Contribution of the new XN‐1000 parameters NEUT‐RI and NEUT‐WY for managing patients with immature granulocytes

Cornet, Édouard; Boubaya, Marouane; Troussard, Xavier

doi:10.1111/ijlh.12372

Cited by 29 publications

(34 citation statements)

References 6 publications

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“…Interestingly, extended neutrophil parameters distinguished between infectious and non-infectious elevations in IG count. NEUT-RI and NEUT-Y therefore have potential to improve the interpretation of elevated IG levels in patients and providing added value to clinical practice 31 . Therefore, measurement of the total neutrophil population and any morphological changes may be more informative and aid in early identification of septic patients compared to quantifying IG count alone.…”

Section: Discussionmentioning

confidence: 99%

Changes in novel haematological parameters following thermal injury: A prospective observational cohort study

Dinsdale

Devi

Hampson

et al. 2017

Sci Rep

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The mortality caused by sepsis is high following thermal injury. Diagnosis is difficult due to the ongoing systemic inflammatory response. Previous studies suggest that cellular parameters may show promise as diagnostic markers of sepsis. The aim of this study was to evaluate the effect of thermal injury on novel haematological parameters and to study their association with clinical outcomes. Haematological analysis was performed using a Sysmex XN-1000 analyser on blood samples acquired on the day of the thermal injury to 12 months post-injury in 39 patients (15–95% TBSA). Platelet counts had a nadir at day 3 followed by a rebound thrombocytosis at day 21, with nadir values significantly lower in septic patients. Measurements of extended neutrophil parameters (NEUT-Y and NEUT-RI) demonstrated that septic patients had significantly higher levels of neutrophil nucleic acid content. A combination of platelet impedance count (PLT-I) and NEUT-Y at day 3 post-injury exhibited good discriminatory power for the identifying septic patients (AUROC = 0.915, 95% CI [0.827, 1.000]). Importantly, the model had improved performance when adjusted for mortality with an AUROC of 0.974 (0.931, 1.000). A combination of PLT-I and NEUT-Y show potential for the early diagnosis of sepsis post-burn injury. Importantly, these tests can be performed rapidly and require a small volume of whole blood highlighting their potential utility in clinical practice.

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Section: Discussionmentioning

confidence: 99%

Changes in novel haematological parameters following thermal injury: A prospective observational cohort study

Dinsdale

Devi

Hampson

et al. 2017

Sci Rep

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“…The IMS is based on novel techniques that quantify cellular activation and cell membrane composition using distinct fluorescence and surfactant reagents that target RNA, DNA, and bioactive lipids, respectively [8–10]. The IMS algorithm is given in S1 Fig.…”

Section: Methodsmentioning

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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“…Immature granulocytes (IG#) can be quantitated by counting cells in the area above neutrophil granulocytes on a 3D graph taking into account: size (forward scatter), complexity (side scatter), and fluorescence (side fluorescence). The complexity of neutrophil subsets (nucleus lobularity, granulations) can be assessed by the Neutrophil Granularity Intensity (Neut‐GI) . Activated monocytes among total monocytes and among leukocytes, Act‐Mono absolute count and % of Mono or WBC, respectively, can be quantitated by counting cells with high fluorescence in the area above monocytes on the 3D graph mentioned above.…”

Section: Methodsmentioning

confidence: 99%

“…Within the granulocytic lineage, Neutrophil Reactive Intensity has been reported to be increased in infected adult patients . Moreover, immature granulocytes have also been reported to rise in infected patients .…”

Section: Introductionmentioning

confidence: 98%

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

Henriot

Launay

Boubaya

et al. 2016

Int J Lab Hematology

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Contribution of the new XN‐1000 parameters NEUT‐RI and NEUT‐WY for managing patients with immature granulocytes

Cited by 29 publications

References 6 publications

Changes in novel haematological parameters following thermal injury: A prospective observational cohort study

Changes in novel haematological parameters following thermal injury: A prospective observational cohort study

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

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

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