Browsing by Subject "Aged"
Now showing 1 - 10 of 33
Results Per Page
Sort Options
Item A Comparative Analysis of Oral Health and Self-Rated Health: ‘All of Us Research Program’ vs. ‘Health and Retirement Study’(MDPI, 2024-09-13) Weintraub, Jane A.; Moss, Kevin L.; Finlayson, Tracy L.; Jones, Judith A.; Preisser, John S.; Biostatistics and Health Data Science, School of MedicinePoor oral health can impact overall health. This study assessed the association between dental factors (dentate status and dental utilization) and self-rated health (S-RH) among older adults in two cross-sectional datasets: (1) NIH "All of Us (AoU) Research Program" (May 2018-July 2022 release) and (2) U.S. nationally representative "Health and Retirement Study" (HRS) 2018 wave. Participants aged ≥ 51 years were included in these analyses if (1) from AoU, they had clinical dental and medical data from electronic health records (EHRs) and surveys (n = 5480), and (2) from HRS, they had dental and socio-demographic survey data (n = 14,358). S-RH was dichotomized (fair/poor vs. better) and analyzed with logistic regression. Sample survey weights for HRS and stratification and averaging AoU results used the weighted HRS race-ethnicity and age distribution standardized respective analyses to the U.S. population. Fair/poor S-RH was reported by 32.6% in AoU and 28.6% in HRS. Dentate status information was available from 7.7% of AoU EHRs. In population-standardized analyses, lack of dental service use increased odds of fair/poor S-RH in AoU, OR (95% CI) = 1.28 (1.11-1.48), and in HRS = 1.45 (1.09-1.94), as did having diabetes, less education, and ever being a smoker. Having no natural teeth was not statistically associated with fair/poor S-RH. Lack of dental service was positively associated with fair/poor S-RH in both datasets. More and better oral health information in AoU and HRS are needed.Item Acute Biventricular Heart Failure After COVID-19 Infection in an Orthotropic Heart Transplant Patient: A Case Report(Elsevier, 2021-05) Berg, Nicholas; Ilonze, Onyedika; Bajpai, Vatsal; Guglin, Maya; Rao, Roopa; Medicine, School of MedicineThe cardiac effects of the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) include myocarditis, takotsubo cardiomyopathy, pericardial effusion, and cardioembolic events in the general population. The effects of SARS-CoV-2 in heart transplant patients are unclear. We describe a case of myocarditis in the transplanted heart that responded to methylprednisolone.Item Assessment of the Protocol-Guided Rapid Evaluation of Veterans Experiencing New Transient Neurological Symptoms (PREVENT) Program for Improving Quality of Care for Transient Ischemic Attack: A Nonrandomized Cluster Trial(American Medical Association, 2020-09-08) Bravata, Dawn M.; Myers, Laura J.; Perkins, Anthony J.; Zhang, Ying; Miech, Edward J.; Rattray, Nicholas A.; Penney, Lauren S.; Levine, Deborah; Sico, Jason J.; Cheng, Eric M.; Damush, Teresa M.; Medicine, School of MedicineImportance Patients with transient ischemic attack (TIA) are at high risk of recurrent vascular events. Timely management can reduce that risk by 70%; however, gaps in TIA quality of care exist. Objective To assess the performance of the Protocol-Guided Rapid Evaluation of Veterans Experiencing New Transient Neurological Symptoms (PREVENT) intervention to improve TIA quality of care. Design, Setting, and Participants This nonrandomized cluster trial with matched controls evaluated a multicomponent intervention to improve TIA quality of care at 6 diverse medical centers in 6 geographically diverse states in the US and assessed change over time in quality of care among 36 matched control sites (6 control sites matched to each PREVENT site on TIA patient volume, facility complexity, and quality of care). The study period (defined as the data period) started on August 21, 2015, and extended to May 12, 2019, including 1-year baseline and active implementation periods for each site. The intervention targeted clinical teams caring for patients with TIA. Intervention The quality improvement (QI) intervention included the following 5 components: clinical programs, data feedback, professional education, electronic health record tools, and QI support. Main Outcomes and Measures The primary outcome was the without-fail rate, which was calculated as the proportion of veterans with TIA at a specific facility who received all 7 guideline-recommended processes of care for which they were eligible (ie, anticoagulation for atrial fibrillation, antithrombotic use, brain imaging, carotid artery imaging, high- or moderate-potency statin therapy, hypertension control, and neurological consultation). Generalized mixed-effects models with multilevel hierarchical random effects were constructed to evaluate the intervention associations with the change in the mean without-fail rate from