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Objective: To investigate longitudinal change in the medical decision-making capacity (MDC) of patients with amnestic mild cognitive impairment (MCI) under different consent standards. Methods: Eighty-eight healthy older controls and 116 patients with MCI were administered the Capacity to Consent to Treatment Instrument at baseline and at 1 to 3 (mean = 1.7) annual follow-up visits thereafter. Covariate-adjusted random coefficient regressions were used to examine differences in MDC trajectories across MCI and control participants, as well as to investigate the impact of conversion to Alzheimer disease on MCI patients’ MDC trajectories. Results: At baseline, MCI patients performed significantly below controls only on the three clinically relevant standards of appreciation, reasoning, and understanding. Compared with controls, MCI patients experienced significant declines over time on understanding but not on any other consent standard. Conversion affected both the elevation (a decrease in performance) and slope (acceleration in subsequent rate of decline) of MCI patients’ MDC trajectories on understanding. A trend emerged for conversion to be associated with a performance decrease on reasoning in the MCI group. Conclusions: Medical decision-making capacity (MDC) decline in mild cognitive impairment (MCI) is a relatively slow but detectable process. Over a 3-year period, patients with amnestic MCI show progressive decline in the ability to understand consent information. This decline accelerates after conversion to Alzheimer disease (AD), reflecting increasing vulnerability to decisional impairment. Clinicians and researchers working with MCI patients should give particular attention to the informed consent process when conversion to AD is suspected or confirmed.

During Erik Remington's first year in graduate school, he was drafted into the Civilian Corps. Unwilling to interrupt his studies in applied physics, he contacted Ravi DeCruz, the young congressman who had spearheaded the legislation leading to the establishment of the Civilian Corps. Erik knew Ravi from college and wanted him to pull some strings.

Objective: Recent genome-wide association studies (GWAS) of late-onset Alzheimer disease (LOAD) identified 9 novel risk loci. Discovery of functional variants within genes at these loci is required to confirm their role in Alzheimer disease (AD). Single nucleotide polymorphisms that influence gene expression (eSNPs) constitute an important class of functional variants. We therefore investigated the influence of the novel LOAD risk loci on human brain gene expression. Methods: We measured gene expression levels in the cerebellum and temporal cortex of autopsied AD subjects and those with other brain pathologies (∼400 total subjects). To determine whether any of the novel LOAD risk variants are eSNPs, we tested their cis -association with expression of 6 nearby LOAD candidate genes detectable in human brain ( ABCA7, BIN1, CLU, MS4A4A, MS4A6A, PICALM ) and an additional 13 genes ±100 kb of these SNPs. To identify additional eSNPs that influence brain gene expression levels of the novel candidate LOAD genes, we identified SNPs ±100 kb of their location and tested for cis -associations. Results: CLU rs11136000 ( p = 7.81 × 10 −4 ) and MS4A4A rs2304933/rs2304935 ( p = 1.48 × 10 −4 –1.86 × 10 −4 ) significantly influence temporal cortex expression levels of these genes. The LOAD-protective CLU and risky MS4A4A locus alleles associate with higher brain levels of these genes. There are other cis -variants that significantly influence brain expression of CLU and ABCA7 ( p = 4.01 × 10 −5 –9.09 × 10 −9 ), some of which also associate with AD risk ( p = 2.64 × 10 −2 –6.25 × 10 −5 ). Conclusions: CLU and MS4A4A eSNPs may at least partly explain the LOAD risk association at these loci. CLU and ABCA7 may harbor additional strong eSNPs. These results have implications in the search for functional variants at the novel LOAD risk loci.

Objective: To investigate predictors of missing data in a longitudinal study of Alzheimer disease (AD). Methods: The Alzheimer9s Disease Neuroimaging Initiative (ADNI) is a clinic-based, multicenter, longitudinal study with blood, CSF, PET, and MRI scans repeatedly measured in 229 participants with normal cognition (NC), 397 with mild cognitive impairment (MCI), and 193 with mild AD during 2005–2007. We used univariate and multivariable logistic regression models to examine the associations between baseline demographic/clinical features and loss of biomarker follow-ups in ADNI. Results: CSF studies tended to recruit and retain patients with MCI with more AD-like features, including lower levels of baseline CSF Aβ 42 . Depression was the major predictor for MCI dropouts, while family history of AD kept more patients with AD enrolled in PET and MRI studies. Poor cognitive performance was associated with loss of follow-up in most biomarker studies, even among NC participants. The presence of vascular risk factors seemed more critical than cognitive function for predicting dropouts in AD. Conclusion: The missing data are not missing completely at random in ADNI and likely conditional on certain features in addition to cognitive function. Missing data predictors vary across biomarkers and even MCI and AD groups do not share the same missing data pattern. Understanding the missing data structure may help in the design of future longitudinal studies and clinical trials in AD.

