Frailty and the Burden of Concurrent and Incident Disability in Patients With Cirrhosis: A Prospective Cohort Study.

Frailty results from the chronic effects of malnutrition and muscle wasting in patients with cirrhosis. It is well-established that frailty is strongly associated with mortality in this population. However, little is known of its relationship with physical disability, a critical patient-centered outcome. Adults with cirrhosis underwent outpatient testing of frailty using the Liver Frailty Index (LFI) and disability using activities of daily living (ADL; range 0-6) and Instrumental ADL (IADL; range 0-8) scales at one center between 2012 and 2016. We used adjusted multilevel logistic mixed-effects regression to test the association between frailty and current disability (impairment with ≥1 ADL or IADL) and incident disability at 6 months among those without baseline disability. Of the 983 participants, 20% were robust, 32% were less robust, 33% were prefrail, and 15% were frail; 587 (60%) had at least 1 assessment. The percentage of participants with at least 1 baseline ADL or IADL impairment was 28% and 37%, respectively. In adjusted regression models, each point LFI increase was associated with a 3.3 and 4.6 higher odds of current difficulty with at least 1 ADL and IADL (P < 0.001 for each), respectively. Among participants without baseline disability, each point LFI increase was associated with a 2.6 and 1.7 higher odds of having difficulty with at least 1 ADL and IADL at 6 months, respectively. Conclusion: Frailty is strongly associated with concurrent and incident disability in patients with cirrhosis. In the clinic, the LFI can be used to identify those in greatest need for additional support/resources to maintain functional independence. In research settings, the LFI may help to identify an enriched population for clinical trials of interventions aimed at those most vulnerable to disability

Patient-reported measures of well-being in older multiple myeloma patients: use of secondary data source

Background!#!Changes in well-being of patients with multiple myeloma (MM) before and after diagnosis have not been quantified.!##!Aims!#!Explore the use of secondary data to examine the changes in the well-being of older patients with MM.!##!Methods!#!We used the Health and Retirement Study (HRS), linked to Medicare claims to identify older MM patients. We compared patient-reported measures (PRM), including physical impairment, sensory impairment, and patient experience (significant pain, self-rated health, depression) in the interviews before and after MM diagnosis using McNemar's test. We propensity-matched each MM patient to five HRS participants without MM diagnosis based on baseline characteristics. We compared the change in PRM between the MM patients and their matches.!##!Results!#!We identified 92 HRS patients with MM diagnosis (mean age = 74.6, SD = 8.4). Among the surviving patients, there was a decline in well-being across most measures, including ADL difficulty (23% to 40%, p value = 0.016), poor or fair self-rated health (38% to 61%, p value = 0.004), and depression (15% to 30%, p value = 0.021). Surviving patients reported worse health than participants without MM across most measures, including ADL difficulty (40% vs. 27%, p value = 0.04), significant pain (38% vs. 22%, p value = 0.01), and depression (29% vs. 11%, p value = 0.003).!##!Discussion!#!Secondary data were used to identify patients with MM diagnosis, and examine changes across multiple measures of well-being. MM diagnosis negatively affects several aspects of patients' well-being, and these declines are larger than those experienced by similar participants without MM.!##!Conclusion!#!The results of this study are valuable addition to understanding the experience of patients with MM, despite several data limitations

Leveraging the Health and Retirement Study To Advance Palliative Care Research

Background: The critical need to expand and develop the palliative care evidence base was recently highlighted by the Journal of Palliative Medicine's series of articles describing the Research Priorities in Geriatric Palliative Care. The Health and Retirement Study (HRS) is uniquely positioned to address many priority areas of palliative care research. This nationally representative, ongoing, longitudinal study collects detailed survey data every 2 years, including demographics, health and functional characteristics, information on family and caregivers, and personal finances, and also conducts a proxy interview after each subject's death. The HRS can also be linked with Medicare claims data and many other data sources, e.g., U.S. Census, Dartmouth Atlas of Health Care. Setting: While the HRS offers innumerable research opportunities, these data are complex and limitations do exist. Therefore, we assembled an interdisciplinary group of investigators using the HRS for palliative care research to identify the key palliative care research gaps that may be amenable to study within the HRS and the strengths and weaknesses of the HRS for each of these topic areas. Conclusion: In this article we present the work of this group as a potential roadmap for investigators contemplating the use of HRS data for palliative care research.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/140117/1/jpm.2013.0648.pd

