Beyond the revised cardiac risk index: Validation of the hospital frailty risk score in non-cardiac surgery.

Frailty is an established risk factor for adverse outcomes following non-cardiac surgery. The Hospital Frailty Risk Score (HFRS) is a recently described frailty assessment tool that harnesses administrative data and is composed of 109 International Classification of Disease variables. We aimed to examine the incremental prognostic utility of the HFRS in a generalizable surgical population. Using linked administrative databases, a retrospective cohort of patients admitted for non-cardiac surgery between October 1st, 2008 and September 30th, 2019 in Alberta, Canada was created. Our primary outcome was a composite of death, myocardial infarction or cardiac arrest at 30-days. Multivariable logistic regression was undertaken to assess the impact of HFRS on outcomes after adjusting for age, sex, components of the Charlson Comorbidity Index (CCI), Revised Cardiac Risk Index (RCRI) and peri-operative biomarkers. The final cohort consisted of 712,808 non-cardiac surgeries, of which 55·1% were female and the average age was 53·4 +/- 22·4 years. Using the HFRS, 86.3% were considered low risk, 10·7% were considered intermediate risk and 3·1% were considered high risk for frailty. Intermediate and high HFRS scores were associated with increased risk of the primary outcome with an adjusted odds ratio of 1·61 (95% CI 1·50-1.74) and 1·55 (95% CI 1·38-1·73). Intermediate and high HFRS were also associated with increased adjusted odds of prolonged hospital stay, in-hospital mortality, and 1-year mortality. The HFRS is a minimally onerous frailty assessment tool that can complement perioperative risk stratification in identifying patients at high risk of short- and long-term adverse events.

Frailty and Quality of Life After Cochlear Implantation in Older Adults.

OBJECTIVE: To examine the relationship among frailty index, hearing measures, and hearing-related quality of life (QOL) in older recipients of cochlear implants. STUDY DESIGN: Cross-sectional survey. SETTING: Academic medical center. METHODS: Adults aged ≥65 years at the time of receiving cochlear implants between July 13, 2000, and April 3, 2019, were asked to complete a questionnaire on hearing-related QOL. Chart review was performed to identify patients' characteristics. Correlations were calculated between frailty index and audiologic outcome measures as well as between speech recognition scores and QOL scores. Linear regression models were developed to examine the impact of clinical characteristics, frailty index, and hearing measures on hearing-related QOL. RESULTS: Data for 143 respondents were included. The mean age was 80.7 years (SD, 7.1), with a mean 27.8 years of hearing loss (SD, 17.4) before implantation. The mean frailty index was 11.1 (SD, 10.6), indicating that patients had 1 or 2 of the measured comorbidities on average. No correlation was found between lower frailty index (better health) and hearing scores, including pure tone averages (PTAs) and speech recognition scores. Lower frailty index and larger improvement in PTA after cochlear implantation predicted better QOL scores on univariate analysis (respectively, P = .002, ß = -0.42 [95% CI, -0.68 to -0.16]; P = .008, ß = -0.15 [95% CI, -0.26 to -0.04]) and multivariate analysis (P = .047, ß = -0.28 [95% CI, -0.55 to -0.01]; P = .006, ß = -0.16 [95% CI, -0.28 to -0.05]). No speech recognition scores correlated with QOL after cochlear implantation. CONCLUSIONS: Frailty index does not correlate with hearing scores after cochlear implantation in older adults. Lower frailty index and more improvement in PTA predict better QOL scores after cochlear implantation in older adults.

Life expectancy estimates based on comorbidities and frailty to inform preventive care.

