Relation between vascular risk factors and neuropsychological test performance among elderly persons with Alzheimer's disease

Effects of Vascular Risk Factors on the Association of Blood-Based Biomarkers with Alzheimer's Disease

Background

Comorbidities may influence the levels of blood-based biomarkers for Alzheimer's disease (AD). We investigated whether differences in risk factors or comorbid conditions might explain the discordance between clinical diagnosis and biomarker classifications in a multi-ethnic cohort of elderly individuals.

Aims

To evaluate the relationship of medical conditions and other characteristics, including body mass index (BMI), vascular risk factors, and head injury, with cognitive impairment and blood-based biomarkers of AD, phosphorylated tau (P-tau 181, P-tau 217), in a multi-ethnic cohort.

Methods

Three-hundred individuals, aged 65 and older, were selected from a prospective community-based cohort for equal representation among three racial/ethnic groups: non-Hispanic White, Hispanic/Latino and African American/Black. Participants were classified into four groups based on absence (Asym) or presence (Sym) of cognitive impairment and low (NEG) or high (POS) P-tau 217 or P-tau 181 levels, determined previously in the same cohort: (Asym/NEG, Asym/POS, Sym/NEG, Sym/POS). We examined differences in individual characteristics across the four groups. We performed post-hoc analysis examining the differences across biomarker and cognitive status.

Results

P-tau 217 or P-tau 181 positive individuals had lower BMI than P-tau negative participants, regardless of symptom status. Symptomatic and asymptomatic participants did not differ in terms of BMI. BMI was not a mediator of the effect of P-tau 217 or P-tau 181 on dementia. Frequencies of other risk factors did not differ between the four groups of individuals.

Conclusions

Participants with higher levels of P-tau 217 or P-tau 181 consistent with AD had lower BMI regardless of whether the individual was symptomatic. These findings suggest that weight loss may change with AD biomarker levels before onset of cognitive decline. They do not support BMI as a confounding variable. Further longitudinal studies could explore the relationship of risk factors with clinical diagnoses and biomarkers.

Association of dyslipidaemia with Alzheimer's disease in a cohort of postmenopausal women

Objective

To evaluate the association between dyslipidaemia and Alzheimer’s disease (AD) in a cohort of postmenopausal women.

Methods

This retrospective study analysed data from postmenopausal women with early AD (group AD) and a cohort of healthy age- and sex-matched control subjects (group NC) that were considered to be within standard limits according to a neuropsychological assessment between March 2010 and March 2019. The primary endpoints were body mass index and lipid-related laboratory parameters, including leptin, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), total cholesterol, adiponectin, triglycerides, apolipoprotein A1, apolipoprotein B and apolipoprotein E4, which were evaluated using multivariate binary logistic analysis.

Results

The study enrolled 200 postmenopausal women with early AD (mean ± SD age 69.34 ± 6.25 years) and 180 control subjects (mean ± SD age 67.48 ± 7.42 years). Lower HDL-C and higher LDL-C were risk factors for AD. A multivariate binary logistic regression model demonstrated that lower HDL-C and higher LDL-C were the only variables associated with the development of AD (odds ratio [OR] 21.14, 95% confidence interval [CI] 2.47, 4.13; OR 36.35, 95% CI 1.24, 3.38; respectively).

Conclusion

Both low HDL-C and high LDL-C were associated with the occurrence of AD in a cohort of postmenopausal women.

