• Childhood Kidney Diseases
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• v.25 no.2
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• pp.84-91
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• 2021

Purpose: We aimed to study the association of plasma neutrophil gelatinase-associated lipocalin (pNGAL) and leukocyte differential count in children with febrile urinary tract infection (UTI). Methods: Medical records of 154 children aged 1 month to 13 years with febrile UTI who were hospitalized were retrospectively reviewed. Associations between pNGAL levels and blood leukocyte differential count at admission and after 48 hours of treatment were investigated in children with or without acute pyelonephritis (APN). Results: The APN group (n=82) showed higher pNGAL levels, neutrophil count, monocyte count, and neutrophil-to-lymphocyte ratio (NLR), compared to the non-APN group (n=72) (all P<0.05). After adjustment for age and sex, pNGAL showed positive correlations with neutrophil count and NLR in both groups (all P<0.05). Additionally, it was correlated with the monocyte-to-lymphocyte ratio (MLR) only in the APN group (P<0.05). Before and after treatment, pNGAL was positively correlated with neutrophil count, NLR, and MLR in patients with APN while it was related with neutrophil count and NLR in those without APN (all P<0.05). Areas under the receiver operating curve of pNGAL, neutrophil count, NLR, and MLR for predicting APN were 0.804, 0.760, 0.730, and 0.636, respectively (all P<0.05). Only pNGAL was independently associated with the presence of APN in a multivariable logistic regression analysis (P<0.05). Conclusion: In children with febrile UTIs, pNGAL might be associated with leukocyte differential count and the presence of APN.

• Tuberculosis and Respiratory Diseases
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• v.45 no.1
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• pp.176-183
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• 1998

Background: The total and differential cell count of bronchoalveolar lavage(BAL) fluid are useful assessing activity, prognosis and response to therapy in diffuse interstitial lung disease. But controversy exist as to the appropriate method in processing BAL fluid. Therefore we investigated the effect of gauze filtration, centrifugation and different storage time of BAL fluid on the total and differential cell count. Methods: We obtained BAL fluid from 6 persons with no active lung lesion and divided pooled BAL fluid into several siliconized glass tubes and filtered through 0, 1, 2, 4 folds of cotton guaze(pore size: 1mm), and compared total cell count using hemocytometer after trypan blue staining and differential cell count after Wright-Giemsa staining of cytocentrifuged preparations. And we also counted total and differential cell count after centrifugation(400g for 30 min) and various storage time(2hr, 24hr, and 48hr). Results: There was no difference in total and differential cell count according to folds of gauze filtraion. But without gauze filtration, mucus threads that hampered total and differential cell count were found in 2 cases (33%). Centrifugation resulted in loss of total cell count($24{\pm}18%$) without change in differential cell count. There was no change in total cell count after 2hr storage but significant cell loss was found after 24hr storage time(24hr : $28{\pm}21%$, 48hr : $41{\pm}24%$). However there was no change in differential cell count with 48hr storage time. Conclusion: Total and differential cell count of BAL fluid may be best performed after cotton gauze filtration without centrifugation and within 2 hours.

• Korean Journal of Clinical Laboratory Science
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• v.37 no.3
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• pp.143-148
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• 2005

Automatic hematology analyzers provide the leukocyte differential count and the useful flags of the various hematological parameters. We compared LH 750 (Beckman Coulter Co., Miami, FL, USA) with manual method on differential leukocyte counts and evaluated the usefulness of the suspect flags, provided by this instrument. The comparison of leukocyte differential counts between two methods showed good correlation coefficient (r), which were 0.95 (neutrophil), 0.92 (lymphocyte), 0.82 (monocyte) and 0.95 (eosinophil). The frequency of the total flags displayed on LH 750 were 15.5%, which included immature granulocyte/left shift 63.5%, nucleated RBC 14.6%, platelet clumps 13.1%, variant lymphocyte 50% and blast 16.6%. This instrument showed higher positive predictive value in the flags such as platelet clumps 68.8%, immature granulocyte/left shift 61.5%, nucleated RBC 27.3%, variant lymphocyte 50% and blast 16.7%. In this study, the leukocyte differential counts of LH 750 showed good correlation with manual method and the suspect flags also showed a good performance for applying the criteria of re-examination in the clinical laboratory.

• Childhood Kidney Diseases
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• v.24 no.2
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• pp.83-90
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• 2020

