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1.
Int J Lab Hematol ; 46 Suppl 1: 3-4, 2024 May.
Article in English | MEDLINE | ID: mdl-38767146

Subject(s)
Humans
4.
Int J Lab Hematol ; 45(6): 881-889, 2023 Dec.
Article in English | MEDLINE | ID: mdl-37641457

ABSTRACT

INTRODUCTION: Implementing artificial intelligence-based instruments in hematology laboratories requires evidence of efficiency in classifying pathological cells. In two-Universities, we assessed the performance of the Mindray® MC-80 for hematology patients with frequent leukemic and dysplastic cells. METHODS: The Mindray MC-80® locates and pre-classifies cells in blood films. In a two-university study, four films were prepared from 591 samples, two each for the analyser MC-80 and the microscope reference method, using reagents from two different manufacturers. We used Microsoft Excel® statistics for imprecision and distributional inaccuracy and a matrix table model (H20-A2 CLSI standard) for sensitivity, specificity and predictive value for atypical cells. RESULTS: The results indicate minimal within-run imprecision (ICSH method) and good intra-method consistency even on duplicate analysis of 413 samples with a high incidence of hematological abnormalities (r = 0.942 or more, except for basophils, r = 0.841, and reactive lymphocytes, r = 0.847). Distributional inaccuracy was also very low compared to the microscope reference, with a pass rate higher than 80% for pathological cells (except 75.1% for reactive lymphocytes). The primary causes of discrepancy were bizarre shapes of dysplastic neutrophils and inconsistent nomenclature for lymphoma cells. Sensitivity for critical samples containing cells typically absent in circulating blood (immature or malignant) was 98.8% for immature granulocytes, 83.8% for all types of neoplastic cells, 93.6% for reactive lymphocytes and 97.5% for nucleated red blood cells. The negative predictive values of MC-80 were 98.8% for immature granulocytes, 88.4% for the different types of neoplastic cells, 97.8% for reactive lymphocytes, and 96.9% for nucleated red blood cells. CONCLUSION: Our study highlights the outstanding diagnostic performance of this artificial intelligence-based blood film analyzer for hematology patients with circulating abnormal cells. We appreciated the morphological harmonization of cells observed on the screen and those seen in the microscope.


Subject(s)
Artificial Intelligence , Leukocytes , Humans , Leukocyte Count , Neutrophils , Lymphocytes , Blood Cell Count
5.
Int J Lab Hematol ; 45 Suppl 2: 3, 2023 Jun.
Article in English | MEDLINE | ID: mdl-37161493
9.
Br J Haematol ; 200(4): 404-419, 2023 02.
Article in English | MEDLINE | ID: mdl-36203344

ABSTRACT

Numerous studies have shown peculiar morphological anomalies in COVID-19 patients' smears. We searched all the peer-reviewed scientific publications that explicitly reference the cytomorphological alterations on peripheral blood smears of patients with COVID-19. We extracted data from sixty-five publications (case reports, patient group studies, reviews, and erythrocyte morphology studies). The results show that frequent alterations concern the morphology of lymphocytes (large lymphocytes with weakly basophilic cytoplasm, plasmacytoid lymphocytes, large granular lymphocytes). Neutrophils display abnormal nuclei and cytoplasm in a distinctive cytomorphological picture. Besides a left shift in maturation, granulations can be increased (toxic type) or decreased with areas of basophilia. Nuclei are often hyposegmented (pseudo-Pelger-Huёt anomaly). Apoptotic or pycnotic cells are not uncommon. Monocytes typically have a large cytoplasm loaded with heterogeneous and coalescing vacuoles. Platelets show large and giant shapes. The presence of erythrocyte fragments and schistocytes is especially evident in the forms of COVID-19 that are associated with thrombotic microangiopathies. Such atypia of blood cells reflects the generalized activation in severe COVID-19, which has been demonstrated with immunophenotypic, molecular, genetic, and functional methods. Neutrophils, in particular, are involved in the pathophysiology of hyperinflammation with cytokine storm, which characterizes the most unfavorable evolution.


