Boehm K A, Helms R A, Storm M C
Department of Clinical Pharmacy, University of Tennessee, Memphis.
JPEN J Parenter Enteral Nutr. 1994 Mar-Apr;18(2):172-6. doi: 10.1177/0148607194018002172.
Nitrogen excretion is a useful measurement for determining efficiency of protein utilization. Knowledge of nitrogen losses is especially important in the treatment of stressed, postsurgical, or catabolic patients, in whom optimizing the amount of nitrogen intake in the diet may spare visceral and somatic proteins and encourage anabolism. Many methods have been used to estimate total urinary nitrogen (TUN) in different patient populations. Urinary urea nitrogen (UUN) values are routinely adjusted and used by investigators who are not able to measure TUN directly by either Kjeldahl or pyrochemoluminescent methods. The rationale for the use of adjusted UUN concentrations to predict TUN is based on adult experiences. No similar experience in pediatrics has been published. We have compared TUN with adjusted UUN in a study of 250 urine samples from pediatric patients (n = 34) and normal pediatric volunteers (n = 109). Our findings suggest that adjusted UUN (determined by previously established formulas) may be of limited use in estimating TUN in neonates, infants, and critically ill pediatric patients; however, adjusted UUN may be useful in approximating TUN in healthy school-aged children. Good correlations were found between UUN and TUN for critically ill children and postsurgical neonates and infants, suggesting that these newly described regression equations (once validated) may be useful in predicting TUN from a measured UUN.
氮排泄是衡量蛋白质利用效率的一项有用指标。了解氮损失对于治疗应激状态、术后或分解代谢的患者尤为重要,在这类患者中,优化饮食中的氮摄入量可节省内脏和体细胞蛋白,并促进合成代谢。许多方法已被用于估算不同患者群体的尿总氮(TUN)。对于无法通过凯氏定氮法或热化学发光法直接测量TUN的研究人员,尿尿素氮(UUN)值通常会经过调整后使用。使用调整后的UUN浓度来预测TUN的理论依据基于成人的经验。儿科领域尚未发表过类似的经验。在一项对250份儿科患者(n = 34)和正常儿科志愿者(n = 109)尿液样本的研究中,我们将TUN与调整后的UUN进行了比较。我们的研究结果表明,调整后的UUN(由先前建立的公式确定)在估算新生儿、婴儿和重症儿科患者的TUN时可能用途有限;然而,调整后的UUN在估算健康学龄儿童的TUN时可能有用。在重症儿童以及术后新生儿和婴儿中,UUN与TUN之间发现了良好的相关性,这表明这些新描述的回归方程(一旦得到验证)可能有助于根据测得的UUN来预测TUN。