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基于 Fisher 最优分段法的 1 至<18 岁人群心肌酶参考区间的划分。

Division of Myocardial Enzyme Reference Intervals in Population Aged 1 to <18 Years Old Based on Fisher's Optimal Segmentation Method.

机构信息

Department of Laboratory Medicine, First Hospital of Jilin University, Changchun 130021, China.

Department of Pediatrics, First Hospital of Jilin University, Changchun 130021, China.

出版信息

Comput Math Methods Med. 2020 Mar 31;2020:2013148. doi: 10.1155/2020/2013148. eCollection 2020.

Abstract

BACKGROUND

Reference interval (RI) research is to make it a concise, effective, and practical diagnostic tool. This study aimed to establish sex- and age-specific RI for myocardial enzyme activity in population aged 1-<18 years old in Changchun, China.

METHODS

Healthy subjects ( = 6,322, 1-<18 years old) were recruited from communities and schools. Aspartate aminotransferase (AST), lactate dehydrogenase (LDH), creatine kinase (CK), and creatine kinase isoenzyme (CKMB) were measured using an automatic biochemical analyzer. Fisher's optimal segmentation method was used to partition by including percentiles as impact factors, aiming at minimizing the sum of the squares of the total dispersion into groups as splitting sequence of ordered data.

RESULTS

AST decreased gradually and was partitioned as 1, 2∼<10 and 10∼<18 years old. LDH presented disparate descending rate among 1∼<4, 4∼<12, and 12∼<18 years old. CK stood quite stable with the same RI in all ages. CKMB began to differ at 6 years of age sexually and then remained stable during 6∼<14 years old for male while it continued to decline in female. Cardiac development was partitioned as 1∼<6, 6∼<13, and 13∼<18 years old using multiple percentiles from massive data that reflect characteristics of totality as impact factors.

CONCLUSIONS

Fisher's optimal segmentation method excelled for multidimensionality, continuity, and loop calculating as dealing with RIs for myocardial enzymes activity and cardiac development process despite limitations. In future, impact of partition on the overall interval should be delved into.

摘要

背景

参考区间(RI)研究旨在使其成为一种简洁、有效和实用的诊断工具。本研究旨在建立中国长春 1-<18 岁人群心肌酶活性的性别和年龄特异性 RI。

方法

从社区和学校招募健康受试者(n=6322,1-<18 岁)。使用自动生化分析仪测量天门冬氨酸氨基转移酶(AST)、乳酸脱氢酶(LDH)、肌酸激酶(CK)和肌酸激酶同工酶(CKMB)。Fisher 最优分段法用于按包含百分位数的影响因素进行分段,目的是将总离散度的平方和最小化到有序数据的分组中。

结果

AST 逐渐下降,分为 1、2∼<10 和 10∼<18 岁。LDH 在 1∼<4、4∼<12 和 12∼<18 岁之间呈现不同的下降率。CK 在所有年龄段的 RI 相同,表现出相当稳定的趋势。CKMB 在 6 岁时开始出现性别差异,然后在男性中 6∼<14 岁期间保持稳定,而在女性中继续下降。心脏发育分为 1∼<6、6∼<13 和 13∼<18 岁,使用大量数据中的多个百分位作为影响因素,反映了整体特征。

结论

Fisher 最优分段法在处理心肌酶活性和心脏发育过程的 RI 时,具有多维性、连续性和循环计算的优势,尽管存在局限性。未来,应深入研究分区对整体区间的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee01/7150721/7f14725dfe55/CMMM2020-2013148.001.jpg

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