机构：[1]Department of Clinical Laboratory Center, Beijing Children’s Hospital, Capital Medical University, National Center for Children Health, No. 56 Nanlishi Road, Beijing, 100045, P.R. China医技科室职能科室临床流行病与循证医学中心临床研究中心首都医科大学附属北京儿童医院[2]Center for Clinical Epidemiology and Evidence-Based Medicine, Beijing Children’s Hospital, Capital Medical University, National Center for Children Health, Beijing, P.R. China职能科室临床流行病与循证医学中心首都医科大学附属北京儿童医院[3]Beijing Key Laboratory for Pediatric Diseases of Otolaryngology, Head and Neck, Surgery, Beijing Children’s Hospital, Capital Medical University, National Center for Children Health, No. 56 Nanlishi Road, Beijing, 100045, P.R. China职能科室临床流行病与循证医学中心首都医科大学附属北京儿童医院[4]Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, P.R. China
Background: We describe an algorithm to determine age-partitioned reference intervals (RIs) exemplified for creatinine using data collection from the clinical laboratory database. Methods: The data were acquired from the test results of creatinine of 164,710 outpatients aged <18 years in Beijing Children's Hospital laboratories' databases between January 2016 and December 2016. The tendency of serum creatinine with age was examined visually using box plot by gender first. The age subgroup was divided automatically by the decision tree method. Subsequently, the statistical tests of the difference between subgroups were performed by Harris-Boyd and Lahti methods. Results: A total of 136,546 samples after data cleaning were analyzed to explore the partition of age group for scrum creatinine from birth to 17 years old. The suggested age partitioning of RIs for creatinine by the decision tree method were for eight subgroups. The difference between age subgroups was demonstrated to be statistically significant by Harris-Boyd and Lahti methods. In addition, the results of age partitioning for RIs estimation were similar to the suggested age partitioning by the Canadian Laboratory Initiative in Pediatric Reference Intervals study. Lastly, a suggested algorithm was developed to provide potential methodological considerations on age partitioning for RIs estimation. Conclusions: Appropriate age partitioning is very important for establishing more accurate RIs. The procedure to explore the age partitioning using clinical laboratory data was developed and evaluated in this study, and will provide more opinions for designing research on establishment of RIs.
基金：
National Health and Family Planning Commission of China
第一作者机构：[2]Center for Clinical Epidemiology and Evidence-Based Medicine, Beijing Children’s Hospital, Capital Medical University, National Center for Children Health, Beijing, P.R. China
共同第一作者：
通讯作者：
通讯机构：[1]Department of Clinical Laboratory Center, Beijing Children’s Hospital, Capital Medical University, National Center for Children Health, No. 56 Nanlishi Road, Beijing, 100045, P.R. China[2]Center for Clinical Epidemiology and Evidence-Based Medicine, Beijing Children’s Hospital, Capital Medical University, National Center for Children Health, Beijing, P.R. China[3]Beijing Key Laboratory for Pediatric Diseases of Otolaryngology, Head and Neck, Surgery, Beijing Children’s Hospital, Capital Medical University, National Center for Children Health, No. 56 Nanlishi Road, Beijing, 100045, P.R. China
推荐引用方式(GB/T 7714)：
Peng Xiaoxia,Lv Yaqi,Feng Guoshuang,et al.Algorithm on age partitioning for estimation of reference intervals using clinical laboratory database exemplified with plasma creatinine[J].CLINICAL CHEMISTRY AND LABORATORY MEDICINE.2018,56(9):1514-1523.doi:10.1515/cclm-2017-1095.
APA：
Peng, Xiaoxia,Lv, Yaqi,Feng, Guoshuang,Peng, Yaguang,Li, Qiliang...&Ni, Xin.(2018).Algorithm on age partitioning for estimation of reference intervals using clinical laboratory database exemplified with plasma creatinine.CLINICAL CHEMISTRY AND LABORATORY MEDICINE,56,(9)
MLA：
Peng, Xiaoxia,et al."Algorithm on age partitioning for estimation of reference intervals using clinical laboratory database exemplified with plasma creatinine".CLINICAL CHEMISTRY AND LABORATORY MEDICINE 56..9(2018):1514-1523
