RESUMO
BACKGROUND: We aimed to examine the relationship of 2 dietary scores [dietary inflammatory index (DII) and composite dietary antioxidant index (CDAI)] with frailty in elderly adults with diabetes. METHODS: Data were gathered from the National Health and Nutrition Examination Survey (NHANES) between 2007 and 2018. The frailty index was calculated using 49 deficits across various systems to define frailty. To examine the relationship of 2 dietary scores (DII and CDAI) with frailty in elderly adults with diabetes, multiple logistic regression analyses were performed. In logistic regression model, DII and CDAI were calculated as both continuous and tertiles. Subgroup analyses were performed to demonstrate stability of results. Restricted cubic splines were utilized to examine the non-linear correlations. RESULTS: A total of 2,795 elderly adults with diabetes were included in this study. In the multivariate logistic regression model, the odds ratio (OR) of DII for risk of frailty was 1.08 (95% CI 1.02-1.15) and the OR of CDAI for risk of frailty was 0.96 (95% CI 0.93-0.99). The ORs of DII for risk of frailty were 1.36 (95% CI 1.09-1.70) and 1.33 (95% CI 1.04-1.70) for tertiles 2 and 3, respectively (p for trend 0.027). The ORs of CDAI for risk of frailty were 0.94 (95% CI 0.75-1.17) and 0.75 (95% CI 0.58-0.98) for tertiles 2 and 3, respectively (p for trend 0.036). The subgroup analysis demonstrated reliable and enduring connections between 2 dietary scores and frailty (all p for interaction > 0.05). In the restricted cubic spline analyses, we discovered the non-linear relationship between DII and frailty (P for nonlinearity = 0.045) and linear relationship between CDAI and frailty (P for nonlinearity = 0.769). CONCLUSION: The research showed connections between 2 dietary scores (DII and CDAI) and frailty as measured by frailty index in elderly adults with diabetes.
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Antioxidantes , Diabetes Mellitus , Fragilidade , Inflamação , Humanos , Idoso , Masculino , Feminino , Fragilidade/epidemiologia , Antioxidantes/administração & dosagem , Inquéritos Nutricionais , Dieta , Idoso Fragilizado , Idoso de 80 Anos ou mais , Fatores de Risco , Pessoa de Meia-Idade , Modelos LogísticosRESUMO
Objective: Current scoring systems for short-term prognosis in patients with acute myocardial infarction (AMI) lack coverage of risk factors and have limitations in risk stratification. The aim of this study was to develop a novel assessment system based on laboratory indicators and frailty quantification to better infer short-term prognosis and risk indication in patients with AMI. Methods: A total of 365 patients with MI from January 2022 to June 2023 in Northern Jiangsu Province Hospital were included. The primary endpoint was all-cause mortality and major adverse cardiac events (MACE) during follow-up. A novel scoring model ranging from 0 to 12 was constructed, and the predictive ability of this scoring system was evaluated using the area under the receiver operating characteristic curve (AUC). Results: During follow-up, 68 patients experienced MACE. Five scoring indicators were selected through multivariate logistic regression analysis, resulting in a composite score with an AUC of 0.925, demonstrating good prognostic accuracy. Conclusion: The novel prognostic assessment system, which integrates age, Stress Hyperglycemia Ratio (SHR), Neutrophil to Lymphocyte Ratio (NLR), lactate, and frailty score, exhibits good predictive value for short-term MACE in patients with acute myocardial infarction and may enable more accurate risk classification for future use in MI patient risk management.
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Fragilidade , Infarto do Miocárdio , Curva ROC , Humanos , Masculino , Infarto do Miocárdio/sangue , Infarto do Miocárdio/diagnóstico , Infarto do Miocárdio/mortalidade , Feminino , Idoso , Estudos Retrospectivos , Fragilidade/diagnóstico , Prognóstico , Pessoa de Meia-Idade , Medição de Risco/métodos , Fatores de Risco , Neutrófilos , Idoso de 80 Anos ou mais , China , Modelos Logísticos , Ácido Láctico/sangueRESUMO
OBJECTIVE: Falls are a serious cause of morbidity and mortality among older people. One of the underlying causes of falls is dehydration. Therefore, ultrasonography has become an essential tool for evaluating volume status in the emergency department. However, the effect of volume status on falls in older people has not been evaluated before. The aim of this study was to determine the relationship between the inferior vena cava collapsibility index and the injury severity score in older patients who presented with fall-related injuries to the emergency department. METHODS: A total of 66 patients were included in the study. The injury severity score was used as the trauma severity score, and the Edmonton Frail Scale was used as the frailty scale. Volume status was evaluated with inferior vena cava collapsibility index. The primary outcome measure was defined as the correlation between inferior vena cava collapsibility index and injury severity score. Secondary outcome measures were defined as the effect of inferior vena cava collapsibility index and injury severity score on hospitalization and mortality. RESULTS: There was no significant correlation between injury severity score and inferior vena cava collapsibility index (p=0.342). Neither inferior vena cava collapsibility index nor injury severity score was an indicator of the mortality of these patients. However, injury severity score was an indicator of hospitalization. The mean Edmonton Frail Scale score was an indicator of mortality among older people who experienced falls (p=0.002). CONCLUSION: Inferior vena cava collapsibility index cannot be used to predict trauma severity in older patients who have experienced falls admitted to the emergency department.
