Shiono P H, Klebanoff M A
Center for the Future of Children, David and Lucile Packard Foundation, Los Altos, California.
Clin Perinatol. 1993 Mar;20(1):107-25.
Risk scoring is a quantitative method used to screen populations to identify persons at increased risk of developing a specific adverse health outcome. Risk scoring for preterm birth has taken the form of a simple additive score with risk factors based on clinical experience to sophisticated multivariable risk models using a large number of factors from several domains. It appears that our attempts at defining an effective risk scoring method for preterm birth have been unsuccessful. The positive predictive values (the percent of women defined as high risk that actually go on to have a preterm birth) have been relatively low (20% to 30%) and vary depending on the population studied. Several difficulties with risk scoring for preterm birth are identified. The biggest limitation of current efforts at screening for preterm birth is our ignorance of the causes of preterm birth. The role of recently defined risk factors, of the potential for synergistic relationship between risk factors, and of physician or hospital factors needs to be evaluated. Epidemiologic evidence is suggestive that preterm birth can be subclassified into preterm labor, preterm rupture of the membranes, and medically induced preterm births; however, substantial problems with misclassification, detection bias, and questionable biologic feasibility argue that these subgroups need to be validated before they can be used with confidence. Careful attention should also be paid to the statistical and methodologic limitations of risk scoring. Unless a single risk factor for a disease outcome has a relative risk over 5 and is very prevalent in the population (more than 25%), most of the disease cases will not have the risk factor. It may be unrealistic, however, to think that a single risk factor will adequately define women at high risk for preterm birth. Therefore in the future, if several lesser risk factors can be identified, multivariate modeling may prove useful in defining a valid high-risk group. In addition, attention should be paid to ensure that the risk factor assessment tools obtain accurate information and are easily reproducible among different health care providers. The reduction of preterm birth in France that occurred over a decade was accompanied by radical social changes in the ways in which the population and government perceived pregnancy and childbirth. In addition to universal access to prenatal care, population-based social changes to liberalize pregnancy leave policies and a commitment to supporting women during pregnancy were the focus of the government's commitment to reducing preterm birth.(ABSTRACT TRUNCATED AT 400 WORDS)
风险评分是一种定量方法,用于筛查人群,以识别发生特定不良健康结局风险增加的个体。早产风险评分的形式多样,从基于临床经验的简单相加评分,包含危险因素,到使用来自多个领域的大量因素构建的复杂多变量风险模型。看来我们为定义一种有效的早产风险评分方法所做的尝试并不成功。阳性预测值(被定义为高风险的女性中实际发生早产的百分比)相对较低(20%至30%),且因所研究的人群而异。确定了早产风险评分存在的几个困难。当前早产筛查工作的最大局限在于我们对早产原因的无知。最近定义的危险因素的作用、危险因素之间协同关系的可能性以及医生或医院因素都需要评估。流行病学证据表明,早产可分为早产临产、胎膜早破和医源性早产;然而,分类错误、检测偏倚以及生物学可行性存疑等重大问题表明,在能够放心使用这些亚组之前,需要对其进行验证。还应仔细关注风险评分的统计和方法学局限性。除非疾病结局的单一危险因素的相对风险超过5且在人群中非常普遍(超过25%),否则大多数病例不会有该危险因素。然而,认为单一危险因素就能充分界定早产高风险女性可能不现实。因此,未来如果能识别出几个较小的危险因素,多变量建模可能有助于定义一个有效的高风险组。此外,应注意确保风险因素评估工具能获取准确信息,且在不同医疗服务提供者之间易于重现。法国在过去十年中早产率的下降伴随着人口和政府对怀孕和分娩认知方式的根本性社会变革。除了普及产前护理外,基于人群的社会变革,如放宽产假政策以及承诺在孕期支持女性,是政府降低早产率承诺的重点。(摘要截选至400字)