Estimating associations between antidepressant use and incident mild cognitive impairment in older adults with depression

Comorbidities associated with symptoms of subjective cognitive decline in individuals aged 45-64

CONTEXT

Early-stage cognitive decline occurs when an individual experiences memory loss or other cognitive impairment but does not meet the criteria for Alzheimer's disease (AD) or other dementias. After diagnosis of mild cognitive impairment (MCI), approximately 5-15 % of cases progress to dementia per year. AD and many other causes of dementia are presently incurable. Early recognition of cognitive decline can allow healthcare providers to reduce the risk of disease progression. Literature is scarce on factors that can increase the incidence of cognitive decline, especially in early ages; this is further exacerbated by difficulty tracking the prevalence of mild cognitive symptoms.

OBJECTIVES

This analysis aims to determine demographic and comorbid factors that predispose individuals to higher rates of early-stage subjective cognitive impairment in order to determine which individuals should be screened at earlier stages.

METHODS

We conducted a cross-sectional analysis of data from the Subjective Cognitive Decline module of the 2017-2021 Behavioral Risk Factor Surveillance System (BRFSS). Applying survey design and sampling weights, we constructed binary logistic regression models to assess associations, via odds ratios (OR), between comorbidities and subjective cognitive decline (SCD). Alpha was set at 0.05 and confidence intervals (CIs) are reported at 95 %.

RESULTS

Our sample included 110,305 participants representing 13.4 million US adults aged 45-64 years. Results showed that individuals with diabetes (OR: 2.29, CI: 2.09-2.51), hypertension (OR: 1.98, CI: 1.81-2.17), stroke (OR: 4.61, CI: 4.07-5.22), myocardial infarction (MI [OR: 3.09, CI: 2.73-3.49]), coronary heart disease (CHD [OR: 3.26, CI: 2.88-3.69]), depression (OR: 5.65, CI: 5.21-6.11), and chronic kidney disease (CKD [OR: 3.08, CI: 2.66-3.58]) experienced higher rates of SCD. Further, there were higher rates of SCD among individuals who identified as American Indian/Alaskan Native (AI/AN), those with low educational attainment, and those with lower incomes.

CONCLUSIONS

Our findings show that all comorbidities listed were correlated with higher rates of memory loss or confusion. Investigation of factors that are associated with an increased risk of developing new or worsening cognitive decline allows healthcare professionals to properly screen and treat these individuals early, before progressing to conditions that are currently incurable. Future studies into the mechanisms of these diseases in contributing to cognitive decline can illuminate specific effective treatment options.

Impact of psychotropic medications on cognition among older adults: a systematic review

OBJECTIVES

The aim of this systematic review is to examine the cognitive impact of psychotropic medications including benzodiazepines, antidepressants, mood stabilizers, antipsychotics, or a combination of these drugs on older adults.

DESIGN

Systematic review.

SETTING

We searched Medline, PsycINFO, and Embase through the Ovid platform, CINAHL through EBSCO, and Web of Science.

PARTICIPANTS AND INTERVENTIONS

Randomized control trials (RCTs) and cohort studies that used a validated scale to measure cognition with a follow-up period of at least six months were included.

MEASUREMENT

The primary outcome of interest was cognitive change associated with psychotropic medication use.

RESULTS

A total of 7551 articles were identified from the primary electronic literature search across the five databases after eliminating duplicates. Based on full-text analysis, 27 articles (two RCTs, 25 cohorts) met the inclusion criteria. Of these, nine each examined the impact of benzodiazepines and antidepressants, five examined psychotropic combinations, three on antipsychotic drugs, and one on the effects of mood stabilizers.

CONCLUSIONS

This is the first systematic review to examine the cognitive impact of multiple psychotropic drug classes in older adults over an extended follow-up period (six months or more) using robust sample sizes, drug-free control groups, and validated cognitive instruments. We found evidence to indicate cognitive decline with the cumulative use of benzodiazepines and the use of antidepressants, especially those with anticholinergic properties among older adults without cognitive impairment at baseline. Further, the use of antipsychotics and psychotropic combinations is also associated with cognitive decline in older adults.

Association between Antidepressants and Dementia Risk in Older Adults with Depression: A Systematic Review and Meta-Analysis

Depression, commonly treated with antidepressants, is associated with an increased risk of dementia, especially in older adults. However, the association between antidepressant use and dementia risk is unclear. We searched for randomized controlled trials and observational studies from PubMed, Embase, and Cochrane on 1 February 2022, restricting to full texts in English. Since dementia is a chronic disease requiring a long induction time, we restricted studies with ≥1 year follow-up. We extracted the relative risk (RR) adjusted for the most variables from each study and evaluated the heterogeneity using I square (I2). The protocol was registered in the PROSPERO International Register of Systematic Reviews (CRD42022338038). We included six articles in the systematic review, of which the sample size ranged from 716 to 141,740, and the median length of follow-up was 5 years. The pooled RR was 1.21 (95% CI = 1.12-1.29) with an I2 of 71%. Our findings suggest that antidepressant use was associated with an increased risk of dementia in older adults with depression, yet moderate to high heterogeneity existed across studies. Future work accounting for the depression progression is needed to differentiate the effect of depression and antidepressants on dementia risk.

