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THU0357 Predictive value of exercise stress test (24h test&re-test) and coghealth© in differential diagnosis of chronic fatigue syndrome vs. fibromyalgia
  1. S. Garcia-Blanco1,
  2. V. Poca-Dias1,
  3. C. Santos2,
  4. A. Cuscό-Segarra1,
  5. V. Torrente-Segarra3,
  6. F.J. Garcia-Fructuoso1
  1. 1Institut Ferran de Reumatologia. Centro Specialist, Barcelona
  2. 2Departamento BABVE. Autonoma Barcelona University, Bellaterra
  3. 3Hospital Cruz Roja Hospitalet, Hospitalet, Spain


Objectives Determining the discriminating value of the test CogHealth© and its relation with the dual exercise stress test (test re-test 24 hours) in the differential diagnosis between the chronic fatigue syndrome (CFS/ME) and fibromyalgia (FM)

Methods 57 patients were included, 42 diagnosed of FM (32 women, 10 men) and 15 of CFS/ME (women). Were applied the neurocognitive CogHealth© test and a double stress test (ST) in treadmill (Bruce protocol) with 24 hours of difference, measuring the METS value (metabolic equivalents) through the formula MET VO2/3.5 and the percentage of maximum theoretician heart rate (MTHR), had to be greather 70% in both proofs to be considerate valid.

The data were analysed according to the SPSS program: comparison between groups of patients in ST and CogHealth© test was performed using T-Student and General Linear Model for repeated measures, and principal component factor analysis and discriminant analysis for relationship between both diseases

Results The results of ST show significative differences between CFS/ME and FM patients. We observe an increment in the HTHR values and a sensible decrease of the METS in the patients with CFS/ME in the second ST, being higher and keeping constant the values of the group FM (table 1).

We observe significative differences between CFS/ME and FM patients in the CogHealth© results. The results of the CogHealth© test in the total scale and in the sub-scales, are outside of normal in all the cases with CFS/ME and normal in all the patients with FM (table 1).

There are a significative relation between second ST and the CogHealth© test results.

Two components can explain more of 50% of the variation found in the patients.

First is defined by the variables of the CogHealth© and it would explain the 36,55% of the total variation. The variables of the CogHealth that allow to classify 100% of patients correctly would be: CogHealth detection2, CogHealth Associated Learning, CogHealth Monitoring, CogHealth One Back, CogHealth One Card Learning.

The predictive value does not increase if we add variables of the ST although there are significative (p=0,000).

Table 1. ST and CogHealth© test: Median comparison between CSF/ME and FM

Conclusions The CogHealth© test and a double ST are a valid tool to discriminate between CFS/ME and the FM.

Disclosure of Interest None Declared

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