Characteristics and risk factors of preterm births in a tertiary center in Lagos, Nigeria
| العنوان: | Characteristics and risk factors of preterm births in a tertiary center in Lagos, Nigeria |
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| المؤلفون: | Osayame Ekhaguere, Kelli K. Ryckman, Iretiola Bamikeolu Fajolu, Christopher Imokhuede Esezobor, E O Iroha, Mathias Egri-Okwaji, Jenna Ladd, Rose I Anorlu, Chinyere Ezeaka, Moses Temidayo Abiodun, Prisca Olabisi Adejumo, Wasiu Lanre Adeyemo, Bolaji Badejoko, Bukola Odusanya, Lawal O Oyeneyin, Azeez Butali, Christian Chigozie Makwe, Nancy Weathers |
| المصدر: | Pan African Medical Journal; Vol 24, No 1 (2016) The Pan African Medical Journal The Pan African Medical Journal, Vol 24, Iss 1 (2016) |
| بيانات النشر: | African Field Epidemiology Network, 2016. |
| سنة النشر: | 2016 |
| مصطلحات موضوعية: | Adult, Male, medicine.medical_specialty, Pediatrics, Adolescent, Nigeria, Gestational Age, Prenatal care, Hospitals, University, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Pregnancy, Risk Factors, 030225 pediatrics, medicine, Humans, Rupture of membranes, lcsh:R5-920, Fetus, 030219 obstetrics & reproductive medicine, not registered for antenatal care, Obstetrics, business.industry, lcsh:Public aspects of medicine, Research, lcsh:RA1-1270, Preterm birth, Prenatal Care, General Medicine, Odds ratio, medicine.disease, 3. Good health, Pregnancy Complications, Logistic Models, Cohort, Premature Birth, Gestation, Term Birth, Female, lcsh:Medicine (General), business, Maternal Age |
| الوصف: | Introduction: preterm birth is a dire complication of pregnancy that poses huge long-term medical and financial burdens for affected children, their families, and the health care system. The aim of the present study was to identify characteristics associated with preterm births at the Lagos University Teaching Hospital (LUTH), Lagos, Nigeria from 2011 to 2013. Methods: we obtained Information from 5,561 maternal, fetal/neonatal and obstetric records from the labor ward. We excluded delivery at less than 22 weeks (0.25%), post-term birth at ≥42 weeks gestation (1.3%), and unknown gestation (1.4%). Additionally, we excluded records of multiple births (5.4%) and stillbirths (8.3%) leaving 4,691 records of singleton live-births for analysis. Logistic regression analysis was performed comparing preterm birth (22-36 weeks gestation) to term birth (37-41 weeks gestation). Multiple variable models adjusting for maternal age, parity, fetal position, delivery method and booking status were also evaluated. Multinomial regression was used to identify characteristics associated with preterm birth (PTB) defined as early PTB (22-31 weeks gestation), moderate PTB (32-34 weeks gestation), late PTB (35-36 weeks gestation), compared to term birth (37-41 completed weeks gestation). Results: from our data, 16.8% of the singleton live-birth deliveries were preterm ( |
| وصف الملف: | application/pdf |
| اللغة: | English |
| تدمد: | 1937-8688 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0cb0f4a334f400a9e8bb792dbbcc9d2c https://www.ajol.info/index.php/pamj/article/view/138105 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....0cb0f4a334f400a9e8bb792dbbcc9d2c |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 19378688 |
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