The Many Faces of Autism: Implications for assessment and association with anxiety

Autism Spectrum Disorder (ASD) is a complex and heterogeneous disorder, making it difficult to accurately identify ASD, especially in certain groups such as girls. The __first aim__ of this thesis was to contribute to the identification of ASD by examining the role of screening instruments, informants, and changes in diagnostic criteria, and differences betw

Incidence and Predictors of Maternal Cardiovascular Mortality and Severe Morbidity in the Netherlands: A Prospective Cohort Study

Objective: To assess incidence and possible risk factors of severe maternal morbidity and mortality from cardiovascular disease in the Netherlands. Design: A prospective population based cohort study. Setting: All 98 maternity units in the Netherlands. Population: All women delivering in the Netherlands between August 2004 and August 2006 (n = 371,021) Methods: Cases of severe maternal morbidity and mortality from cardiovascular disease were prospectively collected during a two-year period in the Netherlands. Women with cardiovascular complications during pregnancy or postpartum who were admitted to the ward, intensive care or coronary care unit were included. Cardiovascular morbidity was defined as cardiomyopathy, valvular disease, ischaemic heart disease, arrhythmias or aortic dissection. All women delivering in the same period served as a reference cohort. Main outcome measures: Incidence, case fatality rates and possible risk factors. Results: Incidence of severe maternal morbidity due to cardiovascular disease was 2.3 per 10,000 deliveries (84/358,874). Maternal mortality rate from cardiovascular disease was 3.0 per 100,000 deliveries (11/358,874). Case fatality rate in women with severe maternal morbidity due to cardiovascular disease was 13% (11/84). Case fatality rate was highes

Association between socioeconomic status with pregnancy and neonatal outcomes:An international multicenter cohort

Introduction: Previous evidence examining the association between socioeconomic status and pregnancy complications are conflicted and often limited to using area-based measures of socioeconomic status. In this study, we aimed to examine the association between individual-level socioeconomic factors and a wide range of adverse pregnancy and neonatal outcomes using data from the IMPROvED birth cohort conducted in Sweden, the Netherlands and Republic of Ireland. Material and methods: The study cohort consisted of women who participated in the IMPROvED birth cohort between 2013 and 2017. Data on socioeconomic factors were self-reported and obtained at 15 weeks' gestation, and included level of education, employment status, relationship status, and income. Data on pregnancy and neonatal outcomes included gestational hypertension, pre-eclampsia, gestational diabetes mellitus, emergency cesarean section, preterm birth, post term delivery, small for gestational age and Apgar score at 1 min. These data were obtained within 72 h following delivery and confirmed using medical records. Multivariable logistic regression examined the association between each socioeconomic variable and each outcome separately adjusting for maternal age, maternal body mass index, maternal smoking, maternal alcohol consumption and cohort center. We also examined the effect of exposure to any ≥2 risk factors compared to none. Results: A total of 2879 participants were included. Adjusted results suggested that those with less than third level of education had an increased odds of gestational hypertension (OR: 1.74, 95% CI: 1.23–2.46), while those on a middle level of income had a reduced odds of emergency cesarean section (OR: 0.59, 95% CI: 0.42–0.84). No significant associations were observed between socioeconomic variables and neonatal outcomes. Exposure to any ≥2 socioeconomic risk factors was associated with an increased risk of preterm birth (OR: 1.75, 95% CI: 1.06–2.89). Conclusions: We did not find strong evidence of associations between individual-level socioeconomic factors and pregnancy and neonatal outcomes in high-income settings overall, with only few significant associations observed among pregnancy outcomes.</p

Effects of Peri-Conception and Pregnancy Glycemic Variability on Pregnancy and Perinatal Complications in Type 1 Diabetes:A Pilot Study

Background Not much is known about the effects of glycemic variability (GV) during the pre- and periconception period on pregnancy/perinatal complications. GV could potentially contribute to identification of high-risk pregnancies in women with type 1 diabetes. Methods An explorative retrospective cohort study was conducted between January 2014 and May 2019. Glucose data were retrieved from electronic patient charts. Pre-/periconceptional GV and GV during all three trimesters was expressed as mean glucose, standard deviation (SD), Coefficient of Variation (CV), High Blood Glucose Index (HBGI), Low Blood Glucose Index (LBGI) and Average Daily Risk Range (ADRR). Maternal and neonatal complications were summarized using a composite total complication score. Binary logistic regression analyses were conducted to assess associations between the GV measures and a total complication score>3, a maternal complication score>1 and a neonatal complication score>1. Results Of 63 eligible women, 29 women (38 pregnancies) were included. Women in the group with a total complication score>3 had a significantly higher ADRR at conception (OR 1.1, CI 1.0–1.2, p=0.048). No statistically significant correlations between complication score and any other GV metric besides the ADRR were found. Although not significant, in the group with a complication score>3, odds ratios>1 were found for SD in trimester 1 (OR 1.6, CI 0.6–4.5, p=0.357) and trimester 2 (OR 1.8, CI 0.5–6.2, p=0.376). Conclusions Presence of a positive association between GV and pregnancy and perinatal complications depends on which pregnancy period is assessed and the GV metrics that are used

