Browsing by Author "Heine, R Phillips"

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Open Access
Acute infectious morbidity in multiple gestation.
(Infect Dis Obstet Gynecol, 2015) Dotters-Katz, Sarah K; Patel, Emily; Grotegut, Chad A; Heine, R Phillips
OBJECTIVES: Physiologic and immunologic changes in pregnancy result in increased susceptibility to infection. These shifts are more pronounced in pregnancies complicated by multiple gestation. The objective of this study was to determine the association between multiple gestation and risk of infectious morbidity. STUDY DESIGN: The Nationwide Inpatient Sample for the years 2008-2010 was used to identify pregnant women during admission for delivery with International Classification of Diseases codes. Logistic regression was used to compute odds ratios and 95% confidence intervals for demographic data, preexisting medical conditions, and acute medical and infectious complications for women with multiple versus singleton gestations. RESULTS: Among women with multiple gestation, 38.4 per 1,000 women had an infectious complication compared to 12.8 per 1,000 women with singletons. The most significant infectious morbidity associated with multiple gestation was intestinal infections, pyelonephritis, influenza, and pneumonia. After controlling for confounding variables, infectious complications at delivery persisted for women with multiples, though the association was dependent on mode of delivery. CONCLUSIONS: Women with multiple gestations are at increased risk for infectious morbidity identified at the time of delivery. This association was diminished among women who had a cesarean suggesting that operative delivery is not responsible for this association.
Open Access
Are prediction models for vaginal birth after cesarean accurate?
(American journal of obstetrics and gynecology, 2019-05) Harris, Benjamin S; Heine, R Phillips; Park, Jinyoung; Faurot, Keturah R; Hopkins, Maeve K; Rivara, Andrew J; Kemeny, Hanna R; Grotegut, Chad A; Jelovsek, J Eric
BACKGROUND:The use of trial of labor after cesarean delivery calculators in the prediction of successful vaginal birth after cesarean delivery gives physicians an evidence-based tool to assist with patient counseling and risk stratification. Before deployment of prediction models for routine care at an institutional level, it is recommended to test their performance initially in the institution's target population. This allows the institution to understand not only the overall accuracy of the model for the intended population but also to comprehend where the accuracy of the model is most limited when predicting across the range of predictions (calibration). OBJECTIVE:The purpose of this study was to compare 3 models that predict successful vaginal birth after cesarean delivery with the use of a single tertiary referral cohort before continuous model deployment in the electronic medical record. STUDY DESIGN:All cesarean births for failed trial of labor after cesarean delivery and successful vaginal birth after cesarean delivery at an academic health system between May 2013 and March 2016 were reviewed. Women with a history of 1 previous cesarean birth who underwent a trial of labor with a term (≥37 weeks gestation), cephalic, and singleton gestation were included. Women with antepartum intrauterine fetal death or fetal anomalies were excluded. The probability of successful vaginal birth after cesarean delivery was calculated with the use of 3 prediction models: Grobman 2007, Grobman 2009, and Metz 2013 and compared with actual vaginal birth after cesarean delivery success. Each model's performance was measured with the use of concordance indices, Brier scores, and calibration plots. Decision curve analysis identified the range of threshold probabilities for which the best prediction model would be of clinical value. RESULTS:Four hundred four women met the eligibility criteria. The observed rate of successful vaginal birth after cesarean delivery was 75% (305/404). Concordance indices were 0.717 (95% confidence interval, 0.659-0.778), 0.703 (95% confidence interval, 0.647-0.758), and 0.727 (95% confidence interval, 0.669-0.779), respectively. Brier scores were 0.172, 0.205, and 0.179, respectively. Calibration demonstrated that Grobman 2007 and Metz vaginal birth after cesarean delivery models were most accurate when predicted probabilities were >60% and were beneficial for counseling women who did not desire to have vaginal birth after cesarean delivery but had a predicted success rates of 60-90%. The models underpredicted actual probabilities when predicting success at <60%. The Grobman 2007 and Metz vaginal birth after cesarean delivery models provided greatest net benefit between threshold probabilities of 60-90% but did not provide a net benefit with lower predicted probabilities of success compared with a strategy of recommending vaginal birth after cesarean delivery for all women . CONCLUSION:When 3 commonly used vaginal birth after cesarean delivery prediction models are compared in the same population, there are differences in performance that may affect an institution's choice of which model to use.
