression analyses were performed to assess the association of social support using Oslo Social Support Scale-3 with frailty transition and incidence, respectively. Gender differences were explored using stratified analyses. Results: At baseline, frailty prevalence in the study population [mean (SD) age 84.3 (5.6) years; 55.8% women] reached 33.1% with 47.0, 29.4 and 23.6% of the participants reporting moderate, strong and poor social support, respectively. Over the follow-up period, social support was not significantly associated with the frailty transition categories in the adjusted model. Conversely, the adjusted logistic regression analysis showed that participants with poor social support had twice the odds of becoming frail compared to those with strong social support (OR 2.07; 95% CI 1.08-3.95). Gender-stratified analyses showed comparable estimates to the main analysis but were statistically non-significant. Discussion: Our study results underpin the role of social factors in frailty incidence and highlight social support as a potential target for frailty-preventing interventions in older adults. Therefore, it is important to adopt a biopsychosocial model rather than a purely biomedical model to understand and holistically improve the health of community-dwelling older adults.
Subject(s)
Frail Elderly , Frailty , Independent Living , Social Support , Humans , Male , Female , Independent Living/statistics & numerical data , Aged, 80 and over , Aged , Frailty/epidemiology , Frail Elderly/statistics & numerical data , Frail Elderly/psychology , Cohort Studies , Prevalence , Incidence , Disease Progression , Logistic Models , Geriatric Assessment/statistics & numerical dataABSTRACT
BACKGROUND: Frailty is a multifactorial syndrome; through this study, we aimed to investigate the physiological, psychological, and social factors associated with frailty and frailty worsening in community-dwelling older adults. METHODS: We conducted a cross-sectional and longitudinal study using data from the "Community Empowerment and Well-Being and Healthy Long-term Care: Evidence from a Cohort Study (CEC)," which focuses on community dwellers aged 65 and above in Japan. The sample of the cross-sectional study was drawn from a CEC study conducted in 2014 with a total of 673 participants. After excluding those who were frail during the baseline assessment (2014) and at the 3-year follow-up (2017), the study included 373 participants. Frailty assessment was extracted from the Kihon Checklist, while social relationships were assessed using the Social Interaction Index (ISI). Variable selection was performed using Least Absolute Shrinkage and Selection Operator (LASSO) regression and their predictive abilities were tested. Factors associated with frailty status and worsening were identified through the Maximum-min Hillclimb algorithm applied to Bayesian networks (BNs). RESULTS: At baseline, 14.1% (95 out of 673) participants were frail, and 24.1% (90 out of 373) participants experienced frailty worsening at the 3-years follow up. LASSO regression identified key variables for frailty. For frailty identification (cross-sectional), the LASSO model's AUC was 0.943 (95%CI 0.913-0.974), indicating good discrimination, with Hosmer-Lemeshow (H-L) test p = 0.395. For frailty worsening (longitudinal), the LASSO model's AUC was 0.722 (95%CI 0.656-0.788), indicating moderate discrimination, with H-L test p = 0.26. The BNs found that age, multimorbidity, function status, and social relationships were parent nodes directly related to frailty. It revealed an 85% probability of frailty in individuals aged 75 or older with physical dysfunction, polypharmacy, and low ISI scores; however, if their social relationships and polypharmacy status improve, the probability reduces to 50.0%. In the longitudinal-level frailty worsening model, a 75% probability of frailty worsening in individuals aged 75 or older with declined physical function and ISI scores was noted; however, if physical function and ISI improve, the probability decreases to 25.0%. CONCLUSION: Frailty and its progression are prevalent among community-dwelling older adults and are influenced by various factors, including age, physical function, and social relationships. BNs facilitate the identification of interrelationships among these variables, quantify the influence of key factors. However, further research is required to validate the proposed model.
Subject(s)
Bayes Theorem , Frail Elderly , Frailty , Independent Living , Humans , Cross-Sectional Studies , Aged , Male , Longitudinal Studies , Female , Japan/epidemiology , Frailty/epidemiology , Aged, 80 and over , Frail Elderly/statistics & numerical data , Frail Elderly/psychology , Geriatric Assessment/methods , Risk Factors , East Asian PeopleABSTRACT
INTRODUCTION: Due to the increasing number of older patients in emergency departments (EDs) with frailty, cognitive impairment and multimorbidity, there is a need for geriatric expertise in EDs. METHODS: This retrospective study is of older patients visiting Turku University Hospital ED between 2 January and 31 December 2022. Patients aged 75 years of older were screened for frailty using Triage Risk Screening Tool (TRST) and Clinical Frailty Scale (CFS). Nonacute, frail patients (CFS ≥4) suitable for Targeted Geriatric Assessment (TGA) (n = 1096) were scanned for the risk of delirium, cognitive impairment, change in functional status, falls, malnutrition and depression. A comprehensive patient record was made with recommendations for future care. RESULTS: TRST was completed in 70% of the ED visits, and two-thirds of those were considered high-risk. Among the patients assessed by the geriatric team (TGA), nonspecific complaint (38%) and falls (35%) were the main reasons for ED admission. Cognitive impairment was present in over 60% and orthostatic hypotension in 40% of the patients. The 72-hour revisit rate for TGA-patients was 2.3%. For the real-life control group, the 72-hour revisit rate was 4.6% (P = .001). Thirty-day revisit rates were 10% and 16%, respectively (P < .001). The need for rehabilitation, cognitive evaluation and intensifying home care were the main recommendations for future care. CONCLUSIONS: TGA approach provides structured and accurate information on older patients' background. This may lead to more precise diagnostics, a thorough consideration of hospital intake and a secure discharge from the ED. Ensuring continuity of care may help to reduce readmissions to EDs.