Assuntos
Acidentes por Quedas , Escala de Gravidade do Ferimento , Veia Cava Inferior , Humanos , Acidentes por Quedas/estatística & dados numéricos , Veia Cava Inferior/diagnóstico por imagem , Veia Cava Inferior/lesões , Feminino , Masculino , Idoso , Idoso de 80 Anos ou mais , Ultrassonografia , Serviço Hospitalar de Emergência , Ferimentos e Lesões/diagnóstico por imagem , Ferimentos e Lesões/fisiopatologia , Ferimentos e Lesões/complicações , Ferimentos e Lesões/mortalidade , Hospitalização/estatística & dados numéricos , Índices de Gravidade do Trauma , Avaliação Geriátrica , FragilidadeRESUMO
We sought to develop and validate a machine learning (ML) model for predicting multidimensional frailty based on clinical and laboratory data. Moreover, an explainable ML model utilizing SHapley Additive exPlanations (SHAP) was constructed. This study enrolled 622 patients hospitalized due to decompensating episodes at a tertiary hospital. The cohort data were randomly divided into training and test sets. External validation was carried out using 131 patients from other tertiary hospitals. The frail phenotype was defined according to a self-reported questionnaire (Frailty Index). The area under the receiver operating characteristics curve was adopted to compare the performance of five ML models. The importance of the features and interpretation of the ML models were determined using the SHAP method. The proportions of cirrhotic patients with nonfrail and frail phenotypes in combined training and test sets were 87.8% and 12.2%, respectively, while they were 88.5% and 11.5% in the external validation dataset. Five ML algorithms were used, and the random forest (RF) model exhibited substantially predictive performance. Regarding the external validation, the RF algorithm outperformed other ML models. Moreover, the SHAP method demonstrated that neutrophil-to-lymphocyte ratio, age, lymphocyte-to-monocyte ratio, ascites, and albumin served as the most important predictors for frailty. At the patient level, the SHAP force plot and decision plot exhibited a clinically meaningful explanation of the RF algorithm. We constructed an ML model (RF) providing accurate prediction of frail phenotype in decompensated cirrhosis. The explainability and generalizability may foster clinicians to understand contributors to this physiologically vulnerable situation and tailor interventions.
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Fragilidade , Hospitalização , Cirrose Hepática , Aprendizado de Máquina , Humanos , Cirrose Hepática/complicações , Feminino , Masculino , Pessoa de Meia-Idade , Idoso , Algoritmos , Curva ROCRESUMO
BACKGROUND: Malnutrition, sarcopenia and frailty are distinct, albeit interrelated, conditions associated with adverse outcomes in adults with cancer, but whether they relate to multimorbidity, which affects up to 90% of people with cancer, is unknown. This study investigated the relationship between multimorbidity with malnutrition, sarcopenia and frailty in adults with cancer from the UK Biobank. METHODS: This was a cross-sectional study including 4122 adults with cancer (mean [SD] age 59.8 [7.1] years, 50.7% female). Malnutrition was determined using the Global Leadership Initiative on Malnutrition criteria. Probable sarcopenia and sarcopenia were defined using the European Working Group on Sarcopenia in Older People 2 criteria. (Pre-)frailty was determined using the Fried frailty criteria. Multimorbidity was defined as ≥2 long-term conditions with and without the cancer diagnosis included. Logistic regression models were fitted to estimate the odds ratios (ORs) of malnutrition, sarcopenia and frailty according to the presence of multimorbidity. RESULTS: Genitourinary (28.9%) and breast (26.1%) cancers were the most common cancer diagnoses. The prevalence of malnutrition, (probable-)sarcopenia and (pre-)frailty was 11.1%, 6.9% and 51.2%, respectively. Of the 11.1% of participants with malnutrition, the majority (9%) also had (pre-)frailty, and 1.1% also had (probable-)sarcopenia. Of the 51.2% of participants with (pre-)frailty, 6.8% also had (probable-)sarcopenia. No participants had (probable-)sarcopenia alone, and 1.1% had malnutrition, (probable-)sarcopenia plus (pre-)frailty. In total, 33% and 65% of participants had multimorbidity, including and excluding the cancer diagnosis, respectively. The most common long-term conditions, excluding the cancer diagnosis, were hypertension (32.5%), painful conditions such as osteoarthritis or sciatica (17.6%) and asthma (10.4%). Overall, 80% of malnourished, 74% of (probable-)sarcopenia and 71.5% of (pre-)frail participants had multimorbidity. Participants with multimorbidity, including the cancer diagnosis, had higher odds of malnutrition (OR 1.72 [95% confidence interval, CI, 1.31-2.30; P < 0.0005]) and (pre-)frailty (OR 1.43 [95% CI 1.24-1.68; P < 0.0005]). The odds increased further in people with ≥2 long-term conditions in addition to their cancer diagnosis (malnutrition, OR 2.41 [95% CI 1.85-3.14; P < 0.0005]; (pre-)frailty, OR 2.03 [95% CI 1.73-2.38; P < 0.0005]). There was little evidence of an association of multimorbidity with sarcopenia. CONCLUSIONS: In adults with cancer, multimorbidity was associated with increased odds of having malnutrition and (pre-)frailty but not (probable-)sarcopenia. This highlights that multimorbidity should be considered a risk factor for these conditions and evaluated during nutrition and functional screening and assessment to support risk stratification within clinical practice.
