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A population-based study of craniosynostosis.

L R French1, I T Jackson, L J Melton

  • 1Section of Chronic Disease and Environmental Epidemiology, Minnesota Department of Health, Minneapolis 55440.

Journal of Clinical Epidemiology
|January 1, 1990
PubMed
Summary

This study determined the incidence of craniosynostosis in Olmsted County, Minnesota. The incidence for definite craniosynostosis was 3.1 per 10,000 births, and 13.6 per 10,000 for all cases.

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Area of Science:

  • Pediatric Epidemiology
  • Craniofacial Surgery
  • Genetics

Background:

  • Craniosynostosis, the premature fusion of skull sutures, affects infant development.
  • Accurate incidence data is crucial for understanding the condition's prevalence and impact.
  • Previous estimates of craniosynostosis frequency vary, necessitating population-based studies.

Purpose of the Study:

  • To establish the population-based incidence of craniosynostosis in Olmsted County, Minnesota.
  • To compare observed rates with existing minimal and maximal estimates.
  • To differentiate incidence based on case classification (definite vs. probable).

Main Methods:

  • A population-based study identified cases of primary craniosynostosis in Olmsted County residents born between 1976 and 1985.

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  • Cases were defined as definite (surgical or radiographic confirmation) or probable (radiograph ordered due to concern).
  • Incidence rates were calculated per 10,000 births and compared to prior estimates.
  • Main Results:

    • The incidence of definite craniosynostosis was 3.1 per 10,000 births (95% CI, 0.4-5.8).
    • The incidence for all cases (definite and probable) was 13.6 per 10,000 births (95% CI, 7.9-19.3).
    • Observed rates were statistically consistent with previous low and high estimates, respectively.

    Conclusions:

    • This study provides reliable population-based incidence rates for craniosynostosis.
    • The findings support the consistency of craniosynostosis occurrence with prior estimations.
    • Distinguishing between definite and probable cases aids in refining epidemiological data.