百分位
参考值
医学
白细胞
置信区间
人口
参考数据
预测区间
区间(图论)
统计
内科学
数学
计算机科学
数据挖掘
环境卫生
组合数学
作者
Ingo Mrosewski,Tobias Dähn,Jörg Hehde,Elena Kalinowski,I Lindner,Thea Maria Meyer,Michael Olschinsky-Szermer,Jana Pahl,Monika Puls,Kristin Sachse,Rafael Switkowski
标识
DOI:10.1515/cclm-2022-1265
摘要
Establishing direct reference intervals for pediatric patients is a costly, challenging, and time-consuming enterprise. Indirectly established reference intervals can help to ameliorate this situation. It was our objective to establish population-specific reference intervals for automated white blood cell differentials via data mining and non-parametric percentile method.Blood counts and automated white blood cell differentials of patients aged 0 days to 18 years, performed from the 1st of January 2018 until the 30th of June 2022, were identified in our laboratory information system. Reference intervals were established in accordance with IFCC and CLSI recommendations as well as the propositions by Haeckel et al.Initially, 47,173 blood counts on our SYSMEX XN-9000 were identified. 11,707 data sets were excluded, leaving 35,466 sample sets for analysis. Of these, 17,616 contained automated white blood cell differentials. Due to insufficient patient numbers, no reference intervals for automated white blood cell differentials could be established for children aged <7 months. In comparison to the corresponding reference intervals published by Herklotz et al., reference intervals determined by us showed relevant differences throughout all age groups.The combination of non-parametric percentile method and the propositions by Haeckel et al. utilizing conscientious data mining appears to be potent alternative to direct reference interval determination.
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