A critical analysis of the tender points in fibromyalgia.
OBJECTIVE
To pilot methodologies designed to critically assess the American College of Rheumatology's (ACR) diagnostic criteria for fibromyalgia.


METHODS
Prospective, psychophysical testing.


METHODS
An urban teaching hospital.


METHODS
Twenty-five patients with fibromyalgia and 31 healthy controls (convenience sample).


METHODS
Pressure pain threshold was determined at the 18 ACR tender points and five sham points using an algometer (dolorimeter).


METHODS
The patients "algometric total scores" (sums of the patients' average pain thresholds at the 18 tender points) were derived, as well as pain thresholds across sham points.


RESULTS
The "algometric total score" could differentiate patients with fibromyalgia from normals with an accuracy of 85.7% (P < 0.001). Even a single tender point had a diagnostic accuracy between 75% and 89%. Although fibromyalgics had less pain across sham points than across ACR tender points, sham points also could be used for diagnosis (85.7%; Ps < 0.001). Hierarchical cluster analysis showed that three points could be used for a classification accuracy equivalent to the use of all 18 points.


CONCLUSIONS
There was a significant difference in the "algometric total score" between patients with fibromyalgia and controls, and we suggest this quantified (although subjective) approach may represent a significant improvement over the current diagnostic scheme, but this must be tested vs other painful conditions. The points specified by the ACR were only modestly superior to sham points in making the diagnosis. Most importantly, this pilot suggests single points, smaller groups of points, or sham points may be as effective in diagnosing fibromyalgia as the use of all 18 points, and suggests methodologies to definitively test that hypothesis.
Harden
R Norman
RN
Center for Pain Studies, Rehabilitation Institute of Chicago, Northwestern University Feinberg School of Medicine, Chicago, Illinois 60611, USA. nharden@ric.org
Revivo
Gadi
G
Song
Sharon
S
Nampiaparampil
Devi
D
Golden
Gary
G
Kirincic
Marie
M
Houle
Timothy T
TT
D000328:Adult; D016000:Cluster Analysis; D005260:Female; D005356:Fibromyalgia / Q000175:diagnosis*; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D017288:Pain Threshold / Q000502:physiology; D010865:Pilot Projects; D011312:Pressure; D011446:Prospective Studies; D012727:Sex Characteristics