Predictors of emergency cesarean section in women with preexisting diabetes

Development and validation of machine learning models for predicting post-cesarean pain and individualized pain management strategies: a multicenter study

BACKGROUND

Effective management of postoperative pain remains a significant challenge in obstetric care due to the variability in pain perception and response influenced by physical, medical, and psychosocial factors. Current standardized pain management protocols often fail to accommodate this variability, necessitating more tailored approaches.

OBJECTIVE

This study aims to improve postoperative pain management following cesarean sections by developing personalized protocols using machine learning (ML) models.

METHOD

The study analyzed the efficacy of eight ML models, including XGBoost, Random Forest, and Neural Networks, using data from two distinct hospital cohorts. Performance metrics such as Root Mean Squared Error (RMSE) and Coefficient of Determination (R²) were evaluated through internal and external validations. SHAP value analysis was used to identify key predictors influencing pain management outcomes.

RESULTS

The XGBoost model demonstrated superior performance, achieving the lowest RMSE and highest R². Key factors impacting pain management included esketamine use, anesthesia method, and anesthetic drug type, with esketamine significantly delaying the first activation of patient-controlled intravenous analgesia (PCIA).

CONCLUSIONS

The study highlights the potential of machine learning to refine postoperative pain management strategies in obstetric care, suggesting that personalized approaches, particularly incorporating esketamine and specific anesthesia methods, could enhance patient outcomes.

TRIAL REGISTRATION

Not applicable.

Pregnancy outcomes in type 2 diabetes: a systematic review and meta-analysis

OBJECTIVE

Type 2 diabetes (T2D) now accounts for the majority of pre-existing diabetes affecting pregnancy in the UK. Our aim was to determine its impact on pregnancy outcomes compared to type 1 diabetes (T1D), gestational diabetes (GDM), and nondiabetes pregnancies.

DATA SOURCES

PubMed was searched 1 January 2009 to 2024.

STUDY ELIGIBILITY CRITERIA

Cohort observational studies reporting original data on at least one of the primary outcomes in ten or more T2D pregnancies were eligible for inclusion. Comparative diabetes and nondiabetes pregnancies were also collected.

METHODS

Primary outcomes included congenital anomalies, stillbirths, neonatal and perinatal mortality, birthweight, rates of large for gestational age (LGA), small for gestational age (SGA), and macrosomia. PROSPERO ID CRD42023411057.

RESULTS

Forty seven studies were analyzed. The number of pregnancies in each analysis varied depending on the available data from the outcome being analyzed but ranged from 723 to 4,469,053 pregnancies. When compared with T1D pregnancies, T2D were more likely to have SGA babies as well as greater neonatal and perinatal mortality (OR 2.29, 95% CI 1.12-4.67; OR 1.53 95% CI 1.20-1.94, and OR 1.31 95% CI 1.07-1.61, respectively). When compared with GDM, T2D were more likely to have babies with congenital anomalies (OR 1.91, 95% CI 1.04-3.50), LGA (OR 3.49, 95% CI 2.49-4.89), neonatal mortality (OR 3.96, 95% CI 3.38-4.64), and stillbirth (OR 16.55, 95% CI 5.69-48.11). In comparison to nondiabetic pregnancy, T2D were more likely to have babies with congenital anomalies (OR 1.76, 95% CI 1.11-2.79), LGA (OR 2.79, 95% CI 1.93-4.04), perinatal mortality (OR 4.18, 95% CI 2.91-6.01), and stillbirth (OR 7.27, 95% CI 3.01-17.53).

CONCLUSION

T2D pregnancies are associated with a greater perinatal mortality than other forms of diabetes in pregnancy. Given its increasing prevenance, greater awareness of the adverse pregnancy outcomes associated with T2D is needed, by both healthcare providers and policy makers, to improve care.

Glucose Control During Labour and Delivery in Type 1 Diabetes - An Update on Current Evidence

PURPOSE OF REVIEW

To provide an update on diabetes management during labour and delivery in women with type 1 diabetes with focus on appropriate insulin administration, carbohydrate supply and use of diabetes technology to support safe delivery and neonatal well-being.