BACKGROUND: Long-term prognostication is important to inform preventive care in older adults. Existing prediction indices incorporate age and comorbidities. Frailty is another important factor in prognostication. In this project, we aimed at developing life expectancy estimates that incorporate both comorbidities and frailty. METHODS: In this retrospective cohort study, we used data from a 5% sample of Medicare beneficiaries with and without history of cancer from Surveillance, Epidemiology, and End Results (SEER) cancer registry areas. We included adults aged 66-95 years who were continuously enrolled in fee-for-service Medicare for ≥1 year from 1998 to 2014. Participants were followed for survival until 12/31/2015, death, or disenrollment. Comorbidity (none, low/medium, high) and frailty categories (low, high) were defined using established methods for claims. We estimated 5- and 10-year survival probabilities and median life expectancies by age, sex, comorbidities, and frailty. RESULTS: The study included 479,646 individuals (4,128,316 person-years), of whom most were women (58.7%). Frailty scores varied widely among participants in the same comorbidity category. In Cox models, both comorbidities and frailty were independent predictors of mortality. Individuals with high comorbidities (HR, 3.24; 95% CI, 3.20-3.28) and low/medium comorbidities (HR, 1.36; 95% CI, 1.34-1.39) had higher risks of death than those with no comorbidities. Compared to low frailty, high frailty was associated with higher risk of death (HR, 1.55; 95% CI, 1.52-1.58). Frailty affected life expectancy estimates in ways relevant to preventive care (i.e., distinguishing <10-year versus >10-year life expectancy) in multiple subgroups. CONCLUSION: Incorporating both comorbidities and frailty may be important in estimating long-term life expectancies of older adults. Our life expectancy tables can aid clinicians' prognostication and inform simulation models and population health management.

The feasibility and reliability of frailty assessment tools applicable in acute in-hospital trauma patients: A systematic review.

BACKGROUND: Assessing frailty in patients with an acute trauma can be challenging. To provide trustworthy results, tools should be feasible and reliable. This systematic review evaluated existing evidence on the feasibility and reliability of frailty assessment tools applied in acute in-hospital trauma patients. METHODS: A systematic search was conducted in relevant databases until February 2020. Studies evaluating the feasibility and/or reliability of a multidimensional frailty assessment tool used to identify frail trauma patients were identified. The feasibility and reliability results and the risk of bias of included studies were assessed. This study was conducted and reported in line with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement and registered in Prospective Register of Systematic Reviews (ID: CRD42020175003). RESULTS: Nineteen studies evaluating 12 frailty assessment tools were included. The risk of bias of the included studies was fair to good. The most frequently evaluated tool was the Clinical Frailty Scale (CFS) (n = 5). All studies evaluated feasibility in terms of the percentage of patients for whom frailty could be assessed; feasibility was high (median, 97%; range, 49-100%). Other feasibility aspects, including time needed for completion, tool availability and costs, availability of instructions, and necessity of training for users, were hardly reported. Reliability was only assessed in three studies, all evaluating the CFS. The interrater reliability varied between 42% and >90% agreement, with a Krippendorff α of 0.27 to 0.41. CONCLUSION: Feasibility of most instruments was generally high. Other aspects were hardly reported. Reliability was only evaluated for the CFS with results varying from poor to good. The reliability of frailty assessment tools for acute trauma patients needs further critical evaluation to conclude whether assessment leads to trustworthy results that are useful in clinical practice. LEVEL OF EVIDENCE: Systematic review, Level II.

The 5-Factor Modified Frailty Index in the Geriatric Surgical Population.

BACKGROUND: The modified frailty index (mFI-11) is a National Surgical Quality Improvement Program (NSQIP)-based 11-factor index that has been proven to adequately reflect frailty and predict mortality and morbidity. In the past years, certain NSQIP variables have been removed from the database; as of 2015, only 5 out of the original 11 factors remain. While the predictive power and usefulness of this 5-factor index (mFI-5) has been proven in previous work, it has yet to be studied in the geriatrics population. The goal of our study was to compare the mFI-5 to the mFI-11 in terms of value and predictive ability for mortality, postoperative infection, and unplanned 30-day readmission for patients aged 65 years and older. METHODS: Spearman's Rho was calculated to compare the value, and unadjusted and adjusted logistic regressions were created for three outcomes in nine surgical subspecialties. Correlation coefficients were above .86 across all surgical specialties except for cardiac surgery. Adjusted and unadjusted models showed similar C-statistics for mFI-5 and 11. RESULTS: Overall predictive values of geriatric mFI-5 and mFI-11 were lower than those for the general population but still had effective predictive value for mortality and post-operative complications (C-Stat ≥ .7) and weak predictive value for 30-day readmission. CONCLUSIONS: The mFI-5 is an equally effective predictor as the mFI-11 in all subspecialties and an effective predictor of mortality and postoperative complication in the geriatric population. This index has credibility for future use to study frailty within NSQIP, within other databases, and for clinical assessment and use.