Assuntos
Fragilidade , Desnutrição , Multimorbidade , Neoplasias , Sarcopenia , Humanos , Feminino , Neoplasias/epidemiologia , Neoplasias/complicações , Masculino , Desnutrição/epidemiologia , Sarcopenia/epidemiologia , Fragilidade/epidemiologia , Fragilidade/complicações , Pessoa de Meia-Idade , Reino Unido/epidemiologia , Idoso , Estudos Transversais , Bancos de Espécimes Biológicos , Prevalência , Fatores de Risco , Biobanco do Reino UnidoRESUMO
BACKGROUND: It is unclear whether social isolation and loneliness may precede frailty status or whether frailty may precipitate social isolation and loneliness. We investigated the reciprocal and temporal sequence of social isolation, loneliness, and frailty among older adults across 21 years. METHODS: We used seven waves of the Longitudinal Aging Study Amsterdam from 2302 Dutch older adults (M = 72.6 years, SD = 8.6, 52.1% female) ages 55 or older. Using random intercept cross-lagged panel models, we investigated between- and within-person associations of social isolation and loneliness with frailty. Frailty was measured using the Frailty Index. Loneliness was measured using the 11-item De Jong Gierveld Loneliness Scale. Social isolation was measured using a multi-domain 6-item scale. RESULTS: Social isolation and loneliness were weakly correlated across waves. At the between-person level, individuals with higher levels of frailty tended to have higher levels of social isolation but not loneliness. At the within-person level, the cross-lagged paths indicated that earlier frailty status predicted future social isolation and loneliness over time. However, prior social isolation was not associated with subsequent frailty except at time point 5 (T5). Loneliness at specific time points (T1, T4 and T6) predicted greater frailty at later time points (T2, T5 and T7). The results also supported reciprocal and contemporaneous relations between social isolation, loneliness and frailty. CONCLUSIONS: Social isolation and loneliness are potential outcomes of frailty. Public health policies and health practitioners should prioritise interventions targeting social connection among older adults with pre-frailty or frailty.
Assuntos
Idoso Fragilizado , Fragilidade , Solidão , Isolamento Social , Humanos , Solidão/psicologia , Idoso , Feminino , Isolamento Social/psicologia , Masculino , Estudos Longitudinais , Fragilidade/psicologia , Fragilidade/diagnóstico , Pessoa de Meia-Idade , Países Baixos , Idoso Fragilizado/psicologia , Fatores de Tempo , Idoso de 80 Anos ou mais , Avaliação Geriátrica , Envelhecimento/psicologiaRESUMO
BACKGROUND: Aging is a risk factor for falls, frailty, and disability. The utility of wearables to screen for physical performance and frailty at the population level is an emerging research area. To date, there is a limited number of devices that can measure frailty and physical performance simultaneously. OBJECTIVE: The aim of this study is to evaluate the accuracy and validity of a continuous digital monitoring wearable device incorporating gait mechanics and heart rate recovery measurements for detecting frailty, poor physical performance, and falls risk in older adults at risk of falls. METHODS: This is a substudy of 156 community-dwelling older adults ≥60 years old with falls or near falls in the past 12 months who were recruited for a fall prevention intervention study. Of the original participants, 22 participants agreed to wear wearables on their ankles. An interview questionnaire involving demographics, cognition, frailty (FRAIL), and physical function questions as well as the Falls Risk for Older People in the Community (FROP-Com) was administered. Physical performance comprised gait speed, timed up and go (TUG), and the Short Physical Performance Battery (SPPB) test. A gait analyzer was used to measure gait mechanics and steps (FRAIL-functional: fatigue, resistance, and aerobic), and a heart rate analyzer was used to measure heart rate recovery (FRAIL-nonfunctional: weight loss and chronic illness). RESULTS: The participants' mean age was 74.6 years. Of the 22 participants, 9 (41%) were robust, 10 (46%) were prefrail, and 3 (14%) were frail. In addition, 8 of 22 (36%) had at least one fall in the past year. Participants had a mean gait speed of 0.8 m/s, a mean SPPB score of 8.9, and mean TUG time of 13.8 seconds. The sensitivity, specificity, and area under the curve (AUC) for the gait analyzer against the functional domains were 1.00, 0.84, and 0.92, respectively, for SPPB (balance and gait); 0.38, 0.89, and 0.64, respectively, for FRAIL-functional; 0.45, 0.91, and 0.68, respectively, for FROP-Com; 0.60, 1.00, and 0.80, respectively, for gait speed; and 1.00, 0.94, and 0.97, respectively, for TUG. The heart rate analyzer demonstrated superior validity for the nonfunctional components of frailty, with a sensitivity of 1.00, specificity of 0.73, and AUC of 0.83. CONCLUSIONS: Agreement between the gait and heart rate analyzers and the functional components of the FRAIL scale, gait speed, and FROP-Com was significant. In addition, there was significant agreement between the heart rate analyzer and the nonfunctional components of the FRAIL scale. The gait and heart rate analyzers could be used in a screening test for frailty and falls in community-dwelling older adults but require further improvement and validation at the population level.
