New parameters on the hematology analyzer <scp>XN</scp>‐10 (Sysmex<scp>TM</scp>) allow to distinguish childhood bacterial and viral infections

Henriot, Iris; Launay, Élise; Boubaya, Marouane; Crémet, Lise; Illiaquer, Marina; Caillon, Hélène; Desjonqueres, Alexandre; Gillet, Brigitte; Béné, Marie C.; Eveillard, Marion

doi:10.1111/ijlh.12562

Cited by 35 publications

(27 citation statements)

References 23 publications

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“…There have been a few studies exploring research hematology analyzer parameters predominantly in the setting of infection. The study by Henriot et al 26 showed that the lymphocyte research parameters AS-Lymph % and Re-Lymph %, measured on the Sysmex XN-10, may be useful in distinguishing between viral and bacterial infections in febrile children. Some research hematology parameters have been investigated as possible predictors of sepsis.…”

Section: Discussionmentioning

confidence: 99%

Clinical Significance of CBC and WBC Morphology in the Diagnosis and Clinical Course of COVID-19 Infection

Pozdnyakova

Connell

Battinelli

et al. 2020

American Journal of Clinical Pathology

116

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Objectives To investigate the clinical significance of numeric and morphologic peripheral blood (PB) changes in coronavirus disease 2019 (COVID-19)–positive patients in predicting the outcome, as well as to compare these changes between critically ill COVID-19–positive and COVID-19–negative patients. Methods The study included 90 COVID-19–positive (51 intensive care unit [ICU] and 39 non-ICU) patients and 30 COVID-19–negative ICU patients. We collected CBC parameters (both standard and research) and PB morphologic findings, which were independently scored by two hematopathologists. Results All patients with COVID-19 demonstrated striking numeric and morphologic WBC changes, which were different between mild and severe disease states. More severe disease was associated with significant neutrophilia and lymphopenia, which was intensified in critically ill patients. Abnormal WBC morphology, most pronounced in monocytes and lymphocytes, was associated with more mild disease; the changes were lost with disease progression. Between COVID-19–positive and COVID-19–negative ICU patients, significant differences in morphology-associated research parameters were indicative of changes due to the severe acute respiratory syndrome coronavirus 2 virus, including higher RNA content in monocytes, lower RNA content in lymphocytes, and smaller hypogranular neutrophils. Conclusions Hospitalized patients with COVID-19 should undergo a comprehensive daily CBC with manual WBC differential to monitor for numerical and morphologic changes predictive of poor outcome and signs of disease progression.

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Section: Discussionmentioning

confidence: 99%

Clinical Significance of CBC and WBC Morphology in the Diagnosis and Clinical Course of COVID-19 Infection

Pozdnyakova

Connell

Battinelli

et al. 2020

American Journal of Clinical Pathology

116

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“…The IMS is based on the principle that pathogens induce specific changes in the number and phenotype of circulating blood cells and that these changes can differentiate viral from bacterial infections. The idea that algorithms incorporating novel blood count parameters may be used as decision tools for antibiotic therapy is supported by recent studies in febrile children [9] and ICU patients [11, 12]. In resource-limited countries, costly and expertise-reliant diagnostic assays cannot be performed routinely.…”

Section: Discussionmentioning

confidence: 99%

“…A promising development is the ability to measure phenotypic changes in blood cells by automated hematology analyzers. For example, activated leukocytes contain more lipid rafts in their cell membrane and altered intracellular DNA/RNA levels [7] which can be quantified using specific reagents and distinct fluorescence patterns [8, 9].…”

