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Prevalence of congenital malformations and genetic diseases in Korea

S C Jung1, S S Kim, K S Yoon

  • 1Division of Genetic Disease, National Institute of Health, Seoul, Korea. jungsc@nih.go.kr

Journal of Human Genetics
|February 4, 1999
PubMed

Insights

This study analyzed Korean medical insurance data from 1993-1994 to identify congenital malformations and genetic diseases in infants. Cardiovascular anomalies, particularly ventricular septal defect, were most common, impacting public health planning.

Area of Science:

  • Pediatrics
  • Medical Genetics
  • Public Health

Background:

  • Congenital malformations and genetic diseases pose significant health challenges globally.
  • Understanding the prevalence and patterns of these conditions is crucial for effective healthcare planning and resource allocation.

Purpose of the Study:

  • To investigate the prevalence and patterns of congenital malformations and genetic diseases in Korean infants using nationwide medical insurance data.
  • To estimate the associated medical expenses for these conditions.

Main Methods:

  • Analysis of Korean Medical Insurance data for infants under 1 year old from 1993-1994.
  • Classification of diseases using the International Classification of Diseases, Ninth Revision (ICD-9) codes.
  • Calculation of prevalence rates per 1000 infants for various anomalies and estimation of total medical expenses.

Main Results:

  • Cardiovascular anomalies were most frequent (15/1000 infants), with ventricular septal defect being the most common (3.50/1000).
  • Polydactyly (1.20/1000) was the leading musculoskeletal anomaly; anencephaly and congenital hypertrophic pyloric stenosis were most frequent in the nervous and gastrointestinal systems, respectively.
  • Ventricular septal defect, congenital coagulation factor VIII disorders, and atrial septal defect incurred the highest medical expenses.

Conclusions:

  • The prevalence of congenital malformations in Korea is comparable to international reports.
  • Findings provide valuable data for social welfare system planning and understanding the burden of these diseases in Korea and potentially other Asian countries.

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