No abstract available.
Coronary Vessels* ; Erythrocyte Indices*

No abstract available.
Alcoholics* ; Erythrocyte Indices* ; Humans

No abstract available.
Aged* ; Erythrocyte Indices* ; Humans ; Korea*

Background: Bacteremia is a major cause of prolonged hospital stay and mortality in neonates and its early diagnosis remains a challenge to pediatricians. Red cell distribution width (RDW) is a component of a complete blood count test which is accessible and inexpensive and has been reported to be a possible diagnostic marker for neonatal bacteremia. This study determined the association of RDW with neonatal bacteremia in term and preterm neonates. Methodology: This is a retrospective case-control study of 26 bacteremic neonates as cases and 104 non-bacteremic neonates, either symptomatic or with risk factors for bacteremia, as controls. Included newborns were seen between January 1, 2010 to September 30, 2021. Laboratory data obtained were CBC, C-reactive protein and blood culture. Results: RDW values between bacteremic and non-bacteremic neonates were not significantly different. There was an association between RDW and neonatal bacteremia at an RDW level of > 16.1, where the likelihood of bacteremia was three times higher compared with lower RDW values. Significantly lower levels of hemoglobin, hematocrit, RBC count, WBC count, platelet count, MCH and MCHC, and a higher CRP level were seen among bacteremic neonates compared to those who were not. The median RDW for both term and preterm neonates was close to 16, with a narrow inter-quartile range at 1 and 2 for controls and cases, respectively. The range (minimum to maximum) of RDW values of bacteremic preterm neonates was more variable than those of term neonates. Using RDW to detect bacteremia, it had an equivocal discriminatory power or AUC of 0.6056. We found insufficient evidence to demonstrate a correlation between RDW and other CBC parameters, except for MCHC. For MCHC, the results suggest a very weak and indirect correlation. Conclusion RDW was not significantly different between bacteremic and non-bacteremic neonates, but there was a suggested association between RDW and bacteremia at an RDW level of > 16.1, at which level there was a 3-fold risk for bacteremia.
Erythrocyte Indices ; Case-Control Studies

BACKGROUND: Because moving means can be easily shiftable according to their crude data, we made a selective expected ranges to calculate the moving means. Bull's mean (exponential factor, P=0.50) and Exponentially Adjusted Moving Mean (EAMM, P=0.66) were assessed. we studied to determine appropriately expected range and exponential factor. METHODS: We made the target values from RBC indices being measured with H-2 hematology autoanalyzer from 800 patients and the expected range from red cell indices data of additional 600 patients. Both moving means using this expected ranges were calculated. The % difference of Bull's mean and EAMM was compared and total mean of (deltaBull's mean/deltaBatch mean) and (deltaEAMM/deltaBatch mean) was compared. RESULTS: The target values were MCV: 90.6 fL, MCH: 29.8 pg. MCHC: 32.8 g/dL. The expected ranges were within +/-6% of their target values. Among the 20 batches obtained from expected range, there were no above +/-3% difference of red cell indices in both moving means. The comparison between % difference of Bull's mean and that of EAMM showed no difference. Total mean of (deltaEAMM/deltaBatch mean) was higher than that of (deltaBull's mean/deltaBatch mean). CONCLUSIONS: The % difference results of Bull's mean and EAMM were basically similiar within the expected range but EAMM method was more sensitive than Bull's mean method under the aspect of specimen effects, so EAMM was more detectable than Bull's mean on the quality control of red cell indices.
Erythrocyte Indices* ; Hematology ; Humans ; Quality Control

No abstract available.
Anemia, Iron-Deficiency* ; Erythrocyte Indices* ; Iron*

Cardiovascular Diseases ; blood ; Erythrocyte Indices ; Erythrocytes ; Humans

Coronary Artery Disease ; pathology ; Erythrocyte Indices ; Female ; Humans ; Male

This study was undertaken on 120 healthy primary school children (male 60, female 60), who live in a fishing village, Geo-Mun island, Chulla-Namdo, in order to investigate normal value of red blood cell. Ages of the children were ranged from six years to twelve years. The author cheked the number of red blood cell, hemoglobin level, hematcrit, mean corpuscular volume(MCV), mean corpuscular hemoglobin(MCH), and mean corpuscular hemoglobin concentration(MCHC). MCV, MCH, and MCHC were calulated by formula of Wintrobe. The results obtained were as follows; 1. The mean value of RBC count was 4,500,000/mm3(range : 3,470,000-5,850,000/mm3) 2. The mean value of hemoglobin level was 12.5gm/dl(range: 11.0~14.0gm/dl). 3. The mean value of hematcrit was 37.0%(range: 32~42%). 4. The mean value of MCV was 83.5 cub. micron(range 71.0~105.3 cub. micron.) 5. The mean value of MCH was 28.3rr(range: 22.2~39.7rr). 6. The mean value of MCHC was 33.8gm/100ml (range: 32.4~35.9/100 ml).
Child* ; Erythrocyte Indices ; Erythrocytes* ; Female ; Humans ; Reference Values*

OBJECTIVE: To investigate the relationship between iron metabolism and thrombocytosis. METHODS: iron metabolism indexes , erythrocyte and platelet parameters of iron deficiency anemia patients with thrombocytosis were collected, the correlation of platelet parameters with iron metabolism indexes and erythrocyte parameters was analysed; the difference in erythrocyte，platelet and iron parameters between severe anemia group (hemoglobin<60 g / L) and mild and moderate anemia group (hemoglobin≥60 g / L) were compared; the changes of platelet count before and after treatment were observed. RESULTS: There was a significant negative correlation between serum iron and platelet count (r=-0.404,P<0.01).Serum iron negatively correlated with platelet crit(r=-0.288,P<0.05). Transferrin saturation negatively correlated with platelet count and platelet crit(r=-0.353,P<0.01;r=-0.271, P<0.05).Serum ferritin and total iron binding capacity revealed no significant relation with any platelet parameters.Hemoglobin level , hematocrit and mean corpuscular hemoglobin concentration negatively correlated with platelet count(r=-0.239,P<0.05;r=-0.250,P<0.05;r=-0.339,P<0.01).There were differences in iron metabolism indexes and platelet parameters between mild to moderate anemia group and severe anemia group. After treatment, the platelet count decreased or was normal. CONCLUSION The important iron metabolism indexes affecting platelet count are serum iron and transferrin saturation,that is,the severer iron deficiency, the higher platelet count.Patients with more severe and hypochronic anemia has higher platelet count.
Anemia, Iron-Deficiency ; Erythrocyte Indices ; Ferritins ; Hematocrit ; Hemoglobins ; Humans ; Iron