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Kucharska‐Newton, Anna

https://orcid.org/0000-0001-9864-467X

Mayo Clinic

University of North Carolina at Chapel Hill

Citations 30

Arterial stiffness and risk of dementia in late life: The ARIC neurocognitive study
Barbee, Jenna , Wei, Jingkai , Tanaka, Hirofumi, Knopman, David S., Kucharska‐Newton, Anna, Sharrett, A. Richey, Hughes, Timothy M. , Matsushita, Kunihiro, Meyer, Michelle L., Palta, Priya, Pike, James Russell , Knopman, David S. , Kucharska‐Newton, Anna , Matsushita, Kunihiro , Mosley, Thomas H. , Meyer, Michelle L.

Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring | August 7, 2026 | Volume: 18 | Issue: 3 | Pages: No page available

10.1002/dad2.70427 Get It

Abstract INTRODUCTION Associations of arterial stiffness, measured through pulse wave velocity (PWV), with incident dementia may be driven by age‐related structural changes to the arterial wall or by elevated blood pressure. METHODS Dementia‐free White or Black participants in the community‐based Atherosclerosis Risk in Communities (ARIC) cohort study with measures of PWV were examined. The associations of carotid‐femoral PWV (cfPWV) and total, structural, and load‐dependent PWV with dementia were estimated using Poisson regression models and Cox proportional hazards models. Dementia cases were defined by physician‐adjudicated review, telephone interviews, hospitalization records, and death certificates. RESULTS Of 4818 participants included in the study population (mean age: 75 years; 41% male, 21% Black), 1067 (22%) developed dementia over a median follow‐up of 9.0 years. Higher cfPWV, total PWV, structural PWV, and load‐dependent PWV were associated with greater dementia risk. DISCUSSION Both structural and pressure‐related arterial stiffness mechanisms may underlie the link between PWV and dementia.
Developing a novel algorithm to identify incident and prevalent dementia in Medicare claims—the ARIC Study
Wang, Tiansheng , Pate, Virginia , Kim, Dae Hyun , Power, Melinda C. , Garden, Gwenn A. , Palta, Priya, Knopman, David S. , Jonson‐Funk, Michelle , Kucharska‐Newton, Anna , Knopman, David S. , Garden, Gwenn , Palta, Priya , Stürmer, Til , Kucharska-Newton, Anna M , Kim, Dae Hyun

American Journal of Epidemiology | August 1, 2025 | Volume: 194 | Issue: 12 | Pages: 3537-3548

10.1093/aje/kwaf166 Get It

Abstract There is an urgent need to improve dementia ascertainment robustness in real-world studies assessing drug effects on dementia risk. We developed algorithms to dementia identification algorithms using Medicare claims (inpatient/outpatient/prescription) from 3318 Visit 5 (2011-2013) and 1828 Visit 6 (2016-2017) participants of the Atherosclerosis Risk in Communities (ARIC) Study, validated against ARIC's rigorous syndromic dementia classification. Algorithm performance was compared to existing algorithms (Jain, Bynum, Lee). We further evaluated algorithms effectiveness in a 20% random Medicare sample aged ≥70 years who initiating liraglutide or dipeptidyl peptidase 4 inhibitors (DPP4i) to assess 3-year adjusted risk difference (aRD) for dementia. Our incident dementia algorithm required two dementia diagnostic codes within 1-year, or one dementia code plus a new dementia prescription within 90 days. It achieved a positive predictive value (PPV) of 69.2%, specificity of 99.0%, and sensitivity of 34.6% (population prevalence: 8.8%), comparable to extant algorithms (PPV, 58.7–68.6%; sensitivity 25.5–40.4%). Prevalent dementia algorithm (without requiring incident diagnoses/prescriptions) demonstrated similar performance. In the Medicare sample, dementia risk ranged from 3.0% to 12.5%, aRD comparing liraglutide to DPP4i varied −1.2% to −3.6%, with our algorithm closely matching the Bynum algorithm. Algorithm selection significantly impacts treatment effect estimates, highlighting its importance in in pharmacoepidemiologic research.
Self-Reported Resilience During the COVID-19 Pandemic
Ogungbe, Oluwabunmi , Wang, Tianyou , Meyer, Diane , Stukovsky, Karen Hinckley , Kucharska‐Newton, Anna , Gabriel, Kelley Pettee , Regan, Elizabeth A., Talavera, Gregory, Sims, Mario , Contreras, Jose Gutierrez, Kandula, Namratha R. , Lee, Joyce , Woodruff, Prescott G. , Ortega, Victor E. , Fretts, Amanda M. , Putcha, Nirupama , Hansel, Nadia N. , Oelsner, Elizabeth C. , Oelsner, Elizabeth C , Kucharska-Newton, Anna M , Lee, Joyce S , Balte, Pallavi , Slone, Sarah , Allen, Norrina B. , Buhr, Russell G. , Hirsch, Jana A. , Xanthakis, Vanessa , Isasi, Carmen R. , Daviglus, Martha , Perreira, Krista M. , Contreras, Jose Gutierrez, Howard, Virginia J. , Judd, Suzanne E. , Wenzel, Sally E. , Phipatanakul, Wanda , Post, Wendy S.

