Upper-extremity function prospectively predicts adverse discharge and all-cause COPD readmissions: a pilot study.

BACKGROUND: Frailty can inform management approaches for individuals with COPD. However, inpatient measures of frailty are seldom employed because they are time-consuming or inapplicable for bed-bound patients. We investigated the feasibility and potential of an innovative sensor-based upper-extremity function (UEF) test for frailty assessment in predicting adverse outcomes. METHODS: Hospitalized patients with COPD-related exacerbations (aged ≥55 years) were recruited and performed the UEF test within 24 hours of admission. UEF parameters were obtained and fed into our previously developed frailty model to calculate frailty status (non-frail, pre-frail, and frail) and frailty score (0: extreme resilience to 1: extreme frailty). In-hospital (length of stay) and post-discharge (discharge disposition, 30-day exacerbation with treatment, and all-cause 30-day readmission) outcomes were collected. Associations between UEF frailty and outcomes were investigated using ANOVA and logistic models adjusted for demographic data. RESULTS: In total, 42 patients were recruited. All participants were able to perform the UEF test. Based on UEF, participants were stratified into three groups of non-frail (n=6, frailty score =0.18±0.09), pre-frail (n=14, frailty score =0.45±0.09), and frail (n=22, frailty score =0.78±0.11). Both frailty status and frailty score were significantly associated with unfavorable discharge disposition (P<0.005) and all-cause 30-day readmission (P<0.05). On the other hand, UEF frailty measures were associated with neither hospital length of stay (P>0.5) nor 30-day exacerbation with treatment (P>0.70). Age was only significantly associated with unfavorable discharge disposition (P=0.048). CONCLUSION: In agreement with previous work, the current findings underline the importance of measuring frailty for risk-stratification of COPD patients. The UEF was feasible and easily performed among all hospitalized COPD patients. In this study, we have shown that, using our quick and objective frailty measures, COPD patients can be prospectively risk-stratified in terms of unfavorable discharge disposition and all-cause 30-day readmissions.

The association between cognition and dual-tasking among older adults: the effect of motor function type and cognition task difficulty.

BACKGROUND: Dual-task actions challenge cognitive processing. The usefulness of objective methods based on dual-task actions to identify the cognitive status of older adults has been previously demonstrated. However, the properties of select motor and cognitive tasks are still debatable. We investigated the effect of cognitive task difficulty and motor task type (walking versus an upper-extremity function [UEF]) in identifying cognitive impairment in older adults. METHODS: Older adults (≥65 years) were recruited, and cognitive ability was measured using the Montreal Cognitive Assessment (MoCA). Participants performed repetitive elbow flexion under three conditions: 1) at maximum pace alone (Single-task); and 2) while counting backward by ones (Dual-task 1); and 3) threes (Dual-task 2). Similar single- and dual-task gait were performed at normal speed. Three-dimensional kinematics were measured for both motor functions using wearable sensors. RESULTS: One-hundred older adults participated in this study. Based on MoCA score <20, 21 (21%) of the participants were considered cognitively impaired (mean age =86±10 and 85±5 for cognitively impaired and intact participants, respectively). Within ANOVA models adjusted with demographic information, UEF dual-task parameters, including speed and range-of-motion variability were significantly higher by 52% on average, among cognitively impaired participant (p<0.01). Logistic models with these UEF parameters plus age predicted cognitive status with sensitivity, specificity, and area under curve (AUC) of 71%, 81% and 0.77 for Dual-task 1. The corresponding values for UEF Dual-task 2 were 91%, 73% and 0.81, respectively. ANOVA results were non-significant for gait parameters within both dual-task conditions (p>0.26). CONCLUSION: This study demonstrated that counting backward by threes within a UEF dual-task experiment was a pertinent and challenging enough task to detect cognitive impairment in older adults. Additionally, UEF was superior to gait as the motor task component of the dual-task. The UEF dual-task could be applied as a quick memory screen in a clinical setting.

Clinical and Community Strategies to Prevent Falls and Fall-Related Injuries Among Community-Dwelling Older Adults.

