Older adults' self-reported prospective memory lapses in everyday life: Connections to inflammation and gender.

OBJECTIVE: Limited research has focused on the association between inflammatory markers and features of subjective cognitive functioning among older adults. The present work examined links between inflammation and a specific subjective cognitive report: prospective memory (PM), or our memory for future intentions, such as attending an appointment or taking medication. METHOD: We assessed self-reported PM lapses using a two-week ecological momentary assessment (EMA) diary protocol via smartphone as well as levels of blood-based inflammation among 231 dementia-free older adults (70-90 years, 66% women) enrolled in the Einstein Aging Study. RESULTS: Overall, PM lapses were largely unrelated to inflammatory markers. However, a significant gender difference was observed in the link between basal levels of interleukin (IL)-8 and PM lapses: higher levels of basal IL-8 were associated with more PM lapses among men (estimate = 0.98, 95%CI: [0.43, 1.53], p < .001) but not women (estimate = -0.03, 95%CI: [-0.45, 0.39], p = .826). No other significant relationships between PM lapses and basal or stimulated (ex vivo) cytokine levels (IL-1ß, IL-4, IL-6, IL-8, IL-10, tumor necrosis factor-alpha [TNF-α]) or C-reactive protein (CRP) emerged. CONCLUSION: Elevated levels of IL-8 in older men may possibly be an early indicator of neurodegeneration that relates to PM performance. Future studies should continue to examine PM and inflammation across genders to identify possible mechanisms through which these constructs may indicate neurodegeneration and dementia risk.

Guidelines of the International Headache Society for Controlled Clinical Trials in Idiopathic Intracranial Hypertension.

The quality of clinical trials is essential to advance treatment, inform regulatory decisions and meta-analysis. With the increased incidence of idiopathic intracranial hypertension and the emergence of clinical trials for novel therapies in this condition, the International Headache Society Guidelines for Controlled Clinical Trials in Idiopathic Intracranial Hypertension aims to establish guidelines for designing state-of-the-art controlled clinical trials for idiopathic intracranial hypertension.

Risk factors for migraine disease progression: a narrative review for a patient-centered approach.

BACKGROUND: In individuals with migraine, attacks may increase in frequency, severity, or both. Preventing migraine progression has emerged as a treatment goal in headache subspecialty practice, but there may be less awareness in general neurology or primary care settings where most people with migraine who seek treatment consult. Herein, we review the definition of and risk factors for migraine progression and consider strategies that could reduce its risk. METHODS: A group of headache expert healthcare professionals, clinicians, and researchers reviewed published evidence documenting factors associated with increased or decreased rates of migraine progression and established expert opinions for disease management recommendations. Strength of evidence was rated as good, moderate, or based solely on expert opinion, using modified criteria for causation developed by AB Hill. RESULTS: Migraine progression is commonly operationally defined as the transition from ≤ 15 to ≥ 15 monthly headache days among people with migraine; however, this does not necessarily constitute a fundamental change in migraine biology and other definitions should be considered. Established and theoretical key risk factors for migraine progression were categorized into five domains: migraine disease characteristics, treatment-related factors, comorbidities, lifestyle/exogenous factors, and demographic factors. Within these domains, good evidence supports the following risk factors: poorly optimized acute headache treatment, cutaneous allodynia, acute medication overuse, selected psychiatric symptoms, extra-cephalic chronic pain conditions, metabolism-related comorbidities, sleep disturbances, respiratory conditions, former/current high caffeine intake, physical inactivity, financial constraints, tobacco use, and personal triggers as risk factors. Protective actions that may mitigate migraine progression are sparsely investigated in published literature; our discussion of these factors is primarily based on expert opinion. CONCLUSIONS: Recognizing risk factors for migraine progression will allow healthcare providers to suggest protective actions against migraine progression (Supplementary Fig. 1). Intervention studies are needed to weight the risk factors and test the clinical benefit of hypothesized mitigation strategies that emerge from epidemiological evidence.

Depressive symptoms mediate the relationship between diabetes and cognitive performance in a community-based sample of older adults.

