Danish Diabetes Birth Registry 2: a study protocol of a national prospective cohort study to monitor outcomes of pregnancies of women with pre-existing diabetes.

INTRODUCTION: Despite technological developments and intensified care, pregnancies in women with pre-existing diabetes are still considered high-risk pregnancies. The rate of adverse outcomes in pregnancies affected by diabetes in Denmark is currently unknown, and there is a limited understanding of mechanisms contributing to this elevated risk. To address these gaps, the Danish Diabetes Birth Registry 2 (DDBR2) was established. The aims of this registry are to evaluate maternal and fetal-neonatal outcomes based on 5 years cohort data, and to identify pathophysiology and risk factors associated with short-term and long-term outcomes of pregnancies in women with pre-existing diabetes. METHODS AND ANALYSIS: The DDBR2 registry is a nationwide 5-year prospective cohort with an inclusion period from February 2023 to February 2028 of pregnancies in women with all types of pre-existing diabetes and includes registry, clinical and questionnaire data and biological samples of mother-partner-child trios. Eligible families (parents age ≥18 years and sufficient proficiency in Danish or English) can participate by either (1) basic level data obtained from medical records (mother and child) and questionnaires (partner) or (2) basic level data and additional data which includes questionnaires (mother and partner) and blood samples (all). The primary maternal outcome is Hemoglobin A1c (HbA1c) levels at the end of pregnancy and the primary offspring endpoint is the birth weight SD score. The DDBR2 registry will be complemented by genetic, epigenetic and metabolomic data as well as a biobank for future research, and the cohort will be followed through data from national databases to illuminate possible mechanisms that link maternal diabetes and other parental factors to a possible increased risk of adverse long-term child outcomes. ETHICS AND DISSEMINATION: Approval from the Ethical Committee is obtained (S-20220039). Findings will be sought published in international scientific journals and shared among the participating hospitals and policymakers. TRIAL REGISTRATION NUMBER: NCT05678543.

An umbrella review of systematic reviews on interventions of physical activity before pregnancy, during pregnancy, and postpartum to control and/or reduce weight gain.

BACKGROUND: The increasing prevalence of overweight and obesity worldwide represents a (chronic) complex public health problem. This is also seen among women of childbearing age despite increased efforts to promote physical activity (PA) interventions. Excessive gestational weight gain (GWG) is associated with negative health outcomes for both mothers and offspring. OBJECTIVES: To summarize current systematic reviews (SRs) on PA interventions during pregnancy and postpartum to prevent excessive GWG and identify the most effective approaches. SEARCH STRATEGY: A literature search was conducted on major electronic databases (MEDLINE/Pubmed, Cochrane, Web of Science, Epistemonikos) from inception to March 2023. SELECTION CRITERIA: This study included SRs and meta-analyses of studies involving women aged 18 years or older from diverse ethnic backgrounds, who were either in the preconception period, pregnant, or within 1 year postpartum and who had no contraindications for exercise. Women with chronic diseases, such as pre-existing diabetes (type 1 or type 2) were excluded. DATA COLLECTION AND ANALYSIS: Two reviewers extracted data from selected studies assessing the impact of PA in preconception, pregnancy, and postpartum. Methodologic quality was assessed with the AMSTAR-2 tool. A narrative summary of results addresses relationships between PA and weight before, during, and after pregnancy, informing future research priorities for preventing excessive weight gain. This study is registered on PROSPERO (CRD420233946666). MAIN RESULTS: Out of 892 identified articles, 25 studies were included after removing duplicates, unrelated titles, and screening titles and abstracts for eligibility. The results demonstrate that PA can help prevent excessive GWG and postpartum weight retention. Structured and supervised moderate-intensity exercise, at least twice a week, and each session lasting a minimum of 35 min seems to provide the greatest benefits. CONCLUSIONS: Women who comply with the PA program and recommendations are more likely to achieve adequate GWG and return to their pre-pregnancy body mass index after delivery. Further research is warranted to explore how preconception PA influences pregnancy and postpartum outcomes given the absence of identified preconception-focused interventions.

Validation of Obstetric Diagnosis and Procedure Codes in the Danish National Patient Registry in 2017.

