Reference intervals of white blood cell parameters for healthy adults in japan

Takami, Akiyoshi; Watanabe, Shinichiro; Yamamoto, Yoshikazu; Miyachi, Hayato; Bamba, Yukiharu; Ohata, Masahiko; Mishima, Seiji; Kubota, Hiroshi; Nishiura, Akihiko; Inaba, Tohru; Enomoto, Megumi; Mitsuhashi, Takayuki; Nakanishi, Kayoko; Miura, Reiko; Nonaka, Emi; Shimbo, Kei; Yatomi, Yutaka; Tohyama, Kaoru

doi:10.1111/ijlh.13486

Cited by 6 publications

(6 citation statements)

References 25 publications

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“…Male had higher eosinophil counts than female. This sex difference has also been observed in healthy individuals 52 . Estrogen inhibits eosinophil production in the bone marrow and induces eosinophil apoptosis 53 , which might explain higher eosinophil counts in men.…”

Section: Discussionsupporting

confidence: 75%

Association between Time-Updated Eosinophil Counts and Progression of CKD

Hattori

Sakaguchi

Oka

et al. 2022

Preprint

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Patients with chronic kidney disease (CKD) have high blood eosinophil count but its clinical implication is uncertain. Since eosinophils may induce tubulointerstitial injury and arteriosclerosis, eosinophilia might be related to poor clinical outcomes. This retrospective cohort study included 2,877 patients whose estimated glomerular filtration rate (eGFR) was 10–60 mL/min/1.73 m2. The exposure was time-updated blood eosinophil counts. The outcomes were 1) initiation of renal replacement therapy (RRT) and 2) cardiovascular events and mortality. We analyzed the associations between eosinophil counts and outcomes using marginal structural models (MSM). Over a median follow-up of 6.5 years, eosinophil counts were measured a median of 22 times per patient (4 times a year per patient). There was a negative correlation between eosinophil count and eGFR. In total, 433 patients initiated RRT, 275 developed cardiovascular events, and 165 died. In MSM, higher eosinophil counts (≥ 289/µL) showed a 1.83-fold (95% confidence interval:1.33–2.51) higher rate of RRT initiation than lower eosinophil counts after adjustment for time-dependent confounders. Higher eosinophil counts were also associated with a higher rate of cardiovascular events and mortality in MSM (hazard ratio, 1.71 [95% confidence interval:1.30–2.25]). In conclusion, patients with CKD who had higher eosinophil counts showed worse kidney outcome.

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Section: Discussionsupporting

confidence: 75%

Association between Time-Updated Eosinophil Counts and Progression of CKD

Hattori

Sakaguchi

Oka

et al. 2022

Preprint

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“…The SE and pPNES groups were different in terms of sex, age, history of epilepsy, and number of medical comorbidities. Prior studies have shown that peripheral cell counts and ratios vary with age and sex 35,36 . Studies have also found differences in lactate levels postictally based on gender and seizure type 24,25 .…”

Section: Discussionmentioning

confidence: 99%

“…Prior studies have shown that peripheral cell counts and ratios vary with age and sex. 35,36 Studies have also found differences in lactate levels postictally based on gender and seizure type. 24,25 After taking these factors into account neutrophils, monocytes, NLR, NMR, SIRI, SII, and lactate remained different between the SE and pPNES groups.…”

Section: Discussionmentioning

confidence: 99%

Development and validation of a peripheral cell ratio and lactate score for differentiating status epilepticus from prolonged psychogenic nonepileptic seizures