Clinical Utility of the Risk Analysis Index as a Prospective Frailty Screening Tool within a Multi-practice, Multi-hospital Integrated Healthcare System.

OBJECTIVE: The goal of this project was to first address barriers to implementation of the Risk Analysis Index (RAI) within a large, multi-hospital, integrated healthcare delivery system, and to subsequently demonstrate its utility for identifying at-risk surgical patients. BACKGROUND: Prior studies demonstrate the validity of the RAI for evaluating preoperative frailty, but they have not demonstrated the feasibility of its implementation within routine clinical practice. METHODS: Implementation of the RAI as a frailty screening instrument began as a quality improvement initiative at the University of Pittsburgh Medical Center in July 2016. RAI scores were collected within a REDCap survey instrument integrated into the outpatient electronic health record and then linked to information from additional clinical datasets. NSQIP-eligible procedures were queried within 90 days following the RAI, and the association between RAI and postoperative mortality was evaluated using logistic regression and Cox proportional hazards models. Secondary outcomes such as inpatient length of stay and readmissions were also assessed. RESULTS: RAI assessments were completed on 36,261 unique patients presenting to surgical clinics across five hospitals from July 1 to December 31, 2016, and 8,172 of these underwent NSQIP-eligible surgical procedures. The mean RAI score was 23.6 (SD 11.2), the overall 30-day and 180-day mortality after surgery was 0.7% and 2.6%, respectively, and the median time required to collect the RAI was 33 [IQR 23-53] seconds. Overall clinic compliance with the recommendation for RAI assessment increased from 58% in the first month of the study period to 84% in the sixth and final month. RAI score was significantly associated with risk of death (HR=1.099 [95% C.I.: 1.091 - 1.106], p < 0.001). At an RAI cutoff of ≥37, the positive predictive values for 30- and 90-day readmission were 14.8% and 26.2%, respectively, and negative predictive values were 91.6% and 86.4%, respectively. CONCLUSIONS: The RAI frailty screening tool can be efficiently implemented within multi-specialty, multi-hospital healthcare systems. In the context of our findings and given the value of the RAI in predicting adverse postoperative outcomes, health systems should consider implementing frailty screening within surgical clinics.

5-Item Modified Frailty Index Predicts Outcomes After Below-Knee Amputation in the Vascular Quality Initiative Amputation Registry.

Patient frailty indices are increasingly being utilized to anticipate post-operative complications. This study explores whether a 5-factor modified frailty index (mFI-5) is associated with outcomes following below-knee amputation (BKA). All BKAs in the vascular quality initiative (VQI) amputation registry from 2012-2017 were reviewed. Preoperative frailty status was determined with the mFI-5 which assigns one point each for history of diabetes, chronic obstructive pulmonary disease or active pneumonia, congestive heart failure, hypertension, and nonindependent functional status. Outcomes included 30-day mortality, unplanned return to odds ratio (OR), post-op myocardial infarction (MI), post-op SSI, all-cause complication, revision to higher level amputation, disposition status, and prosthetic use. 2040 BKAs were performed. Logistic regression showed an increasing mFI-5 score that was associated with higher risk of combined complications (OR 1.22, confidence interval [CI] 1.07-1.38, P < .05), 30-day mortality (OR 1.60, CI 1.19-2.16, P < .05), post-op MI (OR 1.79, CI 1.30-2.45, P < .05), and failure of long-term prosthetic use (OR 1.17, CI 1.03-1.32, P < .05). In the VQI, every one-point increase in mFI-5 is associated with an increased risk of 22% for combined complications, 60% for 30-day mortality, nearly 80% for post-op MI, and 17% for failure of prosthetic use in BKA patients. The mFI-5 frailty index should be incorporated into preoperative planning and risk stratification.

Pearls and Pitfalls in the Crashing Geriatric Patient.

