Prevalence and One-Year Survival of Selected Major Congenital Anomalies in Germany: A Population-Based Cohort Study

Salmai Turial1, Friederike Stimming1, Anke Lux2

  • 1Division of Pediatric Surgery, Pediatric Trauma Surgery and Pediatric Urology, University Medical Centre Magdeburg, Magdeburg, Germany.

Insights

Infant survival rates for congenital anomalies in Saxony-Anhalt are comparable internationally, with 88.3% of live births surviving the first year. Comprehensive data including all pregnancy outcomes is crucial for accurate survival analysis.

Area of Science:

  • Pediatric Health
  • Public Health Surveillance
  • Medical Genetics

Background:

  • Congenital anomalies significantly contribute to global infant mortality.
  • Understanding prevalence and survival is key for public health interventions.
  • Saxony-Anhalt, Germany, serves as the study region.

Purpose of the Study:

  • To determine prevalence rates of major congenital anomalies.
  • To analyze 1-year survival rates for these anomalies.
  • To identify factors influencing infant survival.

Main Methods:

  • Systematic data collection by the Malformation Monitoring Centre Saxony-Anhalt.
  • Retrospective analysis of a cohort from 2000-2017.
  • Survival analysis including all pregnancy outcomes and risk factors.

Main Results:

  • 1,012 cases of congenital anomalies were registered.
  • Prevalence rates ranged from 2.5 (CDH) to 5.8 (SB) per 10,000.
  • Overall 1-year survival was 61.7% (including fetal losses), with 88.3% for live births.
  • Survival rates varied by anomaly type (35.7% for genetic, 57.6% for multiple, 68.6% for isolated).
  • Prenatally detected anomalies had lower survival (44.6%) than postnatally identified ones (85.2%).
  • Preterm birth (<31 weeks) and low birth weight (<1000g) adversely impacted survival.

Conclusions:

  • Survival rates in Saxony-Anhalt align with national and international findings.
  • Inclusion of all pregnancy outcomes (live birth, stillbirth, fetal loss) is vital for accurate statistical analysis in malformation registers.
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...
694
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...
2.6K
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,...
110
Cancer Survival Analysis01:21

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
411