Citations

Objectives: Patients requiring admission to an ICU may subsequently experience cognitive decline. Our objective was to investigate longitudinal cognitive trajectories in older adults hospitalized in ICUs. We hypothesized that individuals hospitalized for critical illness develop greater cognitive decline compared with those who do not require ICU admission. Design: A retrospective cohort study using prospectively collected cognitive scores of participants enrolled in the Mayo Clinic Study of Aging and ICU admissions retrospectively ascertained from electronic medical records. A covariate-adjusted linear mixed effects model with random intercepts and slopes assessed the relationship between ICU admissions and the slope of global cognitive z scores and domains scores (memory, attention/executive, visuospatial, and language). Setting: ICU admissions and cognitive scores in the Mayo Clinic Study of Aging from October 1, 2004, to September 11, 2017. Patients: Nondemented participants age 50 through 91 at enrollment in the Mayo Clinic Study of Aging with an initial cognitive assessment and at least one follow-up visit. Interventions: None. Measurements and Main Results: Of 3,673 participants, 372 had at least one ICU admission with median (25–75th percentile) follow-up after first ICU admission of 2.5 years (1.2–4.4 yr). For global cognitive z score, admission to an ICU was associated with greater decline in scores over time compared with participants not requiring ICU admission (difference in annual slope = –0.028; 95% CI, –0.044 to –0.012; p < 0.001). ICU admission was associated with greater declines in memory (–0.029; 95% CI, –0.047 to –0.011; p = 0.002), attention/executive (–0.020; 95% CI, –0.037 to –0.004; p = 0.016), and visuospatial (–0.013; 95% CI, –0.026 to –0.001; p = 0.041) domains. ICU admissions with delirium were associated with greater declines in memory (interaction p = 0.006) and language (interaction p = 0.002) domains than ICU admissions without delirium. Conclusions: In older adults, ICU admission was associated with greater long-term cognitive decline compared with patients without ICU admission. These findings were more pronounced in those who develop delirium while in the ICU.

Background: Exercise prevents recurrent cardiovascular events and it may combat cognitive decline in coronary artery disease (CAD); however, evidence in type 2 diabetes (T2DM) has been mixed. T2DM and memory decline have been associated with differences in the plasma sphingolipidome. Objective: Here, we will investigate whether T2DM-related sphingolipids predict less memory improvement over an exercise intervention for CAD. Methods: Among participants with CAD entering a 6-month exercise intervention, we matched 20 with T2DM to 40 without T2DM for age, sex, and body mass index. We assessed 45 sphingolipid species using high-performance liquid chromatography coupled electrospray ionization tandem mass spectrometry with multiple reaction monitoring. We assessed memory using the California Verbal Learning Test, 2nd Ed, and the revised Brief Visuospatial Learning Test. Results: Partial least squares discriminant analysis identified 8 species that distinguished T2DM from non-T2DM groups with 83% (95% confidence interval [70%, 95%]) accuracy in a receiver operator characteristic curve (validated by internal resampling, 1000 permutations, p = 0.01). At baseline, T2DM-associated sphingolipids (ceramide C22 : 0, monohexylceramide C16 : 1, and lactosylceramide C24 : 0) were associated with poorer memory, attention, and psychomotor processing speed performance. Among 50 completers, an indirect effect of T2DM on less improvement in verbal memory was mediated by monohexylceramide C16 : 1 (0.86 fewer words recalled, 95% bootstrap confidence interval [–2.32, –0.24]), and an indirect effect of T2DM on less visuospatial memory improvement was mediated by ceramide C22 : 0 concentrations (0.42 fewer points, 95% bootstrap confidence interval [–1.17, –0.05]). Conclusions: Ceramide species associated with T2DM predicted poorer cognitive responses to exercise in patients with CAD.

Objective. Autonomic symptoms are common in α-synuclein disorders: multiple system atrophy (MSA), Parkinson’s disease (PD), dementia with Lewy bodies (DLB), and Parkinson’s disease with dementia (PDD). These symptoms may precede the motor findings/clinical diagnosis by years. Erectile dysfunction (ED) is an autonomic symptom that has rarely been studied in these α-synuclein disorders. In this population-based, case-control study, we investigated the association between premonitory erectile dysfunction surfacing prior to the clinical-motor manifestations of these α-synucleinopathies. Methods. We used the medical record-linkage system of the Rochester Epidemiology Project to identify cases of α-synucleinopathies in Olmsted County from 1991 to 2010. Each male case was matched by age (±1 year) of symptom onset and sex to a control. We reviewed complete medical records of cases and controls to detect erectile dysfunction prior to the clinical-motor onset of α-synucleinopathies of any type. We used conditional logistic regression to calculate the odds ratio of all α-synucleinopathies, as well as by type, adjusting for diabetes, coffee, and smoking. Results. A history of male erectile dysfunction was associated with 1.5-fold increased odds of an α-synucleinopathy diagnosis of any type in univariate analyses (p=0.06). When stratifying α-synucleinopathies by type, early erectile dysfunction was most frequent in MSA cases than matched controls (45% vs. 9%). Premotor phase ED was next most frequent among the DLB cases (46% vs. 27% among the controls; OR = 2.83, p=0.03; when adjusted for diabetes, smoking, and coffee, OR = 2.98, p=0.04). Premotor phase ED was not significantly associated with PD or PDD. Conclusions. Early erectile dysfunction may be a premotor symptom of MSA and DLB, reflecting premonitory dysautonomia. It was not associated with premotor PD or PDD.

