Assessing the Longitudinal Impact of Physician-Patient Relationship on Functional Health.

PURPOSE: Access to a usual source of care is associated with improved health outcomes, but research on how the physician-patient relationship affects a patient's health, particularly long-term, is limited. The aim of this study was to investigate the longitudinal effect of changes in the physician-patient relationship on functional health. METHODS: We conducted a prospective cohort study using the Medical Expenditure Panel Survey (MEPS, 2015-2016). The outcome was 1-year change in functional health (12-Item Short-Form Survey). The predictors were quality of physician-patient relationship, and changes in this relationship, operationalized with the MEPS Primary Care (MEPS-PC) Relationship subscale, a composite measure with preliminary evidence of reliability and validity. Confounders included age, sex, race/ethnicity, educational attainment, insurance status, US region, and multimorbidity. We conducted analyses with survey-weighted, covariate-adjusted, predicted marginal means, used to calculate Cohen effect estimates. We tested differences in trajectories with multiple pairwise comparisons with Tukey contrasts. RESULTS: Improved physician-patient relationships were associated with improved functional health, whereas worsened physician-patient relationships were associated with worsened functional health, with 1-year effect estimates ranging from 0.05 (95% CI, 0-0.10) to 0.08 (95% CI, 0.02-0.13) compared with -0.16 (95% CI, -0.35 to -0.03) to -0.33 (95% CI, -0.47 to -0.02), respectively. CONCLUSION: The quality of the physician-patient relationship is positively associated with functional health. These findings could inform health care strategies and health policy aimed at improving patient-centered health outcomes.

Validating the New Primary Care Measure in the Medical Expenditure Panel Survey.

BACKGROUND: The advancement of primary care research requires reliable and validated measures that capture primary care processes embedded within nationally representative datasets. OBJECTIVE: The objective of this study was to assess the validity of a newly developed measure of primary care processes [Medical Expenditure Panel Survey (MEPS)-PC] with preliminary evidence of moderate to excellent reliability. STUDY DESIGN: A retrospective cohort study of community-dwelling adults with history of office-based provider visit/s using the MEPS (2013-2014). METHODS: The 3 MEPS-PC subscales (Relationship, Comprehensiveness, and Health Promotion) were tested for construct validity against known measures of primary care: Usual Source of Care, Known Provider, and Family-Usual Source of Care. Concurrent and predictive logistic regression analyses were calculated and compared with a priori hypotheses for direction and strength of association. RESULTS: For concurrent validity, all odds ratio estimates conformed with hypotheses, with 91% displaying statistical significance. For predictive validity, all estimates were in the direction of hypotheses, with 92% displaying statistically significant results. Although Relationship and Health Promotion subscales conformed uniformly with hypotheses, the Comprehensiveness subscale yielded significant results in 60% of bivariate odds ratio estimates (P<0.05). CONCLUSION: The MEPS-PC composite measures display modest to strong preliminary evidence of concurrent and predictive validity relative to known indicators of primary care. IMPLICATIONS FOR POLICY AND PRACTICE: The MEPS-PC composite measures display preliminary evidence of concurrent and predictive construct validity, and it may be useful to researchers investigating primary care processes and complexities in the health care environment.

Complex Multimorbidity and Breast Cancer Screening Among Midlife and Older Women: The Role of Perceived Need.

