Frailty Tools Research Articles

29 Predicting Unplanned Readmission and Death After Hospital Discharge: How Do Frailty Tools Compare to Electronic Health Record Frailty Markers?

Abstract Introduction Numerous frailty tools and definitions have been described. Amongst hospitalised patients, the validity of face-to-face instruments may be confounded by acute illness. However, patient assessment after recovery at the point of hospital discharge, or recognition of electronic health record (EHR) frailty markers, may overcome this issuep. Methods In a consented, prospective observational cohort study, we recruited patients ≥70 years old within 24 hours of expected discharge from the cardiology ward of the Royal Infirmary of Edinburgh. Three established frailty instruments were tested: the Fried phenotype, Short Physical Performance Battery and nurse-administered Clinical Frailty Scale (CFS). An unweighted 32-item EHR score was generated using frailty markers (e.g. falls risk, continence, cognition) recorded within mandated admission documentation. Comorbidity was assessed by count of chronic health conditions. Outcomes were a 90-day composite of unplanned readmission or death and 12-month mortality. Adjusted Cox modelling determined the hazard ratio (HR) per standard deviation increase in each frailty score. Results 186 patients (mean age 79 ± 6 years, 64% male) were included, of whom 55 (30%) had a 90-day composite outcome, and 21 (11%) died within 12 months. All four frailty tools were moderately correlated with age and comorbidity (Pearson’s r 0.21 to 0.43, all p < 0.05). The Fried phenotype (HR 1.47, 95% CI 1.18–1.81), CFS (HR 1.24, 95% CI 1.01–1.51) and EHR score (HR 1.26, 95% CI 1.03–1.55) independently predicted 90-day readmission or death, after adjustment for age, sex and comorbidity. All frailty instruments were independent predictors of 12-month mortality, with age, sex and comorbidity losing predictive power (p > 0.05) once frailty was included in modelling. Conclusions At hospital discharge, the Fried phenotype and CFS added to age and comorbidity in risk prediction for future unplanned readmission or death. EHR frailty markers appeared comparable to face-to-face assessment. An automated trigger for high-risk patients using routine EHR data merits prospective evaluation.

The impact of frailty on trauma outcomes usingthe Clinical Frailty Scale.

BackgroundPopulation ageing is a worldwide phenomenon; thanks to improvements in medical care and living standards. The Office of National Statistics in the UK predicts that the fastest growing age group in coming decades will be those over 85 years. This is reflected in Trauma Audit and Research Network data, which has highlighted a shift in caseload from a majority of young males to elderly patients at UK Major Trauma Centres (MTC). This study of elderly trauma patients admitted to a UK MTC reviews the links between frailty, using the Canadian Study of Health and Aging Clinical Frailty Scale (CFS), and outcomes from trauma.MethodsA retrospective database review of patients > 65 years old admitted to our MTC was performed. We identified 1125 eligible patients of which 729 had a recorded CFS. Those without a CFS were omitted. The primary outcome measured was in-hospital mortality. Secondary measures were Injury Severity Score, length of stay, trauma team activation on arrival and discharge destination. Multivariate regression analyses were performed using STATA v 15.ResultsThose of CFS 5–9 (frail) were 2.6 times more likely to die than the CFS 1–4 (pre-frail) (OR 2.65, 95% CI 1.47–4.78). The frail group was also 56% less likely to have a trauma call on admission (OR 0.44, 95% CI 0.30–0.65) and 61% less likely to be discharged to their usual place of residence (OR 0.39, 95% CI 0.28–0.55).ConclusionWe advocate the use of the Clinical Frailty Scale as a screening tool for frailty in trauma patients, highlighting those at risk of increased length of stay and mortality, subsequently assisting healthcare providers with setting realistic expectations with family members.Level of evidenceLevel III, prognostic and epidemiological

How gait influences frailty models and health-related outcomes in clinical-based and population-based studies: a systematic review.

