Association of community walkability and glycemic control among pregnant individuals with pregestational diabetes mellitus.

BACKGROUND: Neighborhood walkability is a community-level social determinant of health that measures whether people who live in a neighborhood walk as a mode of transportation. Whether neighborhood walkability is associated with glycemic control among pregnant individuals with pregestational diabetes remains to be defined. OBJECTIVE: This study aimed to evaluate the association between community-level neighborhood walkability and glycemic control as measured by hemoglobin A1c (A1C) among pregnant individuals with pregestational diabetes. STUDY DESIGN: This was a retrospective analysis of pregnant individuals with pregestational diabetes enrolled in an integrated prenatal and diabetes care program from 2012 to 2016. Participant addresses were geocoded and linked at the census-tract level. The exposure was community walkability, defined by the US Environmental Protection Agency National Walkability Index (score range 1-20), which incorporates intersection density (design), proximity to transit stops (distance), and a mix of employment and household types (diversity). Individuals from neighborhoods that were the most walkable (score, 15.26-20.0) were compared with those from neighborhoods that were less walkable (score <15.26), as defined per national Environmental Protection Agency recommendations. The outcomes were glycemic control, including A1C <6.0% and <6.5%, measured both in early and late pregnancy, and mean change in A1C across pregnancy. Modified Poisson regression and linear regression were used, respectively, and adjusted for maternal age, body mass index at delivery, parity, race and ethnicity as a social determinant of health, insurance status, baseline A1C, gestational age at A1C measurement in early and late pregnancy, and diabetes type. RESULTS: Among 417 pregnant individuals (33% type 1, 67% type 2 diabetes mellitus), 10% were living in the most walkable communities. All 417 individuals underwent A1C assessment in early pregnancy (median gestational age, 9.7 weeks; interquartile range, 7.4-14.1), and 376 underwent another A1C assessment in late pregnancy (median gestational age, 30.4 weeks; interquartile range, 27.8-33.6). Pregnant individuals living in the most walkable communities were more likely to have an A1C <6.0% in early pregnancy (15% vs 8%; adjusted relative risk, 1.46; 95% confidence interval, 1.00-2.16), and an A1C <6.5% in late pregnancy compared with those living in less walkable communities (13% vs 9%; adjusted relative risk, 1.33; 95% confidence interval, 1.08-1.63). For individuals living in the most walkable communities, the median A1C was 7.5 (interquartile range, 6.0-9.4) in early pregnancy and 5.9 (interquartile range, 5.4-6.4) in late pregnancy. For those living in less walkable communities, the median A1C was 7.3 (interquartile range, 6.2-9.2) in early pregnancy and 6.2 (interquartile range, 5.6-7.1) in late pregnancy. Change in A1C across pregnancy was not associated with walkability. CONCLUSION: Pregnant individuals with pregestational diabetes mellitus living in more walkable communities had better glycemic control in both early and late pregnancy. Whether community-level interventions to enhance neighborhood walkability can improve glycemic control in pregnancy requires further study.

Association of community-level food insecurity and glycemic control among pregnant individuals with pregestational diabetes.

AIM: To evaluate whether pregnant individuals with pregestational diabetes who live in a food-insecure community have worse glycemic control compared to those who do not live in a food-insecure community. METHODS: A retrospective analysis of pregnant individuals with pregestational diabetes enrolled in a multidisciplinary prenatal and diabetes care program. The exposure was community-level food insecurity per the Food Access Research Atlas. The outcomes were hemoglobin A1c (A1c) < 6.0 % in early and late pregnancy, and an absolute decrease in A1c ≥ 2.0 % and mean change in A1c across pregnancy. RESULTS: Among 418 assessed pregnant individuals with pregestational diabetes, those living in a food-insecure community were less likely to have an A1c < 6.0 % in early pregnancy compared to those living in a community without food insecurity [16 % vs. 30 %; adjusted risk ratio (aRR): 0.55; 95 % CI: 0.33-0.92]. Individuals living in a food-insecure community were more likely to achieve a decrease in A1c ≥ 2.0 % [35 % vs. 21 %; aRR: 1.55; 95 % CI: 1.06-2.28] and a larger mean decrease in A1c across pregnancy [mean: 1.46 vs. 1.00; adjusted beta: 0.47; 95 % CI: 0.06-0.87)]. CONCLUSIONS: Pregnant individuals with pregestational diabetes who lived in a food-insecure community were less likely to enter pregnancy with glycemic control, but were more likely to have a reduction in A1c and achieve similar A1c status compared to those who lived in a community without food insecurity. Whether interventions that address food insecurity improve glycemic control and consequent perinatal outcomes remains to be studied.

