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. 2016 May 17:8:97-107.
doi: 10.2147/CLEP.S96797. eCollection 2016.

Epidemiological characteristics of chronic fatigue syndrome/myalgic encephalomyelitis in Australian patients

Samantha C Johnston  1 , Donald R Staines  2 , Sonya M Marshall-Gradisnik  1
Affiliations

Epidemiological characteristics of chronic fatigue syndrome/myalgic encephalomyelitis in Australian patients

Samantha C Johnston et al. Clin Epidemiol. .

Abstract

Background: No epidemiological investigations have previously been conducted in Australia according to the current clinical definitions of chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME). The aim of this study was to describe sociodemographic and illness characteristics of Australian patients with CFS/ME.

Methods: A cross-sectional survey on the medical history of patients enrolled in an Australian CFS/ME research database between April 2013 and April 2015. Participants were classified according to Fukuda criteria and International Consensus Criteria.

Results: A total of 535 patients diagnosed with CFS/ME by a primary care physician were identified. The mean age of all patients was 46.4 years (standard deviation 12.0); the majority were female (78.61%), Caucasian, and highly educated. Of these, 30.28% met Fukuda criteria. A further 31.96% met both Fukuda criteria and International Consensus Criteria. There were 14.58% reporting chronic fatigue but did not meet criteria for CFS/ME and 23.18% were considered noncases due to exclusionary conditions. Within those meeting CFS/ME criteria, the most common events prior to illness included cold or flu, gastrointestinal illness, and periods of undue stress. Of the 60 symptoms surveyed, fatigue, cognitive, and short-term memory symptoms, headaches, muscle and joint pain, unrefreshed sleep, sensory disturbances, muscle weakness, and intolerance to extremes of temperature were the most commonly occurring symptoms (reported by more than two-thirds of patients). Significant differences in symptom occurrence between Fukuda- and International Consensus Criteria-defined cases were also identified.

Conclusion: This is the first study to summarize sociodemographic and illness characteristics of a cohort of Australian CFS/ME patients. This is vital for identifying potential risk factors and predictors associated with CFS/ME and for guiding decisions regarding health care provision, diagnosis, and management.

Keywords: chronic fatigue; chronic fatigue syndrome; diagnosis; epidemiology; myalgic encephalomyelitis.

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Figures

Figure 1
Figure 1
Flowchart for case ascertainment.
Figure 2
Figure 2
Frequency of participants in the CFS/ME registry by state. Note: Figures correspond to the distribution of participants per state (distribution of the Australian population per state). Abbreviations: ACT, Australian Capital Territory; CFS/ME, chronic fatigue syndrome/myalgic encephalomyelitis; NT, Northern Territory; NSW, New South Wales; QLD, Queensland; TAS, Tasmania; VIC, Victoria; SA, South Australia; WA, Western Australia.
See this image and copyright information in PMC

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