The limitations of some European healthcare databases for monitoring the effectiveness of pregnancy prevention programmes as risk minimisation measures.

PURPOSE: Pregnancy prevention programmes (PPPs) exist for some medicines known to be highly teratogenic. It is increasingly recognised that the impact of these risk minimisation measures requires periodic evaluation. This study aimed to assess the extent to which some of the data needed to monitor the effectiveness of PPPs may be present in European healthcare databases. METHODS: An inventory was completed for databases contributing to EUROmediCAT capturing pregnancy and prescription data in Denmark, Norway, the Netherlands, Italy (Tuscany/Emilia Romagna), Wales and the rest of the UK, to determine the extent of data collected that could be used to evaluate the impact of PPPs. RESULTS: Data availability varied between databases. All databases could be used to identify the frequency and duration of prescriptions to women of childbearing age from primary care, but there were specific issues with availability of data from secondary care and private care. To estimate the frequency of exposed pregnancies, all databases could be linked to pregnancy data, but the accuracy of timing of the start of pregnancy was variable, and data on pregnancies ending in induced abortions were often not available. Data availability on contraception to estimate compliance with contraception requirements was variable and no data were available on pregnancy tests. CONCLUSION: Current electronic healthcare databases do not contain all the data necessary to fully monitor the effectiveness of PPP implementation, and thus, special data collection measures need to be instituted.

Sensitivity of the UK Clinical Practice Research Datalink to Detect Neurodevelopmental Effects of Medicine Exposure in Utero: Comparative Analysis of an Antiepileptic Drug-Exposed Cohort.

INTRODUCTION: Electronic healthcare data have several advantages over prospective observational studies, but the sensitivity of data on neurodevelopmental outcomes and its comparability with data generated through other methodologies is unknown. OBJECTIVES: The objectives of this study were to determine whether data from the UK Clinical Practice Research Datalink (CPRD) produces similar risk estimates to a prospective cohort study in relation to the risk of neurodevelopmental disorders (NDDs) following prenatal antiepileptic drug (AED) exposure. METHODS: A cohort of mother-child pairs of women with epilepsy (WWE) was identified in the CPRD and matched to a cohort without epilepsy. The study period ran from 1 January 2000 to 31 March 2007 and children were required to be in the CPRD at age 6 years. AED exposure during pregnancy was determined from prescription data and children with an NDD diagnosis by 6 years were identified from Read clinical codes. The prevalence and risk of NDDs was calculated for mother-child pairs in WWE stratified by AED regimen and for those without epilepsy. Comparisons were made with the results of the prospective Liverpool and Manchester Neurodevelopment Group study which completed assessment on 201 WWE and 214 without epilepsy at age 6 years. RESULTS: In the CPRD, 1018 mother-child pairs to WWE and 6048 to women without epilepsy were identified. The CPRD identified a lower prevalence of NDDs than the prospective study. In both studies, NDDs were more frequently reported in children of WWE than women without epilepsy, although the CPRD risk estimate was lower (2.16 vs. 0.96%, p < 0.001 and 7.46 vs. 1.87%, p = 0.0128). NDD prevalence differed across AED regimens but the CPRD data did not replicate the significantly higher risk of NDDs following in utero monotherapy valproate exposure (adjusted odds ratio [ORadj] 2.02, 95% confidence interval [CI] 0.52-7.86) observed in the prospective study (ORadj 6.05, 95% CI 1.65-24.53). CONCLUSION: It was possible to identify NDDs in the CPRD; however, the CPRD appears to under-record these outcomes. Larger studies are required to investigate further.

Selective serotonin reuptake inhibitor prescribing before, during and after pregnancy: a population-based study in six European regions.