Falls in older adults are the result of several risk factors across biological and behavioral aspects of the person, along with environmental factors. Falls can trigger a downward spiral in activities of daily living, independence, and overall health outcomes. Clinicians who care for older adults should screen them annually for falls. A multifactorial comprehensive clinical fall assessment coupled with tailored interventions can result in a dramatic public health impact, while improving older adult quality of life. For community-dwelling older adults, effective fall prevention has the potential to reduce serious fall-related injuries, emergency room visits, hospitalizations, institutionalization, and functional decline.

Redefining the association between old age and poor outcomes after trauma: The impact of frailty syndrome.

BACKGROUND: Frailty syndrome (FS) is a well-established predictor of outcomes in geriatric patients. The aim of this study was to quantify the prevalence of FS in geriatric trauma patients and to determine its association with trauma readmissions, repeat falls, and mortality at 6 months. METHODS: we performed a 2-year (2012-2013) prospective cohort analysis of all consecutive geriatric (age, ≥ 65 years) trauma patients. FS was assessed using a Trauma-Specific Frailty Index (TSFI). Patients were stratified into: nonfrail, TSFI ≤ 0.12; prefrail, TSFI = 0.1 to 0.27; and frail, TSFI > 0.27. Patient follow-up occurred at 6 months to assess outcomes. Regression analysis was performed to assess independent associations between TSFI and outcomes. RESULTS: Three hundred fifty patients were enrolled. Frail patients were more likely to develop in-hospital complications (nonfrail, 12%; prefrail, 17.4%; and frail, 33.4%; p = 0.02) and an adverse discharge disposition compared with nonfrail and prefrail (nonfrail, 8%; prefrail,18%; and frail, 47%; p = 0.001). Six-month follow-up was recorded in 80% of the patients. Compared with nonfrail patients, frail patients were more likely to have had a trauma-related readmission (odds ratio [OR], 1.4; 95% confidence interval [CI], 1.2-3.6) and/or repeated falls (OR, 1.6; 95%CI, 1.1-2.5) over the 6-month period. Overall 6-month mortality was 2.8% (n = 10), and frail elderly patients were more likely to have died (OR, 1.1; 95% CI, 1.04-4.7) compared with nonfrail patients. CONCLUSION: Over a third of geriatric trauma patients had FS. TSFI provides a practical and accurate assessment tool for identifying elderly trauma patients who are at increased risk of both short-term and long-term outcomes. Early focused intervention in frail geriatric patients is warranted to improve long-term outcomes. LEVEL OF EVIDENCE: Prognostic study, level II.

HIV-Related Frailty Is Not Characterized by Sarcopenia.

Frailty is common in HIV-infected patients, but its causes are elusive. We assessed 122 clinic patients for frailty using the 5-measure Fried Frailty criteria. The prevalence of frailty was 19% (n = 23) and all frail patients reported exhaustion with a Center for Epidemiologic Studies Depression Scale score >16 indicating depression. The next most common criterion was low physical activity (expenditure of kcal/week). Markers of sarcopenia such as decreased grip strength and decreased gait speed, hallmarks of frailty in the elderly, were the least common of the 5 criteria. Frailty was reversible: 6 frail patients returned for reassessment and only 2 were frail. We conclude that frailty in the HIV-infected patients is potentially reversible and strongly associated with depression and low physical activity, whereas frailty in the elderly is associated with aging-related sarcopenia and is often irreversible.

Emergency General Surgery in the Elderly: Too Old or Too Frail?

BACKGROUND: Assessment of operative risk in geriatric patients undergoing emergency general surgery (EGS) is challenging. Frailty is an established measure for risk assessment in elective surgical cases. Emerging literature suggests the superiority of frailty measurements to chronological age in predicting outcomes. The aim of this study was to assess the outcomes in elderly patients undergoing EGS using an established Rockwood frailty index. STUDY DESIGN: We prospectively measured preadmission frailty in all geriatric (aged 65 years and older) patients undergoing EGS at our institution during a 2-year period. Frailty index (FI) was calculated using the modified 50-variable Rockwood Preadmission FI. Frail patients were defined by FI ≥ 0.25. Outcomes measures were in-hospital complications, development of major complications, and mortality. Multivariate regression analysis was performed. RESULTS: A total of 220 patients were enrolled, of which 82 (37%) were frail. Frailty index score did not correlate with age (R = 0.64; R(2) = 0.53; p = 0.1) and poorly correlated with American Society of Anesthesiologists score (R = 0.51; R(2) = 0.44; p = 0.045). Thirty-five percent (n = 77) of patients had postoperative complications and 19% (n = 42) had major complications. Frailty index was an independent predictor for development of in-hospital complications (odds ratio = 2.13; 95% CI, 1.09-4.16; p = 0.02) and major complications (odds ratio = 3.87; 95% CI, 1.69-8.84; p = 0.001). Age and American Society of Anesthesiologists score were not predictive of postoperative and major complications. Our FI model had 80% sensitivity, 72% specificity, and area under the curve of 0.75 in predicting complications in geriatric patients undergoing EGS. The overall mortality rate was 3.2% (n = 7) and all patients who died were frail. CONCLUSIONS: Frailty index independently predicts postoperative complications, major complications, and hospital length of stay in elderly patients undergoing emergency general surgery. Use of FI will provide insight into the hospital course of elderly patients, allowing for identification of patients in need and more efficient allocation of hospital resources.

