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      Pan-European Study on the Prevalence of the Feline Leukaemia Virus Infection – Reported by the European Advisory Board on Cat Diseases (ABCD Europe)

      research-article
      1 , 1 , 2 , 1 , 1 , 3 , 4 , 5 , 6 ,   7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 15 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 1 , *
      Viruses
      MDPI
      FeLV, retrovirus, prevalence, risk factors, protective factors, RT-qPCR, virus shedding, vaccination, gross domestic product at purchasing power parity per capita, veterinary sciences

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          Abstract

          Feline leukaemia virus (FeLV) is a retrovirus associated with fatal disease in progressively infected cats. While testing/removal and vaccination led to a decreased prevalence of FeLV, recently, this decrease has reportedly stagnated in some countries. This study aimed to prospectively determine the prevalence of FeLV viraemia in cats taken to veterinary facilities in 32 European countries. FeLV viral RNA was semiquantitatively detected in saliva, using RT-qPCR as a measure of viraemia. Risk and protective factors were assessed using an online questionnaire to report geographic, demographic, husbandry, FeLV vaccination, and clinical data. The overall prevalence of FeLV viraemia in cats visiting a veterinary facility, of which 10.4% were shelter and rescue cats, was 2.3% (141/6005; 95% CI: 2.0%–2.8%) with the highest prevalences in Portugal, Hungary, and Italy/Malta (5.7%–8.8%). Using multivariate analysis, seven risk factors (Southern Europe, male intact, 1–6 years of age, indoor and outdoor or outdoor-only living, living in a group of ≥5 cats, illness), and three protective factors (Northern Europe, Western Europe, pedigree cats) were identified. Using classification and regression tree (CART) analysis, the origin of cats in Europe, pedigree, and access to outdoors were important predictors of FeLV status. FeLV-infected sick cats shed more viral RNA than FeLV-infected healthy cats, and they suffered more frequently from anaemia, anorexia, and gingivitis/stomatitis than uninfected sick cats. Most cats had never been FeLV-vaccinated; vaccination rates were indirectly associated with the gross domestic product (GDP) per capita. In conclusion, we identified countries where FeLV was undetectable, demonstrating that the infection can be eradicated and highlighting those regions where awareness and prevention should be increased.

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          ggmap: Spatial Visualization with ggplot2

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            Clinical Aspects of Feline Retroviruses: A Review

            Feline leukemia virus (FeLV) and feline immunodeficiency virus (FIV) are retroviruses with global impact on the health of domestic cats. The two viruses differ in their potential to cause disease. FeLV is more pathogenic, and was long considered to be responsible for more clinical syndromes than any other agent in cats. FeLV can cause tumors (mainly lymphoma), bone marrow suppression syndromes (mainly anemia), and lead to secondary infectious diseases caused by suppressive effects of the virus on bone marrow and the immune system. Today, FeLV is less commonly diagnosed than in the previous 20 years; prevalence has been decreasing in most countries. However, FeLV importance may be underestimated as it has been shown that regressively infected cats (that are negative in routinely used FeLV tests) also can develop clinical signs. FIV can cause an acquired immunodeficiency syndrome that increases the risk of opportunistic infections, neurological diseases, and tumors. In most naturally infected cats, however, FIV itself does not cause severe clinical signs, and FIV-infected cats may live many years without any health problems. This article provides a review of clinical syndromes in progressively and regressively FeLV-infected cats as well as in FIV-infected cats.
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              Diagnosis of adult tuberculous meningitis by use of clinical and laboratory features.

              The diagnosis of tuberculous meningitis is difficult. Discrimination of cases from those of bacterial meningitis by clinical features alone is often impossible, and current laboratory methods remain inadequate or inaccessible in developing countries. We aimed to create a simple diagnostic aid for tuberculous meningitis in adults on the basis of clinical and basic laboratory features. We compared the clinical and laboratory features on admission of 251 adults at an infectious disease hospital in Vietnam who satisfied diagnostic criteria for tuberculous (n=143) or bacterial (n=108) meningitis. Features independently predictive of tuberculous meningitis were modelled by multivariate logistic regression to create a diagnostic rule, and by a classification-tree method. The performance of both diagnostic aids was assessed by resubstitution and prospective test data methods. Five features were predictive of a diagnosis of tuberculous meningitis: age, length of history, white-blood-cell count, total cerebrospinal fluid white-cell count, and cerebrospinal fluid neutrophil proportion. A diagnostic rule developed from these features was 97% sensitive and 91% specific by resubstitution, and 86% sensitive and 79% specific when applied prospectively to a further 42 adults with tuberculous meningitis, and 33 with bacterial meningitis. The corresponding values for the classification tree were 99% and 93% by resubstitution, and 88% and 70% with prospective test data. This study suggests that simple clinical and laboratory data can help in the diagnosis of adults with tuberculous meningitis. Although the usefulness of the diagnostic rule will vary depending on the prevalence of tuberculosis and HIV-1 infection, we suggest it be applied to adults with meningitis and a low cerebrospinal fluid glucose, particularly in settings with limited microbiological resources.

