Research Article | Open Access

Emerging Predictors of Obstructed Labour in a Single Nigerian Center Population of a Low Resource Setting

    Charlotte B. Oguejiofor

    Department of Obstetrics and Gynecology, Faculty of Medicine, Nnamdi Azikiwe University, Awka, Nigeria

    Chinedu J. Ezugwu

    Department of Obstetrics and Gynecology, Nnamdi Azikiwe University Teaching Hospital, P.M.B. 5025, Nnewi, Nigeria

    George U. Eleje

    Department of Obstetrics and Gynecology, Faculty of Medicine, Nnamdi Azikiwe University, Awka, Nigeria

    Ekene A. Emeka

    Department of Family Medicine, Faculty of Medicine, Nnamdim Azikiwe University, Awka, Nigeria

    Josephat C. Akabuike

    Department of Obstetrics and Gynecology, Chukwuemeka Odumegwu Ojukwu University Teaching Hospital, Awka, Nigeria

    Joseph C. Umeobika

    Department of Obstetrics and Gynecology, Chukwuemeka Odumegwu Ojukwu University Teaching Hospital, Awka, Nigeria

    Onyecherelam M. Ogelle

    Department of Obstetrics and Gynecology, Nnamdi Azikiwe University Teaching Hospital, P.M.B. 5025, Nnewi, Nigeria

    Osita S. Umeononihu

    Department of Obstetrics and Gynecology, Faculty of Medicine, Nnamdi Azikiwe University, Awka, Nigeria

    Ahizechukwu C. Eke

    Division of Maternal-Fetal Medicine, Department of Gynecology and Obstetrics, The John Hopkins University School of Medicine, Baltimore, Maryland, United States


Received
01 Apr, 2022
Accepted
16 Jul, 2022
Published
01 Oct, 2022

Background and Objective: Despite the stigma attached to obstructed labour in Nigeria, it has remained largely uninvestigated. Study determined the prevalence, emerging predictors, management modalities and complications of obstructed labour, compare them with cases without obstructed labour who delivered within the same period. Materials and Methods: A retrospective study and case-controlled analysis of obstructed labour managed at Nnamdi Azikiwe University Teaching Hospital, Nnewi, South-East, Nigeria were undertaken. One control per case was randomly selected from the remaining births by selecting the non-obstructed labour cases. Bivariate analysis was performed by the Chi-squared test and conditional logistic regression analysis was used to determine variables associated with obstructed labour. Statistical significance was accepted when the p<0.05. Results: Of all the 5,301 deliveries during the study period, 80 cases of obstructed labour were recorded, giving a prevalence of 1.5%. Only 73 case files were available with complete information for the study’s further analysis. A conditional logistic regression analysis, the risk factors were teenage pregnancy (p<0.001, Adjusted Odds Ratio (AOR):5.43, 95% Confidence Interval (CI):1.20-8.05), unbooked status (p<0.001, AOR:0.01, 95%CI:0.00-0.02), nulliparity (p<0.001, AOR:4.15, 95%CI:2.42-7.25), short stature (p<0.001, AOR:44.74, 95%CI:19.51-113.53) and birth weight (p<0.001, AOR:4.52, 95%CI:2.69-7.71). The case fatality rate was 5.5% and the perinatal mortality rate was 21.9%. Conclusion: Majority obstructed labour have high maternal morbidity and perinatal mortality.

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APA-7 Style
Oguejiofor, C.B., Ezugwu, C.J., Eleje, G.U., Emeka, E.A., Akabuike, J.C., Umeobika, J.C., Ogelle, O.M., Umeononihu, O.S., Eke, A.C. (2022). Emerging Predictors of Obstructed Labour in a Single Nigerian Center Population of a Low Resource Setting. Trends in Medical Research, 17(4), 136-144. https://doi.org/10.3923/tmr.2022.136.144

ACS Style
Oguejiofor, C.B.; Ezugwu, C.J.; Eleje, G.U.; Emeka, E.A.; Akabuike, J.C.; Umeobika, J.C.; Ogelle, O.M.; Umeononihu, O.S.; Eke, A.C. Emerging Predictors of Obstructed Labour in a Single Nigerian Center Population of a Low Resource Setting. Trends Med. Res 2022, 17, 136-144. https://doi.org/10.3923/tmr.2022.136.144

AMA Style
Oguejiofor CB, Ezugwu CJ, Eleje GU, Emeka EA, Akabuike JC, Umeobika JC, Ogelle OM, Umeononihu OS, Eke AC. Emerging Predictors of Obstructed Labour in a Single Nigerian Center Population of a Low Resource Setting. Trends in Medical Research. 2022; 17(4): 136-144. https://doi.org/10.3923/tmr.2022.136.144

Chicago/Turabian Style
Oguejiofor, Charlotte , B., Chinedu J. Ezugwu, George U. Eleje, Ekene A. Emeka, Josephat C. Akabuike, Joseph C. Umeobika, Onyecherelam M. Ogelle, Osita S. Umeononihu, and Ahizechukwu C. Eke. 2022. "Emerging Predictors of Obstructed Labour in a Single Nigerian Center Population of a Low Resource Setting" Trends in Medical Research 17, no. 4: 136-144. https://doi.org/10.3923/tmr.2022.136.144