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Efficacy of Non-Beta-lactam Antibiotics for Prevention of Cesarean Delivery Surgical Site Infections.
Abstract
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.
Type
Journal articlePermalink
https://hdl.handle.net/10161/18965Published Version (Please cite this version)
10.1055/s-0039-1685503Publication Info
Harris, Benjamin S; Hopkins, Maeve K; Villers, Margaret S; Weber, Jeremy M; Pieper,
Carl; Grotegut, Chad A; ... Heine, R Phillips (2019). Efficacy of Non-Beta-lactam Antibiotics for Prevention of Cesarean Delivery Surgical
Site Infections. AJP reports, 9(2). pp. e167-e171. 10.1055/s-0039-1685503. Retrieved from https://hdl.handle.net/10161/18965.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Chad Aaron Grotegut
Associate Professor of Obstetrics and Gynecology
I am a specialist in maternal-fetal medicine, which is a subspecialty of OB/GYN that
focuses on the care of women with high-risk pregnancies. I serve as the Medical Director
of the Labor and Delivery Unit at Duke University Hospital. In that role, and together
with our outstanding unit team members, we have the opportunity to help women and
their families ensure that they have the safest and best labor and delivery experience
possible. My specific clinical int
Brenna L Hughes
Professor of Obstetrics and Gynecology
Carl F. Pieper
Professor of Biostatistics & Bioinformatics
Analytic Interests. 1) Issues in the Design of Medical Experiments: I explore the
use of reliability/generalizability models in experimental design. In addition to
incorporation of reliability, I study powering longitudinal trials with multiple outcomes
and substantial missing data using Mixed models. 2) Issues in the Analysis of Repeated
Measures Designs & Longitudinal Data: Use of Hierarchical Linear Models (HLM) or Mixed
Models in modeling trajectories of multipl
Geeta Krishna Swamy
Haywood Brown, MD Distinguished Professor of Women's Health
Dr. Geeta Swamy, MD, is Professor of Obstetrics and Gynecology in the Division of
Maternal-Fetal Medicine, having served as the director of the Duke Perinatal Research
Center and Vice Chair for Research and Faculty Development in the Department of ObGyn.
She has achieved international acclaim as a clinician researcher and expert in the
field of maternal immunization and perinatal infection. As a consultant to the World
Health Organization, Dr. Swamy contributes her knowledge to advance inte
Jeremy Weber
Biostatistician III
Jeremy collaborates with clinicians, residents, and fellows in the Division of Pulmonary,
Allergy, and Critical Care Medicine in the Department of Medicine, and the Department
of Obstetrics and Gynecology. His research experience involves multilevel modeling,
lung transplantation studies, and working with national databases. His statistical
interests include longitudinal analysis, observational studies, and survival analysis.
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