已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Long-term biological variation estimates of 13 hematological parameters in healthy Chinese subjects

百分位 医学 方差分析 统计 离群值 人口 变异系数 数学 环境卫生
作者
Chenbin Li,Meng Peng,Jian‐Zhong Wu,Zhongli Du,Hong Lü,Wenbin Zhou
出处
期刊:Clinical Chemistry and Laboratory Medicine [De Gruyter]
卷期号:58 (8): 1282-1290 被引量:3
标识
DOI:10.1515/cclm-2019-1141
摘要

Abstract Background The complete blood count (CBC) is a basic test routinely ordered by physicians as a part of initial diagnostic work-up on their patients. To ensure safe clinical application of the CBC, reliable biological variation (BV) data are needed to establish analytical performance specifications. Our aim was to define the BV of CBC parameters using a rigorous protocol that is compliant with the Biological Variation Data Critical Appraisal Checklist (BIVAC) provided by the European Federation of Clinical Chemistry and Laboratory Medicine. Methods Blood samples drawn from 41 healthy Chinese subjects (22 females and 19 males; 23–59 years of age) once monthly for 6 consecutive months were analyzed using an ABX Pentra 80 instrument. The instrument was precisely calibrated. All samples were analyzed in duplicate for 13 CBC parameters. The data were assessed for outliers, normality, and variance homogeneity prior to nested ANOVA. Gender-stratified within-subject (CV I ) and between-subject (CV G ) BV estimates were calculated. Results The number of remaining data for each subject was 442–484 after removing outliers. No significant differences existed between female/male CV I estimates. Except for leukocytes, neutrophils, and lymphocytes, the mean values of 10 parameters differed significantly between genders, rendering partitioning of CV G data between genders. No significant differences were detected between most BV estimates and recently published estimates representing a Europid population. Conclusions Most BV estimates in BIVAC-compliant studies are similar. The turnover time of blood cells and age distribution of participants should be considered in a CBC BV study. Our study will contribute to global BV estimates and future studies.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
xvzhenyuan发布了新的文献求助10
2秒前
贝湾完成签到,获得积分10
2秒前
3秒前
4秒前
朴实寻真发布了新的文献求助10
5秒前
ShellyHan发布了新的文献求助10
5秒前
potato0mud完成签到 ,获得积分10
7秒前
7秒前
桐桐应助叶颤采纳,获得10
8秒前
猫了个喵应助幸福大白采纳,获得10
9秒前
liyiyuan完成签到,获得积分10
10秒前
MechaniKer发布了新的文献求助10
10秒前
Simon完成签到,获得积分10
11秒前
小芮完成签到,获得积分10
11秒前
小宋应助yhf4356采纳,获得10
11秒前
11秒前
田様应助我不看月亮采纳,获得10
13秒前
赘婿应助小桀采纳,获得10
14秒前
中中发布了新的文献求助10
14秒前
今天喝咖啡吗完成签到,获得积分10
16秒前
林平之完成签到,获得积分10
20秒前
回忆里的大西瓜完成签到 ,获得积分10
20秒前
Lucas应助ShellyHan采纳,获得80
21秒前
Zn应助Elva采纳,获得10
21秒前
Ava应助郇郇采纳,获得10
23秒前
隐形书白完成签到,获得积分10
23秒前
24秒前
25秒前
牛牛关注了科研通微信公众号
27秒前
隐形书白发布了新的文献求助10
27秒前
小药丸完成签到,获得积分10
27秒前
28秒前
lilili2060发布了新的文献求助30
28秒前
科研通AI5应助焦糖玛奇朵采纳,获得10
28秒前
29秒前
yyxhahaha完成签到,获得积分10
30秒前
科研通AI2S应助bingbing采纳,获得10
30秒前
桐桐应助壹个玉米吃不饱采纳,获得10
30秒前
31秒前
ximei发布了新的文献求助10
33秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Mechanistic Modeling of Gas-Liquid Two-Phase Flow in Pipes 2500
Structural Load Modelling and Combination for Performance and Safety Evaluation 800
Conference Record, IAS Annual Meeting 1977 610
Interest Rate Modeling. Volume 3: Products and Risk Management 600
Interest Rate Modeling. Volume 2: Term Structure Models 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3555408
求助须知:如何正确求助?哪些是违规求助? 3131038
关于积分的说明 9389777
捐赠科研通 2830505
什么是DOI,文献DOI怎么找? 1556071
邀请新用户注册赠送积分活动 726445
科研通“疑难数据库(出版商)”最低求助积分说明 715750