JAMA Network Open | July 16, 2025 | Volume: 8 | Issue: 7 | Pages: e2520360

10.1001/jamanetworkopen.2025.20360 Get It

ImportanceIdentifying factors associated with resilience during the COVID-19 pandemic can inform targeted interventions and resource allocation for groups disproportionately affected by systemic inequities.ObjectiveTo examine factors associated with self-reported resilience during the COVID-19 pandemic in racially and ethnically diverse, community-dwelling US adults.Design, Setting, and ParticipantsThis cross-sectional study was conducted as part of the Collaborative Cohort of Cohorts for COVID-19 Research (C4R) study, which assessed the associations of the pandemic with self-reported resilience of participants from 14 established US prospective cohorts since January 2021. This report includes participants who responded to the self-reported resilience question on C4R questionnaires. Data was initially analyzed from October 2023 to May 2024, with updated analyses performed from August 2024 to April 2025.ExposureRace and ethnicity, behavior factors, health conditions, and social determinants of health measurements accessed before and during the COVID-19 pandemic through cohort visits and C4R questionnaires.Main Outcomes and MeasuresSelf-reported resilience was collected via 1 question (from the Brief Resilience Scale) in C4R questionnaires, “I tend to bounce back quickly after hard times.” Participants who answered agree or strongly agree were classified as resilient, and those who reported neutral, disagree, or strongly disagree were classified as not resilient. Modified Poisson regression was performed to estimate prevalence ratios (PRs) and access multivariable-adjusted associations with resilience.ResultsOf 31 045 participants (18 672 [60%] women; 10 746 [34.6%] aged <65 years), 1185 (3.8%) identified as American Indian, 6728 (21.7%) as Black, 293 (0.9%) as East Asian, 6311 (20.3%) as Hispanic, 565 (1.8%) as South Asian, and 15 961 (51.3%) as White; a total of 23 103 participants (74.4%) self-identified as resilient. Compared with White participants, Black and Hispanic participants had higher prevalence of self-reported resilience (adjusted PR [aPR], 1.04; 95% CI, 1.02-1.06; aPR, 1.08; 95% CI, 1.06-1.11; respectively) and American Indian and East Asian participants had lower prevalence (aPR, 0.90; 95% CI, 0.86-0.94; aPR, 0.76; 95% CI, 0.68-0.84; respectively). Higher education, being married or living as married, higher income, and overweight were also associated with higher prevalence of resilience. Being female, having diabetes, and being unemployed were associated with lower prevalence of self-reported resilience. Compared with participants with public insurance only, participants with private insurance had higher prevalence of resilience (aPR, 1.07; 95% CI, 1.03-1.10). COVID-19 vaccination and infection statuses were not significantly associated with resilience. Modification analyses showed important racial and ethnic differences in how factors such as hypertension, marital status, and insurance status were associated with resilience.Conclusions and RelevanceIn this cross-sectional study of 31 045 adults, self-reported resilience varied by race, ethnicity, and sociodemographic factors. These findings highlight the complex interplay of individual and social factors in shaping the perception of resilience.
COVID-19 and Cognitive Change in a Community-Based Cohort
Pike, James Russell , Sun, Yifei , Wu, Christina , Suchy‐Dicey, Astrid M. , Elkind, Mitchell S.V., Kucharska‐Newton, Anna , Levine, Deb, Lutsey, Pamela L. , Mosley, Thomas H. , Palta, Priya, Coresh, Josef, Oelsner, Elizabeth C. , Lutsey, Pamela L , Pike, James R , Oelsner, Elizabeth C , Kucharska-Newton, Anna M , Demmer, Ryan T. , Cornelius, Talea M. , Kraal, A. Zarina , Balte, Pallavi , Wu, Chaoqi, Allen, Norrina B. , Cushman, Mary , Howard, Virginia J. , Manly, Jennifer J. , Power, Melinda C. , Seshadri, Sudha , Tracy, Russell P. , Walker, Keenan A.