Aging is often associated with a decline in physical function that eventually leads to loss of autonomy in activities of daily living (ADL). Walking is a very common ADL, important for main determinants of quality of life in older age, and it requires the integration of many physiological systems. Gait speed has been described as the 'sixth vital sign' because it is a core indicator of health and function in aging and disease. We reviewed original studies up to June 2020 that assessed frailty in both longitudinal and cross-sectional observational studies, paying particular attention to how gait is measured in older population and how the gait parameter adopted may influence the estimated frailty models and the health-related outcomes of the various studies (i.e. clinical, cognitive, physical, and nutritional outcomes). Eighty-five studies met the search strategy and were included in the present systematic review. According to the frailty tools, more than 60% of the studies used the physical phenotype model proposed by Fried and colleagues, while one-third referred to multi-domain indexes or models and only 5% referred to other single-domain frailty models (social or cognitive). The great heterogeneity observed in gait measurements and protocols limited the possibility to directly compare the results of the studies and it could represent an important issue causing variability in the different outcome measures in both clinical-and population-based settings. Gait appeared to be an indicator of health and function also in frail older adults, and different gait parameters appeared to predict adverse health-related outcomes in clinical, cognitive, and physical domains and, to a lesser extent, in nutritional domain. Gait has the potential to elucidate the common basic mechanisms of cognitive and motor decline. Advances in technology may extend the validity of gait in different clinical settings also in frail older adults, and technology-based assessment should be encouraged. Combining various gait parameters may enhance frailty prediction and classification of different frailty phenotypes.

Prevalence of frailty and reliability of established frailty instruments in adult elective colorectal surgical patients: a prospective cohort study

PurposeLarge population studies now demonstrate that frailty is prevalent in all adult age groups. Limited data exist on the association between frailty and surgical outcome in younger patients. The aim...

Success of Simpler Modified Fried Frailty Scale to Predict Mortality among Nursing Home Residents.

Fried frailty scale is the very first and most commonly used assessment scale for an operational definition of frailty with its demonstrated success as a predictor of mobility limitations and mortality. However, it is impractical for use in routine clinical practice. We aimed to study whether a simpler modified Fried frailty scale could predict mortality among nursing home residents. Retrospective longitudinal follow-up study. Nursing home. Baseline evaluation was performed in 2009. Mortality was assessed after 4 year. Two hundred-twenty-four participants were included. Residents were assessed for demographic characteristics, falls, dementia, the number of regular medications and chronic diseases, body composition by bioimpedance analysis, basic and instrumental activities of daily living besides frailty status by a modified Fried frailty scale. The residents were assessed for mortality after a median follow-up time of 46 months. The association of frailty with mortality was analyzed by the Kaplan-Meier Log-rank test and multivariate Cox Regression analysis. Mortality occurred in 90 (40.2%) of the residents. In multivariate analysis, frailty was an independent predictor of death (Hazzard ratio= 1.4, 95% confidence interval= 1.03-2.6, p=0.03) when adjusted by age, sex, presence of malnutrition, low muscle mass, number of chronic diseases and regular medications. Our results suggest that the simpler modified Fried frailty scale can be used as a screening tool for frailty in everyday practice as a tool to identify risky patients for mortality. Future reports studying its role in predicting other adverse outcomes associated with frailty are needed.

Frailty assessment of older adults, first-time applicants of public home care service in Norway

Objective Early detection of frailty is essential to prevent or delay disability. The most appropriate screening tool for frailty among home-dwelling older adults is under debate. The present study estimates the prevalence of frailty among older adults, first-time applicants of public home care service in Norway, and investigates the appropriateness of gait speed and Short Physical Performance Battery as screening-tools for frailty. Design and setting We conducted a cross-sectional study of 116 older adults >65 years applying for public home care service for the first time. Frailty was assessed by an adapted version of the Fried Frailty Phenotype. The test accuracies of gait speed and Short Physical Performance Battery to detect frailty were calculated for a general population >70 years in Norway. Results 62.1% of the participants were frail, 29.3% were prefrail, and 8.6% were robust. Mean gait speed and Short Physical Performance Battery-scores were significantly lower in frail compared to prefrail individuals, and significantly lower in prefrail compared to robust individuals. The sensitivity and specificity of gait speed at a cut point of 0.8 m/s to detect physical frailty phenotype was 99% and 68%, respectively. Conclusions The high prevalence of frailty in the present study indicates that screening for frailty should be considered at an earlier time point than when older adults apply for public home care service for the first time. Gait speed may be an appropriate screening tool for frailty in a general population >70 years in Norway. KEY POINTS The prevalence of frailty among older adults, first-time applicants of public home care services in Norway is major. Screening for frailty should be considered before older adults apply for public home care service for the first time. Gait speed at a cut point at 0.8 m/s may be an appropriate screening tool for frailty in a general population >70 years in Norway.

