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Profiling the Socio-Demographic Characteristics and Outcome of Preterm Delivery in Alex Ekwueme Federal University Teaching Hospital Abakaliki

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Open Journal of Obstetrics and Gynecology 2019年第8期9卷 1168-1177页

作者： Malachy Chizoba Onyema Vitus Okwuchukwu Obi Johnbosco Ifunanya Nwafor Chinwe Wendy Oliobi Bridget Nkiruka Uche-Nwidagu Assumpta Nnenna Nweke paschal chijioke okoye Department of Obstetrics and Gynaecology Alex Ekwueme Federal University Teaching Hospital Abakaliki Nigeria

Background: Preterm delivery is a major cause of perinatal morbidity and mortality globally. In more than half of the cases, the exact cause is unknown and it is largely unpredictable. Certain maternal, social and demographic characteristics are risk factors and often help to predict and prognosticate the neonatal outcomes. Objective: This study was designed to determine the maternal socio-demographic characteristics and neonatal outcomes of patients managed for singleton preterm delivery in Alex Ekwueme Federal University Teaching Hospital, Abakaliki. Method: This was a 4-year retrospective analysis of patients managed for preterm birth from 1st January 2012 through 31st December 2015. Results: Over the study period there were a total number of 623 singleton preterm deliveries in the facility, while there were 9647 deliveries in the facility;the preterm birth rate was 6.5% or 65 per 1000 deliveries. The mean maternal age was 28.79 ± 5.33 while the mean parity was 1.89 ± 1.98. The mean gestational age and birth weight were 33.67 ± 2.62 and 2.30 ± 0.78 kg respectively. Apgar score in 1 minute was 6.89 ± 3.27, while in the 5th minute was 7.95 ± 3.42. Majority of the patients were multiparous and booked for antenatal care in the facility. Most of the preterm labour started spontaneously and were delivered vaginally. The caesarean section rate in this study was 35.5%. Fetal distress and preeclampsia/eclampsia were the commonest indications for caesarean section. The male to female ratio was 1.1:1. Nearly half of the neonates were born with normal birth weight and 427 (68.5%) were alive at discharge. However, 196 (31.5%) suffered early neonatal death due to prematurity. Maternal parity, booking status and fetal weight were significant determinants of fetal outcome with a p-value 0.05. Conclusion: Birth weight was the most important determinant of neonatal survival and the unbooked patient was an important determinant of poor outcome. Booking for antenatal care and ensuri

关键词： Preterm Delivery Maternal Sociodemographic Characteristics Neonate

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Epidemiology and Management of Ectopic Pregnancy in Alex Ekwueme Federal University Teaching Hospital, Abakaliki, Southeast, Nigeria

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Open Journal of Obstetrics and Gynecology 2019年第8期9卷 1202-1211页

作者： Bridget Nkiruka Uche-Nwidagu Vitus Okwuchukwu Obi Johnbosco Ifunanya Nwafor Assumpta Nnenna Nweke Chinwe Wendy Oliobi Malachy Chizoba Onyema paschal chijioke okoye Department of Obstetrics and Gynaecology Alex Ekwueme Federal University Teaching Hospital Abakaliki Nigeria

Background: Ectopic pregnancy is a common cause of maternal morbidity and mortality in the 1st trimester of pregnancy;without timely diagnosis and intervention, ruptured ectopic pregnancy can become a life threatening condition. Objective: This study aims to give baseline indices on the incidence, clinical presentation, risk factors and the management of cases of ectopic pregnancy that presented in Alex Ekwueme Federal University Teaching Hospital, Abakaliki over a 5-year period. Materials and Method: This is a 5-year retrospective study of patients who were diagnosed with ectopic pregnancy between January 1st 2012 and December 31st 2016. The statistical analysis was done using SPSS version 22. Result: During the study period, there were 11,932 deliveries while 7725 Gynaecology patients were admitted. Over the same period there were 156 patients diagnosed and managed for ectopic pregnancy, accounting for 1.31% of all deliveries and 2.0% of all Gynaecological admissions. The modal age group was 26 - 30 years 68 (43.6%), 122 (78.2%) were married, while 34 (21.7%) were single. Nulliparous were 41 (26.3%) and primiparous were 33 (21.2%). The commonest presenting complaints were lower abdominal pain and amenorrhea, and the commonest identified risk factor was previous pelvic inflammatory disease. Most of the cases were ruptured prior to presentation and partial salpingectomy was the management in all tubal pregnancy while two cases were unruptured and had salpingostomy and another case was abdominal pregnancy and had exploratory laparotomy only. Out of 156 women that presented with ectopic pregnancy, 8 (5.1%) died before surgery could be done due to late presentation. Fifty-seven women presented in a state of shock and 9 (5.8%) of the cases were complicated with acute renal failure. Conclusion: Ruptured ectopic pregnancy is a major cause of maternal morbidity and early pregnancy loss. Late presentation is a common feature in our environment;hence widespread advocacy on c

