We recently found an association between androgen deprivation therapy (ADT) and Alzheimer’s disease. As Alzheimer’s disease is a disease of advanced age, we hypothesize that older individuals on ADT may be at greatest risk. We conducted a retrospective multi-institutional analysis among 16,888 individuals with prostate cancer using an informatics approach. We tested the effect of ADT on Alzheimer’s disease using Kaplan–Meier age stratified analyses in a propensity score matched cohort. We found a lower cumulative probability of remaining Alzheimer’s disease-free between non-ADT users age ≥70 versus those age <70 years (p < 0.001) and between ADT versus non-ADT users ≥70 years (p = 0.034). The 5-year probability of developing Alzheimer’s disease was 2.9%, 1.9% and 0.5% among ADT users ≥70, non-ADT users ≥70 and individuals <70 years, respectively. Compared to younger individuals older men on ADT may have the greatest absolute Alzheimer’s disease risk. Future work should investigate the ADT Alzheimer’s disease association in advanced age populations given the greater potential clinical impact.
Prostate cancer is diagnosed in over 1 million patients each year1. Androgen deprivation therapy (ADT) is a mainstay of treatment for men with unfavorable and advanced prostate cancer2 with over 50% of prostate cancer patients in industrialized nations utilizing ADT3. Importantly, ADT has been associated with both improved overall survival and increased adverse health effects4,5 with emerging data indicating a detrimental impact on neurocognitive function6.
We previously demonstrated an association between ADT and Alzheimer’s disease7. In this study we found a large relative increased risk of Alzheimer’s disease among ADT users. Currently, it is unclear among which groups this association may have the greatest clinical significance8. Given that Alzheimer’s disease is a disease of older age, and that ADT is unlikely sufficient to cause Alzheimer’s disease in isolation, we hypothesize that ADT may have a larger absolute impact on Alzheimer’s disease risk among older patients. Here we utilize an informatics approach to analyze electronic medical data in over 5 million patients to examine the impact of age on the association of ADT with Alzheimer’s disease.
Materials and Methods
We used a validated text-processing pipeline to analyze electronic medical record data at Stanford University and Mount Sinai hospitals with study characteristics previously described7. Both data sources were accessed under approved institutional review board protocols. Access to Mt. Sinai data was obtained via an institutional research agreement. The institutional review board waived the requirement for patient consent as the data mining studies were deemed not to involve human participants.
Briefly, individuals with prostate cancer and follow-up ≥180 days after diagnosis were eligible. Prostate cancer was defined as (1) ICD-9 code (185), (2) billing code for radical prostatectomy (ICD-9 60.5 or CPT code 55810–55815, 55840–55845) plus either ADT use (in medication lists or clinical text) or clinical text evidence of prostate cancer diagnosis, or (3) clinical text evidence of prostate cancer diagnosis and ADT use (in medication lists or clinical text). The use of ADT was defined using data from clinical notes and medication lists including pharmacy orders.
Those with a history of dementia, stroke or chemotherapy use were excluded. Covariates were age at prostate cancer diagnosis, race, smoking status, use of anti-platelet, anti-coagulant, anti-hypertensive and statin medications, and a history of cardiovascular disease, diabetes or malignancy. Variables were defined using ICD-9 diagnostic codes, CPT codes, medications lists and clinical text7.
We examined the impact of ADT on Alzheimer’s disease stratified by age at diagnosis. Age 70 years was selected as the cut-off given existing management guidelines for cancer patients older than 70 regarding assessment for age appropriate intervention9. There was insufficient power to examine the association of ADT and Alzheimer’s disease in the <70 years subgroup given 9,112 non-ADT users with 35 Alzheimer’s disease cases and 1,105 ADT users with 3 Alzheimer’s disease cases, which allows a detectable hazard ratio (HR) ≥4.3.
Patient characteristics were compared using a t-test or chi-squared test. Hazard ratios were calculated using 1:5 propensity score matched and traditional multivariable adjusted Cox proportional hazards models to test the effect of use versus non-use of ADT, and ADT duration (no-ADT, <12 months, ≥12 months), on risk of Alzheimer’s disease. Proportional-hazards assumptions were evaluated by Schoenfeld’s residuals tests. Kaplan–Meier curves were compared among individuals <70 years, non-ADT users ≥70 years, and ADT users ≥70 years in the full and propensity score matched cohorts using log-rank and Cox tests for equality, respectively. A test for interaction was conducted between age and ADT using the Wald test. We additionally calculated the cumulative probability of developing Alzheimer’s disease at 5-years using the Kaplan-Meier method in the age-stratified propensity score matched cohort.
