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 < 0.01), lymphocytes (P < 0.01), and neutrophils (P < 0.01) compared to gilts. Barrows had lower mean corpuscular volume (P = 0.03), mean corpuscular hemoglobin (P < 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 Hematology, Biochemistry Reference Intervals, and Morphological Description of Peripheral Blood Cells for a Captive Population of Crocodylus intermedius in Colombia

2021 ◽  
Vol 8 ◽  
Author(s):  
Steven Barajas-Valero ◽  
Cristian Rodríguez-Almonacid ◽  
Zulma Rojas-Sereno ◽  
Carlos Moreno-Torres ◽  
Nubia E. Matta
Keyword(s):  
Alkaline Phosphatase ◽  
Blood Cell ◽  
Cell Count ◽  
Blood Cells ◽  
Reference Intervals ◽  
Morphological Description ◽  
Mean Corpuscular Hemoglobin ◽  
Peripheral Blood Cells ◽  
Blood Cell Count ◽  
Corpuscular Hemoglobin

The Orinoco crocodile (Crocodylus intermedius, Graves, 1918) is the most threatened crocodilian of South America. There is only scarce information available about the physiology of this neotropical crocodile. This study aimed to propose baseline hematological and biochemistry reference data and intervals and a morphological description of the peripheral blood cells of captive C. intermedius. Blood was collected from 318 clinically healthy individuals maintained in captivity at Villavicencio, Colombia. Eight of these individuals were sampled and resampled, and these data were compared. Reference intervals were proposed for hematological values [packed cell volume (PCV), red blood cell count, white blood cell count, mean corpuscular volume, mean corpuscular hemoglobin, mean corpuscular hemoglobin concentration, hemoglobin, and white blood cell count differential counts] and biochemistries [total solids, alanine aminotransferase (ALT), aspartate aminotransferase, alkaline phosphatase, lactate dehydrogenase, creatine kinase, glucose, albumin, cholesterol, uric acid, creatinine, and lactate] including adults and juveniles, males and females' crocodiles. Blood cell morphology for the species is described. Significant differences between sex and age were observed. The intraindividual analysis concluded differences for total solids (P ≤ 0.01) and red blood cell counts (P ≤ 0.01). Some biochemical analytes showed a moderate correlation between them, such as ALT–alkaline phosphatase and ALT–uric acid. We present here novel and baseline data with special importance for the clinical diagnosis, improving the national reintroduction programs from either in situ and ex situ populations.

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.

scholarly journals Blood Cell Count Using Deep Learning Semantic Segmentation

2019 ◽  
Author(s):  
Thanh Tran ◽  
Lam Binh Minh ◽  
Suk-Hwan Lee ◽  
Ki-Ryong Kwon
Keyword(s):  
Deep Learning ◽  
Blood Cell ◽  
Cell Count ◽  
Blood Cells ◽  
Blood Smear ◽  
White Blood Cells ◽  
Semantic Segmentation ◽  
Peripheral Blood Smear ◽  
Cell Counting ◽  
Blood Cell Count

Clinically, knowing the number of red blood cells (RBCs) and white blood cells (WBCs) helps doctors to make the better decision on accurate diagnosis of numerous diseases. The manual cell counting is a very time-consuming and expensive process, and it depends on the experience of specialists. Therefore, a completely automatic method supporting cell counting is a viable solution for clinical laboratories. This paper proposes a novel blood cell counting procedure to address this challenge. The proposed method adopts SegNet - a deep learning semantic segmentation to simultaneously segment RBCs and WBCs. The global accuracy of the segmentation of WBCs, RBCs, and the background of peripheral blood smear images obtains 89% when segment WBCs and RBCs from the background of blood smear images. Moreover, an effective solution to separate grouped or overlapping cells and cell count is presented using Euclidean distance transform, local maxima, and connected component labeling. The counting result of the proposed procedure achieves an accuracy of 93.3% for red blood cell count using dataset 1 and 97.38% for white blood cell count using dataset 2.

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.