Graphical methods for understanding changes in states: Understanding medication use pathways

OBJECTIVES

As epidemiological studies become longer and larger, the field needs novel graphical methods to visualize complex longitudinal data. The aim of this study was to present the Slinkyplot, a longitudinal crosstabulation, to illustrate patterns of antidepressant use in a large prospective cohort of older adults with mild cognitive impairment.

METHODS

Data from the National Alzheimer's Coordinating Center are used to track switches between different states and types of antidepressant use. A Slinkyplot is populated with rows representing the state of medication use at each timepoint and columns representing the state at each subsequent visit.

RESULTS

The constructed Slinkyplots display the common practice of switching on and off different antidepressants over time, with citalopram, sertraline, and bupropion most commonly used followed by switching to another SSRI or SNRI as second-line treatment.

CONCLUSIONS

Slinkyplots are an innovative graphical means of visualizing complex patterns of transitions between different states over time for large longitudinal studies.

Mild Cognitive Impairment and modifiable risk factors among Lebanese older adults in primary care

OBJECTIVE

Mild Cognitive Impairment (MCI) is an intermediate state between normal cognition and dementia. Identification of MCI and associated risk factors is important for early intervention. This study investigated the prevalence of MCI among Lebanese older adults and associated risk factors in primary care.

METHODS

For this cross-sectional study, 337 adults aged 60 years and older met inclusion criteria and were recruited at a primary care clinic associated with a tertiary medical center in Beirut, Lebanon. The validated Arabic version of the Montreal Cognitive Assessment, the 5-item Geriatric Depression Scale, and the Lawton Instrumental Activities of Daily Living Scale were administered. Data about sociodemographic, behavioral, and clinical characteristics was obtained.

RESULTS

There was no difference in the mean age between those with normal cognition and those with MCI (mean age 70.38 ± 7.4 and 72.12 ± 7.6 years, respectively). The prevalence of MCI was 14.8% (50 out of 337), 42% were males and 58% were women. Participants having more than 12 years of education (OR = 0.297; CI = 0.112-0.788; P = 0.015) were less likely to have MCI. Participants with history of smoking (OR = 2.599; CI = 1.266-5.339; P = 0.012) or at risk of depression (OR = 2.847; CI = 1.392-5.819; P = 0.004) were more likely to have MCI.

CONCLUSION

Identification of patients with history of smoking and at risk of depression may serve as an opportunity to offer intensive counseling and targeted treatment to delay the onset or progression of MCI to Alzheimer's disease.

Depressive Symptoms Imputed Across the Life Course Are Associated with Cognitive Impairment and Cognitive Decline

BACKGROUND

Depressive symptoms may increase risk for dementia, but findings are controversial because late-life depression may be a prodromal dementia symptom. Life course data on depression and dementia risk may clarify this association; however, data is limited.

OBJECTIVE

To impute adult depressive symptoms trajectories across adult life stages and estimate the association with cognitive impairment and decline.

METHODS

Using a pooled study of 4 prospective cohorts (ages 20-89), we imputed adult life course depressive symptoms trajectories based on Center for Epidemiologic Studies Depression Scale-10 (CESD-10) and calculated time-weighted averages for early adulthood (ages 20-49), mid-life (ages 50-69), and late-life (ages 70-89) for 6,122 older participants. Adjusted pooled logistic and mixed-effects models estimated associations of imputed depressive symptoms with two cognitive outcomes: cognitive impairment defined by established criteria and a composite cognitive score.

RESULTS

In separate models, elevated depressive symptoms in each life stage were associated with cognitive outcomes: early adulthood OR for cognitive impairment = 1.59 (95%CI: 1.35,1.87); mid-life OR = 1.94 (95%CI:1.16, 3.26); and late-life OR = 1.77 (95%CI:1.42, 2.21). When adjusted for depressive symptoms in the other life-stages, elevated depressive symptoms in early adulthood (OR = 1.73; 95%CI: 1.42,2.11) and late-life (OR = 1.43; 95%CI: 1.08,1.89) remained associated with cognitive impairment and were also associated with faster rates of cognitive decline (p < 0.05).

CONCLUSION

Imputing depressive symptom trajectories from pooled cohorts may help expand data across the life course. Our findings suggest early adulthood depressive symptoms may be a risk factor for cognitive impairment independent of mid- or late-life depressive symptoms.