Machado Inês Cunha, Nunes Telmo, Maximino Miguel, Malato João, Tavares Luís, Almeida Virgilio, Sepúlveda Nuno, Gil Solange
Teaching Hospital, Faculty of Veterinary Medicine, University of Lisbon, Av. Universidade Técnica, 1300-477 Lisboa, Portugal.
CIISA-Centre for Interdisciplinary Research in Animal Health, Faculty of Veterinary Medicine, University of Lisbon, Av. Universidade Técnica, 1300-477 Lisboa, Portugal.
Vet Sci. 2023 Mar 1;10(3):186. doi: 10.3390/vetsci10030186.
The teaching hospital of the Faculty of Veterinary Medicine at the University of Lisbon hosts a Biological Isolation and Containment Unit (BICU) for the hospitalization of both confirmed and suspected animals of an infectious disease. This study targets the BICU dog population to identify and characterize the most frequent infectious diseases recorded in a 7-year period. Several epidemiologic factors were analyzed for their significance to triage infected cases. During the study period, 534 dogs were admitted, of which 263 (49.3%) had a confirmed infectious disease diagnosis: parvovirosis (49.4%; = 130); leptospirosis (21.7%; = 57); multidrug-resistant (MDR) bacterial infection; (10.6%; = 28), and canine distemper (9.9%; = 26). Several potential risk factors for these diseases were identified: age under 2 years old ( < 0.001), incomplete vaccination for parvovirosis ( < 0.001), age ≥ 10 years old ( < 0.001), and the presence of concomitant disorders for MDR-infected cases ( = 0.03). Logistic regression models were constructed to classify cases and controls. The sensitivity and specificity estimates were very high (>0.83) for parvovirosis, MDR, and distemper infections. A lower sensitivity (0.77) was obtained for identifying cases with leptospirosis. In conclusion, infectious diseases are frequent, hence, it is essential to decrease their occurrence through effective preventive measures such as vaccination. The constructed logistic models can also help in triaging admitted dogs with a potential infectious disease.
里斯本大学兽医学院的教学医院设有一个生物隔离与收容单元(BICU),用于收治确诊和疑似患有传染病的动物。本研究以BICU中的犬类群体为对象,旨在识别和描述7年期间记录的最常见传染病。分析了几个流行病学因素对感染病例分诊的意义。在研究期间,共收治了534只犬,其中263只(49.3%)被确诊患有传染病:细小病毒病(49.4%;n = 130);钩端螺旋体病(21.7%;n = 57);多重耐药(MDR)细菌感染(10.6%;n = 28),以及犬瘟热(9.9%;n = 26)。确定了这些疾病的几个潜在风险因素:2岁以下(p < 0.001)、细小病毒病疫苗接种不完全(p < 0.001)、10岁及以上(p < 0.001),以及MDR感染病例存在并发疾病(p = 0.03)。构建了逻辑回归模型对病例和对照进行分类。细小病毒病、MDR和犬瘟热感染的敏感性和特异性估计值非常高(>0.83)。钩端螺旋体病病例识别的敏感性较低(0.77)。总之,传染病很常见,因此,通过疫苗接种等有效预防措施减少其发生至关重要。构建的逻辑模型也有助于对疑似患有传染病的入院犬进行分诊。