Risk of Adverse Pregnancy Outcomes Among Pregnant Individuals With Gestational Diabetes by Race and Ethnicity in the United States, 2014-2020.

Importance: Gestational diabetes, which increases the risk of adverse pregnancy outcomes, has been increasing in frequency across all racial and ethnic subgroups in the US. Objective: To assess whether the frequency of adverse pregnancy outcomes among those in the US with gestational diabetes changed over time and whether the risk of these outcomes differed by maternal race and ethnicity. Design, Setting, and Participants: Exploratory serial, cross-sectional, descriptive study using US National Center for Health Statistics natality data for 1 560 822 individuals with gestational diabetes aged 15 to 44 years with singleton nonanomalous live births from 2014 to 2020 in the US. Exposures: Year of delivery and race and ethnicity, as reported on the birth certificate, stratified as non-Hispanic American Indian, non-Hispanic Asian/Pacific Islander, non-Hispanic Black, Hispanic/Latina, and non-Hispanic White (reference group). Main Outcomes and Measures: Maternal outcomes of interest included cesarean delivery, primary cesarean delivery, preeclampsia or gestational hypertension, intensive care unit (ICU) admission, and transfusion; neonatal outcomes included large for gestational age (LGA), macrosomia (>4000 g at birth), small for gestational age (SGA), preterm birth, and neonatal ICU (NICU) admission, as measured by the frequency (per 1000 live births) with estimation of mean annual percentage change (APC), disparity ratios, and adjusted risk ratios. Results: Of 1 560 822 included pregnant individuals with gestational diabetes (mean [SD] age, 31 [5.5] years), 1% were American Indian, 13% were Asian/Pacific Islander, 12% were Black, 27% were Hispanic/Latina, and 48% were White. From 2014 to 2020, there was a statistically significant increase in the overall frequency (mean APC per year) of preeclampsia or gestational hypertension (4.2% [95% CI, 3.3% to 5.2%]), transfusion (8.0% [95% CI, 3.8% to 12.4%]), preterm birth at less than 37 weeks (0.9% [95% CI, 0.3% to 1.5%]), and NICU admission (1.0% [95% CI, 0.3% to 1.7%]). There was a significant decrease in cesarean delivery (-1.4% [95% CI, -1.7% to -1.1%]), primary cesarean delivery (-1.2% [95% CI, -1.5% to -0.9%]), LGA (-2.3% [95% CI, -2.8% to -1.8%]), and macrosomia (-4.7% [95% CI, -5.3% to -4.0%]). There was no significant change in maternal ICU admission and SGA. In comparison with White individuals, Black individuals were at significantly increased risk of all assessed outcomes, except LGA and macrosomia; American Indian individuals were at significantly increased risk of all assessed outcomes except cesarean delivery and SGA; and Hispanic/Latina and Asian/Pacific Islander individuals were at significantly increased risk of maternal ICU admission, preterm birth, NICU admission, and SGA. Differences in adverse outcomes by race and ethnicity persisted through these years. Conclusions and Relevance: From 2014 through 2020, the frequency of multiple adverse pregnancy outcomes in the US increased among pregnant individuals with gestational diabetes. Differences in adverse outcomes by race and ethnicity persisted.

Association of change in haemoglobin A1c with adverse perinatal outcomes in women with pregestational diabetes.

