PubMed Health⌕ Search

Biomedical subjects

C Ricós

Publications and source records attributed to C Ricós.

At least 19 recordsLinked to original sources
PubMed2000

Are equally spaced specimen collections necessary to assess biological variation? Evidence from renal transplant recipients.

The established method for determining the components of biological variation (BV) requires equispaced time intervals between samplings. In a previous study, we determined BV in renal post transplantation patients, taking advantage of the samples obtained within their clinical treatment protocol (not necessarily equispaced). To confirm the validity of this practice, we sought to determine if the use of varying sampling intervals has an effect on the results obtained in such biological variation studies. The study included two phases: comparison of the results found with identical and non-identical sampling intervals and correlation between the within-subject BV and the length of the sampling interval. There were no differences in within-subject BV between the groups or correlations with sampling intervals for any of the constituents studied. We conclude that samples acquired within established clinical protocols for kidney transplant recipients can be used for estimating BV.

Adult↗
PubMed1999

Commutability and traceability: their repercussions on analytical bias and inaccuracy.

The commutability of calibrators and accuracy control materials affects the traceable link between patient sample results and standards. We sought to identify the repercussions of commutability on various aspects of laboratory practice (calibration, control of bias and accuracy assessment) and to discover the solutions that can reduce the problems produced by non-commutability with presently available resources. Ten serum constituents, ten comparison procedures and 37 analytical procedures were studied. The information concerning accuracy and bias provided from materials found to be commutable in previous works was challenged with native serum results for each routine and reference method compared, using Passing-Bablok regression and decision limits derived from biological variation. We found that: (1) Use of commutable control materials did not assure reliable information on the bias (systematic component of analytical error) of analytical procedures, and (2) Results from native serum and commutable controls were very highly concordant, indicating that these materials provide a good indication of the inaccuracy (total analytical error) of results. We suggest that the performance of individual laboratories would be better evaluated by occasional use of native sera with values assigned by reference methods in EQAS schemes. Moreover, our findings support the idea that manufacturers should assign values to calibrators using reference methods and native sera to reduce matrix effects and promote traceability.

Calibration↗
PubMed1999

Current databases on biological variation: pros, cons and progress.

A database with reliable information to derive definitive analytical quality specifications for a large number of clinical laboratory tests was prepared in this work. This was achieved by comparing and correlating descriptive data and relevant observations with the biological variation information, an approach that had not been used in the previous efforts of this type. The material compiled in the database was obtained from published articles referenced in BIOS, CURRENT CONTENTS, EMBASE and MEDLINE using "biological variation & laboratory medicine" as key words, as well as books and doctoral theses provided by their authors. The database covers 316 quantities and reviews 191 articles, fewer than 10 of which had to be rejected. The within- and between-subject coefficients of variation and the subsequent desirable quality specifications for precision, bias and total error for all the quantities accepted are presented. Sex-related stratification of results was justified for only four quantities and, in these cases, quality specifications were derived from the group with lower within-subject variation. For certain quantities, biological variation in pathological states was higher than in the healthy state. In these cases, quality specifications were derived only from the healthy population (most stringent). Several quantities (particularly hormones) have been treated in very few articles and the results found are highly discrepant. Therefore, professionals in laboratory medicine should be strongly encouraged to study the quantities for which results are discrepant, the 90 quantities described in only one paper and the numerous quantities that have not been the subject of study.

Clinical Laboratory Techniques↗
PubMed1997

Procedure for studying commutability validated by biological variation.

In the field of laboratory medicine, the two quantitative approaches designed to identify the stabilized materials that produce results that are commutable with results from patients' samples were found to differ. In commutability evaluations, the responses of each material and each method studied are specific, thus, it is vital to standardise the procedure used for determining this characteristic. We incorporated statistical components from the two described methods that seemed to be consistent, and added a new element based on biological variation, to validate the criterion of acceptability that determines whether or not a material is commutable. The three methods for studying commutability (using the confidence interval [alpha = 0.05], the +/- 2s(yx) formula, and the limit based on biological variation as acceptability criteria) were applied to creatinine results from 31 stabilised materials and serum samples analysed with seven instruments, when compared against a reference method for creatinine analysis. Over the wide range of concentrations studied, the confidence interval limit and the biological variation limit coincided in the identification of commutable materials, whereas the +/- 2s(yx) was excessively permissive at normal and low concentration levels. We therefore recommend the use of Passing-Bablok regression with its confidence interval (alpha = 0.05) in studies concerning commutability. Using this method, commutability is simple to calculate with available software and, as validated by biological variation, results are reliable.

