Literature DB >> 15847869

A predictive model for cesarean section in low risk pregnancies.

L Seshadri1, B Mukherjee.   

Abstract

OBJECTIVE: A small number of women with low risk pregnancies undergo cesarean section. A model that can predict this risk and therefore identify these women will be of help in several hospitals where personnel and resources are limited.
METHODS: The study consisted of 2 parts. All charts of women with low risk singleton pregnancies admitted to labor room over a 5-month period were analyzed. Adjusted odds ratios were calculated to find out relative importance of each risk factor and likelihood ratios were obtained. These were prospectively applied to 1010 consecutive low risk women and the post test probability calculated. Finally the actual incidence of cesarean section was compared with posttest probability derived from predictors.
RESULTS: A combination of maternal age >24 years, primiparity and height <150 cm or a combination of any 2 of the 3 variables is significantly associated with increased cesarean section rate. Individually, primiparity, height <150 cm or age >24 years also significantly increased the chances of cesarean section.
CONCLUSIONS: A predictive model consisting of maternal age, parity and height can be used to identify low risk pregnant women who are likely to require cesarean section.

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Year:  2005        PMID: 15847869     DOI: 10.1016/j.ijgo.2005.01.031

Source DB:  PubMed          Journal:  Int J Gynaecol Obstet        ISSN: 0020-7292            Impact factor:   3.561


  2 in total

1.  Maternal Factors Associated with Mode of Delivery in a Population with a High Cesarean Section Rate.

Authors:  Tamala Gondwe; Kalpana Betha; G N Kusneniwar; Clareann H Bunker; Gong Tang; Hyagriv Simhan; P S Reddy; Catherine L Haggerty
Journal:  J Epidemiol Glob Health       Date:  2019-12

2.  Prediction of odds for emergency cesarean section: A secondary analysis of the CHILD term birth cohort study.

Authors:  Mon H Tun; Radha Chari; Padma Kaul; Fabiana V Mamede; Mike Paulden; Diana L Lefebvre; Stuart E Turvey; Theo J Moraes; Malcolm R Sears; Padmaja Subbarao; Piush J Mandhane
Journal:  PLoS One       Date:  2022-10-06       Impact factor: 3.752

  2 in total

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