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Within-subject biological variation estimates using an indirect data mining strategy. Spanish multicenter pilot study (BiVaBiDa)

  • Fernando Marqués-García EMAIL logo , Ana Nieto-Librero , Nerea González-García , Purificación Galindo-Villardón , Luisa María Martínez-Sánchez , Xavier Tejedor-Ganduxé , Beatriz Boned , María Muñoz-Calero , Jose-Vicente García-Lario , Elisabet González-Lao , Ricardo González-Tarancón , M. Pilar Fernández-Fernández , Maria Carmen Perich , Margarida Simón , Jorge Díaz-Garzón and Pilar Fernández-Calle

Abstract

Objectives

The estimates of biological variation (BV) have traditionally been determined using direct methods, which present limitations. In response to this issue, two papers have been published addressing these limitations by employing indirect methods. Here, we present a new procedure, based on indirect methods that analyses data collected within a multicenter pilot study. Using this method, we obtain CVI estimates and calculate confidence intervals (CI), using the EFLM-BVD CVI estimates as gold standard for comparison.

Methods

Data were collected over a 18-month period for 7 measurands, from 3 Spanish hospitals; inclusion criteria: patients 18–75 years with more than two determinations. For each measurand, four different strategies were carried out based on the coefficient of variation ratio (rCoeV) and based on the use of the bootstrap method (OS1, RS2 and RS3). RS2 and RS3 use symmetry reference change value (RCV) to clean database.

Results

RS2 and RS3 had the best correlation for the CVI estimates with respect to EFLM-BVD. RS2 used the symmetric RCV value without eliminating outliers, while RS3 combined RCV and outliers. When using the rCoeV and OS1 strategies, an overestimation of the CVI value was obtained.

Conclusions

Our study presents a new strategy for obtaining robust CVI estimates using an indirect method together with the value of symmetric RCV to select the target population. The CVI estimates obtained show a good correlation with those published in the EFLM-BVD database. Furthermore, our strategy can resolve some of the limitations encountered when using direct methods such as calculating confidence intervals.


Corresponding author: Fernando Marqués-García, PhD, Clinical Biochemistry Department, Metropolitan North Clinical Laboratory (LUMN), Germans Trias i Pujol Universitary Hospital, Badalona, Barcelona, Spain; and Spanish Society of Laboratory Medicine (SEQC), Analytical Quality Commission, Barcelona, Spain, Phone: +34934651200, E-mail:

  1. Research funding: None declared.

  2. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  3. Competing interests: Authors state no conflict of interest.

  4. Informed consent: Not applicable.

  5. Ethical approval: This protocol was approved by the Institutional Ethical Review board of Germans Trias i Pujol University Hospital (PI-21-034) in agreement with the World Medical Association Declaration of Helsinki, the Spanish law, and by the Ethical Board/Regional Ethics Committee of each Center.

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Supplementary Material

The online version of this article offers supplementary material (https://doi.org/10.1515/cclm-2021-0863).


Received: 2021-08-02
Accepted: 2022-08-16
Published Online: 2022-08-29
Published in Print: 2022-10-26

© 2022 Walter de Gruyter GmbH, Berlin/Boston

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