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.

scholarly journals White blood cells and severe COVID-19: a Mendelian randomization study

2020 ◽  
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 ◽  
White Blood Cells ◽  
Causal Effects ◽  
Blood Cell Count ◽  
Granulocyte Count

AbstractBackgroundThe pandemic of coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has rapidly emerged to seriously threaten public health. We aimed to investigate whether white blood cell traits have potential causal effects on severe COVID-19 using Mendelian randomization (MR).MethodsTo evaluate the causal associations between various white blood cell traits and severe COVID-19, we conducted a two-sample MR analysis with summary statistics from recent large genome-wide association studies.ResultsOur MR results indicated potential causal associations of white blood cell count, myeloid white blood cell count, and granulocyte count with severe COVID-19, with odds ratios (OR) of 0.84 (95% CI: 0.72-0.98), 0.81 (95% CI: 0.70-0.94), and 0.84 (95% CI: 0.71-0.99), respectively. Increasing eosinophil percentage of white blood cells was associated with a higher risk of severe COVID-19 (OR: 1.22, 95% CI: 1.03-1.45).ConclusionsOur results suggest the potential causal effects of lower white blood cell count, lower myeloid white blood cell count, lower granulocyte count, and higher eosinophil percentage of white blood cells on an increased risk of severe COVID-19.

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 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.

Complete Blood Cell Counts and Infection

PEDIATRICS ◽  
1981 ◽  
Vol 68 (2) ◽  
pp. 305-305
Author(s):  
Walt Karniski
Keyword(s):  
Medical Student ◽  
Blood Cell ◽  
Cell Count ◽  
Medical Practice ◽  
Complete Blood Cell Count ◽  
Blood Cell Count ◽  
Cell Counts ◽  
Blood Cell Counts ◽  
Viral Illness

I remember reading Todd's article1 as a medical student and feeling that he had simplified medical practice considerably, by "proving" that a complete blood cell count (CBC) could accurately distinguish between any child with bacteremia and a child with a viral illness. The article by Baron and Fink2 brought that memory to mind again, and therefore necessitates words of caution. When considering the efficacy of a test, it is helpful to consider a two-by-two table as follows, in which the Baron and Fink data are presented:

scholarly journals Analysis of Platelet-Rich Plasma Extraction

2017 ◽  
Vol 5 (1) ◽  
pp. 232596711667527 ◽  
Author(s):  
Jane Fitzpatrick ◽  
Max K. Bulsara ◽  
Paul Robert McCrory ◽  
Martin D. Richardson ◽  
Ming Hao Zheng
Keyword(s):  
Blood Cell ◽  
Cell Count ◽  
White Blood Cell Count ◽  
White Blood Cell ◽  
Blood Cells ◽  
Platelet Rich Plasma ◽  
White Blood Cells ◽  
Clinical Use ◽  
Blood Cell Count ◽  
High Concentrations

Background: Platelet-rich plasma (PRP) has been extensively used as a treatment in tissue healing in tendinopathy, muscle injury, and osteoarthritis. However, there is variation in methods of extraction, and this produces different types of PRP. Purpose: To determine the composition of PRP obtained from 4 commercial separation kits, which would allow assessment of current classification systems used in cross-study comparisons. Study Design: Controlled laboratory study. Methods: Three normal adults each donated 181 mL of whole blood, some of which served as a control and the remainder of which was processed through 4 PRP separation kits: GPS III (Biomet Biologics), Smart-Prep2 (Harvest Terumo), Magellan (Arteriocyte Medical Systems), and ACP (Device Technologies). The resultant PRP was tested for platelet count, red blood cell count, and white blood cell count, including differential in a commercial pathology laboratory. Glucose and pH measurements were obtained from a blood gas autoanalyzer machine. Results: Three kits taking samples from the “buffy coat layer” were found to have greater concentrations of platelets (3-6 times baseline), while 1 kit taking samples from plasma was found to have platelet concentrations of only 1.5 times baseline. The same 3 kits produced an increased concentration of white blood cells (3-6 times baseline); these consisted of neutrophils, leukocytes, and monocytes. This represents high concentrations of platelets and white blood cells. A small drop in pH was thought to relate to the citrate used in the sample preparation. Interestingly, an unexpected increase in glucose concentrations, with 3 to 6 times greater than baseline levels, was found in all samples. Conclusion: This study reveals the variation of blood components, including platelets, red blood cells, leukocytes, pH, and glucose in PRP extractions. The high concentrations of cells are important, as the white blood cell count in PRP samples has frequently been ignored, being considered insignificant. The lack of standardization of PRP preparation for clinical use has contributed at least in part to the varying clinical efficacy in PRP use. Clinical Relevance: The variation of platelet and other blood component concentrations between commercial PRP kits may affect clinical treatment outcomes. There is a need for standardization of PRP for clinical use.

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