Citations

Objectives: Administrative criteria are often used to define COVID-19 outcomes despite challenges in differentiating hospitalization “for” vs “with” COVID-19 and unknown reliability for identifying COVID-related cardiopulmonary complications. We implemented a protocol to adjudicate COVID-related events across 14 studies participating in C4R. Methods: C4R cohorts ascertained COVID-related hospitalizations and deaths via questionnaires or ongoing surveillance. Medical records were reviewed by C4R physicians using a standardized protocol to assign COVID-related diagnoses as definite or probable. C4R diagnoses were compared against ICD codes assigned to the events. This report includes data from events centrally adjudicated by C4R as of September 2022. Results: Among 144 events ascertained across 7 cohorts as potentially COVID-related, SARS-CoV-2 infection was confirmed in 107/117 (91%) non-fatal hospitalizations and 26/27 (96%) deaths. Of confirmed infections, COVID-19 illness was diagnosed as the cause of 101/107 (94%) hospitalizations and 24/26 (92%) deaths ( Table ). Of non-fatal hospitalizations with infection, 72% were diagnosed with severe or critical COVID-19, 78% with COVID-associated pneumonia, and 29% with renal failure; other complications were less common. C4R review did not validate diagnoses indicated by ICD codes for 1 COVID-19 infection, 5 pneumonias, 1 stroke, and 7 renal failure cases. C4R review did identify diagnoses that were not ICD-coded for 13 infections, 31 pneumonias, 6 myocardial infarctions, 5 venous thromboses, and 21 renal failure cases. Conclusions: Protocolized medical records review by C4R confirmed COVID-19 as the cause of hospitalization or death in 87% of events ascertained as potentially COVID-related and 94% of those in which SARS-CoV-2 infection was confirmed. Both false-positive and false-negative misclassification by ICD criteria was observed. Protocolized review may be useful to identify and validate COVID-related events for epidemiologic research.

Background: Atrial fibrillation (AF) is associated with increased risk of hospitalization. However, little is known about the impact of AF on non-inpatient healthcare utilization or about sex or race differences in AF-related utilization. We examined rates of inpatient and outpatient utilization by AF status in the Atherosclerosis Risk in Communities (ARIC) study. Methods and Results: ARIC cohort participants with incident AF enrolled in fee-for-service Medicare, Parts A and B, for at least 12 continuous months between 1991 and 2009 were matched on age, sex, race and center to up to three participants without AF. Healthcare utilization was ascertained from inpatient and outpatient Medicare claims and classified based on primary ICD-9 code. The analysis included 944 AF and 2,761 non-AF participants. The average number of days hospitalized per year was 13.1 (95% confidence interval [CI]: 11.5-15.0) and 2.8 (95% CI: 2.5-3.1) for those with and without AF, respectively. The corresponding number of outpatient claims per year was 53.2 (95% CI: 50.4-56.1) and 23.0 (95% CI: 22.2-23.8) for those with and without AF, respectively (Table). Most utilization in AF patients was attributable to non-AF conditions, particularly other-cardiovascular disease (CVD)-related reasons; the adjusted rate ratio for days hospitalized per year for other-CVD-related reasons was 4.76 (95% CI: 3.51 - 6.44) for those with compared to those without AF. There was suggestive evidence that sex modified the association between AF and inpatient utilization, with AF related to greater utilization in women than men. The association between AF and healthcare utilization was similar in whites and blacks. Conclusions: This study highlights the considerably greater healthcare utilization (inpatient and outpatient) among those with AF; the differential in utilization due to other-CVD-related reasons was substantial. In addition to recommended heart rate or rhythm treatment, accompanying cardiovascular comorbidities should be evaluated and managed.

