Purpose of the study To examine the effect of late-life body mass index (BMI) and rapid weight loss on incident mild cognitive impairment (MCI) and Alzheimer’s disease (AD) Design Prospective longitudinal cohort study Setting National Alzheimer’s Coordinating Center (NACC) Uniform Data Set, including 34 past and current National Institute on Aging-funded AD Centers across the United States Participants 6940 older adults (n=5061 normal cognition (NC); n=1879 MCI) Measurements BMI (kg/m2) and modified Framingham Stroke Risk Profile (FSRP) score (sex, age, systolic blood pressure, anti-hypertension medication, diabetes mellitus, cigarette smoking, prevalent cardiovascular disease, atrial fibrillation) were assessed at baseline. Cognition and weight were assessed annually. Results Multivariable binary logistic regression, adjusting for age, sex, race, education, length of follow-up, and modified FSRP related late-life BMI to risk of diagnostic conversion from NC to MCI or AD and from MCI to AD. Secondary analyses related late-life BMI to diagnostic conversion in the presence of rapid weight loss (>5% decrease in 12 months) and apolipoprotein E (APOE) ε4. During a mean 3.8-year follow-up period, 12% of NC participants converted to MCI or AD and 49% of MCI participants converted to AD. Higher baseline BMI was associated with a reduced probability of diagnostic conversion, such that for each one-unit increase in baseline BMI there was a reduction in diagnostic conversion for both NC (OR=0.977, 95%CI 0.958–0.996, p=0.015) and MCI participants (OR=0.962, 95%CI 0.942–0.983, p<0.001). The protective effect of higher baseline BMI did not persist in the setting of rapid weight loss but did persist when adjusting for APOE. Conclusions Higher late-life BMI is associated with a lower risk of incident MCI and AD but is not protective in the presence of rapid weight loss.

Background: Polypharmacy is prevalent among hospitalized older adults, particularly those being discharged to a post-care care facility (PAC). The aim of this randomized controlled trial is to determine if a patient-centered deprescribing intervention initiated in the hospital and continued in the PAC setting reduces the total number of medications among older patients. Methods: The Shed-MEDS study is a 5-year, randomized controlled clinical intervention trial comparing a patientcentered describing intervention with usual care among older (≥50 years) hospitalized patients discharged to PAC, either a skilled nursing facility (SNF) or an inpatient rehabilitation facility (IPR). Patient measurements occur at hospital enrollment, hospital discharge, within 7 days of PAC discharge, and at 60 and 90 days following PAC discharge. Patients are randomized in a permuted block fashion, with block sizes of two to four. The overall effectiveness of the intervention will be evaluated using total medication count as the primary outcome measure. We estimate that 576 patients will enroll in the study. Following attrition due to death or loss to follow-up, 420 patients will contribute measurements at 90 days, which provides 90% power to detect a 30% versus 25% reduction in total medications with an alpha error of 0.05. Secondary outcomes include the number of medications associated with geriatric syndromes, drug burden index, medication adherence, the prevalence and severity of geriatric syndromes and functional health status.Discussion: The Shed-MEDS trial aims to test the hypothesis that a patient-centered deprescribing intervention initiated in the hospital and continuing through the PAC stay will reduce the total number of medications 90 days following PAC discharge and result in improvements in geriatric syndromes and functional health status. The results of this trial will quantify the health outcomes associated with reducing medications for hospitalized older adults with polypharmacy who are discharged to post-acute care facilities.Trial registration: This trial was prospectively registered at clinicaltrials.gov (NCT02979353). The trial was first registered on 12/1/2016, with an update on 09/28/17 and 10/12/2018.

A hospital-based, patient-centered deprescribing intervention is feasible and may reduce the medication burden in older adults.

OBJECTIVES Physical frailty (or loss of physiologic reserve) is associated with cognitive impairment and dementia. Subjective cognitive decline (SCD) may represent early pathologic changes of dementia. The association between these disease markers is unclear. DESIGN Cross‐sectional analysis. SETTING Community‐based participants from the Vanderbilt Memory & Aging Project. PARTICIPANTS A total of 306 older adults with normal cognition (NC; n = 174) or mild cognitive impairment (MCI; n = 132). MEASUREMENTS Frailty was measured using standard methods, and a composite frailty score was calculated. SCD was quantified using the Everyday Cognition Scale (ECog; total score and four domain scores). Objective cognition was assessed with the Montreal Cognitive Assessment (MoCA). Proportional odds models, stratified by sex, related the frailty composite to MoCA and total ECog score adjusting for age, education, body mass index, cognitive diagnosis, depressed mood, Framingham Stroke Risk Profile, apolipoprotein E (APOE ε4) carrier status, and height (for gait speed models). Secondary models related individual frailty components to SCD domains and explored associations in NC only. RESULTS In women, frailty composite was related to MoCA (odds ratio [OR] = .56; P = .04), a finding attenuated in sensitivity analysis (OR = .59; P = .08). Frailty composite related to ECog total (OR = 2.27; P = .02), planning (OR = 2.63; P = .02), and organization scores (OR = 2.39; P = .03). Increasing gait speed related to lower ECog total (OR = .06; P = .003) and memory scores (OR = .03; P < .001). Grip strength related to lower ECog planning score (OR = .91; P = .04). In men, frailty was unrelated to objective and subjective cognition (P values >.07). Findings were consistent in the NC group. CONCLUSION Frailty component and composite scores are related to SCD before the presence of overt dementia. Results suggest that this association is present before overt cognitive impairment. Results suggest a possible sex difference in the clinical manifestation of frailty, with primary associations noted in women. Further studies should investigate mechanisms linking early changes among frailty, SCD, and cognition. J Am Geriatr Soc, 1–9, 2019. J Am Geriatr Soc 67:1803–1811, 2019

