Jane Hitti

Effects of Lipopolysaccharide and Progesterone Exposures on Embryonic Cerebral Cortex Development in Mice

Our objective was to determine if progesterone pretreatment could ameliorate the detrimental effects of lipopolysaccharide (LPS)-induced inflammation on cortical neurogenesis. Timed pregnant mouse dams (n = 8) were given intraperitoneal injections of progesterone (42 mg/kg) or vehicle on embryonic day 17.5. Two hours later, mice were given intraperitoneal LPS (140 μg/kg) or vehicle. Mice were sacrificed 16 hours later on embryonic day 18. Two-color immunofluorescence was performed with primary antibodies T-box transcription factor 2 (Tbr2), ionized calcium binding adapter molecule 1 (Iba1), cleaved caspase 3 (CC3), and 5-bromo-2′-deoxyuridine (BrdU). Cells were counted, and statistical analysis was determined using analysis of variance and Tukey-Kramer method. The Tbr2 intermediate neural progenitor cell density decreased after LPS exposure (P = .0022). Pre-exposure to progesterone statistically increased Tbr2 intermediate neural progenitors compared to LPS treatment alone and was similar to controls (P = .0022). After LPS exposure, microglia displayed an activated phenotype, and cell density was increased (P < .001). Cell death rates were low among study groups but was increased in LPS exposure groups compared to progesterone alone (P = .0015). Lipopolysaccharide-induced systemic inflammation reduces prenatal neurogenesis in mice. Pre-exposure with progesterone is associated with increased neurogenesis. Progesterone may protect the preterm brain from defects of neurogenesis induced by inflammation.

Group B streptococcus infection in pregnancy: an update

Group B streptococcus (GBS), or Streptococcus agalactiae , has been a continuing focus of debate in the paediatric and obstetric worlds. The organism has emerged as the leading cause of early-onset neonatal sepsis. With an average of 20% of mothers being carriers for the organism (range from 15–40%), the following questions remain to be answered: 1 How best to screen for GBS and which protocol to use? 2 How best to counsel patients who are GBS carriers? 3 What is the cost effectiveness of the screening protocols?

Effect of severity of illness on cesarean delivery rates in Washington State

BACKGROUND: Hospitals and providers are increasingly held accountable for their cesarean delivery rates. In the perinatal quality improvement arena, there is vigorous debate about whether all hospitals can be held to the same benchmark for an acceptable cesarean rate regardless of patient acuity. However, the causes of variation in hospital cesarean delivery rates are not well understood. OBJECTIVE: We sought to evaluate the association and temporal trends between severity of illness at admission and the primary term singleton vertex cesarean delivery rate among hospitals in Washington State. We hypothesized that hospitals with higher patient acuity would have higher cesarean delivery rates and that this pattern would persist over time. STUDY DESIGN: In this cross‐sectional analysis, we analyzed aggregate hospital‐level data for all nonmilitary hospitals in Washington State with ≥100 deliveries/y during federal fiscal years 2010 through 2014 (287,031 deliveries). Data were obtained from the Washington State Comprehensive Hospital Abstract Reporting System, which includes inpatient demographic, diagnosis, procedure, and discharge information derived from hospital billing systems. Age, admission diagnoses and procedure codes were converted to patient‐level admission severity‐of‐illness scores using the All Patient Refined Diagnosis Related Groups classification system. This system is widely used throughout the United States to adjust hospital data for severity of illness. Mean admission hospital‐level severity‐of‐illness scores were calculated for each fiscal year among the term singleton vertex population with no history of cesarean delivery. We used linear regression to evaluate the association between hospital admission severity of illness and the primary term singleton vertex cesarean delivery rate, calculated Pearson correlation coefficients, and compared regression line slopes and 95% confidence intervals for each fiscal year. RESULTS: Hospitals were diverse with respect to delivery volume, level of care, and geographic location within Washington. Hospital aggregate admission severity‐of‐illness score correlated with primary term singleton vertex cesarean delivery rate in all fiscal years (R2 0.38‐0.58, P < .001). For every year in the study interval, as admission severity of illness increased so did the primary term singleton vertex cesarean rate. The slope of the regression line decreased during the study interval, suggesting that statewide decrease in primary term singleton vertex cesarean rate occurred across the range of severity of illness. CONCLUSION: Admission severity‐of‐illness score is strongly associated with the primary term singleton vertex cesarean delivery rate among hospitals in Washington State. Approximately 50% of variation in hospital primary term singleton vertex cesarean delivery rates appeared to be related to admission severity of illness. This relationship persisted over time despite a statewide decrease in cesarean delivery, suggesting that patient acuity will likely continue to contribute to hospital variation in cesarean delivery rates despite perinatal quality improvement efforts. The major implication of this study is that patient acuity should be considered when determining optimal cesarean delivery rates. High‐acuity hospitals are likely to have high cesarean rates because they provide a specific role in serving regional needs. To hold these centers to an arbitrary benchmark may jeopardize the funding necessary to support regional safety net institutions.

