Incidence and risk factors for early neonatal mortality in newborns with severe perinatal morbidity in Uganda

2014 ◽  
Vol 127 (2) ◽  
pp. 201-205 ◽  
Author(s):  
Moses Musooko ◽  
Othman Kakaire ◽  
Annettee Nakimuli ◽  
Sarah Nakubulwa ◽  
Jolly Nankunda ◽  
...  
Keyword(s):  
Risk Factors ◽  
Neonatal Mortality ◽  
Perinatal Morbidity ◽  
Early Neonatal Mortality

scholarly journals Early neonatal mortality and risk factors: a case-control study in Paraná State

2018 ◽  
Vol 71 (5) ◽  
pp. 2527-2534 ◽  
Author(s):  
Michelle Thais Migoto ◽  
Rafael Pallisser de Oliveira ◽  
Ana Maria Rigo Silva ◽  
Márcia Helena de Souza Freire
Keyword(s):  
Risk Factors ◽  
Neonatal Mortality ◽  
Neonatal Death ◽  
Secondary Data ◽  
Case Control ◽  
Management Tool ◽  
Early Neonatal Death ◽  
Maternal Risk ◽  
Early Neonatal Mortality ◽  
Technological Management

ABSTRACT Objective: to analyze the Early Neonatal Mortality risk factors according to the risk stratification criteria of the Guideline of the Rede Mãe Paranaense Program. Method: a case-control epidemiological study with secondary data from the Mortality and Live Birth Information System in 2014. The crude analysis was performed by the Odds Ratio association measure, followed by the adjusted analysis, considering risk factors as independent variables, and early neonatal death as dependent variable. Results: were considered as maternal risk factors: absence of partner and miscarriages; neonatal: male, low birth weight, prematurity, Apgar less than seven in the fifth minute, presence of congenital anomaly; and care: up to six prenatal appointments. Conclusion: an innovative study of risk factors for early neonatal death from the Guideline's perspective, a technological management tool for maternal and child health, in search of its qualification and greater sensitivity.

scholarly journals Early neonatal mortality rate and the risk factors in Wangaya hospital

2016 ◽  
Vol 48 (5) ◽  
pp. 306
Author(s):  
Made Lndah Nastiti Utami Budha ◽  
Wayan Retayasa ◽  
Made Kardana
Keyword(s):  
Risk Factors ◽  
Birth Weight ◽  
Mortality Rate ◽  
Neonatal Mortality ◽  
Gestational Age ◽  
Neonatal Death ◽  
Early Neonatal Death ◽  
Neonatal Mortality Rate ◽  
Early Neonatal Mortality ◽  
Early Neonatal Mortality Rate

Background The first week of life of a neonate is a critical period.In Asia, early neonatal mortality rate remains high.Objective To investigate early neonatal mortality rate and the riskfactors in Wangaya Hospital.Methods A cross sectional study was carried out retrospectivelyon neonates registered at Perinatology Unit, Wangaya HospitalDenpasar, Bali since January 2006. The study was done fromOctober to November 2007. Data was obtained from medicalrecord, analyzed as univariate using chi-square test or Fisher'sexact test and multivariate logistic regression analysis model.Results Early neonatal mortality rate in Wangaya Hospital was 38.7per 1000 livebirths. Univariate analyses showed that there werefive significant risk factors of early neonatal death, i.e., respiratorydistress, asphyxia, birth weight less than 2500 grams, sepsis, andgestational age less than 3 7 weeks. Multivariate analysis showedthat those five variables were significant as risk factors of earlyneonatal death i.e., OR (95% confidence interval) for respiratorydistress: 16.8 (3.7 to 76.6)], asphyxia: 13.5 (6.1 to 29.9)], birthweight <2500 grams: 8.1 (3.3 to 19.9)], sepsis: 7.3 (3.1 to 17.1),and gestational age <37 weeks: 3.5 (1.6 to 7.8)].Conclusions Early neonatal mortality rate in Wangaya Hospitalremains high. Respiratory distress, asphyxia, birth weight <2500gram, sepsis, and gestational age <37 weeks were independent riskfactors of early neonatal death.