Purpose: This study aimed to systematically evaluate the validity of variables related to pregnancy, delivery, and key characteristics of the infant in the Danish National Patient Register using maternal medical records as the reference standard. Patients and Methods: We reviewed medical records of 1264 women giving birth in the Region of Southern Denmark during 2017. We calculated positive (PPV) and negative (NPV) predictive values, sensitivity, and specificity to estimate the validity of 49 selected variables. Results: The PPV was ≥0.90 on most pregnancy-related variables including parity, pre-gestational BMI, diabetes disorders, and previous cesarean section, while it was lower for hypertensive disorders, especially mild to moderate preeclampsia (0.49, 95% CI 0.32-0.66). Sensitivity ranged from 0.80 to 1.00 on all pregnancy-related variables, except hypertensive disorders (sensitivity 0.38-0.71, lowest for severe preeclampsia). On most delivery-related variables including obstetric surgical procedures (eg cesarean section and induction of labor), pharmacological pain-relief, and gestational age at delivery, PPV's ranged from 0.98 to 1.00 and the corresponding sensitivities from 0.87 to 1.00. Regarding infant-related variables, both the APGAR score registered five minutes after delivery and birthweight yielded a PPV of 1.00. Conclusion: Obstetric coding in the Danish National Patient Register shows very high validity and completeness making it a valuable source for epidemiologic research.

Body mass index z-scores in the first 2 years of life were associated with adverse metabolic and anthropometric outcomes at 3 years of age.

AIM: We investigated associations between body mass index (BMI) z-scores for children aged 0-2 years and the BMI z-scores, body fat percentage and metabolic risk factors at 3 years of age. METHODS: This was a secondary analysis of the Lifestyle in Pregnancy and Offspring randomised controlled trial, carried out at two university hospitals in Denmark. It comprised 149 mothers with BMI ≥30 kg/m2 who did or did not receive a lifestyle intervention during pregnancy and a reference group of 97 mothers with normal-weight, with follow-up of their 3-year-old offspring. The children in these three groups were pooled for the data analyses, due to similar characteristics between groups. The BMI z-scores were calculated at 5 weeks, 5 months and 1, 2 and 3 years, using Danish reference groups. Their anthropometrics and metabolic outcomes were examined at 3 years of age. RESULTS: BMI z-scores at 5 months to 2 years were associated with BMI z-scores and body fat percentage at 3 years of age and BMI z-scores were not associated with metabolic risk factors at 3 years. CONCLUSION: BMI z-scores from 5 weeks of age were associated with adverse anthropometric outcomes but not with metabolic risk factors at 3 years of age.

Kidney Disease in Women With Previous Gestational Diabetes Mellitus: A Nationwide Register-Based Cohort Study.

OBJECTIVE: The association between gestational diabetes mellitus (GDM) and incident kidney disease, the mediating effects of diabetes and hypertension, and the impact of severity of metabolic dysfunction during pregnancy on the risk of incident kidney disease were investigated in this study. RESEARCH DESIGN AND METHODS: This Danish, nationwide, register-based cohort study included all women giving birth between 1997 and 2018. Outcomes included chronic kidney disease (CKD) and acute kidney disease, based on diagnosis codes. Cox regression analyses explored the association between GDM and kidney disease. A proxy for severity of metabolic dysfunction during pregnancy was based on GDM diagnosis and insulin treatment during GDM in pregnancy and was included in the models as an interaction term. The mediating effects of subsequent diabetes and hypertension prior to kidney disease were quantified using mediation analyses. RESULTS: Data from 697,622 women were used. Median follow-up was 11.9 years. GDM was associated with higher risk of CKD (adjusted hazard ratio [aHR] 1.92; 95% CI 1.67-2.21), whereas acute kidney disease was unrelated to GDM. The proportions of indirect effects of diabetes and hypertension on the association between GDM and CKD were 75.7% (95% CI 61.8-89.6) and 30.3% (95% CI 25.2-35.4), respectively, as assessed by mediation analyses. The CKD risk was significantly increased in women with insulin-treated GDM and no subsequent diabetes compared with women without GDM (aHR 2.35; 95% CI 1.39-3.97). CONCLUSIONS: The risk of CKD was significantly elevated after GDM irrespective of subsequent development of diabetes and hypertension. Furthermore, women with severe metabolic dysfunction during pregnancy had the highest CKD risk.

Health promotion intervention among women with recent gestational diabetes mellitus: penetration, participation, and baseline findings from the Face-it randomized controlled trial.