Subject(s)
COVID-19 , Pelger-Huet Anomaly , Humans , COVID-19/complications , Pelger-Huet Anomaly/etiology , Neutrophils/metabolism , Monocytes/metabolism , Killer Cells, Natural
10.
Int J Lab Hematol ; 44 Suppl 1: 3, 2022 09.
Article in English | MEDLINE | ID: mdl-36074707
13.
Int J Lab Hematol ; 44(1): 112-117, 2022 Feb.
Article in English | MEDLINE | ID: mdl-34709714

ABSTRACT

INTRODUCTION: The athlete biological passport monitors blood variables over time to uncover blood doping. With the phasing in of a new series of blood analyzers, the Sysmex XN series, it was necessary to examine the comparability of results with the previously employed XT/XE series. A previous comparison between XN and XT/XE series suggested a small but significant bias between the two instruments in the measurements of RET%. Here, we examined the comparability of RET% on the XN and XT/XE platform using data collected over the first year since the transition. METHODS: The comparability of results obtained from XN and XT/XE instruments was assessed using three datasets: (i) 767 blood samples measured on both instrument series in 22 WADA-accredited laboratories, (ii) 27 323 samples measured on either instrument across 31 laboratories, and (iii) 119 clinical samples and 110 anti-doping samples measured on both instruments in a single laboratory. RESULTS: Analysis of the three datasets confirms the previous observation of a bias toward higher RET% values for samples measured on Sysmex XN instruments compared with the XT/XE series. Using data across a larger number of XN instruments and a larger athlete population, the current work suggests that the bias is proportional and slightly higher than previously observed across most of the range RET% values. CONCLUSION: A model is proposed for the comparison of data across XN and XT/XE technologies whereby the instrument bias increases proportionally with RET% measured on Sysmex XN Series, but where the rate of increase is negatively related to IRF%.


Subject(s)
Athletes , Reticulocyte Count/standards , Reticulocytes , Humans , Monitoring, Physiologic/methods , Monitoring, Physiologic/standards , Reference Standards , Reference Values , Reticulocyte Count/methods
14.
Int J Lab Hematol ; 43(6): 1264-1271, 2021 Dec.
Article in English | MEDLINE | ID: mdl-34431220

ABSTRACT

In 2012, the International Council for Standardization in Hematology (ICSH) published recommendations for the identification, quantitation, and diagnostic value of schistocytes. In the present review, the impact of these recommendations is evaluated. This work is based on citations in peer-reviewed papers published since 2012. The first 2012 ICSH Recommendations have also been revised to incorporate newly published data in the literature and current best laboratory practice. Recommended reference ranges have been proposed for healthy adults and full-term neonates of 1% or less schistocytes. More than 1% of morphologically identified schistocytes on the blood film are considered suspicious for thrombotic microangiopathy. For preterm infants, a normal level of 5% or less is recommended. The fragment red cell count (FRC) generated by some automated hematological analyzers provides a valuable screening tool for the presence of schistocytes. Specifically, the absence of FRCs can be used as a valuable parameter to exclude the presence of schistocytes on the blood film. The validity and usefulness of microscope schistocytes and automated FRCs, respectively, are discussed in the context of the laboratory diagnostic tests used for thrombotic microangiopathies.


Subject(s)
Erythrocytes/pathology , Thrombotic Microangiopathies/diagnosis , Adult , Erythrocyte Count , Humans , Infant, Newborn , Infant, Premature , Reference Values , Thrombotic Microangiopathies/blood , Thrombotic Microangiopathies/pathology
15.
Int J Lab Hematol ; 43 Suppl 1: 7-14, 2021 Jul.
Article in English | MEDLINE | ID: mdl-34288438