Utility of the 3Di Short Version for the Diagnostic Assessment of Autism Spectrum Disorder and Compatibility with DSM-5

The Developmental Diagnostic Dimensional Interview-short version (3Di-sv) provides a brief standardized parental interview for diagnosing autism spectrum disorder (ASD). This study explored its validity, and compatibility with DSM-5 ASD. 3Di-sv classifications showed good sensitivity but low specificity when compared to ADOS-2-confirmed clinical diagnosis. Confirmatory factor analyses found a better fit against a DSM-5 model than a DSM-IV-TR model of ASD. Exploration of the content validity of the 3Di-sv for the DSM-5 revealed some construct underrepresentation, therefore we obtained data from a panel of 3Di-trained clinicians from ASD-specialized centers to recommend items to fill these gaps. Taken together, the 3Di-sv provides a solid basis to create a similar instrument suitable for DSM-5. Concrete recommendations are provided to improve DSM-5 compatibility

Caring for Children with an Autism Spectrum Disorder:Factors Associating with Health- and Care-Related Quality of Life of the Caregivers

This study investigated the association of child, caregiver, and caregiving measurements with the quality of life (QoL) in 81 caregivers (mostly parents) of clinically referred children with autism spectrum disorder (ASD). We used the EuroQol five-dimensional (EQ-5D) questionnaire and the care-related QoL questionnaire (CarerQol) to respectively assess health-related QoL and care-related QoL. Health-related QoL was associated with the caregiver's internalizing problems and adaptive coping, explaining 38% of the variance. Parenting stress and adaptive coping were associated with the care-related QoL and explained 60% of the variance. Child variables were not associated with the caregiver's health- and care-related QoL if caregiver and caregiving variables were taken into account. Findings indicate the importance of the caregiver's mental health, coping, and parenting stress in caring for children with ASD

Stop or go? Preventive cognitive therapy with guided tapering of antidepressants during pregnancy:study protocol of a pragmatic multicentre non-inferiority randomized controlled trial

Background: Approximately 6.2 % of women in the USA and 3.7 % of women in the UK, use Selective Serotonin Reuptake Inhibitors (SSRIs) during their pregnancies because of depression and/or anxiety. In the Netherlands, this prevalence is around 2 %. Nonetheless, SSRI use during pregnancy is still controversial. On the one hand SSRIs may be toxic to the intrauterine developing child, while on the other hand relapse or recurrence of depression during pregnancy poses risks for both mother and child. Among patients and professionals there is an urgent need for evidence from randomized studies to make rational decisions regarding continuation or tapering of SSRIs during pregnancy. At present, no such studies exist.Methods/Design: 'Stop or Go' is a pragmatic multicentre randomized non-inferiority trial among 200 pregnant women with a gestational age of less than 16 weeks who use SSRIs without clinically relevant depressive symptoms. Women allocated to the intervention group will receive preventive cognitive therapy with gradual, guided discontinuation of SSRIs under medical management (STOP). Women in the control group will continue the use of SSRIs (GO). Primary outcome will be the (cumulative) incidence of relapse or recurrence of maternal depressive disorder (as assessed by the Structured Clinical Interview for DSM disorders) during pregnancy and up to three months postpartum. Secondary outcomes will be child outcome (neonatal outcomes and psychomotor and behavioural outcomes up to 24 months postpartum), and health-care costs. Total study duration for participants will be therefore be 30 months. We specified a non-inferiority margin of 15 % difference in relapse risk.Discussion: This study is the first to investigate the effect of guided tapering of SSRIs with preventive cognitive therapy from early pregnancy onwards as compared to continuation of SSRIs during pregnancy. We will study the effects on both mother and child with a pragmatic approach. Additionally, the study examines cost effectiveness. If non-inferiority of preventive cognitive therapy with guided tapering of SSRIs compared to intended continuation of SSRIs is demonstrated for the primary outcome, this may be the preferential strategy during pregnancy.</p

COVID-19 during pregnancy and lactation:what do we already know?

SARS-CoV-2 has rapidly spread worldwide since December 2019. Obviously, pregnant and lactating women will also be infected with SARS-CoV-2. Pregnant women, however, are a risk population for developing severe respiratory infections. Currently, the knowledge on potential risks and consequences of COVID-19 during pregnancy and lactation is limited. Available data show that pregnant women suffer from similar symptoms compared to non-pregnant patients. There is no evidence as yet that COVID-19 has a more serious course during pregnancy. Although pregnant women might suffer from a wide variety of symptoms, most of them are asymptomatic. Maternal SARS-CoV-2 infection might lead to adverse neonatal outcomes, such as prematurity or respiratory symptoms. There is currently no conclusive evidence of absence of intrauterine transmission of the virus; the virus has not been detected in breastmilk in most studies, although passage into breastmilk cannot be completely excluded.</p