Evaluation of pleural fluid parameters related to cardiac diseases in cats

Author:

Chobsuk Nutcha1,Pongprasit Panita1,Puangploy Pralphun1,Bunnag Monnakarn1,Keerativitayanant Luksika1,Surachetpong Sirilak Disatian1ORCID

Affiliation:

1. Department of Veterinary Medicine, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand.

Abstract

Background and Aim: Cardiac disease is common in cats, and concurrent pleural effusion can worsen the prognosis. However, the definitive diagnosis of feline cardiac disease by echocardiography is limited in some areas. This study was designed to determine the indicators from fluid analysis obtained from pleural effusion to help diagnose cardiac disease in cats. Materials and Methods: A retrospective study was conducted. Data of 61 cats with pleural effusion were retrieved. The cats were divided into two groups: Cardiac disease (n=34) and non-cardiac disease (n=27) groups. Sex, neuter status, breed, age, weight, physical findings, fluid analysis results, radiographic findings, echocardiographic findings, and the presence of other diseases or conditions were recorded. Results: The Chi-square test showed the relationship between cardiac disease and the presence of abnormal heart sounds (p=0.0003), the N-terminal pro-B-type natriuretic peptide-positive result from serum samples (p=0.046), the presence of arterial thromboembolism (p<0.00001), and the presence of radiographic evidence of cardiomegaly and pulmonary edema (p=0.0002 and 0.001, respectively). The Mann–Whitney U-test showed a significant difference in protein concentration and specific gravity between the cardiac and non-cardiac disease groups (p=0.012 and 0.009, respectively). The decision tree classification method showed that protein concentrations of ≤3 g/dL were related to cardiac disease (sensitivity, 41.2% and specificity, 92.6%). Conclusion: The protein concentration in the pleural fluid may be used to distinguish cardiac and non-cardiac diseases in cats.

Funder

Faculty of Veterinary Science, Chulalongkorn University

Publisher

Veterinary World

Subject

General Veterinary

Reference23 articles.

1. Fox, P.R., Keene, B.W., Lamb, K., Schober, K.E., Chetboul, V., Luis Fuentes, V., Payne, J.R., Wess, G., Hogan, D.F., Abbott, J.A., Häggström, J., Culshaw, G., Fine-Ferreira, D., Cote, E., Trehiou-Sechi, E., Motsinger-Reif, A.A., Nakamura, R.K., Singh, M., Ware, W.A., Riesen, S.C., Borgarelli, M., Rush, J.E., Vollmar, A., Lesser, M.B., van Israel, N., Lee, P.M., Bulmer, B., Santilli, R., Bossbaly, M.J., Quick, N., Bussadori, C., Bright, J., Estrada, A.H., Ohad, D.G., Del Palacio, M.J.F., Brayley, J.L., Schwartz, D.S., Gordon, S.G., Jung, S., Bove, C.M., Brambilla, P.G., Moïse, N.S., Stauthammer, C., Quintavalla, C., Manczur, F., Stepien, R.L., Mooney, C., Hung, Y.W., Lobetti, R., Tamborini, A., Oyama, M.A., Komolov, A., Fujii, Y., Pariaut, R., Uechi, M. and Yukie Tachika Ohara, V. (2019) Long-term incidence and risk of noncardiovascular and all-cause mortality in apparently healthy cats and cats with preclinical hypertrophic cardiomyopathy. J. Vet. Intern. Med., 33(6): 2572-2586.

2. Fuentes, V.L., Abbott, J., Chetboul, V., Côté, E., Fox, P.R., Häggström, J., Kittleson, M.D., Schober, K. and Stern, J.A. (2020) ACVIM consensus statement guidelines for classification, diagnosis, and management of cardiomyopathies cats. J. Vet. Intern. Med., 34(3): 1062-1077.

3. Hernandez, J.L. (2018) Characterization of and factors associated with causes of pleural effusion in cats. J. Am. Vet. Med. Assoc., 253(2): 181-187.

4. Beatty, J. and Barrs, V. (2010) Pleural Effusion in the cat: A practical approach to determining aetiology. J. Feline Med. Surg., 12(9): 693-707.

5. Dempsey, S.M. and Ewing, P.J. (2011) A review of the pathophysiology, classification, and analysis of canine and feline cavitary effusions. J. Am. Anim. Hosp. Assoc., 47(1): 1-11.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3