AIMS: To determine whether a net decline in glycosylated haemoglobin (HbA1c ) from early to late pregnancy is associated with lower risk of adverse perinatal outcomes at delivery among women with pregestational diabetes. METHODS: A retrospective analysis from 2012 to 2016 at a tertiary care centre. The exposure was the net change in HbA1c from early (<20 weeks gestation) to late pregnancy (≥20 weeks gestation). Primary outcomes were large for gestational age (LGA) and neonatal hypoglycaemia. The association between outcomes per 6 mmol/mol (0.5%) absolute decrease in HbA1c was evaluated using modified Poisson regression, and adjusted for age, body mass index, White Class, early HbA1c and haemoglobin and gestational age at HbA1c measurement and delivery. RESULTS: Among 347 women with pregestational diabetes, HbA1c was assessed in early (9 weeks [IQR 7,13]) and late pregnancy (31 weeks [IQR 29,34]). Mean HbA1c decreased from early (59 mmol/mol [7.5%]) to late (47 mmol/mol [6.5%]) pregnancy. Each 6 mmol/mol (0.5%) absolute decrease in HbA1c was associated with a 12% reduced risk of LGA infant (30%, aRR:0.88; 95% CI:0.81,0.95), and a 7% reduced risk of neonatal hypoglycaemia (35%, aRR:0.93; 95% CI:0.87,0.99). Preterm birth (36%, aRR:0.93; 95% CI:0.89,0.98) and neonatal intensive care unit admission (55%, aRR:0.95; 95% CI:0.91,0.98) decreased with a net decline in HbA1c , but not caesarean delivery, pre-eclampsia, shoulder dystocia and respiratory distress syndrome. CONCLUSIONS: Women with pregestational diabetes with a reduction in HbA1c may have fewer infants born LGA or with neonatal hypoglycaemia. Repeated assessment of HbA1c may provide an additional measure of glycaemic control.

Differences in Hemoglobin A1c during Pregnancy between Non-Hispanic Black versus White Women with Prepregnancy Diabetes.

OBJECTIVE: The objective of this was to determine whether the change in hemoglobin A1c (HbA1c) from early to late pregnancy differs between non-Hispanic Black and White women with prepregnancy diabetes. STUDY DESIGN: A retrospective analysis was performed from an integrated prenatal and diabetes care program from 2012 to 2016. We compared HbA1c as a continuous measure and secondarily, HbA1c <6.5%, cross-sectionally, and longitudinally in early (approximately 10 weeks) and late (approximately 31 weeks) pregnancies. Linear and logistic regression were used and adjusted for age, body mass index, White diabetes class, medication use, diabetes type, gestational age at baseline HbA1c measurement, and baseline hemoglobin. RESULTS: Among 296 non-Hispanic Black (35%) and White pregnant women (65%) with prepregnancy diabetes (39% type 1 and 61% type 2), Black women were more likely to experience increased community-level social determinants of health as measured by the Social Vulnerability Index (SVI) and were less likely to have type 1 diabetes and have more severe diabetes versus White women (p < 0.05). Black women had higher mean HbA1c (7.8 vs. 7.4%; beta: 0.75; 95% confidence interval [CI]: 0.30-1.19) and were less likely to have HbA1c < 6.5% at 10 weeks compared with White women (24 vs. 35%; adjusted odds ratio: 0.45; 95% CI: 0.24-0.81) but not after adjusting for SVI. At 31 weeks, both groups had similar mean HbA1c (both 6.5%) and were equally as likely to have HbA1c < 6.5% (57 vs. 54%). From early to late pregnancy, Black women had a higher percentage decrease in HbA1c (1.3 vs. 0.9%; beta = 0.63; 95% CI: 0.27-0.99) and were equally as likely to have an improvement or stable HbA1C < 6.5% from 10 to 31 weeks, with both groups having a similar mean HbA1c (6.5%) at 31 weeks. CONCLUSION: Despite experiencing greater community-level social determinants of health, Black women with pregestational diabetes had a larger reduction in HbA1c and were able to equally achieve the target of HbA1c < 6.5% by late pregnancy compared with White women as part of an integrated diabetes and prenatal care program. KEY POINTS: · An integrated diabetes and pregnancy care program may decrease racial and ethnic disparities in glycemic control.. · Black women had a larger reduction in HbA1c versus White women.. · Black women were able to equally achieve the target of HbA1c < 6.5% by late pregnancy versus White women..

Glycemic Control and Aspirin Resistance in Patients Taking Low-Dose Aspirin for Pre-eclampsia Prevention.

