Neonatal Mortality Risk Related to Birth Weight and Gestational Age in British Columbia

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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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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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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Prevalence of Small-for-Gestational-Age and Its Mortality Risk Varies by Choice of Birth-Weight-for-Gestation Reference Population

PLoS ONE ◽

10.1371/journal.pone.0092074 ◽

2014 ◽

Vol 9 (3) ◽

pp. e92074 ◽

Cited By ~ 30

Author(s):

Joanne Katz ◽

Lauren A. Wu ◽

Luke C. Mullany ◽

Christian L. Coles ◽

Anne C. C. Lee ◽

...

Keyword(s):

Birth Weight ◽

Gestational Age ◽

Mortality Risk ◽

Small For Gestational Age ◽

Reference Population

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International Comparisons of Fetal and Neonatal Mortality Rates in High-Income Countries: Should Exclusion Thresholds Be Based on Birth Weight or Gestational Age?

PLoS ONE ◽

10.1371/journal.pone.0064869 ◽

2013 ◽

Vol 8 (5) ◽

pp. e64869 ◽

Cited By ~ 32

Author(s):

Ashna D. Mohangoo ◽

Béatrice Blondel ◽

Mika Gissler ◽

Petr Velebil ◽

Alison Macfarlane ◽

...

Keyword(s):

Birth Weight ◽

Neonatal Mortality ◽

Gestational Age ◽

International Comparisons ◽

Mortality Rates ◽

High Income

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The distribution of intra-twin birth weight discordance and its association with total twin birth weight, gestational age, and neonatal mortality

European Journal of Obstetrics & Gynecology and Reproductive Biology ◽

10.1016/j.ejogrb.2004.10.012 ◽

2005 ◽

Vol 121 (1) ◽

pp. 27-33 ◽

Cited By ~ 26

Author(s):

Hongzhuan Tan ◽

Shi Wu Wen ◽

Karen Fung Kee Fung ◽

Mark Walker ◽

Kitaw Demissie

Keyword(s):

Birth Weight ◽

Neonatal Mortality ◽

Gestational Age ◽

Twin Birth

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Nationwide Birth Weight and Gestational Age-specific Neonatal Mortality Rate in Taiwan

Pediatrics & Neonatology ◽

10.1016/j.pedneo.2014.07.006 ◽

2015 ◽

Vol 56 (3) ◽

pp. 149-158 ◽

Cited By ~ 4

Author(s):

Shuo-Tse Hsu ◽

Chia-Jung Hsieh ◽

Hung-Wen Chen ◽

Suh-Fang Jeng ◽

Hui-Chen Wu ◽

...

Keyword(s):

Birth Weight ◽

Mortality Rate ◽

Neonatal Mortality ◽

Gestational Age ◽

Neonatal Mortality Rate

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Early neonatal mortality rate and the risk factors in Wangaya hospital

Paediatrica Indonesiana ◽

10.14238/pi48.5.2008.306-11 ◽

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.

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CLINICAL RISK INDEX FOR BABIES (CRIB SCORE) AS A PREDICTOR OF NEONATAL MORTALITY

Journal of University Medical & Dental College ◽

10.37723/jumdc.v10i4.70 ◽

2019 ◽

Vol 10 (4) ◽

pp. 5-10

Author(s):

Zarmast Khan ◽

Nasir Zulﬁqar ◽

Hamid Mahmood et al.

Keyword(s):

Birth Weight ◽

Low Birth Weight ◽

Neonatal Mortality ◽

Gestational Age ◽

Very Low Birth Weight ◽

Risk Index ◽

Preterm Neonates ◽

Cross Sectional ◽

Study Population ◽

Crib Score

ABSTRACT:OBJECTIVE: It is very important to predict the outcome among preterm and very low birth weight babies as mortality rates are quite high. CRIB score is used to predict the outcomes in preterm neonates. The objective of this study was to determine the strength of CRIB score in detecting neonatal mortality in babies presenting with very low birth weight. STUDY DESIGN: Cross-sectional study. SUBJECTS: A total of 254 newborns with birth weight of between 500 to 1500 grams and gestational age of ≤35 weeks were included. The study was conducted over a period of 6 months in neonatology department of Shifa International Hospital, Islamabad. METHODS: CRIB score was obtained through a prospective way in all neonates and its association was assessed with mortality during neonatal intensive care unit (NICU) stay. RESULTS: The percentage of male and female newborn subjects was 54.3% (n=138) and 45.7% (n=116) respectively. Mean gestational age was 33.3 weeks ± 1.04 and mean birth weight of study population was 1129.9 grams ± 210.6. Mean CRIB score among the study population was 6.3 ± 3.1 and overall mortality was found to be 54.7% (n=139). Mean CRIB score was found to be 8.27 ± 2.1 among mortality group and it was 3.87 ± 3.4 among newborns who were discharged (P<0.05). Mortality was present in 4.3% (n=4) of neonates with CRIB score between 1-5, 87.1% (n=121) who had CRIB score between 6-10 and 100% (n=14) of neonates who had CRIB score between 1115 (P<0.05). CONCLUSION: Signiﬁcantly higher mortality was noted among neonates with higher CRIB scores.

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