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As the population ages, the prevalence of cognitive impairment due to neurodegenerative diseases such as Alzheimer disease (AD) is expected to double in the United States to nearly 14 million over the next 40 years. AD and related dementias (ADRD) are a leading cause of morbidity and mortality and among the costliest to society. Although emerging biomedical interventions for ADRD focus on early stages and are currently limited to AD, care management can benefit patients with ADRD across the disease course. Moreover, some causes of cognitive impairment are modifiable, and optimal overall management may slow or prevent additional decline. Nevertheless, a sizable proportion of cases of cognitive impairment among older adults remain undiagnosed. Primary care practitioners are often the first health care professionals to encounter cognitive concerns or to be able to observe changes in function resulting from cognitive impairment; hence, they have much to contribute to population health solutions for detecting cognitive impairment among older adults. In this report, we present key points and gaps in knowledge about methods for detecting cognitive impairment in primary care clinics. These were developed via an interdisciplinary Geriatrics Summit hosted by the National Academy of Neuropsychology in 2022, attended by representatives of national organizations engaged in work to improve care of older adults. We propose a novel workflow to facilitate detecting cognitive impairment during routine primary care, focusing on opportunities provided by the annual wellness visit, a preventive visit available to Medicare beneficiaries, along with additional recommendations and opportunities for clinical practice and research., INTRODUCTION As the global population continues to age, the prevalence of cognitive impairment impacting health and independence is expected to rise dramatically. For example, in the United States alone, the [...]

Background: Mild cognitive impairment (MCI) and late-life depression are clinical syndromes that often co-occur and may represent an early manifestation of neurodegenerative disease. The present study examined white matter microstructure in patients with MCI with and without a history of major depression compared with healthy controls. Methods: Older adults with MCI and no history of major depression (MCI), adults with MCI and euthymic major depression (MCI-MD) and healthy controls underwent comprehensive medical, psychiatric and neuropsychological assessments. Participants also underwent diffusion tensor imaging, which was analyzed using tract-based spatial statistics. White matter hyperintensity (WMH) burden and medical burden were also quantified. Results: We enrolled 30 participants in the MCI group, 36 in the MCI-MD group and 22 in the control group. Compared with controls, participants in the MCI group had significantly reduced fractional anisotropy (FA) in the corpus callosum, superior longitudinal fasciculus (SLF), corona radiata and posterior thalamic radiation. Participants in the MCI-MD group had significantly reduced FA in the corpus callosum, internal capsule, external capsule, corona radiata, posterior thalamic radiation, sagittal striatum, fornix, SLF, uncinate fasciculus and right cingulum compared with controls. No significant differences in FA were observed between the MCI and MCI-MD groups. Participants in the MCI-MD group had greater medical burden (p = 0.020) and WMH burden than controls (p = 0.013). Limitations: Study limitations include the crosssectional design and antidepressant medication use. Conclusion: To our knowledge, this study is the first to compare white matter microstructure in patients with MCI with and without a history of major depression and suggests that a common underlying structural white matter change may underpin cognitive impairment in both MCI groups. Further research is needed to delineate the pathophysiological mechanisms underlying these microstructural changes., Introduction Mild cognitive impairment (MCI) and late-life depression are common and disabling disorders and are both independently associated with an increased risk of dementia, including Alzheimer disease (1,2) and vascular [...]