Tan,

Sanfilippo,

Colman

et al. 2023

Epilepsia Open

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ObjectiveDifferentiating status epilepticus (SE) from prolonged psychogenic nonepileptic seizures (pPNES) can be difficult clinically. We aimed to define the utility of peripheral cell counts, cell ratios, and lactate levels in distinguishing SE from pPNES.MethodsRetrospective two‐center study investigating the sensitivity and specificity of acute (≤12 h of event offset) peripheral cell counts, cell ratios (neutrophil–lymphocyte ratio, neutrophil–monocyte ratio, monocyte–lymphocyte ratio, platelet–lymphocyte ratio, systemic immune‐inflammatory index [SII], systemic inflammatory response index [SIRI]), and lactate levels in differentiating SE from pPNES. Patients were identified from two tertiary hospitals, with one forming the development cohort and the other the validation cohort. Using generalized additive models to generate biomarker vs time curves, optimal blood collection times were defined for set parameters. Three diagnostic scores combining neutrophil count, SII, or SIRI with lactate levels were developed and validated in separate cohorts.ResultsFor the development cohort, 1262 seizure‐like events were reviewed and 79 SE and 44 pPNES events were included. For the validation cohort, 241 events were reviewed and 20 SE and 11 pPNES events were included. Individually, the biomarkers generally had low sensitivity and reasonable specificity for differentiating SE from pPNES, with the neutrophil count, SIRI, and SII performing best with sensitivities of 0.65–0.84, specificities of 0.64–0.89, and ROC AUCs of 0.78–0.79. Lactate levels peaked at 60 min, while cell counts and ratios peaked after 240 min. Combining early peaking lactate levels and later peaking neutrophil count, SIRI or SII resulted in three scores that improved predictive potential with sensitivities of between 0.75 and 0.79, specificities between 0.93 and 1.00, and ROC AUCs of 0.89–0.91.SignificanceLactate levels peak early post‐SE, whereas cell counts and ratios do so later. The differing post‐event time profiles of lactate levels vs neutrophil count, SIRI, and SII allow incorporation into three separate scores which can assist in differentiating SE from pPNES.

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“…The criterion for the determination of the neutrophil's nuclear lobulations, especially, the distinction between band-and segmented-neutrophils was published (Takami et al 2021) by the Japanese Society for Laboratory Hematology and Japanese Association of Medical Technologists; this criterion has been widely accepted as the standard among actual observers working at clinical laboratories in Japan. Initially, we adopted this criterion to determine the correct label for each neutrophil's image in the Pre-TR and Pre-TE (Table 1).…”

Section: Methodsmentioning

confidence: 99%

Deep Learning-Based Nuclear Lobe Count Method for Differential Count of Neutrophils

Yabuta

Nakamura

Ida

et al. 2021

Tohoku J. Exp. Med.

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Differentiating neutrophils based on the count of nuclear lobulation is useful for diagnosing various hematological disorders, including megaloblastic anemia, myelodysplastic syndrome, and sepsis. It has been reported that one-fifth of sepsis-infected patients worldwide died between 1990 and 2017. Notably, fewer nuclear-lobed and stab-formed neutrophils develop in the peripheral blood during sepsis. This abnormality can serve as an early diagnostic criterion. However, testing this feature is a complex and timeconsuming task that is rife with human error. For this reason, we apply deep learning to automatically differentiate neutrophil and nuclear lobulation counts and report the world's first small-scale pilot. Blood films are prepared using venous peripheral blood taken from four healthy volunteers and are stained with May-Grünwald Giemsa stain. Six-hundred 360 × 363-pixel images of neutrophils having five different nuclear lobulations are automatically captured by Cellavision DM-96, an automatic digital microscope camera. Images are input to an original architecture with five convolutional layers built on a deep learning neural-network platform by Sony, Neural Network Console. The deep learning system distinguishes the four groups (i.e., band-formed, two-, three-, and four-and five-segmented) of neutrophils with up to 99% accuracy, suggesting that neutrophils can be automatically differentiated based on their count of segmented nuclei using deep learning.

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Reference intervals of white blood cell parameters for healthy adults in japan

Cited by 6 publications

References 25 publications

Association between Time-Updated Eosinophil Counts and Progression of CKD

Association between Time-Updated Eosinophil Counts and Progression of CKD

Development and validation of a peripheral cell ratio and lactate score for differentiating status epilepticus from prolonged psychogenic nonepileptic seizures

Deep Learning-Based Nuclear Lobe Count Method for Differential Count of Neutrophils

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