BACKGROUND AND OBJECTIVES: There is minimal survival benefit to cancer screening for those with poor clinical presentation (complex multimorbidity) or at advanced ages. The current screening mammography guidelines consider these objective indicators. There has been less attention, however, to women's subjective assessment of screening need. This study examines the interplay between complex multimorbidity, age, and subjective assessments of health and longevity for screening mammography receipt. RESEARCH DESIGN AND METHOD: This cross-sectional study uses self-reported data from 8,938 women over the age of 52 in the 2012 Health and Retirement Study. Logistic regression models estimated the association between women's complex multimorbidity (co-occurrence of chronic conditions, functional limitations, and/or geriatric syndromes), subjective health and longevity assessments, age, and screening mammography in the 2 years before the interview. These associations were evaluated adjusting for sociodemographic and behavioral factors. RESULTS: Both age and complex multimorbidity were negatively associated with screening mammography. However, women's perceived need for screening moderated these effects. Most significantly, women optimistic about their chances of living another 10-15 years were more likely to have had screening mammography regardless of their health conditions or advanced age. DISCUSSION AND IMPLICATIONS: Women with more favorable self-assessed health and perceived life expectancy were more likely to receive screening mammography even if they have poor clinical presentation or advanced age. This is contrary to current cancer screening guidelines and suggests an opportunity to engage women's subjective health and longevity assessments for cancer screening decision making in both for screening policy and in individual clinician recommendations.

Developing a New Measure of Primary Care Using the Medical Expenditure Panel Survey.

OBJECTIVE: To develop and assess the reliability of a measure of primary care using items from the Medical Expenditure Panel Survey (MEPS), a US representative survey of community-dwelling persons. METHODS: On the basis of the domains from the literature on primary care characteristics, we identified relevant items within the 2013-2014 MEPS family of surveys. In a sample of primary survey respondents with at least 1 office-based physician visit in the last 12 months, we conducted exploratory factor analysis, retaining items with a factor loading of 0.30 and factors ≥3 items. Using a hold-out sample, internal consistency, reproducibility, and confirmatory factor analyses were performed. RESULTS: On the basis of 16 care domains, we found 32 candidate items in the MEPS. Factor analyses of data from 4549 persons meeting inclusion criteria (27.6% of the total sample), yielded 3 unique factors involving 24 items. We named these subscales Relationship, Comprehensiveness, and Health Promotion, displaying internal consistency reliability of 0.86, 0.78, and 0.69, respectively. Confirmatory factor analysis corroborated the stability of the exploratory findings in the hold out sample. Sensitivity analyses showed robustness to differences in underlying correlation structure, alternative approach to missing data, and extension to indirect survey respondents. CONCLUSIONS: The MEPS Primary Care measure with 3 subscales is reliable and may be useful in conducting primary care health services and outcomes research in the rich MEPS dataset. Further validation is needed, and is described in a companion paper.

The Influence of Multimorbidity on Leading Causes of Death in Older Adults With Cognitive Impairment.

Objective: The aim of this study is to evaluate the relationship of leading causes of death with gradients of cognitive impairment and multimorbidity. Method: This is a population-based study using data from the linked 1992-2010 Health and Retirement Study and National Death Index (n = 9,691). Multimorbidity is defined as a combination of chronic conditions, functional limitations, and geriatric syndromes. Regression trees and Random Forest identified which combinations of multimorbidity associated with causes of death. Results: Multimorbidity is common in the study population. Heart disease is the leading cause in all groups, but with a larger percentage of deaths in the mild and moderate/severe cognitively impaired groups than among the noncognitively impaired. The different "paths" down the regression trees show that the distribution of causes of death changes with different combinations of multimorbidity. Discussion: Understanding the considerable heterogeneity in chronic conditions, functional limitations, geriatric syndromes, and causes of death among people with cognitive impairment can target care management and resource allocation.

Increasing Burden of Complex Multimorbidity Across Gradients of Cognitive Impairment.

INTRODUCTION: This study evaluates the burden of multimorbidity (MM) across gradients of cognitive impairment (CI). METHODS: Using data from the 2010 Health and Retirement Study, we identified individuals with no CI, mild CI, and moderate/severe CI. In addition, we adopted an expansive definition of complex MM by accounting for the occurrence and co-occurrence of chronic conditions, functional limitations, and geriatric syndromes. RESULTS: In a sample of 18 913 participants (weighted n = 87.5 million), 1.93% and 1.84% presented with mild and moderate/severe CI, respectively. The prevalence of most conditions constituting complex MM increased markedly across the spectrum of CI. Further, the percentage of individuals presenting with 10 or more conditions was 19.9%, 39.3%, and 71.3% among those with no CI, mild CI, and moderate/severe CI, respectively. DISCUSSION: Greater CI is strongly associated with increased burden of complex MM. Detailed characterization of MM across CI gradients will help identify opportunities for health care improvement.

