No abstract available.
Agglutinins ; Blood Cell Count

No abstract available.
Agglutinins ; Blood Cell Count

No abstract available.
Blood Cell Count*

INTRODUCTION: Complete blood count (CBC) and cell population data (CPD) are hematologic parameters used in several clinical scenarios including infection and neoplastic processes. In the setting of COVID-19 infection, there is relative paucity of data in their use as possible prognostic markers. OBJECTIVE: We aim to evaluate the utility of the baseline CBC and CPD as prognostic markers for in-hospital mortality among COVID-19 patients admitted in Philippine General Hospital from March 2020 to January 2022. METHODOLOGY: This is a case-control study. Expired patients served as cases, and recovered patients served as controls. Data from eligible patients including age, sex, admitting COVID diagnosis with severity, final disposition, baseline CBC and CPD results were collected from the hospital medical records and hematology section of the Department of Laboratories. Statistical analyses were done to determine the prognostic value of these parameters for in-hospital mortality. RESULTS: Among the different CBC and CPD parameters, the study shows total white blood cell (WBC) count, absolute neutrophil count (ANC), absolute eosinophil count (AEC), and neutrophil-lymphocyte ratio (NLR) were statistically significant predictors for in-hospital mortality. For total WBC count, at a cut off 9.9 x 10 9 /L, the sensitivity and specificity is 70.9% and 66.2%, respectively. For ANC, at a cut off of 7.3 x 10 9 /L, the specificity is 76.4% and the specificity is 68.2%. At a cut off of 7.62, the NLR shows a sensitivity of 76.4% and specificity of 70.1%. For AEC, at a cut off of 0.006 x 10 9 /L, the sensitivity is 53.3% and the specificity is 87.3%. AEC predicts towards the direction of survival rather than to the direction of in-hospital mortality. CONCLUSION The total WBC count, ANC, and NLR were statistically significant predictors for in-hospital mortality, while AEC predicts towards the direction of survival. The sensitivities and specificities of the cut off for these parameters were less than ideal. Correlation with clinical and other laboratory parameters is still recommended. For future studies, the authors recommend monitoring CBC and CPD parameters at different time points during the patients’ hospital course.
COVID-19 ; hematology ; blood cell count ; complete blood count ; prognosis

BACKGROUND: Platelet clumping is a common cause of erroneous platelet counts by automated blood cell counter. The most commonly employed solution to this problem is to redraw the specimen into a different anticoagulant. However, this is unpleasant for the patient and not rapid for reporting of the corrected platelet count. Mixing of blood with a vortex mixer was evaluated as a method to disaggregate platelet clumps in blood and thus obtain accurate platelet counts. METHODS: Whole blood samples coated with ethylenediaminetetraacetic acid (EDTA) from 28 patients with platelet clumping and 20 controls without platelet clumping from July to September 2002 were mixed for 30 seconds with a vortex mixer. Platelet counts, blood smears, erythrocyte counts, Hgb, MCV and total leukocyte counts were evaluated before and after mixing. RESULTS: Vortex mixing of blood samples with platelet clumps caused an increased platelet count in 96% (27/28) and a decreased total leukocyte count in 68% (19/28). The mean platelet and total leukocyte counts of 28 blood samples before mixing were 155.0+/-89.6 (x10(3)/microL) and 12.9+/-5.5 (x10(3)/microL) and after mixing they were 249.2+/-116.2 (x10(3)/microL) and 12.0+/-5.4 (x10(3)/microL). Total erythrocyte counts, Hgb, MCV were not significantly affected by vortex mixing. Further, vortex mixing of 20 control samples had no consistent effect on each items. CONCLUSIONS: Vortex mixing of blood samples is a simple, rapid method without re-sampling in correction of erroneous platelet count induced by platelet clumps.
Blood Cell Count ; Blood Platelets ; Edetic Acid ; Erythrocyte Count ; Humans ; Leukocyte Count ; Platelet Count*

