Behnke M, Carter R L, Hardt N S, Eyler F D, Cruz A C, Resnick M B
Am J Perinatol. 1987 Apr;4(2):121-4. doi: 10.1055/s-2007-999752.
While Apgar scores provide a valid prediction of mortality in term infants (primarily reflecting asphyxia), intervening variables in premature newborns complicate interpretation. Physiologic states normal to preterm infants (such as, decreased muscle tone) can depress scores but may not influence survival significantly. Therefore the relationship between Apgar scores and survival in term and preterm infants differs. Because of the paucity of studies on preterm infants, we tested Apgar scores, as well as birthweight and gestational age, as outcome predictors in 748 low-birthweight infants (500-1800 gm). Our purpose was to assess the relationship between 1- and 5-minute Apgar scores and survival, and to evaluate all combinations of the four variables as outcome predictors. Univariate analysis showed a significant relationship between each of the four variables and survival; however, no single variable accounted for more than 32% of the variance in outcome, thus no single factor could be invoked as the major determinant of survival. Logistic regression analyses demonstrated the interrelationships of the four variables to survival. While both Apgar scores were related to survival, independent of the effects of birthweight and gestational age, they were slightly less predictive than either of these variables alone. However, when 1- and 5-minute Apgar scores were combined with gestational age, the predictive value was slightly better than any of the four variables alone or in other possible combinations.
虽然阿氏评分能有效预测足月儿的死亡率(主要反映窒息情况),但早产儿中的干预变量使解读变得复杂。早产儿的正常生理状态(如肌张力降低)会降低评分,但可能对生存影响不大。因此,阿氏评分与足月儿和早产儿生存之间的关系有所不同。由于针对早产儿的研究较少,我们在748例低体重儿(500 - 1800克)中测试了阿氏评分以及出生体重和胎龄作为结局预测指标。我们的目的是评估1分钟和5分钟阿氏评分与生存之间的关系,并评估这四个变量的所有组合作为结局预测指标。单因素分析显示这四个变量中的每一个与生存之间都存在显著关系;然而,没有一个变量能解释超过32%的结局差异,因此没有一个因素可被视为生存的主要决定因素。逻辑回归分析表明了这四个变量与生存之间的相互关系。虽然两个阿氏评分都与生存相关,且独立于出生体重和胎龄的影响,但它们的预测能力略低于单独的这两个变量。然而,当1分钟和5分钟阿氏评分与胎龄相结合时预测价值略高于单独的四个变量中的任何一个或其他可能的组合。