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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]

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]

The objective of this study was to examine the prevalence and consequences of coexisting vision and cognitive impairments in an Asian population. Data were collected from 4508 community-dwelling Singaporeans aged 60 years and older. Cognition was assessed by the Short Portable Mental Status Questionnaire whereas vision, disability, and self-rated health (SRH) were determined by self-report. Vision impairment was present in 902 (18.5%) participants and cognitive impairment in 835 (13.6%), with 232 (3.5%) participants experiencing both impairments. Persons with the comorbidity experienced higher odds of disability than persons with either single impairment. The association of vision impairment with SRH was stronger among women (odds ratio [OR] = 6.79, 95% confidence interval [CI] = 4.64-9.92) than among men (OR = 1.71, 95% CI = 1.21-2.41). Concurrent cognitive and vision impairment is prevalent in older Singaporeans and is associated with high rates of disability. Gender differences in vision-dependent roles may affect the patient-perceived impact of this comorbidity. [ABSTRACT FROM PUBLISHER]

Objectives To determine whether readily collected perioperative information might identify older surgical patients at higher risk of complications. Design Retrospective cohort study. Setting Medical chart review at a single academic institution. Participants One hundred two individuals aged 65 and older who underwent abdominal surgery between January 2007 and December 2009. Measurements Primary predictor variables were first postoperative Braden Scale score (within 24 hours of surgery) and a Deficit Accumulation Index ( DAI) constructed based on 39 available preoperative variables. The primary outcome was presence or absence of complication within 30 days of surgery. Results Of 102 patients, 64 experienced at least one complication, with wound infection being the most common. In models adjusted for age, race, sex, and open versus laparoscopic surgery, lower Braden Scale scores were predictive of 30-day postoperative complication (odds ratio ( OR) = 1.30, 95% confidence interval ( CI) = 1.06-1.60), longer length of stay (β = 1.44 (0.25) days; P ≤ .001), and discharge to an institution rather than home ( OR = 1.23, 95% CI = 1.02-1.48). The cut-off value for the Braden score with the highest predictive value for complication was ≤ 18 ( OR = 3.63, 95% CI = 1.43-9.19; c statistic 0.744). The DAI and several traditional surgical risk factors were not significantly associated with 30-day postoperative complications. Conclusion This is the first study to identify the perioperative Braden Scale score, a widely used risk-stratifier for pressure ulcers, as an independent predictor of other adverse outcomes in geriatric surgical patients. Further studies are needed to confirm this finding and to investigate other uses for this tool, which correlates well to phenotypic models of frailty. [ABSTRACT FROM AUTHOR]