The impact of tamsulosin on cognition in Alzheimer disease with benign prostate hyperplasia: A study using the Hallym Smart Clinical Data Warehouse

Use of alpha-adrenergic antagonists for lower urinary tract symptoms is not associated with worsening cognitive function

INTRODUCTION

Alpha-adrenergic antagonists are widely prescribed for lower urinary tract symptoms (LUTS), however there has been a report that their use is associated with dementia. Our objective was to investigate if new users of alpha-adrenergic antagonists with varying levels of cognitive impairment had an increased risk of cognitive decline compared to non-users.

METHODS

This was a retrospective cohort study, utilizing data from the National Alzheimer's Coordinating Center (NACC) data set. After applying relevant exclusion criteria, 916 people who were newly using alpha-antagonist medications were matched with a propensity score to 916 who were not using these medications. The primary outcome was a clinically relevant cognitive decline measured by the Clinical Dementia Rating (CDR) Dementia Staging Instrument or the mini mental state examination (MMSE). Secondary outcomes included scores from other cognitive assessment tools.

RESULTS

The matched cohorts did not differ significantly in baseline characteristics. There were no statistically significant differences in baseline or follow-up cognitive scores between those exposed and nonexposed to alpha-adrenergic antagonists. Clinically significant cognitive decline (as defined by the CDR) occurred in 9.72% of the exposed group and 8.19% of the nonexposed group. There was no observed effect of alpha-adrenergic antagonists on cognitive decline, as measured with the CDR (odds ratio [OR] 1.34, p = 0.14) or the MMSE (OR 0.98, p = 0.92). Stratified analyses by cognitive status and apolipoprotein E genotype interaction assessment also demonstrated no significant associations.

CONCLUSION

Alpha-adrenergic antagonists for LUTS do not appear to increase the risk of cognitive decline, offering reassurance to clinicians and patients.

Inferring Personalized Treatment Effect of Antihypertensives on Alzheimer's Disease Using Deep Learning

Alzheimer's disease (AD) is one of the leading causes of death in the United States, especially among the elderly. Recent studies have shown how hypertension is related to cognitive decline in elderly patients, which in turn leads to increased mortality as well as morbidity. There have been various studies that have looked at the effect of antihypertensive drugs in reducing cognitive decline, and their results have proved inconclusive. However, most of these studies assume the treatment effect is similar for all patients, thus considering only the average treatment effects of antihypertensive drugs. In this paper, we assume that the effect of antihypertensives on the onset of AD depends on patient characteristics. We develop a deep learning method called LASSO-Dragonnet to estimate the individualized treatment effects of each patient. We considered six antihypertensive drugs, and each of the six models considered one of the drugs as the treatment and the remaining as control. Our studies showed that although many antihypertensives have a positive impact in delaying AD onset on average, the impact varies from individual to individual, depending on their various characteristics. We also analyzed the importance of various covariates in such an estimation. Our results showed that the individualized treatment effects of each patient could be estimated accurately using a deep learning method, and that the importance of various covariates could be determined.

Use of α1-Adrenoceptor Antagonists Tamsulosin and Alfuzosin and The Risk of Alzheimer's Disease

Purpose

Tamsulosin has been associated with dementia, but the results have been inconsistent. Concerns have been raised about using exposure assessment time too close to the outcome. We investigated the association between use of α1‐adrenoceptor antagonists indicated for benign prostate hyperplasia and risk of Alzheimer's disease (AD) using different exposure windows.

Methods

The study (24 602 cases and 98 397 matched controls) included men from the Finnish nationwide nested case–control study on Medication and Alzheimer's disease (MEDALZ). Cases received clinically verified AD diagnosis during 2005–2011 and were community‐dwelling at the time of diagnosis. Use of tamsulosin and alfuzosin in 1995–2011 was identified from the Prescription Register and categorized based on whether it had occurred within 3 years before AD diagnosis (lag time) or before that. Dose–response analysis using defined daily doses of drug (DDDs) was conducted. Associations were investigated with conditional logistic regression, adjusted for confounders and mediators.

Results

The use of α1‐adrenoceptor antagonists before lag time associated with an increased risk of AD (OR 1.24 [1.20–1.27]). After adjustment for comorbidities and concomitant drug use throughout the assessment time (confounders) and healthcare contacts within the lag period (mediators), the association weakened (aOR 1.10 [1.06–1.14]). We found no evidence of dose–response‐relationship when comparing the users of higher than median DDDs to the users of lower than median DDDs.

Conclusion

Our findings, especially the lack of dose–response‐relationship and attenuation after mediator adjustment, do not provide strong support for the previous hypothesis on α1‐adrenoceptor antagonists as a risk factor for dementia.