RECENT FINDINGS

During active labour and elective cesarean section capillary blood glucose monitoring or continuous glucose monitoring at least hourly is recommended. Infusion with isotonic (5%) glucose can be given with adjustable infusion rate to address maternal carbohydrate requirements and to prevent maternal hypoglycemia. Subcutaneous insulin administration with multiple injections or insulin pump therapy is considered at least as safe and efficient as intravenous administration to obtain tight glycemic targets. Automated insulin delivery via insulin pump can be continued during labour and delivery. Diabetes management during labour and delivery involves intensive glucose monitoring, adequate insulin administration and carbohydrate administration to support safe delivery and neonatal well-being.

Continuous glucose monitoring vs. self-monitoring in pregnant individuals with type 1 diabetes: an economic analysis

BACKGROUND

In the United States, approximately 1% of pregnancies are complicated by pregestational diabetes. Individuals with type 1 diabetes have an increased risk of adverse maternal and neonatal outcomes. While continuous glucose monitoring has demonstrated benefits for patients with type 1 diabetes, its cost is higher than traditional intermittent fingerstick monitoring, particularly if used only during pregnancy.

OBJECTIVE

To develop an economic analysis model to compare in silico the cost of continuous glucose monitoring and self-monitoring of blood glucose in a cohort of pregnant individuals with type 1 diabetes mellitus.

STUDY DESIGN

We developed an economic analysis model to compare two glucose monitoring strategies in pregnant individuals with type 1 diabetes: continuous glucose monitoring and self-monitoring. The model considered hypertensive disorders of pregnancy, large for gestational age, cesarean delivery, neonatal intensive care unit (NICU) admission, and neonatal hypoglycemia. The primary outcome was the total cost per strategy in 2022 USD from a health system perspective, with self-monitoring as the reference group. Probabilities, relative risks, and costs were extracted from the literature, and the costs were adjusted to 2022 US dollars. Sensitivity analyses were conducted by varying parameters based on the probability, relative risk, and cost distributions. The robustness of the results was tested through 1000 Monte Carlo simulations.

RESULTS

In the base-case analysis, the cost of pregnancy using continuous glucose monitoring was $26,837 compared to $29,039 for self-monitoring, resulting in a cost reduction of $2,202 per individual. The parameters with the greatest effect on the incremental cost included the relative risk of NICU admission, cost of NICU admission, continuous glucose monitoring costs, and usual care costs. Monte Carlo simulations indicated that continuous glucose monitoring was the optimal strategy 98.7% of the time. One-way sensitivity analysis showed that continuous glucose monitoring was more economical if the relative risk of NICU admission with continuous glucose monitoring vs. self-monitoring was below 1.15.

CONCLUSION

Compared to self-monitoring, continuous glucose monitoring is an economical strategy for pregnant individuals with type 1 diabetes mellitus.

Hemoglobin A1c Trajectories During Pregnancy and Adverse Outcomes in Women With Type 2 Diabetes: A Danish National Population-Based Cohort Study

OBJECTIVE

To identify and characterize groups of pregnant women with type 2 diabetes with distinct hemoglobin A1c (HbA1c) trajectories across gestation and to examine the association with adverse obstetric and perinatal outcomes.

RESEARCH DESIGN AND METHODS

This was a retrospective Danish national cohort study including all singleton pregnancies in women with type 2 diabetes, giving birth to a liveborn infant, between 2004 and 2019. HbA1c trajectories were identified using latent class linear mixed-model analysis. Associations with adverse outcomes were examined with logistic regression models.

RESULTS

A total of 1,129 pregnancies were included. Three HbA1c trajectory groups were identified and named according to the glycemic control in early pregnancy (good, 59%; moderate, 32%; and poor, 9%). According to the model, all groups attained an estimated HbA1c <6.5% (48 mmol/mol) during pregnancy, with no differences between groups in the 3rd trimester. Women with poor glycemic control in early pregnancy had lower odds of having an infant with large-for-gestational-age (LGA) birth weight (adjusted odds ratio [aOR] 0.57, 95% CI 0.40-0.83), and higher odds of having an infant with small-for-gestational age (SGA) birth weight (aOR 2.49, 95% CI 2.00-3.10) and congenital malformation (CM) (aOR 4.60 95% CI 3.39-6.26) compared with women with good glycemic control. There was no evidence of a difference in odds of preeclampsia, preterm birth, and caesarean section between groups.

