Literature DB >> 18550479

Automated blood cell counts: state of the art.

Mauro Buttarello1, Mario Plebani.   

Abstract

The CBC count and leukocyte differential count (LDC) are among the most frequently requested clinical laboratory tests. These analyses are highly automated, and the correct interpretation of results requires extensive knowledge of the analytic performance of the instruments and the clinical significance of the results they provide. In this review, we analyze the state of the art regarding traditional and new parameters with emphasis on clinical applications and analytic quality. The problems of some traditional parameters of the CBC count, such as platelet counts, some components of the LDC such as monocyte and basophil counts, and other commonly used indices such as red cell volume distribution width and platelet indices such as mean platelet volume and platelet distribution width are considered. The new parameters, evaluated from analytic and clinical viewpoints, are the available components of the extended differential count (hematopoietic progenitor cells, immature granulocytes, and erythroblasts), the immature reticulocyte fraction, the reticulocyte indices, the fragmented RBCs, and the immature platelet fraction.

Mesh:

Year:  2008        PMID: 18550479     DOI: 10.1309/EK3C7CTDKNVPXVTN

Source DB:  PubMed          Journal:  Am J Clin Pathol        ISSN: 0002-9173            Impact factor:   2.493


  57 in total

1.  All-plastic, miniature, digital fluorescence microscope for three part white blood cell differential measurements at the point of care.

Authors:  Alessandra Forcucci; Michal E Pawlowski; Catherine Majors; Rebecca Richards-Kortum; Tomasz S Tkaczyk
Journal:  Biomed Opt Express       Date:  2015-10-19       Impact factor: 3.732

2.  Hematological, biochemical, and histopathological impacts of barium chloride and barium carbonate accumulation in soft tissues of male Sprague-Dawley rats.

Authors:  Amany Tharwat Mohammed; Hager Tarek H Ismail
Journal:  Environ Sci Pollut Res Int       Date:  2017-09-27       Impact factor: 4.223

3.  A smart preparation strategy for point-of-care cellular counting of trace volumes of human blood.

Authors:  Xinyi Li; Qiong Deng; Hongping Liu; Youwang Lei; Pengwei Fan; Bin Wang; Yangfei Chen; Zachary J Smith; Yuchen Tang; Tingjuan Gao
Journal:  Anal Bioanal Chem       Date:  2019-04-11       Impact factor: 4.142

4.  Validation rules for blood smear revision after automated hematological testing using Mindray CAL-8000.

Authors:  Sabrina Buoro; Tommaso Mecca; Michela Seghezzi; Barbara Manenti; Giovanna Azzarà; Cosimo Ottomano; Giuseppe Lippi
Journal:  J Clin Lab Anal       Date:  2016-10-06       Impact factor: 2.352

Review 5.  Red cell distribution width and mortality in older adults: a meta-analysis.

Authors:  Kushang V Patel; Richard D Semba; Luigi Ferrucci; Anne B Newman; Linda P Fried; Robert B Wallace; Stefania Bandinelli; Caroline S Phillips; Binbing Yu; Stephanie Connelly; Michael G Shlipak; Paulo H M Chaves; Lenore J Launer; William B Ershler; Tamara B Harris; Dan L Longo; Jack M Guralnik
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2009-10-30       Impact factor: 6.053

6.  Validity of Selected WBC Differentiation Flags in Sysmex XT-1800i.

Authors:  Parya Bameni Moghaddam; Fatemeh Mahjoub; Amirhossein Emami; Alireza Abdollahi
Journal:  Iran J Pathol       Date:  2016

7.  Properties of human blood monocytes. I. CD91 expression and log orthogonal light scatter provide a robust method to identify monocytes that is more accurate than CD14 expression.

Authors:  Dorothy Hudig; Kenneth W Hunter; W John Diamond; Doug Redelman
Journal:  Cytometry B Clin Cytom       Date:  2013-10-08       Impact factor: 3.058

8.  Evaluation of nucleated red blood cell count by Sysmex XE-2100 in patients with thalassaemia or sickle cell anaemia and in neonates.

Authors:  Sabrina Buoro; Mauro Vavassori; Silvia Pipitone; Anna Benegiamo; Eleonora Lochis; Sabina Fumagalli; Anna Falanga; Marina Marchetti; Alberto Crippa; Cosimo Ottomano; Giuseppe Lippi
Journal:  Blood Transfus       Date:  2015-01-30       Impact factor: 3.443

9.  Mean platelet volume in patients with rheumatoid arthritis: the effect of anti-TNF-α therapy.

Authors:  Armen Yuri Gasparyan; Aamer Sandoo; Antonios Stavropoulos-Kalinoglou; George D Kitas
Journal:  Rheumatol Int       Date:  2010-01-12       Impact factor: 2.631

10.  Mean platelet volume is decreased in HIV-infected women.

Authors:  S Qadri; S Holman; J Dehovitz; H Crystal; H Minkoff; J M Lazar
Journal:  HIV Med       Date:  2013-06-05       Impact factor: 3.180

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