ABSTRACT

The extraordinary advances in clinical hematology, biology, and oncology in the last decades would not have been possible without discovering how to identify and count the cells circulating in the blood. For centuries, scientists have used slides, counting chambers (hemocytometers), and diluting and staining solutions for this task. Then, automated hemocytometry began. This science, now linked to the daily routine of laboratory hematology, has completed an overwhelming path over a few decades. Our laboratories today operate with versatile multiparameter systems, ranging from complex single-channel instruments to bulky continuous flow machines. In terms of clinical information obtained from a simple routine blood test, the full exploitation of their potential depends on the operators' imagination and courage. A comprehensive review of the scientific publications that have accompanied the development of hemocytometry from the 1950s to today would require entire volumes. More than seven hundred contributions that authors worldwide have published in Clinical and Laboratory Haematology until 2007 and then the International Journal of Laboratory Hematology are summarized. Such journals have represented and hopefully will continue to represent the privileged place of welcome for future scientific research in hemocytometry. Improved technologies, attention to quality, new reagents and electronics, information technology, and scientist talent ensure a more profound and deeper knowledge of cell properties: current laboratory devices measure and count even minor immature or pathological cell subpopulations. Full-field hemocytometry includes the analysis of nonhematic fluids, digital adds to the microscope, and the development of effective point-of-care devices.


Subject(s)
Blood Cells/cytology , Blood Cells/metabolism , Hematologic Diseases/diagnosis , Hematology/methods , Hematology/trends , Histocytochemistry/methods , Histocytochemistry/trends , Blood Cells/pathology , Diagnosis, Differential , Erythrocyte Indices , Hematologic Diseases/blood , Hematologic Diseases/etiology , Hematology/history , Histocytochemistry/history , History, 20th Century , History, 21st Century , Humans , Laboratories , Platelet Count
16.
Int J Lab Hematol ; 43 Suppl 1: 3-4, 2021 07.
Article in English | MEDLINE | ID: mdl-34288446
17.
Int J Lab Hematol ; 43(2): 148-159, 2021 Apr.
Article in English | MEDLINE | ID: mdl-33180380

ABSTRACT

The ongoing COVID-19 pandemic has had a profound worldwide impact on the laboratory hematology community. Nevertheless, the pace of COVID-19 hematology-related research has continued to accelerate and has established the role of laboratory hematology data for many purposes including disease prognosis and outcome. The purpose of this scoping review was to assess the current state of COVID-19 laboratory hematology research. A comprehensive search of the literature published between December 1, 2019, and July 3, 2020, was performed, and we analyzed the sources, publication dates, study types, and topics of the retrieved studies. Overall, 402 studies were included in this scoping review. Approximately half of these studies (n = 202, 50.37%) originated in China. Retrospective cohort studies comprised the largest study type (n = 176, 43.89%). Prognosis/ risk factors, epidemiology, and coagulation were the most common topics. The number of studies published per day has increased through the end of May. The studies were heavily biased in favor of papers originating in China and on retrospective clinical studies with limited use of and reporting of laboratory data. Despite the major improvements in our understanding of the role of coagulation, automated hematology, and cell morphology in COVID-19, there are gaps in the literature, including biosafety and the laboratory role in screening and prevention of COVID-19. There is a gap in the publication of papers focused on guidelines for the laboratory. Our findings suggest that, despite the large number of publications related to laboratory data and their use in COVID-19 disease, many areas remain unexplored or under-reported.


Subject(s)
COVID-19/diagnosis , COVID-19/epidemiology , Hematology/methods , Laboratories/organization & administration , Pandemics , Bibliometrics , Biomarkers/blood , Blood Cell Count , Blood Coagulation Factors/metabolism , Blood Coagulation Tests , COVID-19/blood , COVID-19/virology , China/epidemiology , Europe/epidemiology , Fibrin Fibrinogen Degradation Products/metabolism , Hematology/instrumentation , Humans , Prognosis , Retrospective Studies , SARS-CoV-2/pathogenicity , Severity of Illness Index , United States/epidemiology
18.
Int J Lab Hematol ; 42 Suppl 1: 11-18, 2020 Jun.
Article in English | MEDLINE | ID: mdl-32311826

