Arzideh Farhad, Wosniok Werner, Gurr Eberhard, Hinsch Wilhelm, Schumann Gerhard, Weinstock Nicodemo, Haeckel Rainer
Institut für Statistik, Universität Bremen, Bremen, Germany.
Clin Chem Lab Med. 2007;45(8):1043-57. doi: 10.1515/CCLM.2007.250.
The current recommendations for establishing intra-laboratory reference limits (RLs) cannot be fulfilled by most laboratories because of the expense involved. In the current study, a bimodal method was developed to derive RLs from data stored in a laboratory information system without any assumption concerning the distribution of the diseased subgroup.
A smoothed kernel density function (D(mix)) was estimated for the distribution of combined data for non-diseased and diseased adult subjects. It was assumed that the "central" part of the distribution represents the non-diseased population, which was defined and used to estimate a Gaussian distribution of either the original values or Box-Cox transformed data. This normal distribution was now considered the distribution of the non-diseased subgroup (D(nd)). Percentiles were calculated to obtain retrospective RLs. The density function of the diseased subgroup (D(d)) was calculated by subtracting the non-diseased density function from D(mix) (D(d)=D(mix)-D(nd)). The intersection point of the D(nd) and D(d) curves identified the RL with the highest diagnostic efficiency.
The model was applied to catalytic activity concentrations of several enzymes with data from different laboratories. The RLs obtained were similar to recently published consensus values. Differences between laboratories were small but significant. Gender stratification was necessary for alanine aminotransferase (ALT), aspartate aminotransferase (AST), and gamma-glutymaltransferse (gamma-GT), not significant for lipase and amylase and inconsistent among the laboratories for alkaline phosphatase (AP) and lactate dehydrogenase (LDH). Age stratification was only tested for two groups (18-49 and >or=50 years) and was significant for AST (females only), gamma-GT and lipase, not significant for amylase and inconsistent for AP, LDH and ALT. For gamma-GT, further stratification for age in decades was necessary for males. Creatine kinase MB (CK-MB) values were not stratified owing to the low number of data available.
Retrospective RLs derived from intra-laboratory data pools for the catalytic activity concentration of enzymes using a modified procedure plausibly agreed with published consensus values. However, most RLs varied significantly among laboratories, thus supporting the "old" plea for intra-laboratory RLs.
由于涉及费用问题,大多数实验室无法实现当前建立实验室内参考限值(RLs)的建议。在本研究中,开发了一种双峰方法,可从实验室信息系统中存储的数据得出参考限值,而无需对患病亚组的分布做任何假设。
对非患病和患病成年受试者的合并数据分布估计一个平滑核密度函数(D(mix))。假定分布的“中心”部分代表非患病人群,对其进行定义并用于估计原始值或经Box-Cox变换数据的高斯分布。现在将此正态分布视为非患病亚组的分布(D(nd))。计算百分位数以获得回顾性参考限值。通过从D(mix)中减去非患病密度函数来计算患病亚组的密度函数(D(d)=D(mix)-D(nd))。D(nd)和D(d)曲线的交点确定具有最高诊断效率的参考限值。
该模型应用于来自不同实验室的几种酶的催化活性浓度数据。获得的参考限值与最近公布的共识值相似。各实验室之间的差异虽小但具有显著性。对于丙氨酸氨基转移酶(ALT)、天冬氨酸氨基转移酶(AST)和γ-谷氨酰转移酶(γ-GT),性别分层是必要的,对于脂肪酶和淀粉酶则不显著,而对于碱性磷酸酶(AP)和乳酸脱氢酶(LDH),各实验室的情况不一致。年龄分层仅对两组(18 - 49岁和≥50岁)进行了测试,对AST(仅女性)、γ-GT和脂肪酶具有显著性,对淀粉酶不显著,对AP、LDH和ALT则不一致。对于γ-GT,男性还需要按十年进行进一步年龄分层。由于可用数据量少,肌酸激酶同工酶(CK-MB)值未进行分层。
使用改进程序从实验室内酶催化活性浓度数据池中得出的回顾性参考限值与公布的共识值合理地一致。然而,大多数参考限值在各实验室之间差异显著,从而支持了对实验室内参考限值的“旧”诉求。