Characterising DSCATT: A case series of Australian patients with debilitating symptom complexes attributed to ticks

J Schnall; G Oliver; S Braat; R Macdonell; KB Gibney; RA Kanaan

Journal article

Characterising DSCATT: A case series of Australian patients with debilitating symptom complexes attributed to ticks

J Schnall, G Oliver, S Braat, R Macdonell, KB Gibney, RA Kanaan

Australian and New Zealand Journal of Psychiatry | SAGE PUBLICATIONS LTD | Published : 2022

DOI: 10.1177/00048674211043788

Abstract

Objectives(s): To characterise the clinical profile, aetiology and treatment responsiveness of ‘Australian Lyme’, or Debilitating Symptom Complexes Attributed to Ticks. Methods: Single-centre retrospective case analysis of patients referred to the Infectious Diseases Unit at Austin Health – a tertiary health service in Heidelberg, Australia – between 2014 and 2020 for investigation and treatment of suspected Debilitating Symptom Complexes Attributed to Ticks. Patients were included if they had debilitating symptoms suggested by either themselves or the referring clinician as being attributed to ticks. Results: Twenty-nine Debilitating Symptom Complexes Attributed to Ticks cases were included..

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University of Melbourne Researchers

Gina Oliver Author

Sabine Braat Author

Richard MacDonell Author

Katherine Gibney Author

Related Projects (1)

MOBILITY, MIXING AND INFECTIOUS DISEASE TRANSMISSION AMONG REMOTE-LIVING INDIGENOUS AUSTRALIANS: ADDRESSING A KNOWLEDGE GAP TO IDENTIFY EFFECTIVE STRATEGIES FOR SUSTAINED DISEASE CONTROL

Indigenous Australians in remote communities experience extremely high rates of infections such as skin sores. I will study the mobility and..

Grants

Awarded by National Health and Medical Research Council

Funding Acknowledgements

The author(s) disclosed receipt of the following financial support for the research, authorship and/or publication of this article: This project was funded by an NHMRC targeted research call (TRC) grant (APP1169827). K.B.G. received salary support from NHMRC (APP1120816) and MRFF (MRF1193727).