title: Patterns and trends of multiple congenital anomalies in birth defects surveillance systems.
abstract: Infants with multiple congenital anomalies (MCA) can provide important clues in the detection of teratogenic agents. Definition, classification, and ascertainment of MCA vary, however. We present comparative epidemiologic data on MCA from two U.S. surveillance systems: the Metropolitan Atlanta Congenital Defects Program, which ascertains major birth defects during the first year of life, and the Birth Defects Monitoring Program, a nationwide system that relies on newborn hospital-discharge diagnoses. This system has two components: the Commission on Public Hospitals Activities (CPHA) and the McDonnell Douglas Health Information System (MDHIS). Our analyses were based on over 600,000 births occurring in Atlanta, and over 5 million births occurring nationwide. Infants were classified as having MCA if they had two or more major defects from different categories (central nervous system, eye, orofacial, gastrointestinal, cardiovascular, genitourinary, and musculoskeletal). Additional analyses were also done on infants with three or more defects. Compared with the nationwide system, Atlanta showed 1) a much higher rate of MCA (16.2 per 10,000 births vs. 4.9 and 3.8 per 10,000 births in CPHA and MDHIS, respectively) and 2) a higher rate of MCA with chromosomal syndromes (2.0 per 10,000 births vs. 0.6 and 0.3 per 10,000 births in CPHA and MDHIS, respectively). Moreover, in Atlanta, the proportion of MCA with recorded chromosomal syndromes increased substantially during 20 years. These data point to differences in the ascertainment of MCAs in birth defects surveillance systems. More effort is needed to improve the ascertainment and comparability of MCA in surveillance systems, an important step toward better detection of human teratogens.
authors.affiliation: Birth Defects and Genetic Diseases Branch, Centers for Disease Control, Atlanta, Georgia 30333.
authors.forename: M J
authors.initials: MJ
authors.lastname: Khoury
authors.forename: G D
authors.initials: GD
authors.lastname: Waters
authors.forename: J D
authors.initials: JD
authors.lastname: Erickson
mesh_terms: D000014:Abnormalities, Drug-Induced / Q000453:epidemiology* / Q000209:etiology; D000015:Abnormalities, Multiple / Q000453:epidemiology* / Q000209:etiology; D002869:Chromosome Aberrations / Q000453:epidemiology; D025063:Chromosome Disorders; D006801:Humans; D011159:Population Surveillance; D013577:Syndrome; D014481:United States / Q000453:epidemiology