Faculty Bibliography

Introduction/UNASSIGNED:Given mounting calls to disclose biomarker test results to research participants, we explored factors underlying decisions by patients with mild cognitive impairment to receive amyloid imaging results. Methods/UNASSIGNED:Prospective, qualitative interviews were conducted with 59 participants (30 = mild cognitive impairment patients, 29 = care partners) from the scan arm of a randomized controlled trial on the effects of amyloid PET results disclosure in an Alzheimer Disease Research Center setting. Results/UNASSIGNED:Sixty-three percent of the participants were female, with an average age of 72.9 years, and most had greater than a high school level of education (80%). Primary motivations included: (1) better understanding one's mild cognitive impairment etiology and prognosis to plan ahead, and (2) learning one's brain amyloid status for knowledge's sake, regardless of whether the information is actionable. Most participants demonstrated an adequate understanding of the scan's limitations, yet instances of characterizing amyloid PET as a definitive test for Alzheimer's disease occurred. Mention of potential drawbacks, such as negative psychological outcomes, was minimal, even among care partners. Discussion/UNASSIGNED:Findings demonstrate a risk of disproportionate focus on possible benefits of testing among amyloid scan candidates and suggest a need to clearly emphasize the limitations of amyloid PET when counseling cognitively impaired patients and their families before testing. Future research should examine whether minimizing drawbacks at the pre-imaging stage has adverse consequences on results disclosure.

OBJECTIVES/OBJECTIVE:To determine the effect of integrating informal caregivers into discharge planning on postdischarge cost and resource use in older adults. DESIGN/METHODS:A systematic review and metaanalysis of randomized controlled trials that examine the effect of discharge planning with caregiver integration begun before discharge on healthcare cost and resource use outcomes. MEDLINE, EMBASE, and the Cochrane Library databases were searched for all English-language articles published between 1990 and April 2016. SETTING/METHODS:Hospital or skilled nursing facility. PARTICIPANTS/METHODS:Older adults with informal caregivers discharged to a community setting. MEASUREMENTS/METHODS:Readmission rates, length of and time to post-discharge rehospitalizations, costs of postdischarge care. RESULTS:Of 10,715 abstracts identified, 15 studies met the inclusion criteria. Eleven studies provided sufficient detail to calculate readmission rates for treatment and control participants. Discharge planning interventions with caregiver integration were associated with a 25% fewer readmissions at 90 days (relative risk (RR) = 0.75, 95% confidence interval (CI) = 0.62-0.91) and 24% fewer readmissions at 180 days (RR = 0.76, 95% CI = 0.64-0.90). The majority of studies reported statistically significant shorter time to readmission, shorter rehospitalization, and lower costs of postdischarge care among discharge planning interventions with caregiver integration. CONCLUSION/CONCLUSIONS:For older adults discharged to a community setting, the integration of caregivers into the discharge planning process reduces the risk of hospital readmission.

Persons receiving treatment for weight loss often demonstrate heterogeneity in lifestyle behaviors and health outcomes over time. Traditional repeated measures approaches focus on the estimation and testing of an average temporal pattern, ignoring the interindividual variability about the trajectory. An alternate person-centered approach, group-based trajectory modeling, can be used to identify distinct latent classes of individuals following similar trajectories of behavior or outcome change as a function of age or time and can be expanded to include time-invariant and time-dependent covariates and outcomes. Another latent class method, growth mixture modeling, builds on group-based trajectory modeling to investigate heterogeneity within the distinct trajectory classes. In this applied methodologic study, group-based trajectory modeling for analyzing changes in behaviors or outcomes is described and contrasted with growth mixture modeling. An illustration of group-based trajectory modeling is provided using calorie intake data from a single-group, single-center prospective study for weight loss in adults who are either overweight or obese.