Objective: To investigate 1-year change in financial capacity in relation to conversion from amnestic mild cognitive impairment (MCI) to dementia. Methods: Seventy-six cognitively healthy older controls, 25 patients with amnestic MCI who converted to Alzheimer-type dementia during the study period (MCI converters), and 62 patients with MCI who did not convert to dementia (MCI nonconverters) were administered the Financial Capacity Instrument (FCI) at baseline and 1-year follow-up. Performance on the FCI domain and global scores was compared within and between groups using multivariate repeated-measures analyses. Results: At baseline, controls performed better than MCI converters and nonconverters on almost all FCI domains and on both FCI total scores. MCI converters performed below nonconverters on domains of financial concepts, cash transactions, bank statement management, and bill payment and on both FCI total scores. At 1-year follow-up, MCI converters showed significantly greater decline than controls and MCI nonconverters for the domain of checkbook management and for both FCI total scores. The domain of bank statement management showed a strong trend. For both the checkbook and bank statement domains, MCI converters showed declines in procedural skills, such as calculating the correct balance in a checkbook register, but not in conceptual understanding of a checkbook or a bank statement. Conclusions: Declining financial skills are detectable in patients with mild cognitive impairment (MCI) in the year before their conversion to Alzheimer disease. Clinicians should proactively monitor patients with MCI for declining financial skills and advise patients and families about appropriate interventions.

Objectives: To empirically assess the capacity of patients with amnestic mild cognitive impairment (MCI) to consent to medical treatment under different consent standards (Ss). Methods: Participants were 56 healthy controls, 60 patients with MCI, and 31 patients with mild Alzheimer disease (AD). Each participant was administered the Capacity to Consent to Treatment Instrument (CCTI) and a comprehensive neuropsychological battery. Group differences in performance on the CCTI and neuropsychological variables were examined. In addition, the capacity status (capable, marginally capable, or incapable) of each MCI participant on each CCTI standard was examined using cut scores derived from control performance. Results: Patients with MCI performed comparably to controls on minimal consent standards requiring merely expressing a treatment choice (S1) or making the reasonable treatment choice [S2], but significantly below controls on the three clinically relevant standards of appreciation (S3), reasoning (S4), and understanding (S5). In turn, the MCI group performed significantly better than the mild AD group on [S2], S4, and S5. Regarding capacity status, patients with MCI showed a progressive pattern of capacity compromise (marginally capable and incapable outcomes) related to stringency of consent standard. Conclusions: Patients with amnestic mild cognitive impairment (MCI) demonstrate significant impairments on clinically relevant abilities associated with capacity to consent to treatment. In obtaining informed consent, clinicians and researchers working with patients with MCI must consider the likelihood that many of these patients may have impairments in consent capacity related to their amnestic disorder and related cognitive impairments. GLOSSARY: AD = Alzheimer disease; ADRC = Alzheimer9s Disease Research Center; CCTI = Capacity to Consent to Treatment Instrument; CVLT-II = California Verbal Learning Test, second edition; DRS-2 = Dementia Rating Scale, 2nd edition; GDS = Geriatric Depression Scale; MCI = mild cognitive impairment; MDC = medical decision-making capacity; MMSE = Mini-Mental State Examination; Ss = consent standards; WAIS-III = Wechsler Adult Intelligence Scale, third edition; WMS-III = Wechsler Memory Scale, third edition; WMS-R = Wechsler Memory Scale, revised edition; WRAT-3 = Wide Range Achievement Test, third edition.

Background: Progressive nonfluent aphasia (PA) is a slow deterioration of language that remains relatively isolated from other cognitive or behavioral deficits for at least 2 years. The differentiation of PA from early Alzheimer’s disease (AD) is important, given the presence of early language changes in AD. Methods: A language assessment was administered to 15 patients who met established criteria for PA, 15 patients with clinically probable AD and mild dementia, and 15 normal control subjects. The language battery included verbal fluency, the Boston Naming Test with cuing and recognition, and an aphasia test battery with a motor speech exam. Results: Pronounced literal paraphasic errors distinguished the PA patients from the AD patients. The PA group had anomia, decreased letter fluency, neologisms, difficulty on phrase repetition, decreased phrase length, and a decreased rate of verbal output. Interference from paraphasic anomia accounted for much of their decreased fluency. Conclusion: Many patients with PA have a primary defect in accessing sound-based representation of speech (phonemes), similar to conduction aphasia, possibly as a consequence of disturbed white matter tracts in the left superior temporal region.