Alterations in leucocyte cell population data in bacteraemia: A study from a tertiary care hospital in India

Shekhar, Roshini; Pai, Swati; Srinivasan, Vishrut K.; Srinivas, Venkatappa; Adhikary, Ranjeeta; Bhavana, Malavalli Venkatesh

doi:10.1111/ijlh.13327

Cited by 5 publications

(5 citation statements)

References 9 publications

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“…There have been some reports on the performance of CPD parameters in BSI [7][8][9]. The subjects in these reports were not limited to cancer patients.…”

Section: Discussionmentioning

confidence: 99%

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The Clinical Performance of Cell Population Data for Diagnosis of Bloodstream Infection in Cancer Patients

Aoki,

Watanabe,

Taji

et al. 2023

Cureus

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BackgroundBloodstream infection (BSI) induces a change in the number and morphology of blood cells. In this study, we compared cell population data (CPD) parameters between cancer patients with or without BSI to determine whether these parameters could serve as biomarkers of BSI. MethodsBetween April and June 2021, 43 BSI-negative and 22 BSI-positive cancer patients were enrolled in this study. We compared 18 CPD parameters and biomarkers between cancer patients with BSI-positive and BSInegative. ResultsThere were significant differences in the levels of several CPD parameters, including MO-WZ (p=0.040), MO-X (p<0.01), MO-Y (p=0.012), NE-SFL (p<0.01), and NE-WX (p=0.037), but not C-reactive protein (p=0.347) and procalcitonin (p=0.237) between BSI-positive and BSI-negative patients. The areas under the receiveroperating characteristic curves (AUCs) were above 0.7 for MO-X (0.762; 95% confidence intervals (CI): 0.624-0.901), NE-SFL (0.766; 95% CI: 0.625-0.880).And LY-WY (p=0.024) showed a significant difference between gram-negative and gram-positive BSI patients with high AUC (0.883; 95% CI: 0.703-1). ConclusionCPD parameters (MO-X and NE-SFL) provide additional information for discriminating between BSInegative and BSI-positive BSI. And LY-WY provides useful information for discriminating between cancer patients with gram-negative BSI and gram-positive BSI.

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“…There have been some reports on the performance of CPD parameters in BSI [7][8][9]. The subjects in these reports were not limited to cancer patients.…”

Section: Discussionmentioning

confidence: 99%

“…There have been several recent reports suggesting that CPD parameters provide useful information for the diagnosis of BSI [6][7][8][9]. However, the evaluation of CPD parameters for diagnosis of BSI in cancer patients has not yet been determined using XN Sysmex analyzers.…”

Section: Introductionmentioning

confidence: 99%

The Clinical Performance of Cell Population Data for Diagnosis of Bloodstream Infection in Cancer Patients

Aoki,

Watanabe,

Taji

et al. 2023

Cureus

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“…Buoro S. et al did not find differences in patients from the intensive care unit caused by sepsis in comparison to HC in the NE-FSC parameter value [ 53 ]. Shekhar R. et al noted a reduction in the size of neutrophils expressed by the NE-FSC parameter in patients with bacterial infection compared to the control group [ 54 ]. Lee A.J.…”

Section: Discussionmentioning

confidence: 99%

Neutrophil Maturation, Reactivity and Granularity Research Parameters to Characterize and Differentiate Convalescent Patients from Active SARS-CoV-2 Infection

Kwiecień

Rutkowska

Kulik

et al. 2021

Cells

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Studying the dynamics changes of neutrophils during innate immune response in coronavirus 2019 (COVID-19) can help understand the pathogenesis of this disease. The aim of the study was to assess the usefulness of new neutrophil activation parameters: Immature Granulocyte (IG), Neutrophil Reactivity Intensity (NEUT-RI), Neutrophil Granularity Intensity (NEUT-GI), and data relating to granularity, activity, and neutrophil volume (NE-WX, NE-WY, NE-WZ) available in hematology analyzers to distinguish convalescent patients from patients with active SARS-CoV-2 infection and healthy controls (HC). The study group consisted of 79 patients with a confirmed positive RT-PCR test for SARS-CoV2 infection, 71 convalescent patients, and 20 HC. We observed leukopenia with neutrophilia in patients with active infection compared to convalescents and HC. The IG median absolute count was higher in convalescent patients than in COVID-19 and HC (respectively, 0.08 vs. 0.03 vs. 0.02, p < 0.0001). The value of the NEUT-RI parameter was the highest in HC and the lowest in convalescents (48.3 vs. 43.7, p < 0.0001). We observed the highest proportion of NE-WX, NE-WY, and NE-WZ parameters in HC, without differences between the COVID-19 and convalescent groups. New neutrophil parameters can be useful tools to assess neutrophils’ activity and functionalities in the immune response during infection and recovery from COVID-19 disease.

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“…Neutrophil side fluorescence (NEUT-SFL) is one of the techniques used to characterize neutrophils. In this technique, blood cells are analyzed to obtain cell population data (CPD) and various characteristics of blood cells like granularity, volume, and nucleic acid/protein content [ 13 ], which reveal the morphology and function of different white blood cells [ 14 ]. The Sysmex XN-2000 cell analyzer, used for NEUT-SFL, irradiates cells with a laser wavelength of 633 nm to obtain various CPD [ 15 , 16 ].…”

Section: Introductionmentioning

confidence: 99%

Neutrophil side fluorescence: a new indicator for predicting the severity of patients with bronchiectasis

Jie

et al. 2022

BMC Pulm Med

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Background Neutrophilic inflammation in the airway is a hallmark of bronchiectasis. Neutrophil extracellular traps (NETs) have been reported to play an important role in the occurrence and development of bronchiectasis. Neutrophil side fluorescence is one of the characteristics of neutrophils that can reflect the activation of neutrophils and the formation of NETs. Objective To explore the relationship between the values of neutrophil side fluorescence (NEUT-SFL) in the peripheral blood of bronchiectasis patients, and the severity of the disease. Methods 82 patients with bronchiectasis from the Department of Respiratory and Critical Medicine, at the Third Affiliated Hospital of Southern Medical University and were scored with Bronchiectasis Severity Index (BSI) (2019–2021). The clinical data such as the value of NEUT-SFL, neutrophil count, C-reactive protein, and procalcitonin levels were collected and retrospectively analyzed. NEUT-SFL values neutrophil count from 28 healthy subjects were also used to ascertain cut-off values. Results Based on the BSI scores, patients were divided into three categories as mild (32%), moderate (29%), and severe (39%). Our results showed that the values of NEUT-SFL were higher in bronchiectasis patients compared to healthy controls. The levels of NEUT-SFL positively correlated with the high BSI scores in patients (P = 0.037, r = 0.23) and negatively correlated with the lung function in these patients (r = − 0.35, P = 0.001). The area under the ROC curve was 0.813, the best cut-off was 42.145, indicating that NEUT-SFL values > 42.145 can potentially predict the severity of bronchiectasis. Conclusions The values of NEUT-SFL in the peripheral blood can be used for predicting the severity of bronchiectasis.

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Alterations in leucocyte cell population data in bacteraemia: A study from a tertiary care hospital in India

Cited by 5 publications

References 9 publications

The Clinical Performance of Cell Population Data for Diagnosis of Bloodstream Infection in Cancer Patients

The Clinical Performance of Cell Population Data for Diagnosis of Bloodstream Infection in Cancer Patients

Neutrophil Maturation, Reactivity and Granularity Research Parameters to Characterize and Differentiate Convalescent Patients from Active SARS-CoV-2 Infection

Neutrophil side fluorescence: a new indicator for predicting the severity of patients with bronchiectasis

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