Citologic characteristics of hemolytic anemia in dogs and cats – review

2021 ◽  
Vol XXVI (150) ◽  
pp. 70-84
Author(s):  
Aline Moreira de Souza

Precise diagnosis and treatment of hemolytic anemia is a challenge to veterinarians. Toxins, infectious, and autoimmune diseases can cause hemolytic anemia in dogs and cats. Blood smears provide information that can assist in the diagnosis and help to identify the possible etiology of the condition. In many veterinary clinics, the introduction of automated blood cell count has led to abandoning the routine of evaluating blood smears. This article reviews the citologic characteristics of different types of hemolytic anemias in dogs and cats.

2017 ◽  
Vol 5 (5) ◽  
pp. 221-231
Author(s):  
Muhamed Katica ◽  
Nedzad Gradascevic

The laboratory rat, as important biomedical model, was often fed with unconventional diet usually made up of products from the bakery industry. Such diet consisted of insufficient caloric and nutritionally unbalanced meals could cause unreliable results in biomedical research. The study investigates the effects of malnutrition on the haematological profile of rats. The study is performed on Wistar male and female rats which were fed for 4 weeks exclusively with bakery products ad libidum. The following hematological parameters were observed in peripheral blood smears: red blood cell count, content of haemoglobin, haematocrit, MCV, MCH, MCHC, white blood cell count, differential blood count, diameter of red blood cells, as well as the presence of atypical forms of red blood cells. Despite there were no statistically significant differences in overall haematological results (p > 0.05, with > 0.05), the significant part of obtained results were below physiological limits (HGB, MCHC and MCH). Other haematological parameters, including white blood corpuscles were kept in physiological limits, except for mild neutrophils in males. Also, the forms of anulocytes and spherocytes were recorded in peripheral blood smears. The results indicated the beginning of normocytic hypochromic anaemia which was caused by unbalanced meals.


Hematology ◽  
2008 ◽  
Vol 2008 (1) ◽  
pp. 35-35 ◽  
Author(s):  
Richard L. Haspel ◽  
Peter Hillmen

Abstract A 45-year-old woman presents for evaluation as a result of persistent anemia. Ultimately, she is diagnosed with hemolytic anemia ascribed to paroxysmal nocturnal hemoglobinuria. She is otherwise well and has an otherwise normal complete blood cell count. She requires transfusion about once every 6 weeks for symptomatic anemia. She wonders whether she would benefit from eculizumab.


2022 ◽  
Vol 2022 ◽  
pp. 1-13
Author(s):  
Sarang Sharma ◽  
Sheifali Gupta ◽  
Deepali Gupta ◽  
Sapna Juneja ◽  
Punit Gupta ◽  
...  

Blood cell count is highly useful in identifying the occurrence of a particular disease or ailment. To successfully measure the blood cell count, sophisticated equipment that makes use of invasive methods to acquire the blood cell slides or images is utilized. These blood cell images are subjected to various data analyzing techniques that count and classify the different types of blood cells. Nowadays, deep learning-based methods are in practice to analyze the data. These methods are less time-consuming and require less sophisticated equipment. This paper implements a deep learning (D.L) model that uses the DenseNet121 model to classify the different types of white blood cells (WBC). The DenseNet121 model is optimized with the preprocessing techniques of normalization and data augmentation. This model yielded an accuracy of 98.84%, a precision of 99.33%, a sensitivity of 98.85%, and a specificity of 99.61%. The proposed model is simulated with four batch sizes (BS) along with the Adam optimizer and 10 epochs. It is concluded from the results that the DenseNet121 model has outperformed with batch size 8 as compared to other batch sizes. The dataset has been taken from the Kaggle having 12,444 images with the images of 3120 eosinophils, 3103 lymphocytes, 3098 monocytes, and 3123 neutrophils. With such results, these models could be utilized for developing clinically useful solutions that are able to detect WBC in blood cell images.


1992 ◽  
Vol 68 (05) ◽  
pp. 583-588 ◽  
Author(s):  
Annika Dotevall ◽  
Christina Rångemark ◽  
Elsa Eriksson ◽  
Jack Kutti ◽  
Hans Wadenvik ◽  
...  

SummarySmoking is a risk factor for the development of atherosclerotic cardiovascular disease, in men as well as in women. An increased urinary excretion of the thromboxane metabolite 2,3-dinor-thromboxane B2 (Tx-M) has been observed in smokers of both genders, suggesting that cigarette smoking may facilitate cardiovascular disease via an action on the platelets. The present study addressed the hypothesis that the increased Tx-M excretion in female smokers reflects a true facilitation of platelet reactivity in vivo, rather than an increased destruction of the platelets. In healthy female volunteers (aged 20–46 years, 18 smokers and 17 non-smokers) platelet life-span and indices of platelet activity were determined, together with plasma levels of plasminogen activator inhibitor-1 (PAI-1), fibrinogen, peripheral blood cell counts and hematocrit. The urinary excretion of Tx-M was higher in smokers than in non-smokers (361 vs. 204 pg/mg creatinine, respectively, p <0.05), while plasma and urinary β-thromboglobulin, plasma platelet factor 4, platelet mean life-span and platelet production rate did not differ between the groups. PAI-1 activity, white blood cell count and hematocrit were higher in smokers than in non-smokers (p <0.05). These data indicate that smoking facilitates platelet formation of thromboxane A2 without affecting platelet survival; i.e. it increases the activity of platelets without affecting their viability to a measurable extent. Such an increase in platelet activity, operating in parallel to a reduced fibrinolytic activity and a higher hematocrit and white blood cell count, may play an etiological role in smoking-induced cardiovascular disease in women.


2018 ◽  
Vol 12 (2) ◽  
pp. 46-52 ◽  
Author(s):  
A.I. Varlamova

The purpose of the research: study of the influence of increased doses of fenbendazole supramolecular complex (FSMC) on sheep’s organism. Materials and methods. The experiment was carried out at the Podolsk Department of All-Russian Scientific Research Institute of Fundamental and Applied Parasitology of Animals and Plants named after K. I. Skryabin on 20 manorial invasion-free sheep aged 2-3 years old. Animals were divided according to the principle of analogues into 4 groups, 5 heads in each group. Animals of the 1, 2 and 3 group were orally administered with FSMC given as a single dose of 2, 6, 10 mg/kg, respectively, according to the active substance, i.e in therapeutic and in a dose increased by 3 and 5 times. Sheep of the fourth group didn’t receive the drug and they were as control. Study of clinical, hematological and biochemical parameters of animals from all groups was conducted 1 day before and in 1, 3, 5 days after administration of the drug by means of standard methods. Results and discussion. FSMC in therapeutic dose as well as in a dose increased by 3 and 5 times doesn’t have negative influence on clinical, hematological and biochemical parameters of the sheep. State of the sheep, which received the drug in doses of 20, 60, 100 mg/kg, was within the physiologically normal state and didn’t differ from the state before administration of the drug and from the animals of the control group. Drug security index exceeds 5. Red blood cell count, white blood cell count, hemoglobin count, leukogram parameters as well as biochemical parameters of blood: activity of alkaline phosphatase and amylase, bilirubin, creatinine, urea and glucose counts were within normal limits and didn’t differ from the parameters of the control animals.


2021 ◽  
Vol 11 (3) ◽  
pp. 195
Author(s):  
Yitang Sun ◽  
Jingqi Zhou ◽  
Kaixiong Ye

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.


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