Literature DB >> 35470269

Obtaining Reliable CBC Results in Clinical Laboratories.

Seon Young Kim1, Hyun Kyung Kim2.   

Abstract

Entities:  

Keywords:  Automation; Blood cell count; Hematology; Laboratories

Mesh:

Year:  2022        PMID: 35470269      PMCID: PMC9057821          DOI: 10.3343/alm.2022.42.5.505

Source DB:  PubMed          Journal:  Ann Lab Med        ISSN: 2234-3806            Impact factor:   4.941


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The complete blood count (CBC) is one of the most commonly requested clinical laboratory tests. It provides important information on blood cell numbers, hematocrit, Hb concentration, red blood cell indices, and leukocyte types. Hematology laboratories routinely utilize automated hematology analyzers to obtain CBC results. Since the advent of electronic cell counters in the 1960s, multiple technologies, including electrical impedance, optical flow cytometry, and cytochemical staining, have been used in automated analyzers. With the introduction of new principles and advances in software, hematology analyzers have undergone remarkable technological evolution, and the range of applicable samples is expanding [1-3]. Although appropriately quality-controlled and properly operated hematology analyzers generate accurate CBC results for nearly all specimens, every laboratory encounters some specimens that yield no or inaccurate results [4, 5]. Given the importance of the CBC, numerous review articles, book chapters, and case reports have been published on the erroneous results of various CBC parameters, and a myriad of new information is being reported [6-10]. In their review article in this issue, Gulati, et al. [11] provide an overview of how to recognize unreliable CBC results, how to identify the potential underlying causes, and ways to obtain reliable results. The authors present essential and up-to-date knowledge in a concise manner. Known causes of unreliable CBC results are grouped as interfering substances and abnormal cells or cellular phenomena [11]. Several methods of recognizing unreliable CBC results are described, including automated or manual review of analyzer-generated flags, delta check failures, review based on expectation or predefined quality control rules, visual inspection of the blood specimen tube, and blood smear examination [11]. Detailed examples of unreliable automated CBC results and methods for obtaining reliable results are provided for each listed cause; for interfering substances: lipemia, hemolysis, hyperbilirubinemia, red cell agglutinins, white cell agglutinins, platelet agglutinins, hyperproteinemia/paraproteinemia, cryoproteinemia, organisms, hyperglycemia, adipose tissue fragments/flat globules, fibrin clumps, small clots in the specimen tube; and for abnormal cells or cellular phenomena: red cell fragments/schistocytes, extremely microcytic red cells, lysis-resistant red cells, hyperleukocytosis, giant platelets, cytoplasmic fragments of leukocytes, platelet satellitosis, nucleated red blood cells, megakaryocytes, and non-hematopoietic cells [11]. For each example, a general description, the impact on CBC parameters, methods for recognizing unreliable results, methods for obtaining reliable results encompassing multiple approaches, including sample processing and calculational methods, and example cases with initial and re-run CBC results are described in detail based on the literature or the authors’ experiences. As the authors suggest in their conclusions, for analyzer-specific information on what may adversely affect CBC results, laboratory professionals should consult the operating manual provided by the manufacturer; however, the well-organized and concise problem-solving methods described in their review for problems commonly encountered in clinical laboratories will be of great help. In future, we expect the development of an artificial intelligence-assisted platform for the detection of unreliable CBC results.
  11 in total

Review 1.  Spurious counts and spurious results on haematology analysers: a review. Part I: platelets.

Authors:  M Zandecki; F Genevieve; J Gerard; A Godon
Journal:  Int J Lab Hematol       Date:  2007-02       Impact factor: 2.877

Review 2.  Spurious counts and spurious results on haematology analysers: a review. Part II: white blood cells, red blood cells, haemoglobin, red cell indices and reticulocytes.

Authors:  M Zandecki; F Genevieve; J Gerard; A Godon
Journal:  Int J Lab Hematol       Date:  2007-02       Impact factor: 2.877

Review 3.  Haemolysis: an overview of the leading cause of unsuitable specimens in clinical laboratories.

Authors:  Giuseppe Lippi; Norbert Blanckaert; Pierangelo Bonini; Sol Green; Steve Kitchen; Vladimir Palicka; Anne J Vassault; Mario Plebani
Journal:  Clin Chem Lab Med       Date:  2008       Impact factor: 3.694

4.  A simple, fast correction method of triglyceride interference in blood hemoglobin automated measurement.

Authors:  Su-Gen Zeng; Ting-Ting Zeng; Hong Jiang; Lan-Lan Wang; Shu-Qiang Tang; Yu-Ming Sun; Bin-Wu Ying; Yong-Qian Jia
Journal:  J Clin Lab Anal       Date:  2013-09       Impact factor: 2.352

5.  Evaluation of the CellaVision Advanced RBC Application for Detecting Red Blood Cell Morphological Abnormalities.

Authors:  Seong Jun Park; Jung Yoon; Jung Ah Kwon; Soo-Young Yoon
Journal:  Ann Lab Med       Date:  2020-08-25       Impact factor: 3.464

Review 6.  Pseudothrombocytopenia-A Review on Causes, Occurrence and Clinical Implications.

Authors:  Benjamin Lardinois; Julien Favresse; Bernard Chatelain; Giuseppe Lippi; François Mullier
Journal:  J Clin Med       Date:  2021-02-04       Impact factor: 4.241

Review 7.  Unreliable Automated Complete Blood Count Results: Causes, Recognition, and Resolution.

Authors:  Gene Gulati; Guldeep Uppal; Jerald Gong
Journal:  Ann Lab Med       Date:  2022-09-01       Impact factor: 4.941

Review 8.  Purpose and criteria for blood smear scan, blood smear examination, and blood smear review.

Authors:  Gene Gulati; Jinming Song; Alina Dulau Florea; Jerald Gong
Journal:  Ann Lab Med       Date:  2012-12-17       Impact factor: 3.464

9.  Effects of Cold Agglutinin on the Accuracy of Complete Blood Count Results and Optimal Sample Pretreatment Protocols for Eliminating Such Effects.

Authors:  John Hoon Rim; Myung Hee Chang; Joowon Oh; Heon Yung Gee; Jeong Ho Kim; Jongha Yoo
Journal:  Ann Lab Med       Date:  2018-07       Impact factor: 3.464

10.  Performance Evaluation of Body Fluid Cellular Analysis Using the Beckman Coulter UniCel DxH 800, Sysmex XN-350, and UF-5000 Automated Cellular Analyzers.

Authors:  Jooyoung Cho; Joowon Oh; Sang Guk Lee; You Hee Lee; Jaewoo Song; Jeong Ho Kim
Journal:  Ann Lab Med       Date:  2020-03       Impact factor: 3.464

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