INTRODUCTION: Face-it is a randomized controlled trial for women with recent gestational diabetes mellitus (GDM) and their families designed to evaluate the effect of a health promotion intervention on type 2 diabetes mellitus (T2DM) risk and quality of life. This study examined (1) the penetration and participation rates for the Face-it trial, (2) the characteristics of the participating women and the potential differences in characteristics according to partner participation status, and (3) representativity of the women at baseline. RESEARCH DESIGN AND METHODS: We identified women with GDM during pregnancy and invited them and their partners to a baseline examination 10-14 weeks after delivery. Representativity was assessed by comparing the baseline participants with non-participating women, the general population of women with GDM delivering in Denmark, and populations from other intervention trials. RESULTS: The penetration rate was 38.0% (867/2279) and the participation rate was 32.9% (285/867). The 285 women who attended baseline had a mean age of 32.7 (±4.8) years and body mass index (BMI) of 28.1 (±5.4) kg/m2, and 69.8% had a partner who participated. The women participating with a partner were more often primiparous, born in Denmark (82.8% vs 68.2%), were younger, and more often had a BMI ≤24.9 kg/m2 (35.7% vs 21.2%) compared with women without a partner. Compared with the general population of women with GDM in Denmark, these women broadly had similar degree of heterogeneity, but had higher rates of primiparity and singleton deliveries, and lower rates of preterm delivery and prepregnancy obesity. CONCLUSIONS: The penetration and participation rates were acceptable. We found a high rate of partner participation. Overall, women participating with a partner were comparable with those participating without a partner. Participating women were broadly similar to the general national GDM population, however with prepregnancy obesity, multiparity, preterm delivery, and multiple pregnancy being less represented. TRIAL REGISTRATION NUMBER: NCT03997773.

Barriers and facilitators for sustainable weight loss in the pre-conception period among Danish women with overweight or obesity - a qualitative study.

BACKGROUND: The prevalence of overweight or obesity in women of reproductive age continues to increase. A high pre-pregnancy body mass index (BMI) has been shown to increase the risk of pregnancy complications and predispose offspring to childhood obesity. However, little is known about factors affecting women's ability to achieve sustainable weight management and very few studies have applied behavior change theory to qualitative data. AIM: This study aimed to explore barriers and facilitators for weight management among women with overweight or obesity, who wanted to lose weight before pregnancy. METHODS: We conducted semi-structured interviews with 17 women with a BMI ≥ 27 kg/m2, who planned to become pregnant in the near future. Data were analyzed using an abductive approach and the Capability, Opportunity, Motivation, and Behavior model was applied as a conceptual framework. RESULTS: The women's strongest motivator for pre-conception weight loss was their ability to become pregnant. Barriers to successful weight management included their partners' unhealthy behaviors, mental health challenges, competing priorities, and internalized weight stigmatization. The women described careful planning, partners' health behaviors, social support, and good mental health as facilitators for sustainable weight management. CONCLUSION: Our study provides insights into factors affecting weight management among women with overweight or obesity in the pre-conception period. Future interventions on weight management require a holistic approach, including a focus on social support, especially from the partner, and mental health, as well as an effort to limit internalized weight stigma.

Psychiatric Morbidity in Women With Previous Gestational Diabetes Mellitus: A Nationwide Register-Based Cohort Study.

OBJECTIVE: To investigate associations between previous gestational diabetes mellitus (GDM) and incident psychiatric morbidity, and to explore the role of subsequent diabetes development in psychiatric morbidity risk. RESEARCH DESIGN AND METHODS: A nationwide register-based cohort study including all women delivering in Denmark from 1997 to 2018 was conducted. GDM exposure was based on diagnosis code, whereas psychiatric morbidity outcome was based on diagnosis code and psychopharmacological medication use. Multiple Cox regression and mediation analyses were performed. RESULTS: In a study population of 660,017 women, previous GDM was associated with increased risk of depression based on diagnosis code and/or medication use (adjusted hazard ratio [aHR] 1.22 [95% CI 1.18-1.27]), any psychiatric diagnosis (aHR 1.20 [95% CI 1.13-1.27]), and any psychopharmacological medication use (aHR 1.21 [95% CI 1.17-1.25]). Moreover, risk of depressive and anxiety disorders, as well as antidepressant and antipsychotic medication use, was increased, with aHRs ranging from 1.14 (95% CI 1.05-1.25) to 1.32 (95% CI 1.22-1.42). No associations were found regarding substance use disorders, psychotic disorders, bipolar disorders, postpartum psychiatric disease, or anxiolytic medication use. Psychiatric morbidity risk was higher in women with versus without subsequent diabetes development. However, GDM history affected risk estimates only in women without subsequent diabetes. Subsequent diabetes mediated 35-42% of the associations between GDM and psychiatric morbidity. CONCLUSIONS: GDM was associated with increased psychiatric morbidity risk. Subsequent diabetes development played a significant role in future psychiatric morbidity risk after GDM, although it only partly explained the association.

