Target trial emulation using cohort studies: estimating the effect of antihypertensive medication initiation on incident dementia.

BACKGROUND: Observational studies link high midlife systolic blood pressure to increased dementia risk. However, synthesis of evidence from randomized controlled trials has not definitively demonstrated that antihypertensive medication use reduces dementia risk. Here, we emulate target trials of antihypertensive medication initiation on incident dementia using three cohort studies, with attention to potential violations of necessary assumptions. METHODS: We emulated trials of antihypertensive medication initiation on incident dementia using data from the Atherosclerosis Risk in Communities (ARIC) study, Cardiovascular Health Study (CHS), and Health and Retirement Study (HRS). We used data-driven methods to restrict participants to initiators and non-initiators with overlap in propensity scores and positive control outcomes to look for violations of positivity and exchangeability assumptions. RESULTS: Analyses were limited by the small number of cohort participants who met eligibility criteria. Associations between antihypertensive medication initiation and incident dementia were inconsistent and imprecise (ARIC: HR = 0.30 [0.05, 1.93]; CHS: HR = 0.66 [0.27, 1.64]; HRS: HR = 1.09 [0.75, 1.59]). More stringent propensity score restriction had little effect on findings. Sensitivity analyses using a positive control outcome unexpectedly suggested antihypertensive medication initiation increased risk of coronary heart disease in all three samples. CONCLUSIONS: Positive control outcome analyses suggested substantial residual confounding in effect estimates from our target trials, precluding conclusions about the impact of antihypertensive medication initiation on dementia risk through target trial emulation. Formalized processes for identifying violations of necessary assumptions will strengthen confidence in target trial emulation and avoid inappropriate confidence in emulated trial results.

Association of midlife air pollution exposures and residential road proximity with incident dementia: The Atherosclerosis Risk in Communities (ARIC) study.

BACKGROUND: Increasing evidence links higher air pollution exposures to increased risk of cognitive impairment. While midlife risk factors are often most strongly linked to dementia risk, few studies have considered associations between midlife roadway proximity or ambient air pollution exposure and incident dementia decades later, in late life. OBJECTIVES: Our objective was to determine if midlife exposures to ambient air pollution or roadway proximity are associated with increased risk of dementia in the Atherosclerosis Risk in Communities (ARIC) study over up to 29 years of follow-up. METHODS: Our eligible sample included Black and White ARIC participants without dementia at Visit 2 (1990-1992). Participants were followed through Visit 7 (2018-2019), with dementia status and onset date defined based on formal dementia ascertainment at study visits, informant interviews, and surveillance efforts. We used adjusted Weibull survival models to assess the associations of midlife ambient air pollution and road proximity with incident dementia. RESULTS: The median age at baseline (1990-1992, Visit 2) of the 12,700 eligible ARIC participants was 57.0 years; 56.0% were female, 24.2% were Black, and 78.9% had at least a high school education. Over up to 29 years of follow-up, 2511 (19.8%) persons developed dementia. No associations were found between ambient air pollutants and proximity to major roadways with risk of incident dementia. In exploratory analyses, living closer to roadways in midlife increased dementia risk in individuals younger at baseline and those without midlife hypertension, and there was evidence of increased risk of dementia with increased midlife exposure to NOx, several PM2.5 components, and trace metals among those with diabetes in midlife. CONCLUSIONS: Midlife exposure to ambient air pollution and midlife roadway proximity was not associated with dementia risk over decades of follow-up. Further investigation to explore potential for greater susceptibility among specific subgroups identified here is needed.

A comparison of PM2.5 exposure estimates from different estimation methods and their associations with cognitive testing and brain MRI outcomes.