Using Claims Data to Examine Hospital Readmission Risk in Patients With Schizophrenia and Comorbid Marijuana Use Disorders.

OBJECTIVE: Few epidemiologic studies have examined marijuana use disorder and repeated hospitalizations related to schizophrenia. To address this gap, this study examines time to readmission by indicators for recent marijuana use disorder in the presence of alcohol use disorder (AUD) and other drug use disorder. METHOD: Our sample consisted of 4,349 patients with a primary diagnosis of schizophrenia spectrum disorder (SSD) in 2005 in individually linked California Health Care Cost and Utilization Project (CA HCUP) data. Readmissions were assessed from 2005 to 2011. Predictors for readmission were examined using a stratified, recurrent-event, Cox proportional hazards model. Sensitivity analyses were conducted on patients readmitted in 2010 or 2011. RESULTS: We found that having marijuana use disorder or AUD alone within 90 days of initial hospitalization was associated with longer times until first readmission. A lower risk of readmission for those with recent marijuana use disorder persisted through the fifth readmission (hazard ratio [HR] = 0.92, 95% CI [0.85, 0.99]) but was not significant in the sixth or greater readmission nor in sensitivity analyses. SSD patients with recent other drug use disorder had an increased risk for a second to fifth readmission (HR = 1.13, 95% CI [1.06, 1.20]). Those with recent AUD had an increased risk for a sixth or greater readmission (HR = 1.15, 95% CI [1.07, 1.23]). Both of these results remained significant in the sensitivity analysis. CONCLUSIONS: We found that AUD and other drug use disorder increase readmission risk in patients with SSD after a first hospitalization, whereas marijuana use disorder does not appear to be associated with an increased risk for readmission.

Patient-rated versus proxy-rated cognitive and functional measures in older adults.

OBJECTIVES: Patients with cognitive impairment may have difficulty reporting their functional and cognitive abilities, which are important clinical outcomes. Health care proxies may be able to corroborate patient self-reports. Several studies reported discrepancy between patient and proxy ratings, though the literature is sparse on changes over time of these ratings. Our goals in this 12-month study were to compare patient and proxy reports on functioning, cognition, and everyday executive function, and to further elucidate correlates of patient-proxy discrepancy. METHODS: This was a prospective cohort study of individuals older than 70 years who ranged from having no cognitive impairment to having moderate dementia who had a proxy available to complete instruments at baseline (N=76). Measurements included Alzheimer's Disease Cooperative Study-Activities of Daily Living Inventory (ADCS-ADLI), Neuro-QOL Executive Function, PROMIS Applied Cognition (PROMIS-Cog), Mini-Mental State Examination (MMSE), and Geriatric Depression Scale. RESULTS: Patient- and proxy-rated ADCS-ADLI were correlated at baseline and at 1-year follow-up. Patient and proxy ratings were discrepant on Neuro-QOL Executive Function and PROMIS-Cog. Greater patient-proxy discrepancy on PROMIS-Cog was associated with younger age and less depression, and greater patient-proxy discrepancy on Neuro-QOL Executive Function was associated with less depression and worse cognitive impairment. Patient-proxy discrepancy increased over time for everyday executive function. Changes in proxy-rated but not patient-rated ADCS-ADLI correlated with MMSE changes. CONCLUSION: Patients and proxies generally agree in reporting on activities of daily living. Patient and proxy reports differ in their respective evaluation of cognitive functioning and everyday executive function. Ratings from both sources may be preferred for these two domains, though studies using gold standard measures are necessary. It is important that clinicians are aware of the differences between patient and proxy perspective to create an accurate clinical picture and guide treatment.