The development of an IT-based intervention to support a healthy postpartum lifestyle through behavioral change.

Background: Pregnancy and the postpartum period are difficult times with increased risks of weight gain and weight retention. This study aims to provide new insights into developing and designing information an communication technology interventions to support a healthy postpartum lifestyle through behavioral changes.Methods: A participatory design approach, combined with the behavior change wheel, was applied. The intervention was based on outcomes from co-creation with postpartum parents, healthcare professionals, IT consultants, and researchers.Results: An intervention was developed that reflects users' requests and needs to support a healthy postpartum lifestyle through behavioral change. The intervention includes podcasts, video exercises, weight tracking, and weekly push notifications.Conclusion: Developing an intervention to support a healthy postpartum lifestyle is feasible using both a participatory design and the behavior change wheel.

Roux-en-Y Gastric Bypass Increases Glycemic Excursions During Pregnancy and Postpartum: A Prospective Cohort Study.

OBJECTIVE: Roux-en-Y gastric bypass (RYGB) and pregnancy markedly alter glucose metabolism, but evidence on glucose metabolism in pregnancy after RYGB is limited. Thus, the aims of the Bariatric Surgery and Consequences for Mother and Baby in Pregnancy study were to investigate interstitial glucose (IG) profiles during pregnancy, risk factors associated with hypoglycemia, and the association between fetal growth and hypoglycemia in pregnant women previously treated with RYGB, compared with control participants. RESEARCH DESIGN AND METHODS: Twenty-three pregnant women with RYGB and 23 BMI- and parity-matched pregnant women (control group) were prospectively studied with continuous glucose monitoring in their first, second, and third trimesters, and 4 weeks postpartum. Time in range (TIR) was defined as time with an IG level of 3.5-7.8 mmol/L. RESULTS: Women with RYGB were 4 years (interquartile range [IQR] 0-7) older than control participants. Pregnancies occurred 30 months (IQR 15-98) after RYGB, which induced a reduction in BMI from 45 kg/m2 (IQR 42-54) presurgery to 32 kg/m2 (IQR 27-39) prepregnancy. Women with RYGB spent decreased TIR (87.3-89.5% vs. 93.3-96.1%; P < 0.01) owing to an approximately twofold increased time above range and increased time below range (TBR) throughout pregnancy and postpartum compared with control participants. Women with increased TBR had a longer surgery-to-conception interval, lower nadir weight, and greater weight loss after RYGB. Finally, women giving birth to small-for-gestational age neonates experienced slightly increased TBR. CONCLUSIONS: Women with RYGB were more exposed to hypoglycemia and hyperglycemia during pregnancy compared with control participants. Further research should investigate whether hypoglycemia during pregnancy in women with RYGB is associated with decreased fetal growth.

Cardiovascular and metabolic morbidity in women with previous gestational diabetes mellitus: a nationwide register-based cohort study.

