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目的分析三种预评估方法在儿童血容量计算中的应用效果差异。方法选择10~12岁儿童57名为观察对象,分别采用体重估算法、Woodhead公式法和生物电阻抗法,对所有观察对象的血容量进行预评估,并对三种方法的评估效果进行比较。结果三种方法获取的血容量数据差异均无统计学意义(F=0.01、0.14和0.57,P>0.05)。Passing&Bablok regression回归分析显示,三种方法两两比较的均方差分别为85.88、122.83和111.24,回归方程分别为:y_((Woodhead))=577.356224+0.800525x_((BW));y_(BIA)=1091.590338+0.653032x_(BW);y_(BIA)=560.545257+0.843899x_(W(oodhead)),且均无明显的背离线性相关关系(P>0.05)。以体脂百分比(PBF)重新分组后,超重和肥胖组中三种方法获取的血容量数据差异存在统计学意义(P<0.05),其中应用体重法估算出的血容量最高,生物电阻抗法最低,而正常体重儿童组中三种方法的差异无统计学意义。结论三种方法在儿童血容量推算中均具有较好的一致性,其中体重法和公式法具有简便的优势,生物电阻抗法可能更适宜于体脂含量较高的儿童血容量推算。
Objective To analyze the effect of three pre-assessment methods in children’s blood volume calculation. Methods Fifty-seven children aged 10-12 years were selected as subjects. The body mass, Woodhead’s formula and bioelectrical impedance were used to evaluate the blood volume of all the subjects. The effects of the three methods were compared. Results There was no significant difference in blood volume data obtained by the three methods (F = 0.01, 0.14 and 0.57, P> 0.05). Passing & Bablok regression analysis showed that the mean square deviations of pairwise comparison of the three methods were 85.88, 122.83 and 111.24 respectively, the regression equations were: y_ (Woodhead) = 577.356224 + 0.800525x _ (BW); y_ (BIA) = (BW); y_ (BIA) = 560.545257 + 0.843899x_ (Wodohead)), and there was no obvious deviation from the linear correlation (P> 0.05). There were significant differences in blood volume data obtained from the three methods of overweight and obesity (P <0.05), and the highest volume of blood volume was estimated by the body weight method. The bioelectrical impedance method There was no significant difference among the three methods in the group of normal weight children. Conclusions The three methods all have good consistency in the calculation of children ’s blood volume, among which the weight method and the formula method have simple advantages. The bioelectrical impedance method may be more suitable for the calculation of the blood volume of children with higher body fat content.