Changes in Automated Complete Blood Cell Count and Differential Leukocyte Count Results Induced by Storage of Blood at Room Temperature

2002 ◽  
Vol 126 (3) ◽  
pp. 336-342
Author(s):  
Gene L. Gulati ◽  
Lawrence J. Hyland ◽  
William Kocher ◽  
Rolland Schwarting
Keyword(s):  
Blood Cell ◽  
Cell Count ◽  
Room Temperature ◽  
Leukocyte Count ◽  
Mean Corpuscular Hemoglobin ◽  
Blood Cell Count ◽  
Normal Range ◽  
Differential Leukocyte Count ◽  
The Mean ◽  
Blood Specimens

Abstract Objective.—To delineate changes that occur in various parameters of automated complete blood cell count (CBC) and differential leukocyte count (differential) on prolonged storage of blood at room temperature. Design.—A CBC and an automated differential were performed on the Coulter Gen.S on 40 K3 (tripotassium ethylenediamine-tetraacetate) EDTA-anticoagulated blood specimens once daily, specimen volume permitting, for 3 to 7 days. Specimens were kept at room temperature throughout the study. The results were tabulated using a personal computer with Excel software. Percent change or absolute difference from the initial value for each parameter for each subsequent day of the study period was calculated. Results.—Among the CBC parameters, hemoglobin, red blood cell count, and mean corpuscular hemoglobin were stable for the duration of the study (7 days), white blood cell count was stable for at least 3 days (up to 7 days, if the count was within or above the normal range), and platelet count was stable for at least 4 days (up to 7 days, if the count was within or above the normal range). The mean corpuscular volume, mean platelet volume, hematocrit, and red blood cell distribution width each increased, and the mean corpuscular hemoglobin concentration decreased from day 2 onward. Among the differential parameters, the relative percentages and absolute numbers of neutrophils, lymphocytes, and eosinophils tended to increase, whereas those of monocytes trended downward over time. Limited data on basophils did not reveal an appreciable change. Conclusion.—Blood specimens stored at room temperature for more than 1 day (up to 3 days or possibly longer) were found to be acceptable with some limitations for CBC but not for the differential.

scholarly journals Efek Merokok Berat terhadap Jumlah Leukosit dan Jenis Leukosit pada Pria Usia Produktif di Kelurahan Tanjung Pinang Kota Palangka Raya

2019 ◽  
Vol 1 (2) ◽  
pp. 34-40
Author(s):  
Rinny Ardina ◽  
Nada Soraya
Keyword(s):  
Blood Cell ◽  
Cell Count ◽  
White Blood Cell Count ◽  
White Blood Cell ◽  
Leukocyte Count ◽  
Sampling Technique ◽  
Blood Cell Count ◽  
Differential Leukocyte Count ◽  
Cross Sectional ◽  
Heavy Smoking

Prevalence of productive men smokers in Kalimantan Tengah in 2013 has been reached 64.9% with a mean of smoking about 12.3 cigarettes a day. Cigarette smoke contains 1015 of oxidative free radicals which can cause oxidative stress. It will trigger of activation of inflammatory genes and increase of cytokines release by increasing of leukocytes and activate some of the differential leukocytes. Continual inflammation can cause atherosclerosis and coronary heart disease. This study aimed to determine the effects of heavy smoking on white blood cell count and differential leukocyte count in productive men in Kelurahan Tanjung Pinang, Palangka Raya. This study used a descriptive observational method with a cross-sectional design. The sample obtained by 28 people with purposive sampling technique with criteria: men, active smoker, smoking more than ten years, working as a farmer, fish farmer, or laborer, and willing to become a respondent. White blood cell count and differential leukocyte count were analyzed by an automatic method using Hematology Analyzer. The results showed that 3.6% of active smokers had high white blood cell count and others had low white blood cell count (3.6% ). Whereas differential leukocyte count showed that 2 persons had high of eosinophils (7.10%), 5 people had low of eosinophils (17.9%), one person had little of neutrophils (3.6%), 2 persons had high of lymphocytes (7.20%), 10 people had little of lymphocytes (35.7%), and 15 people had high of monocytes (53.6%). To reduce the risks, preventive and educative actions from medical personnel are needed for active smokers and their families.

