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Analysis and Interpretation of Automated Blood Count in the Treatment of Chronic Paracoccidioidomycosis.

Authors :
Brito EDCA
França AO
Siqueira IV
Félix VLT
Rezende AA
Amorim BC
Silva SERD
Mendes RP
Weber SS
Paniago AMM
Source :
Journal of fungi (Basel, Switzerland) [J Fungi (Basel)] 2024 Apr 27; Vol. 10 (5). Date of Electronic Publication: 2024 Apr 27.
Publication Year :
2024

Abstract

Blood count is crucial for assessing bone marrow's cell production and differentiation during infections, gaging disease severity, and monitoring therapeutic responses. The profile of blood count in chronic forms of paracoccidioidomycosis (PCM) has been insufficiently explored. To better understand the changes in hematological cells in different stages of the PCM chronic form, we evaluated the blood count, including immature blood cells in automated equipment, before and during the treatment follow-up of 62 chronic PCM patients. Predominantly male (96.8%) with an average age of 54.3 (standard deviation SD 6.9) years, participants exhibited pre-treatment conditions such as anemia (45.2%), monocytosis (38.7%), and leukocytosis (17.7%), which became less frequent after clinical cure. Anemia was more prevalent in severe cases. Notably, hemoglobin and reticulocyte hemoglobin content increased, while leukocytes, monocytes, neutrophils, immature granulocytes, and platelets decreased. Chronic PCM induced manageable hematological abnormalities, mainly in the red blood series. Monocytosis, indicating monocytes' role in PCM's immune response, was frequent. Post-treatment, especially after achieving clinical cure, significant improvements were observed in various hematological indices, including immature granulocytes and reticulocyte hemoglobin content, underscoring the impact of infection on these parameters.

Details

Language :
English
ISSN :
2309-608X
Volume :
10
Issue :
5
Database :
MEDLINE
Journal :
Journal of fungi (Basel, Switzerland)
Publication Type :
Academic Journal
Accession number :
38786672
Full Text :
https://doi.org/10.3390/jof10050317