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Pregnancy, obesity, gestational weight gain, and parity as predictors of peripartum complications.
MedLine Citation:
PMID:  21072526     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
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.
Authors:
Everett F Magann; Dorota A Doherty; Suneet P Chauhan; Jennifer M Klimpel; Shannon D Huff; John C Morrison
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Publication Detail:
Type:  Journal Article     Date:  2010-11-12
Journal Detail:
Title:  Archives of gynecology and obstetrics     Volume:  284     ISSN:  1432-0711     ISO Abbreviation:  Arch. Gynecol. Obstet.     Publication Date:  2011 Oct 
Date Detail:
Created Date:  2011-09-13     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8710213     Medline TA:  Arch Gynecol Obstet     Country:  Germany    
Other Details:
Languages:  eng     Pagination:  827-36     Citation Subset:  IM    
Affiliation:
Departments 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.
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