scholarly journals Perinatal morbidity and early neonatal mortality in twin pregnancies

2013 ◽  
Vol 03 (01) ◽  
pp. 78-89 ◽  
Author(s):  
Corinna Peter ◽  
Paul Wenzlaff ◽  
Jan Kruempelmann ◽  
Gerhard Alzen ◽  
Eva Bueltmann ◽  
...  
Keyword(s):  
Neonatal Mortality ◽  
Perinatal Morbidity ◽  
Early Neonatal Mortality ◽  
Twin Pregnancies

Risk Factors for Stillbirth and Early Neonatal Mortality: A Case-Control Study in Tertiary Hospitals in Addis Ababa, Ethiopia

2020 ◽  
Author(s):  
Eskinder Kebede Weldetensaye ◽  
Melani Kekulawala
Keyword(s):  
Risk Factors ◽  
Neonatal Mortality ◽  
Perinatal Mortality ◽  
Maternal Education ◽  
Case Control Study ◽  
Case Control ◽  
Categorical Variables ◽  
Early Neonatal Mortality ◽  
Tertiary Hospitals ◽  
Control Study

Abstract Background: Ethiopia is a Sub-Saharan country that has made significant improvements in maternal mortality and under-five mortality over the past 15 years. However, perinatal mortality continues to be a major obstacle. The nation continues to have one of the highest rates of perinatal mortality in the entire world with current estimates at 33 deaths per 1000 live births.Methods: This case-control study was conducted between October 2016 and May 2017 at Tikur Anbessa Hospital (TAH) and Gandhi Memorial Hospital (GMH). All women who had a stillbirth or early neonatal mortality during this period willing to participate were included as cases. A systematic random sample of women delivering at the hospital was approached for recruitment as controls to generate a 2:1 ratio of controls to cases. Data on potential risk factors were retrieved from medical records including health passports, delivery records, and treatment charts. Statistical differences in background and social characteristics of cases and controls were determined by t-test and chi-squared (or fisher's exact test) for quantitative and categorical variables respectively. Binary logistic regression analysis was completed to determine any associations between risk factors and stillbirth/early neonatal mortality.Results: During the study period, 366 women delivering at the hospitals were enrolled as cases and 711 women delivering at the hospitals were enrolled as controls. During the study period, records from both hospitals indicated that the estimated stillbirth and neonatal mortality rates were30.7 per 1000. Neonatal causes (43.4%) were the most common, followed by antepartum (32.5%) and intrapartum (24.5%). Risk factors for stillbirths and early neonatal mortality were low maternal education (aOR 1.747, 95%CI 1.098-2.780), high parity (aOR 1.114, 95%CI .058- 2.484), previous stillbirth (aOR 9.447, 95%CI 6.245-14.289), previous preterm birth (aOR 3.620, 95%CI 2.363-5.546), and previous child with congenital abnormality (aOR 2.190, 95% 1.228-3.905), and antepartum hemorrhage during pregnancy (aOR 3.273, 95% 1.523-7.031).Conclusion: Antepartum hemorrhaging is the only risk factor in our study amenable for direct intervention. Efforts should be maximized to improve patient education and antenatal and obstetric services, particularly for women who have a history of obstetric complications identified as risk factors. Moreover, the most significant cause of mortality was asphyxia-related causes. It is imperative that obstetric capacity in rehabilitation services are strengthened and for further studies to investigate the high burden of asphyxia at these tertiary hospitals to better tailor interventions.

scholarly journals Preterm Delivery; Who Is at Risk?