A 2-sided p-value < 0.05 was considered significant. Analyses were performed using Stata version 12.0 (StataCorp, College Station, TX) and R version 3.2 (R Foundation for Statistical Computing, Vienna, Austria).
Baseline patient characteristics are shown in Table 1. No statistically significant differences existed between ADT and non-ADT users ≥70 years in the propensity score matched cohort. The median follow-up period was 2.7 years (interquartile range [IQR], 1.0–5.4 years). The median time to the diagnosis of Alzheimer’s disease was 4.0 years (IQR, 2.0 to 7.4 years).
Kaplan-Meier curves (Fig. 1) demonstrated a lower cumulative probability of remaining Alzheimer’s disease-free between those age ≥70 years without ADT use versus those age <70 years (p < 0.001) and between ADT users ≥70 years versus non-ADT users ≥70 years (p = 0.034) in the propensity score matched cohort. The cumulative probability of developing Alzheimer’s disease at 5-years was 2.9%, 1.9% and 0.5% among ADT users ≥70 years, non-ADT users ≥70 years and individuals <70 years of age, respectively. There was a statistically significant association between ADT use and Alzheimer’s disease among those ≥70 years using propensity score matched (HR = 1.84; 95% confidence interval [CI], 1.07–3.17; p = 0.027) and traditional multivariable adjusted Cox regression analysis (HR = 2.04; 95% CI, 1.23–3.40; p = 0.006). Among individuals ≥70 years, a longer duration of ADT was associated with a greater risk of Alzheimer’s disease (HR = 1.41; 95% CI 1.01–1.96, p = 0.043). We did not find evidence of an interaction between ADT use and age (Wald 0.08, p = 0.782).
Using an informatics approach we find that, compared to younger individuals, men aged 70 years or older on ADT have a clinically significant increase in absolute Alzheimer’s disease risk. We support this finding using both multivariable adjusted and propensity score matched models in a large cohort of individuals. This further supports the association between ADT and cognitive dysfunction and suggests that older men may be most susceptible and a particular high-risk subgroup deserving further investigation6,7.
Multiple studies now demonstrate an association between ADT and neurocognitive dysfunction6,7,10. The association of ADT and Alzheimer’s disease is supported by a number of plausible biologic mechanisms including through augmentation of β-amyloid protein levels11, interaction with the Apolipoprotein E gene12, a direct neuropathic effect13 and an increase in cardiometabolic disease5,14. If ADT is truly causally associated with Alzheimer’s disease it likely contributes within a multifactorial etiology. Given that age is the strongest risk factor for Alzheimer’s disease15 we therefore postulated that ADT use among older individuals might confer the greatest absolute risk of Alzheimer’s disease, as has previously been found regarding the impact of ADT on cardiovascular disease risk16. Our finding that older men on ADT have a greater absolute risk of Alzheimer’s disease compared to younger individuals is particularly relevant given concerns regarding aggressive treatment of prostate cancer among men with limited life expectancies17.
Limitations of this study include its retrospective design and the inability to conduct subgroup analysis according to ADT use versus non-use in the <70 years cohort due to low event rates. We were unable to account for prostate cancer specific characteristics, such as Gleason score. We were not powered to undertake subgroup analysis by type of ADT, which may be relevant given that some types of ADT might have a protective effect on Alzheimer’s disease18. Finally, we were unable to evaluate APOE ε4 allele status, which may interact with testosterone levels19.
In conclusion, we find that older men on ADT have the greatest absolute increased risk of Alzheimer’s disease. Future studies are required to determine the mechanism of this association and to develop preventative strategies and inform clinical practice. Prioritization of research and clinical intervention regarding adverse effects of ADT among older individuals may have the greatest clinical impact.
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NHS acknowledges support from grant R01 LM011369 from National Library of Medicine (US) and grant R01 GM101430 from National Institute of General Medical Sciences (US).
N.H.S. is an inventor on patents owned by Stanford University that enable the use of clinical text for data-mining: Methods for Ontology based Analytics and numbers: US13/273,038, US13/420,402, US13/424,375, and US13/424,376.
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Nead, K., Gaskin, G., Chester, C. et al. Influence of age on androgen deprivation therapy-associated Alzheimer’s disease. Sci Rep 6, 35695 (2016). https://doi.org/10.1038/srep35695
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