Abstract：
BACKGROUND: Establishing adequate reference intervals (RIs) for vitamins A and E is essential for diagnosing and preventing deficiencies. Due to the current boom in data mining and its easy applicability, more laboratories are establishing RIs using indirect methods. Our study aims to obtain RIs using four indirect data-mining procedures (Bhattacharya, Hoffmann, Kosmic, and RefineR) for vitamins A and E.
METHODS: 8943 individuals were collected to establish the RIs. After using different data cleaning steps and checking whether these data should be divided according to age and gender based on multiple linear regression and variance component analyses, indirect RIs were calculated using specific Excel spreadsheets or R-packages software.
RESULTS: A total of 2004 records were eligible. For vitamin A, the RIs obtained were (1.11 - 2.68) µmol/L, (1.13 - 2.70) µmol/L, (1.13 - 2.71) µmol/L, and (1.17 - 2.66) µmol/L using the Bhattacharya, Hoffmann, Kosmic and RefineR approaches, respectively. For vitamin E, these intervals were (17.3 - 49.9) µmol/L (Bhattacharya), (17.3 - 48.9) µmol/L (Hoffmann), (19.6 - 50.3) µmol/L (Kosmic), and (19.4 - 50.9) µmol/L (RefineR). In all cases, the RIs were comparable.
CONCLUSIONS: Suitable RIs for vitamins A and E were calculated using four indirect methods that are suitable and adapted to our population\'s demographic characteristics.
METHODS: 8943 individuals were collected to establish the RIs. After using different data cleaning steps and checking whether these data should be divided according to age and gender based on multiple linear regression and variance component analyses, indirect RIs were calculated using specific Excel spreadsheets or R-packages software.
RESULTS: A total of 2004 records were eligible. For vitamin A, the RIs obtained were (1.11 - 2.68) µmol/L, (1.13 - 2.70) µmol/L, (1.13 - 2.71) µmol/L, and (1.17 - 2.66) µmol/L using the Bhattacharya, Hoffmann, Kosmic and RefineR approaches, respectively. For vitamin E, these intervals were (17.3 - 49.9) µmol/L (Bhattacharya), (17.3 - 48.9) µmol/L (Hoffmann), (19.6 - 50.3) µmol/L (Kosmic), and (19.4 - 50.9) µmol/L (RefineR). In all cases, the RIs were comparable.
CONCLUSIONS: Suitable RIs for vitamins A and E were calculated using four indirect methods that are suitable and adapted to our population\'s demographic characteristics.
摘要：
背景：建立足够的维生素A和E的参考间隔（RI）对于诊断和预防缺乏至关重要。由于当前数据挖掘的蓬勃发展及其简单的适用性，更多的实验室正在使用间接方法建立RIs。我们的研究旨在使用四个间接数据挖掘程序(Bhattacharya，霍夫曼,Kosmic,和RefineR）用于维生素A和E。
方法：收集8943个个体以建立RI。在使用不同的数据清洗步骤，并根据多元线性回归和方差成分分析检查这些数据是否应按年龄和性别进行划分后，使用特定的Excel电子表格或R软件包软件计算间接RI。
结果：总共有2004年的记录合格。对于维生素A，获得的RI为(1.11-2.68)μmol/L，(1.13-2.70)µmol/L,(1.13-2.71)µmol/L,和（1.17-2.66）µmol/L使用Bhattacharya，霍夫曼,Kosmic和RefineR方法，分别。对于维生素E，这些间隔为（17.3-49.9）µmol/L（Bhattacharya），（17.3-48.9）µmol/L（霍夫曼），（19.6-50.3）µmol/L（Kosmic），和(19.4-50.9)µmol/L(RefineR)。在所有情况下,RIs具有可比性。
结论：使用四种间接方法计算了维生素A和E的合适RIs，这些方法适用于我们人群的人口统计学特征。
方法：收集8943个个体以建立RI。在使用不同的数据清洗步骤，并根据多元线性回归和方差成分分析检查这些数据是否应按年龄和性别进行划分后，使用特定的Excel电子表格或R软件包软件计算间接RI。
结果：总共有2004年的记录合格。对于维生素A，获得的RI为(1.11-2.68)μmol/L，(1.13-2.70)µmol/L,(1.13-2.71)µmol/L,和（1.17-2.66）µmol/L使用Bhattacharya，霍夫曼,Kosmic和RefineR方法，分别。对于维生素E，这些间隔为（17.3-49.9）µmol/L（Bhattacharya），（17.3-48.9）µmol/L（霍夫曼），（19.6-50.3）µmol/L（Kosmic），和(19.4-50.9)µmol/L(RefineR)。在所有情况下,RIs具有可比性。
结论：使用四种间接方法计算了维生素A和E的合适RIs，这些方法适用于我们人群的人口统计学特征。