AIMS: To evaluate whether diabetes and prediabetes are associated with impaired cognitive performance among older adults and examine depressive symptoms as a mediator. METHODS: We used cross-sectional data from the Einstein Aging Study, a systematically recruited, community-based cohort study of diverse older adults (N = 794; Age Mean (SD) = 78.9 (5.3); 64.4% Non-Hispanic White, 28.7% Non-Hispanic Black, 5.7% Hispanic). Diabetes status was established via self-reported diagnosis, prescribed medications, and fasting blood glucose. Depressive symptoms were assessed using the Geriatric Depression Scale. Cognitive tests included Digit Symbol, Trails-B, Free Recall, Category Fluency, Boston Naming, and Block Design. Linear regression and mediation analyses were applied. RESULTS: Compared to those without diabetes, diabetes was associated with worse performance on all cognitive tests (ps < 0.05), except Trails-B (p = 0.53), and increased depressive symptoms (p < 0.01). For diabetes, mediation via increased depressive symptoms was observed for Free Recall (p = 0.044), Category Fluency (p = 0.033), and Boston Naming (p = 0.048). CONCLUSIONS: Diabetes was consistently associated with worse cognitive performance and increased depressive symptoms among this older cohort, while prediabetes was not. Mediation findings suggest depressive symptoms may be a biobehavioral pathway linking diabetes and cognition, though the temporal sequence is unclear. If causal, addressing both diabetes and depressive symptoms among older adults may protect cognitive function.

Predicting Amyloid Positivity in Cognitively Unimpaired Older Adults: A Machine Learning Approach Using A4 Data.

BACKGROUND AND OBJECTIVES: To develop and test the performance of the Positive Aß Risk Score (PARS) for prediction of ß-amyloid (Aß) positivity in cognitively unimpaired individuals for use in clinical research. Detecting Aß positivity is essential for identifying at-risk individuals who are candidates for early intervention with amyloid targeted treatments. METHODS: We used data from 4,134 cognitively normal individuals from the Anti-Amyloid Treatment in Asymptomatic Alzheimer's (A4) Study. The sample was divided into training and test sets. A modified version of AutoScore, a machine learning-based software tool, was used to develop a scoring system using the training set. Three risk scores were developed using candidate predictors in various combinations from the following categories: demographics (age, sex, education, race, family history, body mass index, marital status, and ethnicity), subjective measures (Alzheimer's Disease Cooperative Study Activities of Daily Living-Prevention Instrument, Geriatric Depression Scale, and Memory Complaint Questionnaire), objective measures (free recall, Mini-Mental State Examination, immediate recall, digit symbol substitution, and delayed logical memory scores), and APOE4 status. Performance of the risk scores was evaluated in the independent test set. RESULTS: PARS model 1 included age, body mass index (BMI), and family history and had an area under the curve (AUC) of 0.60 (95% CI 0.57-0.64). PARS model 2 included free recall in addition to the PARS model 1 variables and had an AUC of 0.61 (0.58-0.64). PARS model 3, which consisted of age, BMI, and APOE4 information, had an AUC of 0.73 (0.70-0.76). PARS model 3 showed the highest, but still moderate, performance metrics in comparison with other models with sensitivity of 72.0% (67.6%-76.4%), specificity of 62.1% (58.8%-65.4%), accuracy of 65.3% (62.7%-68.0%), and positive predictive value of 48.1% (44.1%-52.1%). DISCUSSION: PARS models are a set of simple and practical risk scores that may improve our ability to identify individuals more likely to be amyloid positive. The models can potentially be used to enrich trials and serve as a screening step in research settings. This approach can be followed by the use of additional variables for the development of improved risk scores. CLASSIFICATION OF EVIDENCE: This study provides Class II evidence that in cognitively unimpaired individuals PARS models predict Aß positivity with moderate accuracy.

Leveraging machine learning predictive biomarkers to augment the statistical power of clinical trials with baseline magnetic resonance imaging.

