Changes in mortality rates among extremely preterm infants born before 25 weeks' gestation: Comparison between the

Kazuo Itabashi1, Tokuo Miyazawa1, Satoshi Kusuda2

  • 1Department of Pediatrics, Showa University School of Medicine, Tokyo, Japan.

Early Human Development
|February 6, 2021
PubMed

Insights

Mortality rates for extremely preterm infants born before 25 weeks gestation in Japan significantly improved between 2005 and 2010. However, care for infants born at 22 weeks gestation remains challenging.

Area of Science:

  • Neonatalogy
  • Perinatal Medicine
  • Public Health

Background:

  • There is ongoing debate regarding improvements in outcomes for extremely preterm infants (<25 weeks gestation).
  • Assessing trends in mortality for this vulnerable population is crucial for evaluating healthcare advancements.

Purpose of the Study:

  • To investigate changes in hospitalization mortality rates among extremely preterm infants in Japan.
  • To analyze trends in mortality stratified by gestational age between 2005 and 2010.

Main Methods:

  • Retrospective analysis of nationwide survey data from Japan.
  • Comparison of mortality rates for infants born <25 weeks gestation in 2005 versus 2010.
  • Statistical adjustment for explanatory variables to determine the probability of death.

Main Results:

  • Overall mortality for infants born <25 weeks gestation decreased from 36.4% in 2005 to 25.6% in 2010.
  • Gestational age-specific mortality rates generally decreased, with notable improvements at 22 and 23 weeks gestation.
  • Adjusted odds ratio for death in 2010 was significantly lower (0.597), particularly for infants born at 23 weeks gestation (aOR 0.439).

Conclusions:

  • Mortality rates for extremely preterm infants (<25 weeks gestation) in Japan have shown steady improvement from 2005 to 2010.
  • Despite overall improvements, the management and outcomes for infants born at 22 weeks gestation continue to present significant challenges.
Abstract

Related Concept Videos

Prevalence and Incidence01:08

Prevalence and Incidence

In statistical epidemiology and health sciences, two essential metrics—prevalence and incidence—are fundamental for understanding disease dynamics within a population. These measures enable public health officials, epidemiologists, and researchers to assess the burden of diseases, allocate resources effectively, and design impactful public health policies and interventions.
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
1.1K
Relative Risk01:12

Relative Risk

Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
1.2K
Teratogenicity01:07

Teratogenicity

The ability of a drug to produce structural deformations and functional abnormalities in the developing embryo or the fetus is called teratogenicity, and the drug producing this effect is known as a teratogen. Teratogenic effects include stillbirth, miscarriage, intrauterine growth restriction, and neurocognitive delay. A teratogen may affect the embryo at different stages of development, which is important in determining the type and extent of the damage. During blastocyst formation, the early...
3.7K
Life Tables01:22

Life Tables

A life table is a statistical tool that summarizes the mortality and survival patterns of a population, providing detailed insights into the likelihood of survival or death across different age intervals within a cohort. By organizing data on survival probabilities and mortality rates, life tables offer a clear snapshot of population dynamics over time. They are extensively used in demography, public health, actuarial science, and ecology to analyze life expectancy, design health interventions,...
334
Actuarial Approach01:20

Actuarial Approach

The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
191
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
969