JAMA Network Open | June 30, 2025 | Volume: 8 | Issue: 6 | Pages: e2518648

10.1001/jamanetworkopen.2025.18648 Get It

Importance SARS-CoV-2 infection has been linked to neurotoxic effects and cognitive deficits. Objective To determine whether decreases in cognitive function were accelerated after SARS-CoV-2 infection compared with individuals not infected. Design, Setting, and Participants Multicenter, prospective cohort study from 2016 to 2022 among 3525 participants alive on March 1, 2020, and enrolled in The Atherosclerosis Risk in Communities (ARIC) study and the Collaborative Cohort of Cohorts for COVID-19 Research study who completed a prepandemic cognitive assessment and a pandemic-era assessment of SARS-CoV-2 infection. Final analyses performed in November 2024. Exposure SARS-CoV-2 infection determined via self-report of a positive SARS-CoV-2 test or health care professional diagnosis of COVID-19, a positive SARS-CoV-2 antinucleocapsid antibody response, or presence of an administrative code for COVID-19 on medical records. Main outcomes and measures A neuropsychological battery assessed multiple cognitive domains, and a cocalibrated confirmatory factor analysis generated factor scores for global cognitive function. The primary outcome was the rate of excess change in cognitive function. Results The 3525 eligible participants had a mean (SD) age of 80.8 (4.7) years, 2085 (59.1%) were female, 752 (21.4%) were Black, and 2773 (78.6%) were White. SARS-CoV-2 infection was detected among 307 participants (8.7%), 103 of whom (33.6%) were hospitalized. Among uninfected participants, the mean annualized change in cognitive function was −0.09 (95% CI, −0.13 to −0.04). Compared with this rate, change was faster (β = −0.06; 95% CI, −0.09 to −0.02) among participants hospitalized for infection, but not different from participants who were infected but not hospitalized (β = 0.00; 95% CI, −0.02 to 0.03). The association among participants hospitalized for infection was evident in the cognitive domains of memory and executive function, but not language. Conclusions and relevance This cohort study of older participants found accelerated decreases in cognition among individuals hospitalized for SARS-CoV-2 infection, but not nonhospitalized infection, in comparison with individuals not yet infected.
Differences in COVID-19 Vaccination Behaviors Among Adults With Versus Without Chronic Lower Respiratory Diseases: The C4R Study
Lawin, K., Norwood, Arnita F. , Stukovsky, Karen Hinckley , Elkind, Mitchell S, Ortega, Victor E. , Lopez, Victor , Zhang, Ying , Fretts, Amanda M. , Oelsner, Elizabeth C. , Oelsner, Elizabeth C , Wang, Timothy C. , Lawin, K., Kucharska‐Newton, Anna , Demmer, Ryan T. , Jacobs, David R. , Regan, Elizabeth Anne , Lee, Joyce , Xanthakis, Vanessa , Isasi, Carmen R. , Kanaya, Alka M , Post, Wendy S. , Howard, Virginia J. , Lopez, V., Balte, Pallavi

American Journal of Respiratory and Critical Care Medicine | May 11, 2025 | Volume: 211 | Issue: Supplement_1 | Pages: A7464-A7464

