Association of Prepregnancy Body Mass Index With Risk of Severe Maternal Morbidity and Mortality Among Medicaid Beneficiaries

Pregnancy following assisted reproductive technology in morbidly obese patients: assessment of feto-maternal outcomes

PURPOSE

To examine feto-maternal characteristics and outcomes of morbidly obese pregnant patients who conceived with assisted reproductive technology (ART).

METHODS

This cross-sectional study queried the Healthcare Cost and Utilization Project's National Inpatient Sample. Study population was 48,365 patients with ART pregnancy from January 2012 to September 2015, including non-obesity (n = 45,125, 93.3%), class I-II obesity (n = 2445, 5.1%), and class III obesity (n = 795, 1.6%). Severe maternal morbidity at delivery per the Centers for Disease and Control Prevention definition was assessed with multivariable binary logistic regression model.

RESULTS

Patients in the class III obesity group were more likely to have a hypertensive disorder (adjusted-odds ratio (aOR) 3.03, 95% confidence interval (CI) 2.61-3.52), diabetes mellitus (aOR 3.08, 95%CI 2.64-3.60), large for gestational age neonate (aOR 3.57, 95%CI 2.77-4.60), and intrauterine fetal demise (aOR 2.03, 95%CI 1.05-3.94) compared to those in the non-obesity group. Increased risks of hypertensive disease (aOR 1.35, 95%CI 1.14-1.60) and diabetes mellitus (aOR 1.39, 95%CI 1.17-1.66) in the class III obesity group remained robust even compared to the class I-II obesity group. After controlling for priori selected clinical, pregnancy, and delivery factors, patients with class III obesity were 70% more likely to have severe maternal morbidity at delivery compared to non-obese patients (8.2% vs 4.4%, aOR 1.70, 95%CI 1.30-2.22) whereas those with class I-II obesity were not (4.1% vs 4.4%, aOR 0.87, 95%CI 0.70-1.08).

CONCLUSIONS

The results of this national-level analysis in the United States suggested that morbidly obese pregnant patients conceived with ART have increased risks of adverse fetal and maternal outcomes.

A Prediction Model for Severe Maternal Morbidity and Mortality After Delivery Hospitalization

OBJECTIVE

To develop a risk stratification model for severe maternal morbidity (SMM) or mortality after the delivery hospitalization based on information available at the time of hospital discharge.

METHODS

This population-based cohort study included all pregnancies among Ohio residents with Medicaid insurance from 2012 to 2017. Pregnant individuals were identified using linked live birth and fetal death records and Medicaid claims data. Inclusion was restricted to those with continuous postpartum Medicaid enrollment and delivery at 20 or more weeks of gestation. The primary outcome of the study was SMM or mortality after the delivery hospitalization and was assessed up to 42 days postpartum and up to 1 year postpartum separately. Variables considered for the model included patient-, obstetric health care professional-, and system-level data available in vital records or Medicaid claims data. Parsimonious models were created with logistic regression and were internally validated. Receiver operating characteristic curves were used to evaluate model performance, and model calibration was assessed.

RESULTS

There were 343,842 pregnant individuals who met inclusion criteria with continuous Medicaid enrollment through 42 days postpartum and 287,513 with continuous enrollment through 1 year. After delivery hospitalization discharge, the incidence of SMM or mortality was 140.5 per 10,000 pregnancies through 42 days of delivery and 330.7 per 10,000 pregnancies through 1 year postpartum. The final model predicting SMM or mortality through 42 days postpartum included maternal prepregnancy body mass index, age, gestational age at delivery, mode of delivery, chorioamnionitis, and maternal diagnosis of cardiac disease, preeclampsia or gestational hypertension, or a mental health condition. Similar variables were included in the model predicting SMM or mortality through 365 days with chronic hypertension, pregestational diabetes, and illicit substance use added and chorioamnionitis removed. Both models demonstrated moderate prediction (area under the curve [AUC] 0.77, 95% CI 0.76-0.78 for 42-day model; AUC 0.72, 95% CI 0.71-0.73 for the 1-year model) and good calibration.

CONCLUSION

A prediction model for SMM or mortality up to 1 year postpartum was created and internally validated with information available to health care professionals at the time of hospital discharge. The utility of this model for patient counseling and strategies to optimize postpartum care for high-risk individuals will require further evaluation.