Contribution of hypertension to severe maternal morbidity

BACKGROUND: Maternal mortality and severe maternal morbidity are growing public health concerns in the United States. The Centers for Disease Control and Prevention Severe Maternal Morbidity measure provides insight into processes underlying maternal mortality and may highlight modifiable risk factors for adverse maternal health outcomes. OBJECTIVE: The primary objective of this study was to evaluate the association between hypertensive disorders and severe maternal morbidity at a regional perinatal referral center. We hypothesized that women with preeclampsia with severe features would have a higher rate of severe maternal morbidity compared to normotensive women. We also assessed the proportion of severe maternal morbidity diagnoses that were present on admission, in contrast to those arising during the delivery hospitalization. STUDY DESIGN: In this retrospective cross‐sectional analysis, we assessed rates of severe maternal morbidity diagnoses (eg, renal insufficiency, shock, and sepsis) and procedures (eg, transfusion and hysterectomy) for all 7025 women who delivered at the University of Washington Medical Center from Oct. 1, 2013, through May 31, 2017. Severe maternal morbidity was determined from prespecified International Classification of Diseases diagnosis and procedure codes; all diagnoses were confirmed by chart review. Present‐on‐admission rates were calculated for each diagnosis through hospital administrative data provided by the Vizient University Health System Consortium. Maternal demographic and clinical characteristics were compared for women with and without severe maternal morbidity. The χ2 and Fisher exact tests were used to determine statistical significance. Odds ratios and 95% confidence intervals were calculated for the associations between maternal demographic and clinical characteristics and severe maternal morbidity. RESULTS: Of 7025 deliveries, 284 (4%) had severe maternal morbidity; 154 had transfusion only, 27 had other procedures, and 103 women had 149 severe maternal morbidity diagnoses (26 women had multiple diagnoses). Severe preeclampsia occurred in 438 deliveries (6.2%). Notably, hypertension was associated with severe maternal morbidity in a dose‐dependent fashion, with the strongest association observed for preeclampsia with severe features (odds ratio, 5.4; 95% confidence interval, 3.9–7.3). Severe maternal morbidity was also significantly associated with preeclampsia without severe features, chronic hypertension, preterm delivery, pregestational diabetes, and multiple gestation. Among women with severe maternal morbidity, over one third of preterm births were associated with maternal hypertension. American Indian/Alaskan Native women had significantly higher severe maternal morbidity rates compared to other racial/ethnic groups (11.7% vs 3.9% for Whites, P < .01). Overall, 39.6% of severe maternal morbidity diagnoses were present on admission. CONCLUSION: Hypertensive disorders in pregnancy are strongly associated with severe maternal morbidity in a dose‐dependent relationship, suggesting that strategies to address rising maternal morbidity rates should include early recognition and management of hypertension. Prevention strategies focused on hypertension might also impact medically indicated preterm deliveries. The finding of increased severe maternal morbidity among American Indian/Alaskan Native women, a disadvantaged population in Washington State, underscores the role that socioeconomic factors may play in adverse maternal health outcomes. As 39% of severe maternal morbidity diagnoses were present on admission, this measure should be risk‐adjusted if used as a quality metric for comparison between hospitals.