The geriatric population is growing and is the largest utilizer of emergency and critical care services; the emergency clinician should be comfortable in the management of the acutely ill geriatric patient. There are important physiologic changes in geriatric patients, which alters their clinical presentation and management. Age alone should not determine the prognosis for elderly patients. Premorbid functional status, frailty, and severity of illness should be considered carefully for the geriatric population. Emergency clinicians should have honest conversations about goals of care based not only a patient's clinical presentation but also the patient's values.

Clinical Frailty Scale in Predicting Postoperative Outcomes in Older Patients Undergoing Curative Surgery for Urologic Malignancies: A Prospective Observational Cohort Study.

OBJECTIVE: To examine the utility of the Clinical Frailty Scale (CFS) in predicting outcomes in older adults with urologic malignancies undergoing curative surgeries. METHODS: This prospective observational cohort study was conducted in a university-based tertiary medical center. Patients aged 75 years or older who were scheduled to undergo curative surgery for a urologic malignancy from January 2017 to December 2017 were recruited. Patients were grouped according to the CFS scores. The primary postoperative outcome measures were a major complication within 30 days and a decline in the activities of daily living (ADL) within 30 days and 90 days. Multivariable analyses and the area under the receiver operating characteristic curve were performed to investigate the association between the CFS and postoperative outcomes. RESULTS: A total of 82 patients, 50% women, were enrolled with mean age 81.6 years. The CFS was significantly associated with postoperative outcomes in a dose-response relationship. When compared with those with a CFS <5, patients with CFS scores ≥5 had a 10.3-times higher risk for a major complication, 8.5-times and 21.4-times higher risk for a decline in ADL within 30 days and 90 days. The area under the receiver operating characteristic curves for the CFS to predict a major complication, the 30-day decline in ADL and the 90-day decline in ADL were 0.60, 0.73, and 0.79. CONCLUSION: A higher CFS score predicted a higher risk of poor outcomes in this population. It is recommended that patients with higher CFS scores, especially above 5, are needed to receive further multidisciplinary perioperative care.

Prehabilitation of the Thoracic Surgery Patient.

Outcomes after thoracic surgery are better predicted by preoperative evaluation of patients' physiologic reserve (also known as personal biologic age rather than chronologic age), using validated assessment tools in multidisciplinary collaboration with geriatricians. Targetable risk factors should be identified, and methods should be utilized to minimize these risks. Prehabilitation has been validated as a tool to increase functional and nutritional status of patients undergoing surgery in other specialties and improve outcomes. Although research is still limited in thoracic surgery, early results are promising.

A Pilot Study of the Clinical Frailty Scale to Predict Frailty Transition and Readmission in Older Patients in Vietnam.

BACKGROUND: The Clinical Frailty Scale (CFS) is gaining increasing acceptance due to its simplicity and applicability. AIMS: This pilot study aims to examine the role of CFS in identifying the prevalence of frailty, frailty transition, and the impact of frailty on readmission after discharge in older hospitalized patients. METHODS: Patients aged ≥60 admitted to the geriatric ward of a hospital in Vietnam were recruited from 9/2018-3/2019 and followed for three months. Frailty was assessed before discharge and after three months, using the CFS (robust: score 1-2, pre-frail: 3-4, and frail: ≥5). Multivariate logistic regression was applied to investigate the associated factors of frailty transition and the impact of frailty on readmission. RESULTS: There were 364 participants, mean age 74.9, 58.2% female. At discharge, 4 were robust, 160 pre-frail, 200 frail. Among the 160 pre-frail participants at discharge, 124 (77.5%) remained pre-frail, and 36 (22.5%) became frail after 3 months. Age (adjusted OR1.09, 95% CI 1.03-1.16), number of chronic diseases (adjusted OR 1.37, 95% CI 1.03-1.82), and polypharmacy at discharge (adjusted OR 3.68, 95% CI 1.15-11.76) were significant predictors for frailty after 3 months. A frailty status at discharge was significantly associated with increased risk of readmission (adjusted OR2.87, 95% CI 1.71-4.82). CONCLUSIONS: Frailty was present in half of the participants and associated with increased risk of readmission. This study suggests further studies to explore the use of the CFS via phone calls for monitoring patients' frailty status after discharge, which may be helpful for older patients living in rural and remote areas.

The Impact of Frailty on Long-Term Patient-Oriented Outcomes after Emergency General Surgery: A Retrospective Cohort Study.