OBJECTIVES: To assess the association between aspirin and glycemic control in diabetic, pregnant patients, and the risk for aspirin resistance in those with poor glycemic control across gestation taking low-dose aspirin (LDA) for pre-eclampsia (PEC) prevention. STUDY DESIGN: We performed a secondary analysis of samples collected during the Maternal-Fetal Medicine Units trial of LDA for PEC prevention. A subset of insulin-controlled diabetic patient samples on placebo or 60 mg aspirin daily were evaluated. Glycosylated hemoglobin was measured at randomization, mid-second trimester, and third trimester time points. Thromboxane B2 (TXB2) measurements were previously assessed as part of the original study. Primary outcome was the effect of LDA on glycosylated hemoglobin levels compared with placebo across gestation. RESULTS: Levels of glycosylated hemoglobin increased across gestation in the placebo group (2,067.7 [interquartile range, IQR: 1,624.6-2,713.5 µg/mL] vs. 2,461.9 [1,767.0-3,209.9 µg/mL] vs. 3,244.3 [2,691.5-4,187.0 µg/mL]; p < 0.01) compared with no difference in levels of glycosylated hemoglobin across gestation in the LDA group (2,186.4 [IQR: 1,462.3-3,097.7 µg/mL] vs. 2,337.1 [1,327.7-5,932.6 µg/mL] vs. 2,532.9 [1,804.9-5,511.8 µg/mL]; p = 0.78). Higher levels of glycosylated hemoglobin were associated with increased TXB2 levels prior to randomization (r = 0.67, p < 0.05). Incomplete TXB2 was higher in pregnancies with increasing levels of glycosylated hemoglobin compared with those with decreasing levels of glycosylated hemoglobin across gestation (69.2 vs. 18.1%, p = 0.02). CONCLUSION: LDA exposure may be beneficial to glycemic control in this patient population. Additionally, poor glycemic control is associated with a higher level of TXB2 in diabetic pregnant patients on LDA. Higher doses of aspirin may be required in these patients to prevent development of PEC. KEY POINTS: · Low-dose aspirin may improve glycemic control.. · Poor glycemic control increases risk for aspirin resistance.. · Higher doses of aspirin may be required for pre-eclampsia prevention..

Predictive Models for Very Preterm Birth: Developing a Point-of-Care Tool.

OBJECTIVE: The objective of this study was to create three point-of-care predictive models for very preterm birth using variables available at three different time points: prior to pregnancy, at the end of the first trimester, and mid-pregnancy. STUDY DESIGN: This is a retrospective cohort study of 359,396 Ohio Medicaid mothers from 2008 to 2015. The last baby for each mother was included in the final dataset. Births prior to 22 weeks were excluded. Multivariable logistic regression was used to create three models. These models were validated on a cohort that was set aside and not part of the model development. The main outcome measure was birth prior to 32 weeks. RESULTS: The final dataset contained 359,396 live births with 6,516 (1.81%) very preterm births. All models had excellent calibration. Goodness-of-fit tests suggested strong agreement between the probabilities estimated by the model and the actual outcome experience in the data. The mid-pregnancy model had acceptable discrimination with an area under the receiver operator characteristic curve of approximately 0.75 in both the developmental and validation datasets. CONCLUSION: Using data from a large Ohio Medicaid cohort we developed point-of-care predictive models that could be used before pregnancy, after the first trimester, and in mid-pregnancy to estimate the probability of very preterm birth. Future work is needed to determine how the calculator could be used to target interventions to prevent very preterm birth. KEY POINTS: · We developed predictive models for very preterm birth.. · All models showed excellent calibration.. · The models were integrated into a risk calculator..

The Association of Moms2B, a Community-Based Interdisciplinary Intervention Program, and Pregnancy and Infant Outcomes among Women Residing in Neighborhoods with a High Rate of Infant Mortality.

OBJECTIVES: We evaluated the effectiveness of Moms2B, a community-based group pregnancy and parenting program, in an effort to assess whether the program improved pregnancy and infant outcomes. METHODS: We conducted a retrospective matched exposure cohort study comparing women exposed to the Moms2B program during pregnancy (two or more prenatal visits) who delivered a singleton live birth or stillbirth (≥ 20 weeks gestation) from 2011-2017 to a closely matched group of women not exposed to the program. Primary outcomes were preterm birth and low birth weight. Propensity score methods were used to provide strong control for confounders. RESULTS: The final analytic file comprised 675 exposed pregnancies and a propensity score-matched group of 1336 unexposed pregnancies. Most of the women were non-Hispanic Black. We found evidence of better outcomes among pregnancies exposed to Moms2B versus unexposed pregnancies, particularly for the primary outcome of low birth weight [9.45% versus 12.00%, respectively, risk difference (RD) = -2.55, 95% confidence interval (CI) = (-5.44, 0.34)]. Point estimates for all adverse pregnancy outcomes uniformly favored exposure to Moms2B. CONCLUSIONS FOR PRACTICE: Our findings suggest that participation in the Moms2B program improves pregnancy and infant outcomes. The program offers an innovative group model of pregnancy and parenting support for women, especially in non-Hispanic Black women with high-risk pregnancies.

