Short stature as an independent risk factor for cephalopelvic disproportion in a country of relatively small-sized mothers

Objective To clarify the relationship between maternal height and cesarean rate due to cephalopelvic disproportion (CPD) in singleton pregnancies among ethnic groups of relatively short stature. Methods A retrospective cohort study was performed on Thai singleton pregnancies at gestational age of mo...

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Bibliographic Details
Main Authors: Toh-Adam R., Srisupundit K., Tongsong T.
Format: Article
Published: Springer Verlag 2015
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Online Access:http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84864439173&origin=inward
http://cmuir.cmu.ac.th/handle/6653943832/38219
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Institution: Chiang Mai University
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Summary:Objective To clarify the relationship between maternal height and cesarean rate due to cephalopelvic disproportion (CPD) in singleton pregnancies among ethnic groups of relatively short stature. Methods A retrospective cohort study was performed on Thai singleton pregnancies at gestational age of more than 34 weeks. Logistic regression analysis was performed to correlate the maternal height and a risk for CPD. The short stature was deWned by a cut-oV value at 5th percentile ranking. Odds ratio for CPD was determined. Results Of 11,026 recruited, 9,198 were available for analysis. Considering cut-oV value of 145 cm, short stature was sig-niWcantly associated with higher rate of CPD with odds ratio of 2.4 (95% CI 1.8-3.0). The odds = exp(4.048 - 0.042 × Ht). After control of other variables, the relationship between maternal height and rate of CPD was still high. Conclusion Mothers with short stature were signiWcantly correlated with a higher rate of CPD, even after control of birth weight, parity and type of attendance. Clinical points could be drawn from this study including (1) deWnition of short statue must be developed for particular geographic or ethnic groups. In Thai population, using 145 cm as a cut-oV value, odds of CPD is 2.4; (2) Probability of CPD may be estimated by maternal height as a single variable or multiple variables using logistic regression equations. © 2012 Springer-Verlag.