10.1164/ajrccm.2025.211.abstracts.a7464 Get It

Abstract RATIONALE: Chronic lower respiratory diseases (CLRD) confer higher risks from respiratory viral infections, hence CLRD patients are prioritized for influenza, pneumococcal, and COVID-19 vaccination. Nonetheless, vaccine deferral and declination remain common. Given that COVID-19 vaccination is particularly polarizing, and attitudes toward it may differ from other vaccines, we assessed COVID-19 vaccination behaviors and attitudes in adults with versus without CLRD and/or smoking history, which is strongly associated with CLRD risk. METHODS: We pooled data from 10 cohorts participating in the Collaborative Cohort of Cohorts for COVID-19 Research (C4R) that collected pre-pandemic data on self-reported physician diagnosis of asthma or COPD. C4R assessed COVID-19 vaccination status through three waves of standardized questionnaires (2020-2022, 2021-2023, 2023-2024). Prompt COVID-19 vaccination was defined as self-report of receiving at least one COVID-19 vaccine by May 1, 2021. Cumulative COVID-19 vaccine count was self-reported on the Wave 3 Questionnaire. Vaccine attitudes and receipt of influenza and/or pneumococcal vaccines were self-reported on the Wave 1 or 2 Questionnaire. Age-adjusted Poisson regression was used to test associations of vaccination behaviors with CLRD and smoking status at the most recent pre-pandemic exam. RESULTS: Of 20,034 participants (pre-pandemic COPD, 9.3%; asthma, 11.7%; current smoking, 13.4%; former smoking, 36.3%), 64.2% reported prompt COVID-19 vaccination. Among the subset of 10,626 participants completing the Wave 3 Questionnaire in 2023-24, the median COVID-19 vaccine count was 3 (Q1:2, Q3:4). Compared to participants without CLRD, prompt vaccination was more likely in those with asthma (RR=1.04, 95%CI:1.01-1.07, p=0.008) and less likely with COPD (RR=0.94, 95%CI:0.91-0.98, p=0.001), but there were no differences in doses for asthma and COPD. Compared to never smokers, former smoking participants were more likely to receive prompt vaccination (RR=1.11, 95%CI:1.08-1.13, p<0.0001) and more vaccine doses (RR=1.03, 95%CI:1.01-1.05, p=0.015); conversely, current smoking was inversely associated with prompt vaccination (RR=0.94, 95%CI:0.91-0.97, p=0.001) and was associated with fewer doses (RR=0.93, 95%CI:0.89-0.96, p<0.0001). Participants with CLRD versus without CLRD were more likely to report receiving influenza and pneumococcal vaccines, but they were more likely to believe that vaccines are unsafe or ineffective (figure). CONCLUSIONS: COPD was associated with lower likelihood of prompt COVID-19 vaccination. Current smoking was associated with both lower likelihood of prompt COVID-19 vaccination and a lower number of COVID-19 vaccine doses by 2023-24. These associations may be partly attributed to negative vaccine attitudes and beliefs. How the COVID-19 pandemic may have influenced vaccine behaviors and attitudes merits additional study.
Socio-demographic and Clinical Factors Associated With COVID-19 Vaccine Uptake Among Multiethnic US Adults: The C4R Study
Lawin, K., Norwood, Arnita F. , Stukovsky, Karen Hinckley , Elkind, Mitchell S, Ortega, Victor E. , Zhang, Ying , Fretts, Amanda M. , Oelsner, Elizabeth C. , Oelsner, Elizabeth C , Lawin, K., Wang, Timothy C. , Kucharska‐Newton, Anna , Demmer, Ryan T. , Jacobs, David R. , Regan, Elizabeth Anne , Lee, Joyce , Xanthakis, Vanessa , Isasi, Carmen R. , Kanaya, Alka M , Post, Wendy S. , Howard, Virginia J. , Lopez, V.

American Journal of Respiratory and Critical Care Medicine | May 11, 2025 | Volume: 211 | Issue: Supplement_1 | Pages: A7070-A7070