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Acidentes por Quedas , Fragilidade , Marcha , Frequência Cardíaca , Dispositivos Eletrônicos Vestíveis , Humanos , Idoso , Masculino , Projetos Piloto , Feminino , Frequência Cardíaca/fisiologia , Fragilidade/diagnóstico , Fragilidade/fisiopatologia , Marcha/fisiologia , Acidentes por Quedas/prevenção & controle , Idoso de 80 Anos ou mais , Pessoa de Meia-Idade , Idoso Fragilizado , Avaliação Geriátrica/métodos , Vida IndependenteRESUMO
It is becoming highly accepted that aging, age-related diseases, and geriatric healthcare can move forward if reductionist research is complemented by integrative research uniting knowledge on specific aging mechanisms, multiple biomedical, social, psychological, lifestyle, and environmental factors and their interactions. In this special issue, we present exciting papers that illustrate how complexity science theory and practice can be applied to aging research and provide a better understanding and quantification of healthy aging and vulnerability to disease. Recent insights on biomarkers, clocks of aging, frailty, and resilience are covered and studied in interaction with a dynamic multiscale perspective. The editorial and closing viewpoint guide you through basic principles of gerontological complexity science and shed light on new research horizons, including innovative systems-based interventions.
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Envelhecimento , Humanos , Envelhecimento/fisiologia , Envelhecimento/psicologia , Geriatria , Idoso , Envelhecimento Saudável/fisiologia , Envelhecimento Saudável/psicologia , FragilidadeRESUMO
ABSRTACT: OBJECTIVE: To evaluate the effects of various non-pharmacological interventions on patients with cognitive impairment by systematic search and network meta-analysis, and to rank the effects of the included non-pharmacological interventions. METHODS: The databases of PubMed, Cochrane Library, EMbase, Web of Science, CNKI, VIP, WANFANG, and SinoMed were searched by computer. All randomized controlled trials (RCTs) of non-pharmacological interventions for people with cognitive frailty were collected. The search was conducted from 2000 to February 2024. Two reviewers independently screened the studies, extracted data, and assessed the risk of bias of the included studies, and then used Stata15 and R4.3.1 software to conduct network meta-analysis, with physical function and cognitive function as the main outcome indicators. RESULTS: A total of 19 randomized controlled trials involving 1738 patients were included. The results of network meta-analysis showed that among the non-pharmacological interventions, nutritional support had the best effect on improving frailty scores and cognitive function scores in patients with cognitive frailty. Aerobic training combined with resistance training is best for improving grip strength. For improving the patient's motor status, cognitive training had the best effect on improving TUG test scores. High-speed resistance training is best for improving walking speed. CONCLUSION: This review analyses the current study of non-pharmacological interventions to improve physical performance in patients with cognitive frailty. Current evidence suggests that nutritional support is most effective at improving physical frailty and cognitive decline in patients with cognitive frailty, and that exercise and cognitive training interventions significantly improve grip strength and motor ability. TRIAL REGISTRATION: This meta-analysis was prospectively registered with PROSPERO (registration number: CRD42023486881).
Assuntos
Disfunção Cognitiva , Metanálise em Rede , Ensaios Clínicos Controlados Aleatórios como Assunto , Humanos , Disfunção Cognitiva/terapia , Fragilidade/terapia , Idoso Fragilizado/psicologia , Idoso , Terapia por Exercício/métodosRESUMO
BACKGROUND: Preoperative frailty is a risk factor associated with postoperative delirium (POD), which has attracted more attention from clinicians, but no research has shown that it is related to elderly patients undergoing craniotomy. Therefore, the aim of this study was to determine the effect of preoperative frailty on POD in older patients, especially those who underwent craniotomy. METHODS: From October 2022 to May 2023, older patients who underwent elective craniotomy were collected. Assess the occurrence of frailty using the FRAIL scale one day before surgery. Evaluate the occurrence of POD using the Confusion Assessment Method (CAM) within three days after surgery. Participants were divided into two groups, one group being POD, Logistic regression analysis was used to find the risk variables for POD, and the predictive value of preoperative frailty to POD was determined by using the operating characteristic curve of the subjects. RESULTS: A total of 300 patients were included in this study, among whom 83 patients (27.7%) exhibited preoperative frailty and 69 patients (23.0%) experienced POD. The results of the multivariate logistic regression analysis indicate that preoperative frailty (OR: 8.816, 95% CI: 3.972-19.572), preoperative hypoalbuminemia (OR: 0.893, 95% CI: 0.811-0.984), low BMI (OR: 0.793, 95% CI: 0.698-0.901), and prolonged operative duration (OR: 1.007, 95% CI: 1.004-1.010) are independent risk factors for POD in older patients who underwent craniotomy. We constructed a risk prediction model using these factors, which had an area under the ROC curve of 0.908 (95% CI: 0.869-0.947, P < 0.001). Preoperative frailty enhanced the discriminative ability of the prediction model by 0.037. POD was associated with a longer length of hospital stay and higher hospitalization costs. CONCLUSIONS: Preoperative frailty is an independent risk factor for POD in older patients undergoing elective craniotomy and can predict the occurrence of POD to a certain extent. In addition, early identification of patients at risk of malnutrition and appropriate surgical planning can reduce the incidence of POD.