                Author and article information

                Journal
                Viruses
                Viruses
                viruses
                Viruses
                MDPI
                1999-4915
                29 October 2019
                November 2019
                : 11
                : 11
                : 993
                Affiliations
                [1 ]Clinical Laboratory, Department of Clinical Diagnostics and Services, and Center for Clinical Studies, Vetsuisse Faculty, University of Zurich, 8057 Zurich, Switzerland
                [2 ]Department of Infectious and Parasitic Diseases, Research Unit of Epidemiology and Risk Analysis Applied to Veterinary, Fundamental and Applied Research for Animal and Health (FARAH) Center, Faculty of Veterinary Medicine, University of Liège, B-4000 Liège, Belgium
                [3 ]Department of Geography, University of Zurich, 8057 Zurich, Switzerland
                [4 ]Clinic of Small Animal Medicine, Centre for Clinical Veterinary Medicine, LMU Munich, 80539 Munich, Germany
                [5 ]MRC- University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK
                [6 ]Institute of Virology, Department for Pathobiology, University of Veterinary Medicine, 1210 Vienna, Austria
                [7 ]Bristol Veterinary School, University of Bristol, Bristol BS40 5DU, UK & Chief Medical Officer, Linnaeus Group, Shirley, Solihull B90 4BN, UK
                [8 ]Swedish University of Agricultural Sciences (SLU), Department of Biomedical Sciences and Veterinary Public Health (BVF), 750 07 Uppsala, Sweden
                [9 ]Fundació Hospital Clínic Veterinari, Universitat Autònoma de Barcelona, 08193 Bellaterra, Barcelona, Spain
                [10 ]Scanelis laboratory, 31770 Colomiers, France
                [11 ]University of Utrecht, Faculty of Veterinary Medicine, Department of Infectious Diseases and Immunology, 3584 CL Utrecht, Netherlands
                [12 ]Dipartimento di Scienze Veterinarie, Università di Messina, 98168 Messina, Italy
                [13 ]Institute of Animal Hygiene and Veterinary Public Health, University of Leipzig, 04103 Leipzig, Germany
                [14 ]Department of Small Animal Diseases with Clinic, Faculty of Veterinary Medicine, Warsaw University of Life Sciences-SGGW, 02-787 Warsaw, Poland
                [15 ]Veterinary Virology and Animal Viral Diseases, Department of Infectious and Parasitic Diseases, FARAH Research Centre, Faculty of Veterinary Medicine, Liège University, B-4000 Liège, Belgium
                [16 ]Faculty of Veterinary Medicine, Università degli Studi di Teramo, 64100 Teramo, Italy
                [17 ]Veterinary Diagnostic Services, School of Veterinary Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G61 1QH, UK
                [18 ]Tierklinik Strebersdorf, 1210 Vienna, Austria
                [19 ]Veterinarska klinika Kreszinger, 10360 Sesvete, Zagreb, Croatia
                [20 ]University of Veterinary Medicine, 1078 Budapest, Hungary
                [21 ]School of Veterinary Medicine, University of Glasgow, Glasgow G61 1QH, UK
                [22 ]Institute of Biology and Immunology of Reproduction, 1113 Sofia, Bulgaria
                [23 ]Kleintierklinik BolligerTschuor AG, Fachtierärzte für Kleintiere, 4665 Oftringen – Zofingen, Switzerland
                [24 ]School of Veterinary Medicine, University College Dublin, Belfield, Dublin 4, Ireland
                [25 ]Jamaren - Swedish Veterinary Feline Study Group, 275 71 Lövestad, Sweden
                [26 ]Loomakliinik, 51014 Tartu, Estonia
                [27 ]Bygholm Dyrehospital, 8700 Horsens, Denmark
                [28 ]CatVet Kissaklinikka, 00400 Helsinki, Finland
                [29 ]Slovak Small Animal Veterinary Association, 821 02 Bratislava, Slovakia
                [30 ]Faculty of Veterinary Medicine, Latvia University of Lifesciences and Technologies, LV-3004 Jelgava, Latvia
                [31 ]Jakov Veterinary Centre, Gerosios Vilties g. 1, LT-03147 Vilnius, Lithuania
                [32 ]Vetalmada, small animal clinic, 2800-052 Almada, Portugal
                [33 ]Small Animal Emergency Clinic, 637 00 Brno-Jundrov, Czech Republic
                [34 ]Department of Animal Protection, Welfare and Behavior, Faculty of Veterinary Hygiene and Ecology, University of Veterinary and Pharmaceutical Sciences Brno, 612 42 Brno, Czech Republic
                Author notes
                [* ]Correspondence: rhofmann@ 123456vetclinics.uzh.ch ; Tel.: +41-44-635-83-11
                Author information
                https://orcid.org/0000-0001-9087-7436
                https://orcid.org/0000-0002-3609-2416
                https://orcid.org/0000-0002-4313-5023
                https://orcid.org/0000-0002-9160-1455
                https://orcid.org/0000-0001-9750-4296
                Article
                viruses-11-00993
                10.3390/v11110993
                6893802
                31671816
                2a637a73-f78f-4821-b0d4-da858e37b40e
                © 2019 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 26 September 2019
                : 27 October 2019
                Categories
                Article

                Microbiology & Virology
                felv,retrovirus,prevalence,risk factors,protective factors,rt-qpcr,virus shedding,vaccination,gross domestic product at purchasing power parity per capita,veterinary sciences

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