OBJECTIVE: To explore the prescribing patterns of selective serotonin reuptake inhibitors (SSRIs) before, during and after pregnancy in six European population-based databases. DESIGN: Descriptive drug utilisation study. SETTING: Six electronic healthcare databases in Denmark, the Netherlands, Italy (Emilia Romagna/Tuscany), Wales and the rest of the UK. POPULATION: All women with a pregnancy ending in a live or stillbirth starting and ending between 2004 and 2010. METHODS: A common protocol was implemented across databases to identify SSRI prescriptions issued (UK) or dispensed (non-UK) in the year before, during or in the year following pregnancy. MAIN OUTCOME MEASURES: The percentage of deliveries in which the woman received an SSRI prescription in the year before, during or in the year following pregnancy. We also compared the choice of SSRIs and changes in prescribing over the study period. RESULTS: In total, 721 632 women and 862,943 deliveries were identified. In the year preceding pregnancy, the prevalence of SSRI prescribing was highest in Wales [9.6%; 95% confidence interval (CI95 ), 9.4-9.8%] and lowest in Emilia Romagna (3.3%; CI95 , 3.2-3.4%). During pregnancy, SSRI prescribing had dropped to between 1.2% (CI95 , 1.1-1.3%) in Emilia Romagna and 4.5% (CI95 , 4.3-4.6%) in Wales. The higher UK pre-pregnancy prescribing rates resulted in higher first trimester exposures. After pregnancy, SSRI prescribing increased most rapidly in the UK. Paroxetine was more commonly prescribed in the Netherlands and Italian regions than in Denmark and the UK. CONCLUSIONS: The higher SSRI prescribing rates in the UK, compared with other European regions, raise questions about differences in the prevalence and severity of depression and its management in pregnancy across Europe.

White-matter tract integrity in late-life depression: associations with severity and cognition.

BACKGROUND: Although significant changes in both gray and white matter have been noted in late-life depression (LLD), the pathophysiology of implicated white-matter tracts has not been fully described. In this study we examined the integrity of specific white-matter tracts in LLD versus healthy controls (HC). METHOD: Participants aged ⩾60 years were recruited from the community. The sample included 23 clinically diagnosed individuals with LLD and 23 HC. White-matter integrity metrics [fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD) and radial diffusivity (RD)] were calculated in the bilateral cingulum and uncinate fasciculus. Depression severity was measured using the Center for Epidemiological Studies Depression Scale (CESD). Composite scores for learning and memory and executive function were created using standardized neuropsychological assessments. RESULTS: White-matter integrity was lower in LLD versus HC in the bilateral cingulum and right uncinate fasciculus (p⩽0.05). In the whole sample, depression severity correlated with integrity in the bilateral cingulum and right uncinate fasciculus (p ⩽0.05). In patients, depression severity correlated with the integrity of the left uncinate fasciculus (p = 0.03); this tract also correlated with executive function (p = 0.02). Among HC, tract integrity did not correlate with depression scores; however, learning and memory correlated with integrity of the bilateral uncinate fasciculus and bilateral cingulum; executive function correlated with the right uncinate and left cingulum (p ⩽0.05). CONCLUSIONS: White-matter tract integrity was lower in LLD than in HC and was associated with depression severity across all participants. Tract integrity was associated with cognition in both groups but more robustly among HC.

Diffusion tensor imaging detects age related white matter change over a 2 year follow-up which is associated with working memory decline.

BACKGROUND: Diffusion tensor imaging (DTI) is a sensitive method for detecting white matter damage, and in cross sectional studies DTI measures correlate with age related cognitive decline. However, there are few data on whether DTI can detect age related changes over short time periods and whether such change correlates with cognitive function. METHODS: In a community sample of 84 middle-aged and elderly adults, MRI and cognitive testing were performed at baseline and after 2 years. Changes in DTI white matter histograms, white matter hyperintensity (WMH) volume and brain volume were determined. Change over time in performance on tests of executive function, working memory and information processing speed were also assessed. RESULTS: Significant change in all MRI measures was detected. For cognition, change was detected for working memory and this correlated with change in DTI only. In a stepwise regression, with change in working memory as the dependent variable, a DTI histogram measure explained 10.8% of the variance in working memory. Change in WMH or brain volume did not contribute to the model. CONCLUSIONS: DTI is sensitive to age related change in white matter ultrastructure and appears useful for monitoring age related white matter change even over short time periods.