Purpose: To investigate the association between urinary neutrophil gelatinase-associated lipocalin (uNGAL) and leukocyte differential count in children with urinary tract infections (UTIs). Methods: A retrospective chart review was performed in children undergoing uNGAL measurements between June 2018 and September 2019. Patients with suspected or diagnosed UTIs were included. The relationship between uNGAL and blood leukocyte differential count was investigated in children. Results: A total of 197 children were included in this study, 119 of whom (60%) had UTIs. The non-UTI patients (n=78) were diagnosed with pneumonia, acute gastroenteritis, viral upper respiratory infection, and others. After adjusting for age, gender, and fever duration, the leukocyte count, monocyte count, and uNGAL levels were higher in the UTI group than in the non-UTI group (P<0.05). uNGAL showed positive correlations with neutrophil counts, monocyte counts, the neutrophil-to-lymphocyte ratio, and the monocyte-to-lymphocyte ratio in the UTI group (P<0.05). uNGAL levels were only associated with the neutrophil-to-lymphocyte ratio in the non-UTI group (P<0.05). In a multivariable logistic regression analysis, only uNGAL was associated with the presence of UTI (P<0.05). The area under the receiver operating characteristic curves for uNGAL and monocyte counts to identify UTI were 0.89 (95% confidence interval (CI): 0.824-0.939; P=0.025) and 0.7 (95% CI: 0.627-0.774; P=0.038), respectively. Conclusions: In children with UTIs, uNGAL levels may be associated with blood leukocyte differential counts. uNGAL measurements and monocyte counts can be helpful in children with suspected UTIs.

• The Journal of Pediatrics of Korean Medicine
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• v.24 no.1
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• pp.126-133
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• 2010

Objectives In this study, we evaluated the therapeutic effects of Gami-Bojungikgitang and Gami-Jwagwieum for bleomycin-induced lung fibrosis in mice. Methods Extracted lyophilization, Gami-Bojungikgitang (96g) and Gami-Jwagwieum (118g) boiled, filtered, depressed, concentrated, and are obtained. They were divided into five groups: normal, group IA; Animal group treated with bleomycin observed on the 21th day, group IB; Animal group treated with bleomycin observed on the 42th day, group IIA; Animal group treated with bleomycin and Gami-Bojungikgitang. Gami-Jwagwieum observed on the 21th day, group IIB; Animal group treated with bleomycin and Gami-Bojungikgitang/Gami-Jwagwieum observed on the 42th day. Mice are used on the 42th day and as a result, bronchoalveolar lavages fluid is obtained. Counting total number of cells, different ratio of macrophage, lymphocyte, and neutrophil are established. Results In animal group treated with bleomycin and Gami-Bojungikgitang, total cell count decreased by 50% in 3 weeks compared to animal group with non-administrated Gami-Bojungikgitang. However, total cell count in 6 weeks increased compared to 3 weeks although total cell count still decreased compared to animal group with non-administrated Gami-Bojungikgitang. In the view of differential cell counts in bronchoalveolar lavages fluid in treatment group on 3 and 6 weeks, neutrophile was a few and lymphocyte decreased. In animal group treated with bleomycin and Gami-Jwagwieum, total cell count decreased by 50% in 3 and 6 weeks compared to animal group with non-administrated Gami-Jwagwieum. In the view of differential cell counts in bronchoalveolar lavages fluid in treatment group on 3 and 6 weeks, lymphocyte also decreased. Conclusions Gami-Bojungikgitang and especially Gami-Jwagwieum for bleomycin-induced lung fibrosis in mice were effective in total cell count and differential cell count.

• Korean Journal of Clinical Laboratory Science
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• v.38 no.3
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• pp.147-151
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• 2006

Although various automated CBC analyzers with different WBC analytical principles were consequently introduced to clinical laboratory, the specific information concerning the suitability or unsuitability of aging samples is scarce. For this reason, we studied the effect of storage duration and temperature on CBC parameter in SE-9000 (SYSMEX Medical Electronics Co., Ltd., Kobe, Japan), automated CBC analyzer. We tested 32 K3-EDTA specimens with SE-9000 during 72 hours. Specimens were kept at room temperature (RT) and refrigerated and were analyzed at 0 hr, 4 hr, 8 hr, 24 hr, 48 hr and 72 hr after the collection of the specimens. The percentage changes from initial value for each parameters were calculated. Among the CBC parameters, hemoglobin, red blood cell count, mean corpuscular hemoglobin and platelets were stable for the study period at both temperatures. The mean corpuscular volume (MCV), hematocrit (Hct) and red cell distribution (RDW) increased and the mean corpuscular hemoglobin concentration (MCHC) decreased over time at room temperature. These parameters were stable when refrigerated. The leukocyte count was stable during 72hr at RT and when refrigerated. At room temperature, the relative percentages of neutrophils tend to increase, whereas those of lymphocyte and monocytes tend to decrease after 48 hours. When refrigerated, those of neutrophils and monocytes tend to increase, whereas those of lymphocytes tend to decreased over time. CBC parameters of refrigerated specimen were reliable for 72 hr for the exception of differential count from 24 hr but many CBC parameters, such as MCV, Hct, MCHC, RDW and differential count of leukocyte of blood stored at room temperature for 24 hr were unreliable.

