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 Risk factors for stillbirth and early neonatal death: a case-control study in tertiary hospitals in Addis Ababa, Ethiopia

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Eskinder Kebede ◽  
Melani Kekulawala
Keyword(s):  
Risk Factors ◽  
Neonatal Death ◽  
Maternal Education ◽  
Case Control Study ◽  
Addis Ababa ◽  
Case Control ◽  
Categorical Variables ◽  
Early Neonatal Death ◽  
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, 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 and Gandhi Memorial Hospital. All women who had a stillbirth or early neonatal death (i.e. death within 7 days) during this period willing to participate were included as cases. A systematic random sample of women delivering at the hospital were approached for recruitment as controls to generate a 2:1 ratio of controls to cases. Data on risk factors were retrieved from medical records including 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 death. 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. Records from both hospitals indicated that the estimated stillbirth and neonatal mortality rates were 30.7 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 death were low maternal education (aOR 1.747, 95%CI 1.098–2.780), 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. 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.

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 A study of early neonatal mortality in a tertiary hospital of Maharashtra, India

2018 ◽  
Vol 5 (5) ◽  
pp. 1869
Author(s):  
Nitin Mehkarkar ◽  
Vijay Baburao Sonawane
Keyword(s):  
Neonatal Mortality ◽  
Neonatal Death ◽  
Birth Asphyxia ◽  
Tertiary Hospital ◽  
Premature Delivery ◽  
Early Neonatal Death ◽  
Neonatal Deaths ◽  
Live Births ◽  
Early Neonatal Mortality ◽  
Early Neonatal Deaths

Background: India has a high Neonatal Mortality Rate (NMR) of 31 per 1000 live births and rural being 34 whereas urban being 17 (2011). Two thirds of the newborn deaths usually occur in the first week of life. Newborn survival has become an important issue to improve the overall health care goals. This study is carried out to identify primary causes of early neonatal deaths and to ascertain the factors affecting early neonatal mortality.Methods: This is a prospective study of all the early neonatal deaths in tertiary hospital of Maharashtra over two years. Details of each early neonatal death were filled in the standard perinatal death proforma.Results: Out of the 2073 total births, there were 75 early neonatal deaths (END) which is nearly 36.18 per 1000 live births. The important causes of END were severe birth asphyxia, respiratory distress syndrome and septicemia. About 50% of deaths were observed in mothers with age < 20 years, 25% deaths observed in mothers of age group 20-29 years, and similar percentage is with age >30 years. Most of the early neonatal deaths were due to Birth asphyxia and RDS was the second most important cause of early neonatal deaths. 70% of ENDs were among LBW babies. Prevention of premature delivery, proper management of very low birth weight babies and early detection and appropriate management of perinatal hypoxia have become important interventional strategies in reducing early neonatal deaths.Conclusions: Early Neonatal Mortality (ENM) at Tertiary Hospital is fairly high. In present study, early neonatal death rate of 36.18 per 1000 live births is observed which significantly higher than reported in literature.

scholarly journals Risk factors for stillbirth and early neonatal death: A case-control study in tertiary hospitals in Addis Ababa, Ethiopia

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

Abstract Background: Globally, Ethiopia is ranked seventh in the absolute number of stillbirths. Attempts to decrease this number have been obstructed by an inadequate understanding of the risk factors leading to stillbirth and early neonatal death in Ethiopia. This study was conducted in two tertiary hospitals in Addis Ababa, Ethiopia, to identify the risk factors for stillbirth and neonatal death in this setting.Methods: This case-control study was conducted between October 2016 and May 2017 at Tikur Anbessa Hospital (TAH) and Gandhi Memorial Hospital (GMH). All enrolled women who had a stillbirth or early neonatal death during this period were included as cases and a random sample of women delivering at the hospital was selected to enroll as controls for 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 death.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, hospital records indicated that the estimated stillbirth and neonatal death rates were 30.7 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 death were maternal education (aOR 1.747, 95%CI 1.098-2.780), 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.

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.

