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DOI 10.1017/s0022149x23000755

Медицинская библиотека · Journal of helminthology · 2023

Comparative analysis of diagnostic methods and risk factors for Aelurostrongylus abstrusus infection in brazilian cats.

Fagundes-Moreira R, Silveira E, Baggio-Souza V, Marques S M T, Vidor S B, de Jezus Castro S M, Spanamberg A, Henker L C, Pavarini S P, Soares J F, da Costa F V A

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Аннотация

This study aimed to prospectively evaluate the risk factors of infection by Aelurostrongylus abstrusus in Brazilian cats with cough and/or radiographic changes, using as diagnostic tools the Baermann method (BM), polymerase chain reaction (PCR) of feces, bronchoalveolar lavage fluid (BALF), and cytology. Forty-three cats that were presented with cough or lung radiographic abnormalities compatible with bronchoalveolar disease were included in the study. After clinical evaluation, feces samples were collected to investigate lungworm parasitism through BM and PCR. BALF was performed to provide samples for cytology, bacteriology, and fungal culture. Stool PCR was considered the gold standard for diagnosis tests, and the other methods were evaluated by their agreement. PCR presented 74% (32/43) of positivity for A. abstrusus, while in the BM, 41% (18/43) were positive. BM showed sensitivity of 56.25% and specificity of 100% when compared with PCR. No larva was found in the cytological evaluation of 21 BALF samples. Lungworm is an important cause of bronchopulmonary disease in domestic cats in Brazil and should be included as a differential diagnosis when a cat is presented with cough or radiographic abnormalities. BM is a sensitive, non-invasive, and cheap technique to diagnose the disease, but it is not as sensitive as PCR.

Для цитирования: Fagundes-Moreira R, Silveira E, Baggio-Souza V, Marques S M T, Vidor S B, de Jezus Castro S M, Spanamberg A, Henker L C, Pavarini S P, Soares J F, da Costa F V A. Comparative analysis of diagnostic methods and risk factors for Aelurostrongylus abstrusus infection in brazilian cats.. Journal of helminthology. 2023. DOI: 10.1017/s0022149x23000755.

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