Department of Nursing, Ashikaga Institute of Technology, 268-1 Ohmae-cho, Ashikaga, Tochigi 326-8558, Japan.
Department of Laboratory Sciences, Faculty of Health Sciences, Yamaguchi University Graduate School of Medicine, 1-1-1 Minamikogushi, Ube 755-8505, Japan.
Clin Chim Acta. 2015 Jul 20;447:105-14. doi: 10.1016/j.cca.2015.04.037. Epub 2015 May 15.
With nationwide standardization of laboratory tests among institutions for health screening in Japan, common reference intervals (RIs) were derived from records of 1,500,000 health check attendees.
Targets were 20 basic laboratory tests including body mass index (BMI) and systolic and diastolic blood pressures (SBP, DBP). Individuals fulfilling the following strict criteria were chosen: SBP<130, DBP<85mmHg, BMI<25kg/m(2), non-smoking, ethanol consumption<20g/day and under no mediation with no remarkable current/past illnesses. The latent abnormal values exclusion (LAVE) method was applied to ensure fully normal results. RIs were derived by parametric method using modified Box-Cox power transformation.
Among all attendees, 23% fulfilled the criteria. Application of the LAVE method further reduced the dataset by 40%-50%. Age-related charts of test results differed greatly between genders in almost all tests. Comparison of derived RIs with clinical decision limits (CDLs) revealed that the upper limits of RIs differed from CDLs according to gender and age.
Implementation of gender and age-specific RIs derived from individuals with fully normal health attributes will (1) enable appropriate interpretation of test results in health screening and (2) promote judicious application of CDLs for therapeutic intervention, taking into account gender, age and other health attributes.
随着日本医疗机构健康筛查实验室检测的全国标准化,从 150 万名健康检查参与者的记录中得出了常见的参考区间(RI)。
目标是 20 项基本实验室测试,包括体重指数(BMI)和收缩压和舒张压(SBP、DBP)。选择符合以下严格标准的个体:SBP<130mmHg、DBP<85mmHg、BMI<25kg/m(2)、不吸烟、乙醇摄入量<20g/天且无明显当前/过去疾病的药物治疗。应用潜在异常值排除(LAVE)方法以确保完全正常的结果。RI 通过使用修正的 Box-Cox 幂变换的参数方法得出。
在所有参与者中,23%符合标准。应用 LAVE 方法进一步将数据集减少了 40%-50%。几乎所有测试中,性别之间的测试结果的年龄相关图表差异很大。与临床决策界限(CDL)相比,RI 的推导结果显示 RI 的上限根据性别和年龄与 CDL 不同。
实施基于完全正常健康特征的个体的性别和年龄特异性 RI 将:(1)能够适当解释健康筛查中的测试结果;(2)考虑到性别、年龄和其他健康特征,促进对治疗干预的 CDL 的明智应用。