Electronic Monitoring of Mom's Schedule (eMOMSTM): A Qualitative Study of Experiences in a Lifestyle Change Program with Lactation Support

PURPOSE

To elicit feedback from participants who completed the eMOMSTM study, a feasibility randomized controlled trial (NCT04021602), on their perceptions of program strengths and weaknesses.

STUDY DESIGN

Qualitative - Semi-structured, telephone interview guide using open-ended questions.

SETTING

Rural Great Plains state, United States.

PARTICIPANTS

Of 26 individuals who completed the eMOMSTM study, 24 consented to an interview.

METHOD

Interviews were completed between October 2020 and May 2021. Audio-recordings were transcribed verbatim and organized in Microsoft 365. Data were analyzed using an exploratory, inductive thematic analysis.

RESULTS

Participants' mean age was 27.5 (± 5.4) years and mean pre-pregnancy BMI was 29.5 kg/m2 (± 2.7). The majority (71%) were non-Hispanic White and 54% had a high school education/some college. Based on specific areas of inquiry, the following themes emerged: convenience of online program access using Facebook, importance of health coach's support and online interaction, positivity toward improving one's health, increased consciousness of health behaviors, diverse lactation educational needs, importance of educational materials on depression, and grief over the loss of birth expectations during COVID-19.

CONCLUSION

Findings suggest participants' perceived value of a lifestyle change program coupled with lactation education and support delivered using social media. Findings inform future studies to further adapt lifestyle change programs.

Oral Contraceptive Pills and Hypertension: A Review of Current Evidence and Recommendations

Oral contraceptive pills (OCPs) have been used as effective and popular forms of contraception since the middle of the last century. By 2019, over 150 million reproductive-aged individuals were using OCPs to prevent unintended pregnancies worldwide. Safety concerns regarding the effects of OCPs on blood pressure were reported soon after these pills gained approval. Although OCP doses were subsequently reduced, epidemiologic evidence continued to support a smaller, but significant association between OCPs and hypertension. Given the rising prevalence of hypertension, as well as the adverse effects of cumulative exposure to blood pressure elevations on cardiovascular disease risk, understanding the nature of the association between OCPs and hypertension is important for clinicians and patients to assess the risks and benefits of use, and make individualized decisions regarding contraception. Therefore, this review summarizes the current and historical evidence describing the association between OCP use and blood pressure elevations. Specifically, it identifies the pathophysiologic mechanisms linking OCPs to hypertension risk, describes the magnitude of the association between OCPs and blood pressure elevations, and distinguishes the effects of various OCP types on blood pressure. Finally, it describes current recommendations regarding hypertension and OCP use, as well as identifies strategies, such as over-the-counter OCP prescribing, to safely and equitably improve access to oral contraception.

COVID-19 in Pregnancy: Influence of Body Weight and Nutritional Status on Maternal and Pregnancy Outcomes-A Review of Literature and Meta-Analysis

In the last two and a half years, COVID-19 has been one of the most challenging public health issues worldwide. Based on the available evidence, pregnant women do not appear to be more susceptible to infection than the general population but having COVID-19 during pregnancy may increase the risk of major complications for both the mother and the fetus. The aim of this study is to identify the correlation between BMI and nutritional status and the likelihood of contracting COVID-19 infection in pregnancy, its severity, and maternal pregnancy outcomes. We carry out a systematic literature search and a meta-analysis using three databases following the guidelines of the Cochrane Collaboration. We include 45 studies about COVID-19-positive pregnant women. Compared with normal-weight pregnant women with COVID-19, obesity is associated with a more severe infection (OR = 2.32 [1.65-3.25]), increased maternal death (OR = 2.84 [2.01-4.02]), and a higher rate of hospital admission (OR = 2.11 [1.37-3.26]). Obesity may be associated with adverse maternal and pregnancy outcomes by increasing symptom severity and, consequently, hospital and Intensive Care Unit (ICU) admission, and, finally, death rates. For micronutrients, the results are less definite, even if there seems to be a lower level of micronutrients, in particular Vitamin D, in COVID-19-positive pregnant women.