BACKGROUND: Reported associations between particulate matter with aerodynamic diameter ≤2.5 µm (PM2.5) and cognitive outcomes remain mixed. Differences in exposure estimation method may contribute to this heterogeneity. OBJECTIVES: To assess agreement between PM2.5 exposure concentrations across 11 exposure estimation methods and to compare resulting associations between PM2.5 and cognitive or MRI outcomes. METHODS: We used Visit 5 (2011-2013) cognitive testing and brain MRI data from the Atherosclerosis Risk in Communities (ARIC) Study. We derived address-linked average 2000-2007 PM2.5 exposure concentrations in areas immediately surrounding the four ARIC recruitment sites (Forsyth County, NC; Jackson, MS; suburbs of Minneapolis, MN; Washington County, MD) using 11 estimation methods. We assessed agreement between method-specific PM2.5 concentrations using descriptive statistics and plots, overall and by site. We used adjusted linear regression to estimate associations of method-specific PM2.5 exposure estimates with cognitive scores (n = 4678) and MRI outcomes (n = 1518) stratified by study site and combined site-specific estimates using meta-analyses to derive overall estimates. We explored the potential impact of unmeasured confounding by spatially patterned factors. RESULTS: Exposure estimates from most methods had high agreement across sites, but low agreement within sites. Within-site exposure variation was limited for some methods. Consistently null findings for the PM2.5-cognitive outcome associations regardless of method precluded empirical conclusions about the potential impact of method on study findings in contexts where positive associations are observed. Not accounting for study site led to consistent, adverse associations, regardless of exposure estimation method, suggesting the potential for substantial bias due to residual confounding by spatially patterned factors. DISCUSSION: PM2.5 estimation methods agreed across sites but not within sites. Choice of estimation method may impact findings when participants are concentrated in small geographic areas. Understanding unmeasured confounding by factors that are spatially patterned may be particularly important in studies of air pollution and cognitive or brain health.

The Associations of Dietary Copper With Cognitive Outcomes.

Dietary copper intake may be associated with cognitive decline and dementia. We used data from 10,269 participants of the Atherosclerosis Risks in Communities Study to study the associations of dietary copper intake with 20-year cognitive decline and incident dementia. Dietary copper intake from food and supplements was quantified using food frequency questionnaires. Cognition was assessed using 3 cognitive tests at study visits; dementia was ascertained at study visits and via surveillance. Multiple imputation by chained equations was applied to account for the missing information of cognitive function during follow-up. Survival analysis with parametric models and mixed-effect models were used to estimate the associations for incident dementia and cognitive decline, respectively. During 20 years of follow-up (1996-1998 to 2016-2017), 1,862 incident cases of dementia occurred. Higher intake of dietary copper from food was associated with higher risk of incident dementia among those with high intake of saturated fat (hazard ratio = 1.49, 95% confidence interval: 1.04, 1.95). Higher intake of dietary copper from food was associated with greater decline in language overall (beta = -0.12, 95% confidence interval: -0.23, -0.02). Therefore, a diet high in copper, particularly when combined with a diet high in saturated fat, may increase the risk of cognitive impairment.

Prevalence of specialised palliative care consultation for eligible children within a paediatric cardiac ICU.

OBJECTIVE: Retrospectively apply criteria from Center to Advance Palliative Care to a cohort of children treated in a cardiac ICU and compare children who received a palliative care consultation to those who were eligible for but did not receive one. METHODS: Medical records of children admitted to a cardiac ICU between January 2014 and June 2017 were reviewed. Selected criteria include cardiac ICU length of stay >14 days and/or ≥ 3 hospitalisations within a 6-month period. MEASUREMENTS AND RESULTS: A consultation occurred in 17% (n = 48) of 288 eligible children. Children who received a consult had longer cardiac ICU (27 days versus 17 days; p < 0.001) and hospital (91 days versus 35 days; p < 0.001) lengths of stay, more complex chronic conditions at the end of first hospitalisation (3 versus1; p < 0.001) and the end of the study (4 vs.2; p < 0.001), and higher mortality (42% versus 7%; p < 0.001) when compared with the non-consulted group. Of the 142 pre-natally diagnosed children, only one received a pre-natal consult and 23 received it post-natally. Children who received a consultation (n = 48) were almost 2 months of age at the time of the consult. CONCLUSIONS: Less than a quarter of eligible children received a consultation. The consultation usually occurred in the context of medical complexity, high risk of mortality, and at an older age, suggesting potential opportunities for more and earlier paediatric palliative care involvement in the cardiac ICU. Screening criteria to identify patients for a consultation may increase the use of palliative care services in the cardiac ICU.

