Harris W S, Held S J, Dujovne C A
Department of Medicine, University of Kansas Medical Center, Kansas City 66160-7418, USA.
J Cardiovasc Risk. 1995 Aug;2(4):359-65.
Dietary stability and compliance are crucial to the proper interpretation of the results of clinical trials evaluating the efficacy of lipid-lowering drugs since dietary variations can obscure the true effects of the drugs being tested. Documentation of compliance to National Cholesterol Education Program (NCEP) dietary guidelines can be difficult to obtain, however, especially since many diets may meet one or two but not all the criteria for a Step 1 or 2 classification. The purpose of this study was to compare the ability of two diet scoring systems (the Food Record Rating [FRR] and the Ratio of Ingested Saturated fat and Cholesterol to Calories [RISCC]) to classify these ambiguous diets.
Three-day diet diaries (n = 622) were obtained from patients participating in a multicenter, clinical trial testing the lipid-lowering effects of a fiber supplement. The FRR score of each diary was calculated; the diary was then computer analyzed for nutrient composition, and the RISCC score was calculated. Based upon the NCEP dietary criteria for total fat, saturated fat, and cholesterol each diet was classified as either Step 1 or Step 2. Diets exceeding Step 1 criteria were classified as typical American (Step 0). Diets not meeting all 3 criteria for any given Step were considered 'NCEP unclassifiable'. Using the FRR and RISCC scores of only the NCEP-classifiable diets, the optimal RISCC and FRR cutoff points to distinguish between Step 0 and 1 diets and Step 1 and 2 diets were determined.
Only 50% of the diets were NCEP-classifiable. Using these diets, a RISCC of 20 best distinguished a Step 0 from a Step 1 diet, and 13 segregated Step 1 from 2 diets. The FRR cutoff points were 14 and 8, respectively. Using these values, the RISCC was able correctly to classify 92-97% of the diets, whereas the FRR correctly classified only 73-80%. Variability of scores within each Step was twice as high for the FRR as for the RISCC. The FRR was more biased by total kilocalories than was the RISCC.
We conclude that the RISCC scoring system was more accurate and precise than the FRR system for diet classification, and was a superior tool for classifying the ambiguous diets. Since the RISCC also requires (and therefore provides) quantitative nutrient data and the FRR does not, the former is a better dietary monitoring tool for clinical trials.
饮食稳定性和依从性对于正确解读评估降脂药物疗效的临床试验结果至关重要,因为饮食变化可能掩盖所测试药物的真实效果。然而,获取符合美国国家胆固醇教育计划(NCEP)饮食指南的依从性记录可能很困难,特别是因为许多饮食可能符合一两条但并非所有1级或2级分类标准。本研究的目的是比较两种饮食评分系统(食物记录评分[FRR]和摄入饱和脂肪与胆固醇热量比[RISCC])对这些不明确饮食进行分类的能力。
从参与一项测试纤维补充剂降脂效果的多中心临床试验的患者中获取了为期三天的饮食日记(n = 622)。计算每份日记的FRR评分;然后对日记进行计算机营养成分分析,并计算RISCC评分。根据NCEP关于总脂肪、饱和脂肪和胆固醇的饮食标准,将每种饮食分类为1级或2级。超过1级标准的饮食分类为典型美国饮食(0级)。不符合任何给定级别所有三项标准的饮食被视为“NCEP无法分类”。仅使用NCEP可分类饮食的FRR和RISCC评分,确定区分0级和1级饮食以及1级和2级饮食的最佳RISCC和FRR截止点。
只有50%的饮食可被NCEP分类。使用这些饮食,RISCC为20时最能区分0级和1级饮食,为13时可区分1级和2级饮食。FRR截止点分别为14和8。使用这些值,RISCC能够正确分类92% - 97%的饮食,而FRR仅能正确分类73% - 80%。每个级别内FRR评分的变异性是RISCC的两倍。FRR比RISCC更容易受到总千卡数的影响。
我们得出结论,对于饮食分类,RISCC评分系统比FRR系统更准确、更精确,是对不明确饮食进行分类的更优工具。由于RISCC还需要(并因此提供)定量营养数据而FRR不需要,前者是临床试验中更好的饮食监测工具。