Moms in motion: weight loss intervention for postpartum mothers after gestational diabetes: a randomized controlled trial.

BACKGROUND: Up to 50 % of women with gestational diabetes mellitus (GDM) will receive a diagnosis of type 2 diabetes mellitus (T2DM) within a decade after pregnancy. While excess postpartum weight retention exacerbates T2DM risk, lifestyle changes and behavior modifications can promote healthy postpartum weight loss and contribute to T2DM prevention efforts. However, some women have difficulty prioritizing self-care during this life stage. Efficacious interventions that women can balance with motherhood to reduce T2DM risk remain a goal. The objective of the Moms in Motion study is to evaluate the efficacy of a simple, novel, activity-boosting intervention using ankle weights worn with daily activities during a 6-month postpartum intervention among women with GDM. We hypothesize that women randomized to the 6-month intensity-modifying intervention will (1) demonstrate greater weight loss and (2) greater improvement in body composition and biomarker profile versus controls. METHODS: This study will be a parallel two-arm randomized controlled trial (n = 160). Women will be allocated 1:1 to an ankle weight intervention group or a standard-of-care control group. The intervention uses ankle weights (1.1 kg) worn on each ankle during routine daily activities (e.g., cleaning, childcare). Primary outcomes include pre- and post-assessments of weight from Visit 2 to Visit 3. Secondary outcomes include body composition, glycemia (2-h, 75 g oral glucose tolerance test), and fasting insulin. Exploratory outcomes include energy expenditure, diet, and psychosocial well-being. DISCUSSION: Beyond the expected significance of this study in its direct health impacts from weight loss, it will contribute to exploring (1) the mechanism(s) by which the intervention is successful (mediating effects of energy expenditure and diet on weight loss) and (2) the effects of the intervention on body composition and biomarkers associated with insulin resistance and metabolic health. Additionally, we expect the findings to be meaningful regarding the intervention's effectiveness on engaging women with GDM in the postpartum period to reduce T2DM risk. TRIAL REGISTRATION: The ClinicalTrials.gov Identifier, is NCT03664089 . The trial registration date is September 10, 2018. The trial sponsor is Dr. Sarah A. Keim.

The use of longitudinal hemoglobin A1c values to predict adverse obstetric and neonatal outcomes in pregnancies complicated by pregestational diabetes.

BACKGROUND: Although an elevated early pregnancy hemoglobin A1c has been associated with both spontaneous abortion and congenital anomalies, it is unclear whether A1c assessment is of value beyond the first trimester in pregnancies complicated by pregestational diabetes. OBJECTIVE: We sought to investigate the prognostic ability of longitudinal A1c assessment to predict obstetric and neonatal adverse outcomes based on degree of glycemic control in early and late pregnancy. MATERIALS AND METHODS: This was a retrospective cohort study of all pregnancies complicated by pregestational diabetes from January 2012 to December 2016 at The Ohio State University Wexner Medical Center with both an early A1c (<20 weeks' gestation) and late A1c (>26 weeks' gestation) available for analysis. Patients were categorized by good (early and late A1c <6.5%), improved (early A1c >6.5% and late A1c <6.5%) and poor (late A1c >6.5%) glycemic control. A multivariate regression model was used to calculate adjusted odds ratios (aOR) for each identified obstetric and neonatal outcome, controlling for maternal age, body mass index, race/ethnicity, type of diabetes, and gestational age at delivery compared to good control as the referent group. RESULTS: A total of 341 patients met inclusion criteria during the study period. The median A1c values improved from early to late gestation in the good (5.7% [interquartile range [IQR], 5.4-6.1%] versus 5.4%; [IQR 5.2-5.7%]), improved (7.5% [IQR, 6.7-8.5] versus 5.9% [IQR, 5.6-6.1%]) and poor (8.3% [IQR, 7.1-9.6%] versus 7.3% [IQR, 6.8-7.9%]) glycemic control groups. There were no statistically significant differences in the rate of adverse outcomes between the good and improved groups except for an increased rate of neonatal intensive care unit admissions in the improved group (aOR, 3.7; confidence interval [CI], 1.9-7.3). In contrast, the poor control group had an increased rate of shoulder dystocia (aOR, 6.8; CI, 1.4-34.0), preterm delivery (aOR, 3.9; CI, 2.1-7.3), neonatal intensive care unit admission (aOR, 2.8; CI, 1.4-5.3), respiratory distress syndrome (aOR, 3.0; CI, 1.1-8.0), hypoglycemia (aOR, 3.2; CI, 1.5-6.9), large for gestational age weight at birth (aOR, 2.7; CI, 1.5-4.9), neonatal length of stay >4 days (aOR, 3.1; CI, 1.6-6.0) and preeclampsia (aOR, 2.4; CI, 1.2-4.6). There were no differences in rates of cesarean delivery, umbilical artery pH <7.1, or Apgar score <7 at 5 minutes after regression analysis. CONCLUSION: Antenatal hemoglobin A1c values are useful for objective risk stratification of patients with pregestational diabetes. Strict glycemic control throughout pregnancy with a late pregnancy A1c target of <6.5% leads to reduced rates of obstetric and neonatal adverse outcomes independent of early pregnancy glucose control.

