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Background: Whole blood donors may experience post‐donation symptoms such as fatigue, dizziness, or headache after blood donation, which could influence donor retention. We aimed to examine post‐donation symptoms during 1 week after whole blood donation, investigate donor characteristics associated with symptoms, and evaluate associations between symptoms and donor return. Methods: During 1 week, whole blood donors who donated successfully at one of the collection centers in The Netherlands were invited to participate. Three thousand seventy six donors filled in a diary, assessing post‐donation symptoms during days 1 to 6 after donation. We used linear mixed models analyses to determine the change in post‐donation symptoms after donation for male and female donors separately. Furthermore, we investigated associations between post‐donation symptoms and donors' physical characteristics using multivariable regression and determined associations between symptoms and donor return. Results: Donors reported fatigue as the most common symptom, with approximately 3% of donors experiencing severe problems at the first day after donation. Multiple symptoms improved significantly up to day 3 after whole blood donation. Age, BMI, blood pressure (male donors), and blood volume (female donors) were significantly associated with post‐donation symptoms. Donors with less fatigue after whole blood donation were more likely to return for their next donation within 31 days after receiving an invitation. Conclusion: Post‐symptoms improve up to 3 days after whole blood donation. Our results may help blood collection centers to identify donors more prone to post‐donation symptoms and provide personalized information about the presence and course of post‐donation symptoms, possibly increasing donor return rates. [ABSTRACT FROM AUTHOR]

Background: Psychotropic drugs are frequently prescribed to people with dementia in nursing homes although severe adverse events and side effects are common. Less is known about the prevalence and types of psychotropic drug prescription in primary care for people with dementia. Objective: This study examined the prevalence of psychotropic drug prescriptions in primary care among persons with dementia from the year of diagnosis onwards. Methods: A longitudinal observational study using electronic health record (EHR) data was conducted. People with dementia were selected from EHR data of 451 general practices in the Netherlands. Age and gender‐adjusted psychotropic drug prescription rates were calculated per 1000 person‐years from the year the dementia diagnosis was first recorded in general practice up to 8 years after diagnosis. Results: Data of 15,687 patients were analyzed. The prescription rate of psychotropic drugs (not including antidementia drugs) was 420 per 1000 person‐years (95% CI 409; 431) in the first year after the recorded dementia diagnosis, which increased to 801 per 1000 person‐years (95% CI 649; 989) in the eighth year. The most frequently prescribed drugs were antidepressants, antipsychotics, and antidementia drugs, followed by anxiolytics, hypnotics, and antiepileptics. Conclusions: After a dementia diagnosis is recorded in general practice, the prevalence of psychotropic drug prescriptions is substantial and increases steadily during the disease trajectory of persons with dementia. Although the (in)appropriateness of prescribing was not assessed, these insights may stimulate primary care clinicians to (re)consider their prescription policy of psychotropics for people with dementia more carefully. [ABSTRACT FROM AUTHOR]

Summary Background: Primary prevention of overweight is to be preferred above secondary prevention, which has shown moderate effectiveness. Objective: To develop and internally validate a dynamic prediction model to identify young children in the general population, applicable at every age between birth and age 6, at high risk of future overweight (age 8). Methods: Data were used from the Prevention and Incidence of Asthma and Mite Allergy birth cohort, born in 1996 to 1997, in the Netherlands. Participants for whom data on the outcome overweight at age 8 and at least three body mass index SD scores (BMI SDS) at the age of ≥3 months and ≤6 years were available, were included (N = 2265). The outcome of the prediction model is overweight (yes/no) at age 8 (range 7.4‐10.5 years), defined according to the sex‐ and age‐specific BMI cut‐offs of the International Obesity Task Force. Results: After backward selection in a Generalized Estimating Equations analysis, the prediction model included the baseline predictors maternal BMI, paternal BMI, paternal education, birthweight, sex, ethnicity and indoor smoke exposure; and the longitudinal predictors BMI SDS, and the linear and quadratic terms of the growth curve describing a child's BMI SDS development over time, as well as the longitudinal predictors' interactions with age. The area under the curve of the model after internal validation was 0.845 and Nagelkerke R2 was 0.351. Conclusions: A dynamic prediction model for overweight was developed with a good predictive ability using easily obtainable predictor information. External validation is needed to confirm that the model has potential for use in practice. [ABSTRACT FROM AUTHOR]

Previous studies have discouraged the use of the Cox proportional hazards (PH) model for traditional mediation analysis as it might provide biased results. Accelerated failure time (AFT) models have been proposed as an alternative for Cox PH models. In addition, the use of the potential outcomes framework has been proposed for mediation models with time‐to‐event outcomes. The aim of this paper is to investigate the performance of traditional mediation analysis and potential outcomes mediation analysis based on both the Cox PH and the AFT model. This is done by means of a Monte Carlo simulation study and the illustration of the methods using an empirical data set. Both the product‐of‐coefficients method of the traditional mediation analysis and the potential outcomes framework yield unbiased estimates with respect to their own underlying indirect effect value for simple mediation models with a time‐to‐event outcome and estimated based on Cox PH or AFT. [ABSTRACT FROM AUTHOR]