Generalizability of findings from a clinical sample to a community-based sample: A comparison of ADNI and ARIC.

INTRODUCTION: Clinic-based study samples, including the Alzheimer's Disease Neuroimaging Initiative (ADNI), offer rich data, but findings may not generalize to community-based settings. We compared associations in ADNI to those in the Atherosclerosis Risk in Communities (ARIC) study to assess generalizability across the two settings. METHODS: We estimated cohort-specific associations among risk factors, cognitive test scores, and neuroimaging outcomes to identify and quantify the extent of significant and substantively meaningful differences in associations between cohorts. We explored whether using more homogenous samples improved comparability in effect estimates. RESULTS: The proportion of associations that differed significantly between cohorts ranged from 27% to 34% across sample subsets. Many differences were substantively meaningful (e.g., odds ratios [OR] for apolipoprotein E ε4 on amyloid positivity in ARIC: OR = 2.8, in ADNI: OR = 8.6). DISCUSSION: A higher proportion of associations differed significantly and substantively than would be expected by chance. Findings in clinical samples should be confirmed in more representative samples.

Palliative Care in Children With Heart Disease Treated in an ICU.

OBJECTIVES: Describe pediatric palliative care consult in children with heart disease; retrospectively apply Center to Advance Palliative Care criteria for pediatric palliative care consults; determine the impact of pediatric palliative care on end of life. DESIGN: A retrospective single-center study. SETTING: A 16-bed cardiac ICU in a university-affiliated tertiary care children's hospital. PATIENTS: Children (0-21 yr old) with heart disease admitted to the cardiac ICU from January 2014 to June 2017. MEASUREMENTS AND MAIN RESULTS: Over 1,000 patients (n = 1, 389) were admitted to the cardiac ICU with 112 (8%) receiving a pediatric palliative care consultation. Patients who received a consult were different from those who did not. Patients who received pediatric palliative care were younger at first hospital admission (median 63 vs 239 d; p = 0.003), had a higher median number of complex chronic conditions at the end of first hospitalization (3 vs 1; p < 0.001), longer cumulative length of stay in the cardiac ICU (11 vs 2 d; p < 0.001) and hospital (60 vs 7 d; p < 0.001), and higher mortality rates (38% vs 3%; p < 0.001). When comparing location and modes of death, patients who received pediatric palliative care were more likely to die at home (24% vs 2%; p = 0.02) and had more comfort care at the end of life (36% vs 2%; p = 0.002) compared to those who did not. The Center to Advance Palliative Care guidelines identified 158 patients who were eligible for pediatric palliative care consultation; however, only 30 patients (19%) in our sample received a consult. CONCLUSIONS: Pediatric palliative care consult rarely occurred in the cardiac ICU. Patients who received a consult were medically complex and experienced high mortality. Comfort care at the end of life and death at home was more common when pediatric palliative care was consulted. Missed referrals were apparent when Center to Advance Palliative Care criteria were retrospectively applied.

Acute Presentation and Management of the Encephalopathic Child With an Undiagnosed Inborn Error of Metabolism.

BACKGROUND: Inborn errors of metabolism (IEM) commonly present in infancy and, less commonly, later in life. CASE REPORT: This case describes an IEM, specifically, ornithine transcarbamylase deficiency, in a previously healthy 7-year-old boy who presented to an emergency department with vomiting for approximately 24 h prior to admission. The child became progressively encephalopathic while in the emergency department, but an ammonia level was not obtained until several hours after admission. Irreversible brain damage with cerebral edema was already present at time of diagnosis, leading to death. WHY SHOULD AN EMERGENCY PHYSICIAN BE AWARE OF THIS?: This case emphasizes that acute hyperammonemia can rapidly cause irreversible neurological damage and, in the case of a newly encephalopathic pediatric patient, ammonia levels should be evaluated early to facilitate proper diagnostic tests and treatment.