Self-monitoring of lung function, vital signs, and symptoms is crucial for lung transplant recipients (LTRs) to ensure early detection of complications and prompt intervention. This study sought to identify patterns and correlates of adherence to self-monitoring among LTRs over the first 12 months post-discharge from transplant. This study analyzed existing data from the usual care arm participants of a randomized clinical trial who tracked self-monitoring activities using paper-and-pencil logs. Adherence was calculated as the percent of days LTRs recorded any self-monitoring data per interval: hospital discharge-2 months, 3-6 months, and 7-12 months. The sample (N=91) was mostly white (87.9%), male (61.5%), with a mean age of 57.2±13.8 years. Group-based trajectory analyses revealed two groups: (i) moderately adherent with slow decline (n=29, 31.9%) and (ii) persistently nonadherent (n=62, 68.1%). Multivariate binary logistic regression revealed the following baseline factors increased the risk in the persistently nonadherent group: female (P=.035), higher anxiety (P=.008), and weaker sense of personal control over health (P=.005). Poorer physical health over 12 months were associated with increased risk in the persistently nonadherent group (P=.004). This study highlighted several modifiable factors for future interventions to target, including reducing post-transplant anxiety, and strengthening sense of personal control over health in LTRs.

This study reports on the first systematic review focused on lung transplant recipients (LTRs) and provides evidence regarding 1) prevalence of nonadherence to the post-transplant medical regimen; 2) risk factors for nonadherence; 3) impact of adherence-promoting interventions; and 4) transplant-related clinical outcomes of nonadherence in LTRs. Following the PRISMA guidelines, a literature search of 5 databases was conducted, yielding 30 relevant articles. Findings suggested that nonadherence rates varied greatly across regimen components and were not consistently associated with any single risk factor. Effect sizes in terms of correlation coefficients for adherence-promoting interventions ranged from .05 to .45. Mortality rates did not significantly differ by adherence levels. Major limitations across studies were weak methodologies for measuring nonadherence and small sample sizes. This review underscores the need for more rigorous and extensive studies of risk factors and clinical outcomes of nonadherence and for large-scaled theory-based trials to examine adherence-promoting interventions in LTRs.

RATIONALE: Overall validity of existing genetic biomarkers in the diagnosis of obstructive sleep apnea (OSA) remains unclear. The objective of this systematic genetic study is to identify "novel" biomarkers for OSA using systems biology approach. METHODS: Candidate genes for OSA were extracted from PubMed, MEDLINE, and Embase search engines and DisGeNET database. The gene ontology (GO) analyses and candidate genes prioritization were performed using Enrichr tool. Genes pertaining to the top 10 pathways were extracted and used for Ingenuity Pathway Analysis. RESULTS: In total, we have identified 153 genes. The top 10 pathways associated with OSA include (i) serotonin receptor interaction, (ii) pathways in cancer, (iii) AGE-RAGE signaling in diabetes, (iv) infectious diseases, (v) serotonergic synapse, (vi) inflammatory bowel disease, (vii) HIF-1 signaling pathway, (viii) PI3-AKT signaling pathway, (ix) regulation lipolysis in adipocytes, and (x) rheumatoid arthritis. After removing the overlapping genes, we have identified 23 candidate genes, out of which >30% of the genes were related to the genes involved in the serotonin pathway. Among these 4 serotonin receptors SLC6A4, HTR2C, HTR2A, and HTR1B were strongly associated with OSA. CONCLUSIONS: This preliminary report identifies several potential candidate genes associated with OSA and also describes the possible regulatory mechanisms.

The increased use of PET amyloid imaging in clinical research has sparked numerous concerns about whether and how to return such research test results to study participants. Chief among these is the question of how best to disclose amyloid imaging research results to individuals who have cognitive symptoms that could impede comprehension of the information conveyed. We systematically developed and evaluated informational materials for use in pre-test counseling and post-test disclosures of amyloid imaging research results in mild cognitive impairment (MCI). Using simulated sessions, persons with MCI and their family care partners (N = 10 dyads) received fictitious but realistic information regarding brain amyloid status, followed by an explanation of how results impact Alzheimer's disease risk. Satisfaction surveys, comprehension assessments, and focus group data were analyzed to evaluate the materials developed. The majority of persons with MCI and their care partners comprehended and were highly satisfied with the information presented. Focus group data reinforced findings of high satisfaction and included 6 recommendations for practice: 1) offer pre-test counseling, 2) use clear graphics, 3) review participants' own brain images during disclosures, 4) offer take-home materials, 5) call participants post-disclosure to address emerging questions, and 6) communicate seamlessly with primary care providers. Further analysis of focus group data revealed that participants understood the limitations of amyloid imaging, but nevertheless viewed the prospect of learning one's amyloid status as valuable and empowering.