scholarly journals Effect of plateletpheresis on hematocrit, hemoglobin and erythrocyte count: Meta-analysis 1980–2018

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Alejandro Gil-Betacur ◽  
Carmen Yulieth Mantilla-Gutiérrez ◽  
Jaiberth Antonio Cardona-Arias
Keyword(s):  
Blood Cell ◽  
Cell Count ◽  
Red Blood Cell ◽  
Meta Analysis ◽  
Erythrocyte Count ◽  
Blood Cell Count ◽  
Selection Processes ◽  
Negative Effect ◽  
Red Blood Cell Count ◽  
The Mean

AbstractThe effects of platelet donation by apheresis on different parameters of the erythrogram are still unclear. The objective was to meta-analyze the effect of plateletpheresis on hematocrit, hemoglobin, and erythrocyte count, with a systematic review with random effects meta-analysis of the mean difference. The PRISMA guidelines were considered, as well as 133 search strategies on four different databases. Reproducibility was guaranteed and methodological quality was evaluated. Heterogeneity was evaluated with Galbraith and DerSimonian-Laird’s, publication bias with a funnel plot and a Begg’s test, sensitivity analysis and a cumulative meta-analysis were also conducted. Eighteen (18) articles were included, 17 evaluated the effects on hematocrit in 2,564 donors; 13 on hemoglobin in 1,640 donors; and 4 on red blood cell count in 243 donors. A decrease of 2.26% (CI95% = 2.11–2.41) was observed in hematocrit, of 0.80 g/dL (CI95% = 0.75–0.86) in hemoglobin and −0.21 × 1012/L (CI95% = −0.13; −0.29) in red blood cell count. Plateletpheresis has a negative effect on the erythrogram parameters, explained by blood loss in the kits used for the procedure and cell lysis. Such evidence is relevant to secure the efficiency and safety of the procedure, improve selection processes or determine the number of donations that can be performed without affecting donors’ health.

scholarly journals Development of Novel Continuous and Interval Exercise Programs by Applying the FITT-VP Principle in Dogs

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
H. S. Lee ◽  
S. H. Lee ◽  
J. W. Kim ◽  
Y. S. Lee ◽  
B. C. Lee ◽  
...  
Keyword(s):  
Exercise Training ◽  
Blood Cell ◽  
Cell Count ◽  
Mean Corpuscular Hemoglobin ◽  
Reference Ranges ◽  
Blood Cell Count ◽  
Corpuscular Hemoglobin ◽  
Exercise Programs ◽  
Interval Exercise ◽  
Essential Components

Although proper exercise training induces positive physiological effects, improper exercise can lead to injury, fatigue, and poor performance. The frequency, intensity, time/duration, type, volume, and progression (FITT-VP) are the essential components of exercise training to maintain or improve physical fitness and health. The purpose of this study was to develop specific exercise programs by applying the FITT-VP principle and to examine the effects on heart rate (HR) and hematological and biochemical parameters in dogs. The healthy male Beagles (n = 4) included in this study performed continuous and interval exercises, comprising 12 protocols. The HR monitoring elicited an affirmative response to activities but varied depending on the protocols. The hematologic parameters (e.g., red blood cell count, white blood cell count, hemoglobin, mean corpuscular hemoglobin, and mean corpuscular hemoglobin concentration) were within the reference ranges both before and after exercise. The creatine kinase level significantly increased, and the cholesterol level decreased after exercises. In conclusion, the continuous and interval exercise program elicits an appropriate HR reaction, has no adverse effects on the serum parameters, and provides valuable insight for healthcare in dogs.

Heritability of Commonly Measured Blood Cell Phenotypes in the San Antonio Family Heart Study.