Assuntos
Craniotomia , Fragilidade , Complicações Pós-Operatórias , Humanos , Craniotomia/efeitos adversos , Masculino , Idoso , Feminino , Estudos Prospectivos , Fragilidade/epidemiologia , Fragilidade/complicações , Fragilidade/diagnóstico , Fatores de Risco , Complicações Pós-Operatórias/epidemiologia , Complicações Pós-Operatórias/etiologia , Delírio/epidemiologia , Delírio/etiologia , Idoso de 80 Anos ou mais , Medição de Risco/métodos , Período Pré-Operatório , Idoso FragilizadoRESUMO
Low muscle mass is a risk factor for mortality in patients with chronic kidney disease (CKD). However, it is not clear to what extent low muscle mass contributes to this risk, either independently or in combination with metabolic abnormalities and frailty. This study used data from the National Health and Nutrition Examination Survey 1999-2006 and 2011-2018. Low muscle mass was defined as Appendicular Skeletal Mass Index < 7 kg/m2 in men or < 5.5 kg/m2 in women. The follow-up duration was from the first anthropometric and clinical measurements to death or the last follow-up. This study enrolled 2072 patients with CKD. Low muscle mass was associated with a lower risk of metabolic abnormalities, but was associated with an elevated mortality risk. Conversely, central obesity was associated with a higher likelihood of metabolic abnormalities and frailty, yet showed no significant association with mortality risk. Subsequently conducted mediation analysis indicated that the effect of low muscle mass on mortality was direct, not mediated by frailty and metabolic abnormalities. In spite of the inverse relationship between low muscle mass and metabolic abnormalities, low muscle mass are directly associated with an increased risk of all-cause mortality. Low muscle mass may directly contribute to mortality in patients with CKD, independent of metabolic abnormalities and frailty in these patients.
Assuntos
Doenças Metabólicas , Insuficiência Renal Crônica , Humanos , Insuficiência Renal Crônica/mortalidade , Insuficiência Renal Crônica/complicações , Insuficiência Renal Crônica/patologia , Feminino , Masculino , Pessoa de Meia-Idade , Idoso , Doenças Metabólicas/mortalidade , Doenças Metabólicas/complicações , Doenças Metabólicas/patologia , Inquéritos Nutricionais , Músculo Esquelético/metabolismo , Músculo Esquelético/patologia , Fatores de Risco , Fragilidade/mortalidade , Fragilidade/complicações , Sarcopenia/mortalidade , Sarcopenia/complicações , Sarcopenia/metabolismo , AdultoRESUMO
BACKGROUND: Reversal of cognitive frailty through a multidomain intervention is desirable to prevent dementia. AGELESS Trial was conducted to determine the effectiveness of a comprehensive, multidomain intervention on older adults with cognitive frailty in Malaysia. However, conducting a clinical trial, particularly during and after Covid-19, posed unique challenges. OBJECTIVE: We aimed to investigate the recruitment process and baseline characteristics of the AGELESS Trial participants to better understand an at-risk population and those who agree to participate in an intervention. DESIGN/SETTING: 24-month, randomized controlled trial. PARTICIPANTS: Community-dwelling older adults with independent mobility, aged ≥ 60 years, with a mini mental state examination score of 19-25, a clinical dementia rating of 0.5 ≥ 1 Fried's physical frailty criteria, and < 22 Beck depression inventory. INTERVENTION: Participants were randomized 1:1 to a structured multidomain intervention consisting of vascular management, diet, exercise, cognitive and psychosocial stimulation, or to the arm, including routine care and general health consultation. MEASUREMENT: We analyzed the group differences between (1) cognitive frailty and non- cognitive frailty screened subjects, (2) recruited and non-recruited participants, (3) baseline characteristics of participants by arm, (4) adherence to AGELESS intervention at 12 months, and (5) preliminary findings on the effectiveness of the intervention at 12 months. RESULTS: A total of 957 older adults from two locations, i.e., urban (n = 764) and rural (n = 193) areas, were screened, of whom 38.9% had cognitive frailty and were eligible to participate. Those with cognitive frailty had fewer years of education (B = -0.08; 95%CI = 0.88-0.97; p = 0.002), and lower functioning cognition (B = -0.24; 95%CI = 0.74-0.84; p < 0.001). Among those from urban areas, only 33.1% (n = 106) agreed to participate, particularly those with multimorbidity (B = 0.86; 95%CI = 1.31-4.30; p = 0.01), higher physical activity (B = -1.02; 95%CI = 0.19-0.69; p = 0.002), slower walking speed (B = 1.26; 95%CI = 1.62-7.61; p = 0.001), and higher systolic blood pressure (B = 0.02; 95%CI = 1.00-1.03; p = 0.03). At baseline, participants' mean age was 68.1±5.6, years of education was 8.3±3.9, body mass index was 27.5±5.3 kg/m2, and mini mental state examination score was 22.7±4.0. Generally, there were no significant differences between the intervention and control groups for the main outcomes, except those in the intervention group had higher body mass index, mid-upper-arm circumference, and waist circumference (p < 0.05 for all parameters). Overall intervention adherence at 12 months was 52.8%, ranging from 52.8%-90.6% for each of the modules. Preliminary analysis of the effectiveness of the intervention at 12 months was positive on most of the cognitive domains, some of the nutrient intake and food groups, physical function, and vascular outcomes (p < 0.05 for all parameters). CONCLUSION: Despite the challenges posed by the pandemic, screening, recruitment, and 12-month intervention delivery were achieved in a Malaysian multidomain preventive randomized controlled trial in older adults at risk of dementia, with a satisfactory adherence rate and cognitive benefits at 12 months.