Nutrition and Physical Activity Clinical Practice Guidelines for Older Adults Living with Frailty

BackgroundWe developed clinical practice guidelines to provide health care providers with evidence-based recommendations for decisions related to the effective management of frailty and pre-frailty using nutrition and physical activity interventions.MethodsWe based the recommendations on two systematic reviews with meta-analyses. Nutrition, physical activity, and combined nutrition and physical activity interventions for adults ≥65y were considered if study populations were identified as frail using a frailty tool or assessment. Risk of bias and certainty of evidence were evaluated. We included physical outcomes, mobility, frailty, cognitive function, activities of daily living, falls, quality of life, diet quality, energy/fatigue levels, health services use, and caregiver outcomes.ResultsOverall, mobility improvements were moderate with nutritional strategies that optimize dietary intake, various types of physical activity interventions, and interventions that combine nutrition and physical activity. Physical outcomes, such as body mass and muscle strength, improved moderately with nutritional strategies and interventions that combined nutrition with physical activity. Frailty status improved with multi-component physical activity interventions. Strong recommendations include optimizing dietary intake, performing physical activity, and adopting interventions that combine nutrition and physical activity. We strongly recommend various types of physical activity including muscle strengthening activities, mobilization or rehabilitation exercises, and multi-component physical activity interventions.InterpretationTailored nutrition and physical activity interventions based on individual goals and health status are associated with improved clinical and physical outcomes. While the recommendations facilitate shared decision-making, we identified sparse application of validated frailty assessments and lack of standardized research outcomes as critical gaps in knowledge.

Oral frailty and neurodegeneration in Alzheimer's disease.

Frailty is a critical intermediate status of the aging process with a multidimensional and multisystem nature and at higher risk for adverse health-related outcomes, including falls, disability, hospitalizations, institutionalization, mortality, dementia, and Alzheimer’s disease. Among different frailty phenotypes, oral frailty has been recently suggested as a novel construct defined as a decrease in oral function with a coexisting decline in cognitive and physical functions. We briefly reviewed existing evidence on operational definitions of oral frailty, assessment and screening tools, and possible relationships among oral frailty, oral microbiota, and Alzheimer’s disease neurodegeneration. Several underlying mechanism may explain the oral health-frailty links including undernutrition, sarcopenia linked to both poor nutrition and frailty, psychosocial factors, and the chronic inflammation typical of oral disease. Oral microbiota may influence Alzheimer’s disease risk through circulatory or neural access to the brain and the interplay with periodontal disease, often causing tooth loss also linked to an increased Alzheimer’s disease risk. On this bases, COR388, a bacterial protease inhibitor targeting Porphyromonas gingivalis implicated in periodontal disease, is now being tested in a double-blind, placebo-controlled Phase II/III study in mild-to-moderate Alzheimer’s disease. Therefore, oral status may be an important contributor to general health, including Alzheimer’s disease and late-life cognitive disorders, suggesting the central role of preventive strategies targeting the novel oral frailty phenotype and including maintenance and improvement of oral function and nutritional status to reduce the burden of both oral dysfunction and frailty.

Efficient and rapid assessment of multiple aspects of frailty using the Kyoto Frailty Scale, developed from the Edmonton Frail Scale.

