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Am J Perinatol 1986; 3(4): 339-344
DOI: 10.1055/s-2007-999893
ORIGINAL ARTICLE

© 1986 by Thieme Medical Publishers, Inc.

A Simplified Risk-Scoring System for Prematurity

Michael G. Ross, Calvin J. Hobel, J. Robert Bragonier, Moraye B. Bear, Rose L. Bemis
  • Departments of Obstetrics and Gynecology, Harbor/UCLA Medical Center, Torrance, California and Cedars-Sinai Hospital, Los Angeles, California
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Publication Date:
04 March 2008 (online)

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ABSTRACT

Prematurity, the major cause of perinatal morbidity and mortality, results from a multifactorial interaction of medical, historic, and psychosocial conditions. Although the literature contains several reports of prematurity risk-scoring systems, the relative importance of specific risk factors may depend on the population studied. This report represents the first prematurity risk-scoring system designed specifically for a predominantly Hispanic population in the United States.

Retrospective analysis of 8240 births occuring at Harbor/UCLA Medical Center from July, 1979 to December, 1982 identified maternal prenatal risk factors that were found to be statistically related to prematurity. A linear logistic regression model was then employed to derive a composite risk score. Using the logistic risk scores, we developed a simplified model for identifying women at risk for preterm birth. The methodology and analyses provide a system for the development of population-specific risk scoring.