A key factor in designing randomized clinical trials is the sample size required to achieve a particular level of power to detect the benefit of a treatment. Sample size calculations depend upon the expected benefits of a treatment (effect size), the accuracy of measurement of the primary outcome, and the level of power specified by the investigators. In this study, we show that radiomic models, which leverage complex brain MRI patterns and machine learning, can be utilized in clinical trials with protocols that incorporate baseline MR imaging to significantly increase statistical power to detect treatment effects. Akin to the historical control paradigm, we propose to utilize a radiomic prediction model to generate a pseudo-control sample for each individual in the trial of interest. Because the variability of expected outcome across patients can mask our ability to detect treatment effects, we can increase the power to detect a treatment effect in a clinical trial by reducing that variability through using radiomic predictors as surrogates. We illustrate this method with simulations based on data from two cohorts in different neurologic diseases, Alzheimer's disease and glioblastoma multiforme. We present sample size requirements across a range of effect sizes using conventional analysis and models that include a radiomic predictor. For our Alzheimer's disease cohort, at an effect size of 0.35, total sample size requirements for 80% power declined from 246 to 212 for the endpoint cognitive decline. For our glioblastoma multiforme cohort, at an effect size of 1.65 with the endpoint survival time, total sample size requirements declined from 128 to 74. This methodology can decrease the required sample sizes by as much as 50%, depending on the strength of the radiomic predictor. The power of this method grows with increased accuracy of radiomic prediction, and furthermore, this method is most helpful when treatment effect sizes are small. Neuroimaging biomarkers are a powerful and increasingly common suite of tools that are, in many cases, highly predictive of disease outcomes. Here, we explore the possibility of using MRI-based radiomic biomarkers for the purpose of improving statistical power in clinical trials in the contexts of brain cancer and prodromal Alzheimer's disease. These methods can be applied to a broad range of neurologic diseases using a broad range of predictors of outcome to make clinical trials more efficient.

Does Mindfulness-Based Cognitive Therapy for Migraine Reduce Migraine-Related Disability in People with Episodic and Chronic Migraine? A Phase 2b Pilot Randomized Clinical Trial.

OBJECTIVE: The current Phase 2b study aimed to evaluate the efficacy of mindfulness-based cognitive therapy for migraine (MBCT-M) to reduce migraine-related disability in people with migraine. BACKGROUND: Mindfulness-based interventions represent a promising avenue to investigate effects in people with migraine. MBCT teaches mindfulness meditation and cognitive-behavioral skills and directly applies these skills to address disease-related cognitions. METHODS: Participants with migraine (6-30 headache days/month) were recruited from neurology office referrals and local and online advertisements in the broader New York City area. During the 30-day baseline period, all participants completed a daily headache diary. Participants who met inclusion and exclusion criteria were randomized in a parallel design, stratified by chronic migraine status, to receive either 8 weekly individual MBCT-M sessions or 8 weeks of waitlist/treatment as usual (WL/TAU). All participants completed surveys including primary outcome evaluations at Months 0, 1, 2, and 4. All participants completed a headache diary during the 30-day posttreatment evaluation period. Primary outcomes were the change from Month 0 to Month 4 in the headache disability inventory (HDI) and the Migraine Disability Assessment (MIDAS) (total score ≥ 21 indicating severe disability); secondary outcomes (headache days/30 days, average headache attack pain intensity, and attack-level migraine-related disability [Migraine Disability Index (MIDI)]) were derived from the daily headache diary. RESULTS: Sixty participants were randomized to receive MBCT-M (n = 31) or WL/TAU (n = 29). Participants (M age = 40.1, SD = 11.7) were predominantly White (n = 49/60; 81.7%) and Non-Hispanic (N = 50/60; 83.3%) women (n = 55/60; 91.7%) with a graduate degree (n = 35/60; 55.0%) who were working full-time (n = 38/60; 63.3%). At baseline, the average HDI score (51.4, SD = 19.0) indicated a moderate level of disability and the majority of participants (50/60, 83.3%) fell in the "Severe Disability" range in the MIDAS. Participants recorded an average of 16.0 (SD = 5.9) headache days/30 days, with an average headache attack pain intensity of 1.7 on a 4-point scale (SD = 0.3), indicating moderate intensity. Average levels of daily disability reported on the MIDI were 3.1/10 (SD = 1.8). For the HDI, mean scores decreased more from Month 0 to Month 4 in the MBCT-M group (-14.3) than the waitlist/treatment as an usual group (-0.2; P < .001). For the MIDAS, the group*month interaction was not significant when accounting for the divided alpha, P = .027; across all participants in both groups, the estimated proportion of participants falling in the "Severe Disability" category fell significantly from 88.3% at Month 0 to 66.7% at Month 4, P < .001. For diary-reported headache days/30 days an average headache attack pain intensity, neither the group*month interaction (Ps = .773 and .888, respectively) nor the time effect (Ps = .059 and .428, respectively) was significant. Mean MIDI scores decreased in the MBCT-M group (-0.6/10), whereas they increased in the waitlist/treatment as an usual group (+0.3/10), P = .007. CONCLUSIONS: MBCT-M demonstrated efficacy to reduce headache-related disability and attack-level migraine-related disability. MBCT-M is a promising emerging treatment for addressing migraine-related disability.

