A simplified risk-scoring system for prematurity.

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 occurring 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.

journal_name

Am J Perinatol

authors

Ross MG,Hobel CJ,Bragonier JR,Bear MB,Bemis RL

doi

10.1055/s-2007-999893

subject

Has Abstract

pub_date

1986-10-01 00:00:00

pages

339-44

issue

4

eissn

0735-1631

issn

1098-8785

journal_volume

3

pub_type

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