Open Access
Chagas Disease Screening in Maternal Donors of Publicly Banked Umbilical Cord Blood, United States.
(Emerging infectious diseases, 2016-08) Edwards, James M; Gilner, Jennifer B; Hernandez, Jose; Kurtzberg, Joanne; Heine, R Phillips
To assess patterns of Chagas disease, we reviewed results of screening umbilical cord blood from a US public cord blood bank during 2007-2014. Nineteen maternal donors tested positive for Trypanosoma cruzi parasites (0.04%). Because perinatal transmission of Chagas disease is associated with substantial illness, targeted prenatal programs should screen for this disease.
Open Access
Correction: Medical and Obstetric Complications among Pregnant Women Aged 45 and Older.
(PLoS One, 2016) Grotegut, Chad A; Chisholm, Christian A; Johnson, Lauren NC; Brown, Haywood L; Heine, R Phillips; James, Andra H
Open Access
Efficacy of Non-Beta-lactam Antibiotics for Prevention of Cesarean Delivery Surgical Site Infections.
(AJP reports, 2019-04-30) Harris, Benjamin S; Hopkins, Maeve K; Villers, Margaret S; Weber, Jeremy M; Pieper, Carl; Grotegut, Chad A; Swamy, Geeta K; Hughes, Brenna L; Heine, R Phillips
Objective To examine the association between perioperative Beta ( β ))-lactam versus non- β -lactam antibiotics and cesarean delivery surgical site infection (SSI). Study Design Retrospective cohort of women undergoing cesarean delivery from January 1 to December 31, 2014. All women undergoing cesarean after 34 weeks with a postpartum visit were included. Prevalence of SSI was compared between women receiving β -lactam versus non- β -lactam antibiotics. Bivariate analyses were performed using Pearson's Chi-square, Fisher's exact, or Wilcoxon's rank-sum tests. Logistic regression models were fit controlling for possible confounders. Results Of the 929 women included, 826 (89%) received β -lactam prophylaxis and 103 (11%) received a non- β -lactam. Among the 893 women who reported a non-type I (low risk) allergy, 819 (92%) received β -lactam prophylaxis. SSI occurred in 7% of women who received β -lactam antibiotics versus 15% of women who received a non- β -lactam ( p = 0.004). β -Lactam prophylaxis was associated with lower odds of SSI compared with non- β -lactam antibiotics (odds ratio [OR] = 0.43; 95% confidence interval [CI] = 0.22-0.83; p = 0.01) after controlling for chorioamnionitis in labor, postlabor cesarean, endometritis, tobacco use, and body mass index (BMI). Conclusion β -Lactam perioperative prophylaxis is associated with lower odds of a cesarean delivery surgical site infection compared with non- β -lactam antibiotics.
Open Access
Group B Streptococcus (GBS) Colonization and Disease among Pregnant Women: A Historical Cohort Study.
(Infectious diseases in obstetrics and gynecology, 2019-01) Edwards, James M; Watson, Nora; Focht, Chris; Wynn, Clara; Todd, Christopher A; Walter, Emmanuel B; Heine, R Phillips; Swamy, Geeta K
Background:Maternal GBS colonization is associated with early-onset neonatal sepsis and extensive efforts are directed to preventing this complication. Less is known about maternal risks of GBS colonization. We seek to provide a modern estimate of the incidence and impact of maternal GBS colonization and invasive GBS disease. Methods:A single center historical cohort study of all births between 2003 and 2015 was performed. Data was collected via electronic health record abstraction using an institutional specific tool. Descriptive statistics were performed regarding GBS status. Inferential statistics were performed comparing risk of adverse pregnancy outcomes in cohorts with and without GBS colonization as well as cohorts with GBS colonization and invasive GBS disease. Results:A total of 60,029 deliveries were included for analysis. Overall, 21.6% of the population was GBS colonized and 0.1% had invasive GBS disease. GBS colonization was associated with younger maternal age, Black race, non-Hispanic ethnicity, chronic hypertension, preexisting diabetes, and tobacco use (p<0.01). In the adjusted analyses, there was an increased risk of gestational diabetes (aRR 1.21, 95% CI 1.11-1.32) in colonized pregnancies and a decreased incidence of short cervix (aRR 0.64, 95% CI 0.52-0.79), chorioamnionitis (aRR 0.76, 95% CI 0.66-0.87), wound infection (aRR 0.75, 95% CI 0.64-0.88), and operative delivery (aRR 0.85, 95% CI 0.83-0.88). Conclusions:This modern-day large cohort of all births over a 12-year period demonstrates a GBS colonization rate of 21.6%. This data reflects a need to assess maternal and perinatal outcomes in addition to neonatal GBS sepsis rates to inform decisions regarding the utility of maternal vaccination.