Blood ◽  
2007 ◽  
Vol 110 (11) ◽  
pp. 3687-3687
Author(s):  
Kevin R. Viel ◽  
Tom Howard ◽  
Joanne E. Curran ◽  
Laura Almasy ◽  
Eric K. Moses ◽  
...  
Keyword(s):  
Blood Cell ◽  
Cell Count ◽  
San Antonio ◽  
Genetic Influence ◽  
Blood Cell Count ◽  
Distribution Width ◽  
Family Heart Study ◽  
Heart Study ◽  
The Mean ◽  
Cell Phenotypes

Abstract Heritability (h2) indicates the extent to which genes contribute to the observed inter-individual variation in a phenotype. Traits that have a high h2 may be fruitful targets of a subsequent genome screen to identify quantitative trait loci (QTL) and the genetic variants underlying them. We have estimated the heritabilities of measurements that commonly comprise a complete blood cell count (CBC) for members of the San Antonio Family Heart Study (table). The number of white blood cells per μL of blood (WBC) was not under genetic influence (h2 = 0.160, p = 0.253), however, the individual components of the differential (lymphocyte, monocyte, and granulocyte percentage) did appear to be. Red blood cell count (RBC) had the highest heritability (h2 = 0.638, p < 0.001) with both the mean corpuscular volume (MCV) and the red cell distribution width (RDW) demonstrating moderate heritability. The platelet count (Plt) and the mean platelet volume (MPV) had a mild genetic influence that was nominally significant. Currently, the fourth longitudinal examination of this cohort is in progress and to date we have measurements for 154 Mexican American subjects in 16 nuclear families. If prior recruitment rate is maintained, bivariate analyses assessing pleiotropy between traits may be available for presentation. Some of these traits have been investigated previously, but for many these are the first reported h2 estimates to our knowledge. This investigation is a necessary first step to understanding the contributions of genes to these important clinical measurements and to the elucidation of the biological pathways involved in their regulation, which may lead to improved diagnostics and therapies to treat blood cell-related disorders. Heritabilities of commonly measured blood cell phenotypes Phenotype h2 (p-value) 1 Inverse normal transformed value WBC 0.163 (0.253) LY (%) 0.599 (<0.001) MO (%) 0.603 (0.011) GR (%) 0.500 (0.004) RBC 0.638 (<0.001) Hgb 0.283 (0.094) Hct 0.432 (0.023) MCV 0.476 (0.005) MCH 0.429 (0.011) MCHC1 0.249 (0.139) RDW1 0.422 (0.014) Plt 0.290 (0.013) MPV 0.298 (0.006)

scholarly journals Hematological parameters in Nile Tilápia, Oreochromis niloticus exposed to sub-letal concentrations of mercury

2007 ◽  
Vol 50 (4) ◽  
pp. 619-626 ◽  
Author(s):  
Nilton Massuo Ishikawa ◽  
Maria José Tavares Ranzani-Paiva ◽  
Julio Vicente Lombardi ◽  
Cláudia Maris Ferreira
Keyword(s):  
Blood Cell ◽  
Cell Count ◽  
Oreochromis Niloticus ◽  
Hematological Parameters ◽  
Hemoglobin Concentration ◽  
Control Group ◽  
Mean Corpuscular Hemoglobin ◽  
Blood Cell Count ◽  
Corpuscular Hemoglobin ◽  
Set Up

Mercury toxicity in tilapia, Oreochromis niloticus, (Linnaeus, 1758) was investigated by the hematological parameters after long-term (14 days) exposure to various Hg concentrations (0.02, 0.002, 0.0002mg/L Hg). Test groups were set up with three replicates for each concentration, plus the control group. Blood samples were collected from six individuals for each concentration at 0, 3, 7, 10 and 14 days of exposure. The hematological parameters analyzed were: total red blood cell count (RBC), hemoglobin concentration (Hb), hematocrit (Ht), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC), total white blood cell count (WBC) and differential leukocyte counts and total thrombocyte count (Tr). There were no significant differences among the mean hematological values at the different Hg concentrations indicating that Hg at the concentrations studied was not toxic to tilapia.

