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柏林和勃兰登堡地区儿科患者自动白细胞分类的间接确定参考区间。

Indirectly determined reference intervals for automated white blood cell differentials of pediatric patients in Berlin and Brandenburg.

机构信息

Department of Laboratory Medicine, MDI Limbach Berlin GmbH, Berlin, Berlin, Germany.

出版信息

Clin Chem Lab Med. 2023 Jan 23;61(6):1116-1122. doi: 10.1515/cclm-2022-1265. Print 2023 May 25.

DOI:10.1515/cclm-2022-1265
PMID:36669090
Abstract

OBJECTIVES

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.

METHODS

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.

RESULTS

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.

CONCLUSIONS

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.

摘要

目的

为儿科患者建立直接参考区间是一项昂贵、具有挑战性且耗时的工作。间接建立的参考区间可以帮助改善这种情况。我们的目标是通过数据挖掘和非参数百分位数方法为自动化白细胞分类建立特定人群的参考区间。

方法

从 2018 年 1 月 1 日至 2022 年 6 月 30 日,在我们的实验室信息系统中确定了年龄在 0 天至 18 岁的患者的血液计数和自动化白细胞分类计数。参考区间的建立符合 IFCC 和 CLSI 建议以及 Haeckel 等人的建议。

结果

最初,我们在 SYSMEX XN-9000 上确定了 47173 次血液计数。排除了 11707 个数据集,留下 35466 个样本集进行分析。其中,17616 个包含自动化白细胞分类计数。由于患者数量不足,无法为 <7 个月的儿童建立自动化白细胞分类计数的参考区间。与 Herklotz 等人发表的相应参考区间相比,我们确定的参考区间在所有年龄组中均存在相关差异。

结论

非参数百分位数方法与 Haeckel 等人的建议相结合,利用认真的数据挖掘,似乎是直接参考区间确定的有效替代方法。

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