Chromatography, High Pressure Liquid↗
PubMed1997

Commutability between stabilized materials and fresh human serum to improve laboratory performance.

With the recent advances in laboratory technology, many quality-related problems have been improved. However, the issue of commutability, a factor that greatly affects daily decisions concerning patient status, still remains to be solved. This paper determines the commutability between 27 stabilized materials (controls and calibrators) and clinical specimens for five serum quantities, using carrier-bound reagent chemistry and conventional wet methods. Our aim was to pinpoint the specific problems related to non-commutable calibrators and controls in our setting, and minimize their effect in daily practice. We found major difficulties in selecting appropriate accuracy controls in carrier-bound reagent techniques, and in finding materials commutable for several analytes simultaneously. Several suggestions for reducing problems related to non-commutability, such as procedures for assigning values to multicalibrators, are proposed. We explain the apparent incongruencies observed in daily quality surveillance, when data from different control materials (internal quality control and external quality assessment) are evaluated. The conclusions emphasize the need for a combined effort (manufacturers, organizers of external quality assessment schemes and individual laboratories) to find the cause of, and eliminate, the negative repercussions on laboratory performance produced by non-commutability.

Blood Chemical Analysis↗
PubMed1997

Current stage of standardization of measurements of specific polypeptides and proteins discussed in light of steps needed towards a comprehensive measurement system.

We present a standardization model for the measurement of specific polypeptides and proteins, which is based on an integrated development of all important elements of a reference measurement system. Generally, the model is in line with other current recommendations. However, it puts special emphasis on the definition of the analyte and on the role of reference methods for verification of the standardization process by measurement of patient specimens. Further, we discuss the needs for its implementation in the routine laboratory. In the light of this model, we investigate the current stage of standardization of routine methods for enzymes, peptide hormones, proteins, apolipoproteins, glycohaemoglobin, and tumour markers.

Apolipoproteins↗
PubMed1996

Analytical specifications of reference methods compilation and critical discussion (from the members of the European EQA-Organizers Working Group B).

We present a compilation of published data for accuracy, precision, and measurement design for analytes that, currently, are of major interest for European reference laboratories. These data are compared with recent recommendations for performance of reference methods to be used within networks of European reference laboratories. In addition, we review the literature on reference methods and related topics.

Blood Glucose↗
PubMed1996

Characterization and classification of external quality assessment schemes (EQA) according to objectives such as evaluation of method and participant bias and standard deviation. External Quality Assessment (EQA) Working Group A on Analytical Goals in Laboratory Medicine.

Within the scope of this paper, the Working Group has attempted to place external quality assessment (EQA) within the whole context of quality management in laboratory medicine. First, the objectives of EQA schemes are defined and current EQA schemes evaluated. In most schemes, the objectives are not defined a priori and do not allow the definition of the origin of unacceptable individual results from participants. There is an ongoing trend for making traditional EQA schemes more interesting for the participants. Analysis of the factors involved in analytical quality allow the definition of the essential analytical tasks of educational EQA schemes. Beside these quality control tasks, educational EQA also includes quality assurance elements. EQA today has not only an important role to play in the assessment of each participant's performance but also in the assessment of the method. Efficiency of the schemes and educational impact can be improved by appropriate scheme designs according to objectives. After this theoretical approach, some practical examples of problem related EQA designs are given.

Clinical Laboratory Techniques↗
PubMed1996

Proposed guidelines for the internal quality control of analytical results in the medical laboratory.

The factors involved in analytical quality relate to definition of quality, creation of quality, and control of quality, and errors arise from external and internal sources as well as from permanent and variable factors. Further, the two main types of error are classified as systematic and random errors. Internal quality control (IQC) systems can only operate on the variable factors which are related to batch-to-batch variations (external factors) and to the performance in the laboratory (internal factors). In creating an adequate internal control system, several problems are faced: (i) quality of control materials, (ii) types and frequency of possible errors, (iii) number and types of control materials, (iv) number of replicates of the control, (v) probability of error detection, (vi) probability of false rejection, (vii) consequences of reject signals, (viii) trouble-shooting systems, and (ix) prevention of errors among many other conditions. Gaussian distributions of control results are assumed and the statistical control rules are evaluated in relation to probability of false rejections, Pfr, and probability of error detection, Ped, for the different rules. Combinations of low Pfr and high Ped are obtained by combining results from e.g. four measurements of the same control sample by use of mean and range rules. Further, it is not possible to establish a common control system which can be used for all quantities and analytical procedures; on the contrary, each procedure should have its particular efficient IQC system. These aspects are discussed and a number of guidelines for statistical control rules and problem related internal quality control are presented.