Pediatric Organ Donation Potential at a Children's Hospital.

OBJECTIVES: To estimate the organ donation potential of patients dying at a children's hospital. DESIGN: Retrospective cohort study. SETTING: A free-standing, 271-bed, tertiary Children's Hospital with a pediatric trauma center. PATIENTS: Patients dying in any ICU during 2011-2012. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Among 224 deaths, 23 (10%) met neurologic criteria for death: 18 donated organs (conversion rate 78%), 47 (19%) died without prior limitation of life-sustaining therapies, and the remaining 69% had withdrawal of life-sustaining therapies. Among those dying after withdrawal of life-sustaining therapies (n = 154), the organ procurement organization was not notified prior to death in 24%, and older patients were more likely to be referred compared to those less than 1 year old. Infection, cancer, and organ dysfunction were the most frequent conditions that disqualified dying patients from suitability for donation. Just over half of children more than 1 year old were suitable for donation after withdrawal of life-sustaining therapies compared to a fifth of infants (19%). Of 45 suitable for donation, 37 (82%) died within 1 hour. None of 7 infants younger than 1 month old died within 20 minutes, compared with 46% of infants between 1 month and 1 year (n = 6) and 72% of older children. Thirty-three families (73%) did not permit donation after circulatory criteria for death whereas 12 (27%) gave permission for donation, and all 12 were actual donors (conversion rate 12/37 [32%]). CONCLUSIONS: The number of pediatric potential candidates for donation after circulatory determination of death was significantly larger than potential candidates for donation after neurologic determination of death at our hospital, but the actual donation rate was significantly lower. Increasing acceptance of donation after circulatory determination of death could increase organ donation. Among all children having withdrawal of life-sustaining therapies, donation after circulatory determination of death potential is less for infants.

Association of Gaseous Ambient Air Pollution and Dementia-Related Neuroimaging Markers in the ARIC Cohort, Comparing Exposure Estimation Methods and Confounding by Study Site.

BACKGROUND: Evidence linking gaseous air pollution to late-life brain health is mixed. OBJECTIVE: We explored associations between exposure to gaseous pollutants and brain magnetic resonance imaging (MRI) markers among Atherosclerosis Risk in Communities (ARIC) Study participants, with attention to the influence of exposure estimation method and confounding by site. METHODS: We considered data from 1,665 eligible ARIC participants recruited from four US sites in the period 1987-1989 with valid brain MRI data from Visit 5 (2011-2013). We estimated 10-y (2001-2010) mean carbon monoxide (CO), nitrogen dioxide (NO2), nitrogen oxides (NOx), and 8- and 24-h ozone (O3) concentrations at participant addresses, using multiple exposure estimation methods. We estimated site-specific associations between pollutant exposures and brain MRI outcomes (total and regional volumes; presence of microhemorrhages, infarcts, lacunes, and severe white matter hyperintensities), using adjusted linear and logistic regression models. We compared meta-analytically combined site-specific associations to analyses that did not account for site. RESULTS: Within-site exposure distributions varied across exposure estimation methods. Meta-analytic associations were generally not statistically significant regardless of exposure, outcome, or exposure estimation method; point estimates often suggested associations between higher NO2 and NOx and smaller temporal lobe, deep gray, hippocampal, frontal lobe, and Alzheimer disease signature region of interest volumes and between higher CO and smaller temporal and frontal lobe volumes. Analyses that did not account for study site more often yielded significant associations and sometimes different direction of associations. DISCUSSION: Patterns of local variation in estimated air pollution concentrations differ by estimation method. Although we did not find strong evidence supporting impact of gaseous pollutants on brain changes detectable by MRI, point estimates suggested associations between higher exposure to CO, NOx, and NO2 and smaller regional brain volumes. Analyses of air pollution and dementia-related outcomes that do not adjust for location likely underestimate uncertainty and may be susceptible to confounding bias. https://doi.org/10.1289/EHP13906.

