Clinical and sociodemographic correlates of preterm deliveries in two tertiary hospitals in southern Nigeria

Background: To determine the prevalence of preterm delivery and identify the associated risk factors. Design: This was a five – month prospective case control study of two cohorts of women who had preterm and term deliveries. Setting: Central Hospital (CH), Warri, and Delta State University Teachi...

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Main Authors: Mudiaga E. Zini, Lawrence O. Omo-Aghoja
Format: Article
Language:English
Published: Ghana Medical Association 2019-03-01
Series:Ghana Medical Journal
Subjects:
Online Access:http://ghanamedj.org/articles/March2019/4%20Pattern%20pre-term%20deliveries.pdf
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author Mudiaga E. Zini
Lawrence O. Omo-Aghoja
author_facet Mudiaga E. Zini
Lawrence O. Omo-Aghoja
author_sort Mudiaga E. Zini
collection DOAJ
description Background: To determine the prevalence of preterm delivery and identify the associated risk factors. Design: This was a five – month prospective case control study of two cohorts of women who had preterm and term deliveries. Setting: Central Hospital (CH), Warri, and Delta State University Teaching Hospital (DELSUTH), Oghara, respectively in southern Nigeria. Participants: 522 women which consisted of 174 who presented in preterm labour or with preterm prelabour rupture of membranes as cases and 348 parturient with term deliveries served as controls. Interventions: The study was conducted from May 1st 2015 to September 30th 2015. Socio – demographic characteristics, past gynaecological/obstetric factors, maternal/obstetric factors, and fetal outcomes were compared, and associations between these variables and gestational age at delivery were determined. Main outcome measures: Prevalence of preterm delivery associated clinical and socio-demographic correlates and the fetal salvage rates. Results: The incidence of preterm birth was 16%. Maternal age (p < 0.002), parity (p < 0.000), booking status (p < 0.000), and socio – economic class (p < 0.000) were significantly associated with preterm births. Others were multiple pregnancy (p < 0.000), pre – eclampsia/eclampsia (p < 0.000), anaemia (p < 0.000), malaria (p < 0.000), UTI (p < 0.012), premature rupture of membrane (p < 0.000) and antepartum haemorrhage (p < 0.000). Fetal salvage rate was zero for extreme preterm neonates and 100% at late preterm. Conclusion: Preterm birth was common, with well-defined correlates and predictors. The fetal salvage rates were significantly different across the categories of preterm neonates. Funding: The study was self-funded by the authors Keywords: preterm, gestational age, parity, Nigeria, risk factors, pregnancy, prevalence
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spelling doaj.art-e42f0a513eec41bf9faa4e28c42d7feb2022-12-22T01:49:28ZengGhana Medical AssociationGhana Medical Journal0016-95602616-163X2019-03-015312028http://dx.doi.org/10.4314/gmj.v53i1.4Clinical and sociodemographic correlates of preterm deliveries in two tertiary hospitals in southern NigeriaMudiaga E. Zini0Lawrence O. Omo-Aghoja1Department of Obstetrics and Gynaecology, Epsom General Hospital, Epsom, Surrey, United KingdomDepartment of Obstetrics and Gynecology, Faculty of Clinical Medicine, College of Health Sciences, Delta State University, Abraka, NigeriaBackground: To determine the prevalence of preterm delivery and identify the associated risk factors. Design: This was a five – month prospective case control study of two cohorts of women who had preterm and term deliveries. Setting: Central Hospital (CH), Warri, and Delta State University Teaching Hospital (DELSUTH), Oghara, respectively in southern Nigeria. Participants: 522 women which consisted of 174 who presented in preterm labour or with preterm prelabour rupture of membranes as cases and 348 parturient with term deliveries served as controls. Interventions: The study was conducted from May 1st 2015 to September 30th 2015. Socio – demographic characteristics, past gynaecological/obstetric factors, maternal/obstetric factors, and fetal outcomes were compared, and associations between these variables and gestational age at delivery were determined. Main outcome measures: Prevalence of preterm delivery associated clinical and socio-demographic correlates and the fetal salvage rates. Results: The incidence of preterm birth was 16%. Maternal age (p < 0.002), parity (p < 0.000), booking status (p < 0.000), and socio – economic class (p < 0.000) were significantly associated with preterm births. Others were multiple pregnancy (p < 0.000), pre – eclampsia/eclampsia (p < 0.000), anaemia (p < 0.000), malaria (p < 0.000), UTI (p < 0.012), premature rupture of membrane (p < 0.000) and antepartum haemorrhage (p < 0.000). Fetal salvage rate was zero for extreme preterm neonates and 100% at late preterm. Conclusion: Preterm birth was common, with well-defined correlates and predictors. The fetal salvage rates were significantly different across the categories of preterm neonates. Funding: The study was self-funded by the authors Keywords: preterm, gestational age, parity, Nigeria, risk factors, pregnancy, prevalencehttp://ghanamedj.org/articles/March2019/4%20Pattern%20pre-term%20deliveries.pdfpretermgestational ageparityNigeriarisk factorspregnancyprevalence
spellingShingle Mudiaga E. Zini
Lawrence O. Omo-Aghoja
Clinical and sociodemographic correlates of preterm deliveries in two tertiary hospitals in southern Nigeria
Ghana Medical Journal
preterm
gestational age
parity
Nigeria
risk factors
pregnancy
prevalence
title Clinical and sociodemographic correlates of preterm deliveries in two tertiary hospitals in southern Nigeria
title_full Clinical and sociodemographic correlates of preterm deliveries in two tertiary hospitals in southern Nigeria
title_fullStr Clinical and sociodemographic correlates of preterm deliveries in two tertiary hospitals in southern Nigeria
title_full_unstemmed Clinical and sociodemographic correlates of preterm deliveries in two tertiary hospitals in southern Nigeria
title_short Clinical and sociodemographic correlates of preterm deliveries in two tertiary hospitals in southern Nigeria
title_sort clinical and sociodemographic correlates of preterm deliveries in two tertiary hospitals in southern nigeria
topic preterm
gestational age
parity
Nigeria
risk factors
pregnancy
prevalence
url http://ghanamedj.org/articles/March2019/4%20Pattern%20pre-term%20deliveries.pdf
work_keys_str_mv AT mudiagaezini clinicalandsociodemographiccorrelatesofpretermdeliveriesintwotertiaryhospitalsinsouthernnigeria
AT lawrenceoomoaghoja clinicalandsociodemographiccorrelatesofpretermdeliveriesintwotertiaryhospitalsinsouthernnigeria