the 1-year baseline period to the 1-year intervention period. Results Six facilities implemented the PREVENT QI intervention, and 36 facilities were identified as matched control sites. The mean (SD) age of patients at baseline was 69.85 (11.19) years at PREVENT sites and 71.66 (11.29) years at matched control sites. Most patients were male (95.1% [154 of 162] at PREVENT sites and 94.6% [920 of 973] at matched control sites at baseline). Among the PREVENT sites, the mean without-fail rate improved substantially from 36.7% (58 of 158 patients) at baseline to 54.0% (95 of 176 patients) during a 1-year implementation period (adjusted odds ratio, 2.10; 95% CI, 1.27-3.48; P = .004). Comparing the change in quality at the PREVENT sites with the matched control sites, the improvement in the mean without-fail rate was greater at the PREVENT sites than at the matched control sites (36.7% [58 of 158 patients] to 54.0% [95 of 176 patients] [17.3% absolute improvement] vs 38.6% [345 of 893 patients] to 41.8% [363 of 869 patients] [3.2% absolute improvement], respectively; absolute difference, 14%; P = .008). Conclusions and Relevance The implementation of this multifaceted program was associated with improved TIA quality of care across the participating sites. The PREVENT QI program is an example of a health care system using QI strategies to improve performance, and may serve as a model for other health systems seeking to provide better care. Trial Registration ClinicalTrials.gov Identifier: NCT02769338 Go to: Introduction Approximately 8500 veterans with transient ischemic attack (TIA) or ischemic stroke are cared for in Department of Veterans Affairs (VA) emergency departments (EDs) or inpatient wards annually in the United States.1 Patients with TIA generally present with transient neurological symptoms of a presumed ischemic cause.2 Patients with TIA are at a high risk of recurrent vascular events3,4,5; however, delivery of timely TIA care can reduce that risk by up to 70%.6,7,8,9 Despite the known benefits of timely TIA care, gaps in TIA quality of care exist in both private-sector US hospitals10 and VA facilities.11,12 In a learning health care system, “clinical informatics, incentives, and culture are aligned to promote continuous improvement and innovation, with best practices seamlessly embedded in the delivery process and new knowledge captured as an integral by-product of the delivery experience.”13(p136) Within a learning health care system, health care teams respond to quality problems by using quality improvement (QI) strategies and systems redesign approaches to improve performance, depending on the complexity and scope of the problem.14 The objective of the Protocol-Guided Rapid Evaluation of Veterans Experiencing New Transient Neurological Symptoms (PREVENT) trial was to evaluate a multicomponent QI intervention to improve the quality of TIA care.15 The PREVENT intervention was designed to align with the learning health care system model.13,15Item Association of Insurance Expansion With Surgical Management of Thyroid Cancer(American Medical Association, 2017-08-01) Loehrer, Andrew P.; Murthy, Shilpa S.; Song, Zirui; Lubitz, Carrie C.; James, Benjamin C.; Surgery, School of MedicineImportance: To our knowledge, thyroid cancer incidence is increasing faster than any other cancer type and is currently the fifth most common cancer among women. While this rise is likely multifactorial, there has been scarce consideration of the effect of insurance statuses on the treatment of thyroid cancer. Objective: We evaluate the association of insurance expansion with thyroid cancer treatment using the 2006 Massachusetts health reform, which serves as a unique natural experiment. Design, Setting, and Participants: We used the Agency for Healthcare Research and Quality State Inpatient Databases to identify patients with government-subsidized or self-pay insurance or private insurance who were admitted to a hospital with thyroid cancer and underwent a thyroidectomy between 2001 and 2011 in Massachusetts (n = 8534) and 3 control states (n = 48 047). Difference-in-differences models were used to evaluate an association between the 2006 Massachusetts health care reform and thyroid cancer treatment, and participants were controlled for age, sex, comorbidities, and secular trends. Main Outcomes and Measures: Change in the thyroidectomy rate for thyroid cancer treatment was the primary outcome evaluated. Results: The Massachusetts cohort consisted of 6443 women (75.5%) and 2091 men (24.5%), of whom 6388 (79.6%) were white, 391 (4.9%) were black, 527 (6.6%) were Hispanic, 424 (5.3%) were Asian/Pacific Islander, 63 (0.8%) were Native American, and 228 (2.8%) were other. The participants from control states included 36 818 women (76.6%) and 11 229 men (23.4%), of whom 30 432 (65.5%) were white, 3818 (8.2%) were black, 