Correlation of Red Blood Cells and Platelets Parameters.

Blood ◽  
2007 ◽  
Vol 110 (11) ◽  
pp. 3764-3764
Author(s):  
Zoi Saouli ◽  
Georgia Kaiafa ◽  
Fotios Girtovitis ◽  
Zisis Kontoninas ◽  
George Ntaios ◽  
...  
Keyword(s):  
Blood Cell ◽  
Cell Count ◽  
Red Blood Cell ◽  
Blood Cells ◽  
Red Cell ◽  
Blood Cell Count ◽  
Distribution Width ◽  
Mean Values ◽  
Cell Parameters ◽  
The Mean

Abstract INTRODUCTION: Platelet along with red blood cell count is a part of complete blood cell count, one of the most frequent laboratory tests in medicine. Platelet distribution width, plateletcrit and mean platelet volume are three indices provided by hematological analyzers. There are few reports in literature regarding the correlation of these three parameters with red blood cell parameters. AIM: Aim of this study is to investigate the correlation between these platelets parameters and red cell parameters: hematocrit, mean corpuscular volume and red blood cell distribution width. METHODS: Three hundred and three healthy blood donor volunteers (176 men and 127 women, mean age 37,3 years) were included. None of them had any known hematological disease in the past. The parameters mentioned above were measured by the automated hematological analyzer Coulter®LH780. RESULTS: The mean values for platelets were: PCT: 0,25±0,11%, MPV: 8,11±1,94 fL and PDW: 15,89±2,74%. The mean values for their parallel red blood cell parameters were: HCT: 40,55±2,63%), MCV: 91±4,17 fL, RDW: 13,3±1,35% Statistical and regression analysis including the correlation coefficient between platelet and red cell parameters as well as Student’s t-test was carried out. CONCLUSIONS: There seems to be no significant correlation between HCT and PCT. MCV and MPV were not correlated significantly as well, indicating that red blood cell and platelet sizes are independent. But there is a statistically significant correlation between RDW and PDW (r: 0,68, p<0,01) demostrating that anisocytosis of red blood cells and platelets might occur simultaneously. Based on these observations, further more studies should be carried out for the correlation between platelets and red blood cell indices in certain disorders.

scholarly journals Hematological changes in Eleginops maclovinus during an experimental Caligus rogercresseyi infestation

2013 ◽  
Vol 22 (3) ◽  
pp. 402-406 ◽  
Author(s):  
Patricio Peña-Rehbein ◽  
Karin Ruiz ◽  
Alexander Ortloff ◽  
María Isabel Pizarro ◽  
Carolina Navarrete
Keyword(s):  
Blood Cell ◽  
Cell Count ◽  
White Blood Cell Count ◽  
White Blood Cell ◽  
Hemoglobin Level ◽  
Mean Corpuscular Hemoglobin ◽  
Reference Ranges ◽  
Blood Cell Count ◽  
Corpuscular Hemoglobin ◽  
Eleginops Maclovinus

Eleginops maclovinus has been an important fishery resource in Chile since 1957. Caligus rogercresseyi is one of the most prevalent ectoparasite species found on E. maclovinus. Hematocrit, hemoglobin level, red blood cell count (RBC), white blood cell count (WBC), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC) and differential white blood cell count were determined before and after an experimental infestation withC. rogercresseyi. We found significant differences in the hemoglobin level, WBC, MCV, MCH, MCHC, hematocrit level and RBC between infested and uninfested fish. Furthermore correlations between number of C. rogercresseyi with hematocrit, MCHC, neutrophil, eosinophil and lymphocyte counts were found. Hematological reference ranges of E. maclovinus in captivity conditions were also established.

scholarly journals PSIV-27 Peripheral complete blood cell count results in pigs are impacted by gender, sow parity, and farrowing season