Determinants of cognitive performance and decline in 20 diverse ethno-regional groups: A COSMIC collaboration cohort study.

BACKGROUND: With no effective treatments for cognitive decline or dementia, improving the evidence base for modifiable risk factors is a research priority. This study investigated associations between risk factors and late-life cognitive decline on a global scale, including comparisons between ethno-regional groups. METHODS AND FINDINGS: We harmonized longitudinal data from 20 population-based cohorts from 15 countries over 5 continents, including 48,522 individuals (58.4% women) aged 54-105 (mean = 72.7) years and without dementia at baseline. Studies had 2-15 years of follow-up. The risk factors investigated were age, sex, education, alcohol consumption, anxiety, apolipoprotein E ε4 allele (APOE*4) status, atrial fibrillation, blood pressure and pulse pressure, body mass index, cardiovascular disease, depression, diabetes, self-rated health, high cholesterol, hypertension, peripheral vascular disease, physical activity, smoking, and history of stroke. Associations with risk factors were determined for a global cognitive composite outcome (memory, language, processing speed, and executive functioning tests) and Mini-Mental State Examination score. Individual participant data meta-analyses of multivariable linear mixed model results pooled across cohorts revealed that for at least 1 cognitive outcome, age (B = -0.1, SE = 0.01), APOE*4 carriage (B = -0.31, SE = 0.11), depression (B = -0.11, SE = 0.06), diabetes (B = -0.23, SE = 0.10), current smoking (B = -0.20, SE = 0.08), and history of stroke (B = -0.22, SE = 0.09) were independently associated with poorer cognitive performance (p < 0.05 for all), and higher levels of education (B = 0.12, SE = 0.02) and vigorous physical activity (B = 0.17, SE = 0.06) were associated with better performance (p < 0.01 for both). Age (B = -0.07, SE = 0.01), APOE*4 carriage (B = -0.41, SE = 0.18), and diabetes (B = -0.18, SE = 0.10) were independently associated with faster cognitive decline (p < 0.05 for all). Different effects between Asian people and white people included stronger associations for Asian people between ever smoking and poorer cognition (group by risk factor interaction: B = -0.24, SE = 0.12), and between diabetes and cognitive decline (B = -0.66, SE = 0.27; p < 0.05 for both). Limitations of our study include a loss or distortion of risk factor data with harmonization, and not investigating factors at midlife. CONCLUSIONS: These results suggest that education, smoking, physical activity, diabetes, and stroke are all modifiable factors associated with cognitive decline. If these factors are determined to be causal, controlling them could minimize worldwide levels of cognitive decline. However, any global prevention strategy may need to consider ethno-regional differences.

Cardiovascular disease risk factor burden and cognition: Implications of ethnic diversity within the Hispanic Community Health Study/Study of Latinos.