6462 (13.9%) were Hispanic, 2591 (5.6%) were Asian/Pacific Islander, 211 (0.5%) were Native American, and 2947 (6.3%) were other. Before the 2006 Massachusetts insurance expansion, patients with government-subsidized or self-pay insurance had lower thyroidectomy rates for thyroid cancer in Massachusetts and the control states compared with patients with private insurance. The Massachusetts insurance expansion was associated with a 26% increased rate of undergoing a thyroidectomy (incident rate ratio, 1.26; 95% CI, 1.04-1.52; P = .02) and a 22% increased rate of neck dissection (incident rate ratio, 1.22; 95% CI, 1.07-1.37; P = .002) for treating cancer compared with control states. Conclusions and Relevance: The 2006 Massachusetts health reform, which is a model for the Affordable Care Act, was associated with a 26% increased rate of thyroidectomy for treating thyroid cancer. Our study suggests that insurance expansion may be associated with increased access to the surgical management of thyroid cancer. Further studies need to be conducted to evaluate the effect of healthcare expansion at a national level.Item Associations of Muscle Mass and Strength with All-Cause Mortality among US Older Adults(Lippincott, Williams & Wilkins, 2018-03) Li, Ran; Xia, Jin; Zhang, Xi; Gathirua-Mwangi, Wambui Grace; Guo, Jianjun; Li, Yufeng; McKenzie, Steve; Song, Yiqing; Epidemiology, School of Public HealthINTRODUCTION: Recent studies suggested that muscle mass and muscle strength may independently or synergistically affect aging-related health outcomes in older adults; however, prospective data on mortality in the general population are sparse. METHODS: We aimed to prospectively examine individual and joint associations of low muscle mass and low muscle strength with all-cause mortality in a nationally representative sample. This study included 4449 participants age 50 yr and older from the National Health and Nutrition Examination Survey 1999 to 2002 with public use 2011 linked mortality files. Weighted multivariable logistic regression models were adjusted for age, sex, race, body mass index (BMI), smoking, alcohol use, education, leisure time physical activity, sedentary time, and comorbid diseases. RESULTS: Overall, the prevalence of low muscle mass was 23.1% defined by appendicular lean mass (ALM) and 17.0% defined by ALM/BMI, and the prevalence of low muscle strength was 19.4%. In the joint analyses, all-cause mortality was significantly higher among individuals with low muscle strength, whether they had low muscle mass (odds ratio [OR], 2.03; 95% confidence interval [CI], 1.27-3.24 for ALM; OR, 2.53; 95% CI, 1.64-3.88 for ALM/BMI) or not (OR, 2.66; 95% CI, 1.53-4.62 for ALM; OR, 2.17; 95% CI, 1.29-3.64 for ALM/BMI). In addition, the significant associations between low muscle strength and all-cause mortality persisted across different levels of metabolic syndrome, sedentary time, and LTPA. CONCLUSIONS: Low muscle strength was independently associated with elevated risk of all-cause mortality, regardless of muscle mass, metabolic syndrome, sedentary time, or LTPA among US older adults, indicating the importance of muscle strength in predicting aging-related health outcomes in older adults.Item Associations of Sex, Race, and Apolipoprotein E Alleles With Multiple Domains of Cognition Among Older Adults(American Medical Association, 2023) Walters, Skylar; Contreras, Alex G.; Eissman, Jaclyn M.; Mukherjee, Shubhabrata; Lee, Michael L.; Choi, Seo-Eun; Scollard, Phoebe; Trittschuh, Emily H.; Mez, Jesse B.; Bush, William S.; Kunkle, Brian W.; Naj, Adam C.; Peterson, Amalia; Gifford, Katherine A.; Cuccaro, Michael L.; Cruchaga, Carlos; Pericak-Vance, Margaret A.; Farrer, Lindsay A.; Wang, Li-San; Haines, Jonathan L.; Jefferson, Angela L.; Kukull, Walter A.; Keene, C. Dirk; Saykin, Andrew J.; Thompson, Paul M.; Martin, Eden R.; Bennett, David A.; Barnes, Lisa L.; Schneider, Julie A.; Crane, Paul K.; Hohman, Timothy J.; Dumitrescu, Logan; Alzheimer’s Disease Neuroimaging Initiative; Alzheimer’s Disease Genetics Consortium; Alzheimer’s Disease Sequencing Project; Radiology and Imaging Sciences, School of MedicineImportance: Sex differences are established in associations between apolipoprotein E (APOE) ε4 and cognitive impairment in Alzheimer disease (AD). However, it is unclear whether sex-specific cognitive consequences of APOE are consistent across races and extend to the APOE ε2 allele. Objective: To investigate whether sex and race modify APOE ε4 and ε2 associations with cognition. Design, setting, and participants: This genetic association study included longitudinal cognitive data from 4 AD and cognitive aging cohorts. Participants were older than 60 years and self-identified as non-Hispanic White or non-Hispanic Black (hereafter, White and Black). Data were previously collected across multiple US locations