10.1164/ajrccm.2025.211.abstracts.a7070 Get It

Abstract RATIONALE: Deferral and declination of the COVID-19 vaccine is correlated with many factors, including different health guidelines and difficulties accessing the vaccine. In the US, COVID-19 vaccines were made available in tranches of clinical risk starting in December 2020 and were available to all adults on April 19, 2021. In the post-pandemic period, repeating COVID-19 vaccination with updated formulations is broadly recommended. Given that the public health impact of vaccine allocation strategies depends on public acceptance of vaccination, we aimed to evaluate demographic, clinical and social correlates of (1) receiving at least one COVID-19 vaccine by May 1, 2021 (prompt vaccination) and (2) the total number of vaccine doses received (vaccine count) through 2023-2024. METHODS: The Collaborative Cohort of Cohorts for COVID-19 Research (C4R) is a prospective observational meta-cohort study comprising 14 extant NIH-funded population-based cohorts. C4R assessed COVID-19 vaccination using three waves of standardized questionnaires (2020-2021, 2021-2023, 2023-2024). Prompt vaccination was defined by participant self-report of vaccination before May 1, 2021; participants vaccinated after May1, 2021 were classified as non-prompt; participants with missing vaccination information were excluded. Vaccine count was defined by self-report on the 2023-2024 wave Questionnaire. Demographic, clinical and social factors were classified by self-report and/or objective measures from the most recent pre-pandemic cohort exam. Poisson models regressed either prompt vaccination or vaccine count on pre-pandemic factors. RESULTS: Of 17,866 participants (mean age, 6713 years; 60.1% female; 42.1% non-Hispanic White, 22.0% Black, 28.9% Hispanic/Latino, 3.4% American Indian, 2.3% South Asian, 1.4% East Asian), 11,481 (64.3%) reported prompt vaccination. Of the subset of 14,529 participants completing the Wave 3 questionnaire, the median vaccine count in 2023-24 was 3 (Q1, 2; Q3 4). Likelihood of prompt vaccination was higher with greater age, income, and education and with history of diabetes and hypertension; prompt vaccination was less likely with male sex, current smoking, and non-White race and ethnicity (table). Similar associations were observed with respect to vaccine count (table). CONCLUSIONS: In a diverse C4R cohort community-based sample, earlier and greater COVID-19 vaccination was associated with older age and several clinical comorbidities; in contrast, later and lesser vaccine uptake was observed among historically marginalized groups. Whether disparities in COVID-19 vaccination could contribute to disparities in post-COVID-19 conditions merits further investigation.
The Modifying Effects of Sex, Race, and Social Relationships on the Association between White Matter Integrity and Dementia Risk: The Atherosclerosis Risk in Communities (ARIC) Neurocognitive Study
Eswaran, Surabhee, Gottesman, Rebecca F., Liu, Albert C. , Palta, Priya, Sharrett, A. Richey, Groechel, Renee, Knopman, David S. , Koton, Silvia , Kucharska‐Newton, Anna , Liu, Chelsea , Lutsey, Pamela L. , Mosley, Thomas H. , Sullivan, Kevin , Walker, Keenan A. , Groechel, Renée C.

Alzheimer's & Dementia | January 9, 2025 | Volume: 20 | Issue: S7 | Pages: No page available

10.1002/alz.087094 Get It

AbstractBackgroundWeakened white matter (WM) integrity is highly associated with dementia risk. Still, not everyone with WM changes develops dementia, suggesting the important role modifiable lifestyle factors may have in reducing dementia risk. We investigated how social relationships in mid‐life may modify the association between WM integrity and incident dementia risk within race and sex subgroups.MethodIn 1,679 Atherosclerosis Risk in Community (ARIC) study participants who were dementia‐free in mid‐life, psychosocial health was assessed via self‐reported questionnaires and participants were classified as having strong or poor social relationships in mid‐life (visit 2: 1990‐1992). Through diffusion tensor imaging, WM integrity was evaluated with 3T brain MRI (visit 5: 2011 – 2013); fractional anisotropy (FA) and mean diffusivity (MD) were estimated. Incident dementia cases were identified from visit 5 through December 31, 2019, with ongoing surveillance. Relative contributions of social relationships and WM integrity to incident dementia were evaluated in Cox‐proportional hazard regression models with race and race‐sex as interaction terms, and in stratified models (White Females, Black Females, White Males, Black Males).ResultSignificant three‐way interactions were observed between race, WM integrity, and mid‐life social relationships (p‐interaction<0.01). In Black participants with strong mid‐life social relationships, higher MD (hazard ratio (HR): 0.93, 95% CI: 0.63 – 1.38) and lower FA (HR: 1.25, 95% CI: 0.84 – 1.86) were not associated with the risk of dementia, although in Black participants with poor social relationships, higher MD remained a significant risk factor for dementia. However, across all White participants, higher MD and lower FA were associated with the risk of dementia, regardless of mid‐life social relationships (Table 1; Figure 1). Analysis of three‐way interactions between race‐sex, WM integrity, and mid‐life social relationships suggested that effect modification by mid‐life social relationships was most evident in Black Females, respective to other groups (Table 2; Figure 1).ConclusionThe contribution of WM integrity to dementia risk may be lower in Black participants with strong social relationships in mid‐life, particularly in Black Females. Further understanding of how contextual social factors may influence brain health in diverse populations should be examined in future studies and intervention efforts.
The Modifying Effects of Sex, Race, and Social Relationships on the Association between White Matter Integrity and Dementia Risk: The Atherosclerosis Risk in Communities (ARIC) Neurocognitive Study
Eswaran, Surabhee, Liu, Albert C. , Palta, Priya, Sharrett, A. Richey , Groechel, Renee, Gottesman, Rebecca F. , Knopman, David S. , Koton, Silvia , Kucharska‐Newton, Anna , Liu, Chelsea , Lutsey, Pamela L. , Mosley, Thomas H. , Sullivan, Kevin , Walker, Keenan A. , Groechel, Renée C.