2020 ◽  
Vol 98 (Supplement_4) ◽  
pp. 291-292
Author(s):  
Elle Rottman ◽  
Alisun N Watson ◽  
Catherine Buck ◽  
Tsungcheng Tsai ◽  
Jeffery J Chewning ◽  
...  
Keyword(s):  
Blood Cell ◽  
Cell Count ◽  
Whole Blood ◽  
Blood Cells ◽  
White Blood Cells ◽  
Mean Corpuscular Hemoglobin ◽  
Complete Blood Cell Count ◽  
Blood Cell Count ◽  
Corpuscular Hemoglobin ◽  
Cell Counts

Abstract Complete blood cell counts have been used as a diagnostic tool across many animal species including swine. To investigate the factors that cause variation in complete blood cell count results, a total of 2,284 whole blood samples were collected from 2012 to 2019 in preweaning piglets (n = 518), nursery pigs (n = 1,704), and grower pigs (n = 60). Whole blood was collected into K2EDTA blood collection tubes and assayed using an automatic hematologic analyzer within 6 hours of collection. Data were analyzed by Mixed procedure of SAS with gender, parity group, and farrowing season as fixed effects. Body weight and age of pigs served as covariances. Farrowing season was grouped into summer (born during May to October) or winter (or November to April). Pigs that were born from first, second, and third parity, and four and above parity sows were assorted into parity group 1, 2 to 3, and 4+, respectively. Barrows had a greater concentration of total white blood cells (P &lt; 0.01), lymphocytes (P &lt; 0.01), and neutrophils (P &lt; 0.01) compared to gilts. Barrows had lower mean corpuscular volume (P = 0.03), mean corpuscular hemoglobin (P &lt; 0.01), and mean corpuscular hemoglobin concentration (P = 0.02) compared to gilts. Pigs that were farrowed in the winter season had a greater concentration of white blood cells (P = 0.01), neutrophils (P = 0.01), and the percentage of neutrophils (P = 0.03), but were lower in the percentage of lymphocytes (P = 0.03) compared to pigs farrowed during summer. Pigs born to parity four and above sows obtained a greater lymphocyte count (P = 0.01), percentage of neutrophils (P = 0.02), and percentage of lymphocytes (P = 0.01). We concluded that peripheral complete blood cells count results were affected by gender, farrowing season, and sow parity.

scholarly journals The relationship between some biochemical and hematological changes in type 2 diabetes mellitus

2017 ◽  
Vol 4 (11) ◽  
pp. 1760
Author(s):  
Zafer Saad Al Shehri
Keyword(s):  
Diabetes Mellitus ◽  
Blood Cell ◽  
Cell Count ◽  
Control Group ◽  
Blood Cell Count ◽  
Distribution Width ◽  
Mean Values ◽  
Lymphocyte Ratio ◽  
The Mean