Section: Introductionmentioning

confidence: 99%

A novel diagnostic algorithm equipped on an automated hematology analyzer to differentiate between common causes of febrile illness in Southeast Asia

et al. 2019

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BackgroundDistinguishing arboviral infections from bacterial causes of febrile illness is of great importance for clinical management. The Infection Manager System (IMS) is a novel diagnostic algorithm equipped on a Sysmex hematology analyzer that evaluates the host response using novel techniques that quantify cellular activation and cell membrane composition. The aim of this study was to train and validate the IMS to differentiate between arboviral and common bacterial infections in Southeast Asia and compare its performance against C-reactive protein (CRP) and procalcitonin (PCT).Methodology/Principal findings600 adult Indonesian patients with acute febrile illness were enrolled in a prospective cohort study and analyzed using a structured diagnostic protocol. The IMS was first trained on the first 200 patients and subsequently validated using the complete cohort. A definite infectious etiology could be determined in 190 of 463 evaluable patients (41%), including 89 arboviral infections (81 dengue and 8 chikungunya), 94 bacterial infections (26 murine typhus, 16 salmonellosis, 6 leptospirosis and 46 cosmopolitan bacterial infections), 3 concomitant arboviral-bacterial infections, and 4 malaria infections. The IMS detected inflammation in all but two participants. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of the IMS for arboviral infections were 69.7%, 97.9%, 96.9%, and 77.3%, respectively, and for bacterial infections 77.7%, 93.3%, 92.4%, and 79.8%. Inflammation remained unclassified in 19.1% and 22.5% of patients with a proven bacterial or arboviral infection. When cases of unclassified inflammation were grouped in the bacterial etiology group, the NPV for bacterial infection was 95.5%. IMS performed comparable to CRP and outperformed PCT in this cohort.Conclusions/SignificanceThe IMS is an automated, easy to use, novel diagnostic tool that allows rapid differentiation between common causes of febrile illness in Southeast Asia.

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“…When aggregated at the individual level (by median or distribution width), these data provide summary measures of cell structure related to cell function. For example, antigen-stimulated (reactive) lymphocytes can be detected and enumerated using SFL (Henriot et al 2017) while the activation of neutrophils (NE) with physiological compounds such as formyl-methionyl-leucyl-phenylalanine (fMLP), and lipopolysaccharide (LPS) causes changes in NE-SSC (median neutrophil SSC) and NE-SFL (median neutrophil SFL) (Zimmermann et al 2011;Linssen et al 2008) .…”

Section: Introductionmentioning

confidence: 99%

Genetic Analyses of Blood Cell Structure for Biological and Pharmacological Inference

Akbari

Vuckovic

Jiang

et al. 2020

Preprint

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Thousands of genetic associations with phenotypes of blood cells are known, but few are with phenotypes relevant to cell function. We performed GWAS of 63 flow-cytometry phenotypes, including measures of cell granularity, nucleic acid content, and reactivity, in 39,656 participants in the INTERVAL study, identifying 2,172 variant-trait associations. These include associations mediated by functional cellular structures such as secretory granules, implicated in vascular, thrombotic, inflammatory and neoplastic diseases. By integrating our results with epigenetic data and with signals from molecular abundance/disease GWAS, we infer the hematopoietic origins of population phenotypic variation and identify the transcription factor FOG2 as a regulator of platelet α-granularity. We show how flow cytometry genetics can suggest cell types mediating complex disease risk and suggest efficacious drug targets, presenting Daclizumab/Vedolizumab in autoimmune disease as positive controls. Finally, we add to existing evidence supporting IL7/IL7-R as drug targets for multiple sclerosis.

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New parameters on the hematology analyzer XN‐10 (SysmexTM) allow to distinguish childhood bacterial and viral infections

Abstract: Complete blood counts is the most broadly performed rapid laboratory investigation. Here, we show that XN-10 provides complementary information allowing to confirm infection in febrile children, moreover discriminating between bacterial or viral origin.

Cited by 35 publications

References 23 publications

Clinical Significance of CBC and WBC Morphology in the Diagnosis and Clinical Course of COVID-19 Infection

Clinical Significance of CBC and WBC Morphology in the Diagnosis and Clinical Course of COVID-19 Infection

A novel diagnostic algorithm equipped on an automated hematology analyzer to differentiate between common causes of febrile illness in Southeast Asia

Genetic Analyses of Blood Cell Structure for Biological and Pharmacological Inference

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