关键词： Epidemiology Management Ectopic Pregnancy Abakaliki

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Profiling the Socio-Demographic Characteristics and Outcome of Preterm Delivery in Alex Ekwueme Federal University Teaching Hospital Abakaliki

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Open Journal of Obstetrics and Gynecology（妇产科期刊） 2019年第8期

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Epidemiology and Management of Ectopic Pregnancy in Alex Ekwueme Federal University Teaching Hospital, Abakaliki, Southeast, Nigeria

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Open Journal of Obstetrics and Gynecology（妇产科期刊） 2019年第8期

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Assessment of the Level of Awareness of E-Waste Management and Concern for the Environment amongst the Populace in Onitsha, Southeastern Nigeria

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Journal of Environmental Protection 2014年第2期5卷 120-134页

作者： Anthony okoye chijioke Odoh Department of Environmental Management Nnamdi Azikiwe University Awka Nigeria.

This study was carried out to ascertain the peoples’ level of awareness of the regulation, their mode of disposal of the e-wastes and their awareness of the dangers inherent in improper handling and disposal of wastes. Data for this study were collected through the distribution of 247 well-structured questionnaires. Likert Scale was adopted for the analysis of the respondents. The results revealed that awareness is critically low. Though the respondents have concern for their environment in various degrees, majority dispose their e-waste alongside municipal wastes without knowing the implications. Awareness strategy was designed for sensitization campaign.

关键词： Awareness Disposal E-Waste Strategy Campaign

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Evaluation of optimization techniques in predicting optimum moisture content reduction in drying potato slices

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Artificial Intelligence in Agriculture 2020年第1期4卷 39-47页

作者： Onu chijioke Elijah K.Igbokwe Philomena T.Nwabanne Joseph O.Nwajinka Charles E.Ohale paschal Department of Chemical Engineering Nnamdi Azikiwe UniveristyP.M.B.5025 AwkaNigeria Department of Agric and Bioresource Engineering Nnamdi Azikiwe UniveristyP.M.B.5025 AwkaNigeria

The use of artificial intelligence models in predicting the moisture content reduction in the drying of potato(Ipomoea batata)sliceswas the focus of *** models used were adaptive neuro fuzzy inference systems(ANFIS),artificial neural network(ANN)and response surface methodology(RSM).The parameters considered were drying time,drying air speed and *** capability and sensitivity analysis of the three models were evaluated using the correlation coefficient(R2)and some statistical error functions such as the average relative error(ARE),root mean square error(RMSE),Hybrid Fractional Error Function(HYBRID)and absolute average relative error(AARE).The result showed that the three models demonstrated significant predictive behaviourwith R2 of 0.998,0.997 and 0.998 for ANFIS,ANN and *** calculated error functions of ARE(RSM=1.778,ANFIS=1.665 and ANN=4.282)and RMSE(RSM=0.0273,ANFIS=0.0282 and ANN=0.1178)suggested good harmony between the experimental and predicted *** was concluded that though the three models gave adequate predictions that were in good agreement with the experimental data,the RSM and ANFIS gave better model prediction than ANN.

关键词： Moisture content Potato Adaptive neuro fuzzy inference systems Artificial neural network Response surface methodology

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The impact of COVID-19 on the birth rate in Nigeria:a report from population-based registries

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Infectious Diseases Research 2023年第1期4卷 14-18页