OBJECTIVES: Few studies examine the impact of frailty on long-term patient-oriented outcomes after emergency general surgery (EGS). We measured the prevalence of frailty among older EGS patients and examined the impact of frailty on 1-year outcomes. DESIGN: Retrospective cohort study using 2008 to 2014 Medicare claims. SETTING: Acute care hospitals. PARTICIPANTS: Patients 65 years or older who received one of the five EGS procedures with the highest mortality burden (partial colectomy, small bowel resection, peptic ulcer disease repair, adhesiolysis, or laparotomy). MEASUREMENTS: A validated claims-based frailty index (CFI) identified patients who were not frail (CFI < .15), pre-frail (.15 ≤ CFI < .25), mildly frail (.25 ≤ CFI < .35), and moderately to severely frail (CFI ≥ .35). Multivariable Cox regression compared 1-year mortality. Multivariable Poisson regression compared rates of post-discharge hospital encounters (hospitalizations, intensive care unit stay, emergency department visit) and home time over 1 year after discharge. All regression models adjusted for age, sex, race, admission from facility, procedure, sepsis, inpatient palliative care delivery, trauma center designation, hospital bed size, and teaching status, and they were clustered by patient and hospital referral region. RESULTS: Among 468 459 older EGS adults, 37.4% were pre-frail, 12.4% were mildly frail, and 3.6% were moderately to severely frail. Patients with mild frailty experienced a higher risk of 1-year mortality compared with non-frail patients (hazard ratio = 1.97; confidence interval [CI] = 1.94-2.01). In the year after discharge, patients with mild and moderate to severe frailty had more hospital encounters compared with non-frail patients (7.8 and 11.5 vs 2.0 per person-year; incidence rate ratio [IRR] = 4.01; CI = 3.93-4.08 vs IRR = 5.89; CI = 5.70-6.09, respectively). Patients with mild and moderate to severe frailty also had fewer days at home in the year after discharge compared with non-frail patients (256 and 203 vs 302 mean days; IRR = .97; CI = .96-.97 vs IRR = .95; CI = .94-.95, respectively). CONCLUSION: Older EGS patients with frailty are at increased risk for poor 1-year outcomes and decreased home time. Targeted interventions for older EGS patients with frailty during the index EGS hospitalization are urgently needed to improve long-term outcomes. J Am Geriatr Soc 68:1037-1043, 2020.

Frailty Phenotype and Cause-Specific Mortality in the United States.

BACKGROUND: Frailty is a common condition among older adults increasing risk of adverse outcomes including mortality; however, little is known about the incidence or risk of specific causes of death among frail individuals. METHODS: Data came from the Health and Retirement Study (HRS; 2004-2012), linked to underlying cause-of-death information from the National Death Index (NDI). Community-dwelling HRS participants aged 65 and older who completed a general health interview and physical measurements (n = 10,490) were included in analysis. Frailty was measured using phenotypic model criteria-exhaustion, low weight, low energy expenditure, slow gait, and weakness. Underlying causes of death were determined using International Classification of Diseases, Version 10 codes. We used Cox proportional hazards and competing risks regression models to calculate and compare incidence of cause-specific mortality by frailty status. RESULTS: During follow-up, prefrail and frail older adults had significantly greater hazard of all-cause mortality compared to individuals without symptoms (adjusted hazard ratio [HR] prefrail: 1.85, 95% CI: 1.51, 2.25; HR frail: 2.75, 95% CI: 2.14, 3.53). Frailty was associated with 2.96 (95% CI: 2.17, 4.03), 2.82 (95% CI: 2.02, 3.94), 3.48 (95% CI: 2.17, 5.59), and 2.87 (95% CI: 1.47, 5.59) times greater hazard of death from heart disease, cancer, respiratory illness, and dementia, respectively. CONCLUSIONS: Significantly greater risk of mortality from several different causes should be considered alongside the potential costs of screening and intervention for frailty in subspecialty and general geriatric clinical practice. Findings may help investigators estimate the potential impact of frailty reduction approaches on mortality.

Functional Connectivity of the Supplementary Motor Network Is Associated with Fried's Modified Frailty Score in Older Adults.