Alzheimer's & Dementia | January 9, 2025 | Volume: 20 | Issue: S9 | Pages: No page available

10.1002/alz.093711 Get It

AbstractBackgroundWeakened white matter (WM) integrity is highly associated with dementia risk. Still, not everyone with WM changes develops dementia, suggesting the important role modifiable lifestyle factors may have in reducing dementia risk. We investigated how social relationships in mid‐life may modify the association between WM integrity and incident dementia risk within race and sex subgroups.MethodIn 1,679 Atherosclerosis Risk in Community (ARIC) study participants who were dementia‐free in mid‐life, psychosocial health was assessed via self‐reported questionnaires and participants were classified as having strong or poor social relationships in mid‐life (visit 2: 1990‐1992). Through diffusion tensor imaging, WM integrity was evaluated with 3T brain MRI (visit 5: 2011 – 2013); fractional anisotropy (FA) and mean diffusivity (MD) were estimated. Incident dementia cases were identified from visit 5 through December 31, 2019, with ongoing surveillance. Relative contributions of social relationships and WM integrity to incident dementia were evaluated in Cox‐proportional hazard regression models with race and race‐sex as interaction terms, and in stratified models (White Females, Black Females, White Males, Black Males).ResultSignificant three‐way interactions were observed between race, WM integrity, and mid‐life social relationships (p‐interaction<0.01). In Black participants with strong mid‐life social relationships, higher MD (hazard ratio (HR): 0.93, 95% CI: 0.63 – 1.38) and lower FA (HR: 1.25, 95% CI: 0.84 – 1.86) were not associated with the risk of dementia, although in Black participants with poor social relationships, higher MD remained a significant risk factor for dementia. However, across all White participants, higher MD and lower FA were associated with the risk of dementia, regardless of mid‐life social relationships (Table 1; Figure 1). Analysis of three‐way interactions between race‐sex, WM integrity, and mid‐life social relationships suggested that effect modification by mid‐life social relationships was most evident in Black Females, respective to other groups (Table 2; Figure 1).ConclusionThe contribution of WM integrity to dementia risk may be lower in Black participants with strong social relationships in mid‐life, particularly in Black Females. Further understanding of how contextual social factors may influence brain health in diverse populations should be examined in future studies and intervention efforts.
Developing a novel claim‐based algorithm to identify incident and prevalent dementia using Medicare claims of the Atherosclerosis Risk in Communities (ARIC) cohort
Pate, Virginia , Palta, Priya, Jonson‐Funk, Michelle , Wang, Tiansheng , Kim, Dae Hyun , Power, Melinda C. , Garden, Gwenn A. , Knopman, David S. , Stürmer, Til , Kucharska‐Newton, Anna

Alzheimer's & Dementia | January 9, 2025 | Volume: 20 | Issue: S6 | Pages: No page available