from 1994 to 2018. Secondary analyses began December 2021 and ended September 2022. Main outcomes and measures: Harmonized composite scores for memory, executive function, and language were generated using psychometric approaches. Linear regression assessed interactions between APOE ε4 or APOE ε2 and sex on baseline cognitive scores, while linear mixed-effect models assessed interactions on cognitive trajectories. The intersectional effect of race was modeled using an APOE × sex × race interaction term, assessing whether APOE × sex interactions differed by race. Models were adjusted for age at baseline and corrected for multiple comparisons. Results: Of 32 427 participants who met inclusion criteria, there were 19 007 females (59%), 4453 Black individuals (14%), and 27 974 White individuals (86%); the mean (SD) age at baseline was 74 years (7.9). At baseline, 6048 individuals (19%) had AD, 4398 (14%) were APOE ε2 carriers, and 12 538 (38%) were APOE ε4 carriers. Participants missing APOE status were excluded (n = 9266). For APOE ε4, a robust sex interaction was observed on baseline memory (β = -0.071, SE = 0.014; P = 9.6 × 10-7), whereby the APOE ε4 negative effect was stronger in females compared with males and did not significantly differ among races. Contrastingly, despite the large sample size, no APOE ε2 × sex interactions on cognition were observed among all participants. When testing for intersectional effects of sex, APOE ε2, and race, an interaction was revealed on baseline executive function among individuals who were cognitively unimpaired (β = -0.165, SE = 0.066; P = .01), whereby the APOE ε2 protective effect was female-specific among White individuals but male-specific among Black individuals. Conclusions and relevance: In this study, while race did not modify sex differences in APOE ε4, the APOE ε2 protective effect could vary by race and sex. Although female sex enhanced ε4-associated risk, there was no comparable sex difference in ε2, suggesting biological pathways underlying ε4-associated risk are distinct from ε2 and likely intersect with age-related changes in sex biology.Item Caregiver-Based Interventions to Optimize Medication Safety in Vulnerable Elderly Adults: A Systematic Evidence-Based Review(Wiley, 2018-11) Wagle, Kamal C.; Skopelja, Elaine N.; Campbell, Noll L.; Medicine, School of MedicineOBJECTIVES: To study the effect of caregiver-focused interventions to support medication safety in older adults with chronic disease. DESIGN: Systematic review. SETTING: Studies published before January 31, 2017, searched using Ovid Medline, PubMed, EMBASE, Scopus, CINAHL, PsycINFO, and Google Scholar. PARTICIPANTS: Caregivers with or without a care recipient. MEASUREMENTS: Inclusion criteria: interventions focused on caregivers aiming to improve medication safety. Studies not focusing on older adults, not evaluating medication safety, failing to include caregivers, or without a comparison group were excluded. RESULTS: The initial search revealed 1,311 titles. Eight studies met inclusion criteria. The strategies used in randomized trials were a home-based medication review and adherence assessment by a clinical pharmacist (2 home visits 6-8 weeks apart, with pharmacist and physician meeting independently) that found no difference in nonelective hospital admissions (p=.8) but fewer medications (p=.03); a 19-minute educational DVD and an hour-long medication education and training that improved caregiver satisfaction (p<.04); a medication education and adherence intervention (2-3 home visits per care recipient and caregiver dyad over 8 weeks) that found no difference in knowledge, administration, or accessibility of medications (p=.29); and a collaborative case management program (16-month program of assessment, meeting, and monthly follow-up telephone calls) that reduced perceived caregiver burden (p=.03). Quasi-experimental trials included collaborative care transitional coaches, an outpatient collaborative care model, and education and training programs. Of these, educational interventions showed improvements in self-efficacy, confidence, and preparedness. The collaborative care intervention reduced rehospitalizations (p=.04) and improved quality-of-care outcomes. CONCLUSION: Although some interventions improved caregiver medication knowledge and self-efficacy, effects on clinical outcomes and healthcare use were insufficiently studied. Two studies implementing collaborative care models with medication management components showed potential for improvement in quality of clinical care and reductions in healthcare visits and warrant further study with respect to medication safety. J Am Geriatr Soc 66:2128-2135, 2018.Item Cognitive effects of cancer and its treatments at the intersection of aging: what do we know; what do we need to know?