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Predictors of failed trial of labor among women with an extremely obese body mass index.
- Source :
-
American journal of obstetrics and gynecology [Am J Obstet Gynecol] 2013 Dec; Vol. 209 (6), pp. 562.e1-5. Date of Electronic Publication: 2013 Jul 24. - Publication Year :
- 2013
-
Abstract
- Objective: The purpose of this study was to examine predictors associated with cesarean delivery (CD) among extremely obese women undergoing a trial of labor (TOL).<br />Study Design: Using a delivery database, we identified all pregnant women delivering at our institution from Jan. 1, 2008, through July 31, 2010, weighing >275 lb at the time of delivery who attempted a TOL with a singleton gestation >34 weeks' gestation. Demographic and obstetrical factors were compared for those having a successful vaginal delivery to those having a CD.<br />Results: During the study period, there were 357 pregnant women who weighed >275 lb (all with body mass index [BMI] >40 kg/m(2)), and among these, 248 (69.5%) attempted a TOL. Women having a CD had a greater BMI (51.6 vs 49.9 kg/m(2), P = .038), were less likely to be parous (32.2% vs 65.8%, P < .0001), and were more likely to be induced (80.5% vs 57.8%) compared to those having a vaginal delivery. Using a multivariable logistic regression model, among nulliparous women, maternal age, parity, and cervical dilation at time of admission were independent predictors for CD. Furthermore, an increase in BMI of 10 kg/m(2) was associated with a 3.5 increased odds (P = .002) for CD.<br />Conclusion: Among nulliparous extremely obese women attempting a TOL, BMI was an independent predictor of CD, with the rate of CD increasing further with increasing BMI. The underlying mechanisms for failed TOL in the setting of maternal obesity remain largely unknown.<br /> (Copyright © 2013 Mosby, Inc. All rights reserved.)
- Subjects :
- Adult
Delivery, Obstetric statistics & numerical data
Female
Humans
Logistic Models
North Carolina
Obesity diagnosis
Parity
Pregnancy
Risk Factors
Body Mass Index
Cesarean Section statistics & numerical data
Delivery, Obstetric methods
Labor, Induced statistics & numerical data
Obesity complications
Pregnancy Complications physiopathology
Trial of Labor
Subjects
Details
- Language :
- English
- ISSN :
- 1097-6868
- Volume :
- 209
- Issue :
- 6
- Database :
- MEDLINE
- Journal :
- American journal of obstetrics and gynecology
- Publication Type :
- Academic Journal
- Accession number :
- 23891628
- Full Text :
- https://doi.org/10.1016/j.ajog.2013.07.023