Cargando…
Caesarean section – an appraisal of some predictive factors in Lagos Nigeria
BACKGROUND: Several maternity units in the developing world lack facilities for caesarean section and often have to transfer patients in extremis. This case controlled study aimed to appraise predictive factors for caesarean section. METHODS: One hundred and fifty two consecutive women with singleto...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4227104/ https://www.ncbi.nlm.nih.gov/pubmed/24981086 http://dx.doi.org/10.1186/1471-2393-14-217 |
_version_ | 1782343736949211136 |
---|---|
author | Akinola, Oluwarotimi Ireti Fabamwo, Adetokunbo O Tayo, Adetokunbo O Rabiu, Kabiru A Oshodi, Yusuf A Alokha, Mercy E |
author_facet | Akinola, Oluwarotimi Ireti Fabamwo, Adetokunbo O Tayo, Adetokunbo O Rabiu, Kabiru A Oshodi, Yusuf A Alokha, Mercy E |
author_sort | Akinola, Oluwarotimi Ireti |
collection | PubMed |
description | BACKGROUND: Several maternity units in the developing world lack facilities for caesarean section and often have to transfer patients in extremis. This case controlled study aimed to appraise predictive factors for caesarean section. METHODS: One hundred and fifty two consecutive women with singleton pregnancies who had caesarean section were studied. The next parturient with normal delivery served as control. Variables such as age, parity, marital status, booking status, past obstetric history, weight, height, infant birth weight were assessed. Data obtained were analysed using SPSS 16.0 Windows package. RESULTS: During the study period, there were 641 deliveries with 257 of them by caesarean section (40.1%). Logistic regression analysis showed that parity, booking status, maternal height; maternal weight, birth weight, previous caesarean section and ante-partum bleeding were significant predictive factors for caesarean section while maternal age was not. CONCLUSIONS: These predictive factors should be considered in antenatal counseling to facilitate acceptance by at risk women and early referral. |
format | Online Article Text |
id | pubmed-4227104 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-42271042014-11-12 Caesarean section – an appraisal of some predictive factors in Lagos Nigeria Akinola, Oluwarotimi Ireti Fabamwo, Adetokunbo O Tayo, Adetokunbo O Rabiu, Kabiru A Oshodi, Yusuf A Alokha, Mercy E BMC Pregnancy Childbirth Research Article BACKGROUND: Several maternity units in the developing world lack facilities for caesarean section and often have to transfer patients in extremis. This case controlled study aimed to appraise predictive factors for caesarean section. METHODS: One hundred and fifty two consecutive women with singleton pregnancies who had caesarean section were studied. The next parturient with normal delivery served as control. Variables such as age, parity, marital status, booking status, past obstetric history, weight, height, infant birth weight were assessed. Data obtained were analysed using SPSS 16.0 Windows package. RESULTS: During the study period, there were 641 deliveries with 257 of them by caesarean section (40.1%). Logistic regression analysis showed that parity, booking status, maternal height; maternal weight, birth weight, previous caesarean section and ante-partum bleeding were significant predictive factors for caesarean section while maternal age was not. CONCLUSIONS: These predictive factors should be considered in antenatal counseling to facilitate acceptance by at risk women and early referral. BioMed Central 2014-06-30 /pmc/articles/PMC4227104/ /pubmed/24981086 http://dx.doi.org/10.1186/1471-2393-14-217 Text en Copyright © 2014 Akinola et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. |
spellingShingle | Research Article Akinola, Oluwarotimi Ireti Fabamwo, Adetokunbo O Tayo, Adetokunbo O Rabiu, Kabiru A Oshodi, Yusuf A Alokha, Mercy E Caesarean section – an appraisal of some predictive factors in Lagos Nigeria |
title | Caesarean section – an appraisal of some predictive factors in Lagos Nigeria |
title_full | Caesarean section – an appraisal of some predictive factors in Lagos Nigeria |
title_fullStr | Caesarean section – an appraisal of some predictive factors in Lagos Nigeria |
title_full_unstemmed | Caesarean section – an appraisal of some predictive factors in Lagos Nigeria |
title_short | Caesarean section – an appraisal of some predictive factors in Lagos Nigeria |
title_sort | caesarean section – an appraisal of some predictive factors in lagos nigeria |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4227104/ https://www.ncbi.nlm.nih.gov/pubmed/24981086 http://dx.doi.org/10.1186/1471-2393-14-217 |
work_keys_str_mv | AT akinolaoluwarotimiireti caesareansectionanappraisalofsomepredictivefactorsinlagosnigeria AT fabamwoadetokunboo caesareansectionanappraisalofsomepredictivefactorsinlagosnigeria AT tayoadetokunboo caesareansectionanappraisalofsomepredictivefactorsinlagosnigeria AT rabiukabirua caesareansectionanappraisalofsomepredictivefactorsinlagosnigeria AT oshodiyusufa caesareansectionanappraisalofsomepredictivefactorsinlagosnigeria AT alokhamercye caesareansectionanappraisalofsomepredictivefactorsinlagosnigeria |