background-image: url(./figs/logo.png) background-position: 5% 95% background-size: 35% class: center, middle ## Effect of incident stroke on the risk of dementia over a period of 10 years of follow-up in a cohort of Asian American and White older adults in California .pull.right[ L. Paloma Rojas-Saunero MD, PhD <br> Postdoctoral scholar <br> **Mayeda Research Group, Department of Epidemiology** ] --- ## Motivation - Several studies have shown that poststroke cognitive impairment (PSCI) is frequent, and a large percentage of stroke survivors do no fully recover from PSCI -- - Although there are several modifiable risk factors that can reduce both the risk of stroke and dementia, there is a need to understand in more depth the role of the acute vascular event in the predisposition for Alzheimer’s disease and related dementias. -- - Previous studies looking at the association between stroke - dementia had major limitations (used prevalent stroke, incident stroke as time-fixed, limited information on death as competing event -- - Very limited information on the effect for asian-american population --- ## Research question - What is the direct effect of incident stroke in the risk of dementia across different Asian American ethnicities and White populations, if we could have prevented death? (*Controlled direct effect*) - What is the total effect of incident stroke in the risk of dementia across different Asian American ethnicities and White populations? (*Total Effect*) --- ## Study population - **Study sample:** + KPNC members who participated on the California Men’s Health Study (CMHS) or the Kaiser Permanente Research Program on Genes, Environment and Health Survey (RPGEH) who self-identified as Asian Americans or white. -- - **Eligibility criteria:** + With no history of stroke at baseline (survey year) + With no history of dementia at baseline + From 60 to 89 years old at baseline + With information on ethnicity + With follow-up --- ## Study Design - **Exposure:** Incident stroke (ischemic stroke, hemorrhagic stroke) - **Outcome:** Incident dementia diagnosis (Alzheimer’s disease, vascular dementia, and non-specific dementia diagnosis) - **Time zero/Baseline:** Time of survey - **End of follow-up:** Time of dementia diagnosis, time of death prior to dementia diagnosis (competing event), time end of membership (censoring event) or turning 90 years old. - **Time-scale:** Years of follow-up --- ## Covariates .pull-left[ **Time-fixed covariates** - Nativity status - Educational attainment - Health status - Age at survey - Sex/gender - Smoking status ] -- .pull-right[ **Time-varying covariates** - Systolic blood pressure (median value/year) - BMI (median value/year) - Lipids - Incident diabetes - Incident hypertension - Incident myocardial infarction - Incident congestive heart failure - Incident cancer ] --- ## Statistical Analysis **Controlled direct effect** - IPTW for the probability of developing stroke at each time-point based on time-fixed and time-varying covariates. - IPCW for the probability of end of membership over follow-up (IPCWm). - IPCW for death over follow-up (IPCWd). This is to satisfy the independent censoring assumption between dementia and death. (_Controlled direct effect_) - Plug in IPTW x IPCWm x IPCWd in the Kaplan-Meier estimator - Calculate cumulative incidence of dementia, Risk ratio and Risk difference at 10 years. Bootstrap confidence intervals. --- ## Statistical Analysis **Total effect** - Plug in IPTW x IPCWm in the Aalen-Johannsen estimator - Calculate cumulative incidence of dementia, Risk ratio and Risk difference at 10 years. Bootstrap confidence intervals. --- ## Example .center[ <img src=./figs/cif_curves_filip.png width="100%"/> ] --- ## Covariates used for the models - IPTW: + FU yr (bspline), baseline age (bspline) + Baseline covariates: gender, nativity, education, general health, smoking status, prevalent acute myocardial infarction + Time-varying covariates: diabetes, hypertension, incidence acute myocardial infarction, congestive heart failure, peripheral vascular disease, BMI, SBP -- - IPCWd: Death weights. + Same variables as IPTW and t-v stroke indicator -- - IPCWm: End of membership weights + Survey age, education, and general health --- ## Results .center[ <img src=./figs/stroke_counts.png width="80%"/> ] --- ### Direct effect of stroke on the risk of dementia .center[ <img src=./figs/rr_de.png width="80%"/> ] --- ### Direct effect of stroke on the risk of dementia .center[ <img src=./figs/rd_de.png width="80%"/> ] --- ### Total effect of stroke on the risk of dementia .center[ <img src=./figs/rr_te.png width="80%"/> ] --- ### Total effect of stroke on the risk of dementia .center[ <img src=./figs/rd_te.png width="80%"/> ] --- ### Weights assessment - IPTW for Chinese population .center[ <img src=./figs/iptw_chi.png width="95%"/> ] --- ### Weights assessment - IPCW for Chinese population .center[ <img src=./figs/ipcw_chi.png width="95%"/> ] --- ## Take-aways - The incidence of stroke is large across all Asian-American ethnicities and in the White population. -- - There is a large effect of stroke on the risk of dementia if we treat death as a censoring event (_as if we could have prevented it_). -- - There are several factors that could explain the heterogeneity of the effects across subgroups. --- ## Discussion points - Because we use use discrete time in the analysis, this results in rounding and we loose events. Suggestions for sensitivity analysis? -- - How can we prevent the potential reverse causation of those who have a dementia diagnosis very close to the stroke event? -- - Smaller time-frame to look at stroke? What would be a reasonable time-frame with the trade off of loosing outcomes? --- ## Funding This work was supported by NIA R01AG063969, "Alzheimer's disease and related dementias in a diverse cohort of Asian Americans". --- class: center, middle ### Thank you, Gracias!
</i> lp.rojassaunero@ucla.edu</a><br>
<a href="http://twitter.com/palolili23"> </i> @palolili23</a><br>
<a href="https://github.com/palolili23"> </i> @palolili23</a><br> --- class: center, middle 