作者： Charlotte Blanche Oguejiofor Kenechi Miracle Ebubechukwu George Uchenna Eleje Emmanuel Onyebuchi Ugwu Joseph Tochukwu Enebe Kingsley Emeka Ekwuazi Chukwuemeka Chukwubuikem Okoro Boniface Chukwuneme Okpala Charles Chukwunomunso Okafor Nnanyelugo Chima Ezeora Emeka Ifeanyi Iloghalu Chidebe Christian Anikwe Chigozie Geoffrey Okafor Polycarp Uchenna Agu Emeka Philip Igbodike Iffiyeosuo Dennis Ake Arinze Anthony Onwuegbuna Osita Samuel Umeononihu Onyedika Promise Anaedu Odigonma Zinobia Ikpeze David Chibuike Ikwuka Henry Ifeanyi Nwaolisa Ekene Agatha Emeka Jude Ogechukwu okoye Ihechinyerem Kelechi Osuagwu Angela Ogechukwu Ugwu Toochukwu Benjamin Ejikeme Eziamaka Pauline Ezenkwele chijioke Ogomegbunam Ezeigwe Malarchy Ekwunife Nwankwo Gerald Okanandu Udigwe Joseph Ifeanyichukwu Ikechebelu Grace Agbaeze Chukwuebuka Divine Nwanja Ahizechukwu Chigoziem Eke Department of Obstetrics and Gynecology Nnamdi Azikiwe University Teaching HospitalNnewi PMB 5025Nigeria Preventive Medicine and Research Department Clina-Lancet LaboratoriesVictoria IslandLagos 101241Nigeria Effective Care Research Unit Department of Obstetrics and GynecologyNnamdi Azikiwe UniversityNnewi Campus 435001Nigeria Department of Obstetrics and Gynecology College of MedicineUniversity of Nigeria Enugu CampusEnuguEnugu State 400102Nigeria Department of Obstetrics and Gynecology University of Nigeria Teaching HospitalItuku OzallaEnugu State 400102Nigeria Department of Obstetrics and Gynecology ESUT Teaching HospitalParklaneEnugu 400102Nigeria Medical Department Divine Medical CentreSouth West IkoyiLagos 1001233Nigeria Department of Obstetrics and Gynecology Havana Specialist HospitalSurulereLagos 100011Nigeria Clinical Trial Division Drug Evaluation and Research DirectorateNAFDAC office ComplexLagos 100011Nigeria Department of Ophthalmology Nnamdi Azikiwe UniversityNnewi campus 435001Nigeria Department of Human Physiology Nnamdi Azikiwe University NnewiAnambra State 435001Nigeria Department of Family Medicine Faculty of MedicineNnamdi Azikiwe UniversityAwka 435001Nigeria Department of Medical Laboratory Science Faculty of Health Sciences and TechnologyNnamdi Azikiwe UniversityAwka 435001Nigeria Department of Health Services Federal University of TechnologyOwerri 460103Nigeria Department of Haematology and Immunology College of MedicineUniversity of Nigeria Enugu CampusEnuguEnugu State 400102Nigeria Musgrove Park Hospital Somerset NHS Foundation TrustUnited Kingdom TLTp Medical(UHS) Southampton WS15United Kingdom Division of Maternal Fetal Medicine Department of Gynecology and ObstetricsJohns Hopkins University School of MedicineBaltimore 21201U.S.A

Background and objectives:Coronavirus disease 2019(COVID-19)is a pandemic that has become a major source of morbidity and mortality worldwide,affecting the physical and mental health of individuals influencing *** the threat,it poses to maternal health in sub-Saharan Africa and Nigeria,there is little or no data on the impact it has on fertility,conception,gestation and *** compare the birth rate between pre-COVID and COVID times using selected months of the *** and methods:This was a secondary analysis of cross-sectional analytical study data from the birth registries of three tertiary hospitals,comparing two years[2019(Pre-COVID)]versus[2020(COVID era)]using three months of the year(October to December).The data relied upon was obtained from birth registries in three busy maternity clinics all within tertiary hospitals in South-East Nigeria and we aimed at discussing the potential impacts of COVID-19 on fertility in *** secondary outcome measures were;mode of delivery,booking status of the participants,maternal age and ***:There was a significant decrease in tertiary-hospital based birth rate by 92 births(P=0.0009;95%CI:-16.0519 to-4.1481)among mothers in all the three hospitals in 2020 during the COVID period(post lockdown months)of October to *** was a significant difference in the mode of delivery for mothers(P=0.0096)with a 95%confidence interval of 1.0664 to 1.5916,as more gave birth through vaginal delivery during the 2020 COVID-19 period than ***:Tertiary-hospital based birth rates were reduced during the *** multi-centre study extrapolated on possible factors that may have played a role in this decline in their birth rate,which includes but is not limited to;decreased access to hospital care due to the total lockdowns/curfews and worsening inflation and economic recession in the country.

关键词： birth rates COVID-19 lockdown Nigeria pandemic pre-COVID

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