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Complete Blood Count as point of care testing QBC STAR™: Preliminary evaluation.
Napolitano, Gavino; Caracciolo, Alessandra; Apassiti Esposito, Sara; Della Malva, Nunzia; Manenti, Barbara; Guerra, Giovanni; Ottomano, Cosimo; Lippi, Giuseppe; Buoro, Sabrina.
Afiliação
  • Napolitano G; Clinical Chemistry Laboratory, Hospital ASST Papa Giovanni XXIII, Bergamo, Italy.
  • Caracciolo A; Clinical Chemistry Laboratory, Hospital ASST Papa Giovanni XXIII, Bergamo, Italy.
  • Apassiti Esposito S; Clinical Chemistry Laboratory, Hospital ASST Papa Giovanni XXIII, Bergamo, Italy.
  • Della Malva N; Clinical Chemistry Laboratory, Hospital ASST Papa Giovanni XXIII, Bergamo, Italy.
  • Manenti B; Transfusion Medicine, ASST Bergamo Ovest, Hospital Treviglio- Caravaggio, Treviglio, Italy.
  • Guerra G; Clinical Chemistry Laboratory, Hospital ASST Papa Giovanni XXIII, Bergamo, Italy.
  • Ottomano C; Laboratory Medical Officer, IRCCS SDN, Napoli, Italy.
  • Lippi G; Section of Clinical Biochemistry, University of Verona, Verona, Italy.
  • Buoro S; Regional Reference Center for the Laboratories Quality, Hospital ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Int J Lab Hematol ; 43(5): 973-982, 2021 Oct.
Article em En | MEDLINE | ID: mdl-33750012
ABSTRACT

INTRODUCTION:

Point of care testing (POCT) represents a valuable option when laboratory data shall be urgently available for timely clinical management, with a turnaround time (TAT) that is unfeasible using conventional laboratory instrumentation. This study was aimed to compare the performance of QBC STAR™ compared to Sysmex XN-module and the reference optical microscopy (OM) assessment. MATERIAL AND

METHODS:

One hundred peripheral blood samples, collected in K3 EDTA tubes, and 50 capillary blood samples obtained by finger stick were analyzed with QBC STAR™, Sysmex XN-module, and OM. Data were compared with Passing-Bablok regression and Bland-Altman plots.

RESULTS:

The Passing-Bablok regression analysis (QBC STAR™ capillary sample vs XN-module) yielded slopes comprised between 0.30 and 1.37, while the intercepts ranged between -17.57 and 232.6. Bland-Altman plots yielded relative bias comprised between -4.87% (for MN QBC STAR™ capillary sample vs XN-module) and 27% (PLT QBC STAR™ capillary sample vs XN-module). A significant bias was found for all parameters except MN and WBC, RBC in all and pediatric samples, and HB in adults samples.

CONCLUSION:

The results of this analytical evaluation suggest that QBC STAR™ may not be the ideal tool for performing complete blood count analysis for diagnostic purposes, while it could be more useful in urgent/emergent conditions, such as for rapid monitoring of some hematological parameters (eg, WBC and HB).
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Contagem de Células Sanguíneas / Testes Imediatos Tipo de estudo: Diagnostic_studies Limite: Adolescent / Adult / Child / Child, preschool / Female / Humans / Infant / Male / Middle aged / Newborn Idioma: En Revista: Int J Lab Hematol Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Contagem de Células Sanguíneas / Testes Imediatos Tipo de estudo: Diagnostic_studies Limite: Adolescent / Adult / Child / Child, preschool / Female / Humans / Infant / Male / Middle aged / Newborn Idioma: En Revista: Int J Lab Hematol Ano de publicação: 2021 Tipo de documento: Article