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COVID-19 , Disfunção Cognitiva , Vida Independente , Humanos , Masculino , Idoso , Feminino , COVID-19/prevenção & controle , Malásia , Fragilidade , Seleção de Pacientes , Idoso Fragilizado/psicologia , Pessoa de Meia-Idade , Exercício Físico , Idoso de 80 Anos ou maisRESUMO
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.
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Idoso Fragilizado , Fragilidade , Avaliação Geriátrica , Qualidade de Vida , Humanos , Idoso , Fragilidade/diagnóstico , Avaliação Geriátrica/métodos , China , Envelhecimento/fisiologia , Acidentes por Quedas/prevenção & controle , Idoso de 80 Anos ou maisRESUMO
BACKGROUND: The objectives of this study were twofold: (1) to compare gait characteristics between cerebral small vessel disease (CSVD) patients with low-risk oral frailty (OF) and high-risk OF, particularly during dual-task walking (DTW); (2) to investigate the association of OF, the gait characteristics of DTW, and falls among older adults patients with CSVD. METHODS: A total of 126 hospitalized patients diagnosed with CSVD were recruited and classified into a low-risk group (n = 90) and a high-risk group (n = 36) based on OF status in our study. Comprehensive data pertaining to basic parameters (cadence, as well as stride time, velocity and length), variability, asymmetry, and coordination were gathered during both single-task walking (STW) and DTW. Additionally, the number of falls was calculated. Subsequently, t-test or chi-squared test was used for comparison between the two groups. Furthermore, linear regression analysis was employed to elucidate the association of the OF index-8 score and gait parameters during cognitive DTW. Also, logistic regression models were utilized to assess the independent association of OF risk and falls. RESULTS: During cognitive DTW, the high-risk group demonstrated inferior performance in terms of basic parameters (p < 0.01), coefficient of variation (CV) of velocity and stride length (p < 0.05), as well as phase coordination index (PCI) when compared with the low-risk group (p < 0.05). Notably, differences in basic gait parameters were observed in cognitive DTW and STW conditions between the two groups (p < 0.01). However, only the high-risk group evinced significant variations in CV and PCI during cognitive DTW, as opposed to those during STW (p < 0.05). Furthermore, our findings also revealed the association of OF, the gait characteristics of cognitive DTW, (p < 0.01) and falls (p < 0.05). CONCLUSION: CSVD patients with a high risk of OF need to pay more attention to their gait variability or coordination. Also, they are recommended to undergo training involving dual-task activities while walking in daily life, thereby reducing the deterioration and mitigating the risk of falls. Besides, this study has confirmed an association of OF and DTW gait as well as falls in patients with CSVD.
Assuntos
Doenças de Pequenos Vasos Cerebrais , Fragilidade , Marcha , Humanos , Masculino , Doenças de Pequenos Vasos Cerebrais/complicações , Doenças de Pequenos Vasos Cerebrais/epidemiologia , Doenças de Pequenos Vasos Cerebrais/fisiopatologia , Feminino , Idoso , Fragilidade/epidemiologia , Fragilidade/fisiopatologia , Marcha/fisiologia , Acidentes por Quedas/estatística & dados numéricos , Pessoa de Meia-Idade , Idoso de 80 Anos ou mais , Transtornos Neurológicos da Marcha/fisiopatologia , Transtornos Neurológicos da Marcha/epidemiologia , Transtornos Neurológicos da Marcha/etiologia , Caminhada/fisiologiaRESUMO
BACKGROUND: Few studies have quantified multimorbidity and frailty trends within hospital settings, with even fewer reporting how much is attributable to the ageing population and individual patient factors. Studies to date have tended to focus on people over 65, rarely capturing older people or stratifying findings by planned and unplanned activity. As the UK's national health service (NHS) backlog worsens, and debates about productivity dominate, it is essential to understand these hospital trends so health services can meet them. METHODS: Hospital Episode Statistics inpatient admission records were extracted for adults between 2006 and 2021. Multimorbidity and frailty was measured using Elixhauser Comorbidity Index and Soong Frailty Scores. Yearly proportions of people with Elixhauser conditions (0, 1, 2, 3 +) or frailty syndromes (0, 1, 2 +) were reported, and the prevalence between 2006 and 2021 compared. Logistic regression models measured how much patient factors impacted the likelihood of having three or more Elixhauser conditions or two or more frailty syndromes. Results were stratified by age groups (18-44, 45-64 and 65 +) and admission type (emergency or elective). RESULTS: The study included 107 million adult inpatient hospital episodes. Overall, the proportion of admissions with one or more Elixhauser conditions rose for acute and elective admissions, with the trend becoming more prominent as age increased. This was most striking among acute admissions for people aged 65 and over, who saw a 35.2% absolute increase in the proportion of admissions who had three or more Elixhauser conditions. This means there were 915,221 extra hospital episodes in the last 12 months of the study, by people who had at least three Elixhauser conditions compared with 15 years ago. The findings were similar for people who had one or more frailty syndromes. Overall, year, age and socioeconomic deprivation were found to be strongly and positively associated with having three or more Elixhauser conditions or two or more frailty syndromes, with socioeconomic deprivation showing a strong dose-response relationship. CONCLUSIONS: Overall, the proportion of hospital admissions with multiple conditions or frailty syndromes has risen over the last 15 years. This matches smaller-scale and anecdotal reports from hospitals and can inform how hospitals are reimbursed.