Background: Most patients receive a diagnosis of dementia late in the course of the disease. In an effort to learn more about the potential for earlier detection, we examined comorbidity burden preceding a diagnosis of dementia in a cohort of older adults. Methods: Cognitive status of ARIC Study cohort participants (n=6,538) was adjudicated at Visit 5 (2011-2013) by a classification committee of physicians and neuropsychologists using a battery of neurocognitive tests, functional assessments, and neurologic exam. Additionally, cognitive status of participants who did not attend the Visit 5 examination, but were alive at the time of the visit (n= 2,289) was ascertained through a Telephone Interview for Cognitive Status-Modified (TICS) or Clinical Dementia Rating (CDR) informant interview. We examined the presence of dementia diagnostic codes in claims for inpatient and outpatient services occurring during the years 1991-2013 and preceding dementia diagnoses among all ARIC cohort participants with a dementia classification. In a sample of study participants who were enrolled in continuous fee-for-service (FFS) Medicare for at least 5 years prior to dementia ascertainment, we examined the comorbidity profile preceding the date of dementia ascertainment using ICD9 diagnostic codes obtained from inpatient records and claims for outpatient office visits. Results: Of the 7,283 ARIC participants enrolled in FFS Medicare at the time of ARIC dementia ascertainment (39.6% men, 26.4% black, mean age 76.7 years (SD 5.4)), 901 (12.4%) were classified as having dementia. Only 41.3% of those classified with dementia and 2.6% of those classified as cognitively intact had dementia diagnostic codes in any position in claims for inpatient or outpatient care preceding the ascertainment of cognitive status. In analyses limited to participants with 5 years of continuous FFS Medicare enrollment prior to the cognitive status ascertainment, we observed a consistently greater frequency of hospitalizations among study participants with a subsequent dementia classification, as compared to those with no cognitive impairment (1.62 (SD 0.08) vs. 1.10 (SD 0.05) hospitalizations per participant in the year preceding dementia diagnosis, respectively). No difference in the frequency of outpatient visits was observed. In addition to a greater frequency of diagnostic codes for cerebrovascular disease and cerebral degeneration, those with a positive dementia classification had a greater prior frequency of ICD9 codes for depression, heart failure, acute renal failure, and fluid and electrolyte disorders, as compared to those with no cognitive impairment. Conclusion: Dementia patients may have distinct comorbidity profiles in the years preceding a diagnosis. A greater understanding of these profiles is important for characterizing patient factors that may enable early detection and management.

Background: Vascular aging is associated with cognitive decline. Aortic stiffness is a hallmark of vascular aging. We tested the hypothesis that greater aortic stiffness is associated with a faster rate of cognitive decline over 5 years among older adults. Methods: A prospective cohort study at the 5th (2011-2013) and 6th (2016-2017) examinations of the Atherosclerosis Risk in Communities Neurocognitive Study (ARIC-NCS) was conducted to quantify the association between baseline aortic stiffness and cognitive decline over 5 years. A total of 4639 participants (mean age: 75 years, 41% men, 22% Black) with baseline measures of aortic stiffness and cognitive function were included in the analysis. Aortic stiffness was measured as carotid-femoral pulse wave velocity (cfPWV) using the Omron VP-1000 Plus device and analyzed continuously per 1 standard deviation meter/second (3.20 m/s). Elevated aortic stiffness was defined as the upper 25th percentile of cfPWV (13.39 m/s). Cognitive function was based on ten neuropsychological tests across multiple domains of cognition, including memory, executive function/processing speed, and language. A global cognitive performance factor score was estimated based on all cognitive tests at both visits. Multivariable linear regression was used to examine the associations of each standard deviation (SD) increment in cfPWV and elevated cfPWV with annual cognitive decline over 5 years. Interactions with baseline cognitive status were assessed. To account for attrition (35% over 5 years), multiple imputation by chained equations was used to impute missing global cognitive performance factor scores at visit 6. Results: Each 1 SD increase in cfPWV was associated with 0.008 SD (Beta (β)=-0.008, 95% confidence interval (CI): -0.010, -0.003) annual rate of decline in cognitive function after adjustment for age, sex, education, race-center and ApoE4. With additional adjustment for ever smoking, total weekly physical activity time, mean arterial pressure, diabetes, and body mass index, each SD higher cfPWV was associated with 0.005 SD (β=-0.005, 95% CI: -0.010, -0.001) annual rate of decline in cognitive function. Elevated cfPWV was associated with 0.015 SD (β=-0.015, 95% CI: -0.024, -0.005) annual decline in cognitive function, and with 0.010 SD (β=-0.010, 95% CI: -0.020, 0.0001) annual decline after additional adjustment. Conclusion: Higher aortic stiffness is associated with the rate of decline in global cognitive function among community-dwelling older adults. The hemodynamic sequelae of aortic stiffening may contribute to cognitive decline among older adults.

