1079: Racial differences in neonatal mortality of extreme premature births for each gestational age of birth

Since 1976 a computerized data base has been used to store information on babies admitted to two intensive care nurseries serving the Vermont/New Hampshire region. The data base now allows reporting "neonatal" mortality by birth weight/gestational age (BW/GA) groupings for 1976-1979. For all BW/GA groups, except the most immature infants, there has been marked improvement compared to data gathered in the sixties (ie, mortality has decreased). These data are probably applicable to most other centers providing neonatal intensive care. The use of BW/GA categories provides the most reliable way of objectively comparing statistics from one center to another. Differences between two centers were observed when birth weight specific rates were used, but were largely abolished by using BW/GA groups. Data gathered in this way will be increasingly important for comparisons between centers and across years and when evaluating the effectiveness of new therapeutic interventions.

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Fetal, neonatal, and post-neonatal mortality in the 2015 Pelotas (Brazil) birth cohort and associated factors

Cadernos de Saúde Pública ◽

10.1590/0102-311x00072918 ◽

2019 ◽

Vol 35 (7) ◽

Author(s):

Andrea Ramirez Varela ◽

Bruna Celestino Schneider ◽

Susana Bubach ◽

Mariangela Freitas Silveira ◽

Andréa Dâmaso Bertoldi ◽

...

Keyword(s):

Neonatal Mortality ◽

Birth Cohort ◽

Gestational Age ◽

Associated Factors ◽

Reference Group ◽

Multinomial Logistic Regression ◽

First Year ◽

Chi Square ◽

Neonatal Deaths ◽

First Year Of Life

This study aimed to describe fetal, neonatal, and post-neonatal mortality and associated factors in participants of the 2015 Pelotas (Brazil) birth cohort. The child mortality sub-study followed up all deaths in the first year of life. Data were collected on intrauterine fetal deaths (weight ≥ 500g and/or gestational age ≥ 20 weeks), neonatal deaths (< 28 days of life), and post-neonatal deaths (from 28 days to the end of the first year of life). Descriptive analyses using the Pearson chi-square test and a multinomial logistic regression to estimate the risk of fetal, neonatal, and post-neonatal deaths compared to live infants in the cohort (reference group) were performed. Data from 4,329 eligible births were collected, of which 54 died during the fetal period. Of the 4,275 eligible live births, 59 died in the first year of life. An association between fetal, neonatal, and post-neonatal deaths (OR = 15.60, 7.63, and 5.51 respectively) was found, as well as less than six prenatal consultations. Compared to live infants, fetal deaths were more likely to occur in non-white mothers, and neonatal deaths were 14.09 times more likely to occur in a preterm gestational age (< 37 weeks). Compared to live infants, infants that were born in a C-section delivery had 3.71 increased odds of post-neonatal death. Additionally, neonatal deaths were 102.37 times more likely to have a low Apgar score on the fifth minute after birth. These findings show the need for early interventions during pregnancy, ensuring access to adequate prenatal care.

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Reexamining the effects of gestational age, fetal growth, and maternal smoking on neonatal mortality

BMC Pregnancy and Childbirth ◽

10.1186/1471-2393-4-22 ◽

2004 ◽

Vol 4 (1) ◽

Cited By ~ 15

Author(s):

Cande V Ananth ◽

Robert W Platt

Keyword(s):

Neonatal Mortality ◽

Fetal Growth ◽

Gestational Age ◽

Maternal Smoking

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Hypoglycaemia in the Newborn

PRILOZI ◽

10.1515/prilozi-2017-0025 ◽

2017 ◽

Vol 38 (2) ◽

pp. 79-84

Author(s):

Orhideja Stomnaroska ◽

Elizabeta Petkovska ◽

Sanja Ivanovska ◽

Snezana Jancevska ◽

Dragan Danilovski

Keyword(s):