Emergency general surgery specific frailty index: A validation study.

INTRODUCTION: Assessment of operative risk in geriatric patients undergoing emergency general surgery (EGS) is challenging. Frailty is an established measure for risk assessment in surgical cases. The aim of our study was to validate a modified 15-variable EGS-specific frailty index (EGSFI). METHODS: We prospectively collected geriatric (age older than 65 years) EGS patients for 2 years. Postoperative complications were collected. Frailty index was calculated for 200 patients based on their preadmission condition using 50-variable modified Rockwood frailty index. Emergency general surgery-specific frailty index was developed based on the regression model for complications and the most significant factors in the frailty index. Receiver operating characteristic curve analysis was performed to determine cutoff for frail status. We validated our results using 60 patients for predicting complications. RESULTS: A total of 260 patients (developing, 200; validation, 60) were enrolled in this study. Mean age was 71 ± 11 years, and 33% developed complications. Most common complications were pneumonia (12%), urinary tract infection (9%), and wound infection (7%). Univariate analysis identified 15 variables significantly associated with complications that were used to develop the EGSFI. A cutoff frailty score of 0.325 was identified using receiver operating characteristic curve analysis for frail status. Sixty patients (frail, 18; nonfrail, 42) were enrolled in the validation cohort. Frail patients were more likely to have postoperative complications (47% vs. 20%; p < 0.001) compared to nonfrail patients. Frail status based on EGSFI was a significant predictor of postoperative complications (odds ratio, 7.3; 95% confidence interval, 1.7-19.8; p = 0.006). Age was not associated with postoperative complications (odds ratio, 0.99; 95% confidence interval, 0.92-1.06; p = 0.86). CONCLUSION: The 15-variable validated EGSFI is a simple and reliable bedside tool to determine the frailty status of patients undergoing EGS. Frail status as determined by the EGSFI is an independent predictor of postoperative complications and mortality in geriatric EGS patients. LEVEL OF EVIDENCE: Prognostic study, level II.

Advance directives for older adults in the emergency department: a systematic review.

BACKGROUND: It has been more than two decades since the passage of the Patient Self-Determination Act (PSDA) of 1991, an act that requires many medical points of care, including emergency departments (EDs), to provide information to patients about advance directives (ADs). OBJECTIVE: The study objective was to determine the prevalence of ADs among ED patients with a focus on older adults and factors associated with rates of completion. METHODS: We searched PubMed, Embase, PsycINFO, CINAHL, Web of Science, Medline, and the Cochrane Library. Articles were selected according to the following criteria: (1) population: adult ED patients; (2) outcome measures: quantitative prevalence data pertaining to ADs and factors associated with completion of an AD; (3) location: EDs in the United States; and (4) date: published 1991 or later. RESULTS: Of the 258 references retrieved as a result of our search, six studies met inclusion criteria. Rates of patient-reported AD completion ranged from 21% to 53%, while ADs were available to ED personnel for 1% to 44% of patients. Patients aged ≥65 years had ADs 21% to 46% of the time. Sociodemographics (e.g., older age, specific religion, white or African American race, being widowed, or having children) and health status related variables (e.g., poor health, institutionalization, and having a primary care provider) were associated with greater likelihood of having an AD. CONCLUSIONS: Published rates of AD completion vary widely among patients presenting to U.S. EDs. Patient sociodemographic and health status factors are associated with increased rates of AD completion, though rates are low for all populations.