Frailty is a geriatric syndrome defined by coexistence of unintentional weight loss, low physical reserve, or activity and is associated with adverse health events. Neuroimaging studies reported structural white matter changes in frail patients. In the current study, we hypothesized that clinical frailty is associated also with functional changes in motion-related cortical areas, that is, (pre-)supplementary motor areas (SMA, pre-SMA). We expected that observed functional changes are related to motor-cognitive test performance. We studied a clinical sample of 143 cognitively healthy patients ≥65 years presenting for elective surgery, enrolled in the BioCog prospective multicentric cohort study on postoperative cognitive disorders. Participants underwent preoperative resting-state functional magnetic resonance imaging, motor-cognitive testing, and assessment of Fried's modified frailty criteria. We analyzed functional connectivity associations with frailty and motor-cognitive test performance. Clinically robust patients (N = 60) showed higher connectivity in the SMA network compared to frail (N = 13) and prefrail (N = 70) patients. No changes were found in the pre-SMA network. SMA connectivity correlated with motor speed (Trail-Making-Test A) and manual dexterity (Grooved Pegboard Test). Our results suggest that diminished functional connectivity of the SMA is an early correlate of functional decline in the older adults . The SMA may serve as a potential treatment target in frailty.

Impact of Multidomain Lifestyle Intervention on Frailty Through the Lens of Deficit Accumulation in Adults with Type 2 Diabetes Mellitus.

BACKGROUND: Type 2 diabetes and obesity increase the accumulation of health deficits and may accelerate biological aging. Multidomain lifestyle interventions may mitigate against this. METHODS: Within a large, randomized clinical trial of intensive lifestyle intervention including caloric restriction, increased physical activity, dietary counseling, and risk factor monitoring compared with diabetes support and education, we examined the accumulation of health deficits across 8 years. We used two complementary frailty indices (FIs) based on deficit accumulation, one modeled on work in the Systolic Blood Pressure Intervention Trial and the other including additional deficits related to obesity and type 2 diabetes mellitus. Differences between intervention groups and their consistency among subgroups were assessed with re-randomization tests. RESULTS: Data from 4,859 adults (45-76 years at baseline, 59% female) were analyzed. Random assignment to intensive lifestyle intervention was associated with lower FI scores throughout follow-up as captured by areas under curves traced by longitudinal means (p ≤ .001), over which time mean (SE) differences between intervention groups averaged 5.8% (0.9%) and 5.4% (0.9%) for the two indices. At year 8, the percentage of participants classified as frail (FI > 0.21) was lower among intensive lifestyle intervention (39.8% and 54.5%) compared with diabetes support and education (42.7% and 60.9%) for both FIs (both p < .001). Intervention benefits were relatively greater for participants who were older, not obese, and without history of cardiovascular disease at baseline. CONCLUSIONS: Eight years of multidomain lifestyle intervention create a buffer against the accumulation of age-related health deficits in overweight or obese adults with type 2 diabetes.ClinicalTrials.gov Identifier: NCT00017953.

Association between Diet Quality and Frailty Prevalence in the Physicians' Health Study.

OBJECTIVES: Limited data suggest that a healthy diet is associated with a lower risk of frailty. We sought to assess the relationship between three measures of diet quality and frailty among male physicians. DESIGN: Cross-sectional analysis of a cohort study. SETTING: Physicians' Health Study. PARTICIPANTS: A total of 9861 initially healthy US men, aged 60 years or older, who provided data on frailty status and dietary habits. MEASUREMENTS: A cumulative deficit frailty index (FI) was calculated using 33 variables encompassing domains of comorbidity, functional status, mood, general health, social isolation, and change in weight. Diet quality was measured using the Alternative Healthy Eating Index (aHEI), Mediterranean Diet Score (MDS), and Dietary Approaches to Stop Hypertension (DASH). RESULTS: The FI identified 38% of physicians as non-frail, 44% as pre-frail, and 18% as frail. Multinomial logistic regression models adjusted for age, smoking status, and energy intake showed that compared with the lowest aHEI quintiles, those in the highest quintiles had lower odds of frailty and pre-frailty compared with non-frailty (odds ratio [OR] for frailty = .47; 95% confidence interval [CI] = .39-.58; for pre-frailty: OR = .75; CI = .65-.87). Exercise did not modify this association (P interaction >.1). Similar relationships were observed for DASH and MDS quintiles with frailty and pre-frailty. Restricted cubic splines showed an inverse dose-response relationship of diet quality scores with odds of frailty and pre-frailty. CONCLUSION: Cross-sectional data show an inverse dose-response relationship of diet quality with pre-frailty and frailty. Future longitudinal studies are needed to investigate whether healthier diet is a modifiable risk factor for frailty. ClinicalTrials.gov identifier: NCT00000500. J Am Geriatr Soc 68:770-776, 2020.

