Influence of Invasion of Intracellular Parasites on Platelet Response in Dogs Based on Clinical Cases

Snarska, Anna; Pomianowski, A.; Krystkiewicz, Wioletta; Sobiech, Przemysław; Lew, Sylwia; Bednarek, D.

doi:10.2478/v10213-012-0091-4

Cited by 2 publications

(1 citation statement)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Possible reasons are an immune-mediated destruction of the platelets and an increased consumption [ 24 ], co-infections with Ehrlichia spp. [ 26 ] or formation of platelet aggregates [ 27 ]. Thrombocytes appear to also play a major role in the response to human erythrocyte Plasmodium falciparum infections (malaria).…”

Section: Discussionmentioning

confidence: 99%

Identification of parameters and formulation of a statistical and machine learning model to identify Babesia canis infections in dogs using available ADVIA hematology analyzer data

et al. 2022

View full text Add to dashboard Cite

Background Canine babesiosis is an important tick-borne disease in endemic regions. One of the relevant subspecies in Europe is Babesia canis, and it can cause severe clinical signs such as hemolytic anemia. Apart from acute clinical symptoms dogs can also have a more chronic disease development or be asymptomatic carriers. Our objective was to identify readily available ADVIA hematology analyzer parameters suggestive of B. canis parasitemia in dogs and to formulate a predictive model. Methods A historical dataset of complete blood count data from an ADVIA hematology system with blood smear or PCR confirmed parasitemia cases was used to obtain a model by conventional statistics (CS) methods and machine learning (ML) using logistical regression and tree methods. Results Both methods identified that important parameters were platelet count, mean platelet volume and percentage large unstained cells. We were able to formulate a CS model and ML model to screen for Babesia parasitemia in dogs with a sensitivity of 84.6% (CS) and 100% (ML), a specificity of 97.7% (CS) and 95.7% (ML) and a positive likelihood ratio (LR+) of 36.78 (CS) and 23.2 (ML). Conclusions This study introduces two methods of screening for B. canis parasitemia on readily available data from ADVIA hematology systems. The algorithms can easily be introduced in laboratories that use these analyzers. When the algorithm marks a sample as ‘suggestive’ for Babesia parasitemia, the sample is approximately 37 times more likely to show Babesia merozoites on blood smear analysis. Graphical Abstract

show abstract

Section: Discussionmentioning

confidence: 99%