Evaluating PROMIS(®) applied cognition items in a sample of older adults at risk for cognitive decline.

PROMIS(®) Applied Cognition is a short self-assessment of cognitive abilities and concerns that eliminates the need for a trained rater and provides online question banks that can be uniformly used across health care providers. This 12-month prospective study of 281 elderly individuals evaluates self-perceptions of cognitive functioning in relation to objective cognition, or assessment by an external rater, and compares PROMIS® Applied Cognition Abilities and Concerns subsets with commonly used "legacy" instruments. PROMIS® correlated with objective legacy measures (the Mini-Mental State Examination [MMSE] and Saint Louis University Mental Status [SLUMS] examination), depression (measured with the Geriatric Depression Scale [GDS]), anxiety, and activities of daily living. PROMIS® and MMSE correlations remained after controlling for depression and anxiety. PROMIS® associated more strongly than MMSE with depression, highlighting the relationship between subjective cognitive deficit and depression. One-year changes in PROMIS® correlated with one-year changes in MMSE and GDS. The PROMIS® Abilities subset more strongly correlated with objective cognition, whereas the Concerns subset more strongly correlated with depression and activities of daily living. PROMIS® seems to be a reasonable prescreening tool to identify patients with cognitive decline or psychological distress.

Detrending Changes the Temporal Dynamics of a Semantic Fluency Task.

Objective: To study the dynamics of clustering semantic fluency responses and switching between clusters. Methods: We conducted a cross-sectional study of participants (N = 60) in a study of patient reported outcomes who were given the Saint Louis University Mental Status test. Sixty-second animal naming tests were scored for the timing of responses as well as the clustering of responses into semantic categories. Time scores were detrended to correct for exponential exhaustion and normalize the time scale across individuals. Results: Grouped by number of responses given, low performers (LP; Carter et al., 2012) switched between clusters fewer times than medium performers (MP) and high performers (HP). Prior to detrending, LP showed increased intracluster response times when compared to the other groups, but no differences were shown in intercluster response times. After detrending, however, the difference in intracluster response times disappeared and LP showed significantly faster detrended intercluster response times compared to both MP and HP. Conclusion: Prior to detrending, slower intracluster response times appear to be driving poorer performance. When time scores are detrended, our findings suggest that LP participants have quicker intercluster response times but exhaust more quickly as well. Detrending can help describe the interplay between the structure-loss and retrieval-slowing models of declining semantic fluency by isolating the component mechanisms involved in each.

Detecting Change over Time: A Comparison of the SLUMS Examination and the MMSE in Older Adults at Risk for Cognitive Decline.

AIMS: To directly compare the 1-year stability of Mini-Mental State Examination (MMSE) score and Saint Louis University Mental Status (SLUMS) examination score and correlate score changes with demographic variables, clinical factors, and functional domains. METHODS: A sample of 304 study participants was recruited from residential and clinical settings in Ohio. Follow-up assessments were administered after 1 year with a retention rate of 92% (n = 281). Functional domains included the Instrumental Activities of Daily Living (IADL) scale. RESULTS: MMSE and SLUMS scores correlated with each other (r = 0.65, P < 0.001) and with two functional measures, including the IADL (r = 0.27, r = 0.24, P < 0.001). However, the MMSE and SLUMS frequently placed the same subject into different categories. Rates of reversion and conversion varied between the two tests. The 1-year changes in MMSE raw score correlated with changes in three functional domains as well as age (P < 0.05), while SLUMS raw score changes did not correlate with any functional measures. CONCLUSION: Our large, longitudinal data set allowed us to compare the tests' stability, which differed between the SLUMS and MMSE. The MMSE may be more sensitive than the SLUMS to 1-year cognitive changes influencing functional abilities.

Combinations of Chronic Conditions, Functional Limitations, and Geriatric Syndromes that Predict Health Outcomes.

