Does weight management after gestational diabetes mellitus diagnosis improve pregnancy outcomes? A multi-ethnic cohort study.

AIMS: To assess the impact of achieving an Institute of Medicine based personalised weight target in addition to conventional glycaemic management after gestational diabetes mellitus diagnosis on maternal and neonatal outcomes. METHODS: A retrospective audit of clinical data (2016-2019) for singleton gestational diabetes pregnancies was conducted in a multi-ethnic cohort. Logistic regression analyses assessed relationships between achieving, exceeding and gaining less than a personalised weight target provided after gestational diabetes diagnosis and rates of large for gestational age, small for gestational age infants, insulin therapy initiation and neonatal outcomes. Adjusted odds ratios (aOR) were adjusted for glucose 2-h post-glucose load value, family history of type 2 diabetes, previous gestational diabetes, macrosomia in a previous pregnancy, and East and South-East Asian ethnicity. RESULTS: Of 1034 women, 44% (n = 449) achieved their personalised weight target. Women who exceeded their personalised weight target had significantly and higher mean insulin doses (28.8 ± 21.5 units vs. 22.7 ± 18.7, p = 0.006) and higher rates of large for gestational age infants (19% vs. 9.8%, p < 0.001), with aOR of 1.99 [95% CI 1.25-3.15] p = 0.004, but no difference in rates of small for gestational age infants (5.3% vs. 8.0%) (aOR 0.77 [0.41-1.44] p = 0.41). Lower rates of large for gestational age infants occurred in those who gained below their personalised weight target (aOR 0.48 [0.25-0.95] p = 0.034), but rates of small for gestational age infants concurrently increased (aOR 1.9 [1.19-3.12] p = 0.008). CONCLUSIONS: Weight management after gestational diabetes diagnosis does not appear to be too late to confer additional benefits to glucose-lowering treatment, resulting in lower mean insulin doses, and lower rates of large for gestational age infants without increasing the risk of small for gestational age infants.

Excessive Weight Gain Before and During Gestational Diabetes Mellitus Management: What Is the Impact?

OBJECTIVE: Conventional gestational diabetes mellitus (GDM) management focuses on managing blood glucose in order to prevent adverse outcomes. We hypothesized that excessive weight gain at first presentation with GDM (excessive gestational weight gain [EGWG]) and continued EGWG (cEGWG) after commencing GDM management would increase the risk of adverse outcomes, despite treatment to optimize glycemia. RESEARCH DESIGN AND METHODS: Data collected prospectively from pregnant women with GDM at a single institution were analyzed. GDM was diagnosed on the basis of Australasian Diabetes in Pregnancy Society 1998 guidelines (1992-2015). EGWG means having exceeded the upper limit of the Institute of Medicine-recommended target ranges for the entire pregnancy, by GDM presentation. The relationship between EGWG and antenatal 75-g oral glucose tolerance test (oGTT) values and adverse outcomes was evaluated. Relationships were examined between cEGWG, insulin requirements, and large-for-gestational-age (LGA) infants. RESULTS: Of 3,281 pregnant women, 776 (23.6%) had EGWG. Women with EGWG had higher mean fasting plasma glucose (FPG) on oGTT (5.2 mmol/L [95% CI 5.1-5.3] vs. 5.0 mmol/L [95% CI 4.9-5.0]; P < 0.01), after adjusting for confounders, and more often received insulin therapy (47.0% vs. 33.6%; P < 0.0001), with an adjusted odds ratio (aOR) of 1.4 (95% CI 1.1-1.7; P < 0.01). aORs for each 2-kg increment of cEGWG were a 1.3-fold higher use of insulin therapy (95% CI 1.1-1.5; P < 0.001), an 8-unit increase in final daily insulin dose (95% CI 5.4-11.0; P < 0.0001), and a 1.4-fold increase in the rate of delivery of LGA infants (95% CI 1.2-1.7; P < 0.0001). CONCLUSIONS: The absence of EGWG and restricting cEGWG in GDM have a mitigating effect on oGTT-based FPG, the risk of having an LGA infant, and insulin requirements.

Psychological interventions for people with psychotic experiences: protocol for a systematic review and meta-analysis.

BACKGROUND: Many people who have common mental disorders, such as depression and anxiety, also have some psychotic experiences. These experiences are associated with higher clinical complexity, poor treatment response, and negative clinical outcomes. Psychological interventions have the potential to improve outcomes for people with psychotic experiences. The aims of this systematic review are to (1) synthesise the evidence on the effectiveness and cost-effectiveness of psychological interventions to reduce psychotic experiences and their associated distress and (2) identify key components of effective interventions. METHODS: Our search strategy will combine terms for (1) psychological interventions, (2) psychotic experiences, and (3) symptoms associated with psychotic experiences. We will search the following online databases: MEDLINE, Embase, PsycINFO, all Cochrane databases, British Nursing Index (BNI), Cumulative Index to Nursing and Allied Health Literature (CINAHL), Health Management Information Consortium (HMIC), Education Resources Information Center (ERIC), and EconLit. Our primary outcome is the proportion of people who recovered or remitted from psychotic experiences after the intervention. Our secondary outcomes are changes in positive psychotic symptoms, negative psychotic symptoms, depression, anxiety, functioning (including social, occupational, and academic), quality of life, and cost-effectiveness. Two independent reviewers will judge each study against pre-specified inclusion and exclusion criteria and will extract study characteristics, outcome data, and intervention components. Risk of bias and methodological quality will be assessed using the Effective Public Health Practice Project Quality Assessment Tool for Quantitative Studies and the Drummond Checklist. Results will be synthesised using random-effects meta-analysis and narrative synthesis. DISCUSSION: The identification of effective psychological interventions and of specific components associated with intervention effectiveness will augment existing evidence that can inform the development of a new, tailored intervention to improve outcomes related to psychotic symptoms, anxiety and depression, distress, functioning, and quality of life. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42016033869.