Background: Plasma metabolites are associated with cognitive and physical function in the elderly. Because cerebral small vessel disease (SVD) and neurodegeneration are common causes of cognitive and physical function decline, the primary objective of this study was to investigate the associations of six plasma metabolites (two plasma phosphatidylcholines [PCs]: PC aa C36:5 and PC aa 36:6 and four sphingomyelins [SMs]: SM C26:0, SM [OH] C22:1, SM [OH] C22:2, SM [OH] C24:1) with magnetic resonance imaging (MRI) features of cerebral SVD and neurodegeneration in older adults. Methods: This study included 238 older adults in the Atherosclerosis Risk in Communities study at the fifth exam. Multiple linear regression was used to assess the association of each metabolite (log-transformed) in separate models with MRI measures except lacunar infarcts, for which binary logistic regression was used. Results: Higher concentrations of plasma PC aa C36:5 had adverse associations with MRI features of cerebral SVD (odds ratio of 1.69 [95% confidence interval: 1.01, 2.83] with lacunar infarct, and beta of 0.16 log [cm3] [0.02, 0.30] with log [White Matter Hyperintensities (WMH) volume]) while higher concentrations of 3 plasma SM (OH)s were associated with higher total brain volume (beta of 12.0 cm3 [5.5, 18.6], 11.8 cm3 [5.0, 18.6], and 7.3 cm3 [1.2, 13.5] for SM [OH] C22:1, SM [OH] C22:2, and SM [OH] C24:1, respectively). Conclusions: This study identified associations between certain plasma metabolites and brain MRI measures of SVD and neurodegeneration in older adults, particularly higher SM (OH) concentrations with higher total brain volume.

There has been no comparison of excessive daytime sleepiness (EDS) in patients with Alzheimer’s disease dementia (AD), dementia with Lewy bodies (DLB), and behavioral variant frontotemporal dementia (bvFTD). We identified patients with mild dementia who met criteria for these disorders who also had the Epworth Sleepiness Scale (ESS) completed. The sample included 17 bvFTD, 111 AD, and 31 DLB. An ESS score ≥10 was considered abnormal and consistent with EDS. Analyses with age and sex as covariates revealed higher mean ESS scores for DLB compared to the other groups (DLB 13.9 [5], bvFTD 9.6 [8], AD 8.8 [5], P < .05). An ESS score ≥10 was significantly more likely to occur in DLB compared to bvFTD or AD (DLB 81% vs bvFTD 47% vs AD 45%, P < .01). In patients with mild dementia, EDS is greatest in DLB and comparably lower in bvFTD and AD.

Objective: To determine the frequency and characteristics of symptomatic intracerebral hemorrhage in a population-based study Patients and Methods: The population-based Mayo Clinic Study of Aging included 4,994 participants age ≥50 years entered from 11/29/2004 to 3/11/2017. Participants with intracranial hemorrhage were identified using the Rochester Epidemiology Project medical records linkage system. Medical records of these individuals were reviewed. Each hemorrhage was classified as deep, lobar, or cerebellar intracerebral hemorrhage (ICH) or convexity subarachnoid hemorrhage (cSAH). Traumatic, subdural, non-convexal SAH, and epidural hemorrhages were excluded. Patient demographics, presence of hypertension, antithrombotic regimen, APOE genotype, and amyloid PET scan results were collected when available. Individuals with hemorrhages were matched 3:1 on age and gender to controls without symptomatic hemorrhage. Analyses within the cases and between the groups were performed. Results: Symptomatic hemorrhages were identified in 57 individuals for a frequency of 1.14%. Twenty-one were classified as deep, 26 lobar, 5 cerebellar, and 5 cSAH. Mean age at the time of hemorrhage was 80.9 years (SD ±7.9). 54.4% of hemorrhages occurred in men. Hypertension was present in 45.6%. Of those with lobar ICH or cSAH, 87.1% were on an antithrombotic compared to 65.6% of controls (p=0.02) and 32.3% of these were on warfarin compared to 12.9% of controls (p=0.01). APOE genotype was available in 54 of the 57. APOE e2 and/or e4 was found in 46.7% of those with lobar ICH/cSAH compared to 39.1% of controls (p=0.47) and 35.0% of those with deep ICH versus 39.3% of controls (p=0.73). Of the 31 with either lobar ICH or cSAH, 7 underwent amyloid PET scans; of these, 71.4% were abnormal compared to 42.9% of controls with mean SUVR of 1.911 and 1.565, respectively (p=0.08). Conclusions: Symptomatic ICH occurred in approximately 1 in 100 individuals age 50-94 years in this population-based study. In a matched case-control study, antithrombotic use (particularly warfarin) was statistically associated with the development of an ICH. While only a subset underwent amyloid PET, there was a trend towards greater amyloid load in those who developed a lobar or cSAH compared to controls.