(Elsevier, 2013-12) Mandelblatt, Jeanne S.; Hurria, Arti; McDonald, Brenna C.; Saykin, Andrew J.; Stern, Robert A.; VanMeter, John W.; McGuckin, Meghan; Traina, Tiffani; Denduluri, Neelima; Turner, Scott; Howard, Darlene; Jacobsen, Paul B.; Ahles, Tim; Department of Radiology and Imaging Sciences, IU School of MedicineThere is a fairly consistent, albeit non-universal body of research documenting cognitive declines after cancer and its treatments. While few of these studies have included subjects aged 65 years and older, it is logical to expect that older patients are at risk of cognitive decline. Here, we use breast cancer as an exemplar disease for inquiry into the intersection of aging and cognitive effects of cancer and its therapies. There are a striking number of common underlying potential biological risks and pathways for the development of cancer, cancer-related cognitive declines, and aging processes, including the development of a frail phenotype. Candidate shared pathways include changes in hormonal milieu, inflammation, oxidative stress, DNA damage and compromised DNA repair, genetic susceptibility, decreased brain blood flow or disruption of the blood-brain barrier, direct neurotoxicity, decreased telomere length, and cell senescence. There also are similar structure and functional changes seen in brain imaging studies of cancer patients and those seen with "normal" aging and Alzheimer's disease. Disentangling the role of these overlapping processes is difficult since they require aged animal models and large samples of older human subjects. From what we do know, frailty and its low cognitive reserve seem to be a clinically useful marker of risk for cognitive decline after cancer and its treatments. This and other results from this review suggest the value of geriatric assessments to identify older patients at the highest risk of cognitive decline. Further research is needed to understand the interactions between aging, genetic predisposition, lifestyle factors, and frailty phenotypes to best identify the subgroups of older patients at greatest risk for decline and to develop behavioral and pharmacological interventions targeting this group. We recommend that basic science and population trials be developed specifically for older hosts with intermediate endpoints of relevance to this group, including cognitive function and trajectories of frailty. Clinicians and their older patients can advance the field by active encouragement of and participation in research designed to improve the care and outcomes of the growing population of older cancer patients.Item Communication Frameworks for Palliative Surgical Consultations: A Randomized Study of Advanced Cancer Patients(Wolters Kluwer, 2023) Blumenthaler, Alisa N.; Robinson, Kristen Ashlee; Hodge, Caitlin; Xiao, Lianchun; Lilley, Elizabeth J.; Griffin, James F.; White, Michael G.; Day, Ryan; Tanco, Kimberson; Bruera, Eduardo; Badgwell, Brian D.; Surgery, School of MedicineObjective: To evaluate whether patients with advanced cancer prefer surgeons to use the best case/worst case (BC/WC) communication framework over the traditional risk/benefit (R/B) framework in the context of palliative surgical scenarios. Background: Identifying the patient's preferred communication frameworks may improve satisfaction and outcome measures during difficult clinical decision-making. Methods: In a video-vignette-based randomized, double-blinded study from November 2020 to May 2021, patients with advanced cancer viewed 2 videos depicting a physician-patient encounter in a palliative surgical scenario, in which the surgeon uses either the BC/WC or the R/B framework to discuss treatment options. The primary outcome was the patients' preferred video surgeon. Results: One hundred fifty-five patients were approached to participate; 66 were randomized and 58 completed the study (mean age 55.8 ± 13.8 years, 60.3% males). 22 patients (37.9%, 95% CI: 25.4%-50.4%) preferred the surgeon using the BC/WC framework, 21 (36.2%, 95% CI: 23.8%-48.6%) preferred the surgeon using the R/B framework, and 15 (25.9%, 95% CI: 14.6%-37.2%) indicated no preference. High trust in the medical profession was inversely associated with a preference for the surgeon using BC/WC framework (odds ratio: 0.83, 95% CI: 0.70-0.98, P = 0.03). The BC/WC framework rated higher for perceived surgeon's listening (4.6 ± 0.7 vs 4.3±0.9, P = 0.03) and confidence in the surgeon's trustworthiness (4.3 ± 0.8 vs 4.0 ± 0.9, P = 0.04). Conclusions: Surgeon use of the BC/WC communication framework was not universally preferred but was as acceptable to patients as the traditional R/B framework and rated higher in certain aspects of communication. A preference for a surgeon using BC/WC was associated with lower trust in the medical profession. Surgeons should consider the BC/WC framework to individualize their approach to challenging clinical discussions.