BACKGROUND: The strategic framework on multiple chronic conditions released by the US Department of Health and Human Services calls for identifying homogeneous subgroups of older adults to effectively target interventions aimed at improving their health. OBJECTIVE: We aimed to identify combinations of chronic conditions, functional limitations, and geriatric syndromes that predict poor health outcomes. DESIGN, SETTING AND PARTICIPANTS Data from the 2010-2012 Health and Retirement Study provided a representative sample of U.S. adults 50 years of age or older (n = 16,640). MAIN MEASURES: Outcomes were: Self-reported fair/poor health, self-rated worse health at 2 years, and 2-year mortality. The main independent variables included self-reported chronic conditions, functional limitations, and geriatric syndromes. We conducted tree-based classification and regression analysis to identify the most salient combinations of variables to predict outcomes. KEY RESULTS: Twenty-nine percent and 23 % of respondents reported fair/poor health and self-rated worse health at 2 years, respectively, and 5 % died in 2 years. The top combinations of conditions identified through our tree analysis for the three different outcome measures (and percent respondents with the outcome) were: a) for fair/poor health status: difficulty walking several blocks, depressive symptoms, and severe pain (> 80 %); b) for self-rated worse health at 2 years: 68.5 years of age or older, difficulty walking several blocks and being in fair/poor health (60 %); and c) for 2-year mortality: 80.5 years of age or older, and presenting with limitations in both ADLs and IADLs (> 40 %). CONCLUSIONS: Rather than chronic conditions, functional limitations and/or geriatric syndromes were the most prominent conditions in predicting health outcomes. These findings imply that accounting for chronic conditions alone may be less informative than also accounting for the co-occurrence of functional limitations and geriatric syndromes, as the latter conditions appear to drive health outcomes in older individuals.

Evaluating PROMIS Physical Function Measures in Older Adults at Risk for Alzheimer's Disease.

Activities of daily living can be affected by cognitive decline. Self-report measurement of functioning is attractive due to ease of data collection, low cost, and accessibility via technology-assisted means, and for understanding patient perspective. A concern is with reliability of such measurement as cognitive decline occurs. We compared a widely used, self-report "legacy" measure of functioning, Lawton and Brody's Instrumental Activities of Daily Living Scale (IADLS), with a subset of physical functioning items from the Patient-Reported Outcomes Measurement Information System (PROMIS). The study sample consisted of 304 individuals of varying cognitive status: normal, mild cognitive impairment (MCI), or early dementia. An expert consensus method was used to select PROMIS functional items most relevant to neurocognitive disorder and to identify major functional sub-domains. Selected PROMIS functional subscales and the IADLS were then evaluated with respect to cognitive status. Few PROMIS functional items were useful in identifying MCI, while we reaffirmed the utility of the IADLS. Also, even mild depression levels were found to have negative effects on functioning according to both PROMIS and IADLS.

Comparing Patient-Reported Outcomes Measure Information System Depression Scale with Legacy Depression Measures in a Community Sample of Older Adults with Varying Levels of Cognitive Functioning.

OBJECTIVE: This study evaluated the utility of Patient-Reported Outcomes Measure Information System Depression Scale (PROMIS-8a) compared with selected "Legacy" depression scales, including the Montgomery-Asberg Depression Rating Scale (MADRS), Geriatric Depression Scale (GDS), and GDS-Short Form (GDS-SF). Additionally, the measures' properties were assessed across levels of cognitive functioning. METHODS: This cross-sectional analysis was extracted from a prospective cohort study. PROMIS-8a and Legacy depression measures were administered to individuals aged at least 70 years grouped by cognitive status based on the Saint Louis University Mental Status Examination. McNemar tests were run to determine if measures categorized the absence or presence of depression differently and item analysis evaluated classification discrepancies. RESULTS: Sample mean age was 78, and most participants were women (71%), white (79%), with at least a high school education (89%). The percentage of individuals with at least mild depression was similar across measures (20.7% PROMIS-8a, 19.0% MADRS, 17.9% GDS, 13.9% GDS-SF). PROMIS-8a total score correlated moderately with MADRS (r = 0.56, df = 295, p <0.01), GDS (r = 0.68, df = 291, p <0.01), and GDS-SF (r = 0.60, df = 291, p <0.01), and predictive validity of the measures was similar. There were no significant mean differences on depression measures by cognitive status. CONCLUSION: Although all measures identified a similar percent of depressed individuals, the classification differed by measure. Item analysis showed that PROMIS-8a was more likely to identify feelings of dysphoria while the MADRS and GDS were more likely to identify physiologic aspects of depression. Given the brevity and ease of administration of the PROMIS-8a, it appears to be a useful depression screen for community-dwelling older adults.