Assuntos
Fragilidade , Hospitalização , Multimorbidade , Humanos , Idoso , Multimorbidade/tendências , Pessoa de Meia-Idade , Estudos Retrospectivos , Inglaterra/epidemiologia , Fragilidade/epidemiologia , Masculino , Feminino , Adulto , Hospitalização/tendências , Hospitalização/estatística & dados numéricos , Adolescente , Adulto Jovem , Idoso de 80 Anos ou mais , PrevalênciaRESUMO
Objective: To evaluate the impact of adverse health conditions, including multimorbidity, frailty, malnutrition, cognitive impairment, and polypharmacy, on clinical outcomes in older people with atrial fibrillation (AF). Patients and Methods: This prospective cohort study focused on patients aged 65 years and older with AF. They were admitted to the hospital between September 2018 and April 2019 and followed up for 1 year. We evaluated these participants for adverse health conditions including multimorbidity, frailty, malnutrition, cognitive impairment, and polypharmacy. The primary clinical outcome measured was a combination of all-cause mortality or rehospitalization. Results: 197 older patients (≥65 years) with AF (mean age, 77.5±7.1 years; 57.4% men) were enrolled. During 1-year follow-up, Primary endpoint events (all-cause mortality or rehospitalization) occurred in 82 patients (41.6%). Compared with the non-event group, the Charlson comorbidity index (CCI) was higher (2.5±1.9 vs 1.7±1.3, p=0.004), more heart failure (32.9% vs 17.4%, p=0.01) and chronic kidney disease (17.1% vs 7.0%, p=0.03), with lower systolic blood pressure (125.3±18.3 mmHg vs 132±17.9 mmHg, p=0.005) in the event group. On multivariate Cox regression showed that the CCI was associated with a higher odds ratio of the composite outcome of all-cause mortality and rehospitalization (HR: 1.26; 95% CI: 1.02-1.56, p=0.03). Other adverse health conditions showed no significant association with the composite outcome of all-cause mortality and rehospitalization. Conclusion: Among adverse health conditions in older people with AF, multimorbidity appears to be a significant determinant of adverse clinical outcomes. Clinical Trial Registration: ChiCTR1800017204; date of registration: 07/18/2018.
Assuntos
Fibrilação Atrial , Desnutrição , Multimorbidade , Readmissão do Paciente , Humanos , Fibrilação Atrial/tratamento farmacológico , Fibrilação Atrial/epidemiologia , Idoso , Masculino , Feminino , Estudos Prospectivos , Idoso de 80 Anos ou mais , Readmissão do Paciente/estatística & dados numéricos , Desnutrição/epidemiologia , Disfunção Cognitiva/epidemiologia , Polimedicação , Fragilidade/epidemiologia , Fatores de Risco , Hospitalização/estatística & dados numéricos , Modelos de Riscos ProporcionaisRESUMO
Background: The causality of autoimmune diseases with frailty has not been firmly established. We conducted this Mendelian randomization (MR) study to unveil the causal associations between autoimmune diseases with frailty. Methods: A MR analyses were performed to explore the relationships between autoimmune disease and frailty, using summary genome-wide association statistics. Results: Through a comprehensive and meticulous screening process, we incorporated 46, 7, 12, 20, 5, and 53 single nucleotide polymorphisms (SNPs) as instrumental variables (IVs) for hypothyroidism, hyperthyroidism, rheumatoid arthritis (RA), type 1 diabetes (T1D), multiple sclerosis (MS), and overall autoimmune disease, respectively. Our analysis revealed that hypothyroidism (OR = 1.023, 95% CI: 1.008-1.038, p = 0.0015), hyperthyroidism (OR = 1.024, 95% CI: 1.004-1.045, p = 0.0163), RA (OR = 1.031, 95% CI: 1.011-1.052, p = 0.0017), T1D (OR = 1.011, 95% CI: 1.004-1.017, p = 0.0012), and overall autoimmune disease (OR = 1.044, 95% CI: 1.028-1.061, p = 5.32*10^-8) exhibited a positive causal effect on frailty. Conversely, there may be a negative causal association between MS (OR = 0.984, 95% CI: 0.977-0.992, p = 4.87*10^-5) and frailty. Cochran's Q test indicated heterogeneity among IVs derived from hypothyroidism, hyperthyroidism, T1D, and overall autoimmune diseases. The MR-Egger regression analyzes revealed an absence of horizontal pleiotropy in any of the conducted analyses. Conclusion: This study elucidates that hypothyroidism, hyperthyroidism, RA, T1D, and overall autoimmune disease were linked to an elevated risk of frailty. Conversely, MS appears to be associated with a potential decrease in the risk of frailty.