Background Changes in white matter microstructural integrity are detectable before appearance of white matter lesions on magnetic resonance imaging as a manifestation of cerebral small‐vessel disease. The information relating poor white matter microstructural integrity to aortic stiffness, a hallmark of aging, is limited. We aimed to examine the association between aortic stiffness and white matter microstructural integrity among older adults. Methods and Results We conducted a cross‐sectional study to examine the association between aortic stiffness and white matter microstructural integrity among 1484 men and women (mean age, 76 years) at the 2011 to 2013 examination of the ARIC‐NCS (Atherosclerosis Risk in Communities Neurocognitive Study). Aortic stiffness was measured as carotid‐femoral pulse wave velocity. Cerebral white matter microstructural integrity was measured as fractional anisotropy and mean diffusivity using diffusion tensor imaging. Multivariable linear regression was used to examine the associations of carotid‐femoral pulse wave velocity with fractional anisotropy and mean diffusivity of the overall cerebrum and at regions of interest. Each 1‐m/s higher carotid‐femoral pulse wave velocity was associated with lower overall fractional anisotropy (β=−0.03; 95% CI , −0.05 to −0.02) and higher overall mean diffusivity (β=0.03; 95% CI , 0.02–0.04). High carotid‐femoral pulse wave velocity (upper 25th percentile) was associated with lower fractional anisotropy (β=−0.40; 95% CI , −0.61 to −0.20) and higher overall mean diffusivity (β=0.27; 95% CI , 0.10–0.43). Similar associations were observed at individual regions of interest. Conclusions High aortic stiffness is associated with low cerebral white matter microstructural integrity among older adults. Aortic stiffness may serve as a target for the prevention of poor cerebral white matter microstructural integrity.

Introduction: Stiffening of the aorta is associated with greater pulse pressure and transmission of pulsatile energy into the cerebral circulation, which can increase susceptibility to microvascular damage in the brain. We tested the hypothesis that higher aortic stiffness measured in late-life is associated with a greater prevalence odds of dementia measured ~5 years later. Methods: Dementia-free ARIC-NCS participants (n=4753; mean age: 75 years; 42% male; 21% black) with measures of aortic stiffness at the visit 5 (2011-2013) examination were included. Aortic stiffness was measured by carotid-femoral pulse wave velocity (cfPWV) using the VP-1000 Plus device (Omron Co., Japan) and modeled as continuous (per standard deviation (SD)), categorical into distribution-based quartiles, and as elevated vs. non-elevated cfPWV according to the upper 25 th percentile (13.34 m/s). Cognitive status (normal/mild cognitive impairment (MCI)/dementia) was ascertained at the visit 5 and 6 (2016-2017) examinations with expert review by an adjudication committee of in-person cognitive testing. A multivariable logistic regression model estimated the adjusted association of cfPWV with 5-year odds of dementia. Results: Among dementia-free participants, a 1 SD higher cfPWV was associated with a greater odds of dementia (Odds Ratio (OR): 1.19 (95% Confidence Interval (CI): 1.03, 1.39). Elevated cfPWV (upper 25 th percentile) was also associated with a greater odds of dementia (OR: 1.54, 95% CI: 1.08, 2.19) in this sample. This association was stronger among participants who were cognitively normal at visit 5 (n=3758, Table): the multivariable-adjusted OR of dementia = 2.16 (95% CI: 1.35, 3.47) for elevated vs. non-elevated cfPWV. The risk of dementia among those with baseline MCI (n=955) was not associated with cfPWV levels. Results were robust to adjustment for vascular risk factors. Conclusions: Among older adults, especially when MCI is not present, greater central aortic stiffness is associated with dementia risk.