Introduction: The aim of this study was to investigate various biochemical and hematological parameters in patients with type 2 diabetes mellitus (T2DM) and compare those with non-diabetic subjects (control group). Subjects: The study was conducted on 405 subjects (ages ranging from 26-65 years old; sex matched) who were classified into two groups: diabetic (n=205 subjects; males-105, females-100) and non-diabetic  subjects (n=200; males-100, females-100). The study was carried out during the period of November 2016 to April 2017 in the Department of Clinical Laboratory Sciences at the College of Applied Medical Science Al-Dawadmi, Shaqra University in Saudi Arabia (with the collaboration of the General Hospital Al-Dawadmi). Methods: The following various parameters were assessed for all subjects: body mass index (BMI), systolic and diastolic blood pressure (SBP-DBP), fasting blood sugar (FBS), serum glutamic pyruvic transaminase (SGPT), alkaline phosphatise (ALP), total cholesterol (T. Ch), triglyceride (TG), low-density lipoprotein (LDL), high density lipoprotein (HDL), hemoglobin (HB), red blood cell count (RBC), hematocrit (Ht), mean corpuscular volume (MCV), mean corpuscle hemoglobin concentration (MCHC), mean corpuscular hemoglobin (MCH), red cell distribution width (RDW), platelet count (Plt), mean platelet volume (MPV), platelet distribution width (PDW), total white blood cell count (WBC), lymphocyte count (L), neutrophil count (N),  eosinophil count (E), monocyte count (M), basophil count (B), neutrophil/lymphocyte ratio (N/L), and platelet/lymphocyte ratio (P/L). Results: The results showed an increase in the mean values of SGPT, alkaline phosphatase, urea, serum creatinine, total cholesterol, triglyceride, and LDL in the T2DM group relative to the control group. Meanwhile, the mean value of HDL was significantly decreased in the T2DM group compared to the control group (p<0.05). The mean values of hemoglobin, RBC, MCV, MCHC and MCH were significantly decreased in the T2DM group compared to the control group. In contrast, the red cell distribution width significantly increased in the T2DM group versus control group (p<0.05). The mean platelet count was not significantly changed in the T2DM group compared to the control group (p> 0.05), but the mean values of PDW and MPV were significantly higher in the T2DM group compared to the control group (p<0.05). The mean white blood cell count and differential white blood cell was significantly higher in the T2DM group compared to control group (p<0.05). Lastly, the mean neutrophil/lymphocyte ratio and platelet/lymphocyte ratio was not significantly different in the T2DM group compared to control group (p>0.05). Conclusion: In diabetes mellitus type 2 patients, certain biochemical and hematological changes are distinct from healthy subjects. It is important to follow up and monitor these parameters carefully in diabetic patients. Peer Review Details Peer review method: Single-Blind (Peer-reviewers: 02) Peer-review policy Plagiarism software screening?: Yes Date of Original Submission: 30 September 2017 Date accepted: 05 November 2017 Peer reviewers approved by: Dr. Lili Hami Editor who approved publication: Dr. Phuc Van Pham  

scholarly journals Comparison of Hematological and Biochemical Profiles of Late Pregnant and Non-Pregnant Mares

2021 ◽  
Vol 22 (1) ◽  
pp. 1-7
Author(s):  
Murat Onur Yazlik ◽  
Ezgi Dikmeoglu ◽  
Arzu Esen ◽  
Ufuk Kaya ◽  
Özgenur Kafkas ◽  
...  
Keyword(s):  
Blood Cell ◽  
Cell Count ◽  
Biochemical Parameters ◽  
Hemoglobin Concentration ◽  
Mean Corpuscular Hemoglobin ◽  
Clinical Practices ◽  
Blood Cell Count ◽  
Corpuscular Hemoglobin ◽  
Mean Cell Volume ◽  
Pregnancy Status

The maternal body must adapt to fetal growth and development during the state of pregnancy for successful foal and mother. Pregnancy status as in other mammals is related to physiology and hematology. This study aimed to compare the hematology profiles and biochemical parameters of late pregnant and non-pregnant mares. Twenty-two mares were included in the study. Mares were divided into two groups according to the pregnancy status. Hematology profile and biochemical parameters were analyzed from blood samples collected from the jugular vein. All data were analyzed using Stata 12/MP4. White blood cell count, lymphocyte, red blood cell count, hemoglobin concentration, hematocrit, monocyte and percentage of monocyte were significantly lower in non-pregnant mares compared to late pregnant mares (P<0.05). No significant differences were noted in values of neutrophil, eosinophil, mean cell volume, mean corpuscular hemoglobin concentration, mean corpuscular hemoglobin, platelet, mean platelet volume, red cell distribution width in both groups (P>0.05). On the other hand, biochemical parameters analysis showed that calcium, total bilirubin, and triglyceride concentrations were greater in late pregnant mares (P<0.05). However, urea, albumin, cholesterol, and magnesium concentrations were similar among groups (P>0.05). In conclusion, the present study showed hematology profile and biochemical parameters differences in late pregnant and non-pregnant mares. These values could be useful in clinical practices to assess the situation of late pregnant mares.

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