OBJECTIVE: Hispanics/Latinos have some of the highest prevalence rates for cardiovascular disease risk factors, but stark differences exist by self-reported background. Cardiovascular disease risk factors negatively impact cognition in Hispanics/Latinos; less is known about these relationships by Hispanic/Latino backgrounds. We investigated cognitive associations with cardiovascular disease risk factor burden in a diverse cohort, the Hispanic Community Health Study/Study of Latinos. METHODS: Baseline data from this observational study of cardiovascular disease and its antecedents was collected from 2008-2011. We included 7,121 participants 45-74 years old from Central American, Cuban, Dominican, Mexican, Puerto Rican, or South American backgrounds. Dichotomous indicators for hypertension, diabetes, hypercholesterolemia, obesity, and smoking were evaluated and totaled, with participants grouped by lowest (0-2), middle (3) or highest (4-5) burden. Cognitive testing included the Brief Spanish English Verbal Learning Test, letter fluency, and digit symbol substitution. RESULTS: In separate fully-adjusted linear regression models, lower fluency and digit symbol substitution performance were restricted to the highest compared to the lowest burden group; whereas the middle burden group displayed impaired memory performance compared to the lowest burden group (p-values≤0.05). Background interacted with burden for learning and memory performance. That is, the association of burden level (i.e., lowest, middle, or highest) with cognitive performance was modified by background (e.g., Mexicans vs Cuban). CONCLUSIONS: Hispanics/Latinos with higher levels of cardiovascular disease risk factor burden displayed lower levels of cognitive performance, with learning and memory performance modified by background.

Factors associated with acute medication overuse in people with migraine: results from the 2017 migraine in America symptoms and treatment (MAST) study.

BACKGROUND: The MAST Study is a longitudinal, cross-sectional survey study of US adults with migraine. These analyses were conducted to estimate rates of acute medication overuse (AMO) and determine associations of AMO with individual and headache characteristics. METHODS: Eligible respondents had ICHD-3-beta migraine, reported ≥3 monthly headache days (MHDs) in the past 3 months, ≥1 MHD in the past 30 days, and currently took acute headache medication. AMO was defined according to ICHD-3-beta thresholds for monthly days of medication taking when diagnosing medication overuse headache. RESULTS: Eligible respondents (N = 13,649) had a mean age of 43.4 ± 13.6 years; most were female (72.9%) and Caucasian (81.9%). Altogether, 15.4% of respondents met criteria for AMO. Compared with those not overusing medications, respondents with AMO were significantly more likely to be taking triptans (31.3% vs 14.2%), opioids (23.8% vs 8.0%), barbiturates (7.8% vs 2.7%), and ergot alkaloids (3.1% vs 0.6%) and significantly less likely to be taking NSAIDs (63.3% vs 69.8%) (p < 0.001 for all comparisons). Respondents with AMO had significantly more MHDs (12.9 ± 8.6 vs 4.3 ± 4.3, p  <  0.001); higher migraine symptom severity (17.8 ± 2.7 vs 16.4 ± 3.0, p  <  0.001), higher pain intensity scores (7.4 vs 6.5, p  <  0.001); and higher rates of cutaneous allodynia (53.7% vs 37.5%, p  <  0.001). Adjusted for MHDs, the odds of AMO were increased by each additional year of age (OR 1.02, 95% CI 1.02, 1.03); being married (OR 1.19, 95% CI 1.06, 1.34); smoking (OR 1.54, 95% CI 1.31, 1.81); having psychological symptoms (OR 1.62, 95% CI 1.43, 1.83) or cutaneous allodynia (OR 1.22, 95% CI 1.08, 1.37); and greater migraine symptom severity (OR 1.06, 95% CI 1.04, 1.09) and pain intensity (OR 1.27, 95% CI 1.22, 1.32). Cutaneous allodynia increased the risk of AMO by 61% in males (OR 1.61, 95% CI 1.28, 2.03) but did not increase risk in females (OR 1.08, 95% CI 0.94, 1.25). CONCLUSIONS: AMO was present in 15% of respondents with migraine. AMO was associated with higher symptom severity scores, pain intensity, and rates of cutaneous allodynia. AMO was more likely in triptan, opioid, and barbiturate users but less likely in NSAID users. Cutaneous allodynia was associated with AMO in men but not women. This gender difference merits additional exploration.

Personality Predicts Mortality Risk: An Integrative Data Analysis of 15 International Longitudinal Studies.

