Abstract

The associations between three major categories of the neurohistological diagnoses and the epidemiological data were examined in unconfirmed cases of clinically suspect bovine spongiform encephalopathy (BSE). The diagnostic categories were focal spongiosis of white matter (37 cases), encephalic listeriosis (13 cases) and no significant lesions (78 cases). An additional control category of 200 confirmed cases of BSE were included for comparison. Epidemiological variables were the frequencies of specific clinical signs, the season of clinical onset, the age, the duration of the clinical signs and the geographical origin of the cases. Discriminant analysis was used to assess the contribution of these variables to the distinction between the diagnostic categories. The analyses characterised the cases of listeriosis by their shortest clinical duration, the greater prevalences of certain clinical signs and their occurrence mainly in winter and spring, consistent with current understanding of the disease. Cases of focal spongiosis, a lesion of unknown significance, but potentially with a metabolic causation, were tentatively separable from cases with no significant lesions by their winter onset. The results also confirmed that among the categories, the cases of BSE had the longest clinical duration. Despite their statistical significance, the findings do not have sufficient predictive power to be of value in making clinical decisions.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.