Conducting High-Value Secondary Dataset Analysis: An Introductory Guide and Resources

Secondary analyses of large datasets provide a mechanism for researchers to address high impact questions that would otherwise be prohibitively expensive and time-consuming to study. This paper presents a guide to assist investigators interested in conducting secondary data analysis, including advice on the process of successful secondary data analysis as well as a brief summary of high-value datasets and online resources for researchers, including the SGIM dataset compendium (www.sgim.org/go/datasets). The same basic research principles that apply to primary data analysis apply to secondary data analysis, including the development of a clear and clinically relevant research question, study sample, appropriate measures, and a thoughtful analytic approach. A real-world case description illustrates key steps: (1) define your research topic and question; (2) select a dataset; (3) get to know your dataset; and (4) structure your analysis and presentation of findings in a way that is clinically meaningful. Secondary dataset analysis is a well-established methodology. Secondary analysis is particularly valuable for junior investigators, who have limited time and resources to demonstrate expertise and productivity

Studies on the effect of chemical modifications of apolipoprotein A-I on lecithin cholesterol acyl transferase activity and complex properties

Thesis (B.S.) in Liberal Arts and Sciences--University of Illinois at Urbana-Champaign, 1984.Bibliography: leaves 42-44.Microfiche of typescript. [Urbana, Ill.] : Photographic Services, University of Illinois, U of I Library, [1987]. 2 microfiches (53 frames) negative ; 11 x 15 cm

Studies on the effect of chemical modifications of apolipoprotein A-I on lecithin cholesterol acyl transferase activity and complex properties

Thesis (B.S.) in Liberal Arts and Sciences--University of Illinois at Urbana-Champaign, 1984.Bibliography: leaves 42-44.Microfiche of typescript. [Urbana, Ill.] : Photographic Services, University of Illinois, U of I Library, [1987]. 2 microfiches (53 frames) negative ; 11 x 15 cm

Return to community living and mortality after moving to a long‐term care facility: A nationally representative cohort study

BackgroundRecent long-term care facility (LTCF) policy has focused on transitioning nursing home (NH) residents back to community settings, yet we lack recent descriptions of this phenomenon and how it compares in assisted living (AL).MethodsUsing the National Health and Aging Trends Study, we studied adults over age 65 who had moved from community living into an LTCF between 2011 and 2018. Persons or their proxies reported residence in annual interviews. NH was defined by facility staff. ALs were multi-unit buildings helping with activities of daily living. We excluded temporary short-stay NH patients and independent AL residents. Our primary outcome was cumulative incidence of return to community living, with death as co-primary outcome and modeled as a competing risk, stratified by NH versus AL entry. We identified covariates (age, gender, race/ethnicity, dementia, activity limitations, and prior living arrangement) associated with return to community living through bivariate and multivariable logistic regression.ResultsAmong 739 participants, weighted mean age was 84 years (SD 7.5), 66% were women, 13% were non-White, 57% had dementia, and 41% entered NH. At 1, 2, and 4 years, the cumulative incidence of return to community living was 2.9% (95% CIs: 1.9%-4.3%), 6.4% (4.7%-8.4%), and 7.4% (5.5%-9.8%); the cumulative incidence of death was 28% (95% CIs: 24%-31%), 44% (40%-48%) and 66% (61%-70%). Outcomes were similar in persons entering NH versus AL. Older persons (aOR 0.88, 95% CI 0.83-0.94), those with dementia (aOR 0.33, 95% CI 0.12-0.88), and those previously living alone (aOR 0.39, 95% CI 0.17-0.89) were less likely to return.ConclusionsFew returned to community living after entering either NH or AL. Mortality was similar. Results highlight limits in transitioning persons out of LTCFs and the need to observe AL use to ensure policies do not merely displace persons between institutional care sectors