Comparison of PM2.5 Air Pollution Exposures and Health Effects Associations Using 11 Different Modeling Approaches in the Women's Health Initiative Memory Study (WHIMS).

BACKGROUND: Many approaches to quantifying air pollution exposures have been developed. However, the impact of choice of approach on air pollution estimates and health-effects associations remains unclear. OBJECTIVES: Our objective is to compare particulate matter with aerodynamic diameter ≤2.5µm (PM2.5) concentrations and resulting health effects associations using multiple estimation approaches previously used in epidemiologic analyses. METHODS: We assigned annual PM2.5 exposure estimates from 1999 to 2004 derived from 11 different approaches to Women's Health Initiative Memory Study (WHIMS) participant addresses within the contiguous US. Approaches included geostatistical interpolation approaches, land-use regression or spatiotemporal models, satellite-derived approaches, air dispersion and chemical transport models, and hybrid models. We used descriptive statistics and plots to assess relative and absolute agreement among exposure estimates and examined the impact of approach on associations between PM2.5 and death due to natural causes, cardiovascular disease (CVD) mortality, and incident CVD events, adjusting for individual-level covariates and climate-based region. RESULTS: With a few exceptions, relative agreement of approach-specific PM2.5 exposure estimates was high for PM2.5 concentrations across the contiguous US. Agreement among approach-specific exposure estimates was stronger near PM2.5 monitors, in certain regions of the country, and in 2004 vs. 1999. Collectively, our results suggest but do not quantify lower agreement at local spatial scales for PM2.5. There was no evidence of large differences in health effects associations with PM2.5 among estimation approaches in analyses adjusted for climate region. CONCLUSIONS: Different estimation approaches produced similar spatial patterns of PM2.5 concentrations across the contiguous US and in areas with dense monitoring data, and PM2.5-health effects associations were similar among estimation approaches. PM2.5 estimates and PM2.5-health effects associations may differ more in samples drawn from smaller areas or areas without substantial monitoring data, or in analyses with finer adjustment for participant location. Our results can inform decisions about PM2.5 estimation approach in epidemiologic studies, as investigators balance concerns about bias, efficiency, and resource allocation. Future work is needed to understand whether these conclusions also apply in the context of other air pollutants of interest. https://doi.org/10.1289/EHP12995.

The association of long-term exposure to criteria air pollutants, fine particulate matter components, and airborne trace metals with late-life brain amyloid burden in the Atherosclerosis Risk in Communities (ARIC) study.

BACKGROUND: Studies suggest associations between long-term ambient air pollution exposure and outcomes related to Alzheimer's disease (AD). Whether a link exists between pollutants and brain amyloid accumulation, a biomarker of AD, is unclear. We assessed whether long-term air pollutant exposures are associated with late-life brain amyloid deposition in Atherosclerosis Risk in Communities (ARIC) study participants. METHODS: We used a chemical transport model with data fusion to estimate ambient concentrations of PM2.5 and its components, NO2, NOx, O3 (24-hour and 8-hour), CO, and airborne trace metals. We linked concentrations to geocoded participant addresses and calculated 10-year mean exposures (2002 to 2011). Brain amyloid deposition was measured using florbetapir amyloid positron emission tomography (PET) scans in 346 participants without dementia in 2012-2014, and we defined amyloid positivity as a global cortical standardized uptake value ratio ≥ the sample median of 1.2. We used logistic regression models to quantify the association between amyloid positivity and each air pollutant, adjusting for putative confounders. In sensitivity analyses, we considered whether use of alternate air pollution estimation approaches impacted findings for PM2.5, NO2, NOx, and 24-hour O3. RESULTS: At PET imaging, eligible participants (N = 318) had a mean age of 78 years, 56% were female, 43% were Black, and 27% had mild cognitive impairment. We did not find evidence of associations between long-term exposure to any pollutant and brain amyloid positivity in adjusted models. Findings were materially unchanged in sensitivity analyses using alternate air pollution estimation approaches for PM2.5, NO2, NOx, and 24-hour O3. CONCLUSIONS: Air pollution may impact cognition and dementia independent of amyloid accumulation, though whether air pollution influences AD pathogenesis later in the disease course or at higher exposure levels deserves further consideration.