Assuntos
Doenças Autoimunes , Fragilidade , Estudo de Associação Genômica Ampla , Análise da Randomização Mendeliana , Polimorfismo de Nucleotídeo Único , Humanos , Doenças Autoimunes/genética , Doenças Autoimunes/epidemiologia , Fragilidade/genética , Fatores de Risco , Predisposição Genética para DoençaRESUMO
BACKGROUND: Previous observational studies have revealed a potentially robust bidirectional relationship between frailty and low back pain (LBP). However, the precise causal relationship remains unclear. METHODS: To examine the potential causal association between frailty and LBP, we conducted bidirectional two-sample Mendelian randomization analysis (MR) study. Genetic data on frailty index (FI) and LBP were acquired from publicly available genome-wide association studies (GWAS). Various MR methodologies were utilized, such as inverse variance weighting (IVW), weighted median, and MR-Egger, to evaluate causality. Additionally, sensitivity analyses were conducted to evaluate the robustness of the findings. RESULTS: Genetically predicted higher FI (IVW, odds ratio [OR] = 1.66, 95% CI 1.17-2.36, p = 4.92E-03) was associated with a higher risk of LBP. As for the reverse direction, genetic liability to LBP showed consistent associations with a higher FI (IVW, OR = 1.13, 95% CI 1.07-1.19, p = 2.67E-05). The outcomes from various MR techniques and sensitivity analyses indicate the robustness of our findings. CONCLUSION: Our research findings provide additional evidence bolstering the bidirectional causal relationship between frailty and LBP.
Assuntos
Fragilidade , Estudo de Associação Genômica Ampla , Dor Lombar , Análise da Randomização Mendeliana , Humanos , Dor Lombar/genética , Dor Lombar/epidemiologia , Fragilidade/genética , Polimorfismo de Nucleotídeo Único , Idoso , Causalidade , FemininoRESUMO
BACKGROUND: Creatinine-to-cystatin C ratio (CCR) has been associated with multiple adverse outcomes. However, little is known about its relationship with frailty. We aimed to explore the association between CCR and frailty among older adults. METHODS: A total of 2599 participants aged ≥ 60 years (mean age 67.9 ± 6.0 years, 50.4% males) were included from the China Health and Retirement Longitudinal Study (2011-2015). Baseline CCR was calculated as plasma creatinine (mg/dL) / cystatin C (mg/L) × 10 and was grouped by quartiles. Frailty was evaluated by the validated physical frailty phenotype (PFP) scale and was defined as PFP score ≥ 3. The generalized estimating equations model was used to explore the relationship between CCR and frailty. RESULTS: The frailty risk decreased gradually with increasing CCR in the quartiles (P for trend = 0.002), and the fourth CCR quartile was associated with a significantly lower risk of frailty compared with the lowest quartile (odds ratio [OR] 0.37, 95% confidence interval [CI] 0.19-0.70). When modeling as a continuous variable, per 1-unit increase in CCR was related to 17% decreased odds of frailty (OR 0.83, 95% CI 0.74-0.93). The association was consistent in male and female participants (P for interaction = 0.41). Poisson models revealed that frailty score was negatively associated with CCR (ß= -0.11, 95% CI= -0.19 to -0.04), and sex did not significantly moderate the associations (P for interaction = 0.22). The results were not affected by further adjusting for high-sensitivity C-reactive protein. Similar results were observed by analyses with multiple imputation technique and analyses excluding participants with baseline frailty. CONCLUSIONS: Higher CCR was associated with a lower frailty risk. CCR may be a simple marker for predicting frailty in older adults.
Assuntos
Creatinina , Cistatina C , Fragilidade , Humanos , Masculino , Feminino , Idoso , Estudos Longitudinais , Cistatina C/sangue , Fragilidade/sangue , Fragilidade/epidemiologia , Fragilidade/diagnóstico , Creatinina/sangue , Pessoa de Meia-Idade , Idoso Fragilizado , China/epidemiologia , Biomarcadores/sangue , Estudos de Coortes , Avaliação Geriátrica/métodosRESUMO
Continuing rehabilitation after hip fractures is recommended to improve physical function and quality of life. However, the long-term implementation status of postoperative rehabilitation is unclear. This study aims to investigate the implementation status of postoperative rehabilitation for older patients with hip fractures and the factors associated with continuing rehabilitation. A retrospective cohort study evaluated medical and long-term care insurance claims data of patients aged 75 years or older in Kyoto City, Japan, who underwent hip fracture surgeries from April 2013 to October 2018. We used logistic regression analysis to examine factors associated with six-month rehabilitation continuation. Of the 8,108 participants, 8,037 (99%) underwent rehabilitation the first month after surgery, but only 1,755 (22%) continued for six months. The following variables were positively associated with continuing rehabilitation for six months: males (adjusted odds ratio: 1.41 [95% confidence interval: 1.23-1.62]), an intermediate frailty risk (1.50 [1.24-1.82]), high frailty risk (2.09 [1.69-2.58]) estimated using the hospital frailty risk scores, and preoperative care dependency levels: support level 1 (1.69 [1.28-2.23]), support level 2 (2.34 [1.88-2.90]), care-need level 1 (2.04 [1.68-2.49]), care-need level 2 (2.42 [2.04-2.89]), care-need level 3 (1.45 [1.19-1.76]), care-need level 4 (1.40 [1.12-1.75]), and care-need level 5 (1.31 [0.93-1.85]). In contrast, dementia was cited as a disincentive (0.53 [0.45-0.59]). Less than 30% of older patients continued rehabilitation for six months after surgery. Factors associated with continuing rehabilitation were male sex, higher frailty risk, care dependency before hip fracture surgeries, and non-dementia.