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Updated: Jun 6, 2026

An Experimental Paradigm for the Prediction of Post-Operative Pain (PPOP)
Published on: January 27, 2010
Pregnancy, obesity, gestational weight gain, and parity as predictors of peripartum complications
Everett F Magann1, Dorota A Doherty, Suneet P Chauhan
1Department of Obstetrics and Gynecology, University of Arkansas for the Medical Sciences, 4301 W. Markham St. Slot # 518, Little Rock, AR 72205, USA. efmagann@uams.edu
Purpose:
To determine if the best predictor of pregnancy complications is pre-pregnancy body mass index (BMI) alone or in combination with other factors.
Methods:
BMI and peripartum outcomes of singleton pregnancies were evaluated. Recursive partitioning and logistic regression modeling was used.
Results:
Of the 4,286 cohorts, 26% were obese (BMI >30 kg/m(2)) and, compared to cohorts with normal weight, at risk for wound infections (P < 0.001), and shoulder dystocia (P < 0.001). High-risk patients (15%; BMI >32.5, parity, pregnancy weight gain of 28 lb by 28 weeks) were at increased risk for wound infection (P < 0.001), endometritis (P < 0.001), shoulder dystocia (P = 0.001) and 5 min Apgar score <4 (P < 0.041) and at lower risk for pre-term delivery (P = 0.007).
Conclusions:
Since BMI, parity, and weight gain until 28 weeks together provide better prediction of peripartum complications than BMI alone, these characteristics can be used to triage and refer patients.
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