• Korean Journal of Veterinary Research
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• v.33 no.2
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• pp.327-336
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• 1993

Present experiments were undertaken in order to clarify the effect of splenectomy on the hematology and marrow megakaryocyte picture and to know the genesis of postsplenectomy thrombocytosis in dogs. Six mongrel dogs weighing 8.5~18㎏ were used, of which three were splenectomized and the other three were laparotomized for comparison. Erythrocyte count, total and differential leukocyte counts, thrombocyte count and packed cell volume measurement were made using the blood samples. In addition, bone marrow samples obtained from the femur at 7th and 23rd day of the operation were examined for the number per low-power field, the diameter, and the distribution frequency of the megakaryocyte. From these experiments, following results were obtained : Erythrocyte count and packed cell volume showed significant decrease beginning on the 15th day of splenectomy. Total and differential leukocyte counts showed marked increase for the first 2 days of postsplenectomy. The thrombocyte count of splenectomized dogs increased from the 2nd day of the operation, reached to the peak count on the 15th day, and returned to the preoperation count by the 28th day. The megakaryocyte count per low-power field of the biopsied preparation increased in according to the increase in thrombocyte count. The megakaryocyte diameter of splenectomized dog showed no increase on the 7th or 23rd day of the operation. However, the distribution frequency of the larger megakaryocyte was higher in the splenectomized dogs than in the laparotomized dogs. The total plasma protein concentration showed no significant change after splenectomy or laparotomy. From these results, it may be concluded that the postsplenectomy thrombocytosis results from the increased megakaryocytopoesis or the activated thrombocytopoesis of the marrow megakaryocytes.

• Food Science and Biotechnology
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• v.17 no.6
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• pp.1352-1356
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• 2008

Bootstrap method, a computer-intensive statistical technique to estimate the distribution of a statistic was applied to deal with uncertainty and variability of the experimental data in stochastic prediction modeling of microbial growth on a chill-stored food. Three different bootstrapping methods for the curve-fitting to the microbial count data were compared in determining the parameters of Baranyi and Roberts growth model: nonlinear regression to static version function with resampling residuals onto all the experimental microbial count data; static version regression onto mean counts at sampling times; dynamic version fitting of differential equations onto the bootstrapped mean counts. All the methods outputted almost same mean values of the parameters with difference in their distribution. Parameter search according to the dynamic form of differential equations resulted in the largest distribution of the model parameters but produced the confidence interval of the predicted microbial count close to those of nonlinear regression of static equation.

• Asian-Australasian Journal of Animal Sciences
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• v.14 no.5
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• pp.684-692
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• 2001

To find out the effect of oxytocin on somatic cell count and milk production, 12 primiparous and multiparous Murrah buffaloes were selected, immediately after the parturition, from the Institute's buffalo herd. These were divided into two groups of 6 each. Buffaloes of group I did not receive oxytocin injection (control); whereas, buffaloes of group II were administered oxytocin during early lactation (av. 42.50 days). The oxytocin injection was given in doses of 2.5 IU i.m. before the start of milking, to let down the milk, for a period of 5 days. Samples of milk from individual buffaloes were collected for 5 days before (Period I), during (Period II) and after (Period III) from both the group of buffaloes. Milk samples of A. M. and P. M. milking were composited in proposition to milk yields for analysis of milk constituents. Normal values of somatic cell counts in group I of buffaloes varied from 0.54 to $0.75{\times}10^{5}cells/ml$. Mean cytoplasmic particles and epithelial cells varied from 3.68 to $7.19{\times}10^{5}cells/ml$ and 0.13 to $0.54{\times}10^{5}cells/ml$. On percentage basis the epithelial and the total leucocyte count were 60 and 40. Total leucocyte count, in the study varied from 0.17 to $0.69{\times}10^{5}cells/ml$. The differential cell count of milk indicated presence of lymphocytes (16.50 to $61.16{\times}1000$), neutrophil (0.00 to $2.00{\times}1000$) and monocyte (0.00 to $18.16{\times}1000$). Somatic cell count (p<0.01) and epithelial cells (p<0.05) varied between buffaloes and between periods of study. Total leucocyte counts of milk were also significantly varied between periods (p<0.05). The change in fat, lactose, chloride, EC and NEFA concentrations during different periods of study, were highly significant, indicated diurnal variations in different buffaloes during different days of experiment. Administration of oxytocin resulted in increase in somatic cell counts of milk (p<0.01) due to the increases in total leucocyte count (p<0.01) during the treatment period. The differential cell count indicated that oxytocin administration increased lymphocyte number significantly (p<0.01). However, secretion of neutrophil, monocyte and cytoplasmic particles were not affected by oxytocin. Eosinophil and basophil cell, though present in few samples, remain unaffected by oxytocin administration. There was no effect of oxytocin on milk production, composition, pH, EC and NEFA concentration.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.1889-1891
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• 2004

The differential white blood cell count plays an important role in the diagnosis of different diseases. It is a tedious task to count these classes of cell manually. An automatic counter using computer vision helps to perform this medical test rapidly and accurately. Most commercial-available automatic white blood cell analysis composed mainly 3 steps including segmentation, feature extraction and classification. In this paper we concentrate on the first step in automatic white-blood-cell analysis by proposing a segmentation scheme that utilizes a benefit of active contour. Specifically, the binary image is obtained by thresolding of the input blood smear image. The initial shape of active is then placed roughly inside the white blood cell and allowed to grow to fit the shape of individual white blood cell. The white blood cell is then separated using the extracted contour. The force that drives the active contour is the combination of gradient vector flow force and balloon force. Our purposed technique can handle very promising to separate the remaining red blood cells.