Brain arteriolosclerosis

Brain arteriolosclerosis (B-ASC), characterized by pathologic arteriolar wall thickening, is a common finding at autopsy in aged persons and is associated with cognitive impairment. Hypertension and diabetes are widely recognized as risk factors for B-ASC. Recent research indicates other and more complex risk factors and pathogenetic mechanisms. Here, we describe aspects of the unique architecture of brain arterioles, histomorphologic features of B-ASC, relevant neuroimaging findings, epidemiology and association with aging, established genetic risk factors, and the co-occurrence of B-ASC with other neuropathologic conditions such as Alzheimer's disease and limbic-predominant age-related TDP-43 encephalopathy (LATE). There may also be complex physiologic interactions between metabolic syndrome (e.g., hypertension and inflammation) and brain arteriolar pathology. Although there is no universally applied diagnostic methodology, several classification schemes and neuroimaging techniques are used to diagnose and categorize cerebral small vessel disease pathologies that include B-ASC, microinfarcts, microbleeds, lacunar infarcts, and cerebral amyloid angiopathy (CAA). In clinical-pathologic studies that factored in comorbid diseases, B-ASC was independently associated with impairments of global cognition, episodic memory, working memory, and perceptual speed, and has been linked to autonomic dysfunction and motor symptoms including parkinsonism. We conclude by discussing critical knowledge gaps related to B-ASC and suggest that there are probably subcategories of B-ASC that differ in pathogenesis. Observed in over 80% of autopsied individuals beyond 80 years of age, B-ASC is a complex and under-studied contributor to neurologic disability.

Associations Between Depression, Traumatic Brain Injury, and Cognitively-Defined Late-Onset Alzheimer's Disease Subgroups

BACKGROUND

There is considerable heterogeneity in clinical presentation among people with late-onset Alzheimer's disease (LOAD). We have categorized people with LOAD into subgroups based on relative impairments across cognitive domains. These 6 groups are people with no relatively impaired domains (AD-No Domains), 4 groups with one relatively impaired domain (AD-Memory, AD-Executive, AD-Language, and AD-Visuospatial), and a group with multiple relatively impaired domains (AD-Multiple Domains). Our previous analysis demonstrated that genetic factors vary across cognitively-defined LOAD groups.

OBJECTIVE

To determine whether risks associated with depression and traumatic brain injury with loss of consciousness (TBI) for cognitively defined LOAD subgroups are similar.

METHODS

We used cognitive data at LOAD diagnosis from three prospective cohort studies to determine cognitively-defined subgroups. We compared subgroups in endorsement of items from the Centers for Epidemiological Studies Depression (CES-D) scale and history of TBI.

RESULTS

Among 1,505 people with LOAD from the three studies, there were substantial differences across subgroups in total CES-D score, with lower scores (less depression) for people with AD with relative impairments in memory (AD-Memory) compared to those in other groups. Differences were noteworthy for the sleep-related item of the CES-D, as people with AD-Memory were less likely to report restless sleep than people in other groups. There were no differences in TBI history across groups.

CONCLUSIONS

Differences in risk factor associations across subgroups such as differences in endorsement of depression symptoms and restless sleep provide support for the hypothesis that there are biologically coherent subgroups of AD.

Dysexecutive versus amnestic Alzheimer disease subgroups: analysis of demographic, genetic, and vascular factors

The objective of this study was to compare the demographic and vascular characteristics and APOE genotypes of a dysexecutive subgroup of Alzheimer disease (AD) with an amnestic subgroup of AD early in the disease course. A total of 2224 participants from the National Alzheimer's Coordinating Center database who carried a diagnosis of mild cognitive impairment (n=1188) or mild AD (clinical dementia rating ≤1) (n=1036) were included in this study. A subset of the mild cognitive impairment (n=61) and mild AD (n=79) participants underwent an autopsy. A dysexecutive subgroup (n=587) was defined as having executive performance >1 SD worse than memory performance, and an amnestic subgroup (n=549) was defined conversely. Among the autopsy subset, the odds of an AD pathologic diagnosis were compared in the 2 subgroups. The demographics, APOE[Latin Small Letter Open E]4 status, and vascular risk factors were compared in the 2 subgroups. Among the autopsy subset, the odds of having an AD pathologic diagnosis did not differ between the dysexecutive and amnestic subgroups. Under an additive model, participants in the dysexecutive subgroup possessed the APOE[Latin Small Letter Open E]4 allele less frequently compared with those in the amnestic subgroup. The dysexecutive subgroup had a history of hypertension less frequently compared with the amnestic subgroup. These distinct characteristics add to accumulating evidence that a dysexecutive subgroup of AD may have a unique underlying pathophysiology.

