Remer T, Manz F
Research Institute of Child Nutrition, Dortmund, Germany.
J Am Diet Assoc. 1995 Jul;95(7):791-7. doi: 10.1016/S0002-8223(95)00219-7.
The purpose of this study was to calculate the potential renal acid load (PRAL) of selected, frequently consumed foods. A physiologically based calculation model was recently validated to yield an appropriate estimate of renal net acid excretion (NAE); the model depends primarily on nutrient intake data. When nutrient data from actual food composition tables were used, the calculation model yielded PRAL values that ranged from an average maximum of 23.6 mEq/100 g for certain hard cheeses over 0 mEq/100 g for fats and oils to an average minimum of approximately -3 mEq/100 g for fruits and fruit juices and vegetables. By means of these PRAL data (summed according to the amounts of foods and beverages consumed daily and by an estimate of excretion of organic acids [based on body size]), the daily NAE can be calculated. This calculation methodology, primarily based on PRAL, allows an appropriate prediction of the effects of diet on the acidity of urine. For practical applicability in dietetic prevention of recurrent urolithiasis or in other fields of dietetics, the additionally determined correlation (r = .83; P < .001) between NAE and urine pH can be used to ascertain NAE target values for a desired urine pH modification.
本研究的目的是计算某些经常食用的食物的潜在肾酸负荷（PRAL）。最近验证了一种基于生理学的计算模型，以得出对肾净酸排泄（NAE）的适当估计；该模型主要依赖于营养摄入数据。当使用实际食物成分表中的营养数据时，计算模型得出的PRAL值范围从某些硬奶酪的平均最大值23.6 mEq/100 g到油脂的0 mEq/100 g，再到水果、果汁和蔬菜的平均最小值约-3 mEq/100 g。借助这些PRAL数据（根据每日食用的食物和饮料量求和，并通过估计有机酸排泄量[基于体型]），可以计算每日NAE。这种主要基于PRAL的计算方法能够对饮食对尿液酸度的影响进行适当预测。为了在复发性尿路结石的饮食预防或其他饮食领域中实际应用，NAE与尿液pH值之间额外确定的相关性（r = 0.83；P < 0.001）可用于确定所需尿液pH值改变的NAE目标值。