[Purpose] Global aging has led to a dramatic increase in the number of frail people, who are likely to become bedridden. Since frailty can be partially reversed, early intervention would be beneficial for patients, family members, and clinicians. This study was designed to develop a screening tool for an accurate and comprehensive assessment of frailty by modulating the Edmonton Frail Scale (EFS). [Participants and Methods] The EFS, covering multiple domains, is one of the major diagnostic tools for frailty. Frail and non-frail participants (n=67) were evaluated for each diagnostic item of the EFS to identify the most efficient combination of questions by evaluating its sensitivity and specificity. [Results] The Kyoto Frailty Scale (KFS) was developed as a rapid frailty scale, based on the EFS. The KFS comprises nine questions about health status, polypharmacy, hospitalization, living with a reliable caregiver, shopping, transportation, housework, money management, and forgetting to take medicine. The KFS has an excellent negative predictive value (100%) for screening frailty and a positive predictive value (97%) for screening prefrailty and frailty if we regard KFS ≥4 as a test positive. [Conclusion] The KFS permits clinician to rapidly and accurately screen for frailty and prefrailty, or exclude frailty.

Frailty Tools for Assessment of Long-term Prognosis After Acute Coronary Syndrome.

ObjectiveTo evaluate the 5 components of the Fried frailty phenotype (self-reported unintentional weight loss, physical activity questionnaire, gait speed, grip strength, and self-reported exhaustion) for long-term outcomes in elderly survivors of acute coronary syndrome.MethodsA total of 342 consecutive patients (from October 1, 2010, to February 1, 2012) were included. The 5 components of the Fried score and albumin concentration, as malnutrition index, were assessed before hospital discharge. Patients were followed up until April 2020 (median follow-up, 8.7 years). The end point was postdischarge all-cause mortality.ResultsMean ± SD age was 77±7 years and mean ± SD Fried score was 2.0±1.1 points. A total of 216 (63%) patients died. After adjusting for clinical covariates, the Fried phenotype was associated with mortality (per points, hazard ratio [HR], 1.35; 95% CI, 1.17 to 1.57; P<.001). Among Fried components, physical activity (HR, 2.21; 95% CI, 1.34 to 3.65; P=.002) and gait speed (HR, 1.77; 95% CI, 1.29 to 2.43; P<.001) were the deficits independendtly associated with mortality. Albumin level provided further prognostic information (per increase in g/dL; HR, 0.63, 95% CI, 0.45 to 0.88; P=.007). The model adding the components of the Fried score and albumin level to the clinical model showed the highest risk reclassification (integrated discrimination improvement, 0.040; 95% CI, 0.018 to 0.075; P=.001; continuous net reclassification improvement, 0.291; 95% CI, 0.132 to 0.397; P=.001) in comparison with the model using clinical covariates alone.ConclusionFrailty assessment using the Fried phenotype has prognostic value for long-term mortality in elderly survivors of acute coronary syndrome. Physical activity and gait speed are the predictive components of the Fried score. Albumin level provides incremental prognostic information.

Frailty Is Associated with In-Hospital Morbidity and Nonroutine Disposition in Brain Tumor Patients Undergoing Craniotomy

Frailty is associated with postoperative morbidity in multiple surgical disciplines. We evaluated the association between frailty and early postoperative outcomes for brain tumor patients using a national database. We reviewed the Nationwide Readmissions Database from 2010 to 2014. International Classification of Diseases, ninth revision, codes were used to identify benign and malignant brain tumors treated with surgical resection. Pituitary tumors were excluded. Frailty was assessed using the Johns Hopkins Adjusted Clinical Groups frailty indicator tool. Multivariable exact logistic regression was used to conduct analyses assessing the association between frailty and the outcome variables. Statistical significance was defined as P < 0.001. The criteria for frailty were met for 7209 of 87,835 patients (8.2%). After adjustment for patient and hospital factors, frailty was independently associated with in-hospital surgical complications (odds ratio [OR], 1.48; 95% confidence interval [CI] 1.37-1.59; P < 0.0001), mental status changes (OR, 1.9; 95% CI, 1.72-2.09; P < 0.0001), and pulmonary insufficiency (OR, 1.75; 95% CI, 1.55-1.96; P < 0.0001). Frailty was associated with an increased length of stay (incident rate ratio, 1.92; 95% CI, 1.87-1.98; P < 0.0001) and nonroutine disposition (OR, 1.84; 95% CI, 1.72-1.97; P < 0.0001). In-hospital mortality was greater for frail patients (2.2% vs. 1.4%; P < 0.0001), but the difference did not achieve significance on multivariate analysis. Frail patients were not more likely to be readmitted. Frailty is associated with in-hospital complications and nonroutine disposition after craniotomy for benign and malignant brain tumors. Additional work is needed to identify prehabilitation or in-hospital strategies to improve the care and outcomes of these at-risk patients.