Guidelines as Topic↗
PubMed1995

Desirable routine analytical goals for quantities assayed in serum. Discussion paper from the members of the external quality assessment (EQA) Working Group A on analytical goals in laboratory medicine.

The aim of the Working Group was to describe guidelines for deriving desirable analytical goals in laboratory medicine. First, a literature review is given of the different approaches used until now, and some of the most important studies are presented in detail. These approaches are then discussed critically, and the analytical goals proposed by the group are outlined with respect to monitoring and diagnostic testing. The group recommends that, most realistically, analytical quality specifications be biologically based. For diagnostic testing, the aim is achievement of accuracy, allowing the use of common reference intervals when populations are homogeneous for a given quantity. For monitoring (within an individual laboratory and performed with the same instrument), analytical performance should aim at stable operation and low imprecision compared with the within-subject biological variation. Method accuracy is also very important for the comparability of results from different laboratories or instruments.

Blood Chemical Analysis↗
PubMed1995

Analytical quality specifications for reference methods and operating specifications for networks of reference laboratories. discussion paper from the members of the external quality assessment (EQA) Working Group B1) on target values in EQAS.

The aim of the Working Group was to describe guidelines for the establishment of networks of reference laboratories. The need for such networks to achieve an accuracy-based uniform measurement system with traceability of results of analytical systems/test-kits to the true value is outlined. Criteria for analytical quality specifications, which are related to the ultimate purpose of the reference method and thereby to the objectives of the networks, are emphasized. The group recommends the use of two models: one based on specifications for routine methods, which are dictated by the biological variations of the respective analytes, the second respecting the analytical state-of-the-art of reference methodology. Further, the group presents operating specifications for networks that guarantee the continuous performance of reference method measurements whilst maintaining a uniform and stable level of quality.

Chemistry, Clinical↗
PubMed1994

Biological variation in urine samples used for analyte measurements.

To determine the influence of biological variation on the reliability of data from different types of urine specimens, we measured nine analytes in first-morning, randomly collected, and 24-h samples of urine from 53 healthy individuals (14 men and 39 women). The urines were collected once a week for 10 weeks. The data obtained were used as a basis for specimen collection and to gain insight into the influence of urine quantities in the diagnosis, screening, and monitoring of patients. We found that 24-h urine expressed in output rather than concentration units is the most reliable specimen for diagnosis and monitoring for most of the analytes studied. On the basis of the ratio between estimated within- and between-subject variation, the tests with greatest medical usefulness for diagnosis and screening of specific pathologies are those measuring protein and sodium. Moreover, the results indicate that urine creatinine may be a poor test for diagnosis, monitoring, and screening.

Adult↗
PubMed1994

[Transferability of results in hematologic determinations].

PURPOSE: To evaluate inaccuracy of the results attained in several Servei Catalá de la Salut laboratories in order to assess if quality purposes are accomplished and results are transferable between them. MATERIAL AND METHODS: Two types of haematological analysers are used: those based upon volumetric measurements and those using light dispersion for particle counting. Inaccuracy was ascertained in accordance to the inter-laboratory quality control programme. The inter-series study was performed with commercial control material in each laboratory with their own data, the monthly coefficient of variation being found, and the mean of the CV of 12 months was then calculated. Intra-series inaccuracy with commercial control material was assessed in each laboratory three times a day for 10 days, and the inaccuracy with fresh patient blood was examined daily in triplicate. The analytical inaccuracy attained in patient samples was also compared with that attained with stabilized control materials. RESULTS: The inaccuracy quality limits were exceeded in the haematological constituents under study. Quality objectives were accomplished in the inter-series inaccuracy study for red cell count, white cell count, MCV, granulocytes and lymphocytes. Repeat fresh patient-blood assays can be used to assess intra-series inaccuracy for red and white cell counts, but not for platelet count. CONCLUSIONS: Inaccuracy of the blood constituents studied is not transferable. Inaccuracy for the commonest haematological values is transferable between laboratories. Intra-series inaccuracy for red and white cell counts can be assessed by repeated use of fresh patient-blood when control material is not available. Patient samples are not advisable as a control of the white cell differential count for intra-series inaccuracy studies in those systems using volumetric principles.

Blood Cell Count↗