2021 ◽  
Vol 10 (11) ◽  
pp. 2279
Author(s):  
Dvora Kluwgant ◽  
Tamar Wainstock ◽  
Eyal Sheiner ◽  
Gali Pariente
Keyword(s):  
Risk Factors ◽  
Preterm Birth ◽  
Prenatal Care ◽  
Recurrent Pregnancy Loss ◽  
Placental Abruption ◽  
Placenta Previa ◽  
Population Based ◽  
Perinatal Morbidity ◽  
Multiple Gestations ◽  
Extremely Preterm

Preterm birth (PTB) is the leading cause of perinatal morbidity and mortality. Adverse effects of preterm birth have a direct correlation with the degree of prematurity, in which infants who are born extremely preterm (24–28 weeks gestation) have the worst outcomes. We sought to determine prominent risk factors for extreme PTB and whether these factors varied between various sub-populations with known risk factors such as previous PTB and multiple gestations. A population-based retrospective cohort study was conducted. Risk factors were examined in cases of extreme PTB in the general population, as well as various sub-groups: singleton and multiple gestations, women with a previous PTB, and women with indicated or induced PTB. A total of 334,415 deliveries were included, of which 1155 (0.35%) were in the extreme PTB group. Placenta previa (OR = 5.8, 95%CI 4.14–8.34, p < 0.001), multiple gestations (OR = 7.7, 95% CI 6.58–9.04, p < 0.001), and placental abruption (OR = 20.6, 95%CI 17.00–24.96, p < 0.001) were the strongest risk factors for extreme PTB. In sub-populations (multiple gestations, women with previous PTB and indicated PTBs), risk factors included placental abruption and previa, lack of prenatal care, and recurrent pregnancy loss. Singleton extreme PTB risk factors included nulliparity, lack of prenatal care, and placental abruption. Placental abruption was the strongest risk factor for extreme preterm birth in all groups, and risk factors did not differ significantly between sub-populations.

scholarly journals Geospatial analysis of determinants of neonatal mortality in Ghana

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Duah Dwomoh
Keyword(s):  
Risk Factors ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Neonatal Mortality ◽  
Neonatal Death ◽  
Reproductive Age ◽  
Multiple Births ◽  
Demographic And Health Surveys ◽  
Neonatal Deaths ◽  
The Impact

Abstract Background Ghana did not meet the Millennium Development Goal 4 of reducing child mortality by two-thirds and may not meet SDG (2030). There is a need to direct scarce resources to mitigate the impact of the most important risk factors influencing high neonatal deaths. This study applied both spatial and non-spatial regression models to explore the differential impact of environmental, maternal, and child associated risk factors on neonatal deaths in Ghana. Methods The study relied on data from the Ghana Demographic and Health Surveys (GDHS) and the Ghana Maternal Health Survey (GMHS) conducted between 1998 and 2017 among 49,908 women of reproductive age and 31,367 children under five (GDHS-1998 = 3298, GDHS-2003 = 3844, GDHS-2008 = 2992, GDHS-2014 = 5884, GMHS-2017 = 15,349). Spatial Autoregressive Models that account for spatial autocorrelation in the data at the cluster-level and non-spatial statistical models with appropriate sampling weight adjustment were used to study factors associated with neonatal deaths, and a p-value less than 0.05 was considered statistically significant. Results Population density, multiple births, smaller household sizes, high parity, and low birth weight significantly increased the risk of neonatal deaths over the years. Among mothers who had multiple births, the risk of having neonatal deaths was approximately four times as high as the risk of neonatal deaths among mothers who had only single birth [aRR = 3.42, 95% CI: 1.63–7.17, p < 0.05]. Neonates who were perceived by their mothers to be small were at a higher risk of neonatal death compared to very large neonates [aRR = 2.08, 95% CI: 1.19–3.63, p < 0.05]. A unit increase in the number of children born to a woman of reproductive age was associated with a 49% increased risk in neonatal deaths [aRR = 1.49, 95% CI: 1.30–1.69, p < 0.05]. Conclusion Neonatal mortality in Ghana remains relatively high, and the factors that predisposed children to neonatal death were birth size that were perceived to be small, low birth weight, higher parity, and multiple births. Improving pregnant women’s nutritional patterns and providing special support to women who have multiple deliveries will reduce neonatal mortality in Ghana.

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