Fragilidade de idosos atendidos em ambulatório de geriatria segundo a escala visual de fragilidade / Frailty in older adults attending an outpatient geriatric clinic as measured by the visual scale of frailty

INTRODUÇÃO: Os instrumentos atualmente existentes para diagnóstico de fragilidade apresentam limitações relacionadas à incorporação exclusiva de métodos de avaliação da mobilidade, não incorporação de comorbidades e dicotomização em frágil e não frágil, prejudicando a adequada identificação do idoso frágil. OBJETIVO: Avaliar o perfil de fragilidade da população em serviço de atenção secundária de geriatria de Belo Horizonte, Brasil, segundo a Escala Visual de Fragilidade e descrever os cinco níveis de estado de saúde aventados quanto à funcionalidade, incapacidades e comorbidades. METODOLOGIA: Foram avaliados prontuários de pacientes atendidos entre fevereiro de 2011 e fevereiro de 2014 e foi realizada a classificação desses idosos segundo a Escala Visual de Fragilidade. As análises de variáveis contínuas foram realizadas pelo teste ANOVA ou Kruskal-Wallis e, para as variáveis categóricas, o teste do χ2, por meio do Statistical Packagefor the Social Sciences (SPSS®) 19.0. RESULTADOS: Foram avaliados 813 prontuários, entre esses pacientes, 5,2% foram considerados como robusto, 31% sob risco de fragilização, 24,6% como frágil, 34,8% como frágil de alta complexidade e 4,4% como frágil em fase final de vida. A análise das categorias de estado de saúde demonstrou associação entre essas categorias e o maior acometimento da funcionalidade e maior presença de incapacidades e comorbidades. CONCLUSÃO: A Escala Visual de Fragilidade demonstrou ser uma importante ferramenta na avaliação do estado de saúde dos idosos e indicou elevado nível de fragilidade na população estudada

BACKGROUND: Existing instruments for the diagnosis of frailty are limited by their focus on mobility evaluation, failure to incorporate comorbidities, and dichotomous classification of patients as frail or non-frail, which hinders adequate identification of frail older adults. OBJECTIVE: To evaluate the frailty profile of outpatients seen at a secondary geriatric care service in Belo Horizonte, Brazil, as measured by the Visual Scale of Frailty, and describe the five levels of health status proposed by this instrument in terms of function, disabilities, and comorbidities. METHODS: The medical records of patients who attended the clinic between February 2011 and February 2014 were evaluated, and the patients classified in accordance with the Visual Scale of Frailty. Continuous variables were analyzed by ANOVA or the Kruskal-Wallis test, and categorical variables, by the χ2 test. Analyses were performed in SPSS Version 19.0. RESULTS: A total of 813 medical records were evaluated. Among these patients, 5.2% were considered robust, 31% at risk of frailty, 24.6% as frail, 34.8% as highly complex frail, and 4.4% as frail individuals in the final stage of life. Analysis of the health status categories demonstrated an association between these categories, greater functional impairment, and greater presence of disabilities and comorbidities. CONCLUSION: The Visual Scale of Frailty is a useful tool in assessing the health status of older adults and indicated a high prevalence of frailty in the studied population.

Association of Frailty and Postoperative Complications With Unplanned Readmissions After Elective Outpatient Surgery.