ABSTRACT

The ongoing COVID-19 pandemic originated in Wuhan, Hubei Province, China, in December 2019. The etiologic agent is a novel coronavirus of presumed zoonotic origin with structural similarity to the viruses responsible for severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS). Like SARS and MERS, COVID-19 infection manifests most frequently with lower respiratory symptoms. A minority of patients progress to acute respiratory distress syndrome/ diffuse alveolar damage. In addition to its central role in the diagnosis of COVID-19 infection, the clinical laboratory provides critical information to clinicians regarding prognosis, disease course, and response to therapy. The purpose of this review is to (a) provide background context about the origins and course of the pandemic, (b) discuss the laboratory's role in the diagnosis of COVID-19 infection, (c) summarize the current state of biomarker analysis in COVID-19 infection, with an emphasis on markers derived from the hematology laboratory, (d) comment on the impact of COVID-19 on hematology laboratory safety, and (e) describe the impact the pandemic has had on organized national and international educational activities worldwide.


Subject(s)
Betacoronavirus/isolation & purification , Clinical Laboratory Services/organization & administration , Coronavirus Infections/epidemiology , Lymphopenia/epidemiology , Pandemics , Pneumonia, Viral/epidemiology , Thrombocytopenia/epidemiology , Antibodies, Viral/blood , Betacoronavirus/pathogenicity , Biomarkers/blood , C-Reactive Protein/metabolism , COVID-19 , COVID-19 Testing , China/epidemiology , Clinical Laboratory Techniques/methods , Communicable Disease Control , Coronavirus Infections/diagnosis , Coronavirus Infections/physiopathology , Coronavirus Infections/transmission , Hematology/methods , Humans , Incidence , Italy/epidemiology , Laboratories/organization & administration , Lymphopenia/diagnosis , Lymphopenia/physiopathology , Personal Protective Equipment/supply & distribution , Pneumonia, Viral/diagnosis , Pneumonia, Viral/physiopathology , Pneumonia, Viral/transmission , Procalcitonin/blood , SARS-CoV-2 , Thrombocytopenia/diagnosis , Thrombocytopenia/physiopathology , United States/epidemiology , Viral Proteins/blood
20.
Cell Rep ; 29(3): 645-658.e5, 2019 10 15.
Article in English | MEDLINE | ID: mdl-31618633

ABSTRACT

Changes in transcriptional regulation through cis-regulatory elements are thought to drive brain evolution. However, how this impacts the identity of primate cortical neurons is still unresolved. Here, we show that primate-specific cis-regulatory sequences upstream of the Dbx1 gene promote human-like expression in the mouse embryonic cerebral cortex, and this imparts cell identity. Indeed, while Dbx1 is expressed in highly restricted cortical progenitors in the mouse ventral pallium, it is maintained in neurons in primates. Phenocopy of the primate-like Dbx1 expression in mouse cortical progenitors induces ectopic Cajal-Retzius and subplate (SP) neurons, which are transient populations playing crucial roles in cortical development. A conditional expression solely in neurons uncouples mitotic and postmitotic activities of Dbx1 and exclusively promotes a SP-like fate. Our results highlight how transcriptional changes of a single fate determinant in postmitotic cells may contribute to the expansion of neuronal diversity during cortical evolution.


Subject(s)
Biological Evolution , Cerebral Cortex/metabolism , Homeodomain Proteins/metabolism , Animals , Cerebral Cortex/growth & development , Cerebral Cortex/pathology , Embryo, Mammalian/metabolism , Female , Homeodomain Proteins/genetics , Humans , Macaca , Male , Mice , Mice, Inbred C57BL , Mice, Transgenic , Neurons/metabolism , Nuclear Receptor Subfamily 4, Group A, Member 2/genetics , Nuclear Receptor Subfamily 4, Group A, Member 2/metabolism , Pregnancy , T-Box Domain Proteins/metabolism
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