This study examined the Big Five personality traits as predictors of mortality risk, and smoking as a mediator of that association. Replication was built into the fabric of our design: we used a Coordinated Analysis with 15 international datasets, representing 44,094 participants. We found that high neuroticism and low conscientiousness, extraversion, and agreeableness were consistent predictors of mortality across studies. Smoking had a small mediating effect for neuroticism. Country and baseline age explained variation in effects: studies with older baseline age showed a pattern of protective effects (HR<1.00) for openness, and U.S. studies showed a pattern of protective effects for extraversion. This study demonstrated coordinated analysis as a powerful approach to enhance replicability and reproducibility, especially for aging-related longitudinal research.

Framingham-Based Cardiovascular Risk Estimates Among People With Episodic Migraine in the US Population: Results from the American Migraine Prevalence and Prevention (AMPP) Study.

BACKGROUND: Cardiovascular (CV) events, conditions, and procedures (ECPs) are common in persons with migraine and are a contraindication to triptan and ergot use. In a prior study, we estimated that there are 2.6 million American adults with episodic migraine (EM) who have had CV ECPs. However, the prior analysis did not assess persons with migraine without CV ECPs who are at high risk for a first cardiovascular disease (CVD) event. OBJECTIVES: To use the Framingham nonlaboratory CVD events risk equation to estimate the number of individuals with EM who are at elevated risk for a first CVD event in the next 10 years using data from the American Migraine Prevalence and Prevention Study, and then to extrapolate the findings to the US population to estimate the scope of people with EM for whom triptan and ergot therapies may be problematic. METHODS: Data from respondents to the 2009 American Migraine Prevalence and Prevention (AMPP) Study questionnaire aged ≥22 who met criteria and headache day frequency for EM were included in this cross-sectional analysis. Ten-year, first CVD event risk was calculated using the nonlaboratory Framingham CV disease risk score (FRS). Variables were collected via respondent self-report and included sex, age, height, and weight to calculate body mass index (BMI), smoking status, and the presence of hypertension and diabetes among other variables. Standard FRS cut scores of ≥21 for women and ≥16 for men were used, which indicate a 30% or greater risk of a first CVD event in the next 10 years. History of CV ECPs was collected via self-report of ever having the ECP and for events and conditions that were diagnosed by a physician. We applied rates of positive ECPs and rates of high FRS to age and sex stratified estimates of the number of people with EM in the US derived from 2015 US Census data to estimate rates of both in the population. RESULTS: The AMPP Study analysis sample included 5227 women and 1496 men with EM. Results showed that 69.5% of women and 73.4% of men had at least one CV risk factor from the FRS, 38.9% of women and 41.6% of men had ≥2 risk factors, and 18.6% of women and 19.1% of men had ≥3 risk factors. The proportion of women with high FRS was 0% for those aged 22-39, 0.8% (95%CI: 0.5-1.2%) among 40- to 59-year-olds and 15.2% (95% CI: 13.3-17.4%) among the ≥60 age group. For men, the corresponding proportions were 0, 7.3% (95% CI: 5.7-9.4%), and 53.0% (95% CI: 4.7-58.1%). Projecting to a national US sample, the number of persons with EM and high FRS was 403,000 for women and 510,000 for men. The proportion of women and men at high risk for future CV events based on a prior CV ECP, a high FRS or both increased with age from 20-39 (women 4.5%, men 4.2%), 40-59 (women 11.8%, men 18.6%), and ≥60 (women 31.2%, men 61.8%). An estimated 141,000 men aged 40-59 and 187,000 aged ≥60 and 34,000 women aged 40-59 and 181,000 women aged ≥60 in the US population with EM have not had a CV ECP but are at increased risk for a future CV event within the next 10 years based upon their FRS alone. CONCLUSION: Among people with EM in the US population, the number of women and men with relative contraindications to triptans and ergots based on a high FRS includes over 900,000 women and men. This includes more than half a million individuals with EM who have not had a prior CV ECP.

Sexual Dysfunction in Women With Migraine and Overweight/Obesity: Relative Frequency and Association With Migraine Severity.