Frailty screening for predicting rapid functional decline, rapid progressive disease, and shorter overall survival in older patients with gastrointestinal cancer receiving palliative chemotherapy - a prospective, clinical study

ObjectivesA growing number of older patients with cancer require well-founded clinical decision-making. Frailty screening is suggested as a service to improve outcomes in vulnerable older patients with cancer. This prospective study examined the value of frailty screening to predict rapid functional decline, rapid progressive disease (PD) and shorter overall survival (OS) in older patients with gastrointestinal cancer receiving palliative chemotherapy. Materials and MethodsPatients aged ≥70 years were screened for frailty in an oncologic department after clinical decision but before starting palliative chemotherapy. Screening was repeated at first response evaluation after approximately two months of chemotherapy. Frailty screening tools included performance status (PS), Charlson Comorbidity Index, G-8 using two different cut-offs (G814,G811), VES–13, Timed-Up-and-Go, Handgrip strength and falls. ResultsA total of 170 patients were included, median age was 75.5 (70–88) years and 65.9% were male. The frequency of frailty varied from 14% to 74% according to the chosen frailty tool. In multivariate analysis G814 predicted OS (HR 1.5; 95%CI 1.0–2.4), whereas G811 predicted PD (OR 2.4; 1.1–5.6) and OS (HR 2.1; 1.4–2.9). VES-13 predicted functional decline (OR 3.5; 1.0–11.6), PD (OR 3.5; 1.5–8.4) and OS (HR 1.7; 1.2–2.4). Timed-Up-and-Go predicted OS (HR 1.8; 1.1–2.7). Handgrip strength and falls predicted functional decline (OR 4.5; 1.1–19 and OR 6.1; 1.4–25.8, respectively). PS predicted PD (OR 6.2; 2.6–14.7) and OS (HR 2.2; 1.5–3.2). ConclusionVES-13 was useful for predicting all three endpoints of interest. Frailty tools covering domains of functioning and nutrition are suggested for older patients with advanced gastrointestinal cancer.

Preoperative evaluation and surgical counselling in the elderly

The elderly are the largest segment of patients undergoing spine surgery and are expected to continue to grow with time. Proper preoperative evaluation of the elderly is something every spine surgeon will need to be adept at. Evaluating and optimizing an elderly patient leads to greater patient satisfaction, decreased postoperative complications and overall mortality. Age, while traditionally thought to predict preoperative risk, has consistently been a poor predictor of complications in spine patients. The concept of frailty and various related clinical tools have been developed and consistently validated to predict a given patient's capacity to successfully undergo surgery.

A scoping review of the Clinical Frailty Scale

BackgroundFrailty is increasingly recognized as an important construct which has health implications for older adults. The Clinical Frailty Scale (CFS) is a judgement-based frailty tool that evaluates specific domains including comorbidity, function, and cognition to generate a frailty score ranging from 1 (very fit) to 9 (terminally ill). The aim of this scoping review is to identify and document the nature and extent of research evidence related to the CFS.MethodsWe performed a comprehensive literature search to identify original studies that used the Clinical Frailty Scale. Medline OVID, Scopus, Web of Science, CINAHL, PsycINFO, Cochrane Library and Embase were searched from January 2005 to March 2017. Articles were screened by two independent reviewers. Data extracted included publication date, setting, demographics, purpose of CFS assessment, and outcomes associated with CFS score.ResultsOur search yielded 1688 articles of which 183 studies were included. Overall, 62% of studies were conducted after 2015 and 63% of the studies measured the CFS in hospitalized patients. The association of the CFS with an outcome was examined 526 times; CFS was predictive in 74% of the cases. Mortality was the most common outcome examined with CFS being predictive 87% of the time. CFS was associated with comorbidity 73% of the time, complications 100%, length of stay 75%, falls 71%, cognition 94%, and function 91%. The CFS was associated with other frailty scores 94% of the time.ConclusionsThis scoping review revealed that the CFS has been widely used in multiple settings. The association of CFS score with clinical outcomes highlights its utility in the care of the aging population.

