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Apr 2006, Vol. 7, No. 3, Pages 355-364 , DOI 10.2217/14622416.7.3.355
(doi:10.2217/14622416.7.3.355)

Collaborative Study: chronic fatigue syndrome – Research Report
An empirical delineation of the heterogeneity of chronic unexplained fatigue in women
Uté Vollmer-Conna1, Eric Aslakson2 & Peter D White3
1University of New South Wales, School of Psychiatry, 30 Botany Street, Sydney UNSW 2052, Australia.
2Centers for Disease Control and Prevention, Atlanta, Georgia, USA
3University of London, Department of Psychological Medicine, Barts, London and Queen Mary School Medicine and Dentistry, London, UK
Author for correspondence



Objectives: To test the hypothesis that medically unexplained chronic fatigue and chronic fatigue syndrome (CFS) are heterogeneous conditions, and to define the different conditions using both symptom and laboratory data. Methods: We studied 159 women from KS, USA. A total of 51 of these suffered from fatigue consistent with established criteria for CFS, 55 had chronic fatigue of insufficient symptoms/severity for a CFS diagnosis and 53 were healthy controls matched by age and body mass index (BMI) against those with CFS. We used principal components analyses to define factors that best described the variable space and to reduce the number of variables. The 38 most explanatory variables were then used in latent class analyses to define discrete subject groups. Results: Principal components analyses defined six discrete factors that explained 40% of the variance. Latent class analyses provided several interpretable solutions with four, five and six classes. The four-class solution was statistically most convincing, but the six-class solution was more interpretable. Class 1 defined 41 (26%) subjects with obesity and relative sleep hypnoea. Class 2 were 38 (24%) healthy subjects. Class 3 captured 24 (15%) obese relatively hypnoeic subjects, but with low heart rate variability and cortisol. Class 4 were 23 (14%) sleep-disturbed and myalgic subjects without obesity or significant depression. The two remaining classes with 22 (14%) and 11 (7%) subjects consisted of the most symptomatic and depressed, but without obesity or hypnoea. Class 5 had normal sleep indices. Class 6 was characterized by disturbed sleep, with low sleep heart rate variability, cortisol, and sex hormones. Conclusion: Chronic medically unexplained fatigue is heterogeneous. The putative syndromes were differentiated by obesity, sleep hypnoea, depression, physiological stress response, sleep disturbance, interoception and menopausal status. If these syndromes are externally validated and replicated, they may prove useful in determining the causes, pathophysiology and treatments of CFS.

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Cited by

Ute Vollmer‐Conna, Barbara Cameron, Dusan Hadzi‐Pavlovic, Kristi Singletary, Tracey Davenport, Suzanne Vernon, William C. Reeves, Ian Hickie, Denis Wakefield, Andrew R. Lloyd. (2007) Postinfective Fatigue Syndrome Is Not Associated with Altered Cytokine Production. Clinical Infectious Diseases 45:6, 732
CrossRef
Eric Aslakson, Uté Vollmer-Conna, Peter D White. (2006) The validity of an empirical delineation of heterogeneity in chronic unexplained fatigue. Pharmacogenomics 7:3, 365-373
Online publication date: 1-Apr-2006.
Summary | Full Text | PDF (89 KB) | PDF Plus (137 KB) 
Alicia K Smith, Peter D White, Eric Aslakson, Ute Vollmer-Conna, Mangalathu S Rajeevan. (2006) Polymorphisms in genes regulating the HPA axis associated with empirically delineated classes of unexplained chronic fatigue. Pharmacogenomics 7:3, 387-394
Online publication date: 1-Apr-2006.
Summary | Full Text | PDF (88 KB) | PDF Plus (148 KB) 
Liran Carmel, Sol Efroni, Peter D White, Eric Aslakson, Ute Vollmer-Conna, Mangalathu S Rajeevan. (2006) Gene expression profile of empirically delineated classes of unexplained chronic fatigue . Pharmacogenomics 7:3, 375-386
Online publication date: 1-Apr-2006.
Summary | Full Text | PDF (264 KB) | PDF Plus (296 KB) 
Helen Pearson. (2006) Chronic fatigue has genetic roots. news nature
CrossRef
 

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Authors:
Uté Vollmer-Conna
Eric Aslakson
Peter D White
Keywords:
chronic fatigue syndrome
heterogeneity
latent class analysis
medically unexplained fatigue
nosology
principal component analysis