Background: The retina has received increasing intention as possible non‐invasive diagnostic biomarker for (preclinical) Alzheimer's disease (AD). Several studies suggest changes in retinal layer thickness or vasculature in patients with AD. Here, we aim to discriminate (preclinical) Alzheimer's disease from controls using three retinal imaging modalities in a multimodal prediction model. Method: We used images of 103 controls, 26 clinical AD cases, and 13 preclinical AD cases. Control subjects were cognitively healthy with a negative amyloid‐PET. Preclinical AD participants were defined as cognitively healthy subjects with a positive amyloid‐PET. The 26 clinical AD participants were recruited from the Amsterdam Dementia Cohort and fulfilled the NIA‐AA criteria with evidence of amyloid pathology based on amyloid‐PET or cerebrospinal fluid. Participants underwent three imaging modalities (Optical Coherence Tomography, Optical Coherence Tomography Angiography, fundus photography) and ophthalmological examinations to exclude ophthalmological comorbidities that could influence retinal parameters. First, we performed a multivariable logistic regression analyses per imaging modality, adjusted for age and sex, using all parameters provided by each device. Second, we created an explorative multimodal prediction model including the best performing variable per imaging modality, using the following parameters: retinal nerve fiber layer inner ring, macular vessel density outer ring and the central retinal vein equivalent (CRVE). We used Receiver Operating Characteristic (ROC) curves to test the overall predictive accuracy. Result: The final explorative multimodal prediction model showed an acceptable predictive accuracy in discriminating AD from controls with an area under the receiving operating characteristic curve (AUC) of 0.987, and less so in the discrimination between preclinical AD and controls with an AUC of 0.775. However, with differences in the way the coefficients of identical parameters contributed to make the differentiation between AD and controls and preclinical AD and controls. Conclusion: Despite of a relatively small sample size, our multimodal retinal imaging prediction model seems promising in discriminating between AD versus controls, and preclinical AD versus controls. We found that two parameters, the macular vessel density outer ring and CRVE behaved differently in AD cases compared to preclinical AD cases. More prospective studies with larger sample sizes are needed to confirm these findings. [ABSTRACT FROM AUTHOR]

Objectives: Impaired awareness of functional deficits is often observed in people with Korsakoff syndrome (KS) and may result in refusal of care, although this area has been understudied. This study aimed to investigate levels of impaired awareness and their relationships with neuropsychiatric symptoms (NPS) in people with KS residing in specialized nursing homes.Methods: A cross-sectional, observational study was conducted among 215 residents with KS or other alcohol-related cognitive disorders. Awareness was measured with the Patient Competency Rating Scale (PCRS). NPS and subsyndromes were measured with the Neuropsychiatric Inventory-Questionnaire (NPI-Q). Adjusted multilevel regression analyses were performed to examine the relationships between the level of awareness and NPS.Results: The mean level of impaired awareness was 39.3 (SD = 19.9) indicating moderate impairment. Twenty-nine percent of the residents had no or mildly impaired awareness; 37% were moderately impaired, and 34% were severely impaired. Residents with moderately impaired awareness showed more severe apathy than residents with no or mildly impaired awareness (difference 1.23; 95% CI 1.02-1.48; p = 0.03). No associations were found between the level of awareness and other NPI outcomes. Cognitive functioning seems to have the strongest impact on the association between level of awareness and NPS in KS residents.Conclusions: Impaired awareness of functional deficits is highly common in KS residents; however, apart from apathy, is not significantly related with NPS. Additional research should further examine, which interventions are effective in dealing with impaired awareness in these people, particularly when apathy is present. [ABSTRACT FROM AUTHOR]

Grey matter (GM) atrophy is a prominent aspect of multiple sclerosis pathology and an important outcome in studies. GM atrophy measurement requires accurate GM segmentation. Several methods are used in vivo for measuring GM volumes in MS, but assessing their validity in vivo remains challenging. In this postmortem study, we evaluated the correlation between postmortem MRI cortical volume or thickness and the cortical thickness measured on histological sections. Sixteen MS brains were scanned in situ using 3DT1-weighted MRI and these images were used to measure regional cortical volume using FSL-SIENAX, FreeSurfer, and SPM, and regional cortical thickness using FreeSurfer. Subsequently, cortical thickness was measured histologically in 5 systematically sampled cortical areas. Linear regression analyses were used to evaluate the relation between MRI regional cortical volume or thickness and histological cortical thickness to determine which postprocessing technique was most valid. After correction for multiple comparisons, we observed a significant correlation with the histological cortical thickness for FSL-SIENAX cortical volume with manual editing (std. β = 0.345, adjusted R2 = 0.105, P = 0.005), and FreeSurfer cortical volume with manual editing (std. β = 0.379, adjusted R2 = 0.129, P = 0.003). In addition, there was a significant correlation between FreeSurfer cortical thickness with manual editing and histological cortical thickness (std. β = 0.381, adjusted R2 = 0.130, P = 0.003). The results support the use of FSL-SIENAX and FreeSurfer in cases of severe MS pathology. Interestingly none of the methods were significant in automated mode, which supports the use of manual editing to improve the automated segmentation. Hum Brain Mapp 37:2223-2233, 2016. © 2016 Wiley Periodicals, Inc. [ABSTRACT FROM AUTHOR]