Adding delayed recall to the Alzheimer Disease Assessment Scale is useful in studies of mild cognitive impairment but not Alzheimer disease

OBJECTIVE

To determine if the addition of delayed recall (DR) assessment adds sensitivity to the cognitive subscale of the Alzheimer Disease Assessment Scale (ADAS-cog) in clinical trials in mild cognitive impairment (MCI) and Alzheimer Disease (AD).

BACKGROUND

Memory, particularly DR, is the most sensitive test for early detection of AD and MCI. However, it is not clear that assessment of DR adds benefit for measuring change over time after a diagnosis is made or in clinical trials. The ADAS-cog is the most commonly used tool to assess treatment efficacy in AD clinical trials. In an attempt to improve sensitivity to change, assessment of DR after the 3-trial, 10-word list was added to the standard 11-item ADAS-cog. We examined the added value of the DR in participants with MCI and AD followed for at least 1 year.

DESIGN/METHODS

Data from 111 subjects with AD and 259 subjects with MCI who were randomly assigned to the placebo arm of 2 clinical trials were included. Participants with AD had Mini-Mental State Examination scores of 13 to 27 and those with MCI had 24 to 30. We calculated the ADAS-cog11 score based on the original 11 items (range: best to worse, 0 to 70), the DR item score (range: 0 to 10 words not recalled), and the ADAS-cog12 (range: 0 to 80). We assessed the rate of missing items for DR over time, the change scores, the association between scores and baseline performance, and used longitudinal mixed effects regression models to examine the rate of change.

RESULTS

At baseline AD subjects were near floor on DR (8.93 ± 1.6 SD) and showed little change over 1 year (0.12 ± 1.34); the MCI subjects baseline DR was 6.2 ± 2.2 with 1-year change of 0.20±1.7. We compared standardized change (change/SD) for ADAS-cog11, and 12 in MCI and found a 10% improvement with ADAS-cog12; there was no improvement in the AD group. In a subset of MCI and AD cases with matching Mini-Mental State Examination (23 to 27), the ADAS-cog12 provided an 18% improvement in standardized change in MCI subjects, with no benefit in the AD cohort, primarily owing to increased variance.

CONCLUSIONS/RELEVANCE

The addition of DR to the ADAS-cog score increased the ability to detect change in subjects with MCI over 1 year compared with the ADAS-cog11 but increased the variance in subjects with AD, even in those with mild impairment These findings speak to the need to tailor outcome measures to the specific study population and diagnosis for maximal efficiency and economy when conducting clinical trials.

A summary risk score for the prediction of Alzheimer disease in elderly persons

OBJECTIVE

To develop a simple summary risk score for the prediction of Alzheimer disease in elderly persons based on their vascular risk profiles.

DESIGN

A longitudinal, community-based study.

SETTING

New York, New York. Patients One thousand fifty-one Medicare recipients aged 65 years or older and residing in New York who were free of dementia or cognitive impairment at baseline.

MAIN OUTCOME MEASURES

We separately explored the associations of several vascular risk factors with late-onset Alzheimer disease (LOAD) using Cox proportional hazards models to identify factors that would contribute to the risk score. Then we estimated the score values of each factor based on their beta coefficients and created the LOAD vascular risk score by summing these individual scores.

RESULTS

Risk factors contributing to the risk score were age, sex, education, ethnicity, APOE epsilon4 genotype, history of diabetes, hypertension or smoking, high-density lipoprotein levels, and waist to hip ratio. The resulting risk score predicted dementia well. According to the vascular risk score quintiles, the risk to develop probable LOAD was 1.0 for persons with a score of 0 to 14 and increased 3.7-fold for persons with a score of 15 to 18, 3.6-fold for persons with a score of 19 to 22, 12.6-fold for persons with a score of 23 to 28, and 20.5-fold for persons with a score higher than 28.

CONCLUSIONS

While additional studies in other populations are needed to validate and further develop the score, our study suggests that this vascular risk score could be a valuable tool to identify elderly individuals who might be at risk of LOAD. This risk score could be used to identify persons at risk of LOAD, but can also be used to adjust for confounders in epidemiologic studies.