Risk factors for perinatal mortality: a case control study from Thiruvananthapuram, Kerala, India

2017 ◽  
Vol 6 (6) ◽  
pp. 2452 ◽  
Author(s):  
Mayadevi Brahmanandan ◽  
Lekshmi Murukesan ◽  
Bindu Nambisan ◽  
Shaila Salmabeevi
Keyword(s):  
Risk Factors ◽  
Mortality Rate ◽  
Perinatal Mortality ◽  
Case Control Study ◽  
Gestational Hypertension ◽  
Significant Risk ◽  
Case Control ◽  
Maternal Risk ◽  
Perinatal Mortality Rate ◽  
Control Study

Background: The greatest risks to life are in its very beginning. Although a good start in life begins well before birth, it is just before, during, and in the very first hours and days after birth that life is most at risk. This prospective case control study was designed on maternal risk factors for perinatal mortality.Methods: This was a case control study conducted in the Department of Obstetrics and Gynecology and Department of Paediatrics, Medical College Trivandrum for one year period in 2004-2005. The cases were all the fresh and macerated still births and early neonatal death cases during the study period. The controls were chosen as the next delivery entry in the OR register.Results: During this period, the total number of deliveries was 14,796 and there were 431 perinatal deaths. The perinatal mortality rate was 29.12. This was much higher compared to Kerala’s perinatal mortality rate of 10, the reason being that the study is conducted in a tertiary referral hospital with one of the best new born care nurseries and a large number of referrals. The most significant risk factors for perinatal mortality were low socio-economic status, referrals, late registration, prematurity, low birth weight, intra-uterine growth restriction, maternal diseases like gestational hypertension and gestational diabetes and intrapartum complications like abruption.Conclusions: Perinatal mortality rate serves as the most sensitive index of maternal and neonatal care. Good antenatal care and prevention of preterm birth may play a key role in further reduction of PMR.

Maternal Risk Factors for Congenital Syphilis: A Case-Control Study

1993 ◽  
Vol 137 (4) ◽  
pp. 415-422 ◽  
Author(s):  
Mayns P. Webber ◽  
Genevieve Lambert ◽  
David A. Bateman ◽  
W. Allen Hauser
Keyword(s):  
Risk Factors ◽  
Case Control Study ◽  
Congenital Syphilis ◽  
Case Control ◽  
Maternal Risk Factors ◽  
Maternal Risk ◽  
Control Study

scholarly journals A Case-Control Study for Assessing Risk Factors for Congenital Anomalies among Children in Sulaimani City

2018 ◽  
pp. 90-95 ◽  
Author(s):  
Niaz Mustafa Kamal ◽  
Nasih Othman
Keyword(s):  
Risk Factors ◽  
Congenital Anomalies ◽  
Maternal Obesity ◽  
Case Control Study ◽  
Significant Risk ◽  
Case Control ◽  
P Value ◽  
Maternal Risk ◽  
Wide Range ◽  
Control Study

Congenital anomalies comprise a wide range of abnormalities in body structure or function that are present at birth and are of prenatal origin. These are defined as structural changes that have significant medical, social or cosmetic consequences for the affected individual, and typically require medical intervention. According to our Knowledge, research is scarce on these conditions in Sulaimaniyah city. Therefore, the current study was conducted to investigate potential risk factors for congenital anomalies. A case-control study was carried out from March to August 2017 involving 400 children (200 cases and 200 controls) aged 0-5 years. Required data were obtained on the risk factors through face to face interviews with mothers of cases and controls. The data were using descriptive statistical methods, Chi-square and Logistic Regression using STATA 11, calculating odds ratios and condensing P value less than 0.05 as statistically significant. The mean age of the children was 1.9 years and age of their mothers at the time of pregnancy was 28 years. Congenital heart anomalies were the commonest type accounting for 27.5%. Significant risk factors for congenital anomalies were family history (OR=2.24, P= 0.007), maternal obesity (OR= 2.26, P= 0.001), mothers age over 30 (OR=2.78, P= 0.002) and mothers not using folic acid during pregnancy (OR=2.12, P= 0.0007). In general, in order to control and prevent the cases of CM, it is important to provide health education and policies to reduce environmental and maternal risk factors. Further, studies with larger sample size are needed to investigate incidence and risk factors of congenital anomalies.

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