Characteristics of movers and predictors of residential mobility in the Atherosclerosis Risk in Communities (ARIC) cohort.

Current efforts to characterize movers and identify predictors of moving have been limited. We used the ARIC cohort to characterize non-movers, short-distance movers, and long-distance movers, and employed best subset algorithms to identify important predictors of moving, including interactions between characteristics. Short- and long-distance movers were notably different from non-movers, and important predictors of moving differed based on the distance of the residential move. Importantly, systematic inclusion of interaction terms enhanced model fit and was substantively meaningful. This work has important implications for epidemiologic studies of contextual exposures and those treating residential mobility as an exposure.

Estimation of dementia prevalence at the local level in the United States.

INTRODUCTION: Ensuring adequate and equitable distribution of resources to support persons living with dementia relies on understanding the burden and distribution of dementia in a population. Our goal was to develop an approach to estimate dementia prevalence at the local level in the United States using publicly available data. METHODS: Our approach combines publicly available data on dementia prevalence and demographic data from the US Census to estimate dementia prevalence. We illustrate this approach by estimating dementia prevalence in persons aged 65 and older in Philadelphia, PA; Chicago, IL; and Atlanta, GA. RESULTS: Overall, we estimate the prevalence of dementia among those 65 and older to be 11.9% in Philadelphia, 11.8% Chicago, and 12.3% in Atlanta. Estimates across Philadelphia localities vary from 9.3% to 15.9%. DISCUSSION: Our approach provides a cost-effective method to generate estimates of dementia prevalence at the local level. HIGHLIGHTS: Brain health needs assessments require understanding of local dementia prevalence.Our approach can be used to estimate dementia prevalence in individual communities.This information can inform decisions about distribution of resources.

Exposure to Air Pollution in Relation to Risk of Dementia and Related Outcomes: An Updated Systematic Review of the Epidemiological Literature.

BACKGROUND: Dementia is a devastating neurologic condition that is common in older adults. We previously reviewed the epidemiological evidence examining the hypothesis that long-term exposure to air pollution affects dementia risk. Since then, the evidence base has expanded rapidly. OBJECTIVES: With this update, we collectively review new and previously identified epidemiological studies on air pollution and late-life cognitive health, highlighting new developments and critically discussing the merits of the evidence. METHODS: Using a registered protocol (PROSPERO 2020 CRD42020152943), we updated our literature review to capture studies published through 31 December 2020, extracted data, and conducted a bias assessment. RESULTS: We identified 66 papers (49 new) for inclusion in this review. Cognitive level remained the most commonly considered outcome, and particulate matter (PM) remained the most commonly considered air pollutant. Since our prior review, exposure estimation methods in this research have improved, and more papers have looked at cognitive change, neuroimaging, and incident cognitive impairment/dementia, though methodological concerns remain common. Many studies continue to rely on administrative records to ascertain dementia, have high potential for selection bias, and adjust for putative mediating factors in primary models. A subset of 35 studies met strict quality criteria. Although high-quality studies of fine particulate matter with aerodynamic diameter ≤2.5µm (PM2.5) and cognitive decline generally supported an adverse association, other findings related to PM2.5 and findings related to particulate matter with aerodynamic diameter ≤10µm (PM10, NO2, and NOx) were inconclusive, and too few papers reported findings with ozone to comment on the likely direction of association. Notably, only a few findings on dementia were included for consideration on the basis of quality criteria. DISCUSSION: Strong conclusions remain elusive, although the weight of the evidence suggests an adverse association between PM2.5 and cognitive decline. However, we note a continued need to confront methodological challenges in this line of research. https://doi.org/10.1289/EHP8716.

Trends in Relative Incidence and Prevalence of Dementia Across Non-Hispanic Black and White Individuals in the United States, 2000-2016.

