The British Journal of Psychiatry (2005) 186: 350-351
© 2005 The Royal College of Psychiatrists
Predictors of outcome following treatment for chronic fatigue
LUCY DARBISHIRE, PhD,
PAUL SEED, MSc and
LEONE RIDSDALE, PhD, FRCP
Guys, Kings and St Thomas School of Medicine,
London, UK
Correspondence:
Lucy Darbishire, Department of General Practice and Primary Care, Guys,
Kings and St Thomas School ol of Medicine, 5 Lambeth Walk,
London, SE11 6SP, UK. E-mail: lucy.clark@kcl.ac.uk
Declaration of interest None. Funding detailed in
Acknowledgements.

ABSTRACT
We explored the role of baseline characteristics of 105 patients
who
presented with fatigue in primary care in determining outcome
following either
graded exercise or cognitivebehavioural
therapy. Meeting the criteria
for chronic fatigue syndrome
was the most powerful predictor of poor outcome
and this negative
effect was enhanced by greater functional impairment or
greater
perceived negative consequences, but was not further enhanced
by
both.

INTRODUCTION
We investigated predictors of outcome in a previously reported
(
McCrone et al, 2004;
Ridsdale et al, 2004)
group of patients
who presented to general practitioners (GPs) with fatigue.
We
hypothesised that fatigue score following therapeutic intervention
with
either cognitivebehavioural therapy (CBT) or graded
exercise would be
predicted by baseline fatigue severity (including
chronic fatigue syndrome
status and functional impairment),
psychological morbidity and illness
beliefs.

METHOD
The group was drawn from patients recruited to a multicentre
randomised
trial comparing CBT with graded exercise for patients
with chronic fatigue in
primary care (
Ridsdale et al,
2004).
Inclusion criteria were age 1675 years; fatigue as a
main or important problem lasting for 3 months or more; and
a score of at
least 4 on the fatigue questionnairebimodal
scoring
(
Chalder et al, 1993).
Further inclusion and exclusion
criteria are detailed in
Ridsdale et al, 2004.
Of the 123
patients included, 60 were randomised to graded exercise therapy
and 63 to CBT. This report describes the 105 patients (85%)
who remained in
the study at the 8-month follow-up.
Measures
Fatigue was measured with a Likert-scored scale
(Chalder et al, 1993).
Chronic fatigue syndrome status was determined using criteria defined by
Fukuda et al (1994):
fatigue with a definite onset, of a minimum duration of 6 months, with
substantial functional impairment, and four or more additional symptoms from a
list of eight. Additional measures included scores on the Hospital Anxiety and
Depression scale (Zigmond & Snaith,
1983); degree of functional impairment scored on the Work and
Social Adjustment Scale (WSAS; Marks,
1986); illness beliefs, including perceived negative consequences
(Weinman et al,
1996); and illness attributions (physical/psychological)
(Powell et al, 1990).
For more information on the measures used, see Ridsdale et al
(2004). Patients performed a
step test at baseline assessment (stepping on to a bench for 1 min). Patients
were also asked to report whether they had previously consulted a doctor for
an emotional problem, had been referred to a psychiatrist, or were members of
a myalgic encephalomyelitis (ME) support group. Information on prior
psychological diagnoses and consultation frequency was extracted from general
practice records.
Analysis
Predictors of fatigue outcome were investigated using linear regression
analysis. Univariate regression coefficients were calculated for each of the
15 independent variables (10 continuous, 4 binary and 1 categorical). The
continuous variables are shown in Table
1. The binary variables were meeting criteria for chronic fatigue
syndrome; past history of anxiety or depression; membership of an ME support
group; and type of therapy. The categorical variable was duration of fatigue
(five ordered categories). Independent variables reaching a significance level
of P40.05 were entered into a multiple regression model. The results
of the regression analyses are shown as the mean increase in final fatigue
associated with having v. not having the exposure (binary variables)
or with each additional scale point (continuous variables).