BACKGROUND: Gestational diabetes mellitus (GDM) is associated with adverse pregnancy outcomes and has maternal health implications reaching beyond the perinatal period. We aimed to investigate the incidence and severity of cardiovascular and metabolic morbidity in women with previous GDM in a Danish population and to study whether proxies of impaired beta cell function-insulin treatment during GDM pregnancy and development of subsequent manifest diabetes mellitus-influence incident risk of cardiovascular and metabolic morbidity. METHODS: A nationwide register-based cohort study was conducted on the complete cohort of 700,648 women delivering in Denmark during 1997-2018. The exposure variable was GDM and primary outcome was overall cardiovascular and metabolic morbidity. Secondary outcomes were major cardiovascular disease (ischemic heart disease, heart failure, and/or stroke/transient cerebral ischemia), hypertension, dyslipidemia, and venous thrombosis. Severity of morbidity was assessed using number of hospital contacts with diagnosis codes related to cardiovascular and metabolic morbidity and number of redemptions of prescribed medication related to cardiovascular and metabolic morbidity in women who developed cardiovascular and metabolic morbidity after pregnancy. RESULTS: The median follow-up period was 10.2-11.9 years with a total range of 0-21.9 years. GDM was associated with increased risk of any cardiovascular and metabolic morbidity (adjusted HR 2.13 [95% CI 2.07-2.20]), major cardiovascular disease (adjusted HR 1.69 [95% CI 1.55-1.84]), hypertension (adjusted HR 1.89 [95% CI 1.82-1.96], dyslipidemia (adjusted HR 4.48 [95% CI 4.28-4.69]), and venous thrombosis (adjusted HR 1.32 [95% CI 1.16-1.50]). Insulin treatment during pregnancy and subsequent development of manifest diabetes exacerbated the risk estimates. Previous GDM was associated with more hospital contacts and more redeemed prescriptions in women developing cardiovascular and metabolic morbidity (p < 0.001). CONCLUSIONS: Previous GDM was associated with significantly higher risk of cardiovascular and metabolic morbidity, especially incident dyslipidemia. Risks were exacerbated by proxies of beta cell impairment. Severity of morbidity was significantly worse if GDM preceded cardiovascular and metabolic morbidity.

Long-Term Metabolic Outcomes after Gestational Diabetes Mellitus (GDM): Results from the Odense GDM Follow-Up Study (OGFUS).

Aims: To compare metabolic profiles and the long-term risk of metabolic dysfunction between women with previous gestational diabetes mellitus (pGDM) and women without pGDM (non-GDM) matched on age, prepregnancy body mass index (BMI), and parity. Methods: In total, 128 women with pGDM (median follow-up: 7.8 years) and 70 non-GDM controls (median follow-up: 10.0 years) completed a 2 h oral glucose tolerance test (OGTT) with assessment of glucose, C-peptide, insulin, and other metabolic measures. Additionally, anthropometrics, fat mass, and blood pressure were assessed and indices of insulin sensitivity and beta cell function were calculated. Results: The prevalence of type 2 diabetes mellitus (T2DM) was significantly higher in the pGDM group compared to the non-GDM group (26% vs. 0%). For women with pGDM, the prevalence of prediabetes (38%) and the metabolic syndrome (MetS) (59%) were approximately 3-fold higher than in non-GDM women (p's < 0.001). Both insulin sensitivity and beta cell function were significantly reduced in pGDM women compared to non-GDM women. Conclusion: Despite similar BMI, women with pGDM had a substantially higher risk of developing T2DM, prediabetes, and the MetS compared to controls. Both beta cell dysfunction and reduced insulin sensitivity seem to contribute to this increased risk.

Hypoglycemia in Pregnancies Following Gastric Bypass-a Systematic Review and Meta-analysis.

The aims of this systematic review were to identify the prevalence of hypoglycemia among pregnant women treated with gastric bypass, and risk factors of hypoglycemic events in pregnancy. We searched MEDLINE, EMBASE, Cochrane, and Scopus databases from inception to April 6, 2021. Six studies investigating glucose metabolism in pregnancy following gastric bypass were included (n = 330). As assessed by the oral glucose tolerance test and continuous glucose monitoring, 57.6% (95% CI [40.1, 75.1]) of women with gastric bypass were exposed to hypoglycemia during pregnancy. No studies performed the mixed meal test, and no studies reported on risk factors associated with hypoglycemia. Further studies are required to determine the magnitude of hypoglycemia in these women's everyday-life using continuous glucose monitoring and mixed meal test.

Systematically developing a family-based health promotion intervention for women with prior gestational diabetes based on evidence, theory and co-production: the Face-it study.