Importance: In the US, dementia risk is higher in non-Hispanic Black individuals than in non-Hispanic White individuals. To evaluate progress toward reducing such disparities, tracking secular trends in racial disparities in dementia prevalence is essential. Objective: To examine whether relative racial disparities in dementia prevalence or incidence have changed in the US from 2000 to 2016. Design, Settings, and Participants: The Health and Retirement Study (HRS) is a nationally representative study of adults 50 years or older. New participants are recruited every 6 years, and study visits occur biennially. Approximately 17 000 to 22 000 respondents have been surveyed at each wave since 2000, achieving response rates of 81% to 89%. Data for this cohort study were obtained from non-Hispanic White and non-Hispanic Black participants aged 70 years and older from the 2000 to 2016 waves. For analyses of secular trends in racial disparities in dementia prevalence, each HRS wave was considered separately (range of participants meeting eligibility criteria in each wave, 6322-7579). For analyses of secular trends in racial disparities in dementia incidence, 7 subcohorts were created (range of participants meeting eligibility criteria in each subcohort, 5322-5961) following up people without dementia for 4 years from subcohort baseline visits in 2000, 2002, 2004, 2006, 2008, 2010, and 2012. Data were analyzed from October 2019 to August 2020. Exposures: Race based on self-response to closed-ended survey questions. Main Outcomes and Measures: Dementia status was determined using 3 algorithms with similar sensitivity and specificity across non-Hispanic White and Black participants. Disparities were characterized using ratio measures. Results: In this study, the mean age and percentage of male participants eligible for inclusion in analyses of racial disparities in dementia prevalence increased over time among non-Hispanic White participants (from 78.2 years and 40% in 2000 to 78.7 years and 44% in 2016) but remained steady in non-Hispanic Black participants during the same period (from 78.0 years and 37% in 2000 to 77.9 years and 38% in 2016). Prevalence ratios comparing Black and White participants ranged from approximately 1.5 to 1.9 across algorithms and years, whereas hazard ratios ranged from approximately 1.4 to 1.8. Although results suggest stable or declining dementia risk overall, there was no evidence suggesting change in relative racial disparities in dementia prevalence or incidence during follow-up. Conclusions and Relevance: This study did not find evidence to suggest that the ratio of dementia risk across Black and White individuals changed in the US between 2000 and 2016. Additional efforts to identify and mitigate the source of these disparities is warranted.

The association between midlife lipid levels and late-life brain amyloid deposition.

Elevated low-density lipoprotein cholesterol and total cholesterol in midlife and decline in total cholesterol from mid- to late-life are associated with incident dementia. Whether brain amyloid deposition mediates this relationship is unclear. We explored the association between midlife blood lipid levels and mid- to late-life change in lipid levels with brain amyloid deposition assessed using florbetapir PET scans in a biracial sample of 325 nondemented participants of the Atherosclerosis Risk in Communities-PET Amyloid Imaging study. Midlife total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, and triglycerides were not significantly associated with late-life amyloid burden after adjusting for covariates. Associations between changes in lipids and late-life amyloid deposition were similarly null. Lipids may contribute to dementia risk through alternate mechanisms.

Presence of Invasive Devices and Risks of Healthcare-Associated Infections and Sepsis.

The present study evaluated the daily risk of healthcare-associated infections and sepsis (HAIS) events in pediatric intensive care unit patients with invasive devices. This was a retrospective cohort study. Invasive devices were associated with significant daily risk of HAIS ( p < 0.05). Endotracheal tubes posed the greatest risk of HAIS (hazard ratio [HR]: 4.39, confidence interval [CI]: 2.59-7.46). Children with both a central venous catheter (CVC) and urinary catheter (UC) had over 2.5-fold increased daily risk (HR: 2.59, CI: 1.18-5.68), in addition to daily CVC risk (HR: 3.06, CI: 1.38-6.77) and daily UC risk (HR: 8.9, CI: 3.62-21.91). We conclude that a multistate hazard model optimally predicts daily HAIS risk.