The clouded leopard () is classified as vulnerable on the International Union for the Conservation of Nature Red List of Threatened Species. However, diseases affecting this species across zoo populations are not well documented. The primary objective of this retrospective study was to identify common and significant causes of morbidity and mortality in captive-bred clouded leopards from European, Asian, and Australian institutions. Medical records from 44 zoological parks that held 271 clouded leopards from 1934 to 2017 were reviewed. Major causes of mortality in the dead leopards ( = 141) were respiratory disease (17%), maternal neglect and starvation (12%), generalized infectious disease (10%), digestive disease (10%), and trauma (10%). Six animals lived more than 20 yr and two were older than 22 yr. Diseases were recorded 344 times (average of two per leopard) in 166 living leopards. The body systems most frequently affected by disease in these 166 individuals were, in order of frequency, integumentary (prevalence = 21%), digestive (21%), respiratory (16%), musculoskeletal (12%), and urinary (10%) systems. Neoplasia (7%) was less frequent, followed by cardiovascular (5%), genital (3%), and viral (3%) disorders. Extensive, self-induced alopecia on the tail and dorsum was the most frequently reported dermatological disease, which is proposed to be called the "clouded leopard alopecia syndrome." The most common neoplasm was pheochromocytoma (1%), followed by squamous cell carcinoma of the paw pads, pleural mesothelioma and multicentric lymphomas (<1% each). Dilated cardiomyopathy (2%) was the most common cardiovascular disease. Bronchopneumonia (7%), enteritis (4%), and nephritis (4%) were the most frequently reported respiratory, digestive, and renal diseases, respectively. Diagnosed disease incidence was significantly higher in Europe. This paper reports the results of a comprehensive study of the causes of morbidity and mortality in European, Asian, and Australian clouded leopard zoo populations.
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http://dx.doi.org/10.1638/2019-0048 | DOI Listing |
Vet Med Sci
January 2025
Faculty of Veterinary Medicine, Department of Obstetrics and Gynecology, Firat University, Elazig, Turkey.
Objectives: To determine T helper (Th)1 and Th2 cytokine polarization, as well as high-sensitive cardiac troponin I (hs-cTnI) levels, in cats with pyometra.
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Vet Med Sci
January 2025
Department of Surgery, Faculty of Veterinary Medicine, Atatürk University, Erzurum, Turkey.
Objectives: Vomiting is frequently observed in cats after dexmedetomidine administration. This study aimed to compare the efficacy of different antiemetics in preventing vomiting in cats after dexmedetomidine administration.
Methods: Sixty-four cats were randomly allocated to receive saline solution (0.
Vet Med Sci
January 2025
Department of Surgery, Faculty of Veterinary Medicine, Burdur Mehmet Akif Ersoy University, Burdur, Turkey.
Objective: To compare the impacts of Elizabethan collar (EC) and wound protection corset (WPC) on pain and discomfort levels in cats following ovariohysterectomy.
Study Design: Prospective, randomized controlled clinical trial.
Animals: Twenty-six healthy female cats.
Hawaii J Health Soc Welf
January 2025
Retired, Research Statistician Hawai'i Department of Health, Adjunct Assistant Professor, University of Hawai'i, Office of Public Health Studies, Honolulu, HI.
Information on companion animals in Hawai'i is lacking. The Hawai'i Department of Health's Hawai'i Health Survey, collected data on adults and households by telephone interview. National estimates of companion animals range from 50-67%.
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January 2025
Wildlife Institute of India, Dehradun, 248001, Uttarakhand, India.
Intra-specific interactions among top carnivores are among the most intriguing behavioural aspects and essential components of population dynamics. Static interactions pertain to space use, while dynamic interactions involve spatio-temporal patterns influenced by social structure, distribution, mate selection, and density. Previous studies have focused on static interactions, successfully estimating spatial overlap but leading to a knowledge gap of dynamic interaction to be able to compute attraction and avoidance on similar spatio-temporal scales.
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