Quality of in-home care, long-term care placement, and the survival of persons with dementia.

PURPOSE OF THE STUDY: Caregivers of persons with dementia living at home adopt a variety of caregiving styles that vary in quality. Three styles of high-quality care and poor-quality care have been identified. The outcomes, however, of varying styles of caregiving are unknown. Our purpose was to investigate the linkage of quality of care to long-term care placement and survival. DESIGN AND METHODS: We used a sample of 148 primary caregivers of a relative living at home and needing assistance due to memory or thinking problems. We used items from four existing scales and five new items to construct measures of high-quality and poor-quality care. Long-term care and survival were determined from two follow-ups. Cox proportional hazards regression was used to estimate the relationship of quality of care to long-term care placement and survival. RESULTS: Poor quality of care increased the risk of long-term care placement, as expected, but high-quality care was not related to placement. Surprisingly, high-quality care increased the risk of death while poor-quality care decreased the risk. Secondary results were: wishful/intrapsychic coping (a dysfunctional type of emotion-focused coping) and long-term care placement shortened the survival; and caregiver personality traits of neuroticism and agreeableness lengthened the survival. IMPLICATIONS: It is premature to recommend caregiver interventions based on our unexpected findings. Further studies are vital and should include care-recipient impairments and the quality of life of the person with dementia as additional outcomes.

Global medical education partnerships to expand specialty expertise: a case report on building neurology clinical and research capacity.

BACKGROUND: Neurological disorders are a common cause of morbidity and mortality in sub-Saharan African, but resources for their management are scarce. Collaborations between training institutions in developed and resource-limited countries can be a successful model for supporting specialty medical education and increasing clinical and research capacity. CASE REPORT: This report describes a US National Institutes of Health (NIH) funded Medical Education Partnership Initiative (MEPI) to enhance expertise in neurology, developed between Makerere University College of Health Sciences in Kampala, Uganda, and Case Western Reserve University School of Medicine in Cleveland, OH, USA. This collaborative model is based on a successful medical education and research model that has been developed over the past two decades. The Ugandan and US teams have accumulated knowledge and 'lessons learned' that facilitate specialty expertise in neurological conditions, which are widespread and associated with substantial disability in resource-limited countries. Strengths of the model include a focus on community health care settings and a strong research component. Key elements include strong local leadership; use of remote technology, templates to standardize performance; shared exchanges; mechanisms to optimize sustainability and of dissemination activities that expand impact of the original initiative. Efficient collaborations are further enhanced by external and institutional support, and can be sequentially refined. CONCLUSION: Models such as the Makerere University College of Health Sciences - Case Western Reserve University partnership may help other groups initiate collaborative education programmes and establish successful partnerships that may provide the opportunity to expand to other chronic diseases. A benefit of collaboration is that learning is two-directional, and interaction with other international medical education collaborators is likely to be of benefit to the larger global health community.

Quality of informal care for persons with dementia: dimensions and correlates.

