scholarly journals Stability of Commonly Used Hematological Parameters in Samples Stored at 33°C, 22°C and 4°C

2017 ◽  
Author(s):  
Ashish Jain ◽  
Sanchit Jain ◽  
Neha Singh ◽  
Priyanka Aswal ◽  
Shweta Pal ◽  
...  
Keyword(s):  
Blood Cell ◽  
Cell Count ◽  
White Blood Cell Count ◽  
White Blood Cell ◽  
Red Blood Cell ◽  
Blood Cell Count ◽  
Corpuscular Haemoglobin ◽  
Platelet Counts ◽  
Red Blood Cell Count ◽  
Mean Corpuscular Haemoglobin

AbstractAimThis study aimed to investigate the analytical bias and imprecision in haematological parameters induced by storage at 4°C, 22°C and 33 °C.MethodsThree K2EDTA anticoagulated vials of blood were collected from each of twenty blood donors and stored at 4°C, 22°C and 33°C respectively. Readings from each vial were taken at 0, 4, 6, 12, 24, 48 and 72 hours after collection on the Sysmex XP-100 analyser. The mean and median shift of the parameters relative to the baseline and the coefficient of variation for each time-temperature combination were calculated. The shift was compared to the maximum acceptable bias.ResultsHaemoglobin, Red Blood Cell Count, White Blood Cell Count, Mean Corpuscular Haemoglobin were stable for at least twenty four hours at 33°C. Haematocrit, Mean Corpuscular Volume and Platelet Counts were stable for less than four hours at 33°C. All the above parameters were stable for longer at 22°C and 4°C. The three-part differential count showed instability within four hours at 33 °C.ConclusionsStrict pre-analytical control is needed at 33°C or above due to the marked instability of most parameters. However, Haemoglobin, Red Blood Cell Count, White Blood Cell Count and Mean Corpuscular Haemoglobin remain relatively stable even at 33°C.Key MessageHaematology samples exposed to temperatures of 33°C or above show rapid change in MCV, HCT,MCHC, RDW, Platelet Counts and three-part differential counts. Settings where prolonged exposure to these temperatures cannot be avoided should rely on the more stable parameters of Haemoglobin, RBC Counts, MCH and WBC Counts.

scholarly journals Correlation between normal glucose-6-phosphate dehydrogenase level and haematological parameters

2000 ◽  
Vol 6 (2-3) ◽  
pp. 391-395
Author(s):  
S. K. Ajlaan ◽  
L. M. Al Naama ◽  
M. M. Al Naama
Keyword(s):  
Blood Cell ◽  
Cell Count ◽  
White Blood Cell Count ◽  
White Blood Cell ◽  
Negative Correlation ◽  
Blood Cell Count ◽  
Corpuscular Haemoglobin ◽  
Normal Glucose ◽  
Mean Corpuscular Haemoglobin ◽  
Glucose 6 Phosphate Dehydrogenase

The study involved 143 individuals and aimed to correlate normal glucose-6-phosphate dehydrogenase [G6PD]level with haematological parameters. A statistically significant negative correlation was found between G6PD level and haemoglobin, packed cell volume, red blood cell count, mean corpuscular haemoglobin and mean corpuscular volume. A statistically significant positive correlation was found between G6PD level and white blood cell count and reticulocyte count, but no significant correlation was found between G6PD level and mean corpuscular haemoglobin concentration. The negative correlation between G6PD level and haemoglobin suggests that anaemic people have higher G6PD levels than normal individuals. The positive correlation between G6PD level and white blood cell count indicates that white blood cells may play an important role in contributing to G6PD level

Hematology of Wild Allied Rock-Wallabies, Petrogale-Assimilis Ramsay, 1877 (Marsupialia, Macropodidae), in North Queensland

1992 ◽  
Vol 40 (4) ◽  
pp. 355 ◽  
Author(s):  
PBS Spencer ◽  
R Speare
Keyword(s):  
Blood Cell ◽  
Cell Count ◽  
Cell Volume ◽  
Red Blood Cell ◽  
Packed Cell Volume ◽  
Haemoglobin Concentration ◽  
Blood Cell Count ◽  
Corpuscular Haemoglobin ◽  
Red Blood Cell Count ◽  
Mean Corpuscular Haemoglobin