Practical considerations for pregnant women with diabetes and severe acute respiratory syndrome coronavirus 2 infection.

Epidemiologic data available so far suggest that individuals with diabetes, especially when not well controlled, are at a greater risk than the general population for severe acute respiratory syndrome coronavirus 2 morbidity such as acute respiratory distress syndrome, multiorgan failure, and mortality. Given the significant correlation between severity of coronavirus disease 2019 and diabetes mellitus and the lack of pregnancy-specific recommendations, we aim to provide some guidance and practical recommendations for the management of diabetes in pregnant women during the pandemic, especially for general obstetricians-gynecologists and nonobstetricians taking care of these patients.

The Accuracy and Cost-Effectiveness of Selective Fetal Echocardiography for the Diagnosis of Congenital Heart Disease in Patients with Pregestational Diabetes Stratified by Hemoglobin A1c.

OBJECTIVE: To evaluate the accuracy of antenatal diagnosis of congenital heart disease (CHD) using screening methods including a combination of elevated hemoglobin A1c, detailed anatomy ultrasound, and fetal echocardiography. STUDY DESIGN: This is a retrospective cohort study of all pregnancies complicated by pregestational diabetes from January 2012 to December 2016. The sensitivity, specificity, positive predictive value, and negative predictive value were calculated for each screening regimen. The incremental cost-effectiveness ratio (ICER) was calculated for each regimen with effectiveness defined as additional CHD diagnosed. RESULTS: A total of 378 patients met inclusion criteria with an overall prevalence of CHD of 4.0% (n = 15). When compared with a detailed ultrasound, fetal echocardiography had a higher sensitivity (73.3 vs. 40.0%). However, all cases of major CHD were detected by detailed ultrasound (n = 6). Using an elevated early A1c > 7.7% and a detailed ultrasound resulted in a sensitivity and specificity of 60.0 and 99.4%, respectively. The use of selective fetal echocardiography for an A1c > 7.7% or abnormal detailed anatomy ultrasound would result in a 63.3% reduction in cost per each additional minor CHD diagnosed (ICER: $18,290.52 vs. $28,875.67). CONCLUSION: Fetal echocardiography appears to have limited diagnostic value in women with pregestational diabetes. However, these results may not be generalizable outside of a high-volume academic setting.

Changes in the burnout profile of chairs of academic departments of obstetrics and gynecology over the past 15 years.