10.1002/alz.089988 Get It

AbstractBackgroundPharmacoepidemiologic studies assessing drug effectiveness for Alzheimer’s disease and related dementias (ADRD) are increasingly popular given the critical need for effective therapies for ADRD. To meet the urgent need for robust dementia ascertainment from real‐world data, we aimed to develop a novel algorithm for identifying incident and prevalent dementia in claims.MethodWe developed algorithm candidates by different timing/frequency of dementia diagnosis/treatment to identify dementia from inpatient/outpatient/prescription claims for 6,515 and 3,997 participants from Visits 5 (2011‐2013; mean age 75.8 (SD 5.3) years) and 6 (2016‐2017; mean age 79.8 (SD 4.8) years) of the ARIC cohort with ≥ 1‐year continuous Medicare Part A & B enrollment prior to each visit. We evaluated algorithm performance (sensitivity/specificity/positive predictive value (PPV)/negative predictive value (NPV)) against the gold standard of the ARIC dementia classification based on an extensive battery of neurocognitive tests administered at each visit. We compared performance of the new algorithm with that of three existing algorithms (Jain, Bynum, Lee) and their relaxed forms (4‐year window, dementia diagnosis plus a depression diagnosis or dementia evaluation procedure, ignoring code position) to identify incident (n = 90 at V6) and prevalent dementia (n = 190 at V5; n = 160 at V6).ResultThe newly developed primary algorithm requires presence of a dementia diagnosis code followed by another diagnosis code within 1 year (under condition that the following non‐specific ICD‐9 diagnostic codes, 290.40, 290.41, 290.11, 290.3, should appear no more than once), or a subsequent dementia treatment prescription within 90 days (requiring Medicare Part D enrollment ≥ 6 months). The PPV of the new algorithm in the identification of incident dementia was PPV of 72.7%, with a specificity of 99.1%, outperforming existing algorithms. Its sensitivity of 38.7% and NPV of 96.2% were comparable to those achieved by existing algorithms. Sensitivity analysis restricting to ICD‐10 diagnostic codes increased the PPV and attenuated its sensitivity by 6%. Similar comparative performance was observed in the identification of prevalent dementia.ConclusionA novel algorithm for identifying dementia from Medicare claims, developed using linked ARIC‐Medicare data, outperforms previous algorithms and stands as a valuable tool in the assessment of ADRD drugs from real‐world data.
Psychosocial Health and the Association Between Cerebral Small Vessel Disease Markers With Dementia: The ARIC Study
Eswaran, Surabhee, Knopman, David S. , Koton, Silvia , Kucharska‐Newton, Anna , Liu, Albert C. , Liu, Chelsea , Lutsey, Pamela L. , Mosley, Thomas H. , Palta, Priya, Sharrett, A. Richey , Sullivan, Kevin , Groechel, Renée C. , Mosley, Thomas H. , Knopman, David S. , Kucharska-Newton, Anna M , Sullivan, Kevin J , Walker, Keenan A , Gottesman, Rebecca F , Groechel, Renee C , Lutsey, Pamela L , Walker, Keenan A. , Gottesman, Rebecca F.

Stroke | August 28, 2024 | Volume: 55 | Issue: 10 | Pages: 2449-2458

10.1161/strokeaha.124.047455 Get It

BACKGROUND: Associations between magnetic resonance imaging markers of cerebral small vessel disease (CSVD) and dementia risk in older adults have been established, but it remains unclear how lifestyle factors, including psychosocial health, may modify this association. METHODS: Social support and social isolation were assessed among participants of the community-based ARIC (Atherosclerosis Risk in Communities) Study, via self-reported questionnaires (1990–1992). Following categorization of both factors, participants were classified as having strong or poor mid-life social relationships. At visit 5 (2011–2013), participants underwent 3T brain magnetic resonance imaging quantifying CSVD measures: white matter hyperintensity volume, microbleeds (subcortical), infarcts (lacunar), and white matter integrity (diffusion tensor imaging). Incident dementia cases were identified from the time of imaging through December 31, 2020 with ongoing surveillance. Associations between CSVD magnetic resonance imaging markers and incident dementia were evaluated using Cox proportional-hazard regressions adjusted for demographic and additional risk factors (from visit 2). Effect modification by mid-life social relationships was evaluated. RESULTS: Of the 1977 participants with magnetic resonance imaging, 1617 participants (60.7% women; 26.5% Black participants; mean age at visit 2, 55.4 years) were examined. In this sample, mid-life social relationships significantly modified the association between white matter hyperintensity volume and dementia risk ( P interaction=0.001). Greater white matter hyperintensity volume was significantly associated with risk of dementia in all participants, yet, more substantially in those with poor (hazard ratio, 1.84 [95% CI, 1.49–2.27]) versus strong (hazard ratio, 1.26 [95% CI, 1.08–1.47]) mid-life social relationships. Although not statistically significant, subcortical microbleeds in participants with poor mid-life social relationships were associated with a greater risk of dementia, relative to those with strong social relationships, in whom subcortical microbleeds were no longer associated with elevated dementia risk. CONCLUSIONS: The elevated risk of dementia associated with CSVD may be reduced in participants with strong mid-life social relationships. Future studies evaluating psychosocial health through the life course and the mechanisms by which they modify the relationship between CSVD and dementia are needed.