Open Access
Medical and obstetric complications among pregnant women aged 45 and older.
(PLoS One, 2014) Grotegut, Chad A; Chisholm, Christian A; Johnson, Lauren NC; Brown, Haywood L; Heine, R Phillips; James, Andra H
OBJECTIVE: The number of women aged 45 and older who become pregnant is increasing. The objective of this study was to estimate the risk of medical and obstetric complications among women aged 45 and older. METHODS: The Nationwide Inpatient Sample was used to identify pregnant woman during admission for delivery. Deliveries were identified using International Classification of Diseases, Ninth Revision (ICD-9-CM) codes. Using ICD-9-CM codes, pre-existing medical conditions and medical and obstetric complications were identified in women at the time of delivery and were compared for women aged 45 years and older to women under age 35. Outcomes among women aged 35-44 were also compared to women under age 35 to determine if women in this group demonstrated intermediate risk between the older and younger groups. Logistic regression analyses were used to calculate odds ratios with 95% confidence intervals for pre-existing medical conditions and medical and obstetric complications for both older groups relative to women under 35. Multivariable logistic regression analyses were also developed for outcomes at delivery among older women, while controlling for pre-existing medical conditions, multiple gestation, and insurance status, to determine the effect of age on the studied outcomes. RESULTS: Women aged 45 and older had higher adjusted odds for death, transfusion, myocardial infarction/ischemia, cardiac arrest, acute heart failure, pulmonary embolism, deep vein thrombosis, acute renal failure, cesarean delivery, gestational diabetes, fetal demise, fetal chromosomal anomaly, and placenta previa compared to women under 35. CONCLUSION: Pregnant women aged 45 and older experience significantly more medical and obstetric complications and are more likely to die at the time of a delivery than women under age 35, though the absolute risks are low and these events are rare. Further research is needed to determine what associated factors among pregnant women aged 45 and older may contribute to these findings.
Open Access
The effects of anemia on pregnancy outcome in patients with pyelonephritis.
(Infect Dis Obstet Gynecol, 2013) Dotters-Katz, Sarah K; Grotegut, Chad A; Heine, R Phillips
OBJECTIVE: Pyelonephritis is a common infectious morbidity of pregnancy. Though anemia is commonly associated with pyelonephritis, there are little data describing the effect of pyelonephritis with anemia on pregnancy outcomes. The purpose of this study was to further assess the association of anemia with infectious morbidity and pregnancy complications among women with pyelonephritis. STUDY DESIGN: We conducted a retrospective cohort study of pregnant women admitted to Duke University Hospital between July 2006 and May 2012 with pyelonephritis. Demographic, laboratory, and clinical data from the subject's pregnancy and hospitalizations were analyzed. Patients with pyelonephritis and anemia (a hematocrit < 32) were compared to those without anemia. Descriptive statistics were used to compare the two groups. RESULTS: 114 pregnant women were admitted with pyelonephritis and 45 (39.5%) had anemia on admission. There was no significant difference in age, race, preexisting medical conditions, or urine bacterial species between patients with anemia and those without. Women with anemia were more likely to deliver preterm (OR 3.3 (95% CI 1.07, 11.4), P = 0.04). When controlling for race and history of preterm delivery, women with anemia continued to have increased odds of preterm birth (OR 6.0, CI 1.4, 35, P = 0.012). CONCLUSION: Women with pyelonephritis and anemia are at increased risk for preterm delivery.