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一项针对极低出生体重儿的风险评估筛查测试。

A risk assessment screening test for very low birth weight.

作者信息

Gueorguieva Ralitza V, Sarkar Neena P, Carter Randy L, Ariet Mario, Roth Jeffrey, Resnick Michael B

机构信息

Department of Epidemiology and Public Health, Yale University, New Haven, Connecticut, USA.

出版信息

Matern Child Health J. 2003 Jun;7(2):127-36. doi: 10.1023/a:1023821127953.

Abstract

OBJECTIVES

To develop a risk-assessment screening tool for very low birth weight (VLBW) and to compare our empirically derived tool to the nonempirically derived screening tool used by the State of Florida.

METHODS

Birth records from the State of Florida Vital Statistics between 04/01/92 and 12/07/94 were matched with State Healthy Start prenatal records, reported from 04/01/92 through 03/31/94. Known and additional potentially important risk factors were identified from both sources. Generalized Linear Modeling techniques were used to estimate associations between risk factors and VLBW. A risk assessment system was then developed using the estimated model. The resulting screening test was compared with the one used by the Florida State Department of Health in terms of sensitivity and specificity on an independent validation sample.

RESULTS

The proposed screening tool had comparable specificity to the Healthy Start screening tool but significantly better sensitivity. Both instruments are simple and easy to implement.

CONCLUSIONS

Identification of women at high risk for VLBW would be improved using the model-based screening tool developed in this paper. Public health policy makers should use statistical methods in addition to expert opinion to improve existing risk assessment methods. The actual value of an improved screening instrument is dependent on the availability of effective intervention programs.

摘要

目的

开发一种针对极低出生体重(VLBW)的风险评估筛查工具,并将我们通过实证得出的工具与佛罗里达州使用的非实证性筛查工具进行比较。

方法

将1992年4月1日至1994年12月7日期间佛罗里达州生命统计部门的出生记录与1992年4月1日至1994年3月31日期间上报的该州健康起步产前记录进行匹配。从这两个来源中识别已知的和其他潜在重要的风险因素。使用广义线性建模技术来估计风险因素与极低出生体重之间的关联。然后使用估计的模型开发一个风险评估系统。在一个独立的验证样本上,将所得的筛查测试与佛罗里达州卫生部使用的筛查测试在敏感性和特异性方面进行比较。

结果

所提出的筛查工具与健康起步筛查工具具有相当的特异性,但敏感性显著更高。两种工具都简单且易于实施。

结论

使用本文开发的基于模型的筛查工具将能更好地识别极低出生体重高危女性。公共卫生政策制定者除了专家意见外,还应使用统计方法来改进现有的风险评估方法。改进后的筛查工具的实际价值取决于有效干预项目的可用性。

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