Literature DB >> 29415590

The mortality of very low birth weight infants: the benefit and relative impact of changes in population and therapeutic variables.

Sorina Grisaru-Granovsky1, Valentina Boyko1, Liat Lerner-Geva1,2, Cathy Hammerman3, Misgav Rottenstreich1, Arnon Samueloff1, Michael S Schimmel3, Brian Reichman2,4.   

Abstract

OBJECTIVE: Very low birth weight (VLBW, ≤1500 g) infants' mortality rates have decreased markedly. We aimed to quantify the relative contribution of changes in the distribution of population characteristics and changes in specific mortality rates on the decline in mortality rates of VLBW infants. STUDY
DESIGN: A population-based observational study of the Israel national VLBW infant database. The study population comprised singleton VLBW infants of 24-32 weeks' gestation born during the epochs 1995-2000 (n = 3728) and 2006-2010 (n = 3246). The Kitagawa methodology was applied to determine the contribution of changes in demographic and perinatal characteristics and changes in specific mortality rates on the decline in mortality between the periods.
RESULTS: During the study epochs, VLBW infant mortality rates decreased from 19.7 to 13.8%. Of the 5.9% decrease in mortality, 60.6% was attributed to the decrease in specific mortality rates and 39.4% to changes in the proportions of population characteristics and therapies, predominantly early initiation of prenatal care (8.1%), antenatal steroids (25.1%), and cesarean delivery (8.1%). For most of the demographic and perinatal categories considered the relative contribution of changes in their proportions was <3%, whereas >97% could be attributed to changes in the specific mortality rates for these characteristics.
CONCLUSIONS: The decrease in preterm VLBW infant mortality was attributable predominantly to changes in variable specific mortality rates whereas changes in the proportions of demographic, perinatal risk factors, and therapies had a limited impact on VLBW infant mortality. Future assessment of determinants of VLBW infant mortality data should be dissected by discriminatory models.

Entities:  

Keywords:  Kitagawa discriminatory model; VLBW mortality; population risk factors; specific mortality rate

Mesh:

Year:  2018        PMID: 29415590     DOI: 10.1080/14767058.2018.1438398

Source DB:  PubMed          Journal:  J Matern Fetal Neonatal Med        ISSN: 1476-4954


  2 in total

1.  Healthcare-associated Infections in Very Low Birth-weight Infants in a South African Neonatal Unit: Disease Burden, Associated Factors and Short-term Outcomes.

Authors:  Lizel Georgi Lloyd; Adrie Bekker; Mirjam M Van Weissenbruch; Angela Dramowski
Journal:  Pediatr Infect Dis J       Date:  2022-08-09       Impact factor: 3.806

2.  Geospatial analysis of determinants of neonatal mortality in Ghana.

Authors:  Duah Dwomoh
Journal:  BMC Public Health       Date:  2021-03-12       Impact factor: 3.295

  2 in total

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