Background Central arterial stiffening and increased pulsatility, with consequent cerebral hypoperfusion, may result in structural brain damage and cognitive impairment. Methods and Results We analyzed a cross‐sectional sample of ARIC ‐ NCS (Atherosclerosis Risk in Communities–Neurocognitive Study) participants (aged 67–90 years, 60% women) with measures of cognition (n=3703) and brain magnetic resonance imaging (n=1255). Central arterial hemodynamics were assessed as carotid‐femoral pulse wave velocity and pressure pulsatility (central pulse pressure). We derived factor scores for cognitive domains. Brain magnetic resonance imaging using 3‐Tesla scanners quantified lacunar infarcts; cerebral microbleeds; and volumes of white matter hyperintensities, total brain, and the Alzheimer disease signature region. We used logistic regression, adjusted for demographics, apolipoprotein E ɛ4, heart rate, mean arterial pressure, and select cardiovascular risk factors, to estimate the odds of lacunar infarcts or cerebral microbleeds. Linear regression, additionally adjusted for intracranial volume, estimated the difference in log‐transformed volumes of white matter hyperintensities , total brain, and the Alzheimer disease signature region. We estimated the mean difference in cognitive factor scores across quartiles of carotid‐femoral pulse wave velocity or central pulse pressure using linear regression. Compared with participants in the lowest carotid‐femoral pulse wave velocity quartile, participants in the highest quartile of carotid‐femoral pulse wave velocity had a greater burden of white matter hyperintensities ( P =0.007 for trend), smaller total brain volumes (−18.30 cm 3 ; 95% CI , −27.54 to −9.07 cm 3 ), and smaller Alzheimer disease signature region volumes (−1.48 cm 3 ; 95% CI , −2.27 to −0.68 cm 3 ). These participants also had lower scores in executive function/processing speed (β=−0.04 z score; 95% CI , −0.07 to −0.01 z score) and general cognition (β=−0.09 z score; 95% CI , −0.15 to −0.03 z score). Similar results were observed for central pulse pressure . Conclusions Central arterial hemodynamics were associated with structural brain damage and poorer cognitive performance among older adults.

Objectives To examine the association between hospitalization, critical illness, and infection occurring during middle‐ and late‐life and structural brain abnormalities in older adults. Design Prospective cohort study. Setting Atherosclerosis Risk in Communities (ARIC) Study. Participants A community sample of adults who were 44 to 66 years of age at study baseline. Measurements Active surveillance of local hospitals and annual participant contact were used to gather hospitalization information (including International Classification of Diseases, Ninth Revision , codes) on all participants over a 24‐year surveillance period. Subsequently, a subset of participants underwent 3‐Tesla brain magnetic resonance imaging (MRI) to quantify total and regional brain volumes, white matter hyperintensity (WMH) volume, and white matter microstructural integrity (fractional anisotropy (FA) and mean diffusivity (MD) as measured using diffusion tensor imaging (DTI)). Results Of the 1,689 participants included (mean age at MRI 76±5), 72% were hospitalized, 14% had a major infection, and 4% had a critical illness during the surveillance period. Using covariate‐adjusted regression, hospitalization was associated with 0.12–standard deviation (SD) greater WMH volume (95% confidence interval (CI)=0.00–0.24) and poorer white matter microstructural integrity (0.17‐SD lower FA, 95% CI=–0.27 to –0.06; 0.16‐SD greater MD, 95% CI=0.07–0.25) than no hospitalization. There was a dose‐dependent relationship between number of hospitalizations, smaller brain volumes, and lower white matter integrity ( p ‐trends ≤.048). In hospitalized participants, critical illness was associated with smaller Alzheimer's disease (AD) signature region (–1.64 cm 3 , 95% CI=–3.16 to –0.12); major infection was associated with smaller AD signature region (–1.28 cm 3 , 95% CI=–2.21 to –0.35) and larger ventricular volume (3.79 cm 3 , 95% CI= 0.81–6.77). Conclusions Whereas all‐cause hospitalization was primarily associated with lower white matter integrity, critical illness and major infection were associated with smaller brain volume, particularly within regions implicated in AD.