Association between cognitive reserve dimensions and frailty among older adults: A structured narrative review.

Frailty is a broadly investigated geriatric condition, which is characterized by an increased vulnerability to stressors. It represents an extremely relevant public health issue, increasingly conceptualized in a multidimensional perspective. The concept of cognitive reserve (CR), as originally conceptualized by Stern, has been developed in the past decades as a potential factor able to determine individual differences in cognitive vulnerability and trajectories occurring with aging. Our purpose was to provide a comprehensive review of the literature exploring the relationship between CR dimensions, selected according to the Stern model, and frailty status. A review of the literature on the association between potential CR dimensions and frailty was carried out through PubMed, Web of Knowledge and Scopus. CR expressed in terms of education, occupation, premorbid intelligence quotient and leisure time activities was associated with frailty in both cross-sectional and longitudinal observations. The majority of reviewed evidence suggests a potential protective role of CR factors against the onset and the worsening of frailty among older adults. To the best of our knowledge, this is the first attempt to provide a comprehensive overview regarding the association between CR dimensions and frailty. Education, occupation, premorbid intelligence quotient and leisure time activities are able to interact with the general concept of frailty, rather than simply affecting the cognitive trajectory towards dementia. The lack of a unique and operationalized approach to the assessment of CR, as well as the wide heterogeneity of frailty evaluation tools and criteria, denote some methodological critical issues that need to be overcome. Geriatr Gerontol Int 2020; 20: 1005-1023..

Validation of \u201c(fr)AGILE\u201d: a quick tool to identify multidimensional frailty in the elderly

BackgroundSeveral tools have been proposed and validated to operationally define frailty. Recently, the Italian Frailty index (IFi), an Italian modified version of Frailty index, has been validated but its use in clinical practice is limited by long time of administration. Therefore, the aim of this study was to create and validate a quick version of the IFi (AGILE).MethodsValidation study was performed by administering IFi and AGILE, after a Comprehensive Geriatric Assessment (CGA) in 401 subjects aged 65 or over (77 ± 7 years). AGILE was a 10-items tool created starting from the more predictive items of the four domains of frailty investigated by IFi (mental, physical, socioeconomic and nutritional). AGILE scores were stratified in light, moderate and severe frailty. At 24 months of follow-up, death, disability (taking into account an increase in ADL lost ≥1 from the baseline) and hospitalization were considered. Area under curve (AUC) was evaluated for both IFi and AGILE.ResultsAdministration time was 9.5 ± 3.8 min for IFi administered after a CGA, and 2.4 ± 1.2 min for AGILE, regardless of CGA (p < 0.001). With increasing degree of frailty, prevalence of mortality increased progressively from 6.5 to 41.8% and from 9.0 to 33.3%, disability from 16.1 to 64.2% and from 22.1 to 59.8% and hospitalization from 17.2 to 58.7% and from 27.0 to 52.2% with AGILE and IFi, respectively (p = NS). Relative Risk for each unit of increase in AGILE was 56, 44 and 24% for mortality, disability and hospitalization, respectively and was lower for IFi (8, 7 and 4% for mortality, disability and hospitalization, respectively). The AUC was higher in AGILE vs. IFi for mortality (0.729 vs. 0.698), disability (0.715 vs. 0.682) and hospitalization (0.645 vs. 0.630).ConclusionsOur study shows that AGILE is a rapid and effective tool for screening multidimensional frailty, able to predict mortality, disability and hospitalization, especially useful in care settings that require reliable assessment instruments with short administration time.