BACKGROUND: Women with prior gestational diabetes mellitus (GDM) are at high risk of developing type 2 diabetes; however, this risk can be reduced by engaging in positive health behaviours e.g. healthy diet and regular physical activity. As such behaviours are difficult to obtain and maintain there is a need to develop sustainable behavioural interventions following GDM. We aimed to report the process of systematically developing a health promotion intervention to increase quality of life and reduce diabetes risk among women with prior GDM and their families. We distil general lessons about developing complex interventions through co-production and discuss our extensions to intervention development frameworks. METHODS: The development process draws on the Medical Research Council UK Development of complex interventions in primary care framework and an adaptation of a three-stage framework proposed by Hawkins et al. From May 2017 to May 2019, we iteratively developed the Face-it intervention in four stages: 1) Evidence review, qualitative research and stakeholder consultations; 2) Co-production of the intervention content; 3) Prototyping, feasibility- and pilot-testing and 4) Core outcome development. In all stages, we involved stakeholders from three study sites. RESULTS: During stage 1, we identified the target areas for health promotion in families where the mother had prior GDM, including applying a broad understanding of health and a multilevel and multi-determinant approach. We pinpointed municipal health visitors as deliverers and the potential of using digital technology. In stage 2, we tested intervention content and delivery methods. A health pedagogic dialogue tool and a digital health app were co-adapted as the main intervention components. In stage 3, the intervention content and delivery were further adapted in the local context of the three study sites. Suggestions for intervention manuals were refined to optimise flexibility, delivery, sequencing of activities and from this, specific training manuals were developed. Finally, at stage 4, all stakeholders were involved in developing realistic and relevant evaluation outcomes. CONCLUSIONS: This comprehensive description of the development of the Face-it intervention provides an example of how to co-produce and prototype a complex intervention balancing evidence and local conditions. The thorough, four-stage development is expected to create ownership and feasibility among intervention participants, deliverers and local stakeholders. TRIAL REGISTRATION: ClinicalTrials.gov NCT03997773 , registered retrospectively on 25 June 2019.

[Treatment of incidentally found group B streptococcus in urine of pregnant women].

Group B streptococcus (GBS) is a group of naturally occurring bacteria that colonises the anogenital region of every third pregnant woman. From the anogenital region they can colonise the urine and cause bacteriuria. It is well documented that treatment of GBS-bacteriuria with more than 104 colony forming units per millilitre (CFU/ml) reduces the risk of maternal and neonatal morbidity. There is, however, no clear evidence as summarised in this review that GBS-bacteriuria more than 104 CFU/ml increases the risk of maternal and neonatal morbidity which is why no treatment is warranted.

The effects of dietary and lifestyle interventions among pregnant women with overweight or obesity on early childhood outcomes: an individual participant data meta-analysis from randomised trials.

BACKGROUND: The impact of maternal obesity extends beyond birth, being independently associated with an increased risk of child obesity. Current evidence demonstrates that women provided with a dietary intervention during pregnancy improve their dietary quality and have a modest reduction in gestational weight gain. However, the effect of this on longer-term childhood obesity-related outcomes is unknown. METHODS: We conducted an individual participant data meta-analysis from RCTs in which women with a singleton, live gestation between 10+0 and 20+0 weeks and body mass index (BMI) ≥ 25 kg/m2 in early pregnancy were randomised to a diet and/or lifestyle intervention or continued standard antenatal care and in which longer-term maternal and child follow-up at 3-5 years of age had been undertaken. The primary childhood outcome was BMI z-score above the 90th percentile. Secondary childhood outcomes included skinfold thickness measurements and body circumferences, fat-free mass, dietary and physical activity patterns, blood pressure, and neurodevelopment. RESULTS: Seven primary trials where follow-up of participants occurred were identified by a systematic literature search within the International Weight Management in Pregnancy (i-WIP) Collaborative Group collaboration, with six providing individual participant data. No additional studies were identified after a systematic literature search. A total of 2529 children and 2383 women contributed data. Approximately 30% of all child participants had a BMI z-score above the 90th percentile, with no significant difference between the intervention and control groups (aRR 0.97; 95% CI 0.87, 1.08; p=0.610). There were no statistically significant differences identified for any of the secondary outcome measures. CONCLUSIONS: In overweight and obese pregnant women, we found no evidence that maternal dietary and/or lifestyle intervention during pregnancy modifies the risk of early childhood obesity. Future research may need to target the pre-conception period in women and early childhood interventions. TRIAL REGISTRATION: PROSPERO, CRD42016047165.

Barriers to a healthy postpartum lifestyle and the possibilities of an information technology-based intervention: A qualitative study.