The haematology of a colony of wild allied rock-wallabies, Petrogale assimilis Ramsay, 1877, from north-western Queensland was studied for 20 months. Wallabies were repeatedly trapped at monthly intervals and 511 blood samples from 96 animals were examined, making this the most comprehensive study of the haematology of any macropod species. The morphology of the red blood cells and leucocytes was similar to those of other marsupials. Large and small lymphocytes were recognised. Binucleate lymphocytes were found in 7.2% of blood smears. Normal haematological values were within the published ranges for other marsupials. However, the average white blood cell count (mean +/- s.e.: 9.03 +/- 0.92 X 10(9) L-1) was close to the upper end of the range for macropods. The normal (mean +/- s.e.) red blood cell count (5.24 + 0.15 X 10(12) L-1), packed cell volume (0.4291 +/- 0.019 L L-1) and haemoglobin concentration (14.07 +/- 0.41 g dL-1) of male wallabies were higher than those of females (4.79 +/- 0.15 X 10(12) L-1, 0.3952 +/- 1.19 L L-1, and 12.95 +/- 0.41 g dL-1, respectively). No gender differences were detected in the white blood cell count (9.03 +/- 0.92 x 10(9) L-1), mean corpuscular volume (82.28 +/- 1.35 fL), mean corpuscular haemoglobin (26.98 +/- 0.57 pg) or mean corpuscular haemoglobin concentration (32.82 +/- 0.57 g L 1). The red blood cell count, packed cell volume, haemoglobin concentration, mean corpuscular haemoglobin, mean corpuscular haemoglobin concentration and the absolute neutrophil count in juveniles and subadults increased with age. The neutrophil to lymphocyte ratio was less than 1.0 in pouch young and approached 1.0 in adults. The red blood cell count, packed cell volume and haemoglobin concentration of lactating females did not vary with age of pounch young.

Haematological Profiles of Pigs on Different Farms Reflect Their Health Status

2021 ◽  
Author(s):  
Irena Golinar Oven ◽  
Alenka Nemec Svete ◽  
Melita Hajdinjak ◽  
Jan Plut ◽  
Marina Stukelj
Keyword(s):  
Health Status ◽  
Blood Cell ◽  
Cell Count ◽  
White Blood Cell ◽  
Haemoglobin Concentration ◽  
Haematological Parameters ◽  
Blood Cell Count ◽  
Blood Samples ◽  
Corpuscular Haemoglobin ◽  
Mean Corpuscular Haemoglobin

Abstract BackgroundHaematological examination is an important diagnostic tool in the assessment of pig health status. The present study aimed to assess haematological parameters in pigs of different age categories from six farrow-to-finish farms differing in herd health status. The following pig categories were included: 5 age groups of growers (5, 7, 9–10, 11 and 12–13 weeks-old), fatteners and breeding pregnant sows. Individual blood samples for determining complete blood count and white blood cell differential count were taken and group samples of oral fluid and faeces were collected from each animal category in each of the six farms and tested for the detection of Porcine Circovirus Type 2 (PCV2), Porcine Reproductive and Respiratory Virus (PRRSV), and Hepatitis E Virus (HEV) using PCR, RT-PCR, and qRT-PCR protocols. Individual blood samples were analysed using an automated laser-based haematology analyser. The following haematological parameters were reported: white blood cell count (WBC), red blood cell count (RBC), haemoglobin concentration (Hb), haematocrit (Hct), mean corpuscular volume (MCV), mean corpuscular haemoglobin (MCH), mean corpuscular haemoglobin concentration (MCHC), platelet count (PLT), and percentage and number of neutrophils, lymphocytes, monocytes, eosinophils, basophils, and "large unstained cells" - LUCs. ResultsOn farms free of PRRSV, PCV2 and HEV, age had significant effect on the following parameters: WBC, Hb, MCH, MCHC, PLT, percentage of neutrophils, lymphocytes and eosinophils and absolute numbers of neutrophils, lymphocytes, monocytes, basophils and LUCs. On farms with PRRS, PCV2 and/or HEV, age significantly affected all observed blood parameters except the percentage of LUCs. The percentages of lymphocytes, MCV and Hct were significantly lower by PRRSV while WBC, PLT, percentage and absolute number of neutrophils, basophils and LUCs increased. Significantly lower percentages of lymphocytes and increased percentages and absolute numbers of neutrophils, eosinophils and basophils were caused by PCV2 presence. Significantly lower percentage of lymphocytes and MCV and increased RBC, Hb, percentage and number of basophils and percentage of neutrophils were caused by HEV. Conclusions Alterations of haematological parameters reflected the health status of pigs of different categories on infected and on non-infected farms. Age-related changes in haematological parameters occurred in clinically healthy and in infected pigs.

scholarly journals Effect of an 1800 MHz electromagnetic field emitted during embryogenesis on the blood picture of one-day-old domestic hen chicks (Gallus gallus domesticus)