Novel bypass risk predictive tool is superior to the 5-Factor Modified Frailty Index in predicting postoperative outcomes

ObjectiveThis study aimed to develop risk predictive models of 30-day mortality, morbidity, and major adverse limb events (MALE) after bypass surgery for aortoiliac occlusive disease (AIOD) and to compare their performances with a 5-Factor Frailty Index. MethodsThe American College of Surgeons National Surgical Quality Improvement Program 2012-2017 Procedure Targeted Aortoiliac (Open) Participant Use Data Files were queried to identify all patients who had elective bypass for AIOD: femorofemoral bypass, aortofemoral bypass, and axillofemoral bypass (AXB). Outcomes assessed included mortality, major morbidity, and MALE within 30 days postoperatively. Major morbidity was defined as pneumonia, unplanned intubation, ventilator support for >48 hours, progressive or acute renal failure, cerebrovascular accident, cardiac arrest, or myocardial infarction. Demographics, comorbidities, procedure type, and laboratory values were considered for inclusion in the risk predictive models. Logistic regression models for mortality, major morbidity and MALE were developed. The discriminative ability of these models (C-indices) were compared with that of the 5-Factor Modified Frailty Index (mFI-5): a general frailty tool determined from diabetes, functional status, history of chronic obstructive pulmonary disease, history of congestive heart failure, and hypertension. Calculators were derived using the most significant variables for each of the three risk predictive models. ResultsA total of 2612 cases (mean age 65.0, 60% male) were identified, of which 1149 (44.0%) were femorofemoral bypass, 1138 (43.6%) were aortofemoral bypass, and 325 (12.4%) were axillofemoral bypass. Overall, the rates of mortality, major morbidity, and MALE were 2.0%, 8.5%, and 4.9%, respectively. Twenty preoperative risk factors were considered for incorporation in the risk tools. Apart from procedure type, age was the most statistically significant predictor of both mortality and morbidity. Preoperative anemia and critical limb ischemia were the most significant predictors of MALE. All three constructed models demonstrated significantly better discriminative ability (P < .001) on the outcomes of interest as compared with the mFI-5. ConclusionsOur models outperformed the mFI-5 in predicting 30-day mortality, major morbidity, and adverse limb events in patients with AIOD undergoing elective bypass surgery. Calculators were created using the most statistically significant variables to help calculate individual patient's postoperative risks and allow for better informed consent and risk-adjusted comparison of provider outcomes.

The prevalence of cognitive frailty and pre-frailty among older people in Bangkok metropolitan area: a multicenter study of hospital-based outpatient clinics.

Objectives:To identify the prevalence of, and factors associated with, cognitive frailty and prefrailty, and to investigate correlation between frailty tools.Methods:One hundred and ninety five older adults were recruited from the medical outpatient clinics of 3 tertiary hospitals in Bangkok metropolitan region. The data collected were demographic information, lifestyle factors, functional status, mood assessment, and cognitive and frailty assessments. The frailty tools used were Frailty Phenotype and FRAIL scale.Results:The prevalence of pre-frailty, frailty, mild cognitive impairment (MCI), cognitive pre-frailty and cognitive frailty was 57.4%, 15.9%, 26.2%, 14.4% and 6.7%, respectively. A multivariate analysis showed that age ≥70 years (OR 5.34; 95% CI 2.06-12.63), and education at primary school or under (OR 4.18; 95% CI 1.61-10.82) were associated with cognitive frailty and cognitive pre-frailty. The correlation between physical frailty rated by the Modified Fried Frailty Phenotype and the FRAIL scale was good (Kappa coefficient = 0.741).Conclusions:The prevalence of cognitive frailty is not uncommon which requires screening and interventions. Age and a low educational level were related to cognitive frailty/prefrailty. The FRAIL scale yielded a high correlation with Frailty phenotypes, implying its benefit in routine clinical use in primary care practice, where there is limited time and resources.