The relationship between episodic long-term memory and white matter integrity in normal aging.

It has been proposed that episodic long-term memory (LTM) declines in normal aging and may be affected by disruption of white matter networks. This was explored in 104 healthy adults aged 50-90 years in the GENIE study; white matter integrity was assessed using diffusion tensor imaging (DTI) in large regions of interest, with additional measures of white matter hyperintensities (WMH), normalized brain and hippocampal volumes. LTM was compared with executive function, working memory and information processing speed. LTM correlated significantly with DTI, WMH and whole brain volume, but not with hippocampal volume. Using linear regression, only DTI measures explained the variance (approximately 19%) in LTM; mediational analyses explored the extent to which other cognitive functions mediate the association between DTI changes and memory. The results suggest that reduced LTM performance in normal aging is related to reduced integrity of a distributed network dependent on white matter pathways supporting episodic memory.

Cognitive impairment and white matter damage in hypertension: a pilot study.

OBJECTIVES: Hypertension has been associated with impaired cognition. Diffusion tensor imaging (DTI) and magnetic resonance spectroscopy were applied to assess white matter abnormalities in treated vs untreated hypertension and if these correlated with neuropsychological performance. METHODS: Subjects were 40 patients with medically treated hypertension (mean age 69.3 years), 10 patients with untreated hypertension (mean age 57.6 years) and 30 normotensive controls (mean age 68.2 years). Hypertension was defined as a previous diagnosis and taking hypertensive medication, or a resting blood pressure of >140/90 mmHg on the day of assessment. RESULTS: Patients with treated hypertension performed worse on immediate (P = 0.037) as well as delayed memory tasks (P = 0.024) compared with normotensive controls. Cognitive performance was worse in untreated compared with treated hypertension on executive functions (P = 0.041) and psychomotor speed (P = 0.003). There was no significant correlation between cognition and any of the imaging parameters in treated hypertension. However, in untreated hypertension the results revealed a positive correlation between an executive functioning and attention composite score and DTI mean diffusivity values (P = 0.016) and between psychomotor speed and spectroscopy NAA/tCr levels (P = 0.015). CONCLUSIONS: These results suggest there is cognitive impairment in hypertension. Treated hypertension was associated with deficits in memory while untreated hypertension revealed a more 'subcortical' pattern of cognitive impairment.

A structural equation modeling investigation of age-related variance in executive function and DTI measured white matter damage.

Cognitive changes in normal aging have been explained by the frontal-executive hypothesis, but the assumptions made by this hypothesis concerning the neurobiological causes are still a matter of debate. Executive functions (EF) may activate neural networks that include disparate grey matter regions, and rely on the integrity of white matter connections. In 118 adults (50-90 years old) from the GENIE study, white matter integrity was measured using diffusion tensor imaging, and information processing speed, fluid intelligence and EF were assessed. A theory-driven structural equation model was developed to test associations between variables. The model was revised, removing non-significant paths. The adjusted model explained well the covariance in our data; and suggested that the reduction in white matter integrity associated with age directly affected only working memory. Fluid intelligence was mediated by all measured cognitive variables. The results suggest that white matter integrity may be particularly important for abilities activating complex neural networks, as occurs in working memory. Integration of the information processing speed and frontal-executive hypotheses may provide important information regarding common, unique, and mediating factors in cognitive aging.

The relationship between white matter brain metabolites and cognition in normal aging: the GENIE study.

