Childhood adversity and the risk of gestational diabetes: A population‐based cohort study of nulliparous pregnant women

Davies, Megan; van Houten, Charlotte S.; Bengtsson, Jessica; Elsenburg, Leonie K.; Kragelund Nielsen, Karoline; Andersen, Gregers S.; Damm, Peter; Rod, Naja H.

doi:10.1111/dme.15242

Cited by 2 publications

(2 citation statements)

References 30 publications

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“…It may be that the impacts of life course trauma on pregnancy outcomes is mediated by parity and age at first pregnancy. 37,38 We are unable to tease that out given that we only include a single delivery per participant and not a full reproductive history. This is not to state that trauma had no impact on the lives of participants.…”

Section: Discussionmentioning

confidence: 99%

Types and timing of trauma exposure across the life course and maternal hypertension

Stanhope,

Michopoulos,

Powers

et al. 2023

Preprint

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ObjectiveTo estimate associations between types and timing (first occurrence and time since) of trauma exposure and hypertension experienced during pregnancy in a safety-net hospital in Atlanta, Georgia.MethodsParticipants completed a 14-item trauma screener. We linked that information to data from the medical record on hypertension (inclusive of chronic hypertension, gestational hypertension, or preeclampsia). We fit logistic regression models and used the estimates to calculate risk ratios for each trauma type and each critical window (0-9 years, 10-19, and 20+). We fit unadjusted models and adjusted for age, parity, and education.ResultsWe included 704 individuals with a delivery within 12 months of screening. The majority (94%, 661) reported at least one traumatic event, most commonly witnessing violence (79.4%). Overall, 18% experienced gestational hypertension, 10.8% chronic hypertension, and 11.9% preeclampsia. Among individuals who reported trauma, 31.5% screened positive for probable posttraumatic stress disorder and 30.9% for probable depression compared to 0 and 2.3% among those without reported trauma. No trauma type (violence, witnessing violence, non-interpersonal, or sexual assault) was associated with increased hypertensive risk, regardless of timing. Similarly, time between trauma and delivery (0-3 years, 3-10 years, 10+ years) was not associated with increased hypertensive risk.ConclusionsIn this sample with a high trauma and hypertension burden, trauma was not associated with elevated risk of hypertension during pregnancy, despite a high burden of PTSD and depressive symptoms among people with trauma exposure. Future research should consider how community-level exposure may modify the impact of trauma on adverse pregnancy outcomes.

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Section: Discussionmentioning

confidence: 99%

Types and timing of trauma exposure across the life course and maternal hypertension

Stanhope,

Michopoulos,

Powers

et al. 2023

Preprint

View full text Add to dashboard Cite

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“…Gestational diabetes mellitus (GDM) is a condition characterized by the onset of diabetes during pregnancy The International Diabetes Federation (IDF) reports an annual increase in the global prevalence of GDM ( 1 ). GDM development may elevate the risk of metabolic diseases in both mothers and offspring ( 2 , 3 ). During GDM pregnancies, thickening of the basement membrane of trophoblast cells, increased release of inflammatory cytokines by placental macrophages, and edema of the interchorionic layer of the villi result in reduced placental perfusion ( 4 ).…”

Section: Introductionmentioning

confidence: 99%

Predictive value of ultrasonic artificial intelligence in placental characteristics of early pregnancy for gestational diabetes mellitus

Zhou,

Chen,

Chen

et al. 2024

Front. Endocrinol.

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BackgroundTo explore the predictive value of placental features in early pregnancy for gestational diabetes mellitus (GDM) using deep and radiomics-based machine learning (ML) applied to ultrasound imaging (USI), and to develop a nomogram in conjunction with clinical features.MethodsThis retrospective multicenter study included 415 pregnant women at 11-13 weeks of gestation from two institutions: the discovery group from center 1 (n=305, control group n=166, GDM group n=139), and the independent validation cohort (n=110, control group n=57, GDM group n=53) from center 2. The 2D USI underwent pre-processed involving normalization and resampling. Subsequently, the study performed screening of radiomics features with Person correlation and mutual information methods. An RBF-SVM model based on radiomics features was constructed using the five-fold cross-validation method. Resnet-50 as the backbone network was employed to learn the region of interest and constructed a deep convolutional neural network (DLCNN) from scratch learning. Clinical variables were screened using one-way logistic regression, with P<0.05 being the threshold for statistical significance, and included in the construction of the clinical model. Nomogram was built based on ML model, DLCNN and clinical models. The performance of nomogram was assessed by calibration curves, area under the receiver operating characteristic curve (AUC) and decision curve analysis (DCA).ResultsThe AUCs for the ML model in the discovery cohort and independent validation cohort were 0.91 (0.88-0.94) and 0.86 (0.79-0.93), respectively. And 0.65 (0.59-0.71), 0.69 (0.59-0.79) for the DLCNN, 0.66 (0.59-0.72), 0.66 (0.55-0.76) for the clinical model, respectively. The nomogram exhibited the highest performance with AUCs of 0.93 (0.90-0.95) and 0.88 (0.81-0.94) The receiver operating characteristic curve (ROC) proved the superiority of the nomogram of clinical utility, and calibration curve showed the goodness of fit of the model. The DCA curve indicated that the nomogram outperformed other models in terms of net patient benefit.ConclusionsThe study emphasized the intrinsic relationship between early pregnancy placental USI and the development of GDM. The use of nomogram holds potential for clinical applications in predicting the development of GDM.

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Childhood adversity and the risk of gestational diabetes: A population‐based cohort study of nulliparous pregnant women

Cited by 2 publications

References 30 publications

Types and timing of trauma exposure across the life course and maternal hypertension

Types and timing of trauma exposure across the life course and maternal hypertension

Predictive value of ultrasonic artificial intelligence in placental characteristics of early pregnancy for gestational diabetes mellitus

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