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有人建议用预产期(EDC)预测患病新生儿的住院时间。作者发现这种方法并不可靠,而设计了下面的研究,得出了一个预测住院时间(LOS)的数学模型。作者复习了393名患病新生儿的住院记录,用多元直线回归进行了统计学分析。影响统计学意义的因素是:出生体重(BW),胎龄(GA),以及综合呼吸评分(RES)。RES 用以定量表示出生时呼吸系统疾病程度。通过这一模型,我们得出了下列公式:10g
It has been suggested that the expected time of birth (EDC) be used to predict the length of hospital stay for the affected newborn. The authors found this method to be unreliable and designed the following study to arrive at a mathematical model predicting hospital stay (LOS). The authors reviewed the hospital records of 393 newborns affected and performed statistical analysis using multiple linear regression. Factors that affect statistical significance are: birth weight (BW), gestational age (GA), and comprehensive respiratory rate (RES). RES is used to quantify the degree of respiratory disease at birth. Through this model, we come up with the following formula: 10g