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The objectives of this article are to introduce a conceptual framework for physical resilience in the context of ageing and to discuss key elements and challenges in the design of studies of physical resilience after health stressors. Advancing age is associated with increasing exposure to multiple stressors and declining capacity to respond to health stressors. Resilience is defined broadly as the ability to resist or recover well from the adverse effects of a health stressor. In ageing‐related study designs of physical resilience after a health stressor, this dynamic resilience response can be observed as changes in repeated measures of function or health status in various domains important to older adults. Methodologic issues in selecting the study population, defining the stressor, covariates, outcomes, and analytic strategies are highlighted in the context of an ongoing prospective cohort study of physical resilience after total knee replacement surgery. The article concludes with approaches to intervention development to optimize resilience. [ABSTRACT FROM AUTHOR]

Older patients presenting with acute myocardial infarction (AMI) often have comorbidities. Our objective was to examine how outcomes differ by cognitive and vision status in older AMI patients. We use data from a prospective cohort study conducted at 94 hospitals in the United States between January 2013 and October 2016 that enrolled men and women aged ≥75 years with AMI. Cognitive impairment (CI) was defined as telephone interview for cognitive status (TICS) score <27; vision impairment (VI) and activities of daily living (ADLs) were assessed by questionnaire. Of 2988 senior AMI patients, 260 (8.7%) had CI but no VI, 858 (28.7%) had VI but no CI, and 251 (8.4%) had both CI/VI. Patients in the VI/CI group were most likely to exhibit geriatric syndromes. More severe VI was associated with lower (worse) scores on the TICS (β −1.53, 95% confidence interval (CI) −1.87 to −1.18). In adjusted models, compared to participants with neither impairment, participants with VI/CI were more likely to die (hazard ratio 1.61, 95% CI 1.10–2.37) and experience ADL decline (odds ratio 2.11, 95% CI 1.39–3.21) at 180 days. Comorbid CIs and VIs were associated with high rates of death and worsening disability after discharge among seniors hospitalized for AMI. Future research should evaluate protocols to accommodate these impairments during AMI presentations and optimize decision-making and outcomes. [ABSTRACT FROM AUTHOR]

OBJECTIVES: Defining common patterns of recovery after an acute health stressor (resiliency groups) has both clinical and research implications. We sought to identify groups of patients with similar recovery patterns across 10 outcomes following hip fracture (stressor) and to determine the most important predictors of resiliency group membership. DESIGN: Secondary analysis of three prospective cohort studies. SETTING: Participants were recruited from various hospitals in the Baltimore Hip Studies network and followed for up to 1 year in their residence (home or facility). PARTICIPANTS: Community‐dwelling adults aged 65 years or older with recent surgical repair of a hip fracture (n = 541). MEASUREMENTS: Self‐reported physical function and activity measures using validated scales were collected at baseline (within 15‐22 d of fracture), 2, 6, and 12 months. Physical performance tests were administered at all follow‐up visits. Stressor characteristics, comorbidities, and psychosocial and environmental factors were collected at baseline via participant report and chart abstraction. Latent class profile analysis was used to identify resiliency groups based on recovery trajectories across 10 outcome measures and logistic regression models to identify factors associated with those groups. RESULTS: Latent profile analysis identified three resiliency groups that had similar patterns across the 10 outcome measures and were defined as "high resilience" (n = 163 [30.1%]), "medium resilience" (n = 242 [44.7%]), and "low resilience" (n = 136 [25.2%]). Recovery trajectories for the outcome measures are presented for each resiliency group. Comparing highest with the medium‐ and low‐resilience groups, self‐reported pre‐fracture function was by far the strongest predictor of high‐resilience group membership with area under the curve (AUC) of.84. Demographic factors, comorbidities, stressor characteristics, environmental factors, and psychosocial characteristics were less predictive, but several factors remained significant in a multivariable model (AUC =.88). CONCLUSION: These three resiliency groups following hip fracture may be useful for understanding mediators of physical resilience. They may provide a more detailed description of recovery patterns in multiple outcomes for use in clinical decision making. J Am Geriatr Soc 67:2519–2527, 2019 [ABSTRACT FROM AUTHOR]

Objectives To prioritize research topics relevant to the care of the growing population of older adults with multiple chronic conditions ( MCCs). Design Survey of experts in MCC practice, research, and policy. Topics were derived from white papers, funding announcements, or funded research projects relating to older adults with MCCs. Setting Survey conducted through the Health Care Systems Research Network ( HCSRN) and Claude D. Pepper Older Americans Independence Centers ( OAICs) Advancing Geriatrics Infrastructure and Network Growth Initiative, a joint endeavor of the HCSRN and OAICs. Participants Individuals affiliated with the HCSRN or OAICs and national MCC experts, including individuals affiliated with funding agencies having MCC-related grant portfolios. Measurements A 'top box' methodology was used, counting the number of respondents selecting the top response on a 5-point Likert scale and dividing by the total number of responses to calculate a top box percentage for each of 37 topics. Results The highest-ranked research topics relevant to the health and healthcare of older adults with MCCs were health-related quality of life in older adults with MCCs; development of assessment tools (to assess, e.g., symptom burden, quality of life, function); interactions between medications, disease processes, and health outcomes; disability; implementation of novel (and scalable) models of care; association between clusters of chronic conditions and clinical, financial, and social outcomes; role of caregivers; symptom burden; shared decision-making to enhance care planning; and tools to improve clinical decision-making. Conclusion Study findings serve to inform the development of a comprehensive research agenda to address the challenges relating to the care of this 'high-need, high-cost' population and the healthcare delivery systems responsible for serving it. [ABSTRACT FROM AUTHOR]