Background: Although white matter hyperintensities (WMH) have been viewed as a marker of vascular disease, pathology studies have found an association of WMH with Alzheimer’s disease (AD) pathologies. Our objective was to investigate the topographic patterns of WMH associated with AD biomarkers. Methods: From the population-based Mayo Clinic Study of aging, 434 non-demented participants with FLAIR-MRI, tau-PET and PiB-PET scans were identified. A subset had microbleeds on T2* GRE scans. We ran SPM12 based voxel-wise multiple regression analyses to detect WMH regions associated with AD biomarkers (global amyloid from PiB-PET and meta-ROI tau uptake from tau-PET) adjusting for age, sex, and hypertension. For amyloid associations, we additionally adjusted for tau and vice versa. Results: Topographic patterns of WMH associated with amyloid after both voxel and cluster level corrections primarily included periventricular WMH (frontal and parietal lobes). Masks with lenient threshold (greater detection sensitivity) and strict thresholds (greater detection specificity) are shown in the figure. (A) and (B) show the areas of positive associations between PIB ratio and WMHs adjusted by age, sex, education, hypertension and Tau meta ROI. The sensitive mask (A) was thresholded at FDR p<0.05 at voxel level and FWE p<0.05 at cluster level. The specific mask (B) was thresholded at FDR p<0.001 at voxel level and FDR p<0.05 at cluster level. (C) Shows the frequency of WMHs in the study sample, ranging from infrequent (dark blue) to frequent (green to red). Both the sensitive (p<0.001, Cohen’s D=0.615) and specific WMH maps (p<0.001, Cohen’s D = 0.705) were associated with microbleeds. No WMH regions were associated with tau. Conclusion: Amyloid but not tau load on PET was associated with WMH topographically. The WMH regions associated with amyloid were associated with CMBs suggesting that cerebral amyloid angiopathy may be contributing to the relationship between amyloid and WMH.

AbstractAs more biomarkers for Alzheimer’s disease and age-related brain conditions become available, more sophisticated analytic approaches are needed to take full advantage of the information they convey. Most work has been done using categorical approaches but the joint relationships of tau PET, amyloid PET and cortical thickness in their continuous distributions to cognition have been under-explored. We evaluated non-demented subjects over age 50 years in the Mayo Clinic Study of Aging, 2037 of whom had undergone 3 T MRI scan, 985 amyloid PET scan with 11C-Pittsburgh compound B (PIB) and MRI, and 577 PIB-PET, 18F-AV1451 flortaucipir PET and MRI. Participants received a nine-test cognitive battery. Three test scores (logical memory delayed recall, visual reproduction delayed recall and auditory verbal learning test delayed recall) were used to generate a memory composite z-score. We used Gradient Boosting Machine models to analyse the relationship between regional cortical thickness, flortaucipir PET signal, PIB-PET signal and memory z-scores. Age, education, sex and number of test exposures were included in the model as covariates. In this population-based study of non-demented subjects, most of the associations between biomarkers and memory z-scores accrued after 70 years of age. Entorhinal cortex exhibited the strongest associations between biomarkers and memory z-scores. Other temporal regions showed similar but attenuated associations, and non-temporal regions had negligible associations between memory z-scores and biomarkers. Entorhinal flortaucipir PET signal, PIB-PET signal and entorhinal cortical thickness were independently and additively associated with declining memory z-scores. In contrast to global PIB-PET signal where only very high amyloid-β levels were associated low memory z-scores, entorhinal flortaucipir PET signal just above background levels was associated with low memory z-scores. The lowest memory z-scores occurred with the confluence of elevated entorhinal flortaucipir PET signal and lower entorhinal cortical thickness.