Gender differences in survival rates among extreme low birth weight infants: Insight from a 16-year, single-centre

Mansour Al Qurashi1,2

  • 1Department of Paediatrics, Ministry of National Guard Health Affairs (MNGHA), King Abdulaziz Medical City, Jeddah, Kingdom of Saudi Arabia.

Insights

Female extreme low birth weight (ELBW) infants show higher survival rates than males. This survival advantage is particularly pronounced in infants weighing less than 750 grams.

Area of Science:

  • Neonatalogy
  • Perinatology
  • Pediatric Survival Studies

Background:

  • Extreme low birth weight (ELBW) infants (<1000g) represent a vulnerable population with significant neonatal mortality and morbidity.
  • Despite their low proportion of live births, ELBW infants contribute disproportionately to neonatal deaths and long-term health issues.
  • Understanding survival trends and influencing factors in ELBW infants is critical for improving neonatal care.

Purpose of the Study:

  • To analyze survival trends of extreme low birth weight (ELBW) infants over a 16-year period.
  • To investigate the impact of infant gender on the survival odds of ELBW infants.
  • To identify specific birth weight thresholds where gender differences in survival are most significant.

Main Methods:

  • Retrospective cohort study of ELBW infants admitted to a neonatal intensive care unit from 2008 to 2023.
  • Analysis of survival rates stratified by infant gender.
  • Statistical evaluation of survival odds, including odds ratios and p-values, to determine significance.

Main Results:

  • A total of 336 ELBW infants were included: 175 males (52.1%) and 161 females (47.9%).
  • Female ELBW infants exhibited a higher survival rate (78.9%) compared to males (68.6%), with an odds ratio of 1.712 (p=0.017).
  • The survival advantage for females was more pronounced in infants with birth weights below 750g (62% vs 44%), with an odds ratio of 2.06 (p=0.023).

Conclusions:

  • Female ELBW infants demonstrate a statistically significant higher survival rate compared to their male counterparts.
  • The survival benefit for female ELBW infants is particularly evident in the extremely low birth weight category (<750g).
  • These findings highlight the importance of considering gender in the management and prognostication of ELBW infants.

Related Concept Videos

Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
90
Parametric Survival Analysis: Weibull and Exponential Methods01:14

Parametric Survival Analysis: Weibull and Exponential Methods

Parametric survival analysis models survival data by assuming a specific probability distribution for the time until an event occurs. The Weibull and exponential distributions are two of the most commonly used methods in this context, due to their versatility and relatively straightforward application.
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
283
Life Histories01:29

Life Histories

Overview
17.6K
Survival Curves01:18

Survival Curves

Survival curves are graphical representations that depict the survival experience of a population over time, offering an intuitive way to track the proportion of individuals who remain event-free at each time point. These curves are widely used in fields such as medicine, public health, and reliability engineering to visualize and compare survival probabilities across different groups or conditions.
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
71
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,...
42
Truncation in Survival Analysis01:09

Truncation in Survival Analysis

Truncation in survival analysis refers to the exclusion of individuals or events from the dataset based on specific criteria related to the time of the event. This exclusion can happen in two primary forms: left truncation and right truncation.
Left truncation occurs when individuals who experienced the event of interest before a certain time are not included in the study. This is often due to a "delayed entry" into the study where only those who survive until a certain entry point are...
129