Introduction: Frailty, a clinical syndrome of decreased physiologic reserve and dysregulation in multiple physiologic systems, is associated with increased risk for adverse outcomes. Purpose: The aim of this retrospective, cross-sectional, correlational study was to characterize frailty in older adults admitted to a tertiary-care hospital using a biopsychosocial frailty assessment and to determine associations between frailty and time to in-hospital mortality and 30-day rehospitalization. Methods: The sample included 278 patients ≥55 years old admitted to medicine units. Frailty was determined using clinical data from the electronic health record (EHR) for symptoms, syndromes, and conditions and laboratory data for four serum biomarkers. A frailty risk score (FRS) was created from 16 risk factors, and relationships between the FRS and outcomes were examined. Results: The mean age of the sample was 70.2 years and mean FRS was 9.4 (SD, 2.2). Increased FRS was significantly associated with increased risk of death (hazard ratio = 1.77−2.27 for 3 days ≤ length of stay (LOS) ≤7 days), but depended upon LOS (p < .001). Frailty was marginally associated with rehospitalization for those who did not die in hospital (adjusted odds ratio = 1.18, p = .086, area under the curve [AUC] = 0.66, 95% confidence interval for AUC = [0.57, 0.76]). Discussion: Clinical data in the EHR can be used for frailty assessment. Informatics may facilitate data aggregation and decision support. Because frailty is potentially preventable and treatable, early detection is crucial to delivery of tailored interventions and optimal patient outcomes. [ABSTRACT FROM AUTHOR]

Objectives To define multimorbidity 'classes' empirically based on patterns of disease co-occurrence in older Americans and to examine how class membership predicts healthcare use. Design Retrospective cohort study. Setting Nationally representative sample of Medicare beneficiaries in file years 1999-2007. Participants Individuals aged 65 and older in the Medicare Beneficiary Survey who had data available for at least 1 year after index interview (N = 14,052). Measurements Surveys (self-report) were used to assess chronic conditions, and latent class analysis ( LCA) was used to define multimorbidity classes based on the presence or absence of 13 conditions. All participants were assigned to a best-fit class. Primary outcomes were hospitalizations and emergency department visits over 1 year. Results The primary LCA identified six classes. The largest portion of participants (32.7%) was assigned to the minimal disease class, in which most persons had fewer than two of the conditions. The other five classes represented various degrees and patterns of multimorbidity. Usage rates were higher in classes with greater morbidity, but many individuals could not be assigned to a particular class with confidence (sample misclassification error estimate = 0.36). Number of conditions predicted outcomes at least as well as class membership. Conclusion Although recognition of general patterns of disease co-occurrence is useful for policy planning, the heterogeneity of persons with significant multimorbidity (≥3 conditions) defies neat classification. A simple count of conditions may be preferable for predicting usage. [ABSTRACT FROM AUTHOR]

Focus on decline in performance of activities of daily living (ADL) has not been matched by studies of recovery of function. Advised by a broad conceptual model of physical resilience, we ascertain characteristics that identify (1) maintenance, (2) decline, and (3) recovery of personal self-maintenance activities over six years in an older, community representative, African American and white sample. Longitudinal study, analyses included descriptive statistics and repeated measures proportional hazards. Community-representative participants of the Duke Established Populations for Epidemiologic Studies of the Elderly (EPESE), unimpaired at baseline (n = 3187; 46% white, 54% African American; 64% female, 36% male), followed annually for up to 6 years. Data included information on basic activities of daily living (BADL), demographic characteristics, health status, social services provided and received, household size, neighborhood safety, and survival status. Over 6 years, ∼75% remained unimpaired, of whom 30% were unimpaired when they dropped out or died. Of ∼25% who became impaired, just under half recovered. Controlled analyses indicated that those who became impaired were in poorer health, younger, and more likely to be African American. Characteristics of recovery included younger age, not hospitalized in the previous year, and larger household size. Maintenance of health status facilitated continued unimpaired BADL. While decline was associated with poorer health, younger age, and being African American, recovery was also associated with younger age, together with larger household size, and no further deterioration in health as measured here. Maintenance of good health is preferred, but following decline in functioning, increased effort to improve health and avoid further decline, which takes into account not only physical but also personal social conditions, is needed. [ABSTRACT FROM AUTHOR]