Two trials were conducted with proficiency tests for complete blood cell count (CBC) and blood cell morphology as part of the 2018 Routine Hematology Program of the Korean Association of External Quality Assessment Service. Three different control samples were sent for CBC testing and two blood cell morphology pictures were posted on the laboratory website during each trial. The mean response rates of the 1,719 participating laboratories were 97.4% and 37.2% for CBC and blood cell morphology, respectively. The distribution of equipment for CBC testing was comparable to that of the previous year. The coefficient of variation (CV) ranges were determined as 3.5%–4.1%, 1.9%–2.7%, 1.4%–2.8%, 4.5%–5.3%, and 5.4%–6.9% for white blood cell counts, red blood cell counts, hemoglobin, hematocrit, and platelet counts, respectively. The concordance rate ranged from 83.0% to 97.5% in blood cell morphology tests. We observed a continuous increase in the number of participating laboratories and a trend towards a decrease in the CVs of platelet counts compared to those in 2016. Values of the other assessed parameters were similar to those of the previous year.
Blood Cell Count ; Blood Cells ; Erythrocyte Count ; Hematocrit ; Hematology ; Laboratory Proficiency Testing ; Leukocyte Count ; Platelet Count

Four trials of external quality assessment in diagnostic hematology were performed in 2004 with about 440 participating laboratories in Korea. We performed quality assessment for white blood cell count, hemoglobin, red blood cell count, platelet count, white cell differential count, red blood cell morphology and coagulation test. The response rate was more than 96%. The coefficients of variation in hemoglobin and RBC number was stable but variable in platelet number and WBC number according to measuring cell counts. Blood coagulation study was performed twice. Test results show wide variation according to measuring machine and reagents.
Blood Coagulation ; Cell Count ; Equidae* ; Erythrocyte Count ; Erythrocytes ; Hematology* ; Indicators and Reagents ; Korea* ; Leukocyte Count ; Platelet Count

The study was undertaken to evaluate the effect of major blood components on the CT number. The CT numbers according to the various levels of hematocrit, total protein and cholesterol were checked and analysed by the dilution of pack cell, plasma and 184 complete blood cell count samples under same scanning conditions. In case of normal protein and cholesterol level(33 samples), the CT number was increased about 5.5 hounsfield unit according to 10% increase of hematocrit level: and In case of normal hematocrit and cholesterol level(39 samles), the CT number was increased about 3.5 hounsfield unit according to 1gm% increase of protein level. CT number changes were not predictable according to the changes of cholesterol level(34 samples). From these results, we concluded that major blood components should be considered in the CT number analysis of tissue.
Blood Cell Count ; Cholesterol ; Hematocrit ; Plasma Cells

No abstract available.
Blood Cell Count* ; Plasmodium vivax* ; Plasmodium*

Incidentally, hemoglobin (Hb) variants can be detected using HbA1c tests in clinical laboratories. We found 38 patients with Hb variants after reviewing a total of 29,398 HbA1c test results from January 2017 to December 2017. While reviewing the complete blood count results of the patients (N=36) using the Sysmex XN-9000 analyzer (Sysmex, Japan), 35 patients were flagged as unremarkable with respect to differential white blood cell (WBC) counts. However, 1 patient with a normal WBC count did not obtain a differential WBC count while being flagged for an abnormal WBC scattergram in the white blood cell differential (WDF) channel. The WBC histogram showed an abnormally low fluorescent signal in the WDF channel; however, the differential WBC count was normal upon microscopic examination. After testing the patient's buffy coat suspended in normal saline and removing red blood cells (RBCs), the WBC scattergram and differential WBC count returned to normal. This finding suggests that the presence of a patient's RBCs may affect WBC scattergrams and Hb variants may interfere with the fluorescent dye in the differential WBC count. Therefore, when an abnormal WBC scattergram with an abnormally low fluorescent signal is encountered on the Sysmex XN-9000 analyzer, the presence of an Hb variant can be suspected.
Blood Cell Count ; Erythrocytes ; Hematology ; Humans ; Leukocytes