ImportanceDeprescribing is a promising approach to addressing the burden of polypharmacy. Few studies have initiated comprehensive deprescribing in the hospital setting among older patients requiring ongoing care in a postacute care (PAC) facility.ObjectiveTo evaluate the efficacy of a patient-centered deprescribing intervention among hospitalized older adults transitioning or being discharged to a PAC facility.Design, Setting, and ParticipantsThis randomized clinical trial of the Shed-MEDS (Best Possible Medication History, Evaluate, Deprescribing Recommendations, and Synthesis) deprescribing intervention was conducted between March 2016 and October 2020. Patients who were admitted to an academic medical center and discharged to 1 of 22 PAC facilities affiliated with the medical center were recruited. Patients who were 50 years or older and had 5 or more prehospital medications were enrolled and randomized 1:1 to the intervention group or control group. Patients who were non–English speaking, were unhoused, were long-stay residents of nursing homes, or had less than 6 months of life expectancy were excluded. An intention-to-treat approach was used.InterventionsThe intervention group received the Shed-MEDS intervention, which consisted of a pharmacist- or nurse practitioner–led comprehensive medication review, patient or surrogate-approved deprescribing recommendations, and deprescribing actions that were initiated in the hospital and continued throughout the PAC facility stay. The control group received usual care at the hospital and PAC facility.Main Outcomes and MeasuresThe primary outcome was the total medication count at hospital discharge and PAC facility discharge, with follow-up assessments during the 90-day period after PAC facility discharge. Secondary outcomes included the total number of potentially inappropriate medications at each time point, the Drug Burden Index, and adverse events.ResultsA total of 372 participants (mean [SD] age, 76.2 [10.7] years; 229 females [62%]) were randomized to the intervention or control groups. Of these participants, 284 were included in the intention-to-treat analysis (142 in the intervention group and 142 in the control group). Overall, there was a statistically significant treatment effect, with patients in the intervention group taking a mean of 14% fewer medications at PAC facility discharge (mean ratio, 0.86; 95% CI, 0.80-0.93; P &amp;lt; .001) and 15% fewer medications at the 90-day follow-up (mean ratio, 0.85; 95% CI, 0.78-0.92; P &amp;lt; .001) compared with the control group. The intervention additionally reduced patient exposure to potentially inappropriate medications and Drug Burden Index. Adverse drug event rates were similar between the intervention and control groups (hazard ratio, 0.83; 95% CI, 0.52-1.30).Conclusions and RelevanceResults of this trial showed that the Shed-MEDS patient-centered deprescribing intervention was safe and effective in reducing the total medication burden at PAC facility discharge and 90 days after discharge. Future studies are needed to examine the effect of this intervention on patient-reported and long-term clinical outcomes.Trial RegistrationClinicalTrials.gov Identifier: NCT02979353

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This study provides novel data related to the amount of staff time necessary to provide quality ADL care for persons with dementia in an assisted living care setting. This study also describes a standardized approach to staff management that was effective in maintaining quality ADL care provision. Assisted living facilities should consider these data when determining the necessary unlicensed staffing level to provide person-centered ADL care and how to effectively manage direct care providers.

Background: Hospitalized older adults have a high prevalence of polypharmacy and medication inaccuracies. Gathering the best possible medication history (BPMH) is necessary to accurately identify each medication for multimorbid older adults. The objective was to describe a multipronged approach to obtaining the BPMH for hospitalized older adults, quantify the medication discrepancies identified through these sources, and explore factors associated with these discrepancies. Methods: Cross-sectional analysis of 372 hospitalized older adults (age ≥ 50) transitioning to post-acute care as part of a randomized controlled trial to reduce medication burden. We used four information sources to yield a BPMH. Medication discrepancies at hospital admission were categorized as omissions, additions, and dose discrepancies after comparing alternate sources with the electronic medical record (EMR). Multivariate regression analysis, including patient factors (e.g., age, prehospital medication count, number of pharmacies), was performed to identify factors associated with the total count of medication discrepancies.Results: Ninety percent of participants had at least one medication discrepancy and 46% used more than one pharmacy. The majority of discrepancies were omissions. Among the entire cohort, there was a median of two omitted medications per patient across two alternate sources-pharmacy refill history and bedside interview. Lower age, greater total number of prehospital medications, and admission from assisted living or skilled nursing facility were significantly associated with greater medication discrepancies. Conclusion:A multipronged and consistent approach to obtain a BPMH during hospitalization for multimorbid older adults revealed medication discrepancies that should be addressed prior to hospital discharge to support safe prescribing practices.