2018 ◽  
Vol 87 (1) ◽  
pp. 65-71
Author(s):  
Krzysztof Pawlak ◽  
Bartosz Bojarski ◽  
Zenon Nieckarz ◽  
Marcin Lis ◽  
Tomasz Wojnar
Keyword(s):  
Electromagnetic Field ◽  
Blood Cell ◽  
Cell Count ◽  
Haemoglobin Concentration ◽  
Blood Cell Count ◽  
Blood Picture ◽  
Corpuscular Haemoglobin ◽  
Red Blood Cell Count ◽  
Mean Corpuscular Haemoglobin ◽  
Domestic Hen

Exposure to artificial electromagnetic fields emitted mainly by mobile telephony has been steadily increasing with the development of modern technology. Haematological indices are among the most common indicators of the body’s physiological status. The aim of the study was to determine the effect of an 1800 MHz electromagnetic field emission on the blood picture of one-day-old domestic hen chicks. During the experiment, chick embryos were exposed to artificial electromagnetic fields throughout incubation for 13 ´ 2 min/day, 4 ´ 10 min/day and 1 ´ 40 min/day. After hatching, blood was collected from 10 one-day-old chicks from each group to determine: red blood cell count, haemoglobin concentration, haematocrit, mean corpuscular volume, mean corpuscular haemoglobin, mean corpuscular haemoglobin concentration, white blood cell count, and leukocyte differential count. In addition, the heterophil/lymphocyte ratio was calculated. The present study is probably the first to show an increase in the red blood cell count, haemoglobin concentration, haematocrit, white blood cell count, segmented heterophils and the heterophil/lymphocyte ratio, and a decrease in lymphocyte percentage of embryos exposed to an 1800 MHz electromagnetic field. The observed changes may be indicative of the stress-inducing effect of EMF on living organisms.

Red Blood Cell Variables in Young and Mature High-Trained Football Players

Blood ◽  
2007 ◽  
Vol 110 (11) ◽  
pp. 3749-3749
Author(s):  
Janet G. Grudeva ◽  
Nickolay Boyadjiev ◽  
Zdravko Taralov ◽  
Ilia Batashki
Keyword(s):  
Blood Cell ◽  
Cell Count ◽  
Red Blood Cell ◽  
Football Players ◽  
Working Capacity ◽  
Blood Cell Count ◽  
Corpuscular Haemoglobin ◽  
Group A ◽  
Mean Corpuscular Haemoglobin ◽  
Group B

Abstract A suboptimal values of the haematological variables has often been recorded in young athletes involved in intense physical activity. There have even been reports of “sports anemia” associated with intensive physical training. There are profound studies describing the haematological changes of the soccer players after training or 90 min match. Our previous studies demonstrated lower values of red blood cell count (RBC), packed cell volume (HCT), haemoglobin concentration (HGB) in highly trained football players than in untrained controls of the same pubescent age. THE AIM: It was a matter of interest to evaluate the haematological status of 2314 football players (15.11±2.89 yrs old) and to compare the results for pre-pubescent, pubescent and mature boys recruited in the study and also to relate the values obtained to the individulal aerobic functional capacity. MATERIAS: A total of 2314 highly trained football players were included in the study. Their mean±SD age, weight, and BMI were: 15.11±2.89 yrs, 56.33±13.28 kg, and 19.62±2.58 kg/m2. The sportsmen were divided into three groups in accordance with their age: pre-pubescent (9–14 years) group A (n=1178) − 13.22±1.05 yrs (158.6±12.6 months); pubescent (15–19 years) group B (n=1029) − 16.57±1.04 yrs (198.9±12.6 months); and mature (20–35 years) group C (n=107) − 24.30±3.78 yrs (291.6±45.3 months) old. Profound clinical examination of all sportsmen was performed at the day before obtaining the blood samples. Haematological variables including RBC, HCT, HGB, mean corpuscular volume (MCV), mean corpuscular haemoglobin (MCH), mean corpuscular haemoglobin content (MCHC), white blood cell count (WBC) and platelet count (PLT) were analysed on a Sysmex K800 (Japan) analyser. Each football player passed also PWC170-test for assessment the working capacity on AT-104 Spiro-Ergo equipment (Schiller, Switzerland). RESULTS: All haematological variables in the groups were found in normal ranges, but the RBC was highest in group B (5.17±0.28 *1012/l vs. 5.03±0.28 *1012/l for group A, and 5.08±0.41 *1012/l for group C). Group A demonstrated not only lowest values for the RBC, but also for the HGB (144.7±6.4 g/l vs. 149.1±6.0 g/l for group B, and 151.8±7.5 g/l for group C, P<0.001), and for HCT (0.437±0.02 vs. 0.451±0.02 for group B, and 0.451±0.03 for group C, P<0.001). Group A demonstrated similar values for the above basic red blood cell parameters to these measured for great male group of same age. The pre-pubescent football players (group A) had lower MCV (87.1±2.8 fl), than the players of group B (87.5±2.9 fl) and than the players from group C (88.1±3.0 fl). No evidences for blood dilution as a result of long-term training had been found in groups B and C. There was not difference in the WBC and PLT between pre-pubescent, pubescent and mature footballers. The mature players (C-group) demonstrated higher PWC/kg than pre-pubescent (20.6±2.3 vs. 19.2±2.3 kgm/min/kg), and than pubescent boys (19.8±2.7 kgm/min/kg). Significant correlations were obtained between the age and HGB, and between the age and HCT in groups A (0.19 and 0.19 respectively) and B (0.24 and 0.15 respectively). Good correlations were found between RBC and PWC170/kg in all groups investigated. CONCLUSIONS: Pre-pubescent highly trained football players have lower values of the red blood cell variables than pubescent and mature footballers, which correlates with lower aerobic working capacity.