OBJECTIVES: The majority of persons with dementia live in the community where most of their care is provided by family members. We aimed to expand our limited knowledge about the styles of high-quality care, such as person-centered care, and poor-quality care adopted by these informal caregivers and the characteristics of those who provide better care. METHOD: We conducted a mail survey of 148 family caregivers. Caregiving styles were measured with items from existing scales that had not been analyzed together before. Factor analysis of these items was used to identify styles of caregiving, and structural equation modeling was used to identify their relationships with caregiver and care-recipient characteristics. RESULTS: Three high quality-of-care factors (personalized, respectful, and compensatory) and three poor quality-of-care factors (punitive, controlling, and withdrawing) were found. The personality traits of agreeableness, openness, conscientiousness, and neuroticism were related to higher quality of care, and the trait of extraversion was related to poorer quality of care. Wishful coping - an avoidance/escape strategy - was linked to poorer quality of care. CONCLUSION: We discovered new dimensions of quality of care, some consistent with person-centered care and some antithetical to this model, and we identified for the first time caregiver personality traits and coping strategies associated with better quality of care. These results may be useful in targeting caregiver interventions to benefit both caregivers and care recipients.

Modeling the heterogeneity in risk of progression to Alzheimer's disease across cognitive profiles in mild cognitive impairment.

INTRODUCTION: Heterogeneity in risk of conversion to Alzheimer's disease (AD) among individuals with mild cognitive impairment (MCI) is well known. Novel statistical methods that are based on partially ordered set (poset) models can be used to create models that provide detailed and accurate information about performance with specific cognitive functions. This approach allows for the study of direct links between specific cognitive functions and risk of conversion to AD from MCI. It also allows for further delineation of multi-domain amnestic MCI, in relation to specific non-amnestic cognitive deficits, and the modeling of a range of episodic memory functioning levels. METHODS: From the Alzheimer's Disease Neuroimaging Initiative (ADNI) study, conversion at 24 months of 268 MCI subjects was analyzed. It was found that 101 of those subjects (37.7%) converted to AD within that time frame. Poset models were then used to classify cognitive performance for MCI subjects. Respective observed conversion rates to AD were calculated for various cognitive subgroups, and by APOE e4 allele status. These rates were then compared across subgroups. RESULTS: The observed conversion rate for MCI subjects with a relatively lower functioning with a high level of episodic memory at baseline was 61.2%. In MCI subjects who additionally also had relatively lower perceptual motor speed functioning and at least one APOE e4 allele, the conversion rate was 84.2%. In contrast, the observed conversion rate was 9.8% for MCI subjects with a relatively higher episodic memory functioning level and no APOE e4 allele. Relatively lower functioning with cognitive flexibility and perceptual motor speed by itself also appears to be associated with higher conversion rates. CONCLUSIONS: Among MCI subjects, specific baseline cognitive profiles that were derived through poset modeling methods, are clearly associated with differential rates of conversion to AD. More precise delineation of MCI by such cognitive functioning profiles, including notions such as multidomain amnestic MCI, can help in gaining further insight into how heterogeneity arises in outcomes. Poset-based modeling methods may be useful for providing more precise classification of cognitive subgroups among MCI for imaging and genetics studies, and for developing more efficient and focused cognitive test batteries.

Parkinson disease: research update and clinical management.

More than 1 million people in the United States have Parkinson disease (PD), more than are diagnosed as having multiple sclerosis, amyotrophic lateral sclerosis, muscular dystrophy, and myasthenia gravis combined. PD affects approximately 1 in 100 Americans older than 60 years. It burdens patients, their care partners, and the overall healthcare system. This article reviews the epidemiology, clinical features, putative environmental risk and protective factors, neuropathological aspects, heterogeneity, medical management, and recent studies regarding genetics and PD. The article suggests that based on new research, the prevalence of PD varies in different regions of the United States. Some progress has been made in identifying the risk and protective factors of PD, and a newly emphasized area of study in PD is genetics. Patient care recommendations, based on American Academy of Neurology practice guidelines, are outlined to show the state of contemporary medical management of PD and related disorders.