CONCLUSIONS

Women with poor glycemic control in early pregnancy have lower odds of having an infant with LGA birth weight, but higher odds of having an infant with SGA birth weight and CM.

Factors Affecting Mode of Birth in Women With Preexisting Diabetes and Gestational Diabetes: A Retrospective Cohort at a Tertiary Referral Center

Women with preexisting diabetes and gestational diabetes mellitus (GDM) are at higher risk for adverse maternal and neonatal outcomes. However, there is no consensus on a uniform approach regarding mode of birth (MOB) for all forms of diabetes. The aim of the study is to compare MOB in women with preexisting diabetes and GDM and possible factors influencing it. A retrospective cohort study of women with GDM and preexisting diabetes between 2015 and 2021 at a tertiary referral center was conducted. One thousand three hundred eighty-five singleton pregnancies were included. One thousand twenty-two (74.4%) women had a vaginal birth (VB) and 351 (25.6%) a caesarean section. Preexisting diabetes was significantly associated with caesarean section compared to GDM (OR 2.43). Five hundred fifty-one (40.1%) women underwent induction of labor, and 122 (22.1%) women had a secondary caesarean after IOL. Women induced due to spontaneous rupture of membrane (SROM) achieved the highest rate of VB at 93%. The lowest rates of VB occurred if indication for induction was for preeclampsia or hypertension. IOL was significantly less successful in preexisting diabetes with a VB achieved in 56.4% for type 1 diabetes and 52.6% of type 2 diabetes compared to GDM (78.2% in GDM; 81.2% in IGDM; OR 3.25, 95% CI 1.70-6.19, p < 0.001). The rate of VB was higher who were induced preterm compared to women with term IOL (n = 240 (81.9%) vs. n = 199 (73.2%); p < 0.05). Parity, previous VB and SROM favored VB after IOL, whereas preexisting diabetes, hypertension, and IOL after 40 + 0 weeks are independent risk factors for caesarean delivery.

Management of type 2 diabetes in pregnancy: a narrative review

The prevalence of type 2 diabetes (T2DM) at reproductive age is rising. Women with T2DM have a similarly high risk for pregnancy complications as pregnant women with type 1 diabetes. To reduce adverse pregnancy and neonatal outcomes, such as preeclampsia and preterm delivery, a multi-target approach is necessary. Tight glycemic control together with appropriate gestational weight gain, lifestyle measures, and if necessary, antihypertensive treatment and low-dose aspirin is advised. This narrative review discusses the latest evidence on preconception care, management of diabetes-related complications, lifestyle counselling, recommendations on gestational weight gain, pharmacologic treatment and early postpartum management of T2DM.

Predictors of a successful vaginal delivery in women with type 1 diabetes: a retrospective analysis of 20 years

PURPOSE

To evaluate the independent factors associated with the success of a trial of vaginal birth (TVB) in women with type 1 diabetes. Despite all therapeutic efforts and technological innovations, rates of caesarean sections (CS) in pregnant women with type 1 diabetes remain unchanged above 60%. Our aim was to point out influencing factors to improve the quality of antepartum counseling.

METHODS

We performed a retrospective cohort study of 195 pregnancies with type 1 diabetes treated between 2000 and 2019. After exclusions, 118 women with near-term singleton pregnancies intended vaginal birth (TVB). Group differences between CS and successful vaginal delivery were analyzed. Multivariate logistic regression was performed by including clinical and metabolic variables to determine the independent effects on a successful vaginal delivery. Subgroup analysis for nulliparous women.

RESULTS

Of 118 women with TVB, 67 (56.8%) were delivered vaginally. History of previous vaginal delivery (OR 10.29; CI 2.39; 44.30), HbA1c changes during pregnancy (per % increase; OR 0.59; CI 0.36; 0.96) and gestational weight gain (per kg; OR 0.87; CI 0.80; 0.96) were independent predictors for a successful vaginal delivery. In nulliparous women, the duration of diabetes was independently and negatively associated with vaginal delivery.

CONCLUSION

Provided data can help to improve antepartum counseling in type 1 diabetic patients. It seems that women with type 1 diabetes should avoid postponing pregnancy and childbirth.