[Biological variation and analytical performance specification study of erythrocyte and related parameters].

L Xu, H Lu, K Guo, X H Wang, X R Feng, C B Li, M T Peng
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Abstract

Objective: To study biological variation (BV) and analytical performance specifications (APS) of 15 erythrocyte and related parameters. Methods: Sixty healthy participants from Beijing Hospital were prospectively recruited for the study, from July to December, 2023, including 30 males [aged (41.3±11.9) years] and 30 females [aged (40.3±12.4) years]. The study was designed based on the Biological Variation Data Critical Appraisal Checklist and the characteristics of erythrocyte detection. Whole blood samples were collected 10 times at 2-week intervals during 20 weeks. All samples were tested in duplicate using Mindray BC-7500 hematology analyzer and its accompanying reagents. Within-subject biological variation (CVI) and between-subject biological variation (CVG) were estimated by the nested ANOVA method. The BV data in this study were compared with the BV data of the European Database of Biological Variation. APS, reference change value (RCV) and index of individuality (II) were calculated. Results: The CVI for 15 parameters ranged from 0.49% to 86.46%, and the CVI data for red cell distribution width (RDW)-CV, RDW-SD, reticulocyte (RET) percentage, RET count, reticulocyte hemoglobin content (RHE), medium fluorescence reticulocyte (MFR) and high fluorescence reticulocyte (HFR) were significantly higher in females than in males (all P<0.05). The CVG ranged from 1.27% to 100.79%, and the CVG data for HFR were significantly different between genders (P<0.05). The CVI data for red blood cell (RBC), hemoglobin (Hb), mean corpuscular volume (MCV), mean corpuscular hemoglobin concentration (MCHC) and RHE in this study were lower than those recommended by the European database. The derived indicators of most parameters were influenced by gender. The II values for all parameters were<1.4, where the II values of MCHC and HFR were between 0.6 and 1.4; the II values for the remaining 13 parameters were<0.6. Conclusions: A BV study protocol for erythrocyte parameters is designed. When the reference intervals differ between genders, BV data should be calculated separately and the lower BV data are recommended for calculating APS; the RCV should be set separately for each gender.

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[红细胞及相关参数的生物变异和分析性能规范研究]。
目的研究 15 项红细胞及相关参数的生物变异(BV)和分析性能指标(APS)。方法于 2023 年 7 月至 12 月在北京医院前瞻性招募 60 名健康参与者进行研究,其中男性 30 名[年龄(41.3±11.9)岁],女性 30 名[年龄(40.3±12.4)岁]。研究根据生物变异数据关键评估检查表和红细胞检测的特点进行设计。在 20 周内,每隔 2 周采集 10 次全血样本。所有样本均使用 Mindray BC-7500 血液分析仪及其配套试剂进行重复检测。采用嵌套方差分析法估算受试者内生物变异(CVI)和受试者间生物变异(CVG)。本研究中的生物变异数据与欧洲生物变异数据库的生物变异数据进行了比较。计算了 APS、参考变化值 (RCV) 和个体化指数 (II)。结果显示红细胞分布宽度(RDW)-CV、RDW-SD、网织红细胞(RET)百分比、RET 计数、网织红细胞血红蛋白含量(RHE)、中等荧光网织红细胞(MFR)和高荧光网织红细胞(HFR)的 CVI 数据在女性中明显高于男性(所有 PCVG 在 1.本研究中红细胞(RBC)、血红蛋白(Hb)、平均血球容积(MCV)、平均血红蛋白浓度(MCHC)和 RHE 的 PCVI 数据均低于欧洲数据库推荐的数据。大多数参数的衍生指标受性别影响。所有参数的 II 值均为结论:设计了红细胞参数的 BV 研究方案。当不同性别的参考区间不同时,应分别计算 BV 数据,并建议使用较低的 BV 数据计算 APS;应分别为不同性别设定 RCV。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Zhonghua yi xue za zhi
Zhonghua yi xue za zhi Medicine-Medicine (all)
CiteScore
0.80
自引率
0.00%
发文量
400
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