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Editor-in-chief
Maria Stella Graziani

Deputy Director
Martina Zaninotto

Associate Editors
Ferruccio Ceriotti
Davide Giavarina
Bruna Lo Sasso
Giampaolo Merlini
Martina Montagnana
Andrea Mosca
Paola Pezzati
Rossella Tomaiuolo
Matteo Vidali

EIC Assistant
Francesco Busardò

International Advisory Board Khosrow Adeli Canada
Sergio Bernardini Italy
Marcello Ciaccio Italy
Eleftherios Diamandis Canada
Philippe Gillery France
Kjell Grankvist Sweden
Hans Jacobs The Netherlands
Eric Kilpatrick UK
Magdalena Krintus Poland
Giuseppe Lippi Italy
Mario Plebani Italy
Sverre Sandberg Norway
Ana-Maria Simundic Croatia
Tommaso Trenti Italy
Cas Weykamp The Netherlands
Maria Willrich USA
Paul Yip Canada


Publisher
Biomedia srl
Via L. Temolo 4, 20126 Milano

Responsible Editor
Giuseppe Agosta

Editorial Secretary
Chiara Riva
Biomedia srl
Via L. Temolo 4, 20126 Milano
Tel. 0245498282
email: biochimica.clinica@sibioc.it

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ISSN print: 0393 – 0564
ISSN digital: 0392- 7091



BC: Articoli scritti da M. Lorubbio

Errori di identificazione del paziente: un progetto SIBioC orientato alla gestione di un problema persistente
Wrong blood in tube: a SIBioC project for a persistent problem
A. Aita  |  A. Padoan  |  R. Guerranti  |  M. Fiorini  |  C. Bellini  |  F. Tosato  |  M. Pelloso  |  E. Piva  |  R. Pajola  |  M. Lorubbio  |  B. Cremonesi  |  A. Bassi  |  R. Rolla  |  G. Introcaso  |  M. Plebani  |  S. Buoro  |  F. Balboni  | 
<p>Introduction: recently, multi-analytes delta-check (MDC) has been proposed as a more effective tool in identification errors (IE) prevention. In this context, &ldquo;Haematology&rdquo; and &ldquo;Clinical Risk&rdquo; SIBioC working groups launched a project aiming to develop a cell blood count (CBC) MDC. This work is aimed to describe the project and some preliminary results.<br />Methods: the project consists of four phases: collection of CBC results from 15 Italian laboratories to create an original dataset (OD); pilot study on a smaller dataset (SD) i.e., creation of an artificial mix-up dataset-MD containing IE by casual resampling of the SD and identification of the best statistical model to create a MDC; identification of the most accurate MDC on OD; testing the MDC in involved labs and verification of its effectiveness.<br />Results: the SD included 2,367 pair of consecutive results for the same patient (patients&rsquo; age: 0-100 years; the majority of repetitions were within days). The SD casual resampling generated a MD with 2,000 pair of patient-mixed consecutive results. When one of the most frequent used delta-check alert (&Delta;MCV=7fL) was applied to detect IE in MD, the method accuracy was low (AUC=0.542). On the contrary, testing of a multivariate model, obtained by a stepwise logistic analysis, allowed to obtain a more accurate MDC in IE detection (AUC=0.931, sensitivity=91.6%, specificity=94%).<br />Conclusions: MDC may offer a practical strategy to identify IE prior to test reporting, improving patient safety. However a good planning of project workflow, selection of methodology, tools and staff competence are key elements to reach the objectives.</p>
Biochimica Clinica ; 17(1)
Contributi Scientifici - Scientific Papers