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[Diagnostic aspects of Borrelia-infections in dogs].

Abstract
This paper discusses the problem of diagnosing borreliosis (Lyme disease) in dogs. A prospective cohort study in the Kempen district, a known Borrelia focus in The Netherlands, showed that dogs with the presumptive symptoms of borreliosis, episodic malaise and lameness, had significantly higher and longer lasting anti-Borrelia IgG titers than asymptomatic dogs. A small part of these dogs also had antibodies directed against the IR6 (C6) antigen which indicates persistent active Borrelia infection. A few typical case histories are presented. Dogs with episodic malaise and lameness with persistent high IgG titers are suspect of suffering from borreliosis. IR6 antibodies make this diagnosis likely. Initially, such patients should be treated with doxycyclin (10 mg/kg 1dd) for 10 days. If the symptoms recurr within a few months, a longer treatment (eg 6 weeks) should be considered. Bernese mountain dogs were strongly over-represented among the borreliosis patients in the cohort study and most high titered samples among those submitted for--diagnostic--serology appear to come from this breed, which suggests that these dogs have difficulties with clearing this tick-borne infection.
AuthorsK E Hovius, D J Houwers
JournalTijdschrift voor diergeneeskunde (Tijdschr Diergeneeskd) Vol. 132 Issue 16 Pg. 612-6 (Aug 15 2007) ISSN: 0040-7453 [Print] Netherlands
Vernacular TitleDiagnostische aspecten van Borrelia-infecties bij de hond.
PMID17849909 (Publication Type: English Abstract, Journal Article, Review)
Chemical References
  • Anti-Bacterial Agents
  • Antibodies, Bacterial
  • Doxycycline
Topics
  • Animals
  • Anti-Bacterial Agents (therapeutic use)
  • Antibodies, Bacterial (blood)
  • Borrelia (immunology)
  • Dog Diseases (diagnosis, drug therapy, genetics)
  • Dogs
  • Doxycycline (therapeutic use)
  • Genetic Predisposition to Disease
  • Lyme Disease (diagnosis, drug therapy, genetics, veterinary)
  • Netherlands (epidemiology)
  • Prevalence
  • Prognosis
  • Time Factors

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