RESULTS
The participants scores are shown in
Table 1. Thirty-one
per cent
(
n=33) met chronic fatigue syndrome criteria, 5% (
n=5)
were
members of an ME support group, and 60% (
n=63) had a history
of
psychological diagnosis. The dependent variable, final fatigue
score, was
normally distributed (mean 15.03, skewness 0.137),
with a significant
improvement following therapy of 10.14 (s.d.=8.69)
points (95% CI
8.4611.82, skewness 0.209).
When entered in separate univariate regression analyses, seven of the
variables were associated with a higher final fatigue score: greater initial
fatigue (b=0.44; 95% CI 0.160.79); meeting chronic fatigue syndrome
criteria (b=7.74; 95% CI 4.4611.01); greater functional impairment
(b=0.40; 95% CI 0.210.59); fewer steps performed (b=-0.25; 95% CI -0.49
to -0.01); higher depression score (b=0.63; 95% CI 0.181.08); greater
perceived negative consequences (b=4.15; 95% CI 1.806.51); and
membership of ME support group (b=8.79; 95% CI 1.1216.46).
In a second model with these seven variables, only chronic fatigue syndrome
status (b=4.50; s.e.=2.02; 95% CI 0.498.51) contributed significantly
(model R2 0.24, adjusted R2=0.19,
F=4.36; P<0.001). Following this, six bivariate analyses
that each included chronic fatigue syndrome status and one of the other six
variables showed that only functional impairment (R2=0.22,
adjusted R2=0.20) and greater perceived negative
consequences (R2=0.21, adjusted
R2=0.19) added significantly to the model when entered
alongside chronic fatigue syndrome status. When all three variables were
entered simultaneously into the model, it was not enhanced by a greater degree
than by adding functional impairment or greater perceived negative
consequences alone (R2=0.22, adjusted
R2=0.20).

DISCUSSION
We expected to find that fatigue severity, illness beliefs,
psychological
state and physical fitness would affect outcome.
In fact, chronic fatigue
syndrome status, a known marker of
fatigue severity, was the most robust
predictor of final fatigue
following therapy. Only three variables explained
more than
10% of the variance in final fatigue when considered alone:
baseline
chronic fatigue syndrome status (18%), functional
impairment (14%) and
perceived negative consequences (11%).
Relationships between recovery and each
of these variables
have been found previously for patients with fatigue in
primary
and secondary care (
Bentall et
al, 2002;
Chalder et
al, 2003).
Membership of an ME support group might also be
important and
has been reported as being so in previous studies
(
Bentall et al, 2002),
but the size of the subgroup in our study provided insufficient
power to
support a relationship.
The results suggest that, individually, functional impairment and greater
perceived negative consequences add to the power of chronic fatigue syndrome
status to predict final fatigue, but add no more power when combined. This is
partly explained by the relatively high correlation observed between them,
which at 0.690 is larger than that between any of the other variables (0.656
between functional impairment and baseline fatigue; 0.419 between chronic
fatigue syndrome status and final fatigue). Chalder et al
(2003) also found the latter
two variables of predictive value, but did not find that chronic fatigue
syndrome status was associated with a poor outcome. The data presented here
are the first to suggest that meeting criteria for this syndrome is likely to
predict a poor outcome following treatment in primary care.
Levels of fatigue can fluctuate considerably between visits; our study
deals with the information that would be available to a GP at a single
consultation. Any of the measures used in predicting fatigue could have been
repeated at subsequent visits, and any predictive power would have been
increased.
Patients with chronic fatigue syndrome are likely to have a poorer
prognosis and may require a greater amount or a different type of therapy. In
view of this, we believe that it will be useful for GPs to know and apply the
criteria for the syndrome when they assess patients with fatigue in primary
care. It should help them advise on prognosis and management.

ACKNOWLEDGMENTS
We thank the patients, GPs and their teams, therapists and many
colleagues
who provided feedback at different stages, including
Professors Peter White
and Roger Jones. The study was supported
by a grant from the Linbury
Trust.

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Received for publication November 11, 2003.
Revision received September 29, 2004.
Accepted for publication October 5, 2004.