Following admission to the pediatric intensive care unit, both children and their parents have high rates of trauma exposure, both personally and secondary exposure via other children and their families, and subsequently are reporting significant rates of posttraumatic stress disorder. To effectively treat our patients, we must recognize the signs of posttraumatic stress disorder and strive to mitigate the negative effects.

Objectives: Opioids and benzodiazepines are commonly used to provide analgesia and sedation for critically ill children with cardiac disease. These medications have been associated with adverse effects including delirium, dependence, withdrawal, bowel dysfunction, and potential neurodevelopmental abnormalities. Our objective was to implement a risk-stratified opioid and benzodiazepine weaning protocol to reduce the exposure to opioids and benzodiazepines in pediatric patients with cardiac disease. Design: A prospective pre- and postinterventional study. Patients: Critically ill patients less than or equal to 21 years old with acquired or congenital cardiac disease exposed to greater than or equal to 7 days of scheduled opioids ± scheduled benzodiazepines between January 2013 and February 2015. Setting: A 24-bed pediatric cardiac ICU and 21-bed cardiovascular acute ward of an urban stand-alone children’s hospital. Intervention: We implemented an evidence-based opioid and benzodiazepine weaning protocol using educational and quality improvement methodology. Measurements and Main Results: One-hundred nineteen critically ill children met the inclusion criteria (64 post intervention, 55 pre intervention). Demographics and risk factors did not differ between groups. Patients in the postintervention period had shorter duration of opioids (19.0 vs 30.0 d; p < 0.01) and duration of benzodiazepines (5.3 vs 22.7 d; p < 0.01). Despite the shorter duration of wean, there was a decrease in withdrawal occurrence (% Withdrawal Assessment Tool score ≥ 4, 4.9% vs 14.1%; p < 0.01). There was an 8-day reduction in hospital length of stay (34 vs 42 d; p < 0.01). There was a decrease in clonidine use (14% vs 32%; p = 0.02) and no change in dexmedetomidine exposure (59% vs 75%; p = 0.08) in the postintervention period. Conclusions: We implemented a risk-stratified opioid and benzodiazepine weaning protocol for critically ill cardiac children that resulted in reduction in opioid and benzodiazepine duration and dose exposure, a decrease in symptoms of withdrawal, and a reduction in hospital length of stay.

Objective To evaluate human papillomavirus (HPV) testing in combination with cytology in the follow up of treated women.Design A prospective study.Setting Three UK centres: Manchester, Aberdeen and London.Population or sample Women treated for cervical intraepithelial neoplasia (CIN).Methods Women were recruited at 6 months of follow up, and cytology and HPV testing was carried out at 6 and 12 months. If either or both results were positive, colposcopy and if appropriate, a biopsy and retreatment was performed. At 24 months, cytology alone was performed.Main outcome measures Cytology and histology at 6, 12 and 24 months.Results Nine hundred and seventeen women were recruited at 6 months of follow up, with 778 (85%) and 707 (77.1%) being recruited at 12 and 24 months, respectively. At recruitment, 700 women had had high-grade CIN (grades 2 or 3) and 217 had CIN1. At 6 months, 14.6% were HPV positive and 10.7% had non-negative cytology. Of those with negative cytology, 9% were HPV positive. Of the 744 women who were cytology negative/HPV negative at baseline, 3 women with CIN2, 1 with CIN3, 1 with cancer and 1 with vaginal intraepithelial neoplasia (VAIN)1 were identified at 24 months. Nine of 10 cases of CIN3/cervical glandular intraepithelial neoplasia (CGIN) occurred in HPV-positive women. At 23 months, cancer was identified in a woman treated for CGIN with clear resection margins, who had been cytology negative/HPV negative at both 6 and 12 months.Conclusions Women who are cytology negative and HPV negative at 6 months after treatment for CIN can safely be returned to 3-year recall.

Size at birth, postnatal weight gain, and adult risk for type 2 diabetes may reflect environmental exposures during developmental plasticity and may be mediated by epigenetics. Both low birth weight (BW), as a marker of fetal growth restraint, and high birth weight (BW), especially after gestational diabetes mellitus (GDM), have been linked to increased risk of adult type 2 diabetes. We assessed DNA methylation patterns using a bead chip in cord blood samples from infants of mothers with GDM (group 1) and infants with prenatal growth restraint indicated by rapid postnatal catch-up growth (group 2), compared with infants with normal postnatal growth (group 3). Seventy-five CpG loci were differentially methylated in groups 1 and 2 compared with the controls (group 3), representing 72 genes, many relevant to growth and diabetes. In replication studies using similar methodology, many of these differentially methylated regions were associated with levels of maternal glucose exposure below that defined by GDM [the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) study] or were identified as changes observed after randomized periconceptional nutritional supplementation in a Gambian cohort characterized by maternal deprivation. These Key Words: fetal programming ⅐ epigenetics ⅐ maternal environmentFetal exposure to a diabetic environment in utero is associated with an increased risk of impaired glucose tolerance and defective insulin secretory response in adults, independent of genetic predisposition to type 2 diabetes (1). In addition, maternal low birth weight (BW) is associated with an increased risk of gestational diabetes mellitus (GDM) in these women (2). In fact, an excess in maternal transmission of diabetes is consistent with an epigenetic effect of hyperglycemia in pregnancy acting in concert with genetic factors to produce diabetes in the next generation. The first manifestation in female offspring is often GDM in their own pregnancies, which illustrates how diabetes transmission can be perpetuated over generations (3).