BACKGROUND: Being overweight or obese is associated with higher risk of adverse maternal and fetal outcomes, including gestational diabetes and childhood obesity. Many women exceed the gestational weight gain recommendations. Thus, it is important to focus on the women's lifestyle between their pregnancies to lower the risk of weight retention before the next pregnancy as well as in a life course perspective. OBJECTIVE: The objective of this study was to explore barriers postpartum women experience with respect to a healthy lifestyle during the postpartum period, and to assess whether an IT-based intervention might be a supportive tool to assist and motivate postpartum women to healthy lifestyle. METHOD: A systematic text condensation was applied to semi-structured focus groups. Five focus group interviews were carried out with a total of 17 postpartum women and two interviews with a total of six health professionals. Participants were recruited through the municipality in Svendborg, Denmark, and at Odense University Hospital in Odense, Denmark, during a four-month period in early 2018. The results were analysed within the frame of the capability, opportunity, motivation and behaviour model (COM-B). RESULTS: From the women's perspective, better assistance is needed from the health professionals to obtain or maintain a healthy lifestyle. The women need tools that inform and help them understand and prioritize own health related risks, and to motivate them to plan and take care of their own health. There is room for engaging the partner more in the communication related to the baby and family's lifestyle. Lastly, the women already use audiobooks and podcasts to obtain information. CONCLUSION: Postpartum women need tools that inform and motivate for a healthy lifestyle postpartum. The tools should allow access to high quality information from health care professionals when the information is needed and also allow engagement from the partner. An IT-based intervention could be a way to support and motivate postpartum women for a healthy lifestyle.

Validation and development of models using clinical, biochemical and ultrasound markers for predicting pre-eclampsia: an individual participant data meta-analysis.

BACKGROUND: Pre-eclampsia is a leading cause of maternal and perinatal mortality and morbidity. Early identification of women at risk is needed to plan management. OBJECTIVES: To assess the performance of existing pre-eclampsia prediction models and to develop and validate models for pre-eclampsia using individual participant data meta-analysis. We also estimated the prognostic value of individual markers. DESIGN: This was an individual participant data meta-analysis of cohort studies. SETTING: Source data from secondary and tertiary care. PREDICTORS: We identified predictors from systematic reviews, and prioritised for importance in an international survey. PRIMARY OUTCOMES: Early-onset (delivery at < 34 weeks' gestation), late-onset (delivery at ≥ 34 weeks' gestation) and any-onset pre-eclampsia. ANALYSIS: We externally validated existing prediction models in UK cohorts and reported their performance in terms of discrimination and calibration. We developed and validated 12 new models based on clinical characteristics, clinical characteristics and biochemical markers, and clinical characteristics and ultrasound markers in the first and second trimesters. We summarised the data set-specific performance of each model using a random-effects meta-analysis. Discrimination was considered promising for C-statistics of ≥ 0.7, and calibration was considered good if the slope was near 1 and calibration-in-the-large was near 0. Heterogeneity was quantified using I2 and τ2. A decision curve analysis was undertaken to determine the clinical utility (net benefit) of the models. We reported the unadjusted prognostic value of individual predictors for pre-eclampsia as odds ratios with 95% confidence and prediction intervals. RESULTS: The International Prediction of Pregnancy Complications network comprised 78 studies (3,570,993 singleton pregnancies) identified from systematic reviews of tests to predict pre-eclampsia. Twenty-four of the 131 published prediction models could be validated in 11 UK cohorts. Summary C-statistics were between 0.6 and 0.7 for most models, and calibration was generally poor owing to large between-study heterogeneity, suggesting model overfitting. The clinical utility of the models varied between showing net harm to showing minimal or no net benefit. The average discrimination for IPPIC models ranged between 0.68 and 0.83. This was highest for the second-trimester clinical characteristics and biochemical markers model to predict early-onset pre-eclampsia, and lowest for the first-trimester clinical characteristics models to predict any pre-eclampsia. Calibration performance was heterogeneous across studies. Net benefit was observed for International Prediction of Pregnancy Complications first and second-trimester clinical characteristics and clinical characteristics and biochemical markers models predicting any pre-eclampsia, when validated in singleton nulliparous women managed in the UK NHS. History of hypertension, parity, smoking, mode of conception, placental growth factor and uterine artery pulsatility index had the strongest unadjusted associations with pre-eclampsia. LIMITATIONS: Variations in study population characteristics, type of predictors reported, too few events in some validation cohorts and the type of measurements contributed to heterogeneity in performance of the International Prediction of Pregnancy Complications models. Some published models were not validated because model predictors were unavailable in the individual participant data. CONCLUSION: For models that could be validated, predictive performance was generally poor across data sets. Although the International Prediction of Pregnancy Complications models show good predictive performance on average, and in the singleton nulliparous population, heterogeneity in calibration performance is likely across settings. FUTURE WORK: Recalibration of model parameters within populations may improve calibration performance. Additional strong predictors need to be identified to improve model performance and consistency. Validation, including examination of calibration heterogeneity, is required for the models we could not validate. STUDY REGISTRATION: This study is registered as PROSPERO CRD42015029349. FUNDING: This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 24, No. 72. See the NIHR Journals Library website for further project information.

