Obstetrics and gynecology.

In 2010, under the guidance of the DGAI (German Society of Anaesthesiology and Intensive Care Medicine) and DIVI (German Interdisciplinary Association for Intensive Care and Emergency Medicine), twelve German medical societies published the "Evidence- and Consensus-based Guidelines on the Management of Analgesia, Sedation and Delirium in Intensive Care". Since then, several new studies and publications have considerably increased the body of evidence, including the new recommendations from the American College of Critical Care Medicine (ACCM) in conjunction with Society of Critical Care Medicine (SCCM) and American Society of Health-System Pharmacists (ASHP) from 2013. For this update, a major restructuring and extension of the guidelines were needed in order to cover new aspects of treatment, such as sleep and anxiety management. The literature was systematically searched and evaluated using the criteria of the Oxford Center of Evidence Based Medicine. The body of evidence used to formulate these recommendations was reviewed and approved by representatives of 17 national societies. Three grades of recommendation were used as follows: Grade "A" (strong recommendation), Grade "B" (recommendation) and Grade "0" (open recommendation). The result is a comprehensive, interdisciplinary, evidence and consensus-based set of level 3 guidelines. This publication was designed for all ICU professionals, and takes into account all critically ill patient populations. It represents a guide to symptom-oriented prevention, diagnosis, and treatment of delirium, anxiety, stress, and protocol-based analgesia, sedation, and sleep-management in intensive care medicine.

Evidence and consensus based guideline for the management of delirium, analgesia, and sedation in intensive care medicine. Revision 2015 (DAS-Guideline 2015) – short version

OBJECTIVE: To present new data on sexual initiation, contraceptive use, and pregnancy among US adolescents aged 10 to 19, and to compare the youngest adolescents’ behaviors with those of older adolescents. METHODS: Using nationally representative data from several rounds of the National Survey of Family Growth, we performed event history (ie, survival) analyses to examine timing of sexual initiation and contraceptive use. We calculated adolescent pregnancy rates by single year of age using data from the National Center for Health Statistics, the Guttmacher Institute, and the US Census Bureau. RESULTS: Sexual activity is and has long been rare among those 12 and younger; most is nonconsensual. By contrast, most older teens (aged 17–19) are sexually active. Approximately 30% of those aged 15 to 16 have had sex. Pregnancy rates among the youngest teens are exceedingly low, for example, ∼1 per 10 000 girls aged 12. Contraceptive uptake among girls as young as 15 is similar to that of their older counterparts, whereas girls who start having sex at 14 or younger are less likely to have used a method at first sex and take longer to begin using contraception. CONCLUSIONS: Sexual activity and pregnancy are rare among the youngest adolescents, whose behavior represents a different public health concern than the broader issue of pregnancies to older teens. Health professionals can improve outcomes for teenagers by recognizing the higher likelihood of nonconsensual sex among younger teens and by teaching and making contraceptive methods available to teen patients before they become sexually active.

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Sexual Initiation, Contraceptive Use, and Pregnancy Among Young Adolescents

Gestational weight gain.

Obesity and mental disorders during pregnancy and postpartum: a systematic review and meta-analysis.

Neonatal abstinence syndrome (NAS) secondary to in-utero opioid exposure is an increasing problem. Variability in assessment and treatment of NAS has been attributed to the lack of high-quality evidence to guide management of exposed neonates. This systematic review examines available evidence for NAS assessment tools, nonpharmacologic interventions, and pharmacologic management of opioid-exposed infants. There is limited data on the inter-observer reliability of NAS assessment tools due to lack of a standardized approach. In addition, most scales were developed prior to the prevalent use of prescribed prenatal concomitant medications, which can complicate NAS assessment. Nonpharmacologic interventions, particularly breastfeeding, may decrease NAS severity. Opioid medications such as morphine or methadone are recommended as first-line therapy, with phenobarbital or clonidine as second-line adjunctive therapy. Further research is needed to determine best practices for assessment, nonpharmacologic intervention, and pharmacologic management of infants with NAS in order to improve outcomes.

/pdf/review-of-the-assessment-and-management-of-neonatal-4iqm1ctem4.pdf

Review of the assessment and management of neonatal abstinence syndrome

To compare classification of pre-pregnancy body mass index (BMI) using self-reported pre-pregnancy weight versus weight measured at the first prenatal visit. Retrospective cohort of 307 women receiving prenatal care at the faculty and resident obstetric clinics at a Massachusetts tertiary-care center. Eligible women initiated prenatal care prior to 14 weeks gestation and delivered singleton infants between April 2007 and March 2008. On average, self-reported weight was 4 pounds lighter than measured weight at the first prenatal visit (SD 7.2 pounds; range: 19 pounds lighter to 35 pounds heavier). Using self-reported pre-pregnancy weight to calculate pre-pregnancy BMI, 4.2 % of women were underweight, 48.9 % were normal weight, 25.4 % were overweight, and 21.5 % were obese. Using weight measured at first prenatal visit, these were 3.6, 45.3, 26.4, and 24.8 %, respectively. Classification of pre-pregnancy BMI was concordant for 87 % of women (weighted kappa = 0.86; 95 % CI 0.81–0.90). Women gained an average of 32.1 pounds (SD 18.0 pounds) during pregnancy. Of the 13 % of the sample with discrepant BMI classification, 74 % gained within the same adherence category when comparing weight gain to Institute of Medicine recommendations. For the vast majority of women, self-reported pre-pregnancy weight and measured weight at first prenatal visit resulted in identical classification of pre-pregnancy BMI. In absence of measured pre-pregnancy weight, we recommend that providers calculate both values and discuss discrepancies with their pregnant patients, as significant weight loss or gain during the first trimester may indicate a need for additional oversight with potential intervention.

/pdf/self-reported-pre-pregnancy-weight-versus-weight-measured-at-k5hxsivo88.pdf

Self-reported Pre-pregnancy Weight Versus Weight Measured at First Prenatal Visit: Effects on Categorization of Pre-pregnancy Body Mass Index

BackgroundExcessive gestational weight gain (EGWG) places women at increased risk for complications during pregnancy and also increases the likelihood that they will remain overweight after pregnan...

Erica Holland

Papers

Review of the assessment and management of neonatal abstinence syndrome

Self-reported Pre-pregnancy Weight Versus Weight Measured at First Prenatal Visit: Effects on Categorization of Pre-pregnancy Body Mass Index

Factors Associated With Excessive Gestational Weight Gain: Review of Current Literature.

Evaluation of a Quality Improvement Intervention That Eliminated Routine Use of Opioids After Cesarean Delivery.

Pregnancy and Childbirth After Sexual Trauma: Patient Perspectives and Care Preferences.