Birth Weight ◽

Low Birth Weight ◽

Neonatal Mortality ◽

Gestational Age ◽

Apgar Score ◽

Significant Positive Correlation ◽

High Birth Weight ◽

Neonatal Hypoglycaemia ◽

Maternal Risk ◽

Positive Correlation

Abstract Aim: Severe neonatal hypoglycaemia (HG) leads to neurologic damage, mental retardation, epilepsy, impaired cardiac performance and muscle weakness. The aim was to assess the frequency and severity of HG in a population of newborns. Patients and methods: We investigated 739 patients with neonatal hypoglycaemia (HG) (M:F=370:369) born at the University Clinic for Gynaecology and Obstetritics in Skopje in the period 2014-2016 and treated at the neonatal intensive care unit (NICU). 1416 babies were treated in the same period in NICU, and HG was observed in 52.18%. The birth weight was dominated by children with low birth weight: very low birth weight (VLBW)(<1500g) 253 children, (34,23%), low birth weight (1500-2500g) 402 (54.39%), appropriate for gestational age (AGA) 78(10.55%), and high birth weight (>4000g) 6 babies (0.81%). The gestational age was also dominated by children with low gestational age: gestational week (GW) 20-25 four children (0.54%), 26-30 GW 133 babies (17.99%), 31-35 GW472 (63.87%), and 36-40 GW130 neonates (17.59 %). 241 mothers (32.61%) have had an infection during pregnancy, 82 preeclampsia or eclampsia (11.09%), 20 diabetes mellitus (2.70%), 78 placental situations (placenta previa, abruption) (10.55%). In this study 47 babies (6.35%) with HG and co-morbidities died. There was a significant positive correlation between HG birth weight (p<0.01), gestational age (p<0.05), and the lowest Apgar score (p<0.01). Neonatal deaths were significantly correlated with GA (р>0,01), co-morbidities of the mothers (р>0,05) but not with the birth weight (р>0,05). In contrast, a significant positive correlation was found between convulsions and body weight (р<0.05). The lowest Apgar score was positively correlated with the gestational age (0.01), but not with the birth weight (0.05). Conclusion: Low birth weight, low gestational age, maternal risk factors, hypoxic-ischemic encephalopathy and neonatal infections are associated with HG and are a significant factor in overall neonatal mortality. Those results indicate that diminishing the frequency of the neonatal HG and the rates of neonatal mortality requires complex interaction of prenatal and postnatal interventions.

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Racial Differences in Secular Trends in Respiratory-Related Neonatal Mortality among VLBW Infants in the US

Pediatric Research ◽

10.1203/00006450-199904020-01512 ◽

1999 ◽

Vol 45 (4, Part 2 of 2) ◽

pp. 254A-254A

Author(s):

Deepa Ranganathan ◽

Stephen N Wall ◽

Babak Khoshnood ◽

Jaideep K Singh ◽

Kwang-sun Lee

Keyword(s):

Neonatal Mortality ◽

Racial Differences ◽

Secular Trends ◽

Vlbw Infants ◽

The Us

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Neonatal mortality and morbidity rates in term twins with advancing gestational age

American Journal of Obstetrics and Gynecology ◽

10.1016/j.ajog.2006.01.018 ◽

2006 ◽

Vol 195 (1) ◽

pp. 172-177 ◽

Cited By ~ 22

Author(s):

Jennifer E. Soucie ◽

Quiying Yang ◽

Shi Wu Wen ◽

Karen Fung Kee Fung ◽

Mark Walker

Keyword(s):

Neonatal Mortality ◽

Gestational Age ◽

Mortality And Morbidity

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Competing Risk Analysis of the Health Status of Neonates with Respiratory Distress Syndrome

Journal of Biostatistics and Epidemiology ◽

10.18502/jbe.v6i2.4878 ◽

2020 ◽

Author(s):

Zenaw Ayele ◽

Mekonnen Tadesse ◽

Zelalem Tazu

Keyword(s):

Prognostic Factors ◽

Birth Weight ◽

Health Status ◽

Respiratory Distress Syndrome ◽

Respiratory Distress ◽

Neonatal Mortality ◽

Preterm Infants ◽

Gestational Age ◽

Distress Syndrome ◽

Competing Risk

Introduction: Respiratory distress syndrome (RDS) is not only the most common respiratory disorder in premature infants but also the main cause of neonatal mortality. Methods: Competing risk framework was used to examine and identify potential prognostic factors of the health status of preterm infants with respiratory distress syndrome. Preterm infants with RDS admitted to the neonatal intensive care units (NICUs) of selected hospitals in Ethiopia were followed for 28 days and only neonates with complete cases were included in the analysis. The Fine-Gray or sub-distribution hazard model was used to identify significant prognostic factors. Three outcome variables (death due to RDS, death due to other causes and discharged alive) were considered. Results: The Fine-Gray model fit results revealed that anemia, multiple pregnancies, birth-weight and gestational age were the prognostic factors significantly associated with the death of neonates due to Respiratory distress syndrome problem while Pneumonia, meningitis, anemia and gestational age of neonates were the significant prognostic factors for death of neonates due to other causes. Moreover, pneumonia, birth weight and gestational age were identified as the prognostic factors associated with neonates being discharged alive. Conclusion: Offering intensive and adequate treatments for neonates with lowest birth-weights and gestational age may be useful to reduce neonatal mortality and increase the incidence of being discharged alive.

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