WHAT IS THE PROBLEM?: Pre-eclampsia, a condition in pregnancy that results in raised blood pressure and protein in the urine, is a major cause of complications for the mother and baby. WHAT IS NEEDED?: A way of accurately identifying women at high risk of pre-eclampsia to allow clinicians to start preventative interventions such as administering aspirin or frequently monitoring women during pregnancy. WHERE ARE THE RESEARCH GAPS?: Although over 100 tools (models) have been reported worldwide to predict pre-eclampsia, to date their performance in women managed in the UK NHS is unknown. WHAT DID WE PLAN TO DO?: We planned to comprehensively identify all published models that predict the risk of pre-eclampsia occurring at any time during pregnancy and to assess if this prediction is accurate in the UK population. If the existing models did not perform satisfactorily, we aimed to develop new prediction models. WHAT DID WE FIND?: We formed the International Prediction of Pregnancy Complications network, which provided data from a large number of studies (78 studies, 25 countries, 125 researchers, 3,570,993 singleton pregnancies). We were able to assess the performance of 24 out of the 131 models published to predict pre-eclampsia in 11 UK data sets. The models did not accurately predict the risk of pre-eclampsia across all UK data sets, and their performance varied within individual data sets. We developed new prediction models that showed promising performance on average across all data sets, but their ability to correctly identify women who develop pre-eclampsia varied between populations. The models were more clinically useful when used in the care of first-time mothers pregnant with one child, compared to a strategy of treating them all as if they were at high-risk of pre-eclampsia. WHAT DOES THIS MEAN?: Before using the International Prediction of Pregnancy Complications models in various populations, they need to be adjusted for characteristics of the particular population and the setting of application.

External validation of prognostic models predicting pre-eclampsia: individual participant data meta-analysis.

BACKGROUND: Pre-eclampsia is a leading cause of maternal and perinatal mortality and morbidity. Early identification of women at risk during pregnancy is required to plan management. Although there are many published prediction models for pre-eclampsia, few have been validated in external data. Our objective was to externally validate published prediction models for pre-eclampsia using individual participant data (IPD) from UK studies, to evaluate whether any of the models can accurately predict the condition when used within the UK healthcare setting. METHODS: IPD from 11 UK cohort studies (217,415 pregnant women) within the International Prediction of Pregnancy Complications (IPPIC) pre-eclampsia network contributed to external validation of published prediction models, identified by systematic review. Cohorts that measured all predictor variables in at least one of the identified models and reported pre-eclampsia as an outcome were included for validation. We reported the model predictive performance as discrimination (C-statistic), calibration (calibration plots, calibration slope, calibration-in-the-large), and net benefit. Performance measures were estimated separately in each available study and then, where possible, combined across studies in a random-effects meta-analysis. RESULTS: Of 131 published models, 67 provided the full model equation and 24 could be validated in 11 UK cohorts. Most of the models showed modest discrimination with summary C-statistics between 0.6 and 0.7. The calibration of the predicted compared to observed risk was generally poor for most models with observed calibration slopes less than 1, indicating that predictions were generally too extreme, although confidence intervals were wide. There was large between-study heterogeneity in each model's calibration-in-the-large, suggesting poor calibration of the predicted overall risk across populations. In a subset of models, the net benefit of using the models to inform clinical decisions appeared small and limited to probability thresholds between 5 and 7%. CONCLUSIONS: The evaluated models had modest predictive performance, with key limitations such as poor calibration (likely due to overfitting in the original development datasets), substantial heterogeneity, and small net benefit across settings. The evidence to support the use of these prediction models for pre-eclampsia in clinical decision-making is limited. Any models that we could not validate should be examined in terms of their predictive performance, net benefit, and heterogeneity across multiple UK settings before consideration for use in practice. TRIAL REGISTRATION: PROSPERO ID: CRD42015029349 .