Society Logo
ME/CFS Australia Ltd
Please click here to donate ME/CFS Australia (SA) Inc
 
 
Facebook
 
ME/CFS AUSTRALIA (SA) INC

Registered Charity 3104

Email:
sacfs@sacfs.asn.au

Mailing address:
PO Box 322,
Modbury North,
South Australia 5092

Office:
Suite 506,
North Terrace House,
19 North Terrace,
Hackney, SA, 5069


Phone:
1300 128 339

Office Hours:
Wednesdays, 11am-3pm

ME/CFS Australia (SA) Inc supports the needs of sufferers of Myalgic Encephalomyelitis, Chronic Fatigue Syndrome and related illnesses. We do this by providing services and information to members.

Disclaimer

ME/CFS Australia (SA) Inc aims to keep members informed of various research projects, diets, medications, therapies, news items, etc. All communication, both verbal and written, is merely to disseminate information and not to make recommendations or directives.

Unless otherwise stated, the views expressed on this Web site are not necessarily the official views of the Society or its Committee and are not simply an endorsement of products or services.

Become a Member
PDF Application Form (PDF, 242KB)
Why become a member?
 

Diagnostic accuracy of symptoms characterising CFS

Monday 10 January 2011

PubMedFrom PubMed:

 

Disabil Rehabil. 2011 Jan 6. [Epub ahead of print]

Diagnostic accuracy of symptoms characterising chronic fatigue syndrome.

Davenport TEStevens SRBaroni KVan Ness MSnell CR.

Department of Physical Therapy, Thomas J. Long School of Pharmacy and Health Sciences, University of the Pacific, Stockton, CA, USA.

Abstract

Purpose. To determine the diagnostic accuracy for single symptoms and clusters of symptoms to distinguish between individuals with and without chronic fatigue syndrome (CFS).

Methods. A cohort study was conducted in an exercise physiology laboratory in an academic setting. Thirty subjects participated in this study (n=16 individuals with CFS; n=14 non-disabled sedentary matched control subjects). An open-ended symptom questionnaire was administered 1 week following the second of two maximal cardiopulmonary exercise tests administered 24h apart.

Results. Receiver operating characteristics (ROC) curve analysis was significant for failure to recover within 1 day (area under the curve=0.864, 95% confidence interval [CI]: 0.706-1.00, p=0.001) but not within 7 days. Clinimetric properties of failure to recover within 1 day to predict membership in the CFS cohort were sensitivity 0.80, specificity 0.93, positive predictive value 0.92, negative predictive value 0.81, positive likelihood ratio 11.4, and negative likelihood ratio 0.22. Fatigue demonstrated high sensitivity and modest specificity to distinguish between cohorts, while neuroendocrine dysfunction, immune dysfunction, pain, and sleep disturbance demonstrated high specificity and modest sensitivity. ROC analysis suggested cut-point of two associated symptoms (0.871, 95% CI: 0.717-1.00, p<0.001). A significant binary logistic regression model (p<0.001) revealed immune abnormalities, sleep disturbance and pain accurately classified 92% of individuals with CFS and 88% of control subjects.

Conclusions. A cluster of associated symptoms distinguishes between individuals with and without CFS. Fewer associated symptoms may be necessary to establish a diagnosis of CFS than currently described.

PMID: 21208154 [PubMed - as supplied by publisher]

 

The above originally appeared here.

 


 

blog comments powered by Disqus
Previous Previous Page