This study analyses distinct trajectories of vital exhaustion (VE; a measure of mental health incorporating signs of stress and depression) over a period of 15 years in healthy adults and investigates further the consequences for markers of low-grade inflammation as indicators of cardiovascular disease risk. Data of 341 participants of the Amsterdam Growth and Health Longitudinal Study were utilized. VE was measured by the Maastricht Questionnaire. Markers of low-grade inflammation included interleukin-6, interleukin-8 and tumour necrosis factor-α. Distinct trajectories of VE were obtained by latent class growth models, and consequences for markers of low-grade inflammation of the trajectories were analysed by linear regressions. We found comparable trajectories of VE for men and women; a 'never vitally exhausted' subgroup (16.9% and 25.1%, respectively), a 'stable preclinical VE' subgroup (51.7% and 68.1%) and a 'chronic VE state' subgroup (31.5% and 6.7%). The subgroups had similar levels of the markers investigated. This study is the first to analyse VE longitudinally in healthy adults and indicates that although distinct trajectories of VE were identified, differential consequences for cardiovascular disease risk were unapparent. Copyright © 2013 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Background: To compare childhood arrestees with matched comparison groups on levels of autistic symptoms and to assess the unique predictive value of autistic symptoms for future delinquent behavior in childhood arrestees. Methods: Childhood first-time arrestees ( n = 308, baseline age 10.7 ± 1.5 years) were followed up for 2 years. Autistic symptoms, externalizing disorders and delinquent behavior were assessed yearly. Childhood arrestees were compared on autistic symptoms with matched (age, gender) general population and clinical autism spectrum disorder samples. The predictive value of autistic symptoms for delinquent behavior was analyzed using generalized estimating equations. Results: At each assessment, levels of autistic symptoms in childhood arrestees were in between levels found in the general population and autism spectrum disorder samples. Autistic symptoms were positively associated with delinquent behavior in childhood arrestees, even after adjustment for externalizing disorders: IRR (incidence rate ratio) 1.23; 95% CI 1.11-1.36 and IRR 1.29; 95% CI 1.15-1.45 for core autistic symptoms and total symptom score, respectively. Conclusions: Autistic symptoms are more prevalent in childhood arrestees compared to the general population and are uniquely associated with future delinquent behavior. Attention should, therefore, be given to the possible presence of autism related symptomatology in these children. Implications for diagnostic assessment and intervention need further investigation. [ABSTRACT FROM AUTHOR]

Olfactory deficits and executive dysfunction are early and common symptoms in Parkinson's disease (PD). Previous studies have shown that hyposmia can be a first sign of PD. The aim of the present study was to determine which of three olfactory tests and two selected tests of executive function would be the best predictor of future PD over a 5 year period. In a cohort of 361 nonparkinsonian, nondemented first-degree relatives of PD patients, in whom alternative causes of olfactory dysfunction were excluded, we measured baseline performance on three olfactory and two executive function tasks. Five years from baseline, clinical neurological evaluation and/or a screening questionnaire, sensitive to the presence of Parkinsonism, were used to detect individuals developing clinical PD. Our results show that in first degree relatives of PD patients worse performance on each of three olfactory processing tasks was associated with an increased risk of developing PD within 5 years, whereas performance on selected tests of executive dysfunction was not associated with an increased risk of developing PD. Interestingly, impaired odor discrimination was the best predictor for future PD. © 2009 Movement Disorder Society [ABSTRACT FROM AUTHOR]

Abstract: Objective: To investigate the effect of a medical food on cognitive function in people with mild Alzheimer''s disease (AD). Methods: A total of 225 drug-naïve AD patients participated in this randomized, double-blind controlled trial. Patients were randomized to active product, Souvenaid, or a control drink, taken once-daily for 12 weeks. Primary outcome measures were the delayed verbal recall task of the Wechsler Memory Scale–revised, and the 13-item modified Alzheimer''s Disease Assessment Scale–cognitive subscale at week 12. Results: At 12 weeks, significant improvement in the delayed verbal recall task was noted in the active group compared with control (P = .021). Modified Alzheimer''s Disease Assessment Scale–cognitive subscale and other outcome scores (e.g., Clinician Interview Based Impression of Change plus Caregiver Input, 12-item Neuropsychiatric Inventory, Alzheimer''s disease Co-operative Study–Activities of Daily Living, Quality of Life in Alzheimer''s Disease) were unchanged. The control group neither deteriorated nor improved. Compliance was excellent (95%) and the product was well tolerated. Conclusions: Supplementation with a medical food including phosphatide precursors and cofactors for 12 weeks improved memory (delayed verbal recall) in mild AD patients. This proof-of-concept study justifies further clinical trials. [Copyright &y& Elsevier]