Comparison of geriatric assessment tools for frailty among community elderly

BackgroundFrailty is an important condition in elderly individuals because it increases disability, morbidity, and mortality. The definition frailty from the Cardiovascular Health Study (CHS) criteria is used worldwide and defined as fulfilling 3 out of the 5 phenotypic criteria that indicate compromised energetics: weakness, slowness, low level of physical activity, self-reported exhaustion, and unintentional weight loss. ObjectiveThis research aims to study the validity of 5 screening methods, e.g., Clinical Frailty Scale, simple FRAIL questionnaire, PRISMA-7 questionnaire, Time Up and Go Test (TUG), and Gérontopôle frailty screening tool (GFST), and compare those results with the definition of frailty by using the CHS criteria for screening frailty. MethodsWe conducted a cross-sectional study. The sample was 214 elderly individuals, aged ≥60 years, and living in the community. We used 5 screening tests and the Fried phenotype (CHS criteria) as a reference standard. Analysis of the sensitivity, specificity, PPV, NPV, LR+, LR-, and accuracy of each screening was compared with the Fried phenotype (CHS criteria). ResultsThe prevalence of frailty of elderly individuals in the community was 11.7% when using the Fried phenotype (CHS criteria). The Clinical Frailty Scale has sensitivity 56%, specificity 98.41%, PPV 82.35%, NPV 94.42%, LR+ 35.28, LR- 0.45, and accuracy 93.46%. The simple FRAIL questionnaire has sensitivity 88%, specificity 85.71%, PPV 44.90%, NPV 98.18%, LR+ 6.61, LR- 0.14, and accuracy 85.98%. The PRISMA-7 questionnaire has sensitivity 76%, specificity 86.24%, PPV 42.22%, NPV 96.45%, LR+ 5.52, LR- 0.28, and accuracy 85.05%. TUG has sensitivity 72%, specificity 82.54%, PPV 35.29%, NPV 95.71%, LR+ 4.12, LR- 0.34, and accuracy 81.31%. The GFST has sensitivity 88%, specificity 83.56%, PPV 41.51%, NPV 98.14%, LR+ 5.37, LR- 0.14, and accuracy 84.11%. ConclusionsThe simple FRAIL questionnaire and GFST have the highest sensitivity compared with the CHS criteria. All screening tests in this study have an accuracy of more than 80% compared with the CHS criteria.

Development of a Frailty Index from Routine Hospital Data in Perioperative and Critical Care.

Frailty is common in surgical and intensive care unit (ICU) populations, yet it is not routinely measured. Frailty indices are able to quantify this condition across a range of health deficits. We aimed to develop a frailty index (FI) from routinely collected hospital data in a surgical and ICU population. Prospective observational single-center cohort study. Tertiary referral metropolitan Australian hospital. A total of 336 individuals aged 65 and older undergoing surgery or aged 50 and older admitted to the ICU. Routine admission health data were used to derive an FI comprising 36 health deficits. We examined the FI correlation with existing frailty tools (Clinical Frailty Scale [CFS] and Edmonton Frail Scale [EFS]) and assessed its predictive ability for negative outcomes including 30-day mortality. Median FI was .17 (interquartile range [IQR]) = .10-.24) for ICU patients and .17 (IQR = .11-.25) for surgical patients; maximum FI was .58, and 25% (95% confidence interval [CI] = 10.4-29.6) of patients overall were diagnosed with frailty (FI score ≥.25). Correlation was strong between the FI and the EFS: ρ = .76 (95% CI = .70-.83) for ICU patients and .71 (95% CI = .64-.78) for surgical patients, and the CFS was .77 (95% CI = .70-.84) for ICU patients and .72 (95% CI = .65-.79) for surgical patients. The FI had good discriminative ability for prediction of 30-day mortality in ICU patients (multivariate odds ratio for each increase in FI of .1 = 2.04 [95% CI = 1.19-3.48]), comparable with the performance of the Acute Physiology and Chronic Health Evaluation III score (ICU patients) and the Portsmouth Physiological and Operative Severity Score for the Enumeration of Mortality and Morbidity score (surgical patients). It is feasible to construct an FI from hospital admission data in a cohort of critically ill and surgical patients.