scholarly journals White Blood Cells and Severe COVID-19: A Mendelian Randomization Study

2021 ◽  
Vol 11 (3) ◽  
pp. 195
Author(s):  
Yitang Sun ◽  
Jingqi Zhou ◽  
Kaixiong Ye
Keyword(s):  
Blood Cell ◽  
Cell Count ◽  
White Blood Cell Count ◽  
White Blood Cell ◽  
Blood Cells ◽  
Mendelian Randomization ◽  
Association Studies ◽  
White Blood Cells ◽  
Genome Wide Association Studies ◽  
Blood Cell Count

Increasing evidence shows that white blood cells are associated with the risk of coronavirus disease 2019 (COVID-19), but the direction and causality of this association are not clear. To evaluate the causal associations between various white blood cell traits and the COVID-19 susceptibility and severity, we conducted two-sample bidirectional Mendelian Randomization (MR) analyses with summary statistics from the largest and most recent genome-wide association studies. Our MR results indicated causal protective effects of higher basophil count, basophil percentage of white blood cells, and myeloid white blood cell count on severe COVID-19, with odds ratios (OR) per standard deviation increment of 0.75 (95% CI: 0.60–0.95), 0.70 (95% CI: 0.54–0.92), and 0.85 (95% CI: 0.73–0.98), respectively. Neither COVID-19 severity nor susceptibility was associated with white blood cell traits in our reverse MR results. Genetically predicted high basophil count, basophil percentage of white blood cells, and myeloid white blood cell count are associated with a lower risk of developing severe COVID-19. Individuals with a lower genetic capacity for basophils are likely at risk, while enhancing the production of basophils may be an effective therapeutic strategy.

Identifying Top Predictors of Change in Noncalcified Coronary Burden in Psoriasis by Machine Learning Over 1-Year

2021 ◽  
pp. 247553032110007
Author(s):  
Eric Munger ◽  
Amit K. Dey ◽  
Justin Rodante ◽  
Martin P. Playford ◽  
Alexander V. Sorokin ◽  
...  
Keyword(s):  
Machine Learning ◽  
Blood Pressure ◽  
Blood Cell ◽  
Cell Count ◽  
White Blood Cell Count ◽  
White Blood Cell ◽  
Severity Index ◽  
Blood Cell Count ◽  
Psoriasis Area Severity Index ◽  
Severity Index Score

Background: Psoriasis is associated with accelerated non-calcified coronary plaque burden (NCB) by coronary computed tomography angiography (CCTA). Machine learning (ML) algorithms have been shown to effectively identify cardiometabolic variables with NCB in cross-sectional analysis. Objective: To use ML methods to characterize important predictors of change in NCB by CCTA in psoriasis over 1-year of observation. Methods: The analysis included 182 consecutive patients with 80 available variables from the Psoriasis Atherosclerosis Cardiometabolic Initiative, a prospective, observational cohort study at baseline and 1-year using the random forest regression algorithm. NCB was assessed at baseline and 1-year from CCTA. Results: Using ML, we identified variables of high importance in the context of predicting changes in NCB. For the cohort that worsened NCB (n = 102), top baseline variables were cholesterol (total and HDL), white blood cell count, psoriasis area severity index score, and diastolic blood pressure. Top predictors of 1-year change were change in visceral adiposity, white blood cell count, total cholesterol, c-reactive protein, and absolute lymphocyte count. For the cohort that improved NCB (n = 80), the top baseline variables were HDL cholesterol related including apolipoprotein A1, basophil count, and psoriasis area severity index score, and top predictors of 1-year change were change in apoA, apoB, and systolic blood pressure. Conclusion: ML methods ranked predictors of progression and regression of NCB in psoriasis over 1 year providing strong evidence to focus on treating LDL, blood pressure, and obesity; as well as the importance of controlling cutaneous disease in psoriasis.

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