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Central European Journal of Sport Sciences and Medicine
Vol. 47, No. 3/2024
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Citations
1 180
Publications
402
H-index
14
I10-index
29
Mean citedness (2 years)
0.72
Citations received by year
Journal citation chart. Exact values are available in the table below. 2017: 27 2018: 44 2019: 49 2020: 108 2021: 100 2022: 150 2023: 159 2024: 193 2025: 200 2026: 118 2017 2026
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Citations received by year
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20174227
20183344
20193549
202038108
202138100
202231150
202330159
202429193
202530200
202616118

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Leukocyte populations detection in young athletes in resting phase based on scatter properties using a Flow Cytometric approach

DOI: 10.18276/cej.2024.3-03
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ISSN:2300-9705
eISSN:2353-2807
Authors: Ornela Marko ORCID
Department of Movement and Health, Faculty of Physical Activity and Recreation Sports University of Tirana, Rruga Muhamet Gjollesha, 1023, Tirana, Albania

Klotilda Vrenjo ORCID
Department of Education and Health, Faculty of Movement Sciences, Sports University of Tirana, Rruga Muhamet Gjollesha, 1023, Tirana, Albania

Majlind Sulçe ORCID
Department of Morphofunctional Modules, Faculty of Veterinary Medicine, Agricultural University of Tirana, Albania
Keywords: flow cytometry leukocytes populations athletes
Issue / book publication date:2024
Page range:7 (29-35)
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Abstract

Complete blood count analysis has a major importance as a first laboratory evaluation. In particular data obtained from complete blood count are relevant to correctly diagnose and follow up different medical conditions. In athletes, medical examinations and laboratory test are mandatory, especially when a sportive event will soon take place. Different automatic techniques are used to evaluate percentages of different leukocyte populations with a high accuracy. Flow cytometry represents a technology that is mainly used to diagnose different lymphoproliferative and myeloproliferative neoplastic disorders. In this study 127 samples from clinically healthy young athletes were collected and analyzed with both flow cytometry and automatic method to evaluate the usefulness of flow cytometry in detecting different leukocyte populations based on their scatter properties. Results showed that flow cytometry is a reliable technique having showed a high accuracy for different cell populations. Intra class correlation coefficient was >0.80 for all populations showing a high correlation between the two methods. However, a higher number of cases, the involvement of other automatic techniques are mandatory to confirm these results.

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