The impact of vascular comorbidities on qualitative error analysis of executive impairment in Alzheimer's disease

Recent evidence suggests that patients with Alzheimer's disease (AD) and vascular comorbidities (VC) perform worse across measures of verbal reasoning and abstraction when compared to patients with AD alone. We performed a qualitative error analysis of Wechsler Adult Intelligence Scale-III Similarities zero-point responses in 45 AD patients with varying numbers of VC, including diabetes, hypertension, and hypercholesterolemia. Errors were scored in set if the answer was vaguely related to how the word pair was alike (e.g., dog-lion: "they can be trained") and out of set if the response was unrelated ("a lion can eat a dog"). AD patients with 2-3 VC did not differ on Similarities total score or qualitative errors from AD patients with 0-1 VC. When analyzing the group as a whole, we found that increasing numbers of VC were significantly associated with increasing out of set errors and decreasing in set errors in AD. Of the vascular diseases investigated, it was only the severity of diastolic blood pressure that significantly correlated with out of set responses. Understanding the contribution of VC to patterns of impairment in AD may provide support for directed patient and caregiver education concerning the presentation of a more severe pattern of cognitive impairment in affected individuals.

Hypertension and cognitive function

Cumulative evidence implicates hypertension in the pathogenesis of Alzheimer disease. Although it may not presently be possible to completely differentiate the effects of treatment and control of hypertension itself from those of the medication used to achieve such treatment goals, efforts directed at the treatment and control of hypertension can have significant public health impact.

Vascular factors in geriatric psychiatry: time to take a serious look

PURPOSE OF REVIEW

Vascular factors have increasingly been described in association with cognitive decline and depression. This review focuses on the literature, which has explored the possible link between these risk factors and cognitive decline and depression.

RECENT FINDINGS

There is considerable, and increasing, evidence that vascular risk factors make patients more at risk of cognitive decline and depression. The mechanism by which this occurs, or whether these factors are truly causal, is unclear. There is still insufficient evidence that the treatment of vascular risk decreases the subsequent risk of cognitive decline and depression.

SUMMARY

In view of this mounting evidence and the cardiovascular benefits associated with the treatment of vascular risk factors, there is an argument that older patients presenting with the problems of cognitive decline and depression should have vascular risk assessed and treated.

High blood pressure, hypertension, and high pulse pressure are associated with poorer cognitive function in persons aged 60 and older: the Third National Health and Nutrition Examination Survey

OBJECTIVES

To test the hypothesis that hypertension, high blood pressure, and high pulse pressure (PP) are independently associated with lower cognitive function.

DESIGN

Cross-sectional study of persons examined in 1988 to 1994.

SETTING

U.S. noninstitutionalized population.

PARTICIPANTS

Six thousand one hundred sixty-three men and women aged 60 and older who participated in the Third National Health and Nutrition Examination Survey (NHANES III).

MEASUREMENTS

Measurements included blood pressure, short-portable Mini-Mental State Examination (sp-MMSE), self-reported history of hypertension, diagnosis, and treatment.

RESULTS

In the initial bivariate analysis within age groups of 60 to 64, 65 to 69, and 70 to 74, optimal blood pressure (< 120/80 mmHg) was associated with best cognitive performance; the severe hypertension group had the poorest performance in all age groups except the very old (> or = 80), where the pattern was reversed, showing poorest performance in the optimal blood pressure group and best in the group with moderate hypertension. This pattern changed slightly in multiple regression analyses modeling sp-MMSE as the outcome variable. Higher stage of hypertension according to the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure and higher PP were associated with worse cognitive performance than normal blood pressure at ages 70 to 79 and 80 and older. No significant negative association was seen in subjects aged 60 to 69. Subjects with treated but uncontrolled hypertension had significantly lower sp-MMSE scores than those without hypertension or with controlled hypertension after controlling for age, sex, ethnicity, income, and PP.

CONCLUSION

At age 70 and older, high blood pressure, hypertension, and uncontrolled blood pressure are associated with poorer cognitive function than normal blood pressure. Optimal control of blood pressure may be useful in preserving neurocognitive loss as the population ages.