Application of CYP3A4 in vitro data to predict clinical drug-drug interactions; predictions of compounds as objects of interaction.

WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT: Numerous retrospective analyses have shown the utility of in vitro systems for predicting potential drug-drug interactions (DDIs). Prediction of DDIs from in vitro data is commonly obtained using estimates of enzyme K(i), inhibitor and substrate concentrations and absorption rate for substrate and inhibitor. WHAT THIS STUDY ADDS: Using a generic approach for all test compounds, the findings from the current study showed the use of recombinant P450s provide a more robust in vitro measure of P450 contribution (fraction metabolized, f(m)) than that achieved when using chemical inhibitors in combination with human liver microsomes, for the prediction of potential CYP3A4 drug-drug interactions prior to clinical investigation. The current study supported the use of SIMCYP(R), a modelling and simulation software in utilizing the in vitro measures in the prediction of potential drug-drug interactions. AIMS: The aim of this study was to explore and optimize the in vitro and in silico approaches used for predicting clinical DDIs. A data set containing clinical information on the interaction of 20 Pfizer compounds with ketoconazole was used to assess the success of the techniques. METHODS: The study calculated the fraction and the rate of metabolism of 20 Pfizer compounds via each cytochrome P450. Two approaches were used to determine fraction metabolized (f(m)); 1) by measuring substrate loss in human liver microsomes (HLM) in the presence and absence of specific chemical inhibitors and 2) by measuring substrate loss in individual cDNA expressed P450s (also referred to as recombinant P450s (rhCYP)) The fractions metabolized via each CYP were used to predict the drug-drug interaction due to CYP3A4 inhibition by ketoconazole using the modelling and simulation software SIMCYP. RESULTS: When in vitro data were generated using Gentest supersomes, 85% of predictions were within two-fold of the observed clinical interaction. Using PanVera baculosomes, 70% of predictions were predicted within two-fold. In contrast using chemical inhibitors the accuracy was lower, predicting only 37% of compounds within two-fold of the clinical value. Poorly predicted compounds were found to either be metabolically stable and/or have high microsomal protein binding. The use of equilibrium dialysis to generate accurate protein binding measurements was especially important for highly bound drugs. CONCLUSIONS: The current study demonstrated that the use of rhCYPs with SIMCYP provides a robust in vitro system for predicting the likelihood and magnitude of changes in clinical exposure of compounds as a consequence of CYP3A4 inhibition by a concomitantly administered drug.

Impact of Penny Brohn UK's Living Well Course on Informal Caregivers of People with Cancer.

OBJECTIVES: This study evaluated the change in the concerns, wellbeing, and lifestyle behaviors of informal caregivers of people with cancer attending Penny Brohn UK's Living Well Course (LWC), a self-management education intervention. DESIGN: A pre-postcourse design collected self-reported quantitative and qualitative data from informal caregivers attending a LWC. SETTING/LOCATION: Penny Brohn UK is a United Kingdom-based charity (not-for-profit) providing specialist integrative, whole person support, free of charge, to people affected by cancer. SUBJECTS: Informal caregivers taking part in a Penny Brohn UK LWC between June 2014 and May 2016 attending alongside the person with cancer. INTERVENTION: The LWC is a structured 15 h, multimodal group self-management educational course, designed to help people affected by cancer learn tools and techniques to help build resilience. Trained facilitators deliver LWCs to around 12 people with various types and stages of cancer and their informal caregivers. OUTCOME MEASURES: Measure Yourself Concern and Wellbeing (MYCaW) completed precourse and at 6 weeks postcourse; and bespoke 6-week follow-up Patient Reported Experience Measure. RESULTS: Four hundred eighty informal caregivers attended a LWC June 2014 to May 2016. One hundred eighteen completed a 6-week follow-up MYCaW: MYCaW Concerns 1 and 2 showed statistically significant improvements (p < 0.0001), there was no significant improvement in wellbeing. Informal caregivers' most reported concerns relating to themselves were psychological and emotional issues (59%). The primary concern of the caregiver for the care recipient was related to the physical health of the person with cancer (40%). Eighty-seven percent of responding informal caregivers stated that the LWC enabled health self-management. CONCLUSIONS: The LWC was followed by an improvement in informal caregivers' concerns, and increased self-management of their own health needs. More studies, with larger sample size, are needed to explore if better self-management by informal caregivers may also lead to improvements in patients' health and wellbeing.