BACKGROUND/OBJECTIVE: Previous studies suggest that migraine might be associated with female sexual dysfunction (FSD), although this association may be complicated by overweight/obesity. To disentangle relationships of migraine and obesity with FSD, we examined: (1) FSD rates in women who had migraine and obesity with a matched sample of women with obesity who were free of migraine and (2) associations between indices of migraine severity and FSD in a larger sample of participants with migraine and overweight/obesity, controlling for important confounders. METHODS: Women with migraine and obesity seeking behavioral weight loss treatment to decrease headaches (n = 37) and nonmigraine controls (n = 37) with obesity seeking weight loss via bariatric surgery were matched on age (±5 years), body mass index (BMI; ±3 kg/m2 ), and reported sexual activity during the past month. Both groups completed the Female Sexual Function Index (FSFI), with a validated FSFI-total cutoff score used to define FSD. In participants with migraine and overweight/obesity (n = 105), separate logistic regression models evaluated associations of migraine attack frequency, intensity, and duration with odds of having FSD, controlling for age, BMI, depression, and anxiety. RESULTS: On average, participants and matched controls had severe obesity (BMI = 42.4 ± 3.8 kg/m2 ; range = 35-49.9) and were 37.3 ± 7.2 years of age (range = 22-50). FSD rate did not differ between migraine participants and controls (56.8% vs. 54.1%, P = .82). In the larger sample of participants with migraine and overweight/obesity (38.2 ± 7.8 years of age; BMI = 34.8 ± 6.4 [range = 25-50 kg/m2 ]; 8.0 ± 4.3 migraine days/month, maximum pain intensity = 5.9 ± 1.4 on 0-10 scale; average attack duration = 18.3 ± 9.7 hours), FSD was not associated with attack frequency (P = .31), pain intensity (P = .92), or attack duration (P = .35) but was associated with more severe anxiety symptoms (Ps < .017). CONCLUSIONS: Rates of sexual dysfunction did not differ in severely obese women with and without migraine. Moreover, indices of migraine severity were not associated with increased risk of FSD in women with overweight/obesity. Replication of present findings in wider populations of women with migraine and of both normal-weight and overweight/obese status are warranted.

Regional versus general anaesthesia for improved cognitive function after procedures other than cardiac surgery or neurosurgery in adult and paediatric patients.

This is the protocol for a review and there is no abstract. The objectives are as follows: The objective of this review is to compare the effects of regional versus general anaesthesia on cognitive function after procedures other than cardiac surgery or neurosurgery in adult and in paediatric patients.

Abdominal obesity is a risk factor for dysexecutive function in chronic kidney disease.

The aim of this study was to assess the influence of the metabolic syndrome and its components on dysexecutive function (DF) in individuals with and without CKD. Among 588 participants aged over 70 from the Einstein Aging Study (EAS), we defined DF as performance of 2SDs below the mean on any one test or 1.5SDs below the mean on any two of the following: Block Design, Digit Symbol Coding and the Trail-making Tests A and B. We defined CKD as an eGFR below 60 mL/min/m(2). MetS was defined according to recent guidelines from the National Cholesterol Education Program. 149 participants had CKD at cross-section, 16.1% of which also showed DF. Of the 439 participants without CKD, 12.3% displayed DF. Abdominal obesity as measured by waist circumference, was an independent risk factor for dysexecutive function in CKD (OR = 14.3, 95%CI = 2.21-91.93, p = 0.005) but not in non-CKD. None of the other MetS components were associated with DF. Results suggested that abdominal obesity, recognized as an integral part of the MetS, is a strong risk factor for DF in individuals with CKD.

Sex hormones in women with and without migraine: Evidence of migraine-specific hormone profiles.

OBJECTIVE: To compare daily sex hormone levels and rates of change between women with history of migraine and controls. METHODS: History of migraine, daily headache diaries, and daily hormone data were collected in ovulatory cycles of pre- and early perimenopausal women in the Study of Women's Health Across the Nation. Peak hormone levels, average daily levels, and within-woman day-to-day rates of decline over the 5 days following each hormone peak were calculated in ovulatory cycles for conjugated urinary estrogens (E1c), pregnanediol-3-glucuronide, luteinizing hormone, and follicle-stimulating hormone. Comparisons were made between migraineurs and controls using 2-sample t tests on the log scale with results reported as geometric means. RESULTS: The sample included 114 women with history of migraine and 223 controls. Analyses of within-woman rates of decline showed that E1c decline over the 2 days following the luteal peak was greater in migraineurs for both absolute rate of decline (33.8 [95% confidence interval 28.0-40.8] pg/mgCr vs 23.1 [95% confidence interval 20.1-26.6] pg/mgCr, p = 0.002) and percent change (40% vs 30%, p < 0.001). There was no significant difference between migraineurs and controls in absolute peak or daily E1c, pregnanediol-3-glucuronide, luteinizing hormone, and follicle-stimulating hormone levels. Secondary analyses demonstrated that, among migraineurs, the rate of E1c decline did not differ according to whether a headache occurred during the cycle studied. CONCLUSIONS: Migraineurs are characterized by faster late luteal phase E1c decline compared to controls. The timing and rate of estrogen withdrawal before menses may be a marker of neuroendocrine vulnerability in women with migraine.

