Member area login
You don't have or don't remember the password!
Click Here
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

--------------------

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



Articoli con TAG: emocromo

Identificazione di positività al SARS-CoV-2 attraverso metodi di Machine Learning sui dati dell’esame emocromocitometrico: validazione esterna di modelli allo stato dell'arte
Identification of SARS-CoV-2 positivity using machine learning methods on blood count data: external validation of state-of-the-art models.
<p>Introduction: The aim of the paper is to present the results from the process of external validation of a number of machine learning (ML) models that had been previously developed to detect SARS-CoV-2 virus positivity on both symptomatic and asymptomatic patients on the basis of the complete blood count (CBC) test.<br />Methods: Briefly, models were trained using a dataset of 816 COVID-19 positive and 920 negative cases collected at the emergency departments of IRCCS Hospital San Raffaele and IRCCS Istituto Ortopedico Galeazzi. 21 parameters, including the results of the CBC analysis, age [60.9 (0.9) years], gender (57% males) and the presence of COVID-19 related symptoms were used. The validation regarded the evaluation of the error rate (through different metrics, including accuracy, sensitivity, specificity and the area under the curve (AUC)) of the models considered. This external validation was conducted on two well balanced datasets coming from two different hospitals in Northern Italy: Desio hospital and Bergamo Papa Giovanni XXIII hospital. 163 positive and 174 true negative patients from Desio, and 104 positive and 145 true negative from Bergamo were included in the validation.<br />Results: The performance of the predictive models is satisfactory as we can report an average AUC of 95% for both external datasets.<br />Conclusion: ML models have been applied to hematological parameters for a more rapid and cost-effective detection of the COVID-19 disease. We make the point that validated models may be useful in the management and early detection of potential COVID-19 patients.</p>
Biochimica Clinica ; 45(3) 281-289
Contributi Scientifici - Scientific Papers
 
Informazioni inaspettate dall’esame emocromocitometrico: variante emoglobinica Hb Leiden rilevata tramite un analizzatore ematologico
Unexpected information from a blood count test: a hemoglobin variant, Hb Leiden, detected with a hematology analyzer
<p>Hemoglobin variants are abnormal forms of hemoglobin that may cause hematological disorders. The variants can be (or not) associated with normal hematology parameters. We were able to identify a hemoglobin variant in a 56-year-old Italian Caucasian male using a hematology analyzer.<br />A routine complete blood count was performed on the Sysmex XN-9000 analyzer for a patient presenting at the Emergency Department with dizziness. Unusual morphological alarms were reported by the analyzer. The microscopy observation of the peripheral blood smear showed a significant number of contracted ed cells and target red cells. Differential count cytograms showed changes in the distribution of the cell clusters and a reduction in the fluorescence signal. In the hypothesis that these alterations were caused by a hemoglobin variant, a HPLC test was performed and a variant in the D/E zone was detected. Molecular analysis confirmed the presence of a variant identified as Hb Leiden. We were thus able to demonstrate the importance to correlate instrumental alarms with validation rules to detect variants in cases where clinical evidence was lacking. The introduction of a new validation rule that automatically activates reticulocyte count and peripheral blood smear in case of specific instrumental alarms is highly advisable.</p>
Biochimica Clinica ; 45(3) e023-e026
Casi clinici - Case report