BACKGROUND: While many studies have documented the high prevalence of burnout in practicing physicians and medical trainees, fewer reports describe burnout in academic leaders. In 2002, we observed a moderate-high to high level of burnout in 41.4% of chairs of academic departments of obstetrics and gynecology. OBJECTIVE: The purpose of this study was to identify trends in burnout and associated factors in today's obstetrics and gynecology chairs as they face complex changes to the current health care environment. STUDY DESIGN: This was a cross-sectional study. A survey was developed based on the questionnaire used in our first investigation and sent electronically to all members of the Council of University Chairs of Obstetrics and Gynecology. Burnout was measured using an abbreviated Maslach Burnout Inventory-Human Sciences Survey. In addition to demographic data, we assessed perceived stressors, job satisfaction, spousal/partner support, self-efficacy, depression, suicidal ideation, and stress management. RESULTS: The response rate was 60% (84/139). Almost 30% of chairs were women, increased from 7.6% in 2002. Hospital and department budget deficits and loss of key faculty remain major stressors noted by participants. The Maslach Burnout Inventory results have changed dramatically over the past 15 years. Today's chairs demonstrated less burnout but with an "ineffective" profile. Subscale scores for emotional exhaustion and depersonalization were reduced but >50% reported low personal accomplishment. Spousal support remained important in preventing burnout. CONCLUSION: Chairs of academic departments of obstetrics and gynecology continue to face significant job-related stress. Burnout has decreased; however, personal accomplishment scores have also declined most likely due to administrative factors that are beyond the chairs' perceived control.

Commentary: a ray of hope for medical school research funding.

Academic health centers are traditionally dependent on extramural agencies like the National Institutes of Health to fund medical research. The still-struggling U.S. economy has kept federal paylines stagnant in recent years even as research costs climb. Academic health center leaders need to find new funding sources to ensure that critical medical research continues. Myers and colleagues, in their report in this issue of Academic Medicine, found that scientific research funding by philanthropic nonprofit organizations rose 26% from 2006 to 2008. Even though the time frame for their study precedes the recent economic recession, their findings provide hope and guidance to academic health centers. Stable research portfolios should include a variety of sources, and Myers and colleagues suggest that partnership opportunities exist between federal and not-for-profit funding sources to focus on key disease areas. Seeking broader research funding may benefit at-risk groups like junior investigators, as the average age of a first-time NIH grant recipient in 2008 was 42 years old. To foster the new discoveries and ideas that come from young scientists, academic health centers need to diversify their research funding sources.It is encouraging that high-visibility philanthropic organizations enhanced funding by 26% from 2006 to 2008. However, between 2008 and 2010, overall grant support from foundations declined 2.3%. Should federal and private funding continue to fall, there is an eminent threat of losing a generation of investigators. Thus, creative solutions and partnerships are needed to fund more high-priority research to cure disease and create the future of medicine.

The diagnosis of gestational diabetes mellitus: new paradigms or status quo?

The Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study showed significant perinatal risks at levels of maternal hyperglycemia below values that are diagnostic for diabetes. A Consensus Panel of the International Association of Diabetes and Pregnancy Study Groups (IADPSG) reviewed HAPO Study results and other work that examined associations of maternal glycemia with perinatal and long-term outcomes in offspring and published recommendations for diagnosis and classification of hyperglycemia in pregnancy in 2010. Subsequently, some commentaries and debate challenged the IADPSG recommendations. In this review, we provide details regarding some points that were considered by the IADPSG Consensus Panel but not published and address the following issues: 1) what should be the frequency of gestational diabetes mellitus (GDM); 2) were appropriate outcomes and odds ratios used to define diagnostic thresholds for GDM; 3) to improve perinatal outcome, should the focus be on GDM, obesity, or both; 4) should results of randomized controlled trials of treatment of mild GDM influence recommendations for diagnostic thresholds; and, 5) other issues related to diagnosis of GDM. Other groups are independently considering strategies for the diagnosis of GDM. However, after careful consideration of these issues, we affirm our support for the recommendations of the IADPSG Consensus Panel.

Impact of smoking during pregnancy on functional coagulation testing.

Compounds that are systemically absorbed during the course of cigarette smoking, and their metabolites, affect the coagulation system and cause endothelial dysfunction, dyslipidemia, and platelet activation leading to a prothrombotic state. In addition, smoking increases the activity of fibrinogen, homocysteine, and C-reactive protein. We hypothesize that smoking may affect functional coagulation testing during pregnancy. A secondary analysis of 371 women pregnant with a singleton pregnancy and enrolled in a multicenter, prospective observational study of complications of factor V Leiden mutation subsequently underwent functional coagulation testing for antithrombin III, protein C antigen and activity, and protein S antigen and activity. Smoking was assessed by self-report at time of enrollment (<14 weeks). None of the functional coagulation testing results was altered by maternal smoking during pregnancy. Smoking does not affect the aforementioned functional coagulation testing results during pregnancy.