Determinants of adverse perinatal outcome in preeclampsia at the federal medical centre, Makurdi: a cross-sectional study

Authors

  • Omoregie Irowa Department of Obstetrics and Gynecology, Federal University of Health Sciences Otukpo (FUHSO), Benue State, Nigeria
  • Silas Ochejele Department of Obstetrics and Gynecology, Federal University of Health Sciences Otukpo (FUHSO), Benue State, Nigeria
  • Stephen Dongbe Ngwan Department of Obstetrics and Gynecology, Federal Medical Centre, Makurdi, Benue State, Nigeria
  • Daniel Eje Ukpabi Department of Epidemiology and Community Health, College of Health Sciences, Benue State University Makurdi, Benue State, Nigeria

DOI:

https://doi.org/10.18203/2320-1770.ijrcog20232271

Keywords:

Adverse perinatal outcome, Makurdi, North Central Nigeria, Preeclampsia, Risk factors

Abstract

Background: Preeclampsia currently accounts for the high burden of adverse perinatal morbidity and mortality in Nigeria. Aim of study was to determine the prevalence of preeclampsia and factors associated with adverse perinatal outcome at the Federal Medical Centre Makurdi.

Methods: This was an analytical cross-sectional study in which 170 consecutively consenting women with preeclampsia were recruited. The perinatal outcomes were identified in the antenatal period, at delivery and early puerperium. The data was analyzed using SPSS version 20.0 for windows (IBM SPSS Inc, Chicago, IL, USA). Categorical variables were analyzed using Chi-Square ( 2) test and Fisher's exact test. Bivariate analysis was used to test for association between basic characteristics of participants and adverse perinatal outcomes, while logistic regression analysis was used to determine the strength of these association. P < 0.05 and if CI does not include value 1, it was considered statistically significant.

Results: This study shows that the prevalence of preeclampsia and adverse perinatal outcome was 2.4% and 63.5% respectively. The adverse perinatal outcomes were more with the severe disease than with mild preeclampsia. The estimated gestational age at presentation (EGAP), severity of the disease and mode of delivery were the risk factors strongly associated with adverse perinatal outcomes.

Conclusions: This study had shown the high burden of preeclampsia in Makurdi, North Central Nigeria and recommends quality improvements in maternal and child care to reduce perinatal adverse outcomes.

References

Belay TL, Yigezu E, Urgie T, Feyiss GT. Maternal and perinatal outcome of preeclampsia without severe feature among pregnant women managed at a tertiary referral hospital in urban Ethiopia. PLoSONE. 2020;15(4):e0230638.

Coban U, Takmaz T, Unyeli OD, Ozdemir S. Advese outcomes of preeclampsia in previous and subsequent pregnancies and the risk of recurrence. Med Bull Sisli Etfal Hosp. 2021;55(3):426-31.

Olowokere AE, Olofinbiyi RO, Olajubu AO, Olofinbiyi BA. Prevalence, risk factors and foetomaternal outcomes associated with pre-eclampsia among pregnant women in Ekiti State Universuty Teaching Hospital Ado-Ekiti, Nigeria. Niger J Health Sci. 2017;17(1):7-13.

Osungbade KO, Ige OK. Public health perspectives of preeclampsia in developing countries: implication for health system strengthening. J Pregn. 2011;2011.

Saadat M, Nejad SM, Habibi G, Sheikhvatan M. Maternal and Neonatal Outcomes in Women with Preeclampsia. Taiwan J Obstet Gynaecol. 2007;46(3):255-59.

Chappell LC, Enye S, Seed P, Briley AL, Poston L, Shennan AH. Adverse perinatal outcomes and risk factors for preeclampsia in women with chronic hypertension: a prospective study. Hypertension. 2008;51(4):1002-9.

Kooffreh ME, Ekott M, Ekpoudom DO. The prevalence of preeclampsia among pregnant women in the University of Calabar Teaching Hospital, Calabar. Saudi J Health Sci. 2014;3(3):133-6.

Mou AD, Baiman Z, Hasan M, Miah R, Hafsa JM, Trisha AD et al. Prevalence of preeclampsia and associated risk factors among pregnant women in Bangladesh. Sci Rep. 2021;11:21339.

Jikamo B, Adefris M, Azale T, Gelaye KA. Incidence of adverse perinatal outcomes and risk factors among women with pre-eclampsia, southern Ethiopia: a prospective open cohort study. BMJ Paediatrics Open. 2022;6(1):e001567.

Akaba GO, Anyang UI, Ekele BA. Prevalence and materno-fetal outcomes of preeclampsia/eclampsia amongst pregnant women at a teaching hospital in north-central Nigeria: a retrospective cross-sectional study. Clinical Hypertension. 2021;27(1):1-0.

Naing L, Nordin RB, Abdul Rahman H, Naing YT. Sample size calculation for prevalence studies using Scalex and ScalaR calculators. BMC Medical Research Methodology. 2022;22(1):1-8.

Musa J, Mohammed C,Pam V, Daru P. Incidence and risk factors for preeclampsia I Jos, Nigeria. Afri Health Sci. 2018;18(3):584-95.

Abalos E, Cuesta C, Carroli G, Qureshi Z, Widmer M, Vogel J et al. On behalf of WHO multicountry survey on maternal and newborn health research network. Preeclampsia, eclampsia and adverse maternal and perinatal outcomes. A secondary analysis of World Health Organization multicountry survey on maternal and newborn health. BJOG. 2014;121(Suppl.1):14-24.

Silva LM, Coolman M, Steegers EA, Jaddie VM, Moll MA, Hofman A, Mackenbach JP, Raat H. Low socioeconomic status is a risk factor for preeclampsia. The generation R study. J Hypertens. 2008;26(6):1200-8.

Mattsson K, Juárez S, Malmqvist E. Influence of socio-economic factors and region of birth on the risk of preeclampsia in Sweden. Inter J Environ Res Pub Heal. 2022;19(7):4080.

Youssef AA, Mohamed MH, Habib DME, Moussa SSA. Effect of socioeconomic status on preeclampsia cross-sectional study. Med J Cairo Univ. 2018;86(7):4227-34.

Jikamo B, Adefris M, Azale T, Gelaye KA. Incidence of adverse perinatal outcomes and risk factors among women with pre-eclampsia, Southern Ethopia: A prospective open cohort study. BMJ Paedia Open. 2022;6(1):e001567.

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Published

2023-07-28

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Original Research Articles