Magnetic resonance spectroscopy (MRS) has demonstrated age-related changes in brain metabolites that may underlie micro-structural brain changes, but few studies have examined their relationship with cognitive decline. We performed a cross-sectional study of brain metabolism and cognitive function in 82 healthy adults (aged 50-90) participating in the GENIE (St GEorge's Neuropsychology and Imaging in the Elderly) study. Absolute metabolite concentrations were measured by proton chemical shift imaging within voxels placed in the centrum semiovale white matter. Cognitive abilities assessed were executive function, working memory, information processing speed, long-term memory and fluid intelligence. Correlations showed that all cognitive domains declined with age. Total creatine (tCr) concentration increased with age (r=0.495, p<0.001). Regression analyses were performed for each cognitive variable, including estimated intelligence and the metabolites, with age then added as a final step. A significant relationship was observed between tCr and executive function, long-term memory, and fluid intelligence, although these relationships did not remain significant after age was added as a final step in the regression. The regression analysis also demonstrated a significant relationship between N-acetylaspartate (NAA) and executive function. As there was no age-related decline in NAA, this argues against axonal loss with age; however the relationship between NAA and executive function independent of age and estimated intelligence is consistent with white matter axonal integrity having an important role in executive function in normal individuals.

The cognitive profiles of CADASIL and sporadic small vessel disease.

BACKGROUND: Interpretation of treatment trials in vascular dementia is confounded by the presence of coexistent Alzheimer disease (AD) pathology. The younger onset genetic disease cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) offers a model of pure vascular dementia, in which such confounding is unlikely. To validate CADASIL's use as a model it is important to show it results in a similar cognitive impairment. METHODS: The same neuropsychological assessment was administered to patients with CADASIL (n = 34, 14 of whom had had stroke), sporadic small vessel disease (SVD) presenting with lacunar stroke and having confluent leukoaraiosis (n = 54), and healthy controls (n = 25). RESULTS: A similar pattern of neuropsychological impairment was seen in the two diseases, with prominent early executive dysfunction. Patients with CADASIL and SVD performed worse than controls on Trails switching test (CADASIL p = 0.006; SVD p < 0.001), and on verbal fluency test (CADASIL p = 0.015; SVD p = 0.004). The SVD group also performed worse on immediate (p = 0.050) and delayed (p = 0.049) memory. When only patients with CADASIL with stroke were included in analysis with SVD subjects, all of whom had had stroke, a very similar cognitive profile was seen. The only difference was on verbal fluency, where CADASIL subjects performed worse (p = 0.044). CONCLUSION: Patients with cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) and small vessel disease show a similar pattern of cognitive deficits. This suggests that CADASIL provides a model of pure vascular dementia relevant for sporadic small vessel disease vascular dementia.

White matter damage on diffusion tensor imaging correlates with age-related cognitive decline.

BACKGROUND: Damage to white matter tracts, resulting in "cerebral disconnection," may underlie age-related cognitive decline. METHODS: Using diffusion tensor MRI (DTI) to investigate white matter damage, and magnetic resonance spectroscopy (MRS) to look at its underlying pathologic basis, the authors investigated the relationship between white matter structure and cognition in 106 healthy middle-aged and elderly adults. Fractional anisotropy (FA) and mean diffusivity (MD) values, whole brain white matter histograms, and regions of interest placed in the white matter of the centrum semiovale were analyzed. Correlations with executive function, working memory, and information-processing speed were performed. RESULTS: There was a progressive reduction in FA and increase in diffusivity with age in both region of interest (r = 0.551, p < 0.001), and whole brain histograms (r = 0.625, p < 0.001). DTI values correlated with performance in all three cognitive domains. After controlling for age, DTI parameters correlated with working memory but not with the other two cognitive domains. MRS studies found a correlation of N-acetyl aspartate, a neuronal marker, with DTI parameters (r = 0.253, p < 0.05). CONCLUSION: The results are consistent with white matter damage due to axonal loss, causing age- related cognitive decline. Working memory may be particularly dependent on complex networks dependent on white matter connections.

A combined approach to the assessment of neurological dysphagia.

The dysphagia encountered by patients with neurological disorders can be both distressing and life threatening because of the associated problems of aspiration. Decisions regarding management are often difficult because the exact nature of the underlying disorder varies from patient to patient and is frequently complex. A new approach to the assessment and evaluation of acquired neurological dysphagia is presented. Management of the first 50 patients assessed by this method is described. The advantages of a joint dysphagia clinic comprising neurology, speech therapy, ENT and radiology departments are discussed.