Importance: Ambulatory surgery in geriatric populations is increasingly prevalent. Prior studies have demonstrated the association between frailty and readmissions in the inpatient setting. However, few data exist regarding the association between frailty and readmissions after outpatient procedures. Objective: To examine the association between frailty and 30-day unplanned readmissions after elective outpatient surgical procedures as well as the potential mediation of surgical complications. Design, Setting, and Participants: In this retrospective cohort study of elective outpatient procedures from 2012 and 2013 in the National Surgical Quality Improvement Program (NSQIP) database, 417 840 patients who underwent elective outpatient procedures were stratified into cohorts of individuals with a length of stay (LOS) of 0 days (LOS = 0) and those with a LOS of 1 or more days (LOS ≥ 1). Statistical analysis was performed from June 1, 2018, to March 31, 2019. Exposure: Frailty, as measured by the Risk Analysis Index. Main Outcomes and Measures: The main outcome was 30-day unplanned readmission. Results: Of the 417 840 patients in this study, 59.2% were women and unplanned readmission occurred in 2.3% of the cohort overall (LOS = 0, 2.0%; LOS ≥ 1, 3.4%). Frail patients (mean [SD] age, 64.9 [15.5] years) were more likely than nonfrail patients (mean [SD] age, 35.0 [15.8] years) to have an unplanned readmission in both LOS cohorts (LOS = 0, 8.3% vs 1.9%; LOS ≥ 1, 8.5% vs 3.2%; P < .001). Frail patients were also more likely than nonfrail patients to experience complications in both cohorts (LOS = 0, 6.9% vs 2.5%; LOS ≥ 1, 9.8% vs 4.6%; P < .001). In multivariate analysis, frailty doubled the risk of unplanned readmission (LOS = 0: adjusted relative risk [RR], 2.1; 95% CI, 2.0-2.3; LOS ≥ 1: adjusted RR, 1.8; 95% CI, 1.6-2.1). Complications occurred in 3.1% of the entire cohort, and frailty was associated with increased risk of complications (unadjusted RR, 2.6; 95% CI, 2.4-2.8). Mediation analysis confirmed that complications are a significant mediator in the association between frailty and readmissions; however, it also indicated that the association of frailty with readmission was only partially mediated by complications (LOS = 0, 22.8%; LOS ≥ 1, 29.3%). Conclusions and Relevance: These findings suggest that frailty is a significant risk factor for unplanned readmission after elective outpatient surgery both independently and when partially mediated through increased complications. Screening for frailty might inform the development of interventions to decrease unplanned readmissions, including those for outpatient procedures.

Use of comprehensive geriatric assessment (CGA) to define frailty in geriatric oncology: Searching for the best threshold. Cross-sectional study of 418 old patients with cancer evaluated in the Geriatric Frailty Clinic (G.F.C.) of Toulouse (France).

OBJECTIVES: A consensual and operational definition of frailty is necessary in geriatric oncology. While many studies have focused on geriatric syndromes evaluated in the comprehensive geriatric assessment (CGA) to select patients at higher risk of poor outcomes, few have compared CGA data with Fried's phenotype of frailty, the most consensual measurement of frailty in geriatrics. Our objective was to determine a threshold of impaired domains evaluated in CGA associated with Frailty status. METHODS: A cross-sectional study including all patients with cancer, evaluated from January 2011 to February 2016 at the Geriatric Frailty Clinic, Toulouse. A CGA was performed evaluating seven geriatric domains. Frailty was measured by Fried's phenotype to classify patients into three groups (robust/pre-frail/frail). We plotted a ROC curve to determine the threshold of impaired domains associated with frailty according to Fried. RESULTS: We included 418 patients aged 82.8 years (range 66-100 years). Thirty-three patients (7.9%) were robust, 155 (37.1%) pre-frail and 230 (55%) frail. There was a significant difference in ADL, IADL, nutrition, cognition and polypharmacy between the three groups (p < .001 for each domain). Frail patients had more impaired geriatric domains on CGA than pre-frail and robust patients (respectively 4.5 ±â€¯1.5, 2.8 ±â€¯1.6 and 2.1 ±â€¯1.2; p < .001). The threshold of 4 impaired geriatric domains associated with Fried's Frailty status was identified (Se 77.39%, Sp 67.55%). Area under the curve was 79.6%. CONCLUSION: The phenotype of frailty is associated with more impaired geriatric domains and a threshold of 4 altered domains could be used to detect frailty from CGA data.