Two-stage screening for early dementia in primary care.

OBJECTIVE: The objective was to compare two screening strategies for dementia in an urban primary care clinic, serving a low-education, minority community composed largely of Latino and African American patients. METHOD: Two hundred and fifty-seven patients underwent two-stage patient-based screening (PBS) and informant-based screening (IBS) followed by a diagnostic evaluation. In the first stage, PBS included brief tests of episodic memory (Memory Impairment Screen), semantic memory (Animal Fluency), and executive function (Reciting Months Backwards). For IBS, the first stage consisted of the short Informant Questionnaire on Cognitive Decline in the Elderly, administered to a family member or friend. Patients who screened positive in the first stage of either strategy underwent testing with the picture version of the Free and Cued Selective Reminding Test with Immediate Recall to identify memory impairment. Sensitivity, specificity, and positive and negative predictive values were computed for various cutoffs of each test and combination of tests. Dementia was diagnosed using Diagnostic and Statistical Manual of Mental Disorders-Fourth Edition (DSM-IV) criteria without access to the screening test results. RESULTS: We identified 66 patients (25.7%) with previously undiagnosed dementia. Sensitivity was the same (77%) for both strategies but specificity was higher for IBS than for PBS (92% versus 83%). IBS's higher specificity makes it the preferred strategy if a knowledgeable informant is available. CONCLUSION: Unrecognized dementia is common in primary care. Case-finding can be improved using either PBS or IBS two-stage screening strategies.

Metabolic Syndrome and Smoking Are Associated with Future Development of Advanced Chronic Kidney Disease in Older Adults.

INTRODUCTION: Metabolic syndrome (MetS) and smoking have been identified as risk factors for chronic kidney disease (CKD) in cross-sectional studies in various age groups, but longitudinal data on progression of CKD in older adults are limited. Our objectives were to examine whether MetS and its components and smoking predict the onset of CKD stage 3b (CKD-3b) in older adults. METHODS: A subset of participants of the Einstein Aging Study who were free of diabetes, dementia, and CKD-3b at enrollment were included in this analysis. CKD-3b was defined as an estimated glomerular filtration rate <45 ml/min/1.73 m(2). Cox proportional hazards models were used in these analyses. RESULTS: In total, 413 ≥70-year-old individuals were eligible for this study. 65.4% were female and 26.6% were black. 22.3% of the participants had MetS at baseline, 4.4% were active smokers, and 6.1% developed CKD-3b over a mean of 4 years of follow-up. MetS and smoking independently predicted incident CKD in our fully adjusted model (hazard ratio 3.65, 95% CI 1.20-10.60, p = 0.022; hazard ratio 29.69, 95% CI 4.47-197.23, p = 0.000). CONCLUSION: MetS and smoking are associated with an increased incidence of CKD-3b. These risk factors are modifiable, easily identified and prevented through better health care practice and early diagnosis.

Appropriate use of neuroimaging in headache.

Headache may be caused by primary disorders, such as migraines, or secondary disorders, such as intracranial neoplasm or hemorrhage. Imaging plays an important role in differentiating between primary and secondary headache disorders. This article reviews the effectiveness of computed tomography (CT) and magnetic resonance imaging (MRI) in the evaluation of a patient with a headache. It also discusses the utility and cost-effectiveness of performing imaging studies in patients with a headache and a normal neurological exam. Emerging imaging techniques such as functional MRI, positron emission tomography (PET) scans, and voxel-based morphometry (VBM) are also discussed.