Literature DB >> 15919879

The REALAB project: a new method for the formulation of reference intervals based on current data.

Enzo Grossi1, Roberto Colombo, Silvio Cavuto, Carlo Franzini.   

Abstract

BACKGROUND: In a primary healthcare center concerned more with maintaining wellness than with diagnosing and monitoring illness, it is particularly important to compare patients' results with reference intervals derived from a matched population by use of defined statistical methods.
METHODS: Laboratory results over a 3-year period (approximately 15,000,000 records; 197,350 individuals) were retrieved from our laboratory information system. An inclusion/exclusion procedure for individual patients was applied based on (a) presence of at least 1 of 23 previously defined "basic tests"; (b) only 1 measurement per test by the laboratory over the 3-year period; (c) for each test, absence of any abnormality in the correlated tests. Before the third step, correlations among quantities were assessed by a Spearman correlation matrix, comparing each of the 23 basic tests with all remaining tests by use of a novel multivariate algorithm.
RESULTS: The initial sample group (n = 197,350) was reduced stepwise by the selection criteria outlined above to 166,027, then to 93,649, and finally to 61 246 individuals constituting our reference sample group. Results from the last 2 groups were used to calculate sex-specific, and in some cases age-related, reference limits for the 23 basic tests and for 13 additional quantities. Reference limits were calculated throughout this study by nonparametric estimation of percentiles.
CONCLUSION: Reference values derived by retrospective analysis of large samples of data obtained at a given institution are particularly suitable for the evaluation of results for the presenting patient population at that institution.

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Mesh:

Year:  2005        PMID: 15919879     DOI: 10.1373/clinchem.2005.047787

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  15 in total

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2.  Biochemistry on the human scale.

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4.  Expression of CD27 and CD23 on peripheral blood B lymphocytes in humans of different ages.

Authors:  Dino Veneri; Riccardo Ortolani; Massimo Franchini; Giuseppe Tridente; Giovanni Pizzolo; Antonio Vella
Journal:  Blood Transfus       Date:  2009-01       Impact factor: 3.443

5.  Reference intervals for thyrotropin in an area of Northern Italy: the Pordenone thyroid study (TRIPP).

Authors:  R Tozzoli; F D'Aurizio; P Metus; A Steffan; C Mazzon; M Bagnasco
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6.  Assessment and modeling of routinely used biochemical laboratory data of healthy individuals and end-stage renal failure (ESRF) patients by three different chemometric methods.

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7.  An unsupervised learning method to identify reference intervals from a clinical database.

Authors:  Sarah Poole; Lee Frederick Schroeder; Nigam Shah
Journal:  J Biomed Inform       Date:  2015-12-19       Impact factor: 6.317

8.  An improved auto-generation system to obtain reference intervals for laboratory medicine.

Authors:  Hyung Hoi Kim; Hae Sook Hong; Shine Young Kim; Tung Tran; Ji Min Lee; Hwa Sun Kim; Hune Cho
Journal:  Healthc Inform Res       Date:  2010-03-31

9.  Gamma-glutamyltransferase fractions in human plasma and bile: characteristic and biogenesis.

Authors:  Irene Fornaciari; Vanna Fierabracci; Alessandro Corti; Hassan Aziz Elawadi; Evelina Lorenzini; Michele Emdin; Aldo Paolicchi; Maria Franzini
Journal:  PLoS One       Date:  2014-02-12       Impact factor: 3.240

10.  A reference interval study for common biochemical analytes in Eastern Turkey: a comparison of a reference population with laboratory data mining.

Authors:  Ebubekir Bakan; Harun Polat; Yesim Ozarda; Nurinnisa Ozturk; Nurcan Kilic Baygutalp; Fatma Zuhal Umudum; Nuri Bakan
Journal:  Biochem Med (Zagreb)       Date:  2016       Impact factor: 2.313

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