Understanding
Fatigue in Lupus:
Data from the LUMINA Study
Graciela S. Alarcón, M.D.,
M.P.H.
From Lupus News
Introduction
The LUMINA Study
Measuring fatigue
Analyses of data
Factors relating to fatigue
About the author
References
Introduction
Fatigue is a poorly understood symptom that lacks
an objective correlate. The most extreme situation
is that of persistent and unexplained fatigue, the
so-called "chronic fatigue syndrome" (CFS),
which is only diagnosed after all other possible causes
of fatigue have been ruled out.
Fatigue is present in a variety of disorders.
It is commonly reported by lupus patients, and may
occur even in the absence of other clinical manifestations
indicative of active disease. This suggests that factors
other than disease activity may be involved.
Physicians often become frustrated when
confronting such patients-the assumption is that the
complaint of fatigue lacks a relationship with lupus
per se and thus may be due to a concomitant but unrelated
problem, specifically secondary fibromyalgia.
Their frustration is compounded by the
fact that there are no known interventions that have
been clearly shown to modify this manifestation, which
is the case in lupus as well as in fibromyalgia and
CFS.
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The LUMINA Study
We are currently following a cohort of patients with
lupus (as per the American College of Rheumatology
criteria). This group is made up of individuals from
three well-defined ethnic groups-Hispanic, African
American and Caucasian-who have disease of relatively
recent onset (5 years or less).
This study group has been named The
LUMINA Cohort (for Lupus in Minority populations:
Nature Vs Nurture). Study visits have been conducted
yearly to determine socioeconomic-demographic, clinical,
immunologic, immunogenetic, behavioral and cultural
variables.
We felt that we could use this rich
database to explore the factors predisposing to fatigue
in lupus, and subsequently, to explain how and why
fatigue occurs in certain individuals. Only by understanding
these factors can we hope to design interventions
aimed at modifying this pervasive and oftentimes incapacitating
clinical manifestation.
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Measuring
fatigue
Fatigue was measured using the original instrument
developed by Krupp et al, the Fatigue Severity Scale
(FSS), that had previously been used in patients with
lupus. According with this 9-item questionnaire, fatigue
is considered present if the score is 3 or more. We
were first struck by how common fatigue was, regardless
of the patients' gender or ethnic group (86 percent,
overall). However, the scores were numerically higher
in the Caucasian patients than in the non-Caucasians.
The distribution of the fatigue scores in the three
ethnic groups is shown in Figure 1.
Table 1A
Variables From Different Domains and Their Relationship
With Fatigue in LUMINA Patients (n=223)
| Variable |
Correlation*
|
| Physical functioning |
0.59
|
| Mental functioning |
0.40
|
| Maladaptive behaviors |
0.37
|
| Helplessness |
0.35
|
| Pain (from lupus) |
0.35
|
| Disease activity+ |
0.27
|
| Age |
0.11
|
| Poor social support |
0.27
|
*The higher the value, the stronger
the relationship (0=no relationship; 1=perfect relationship).
Only those variables that were significantly associated
with fatigue are shown.
Measure with the Systemic Lupus Activity Measure
or SLAM (excluding fatigue).
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Table 1B
Fatigue Severity Scores as a Function
of Selected Features in LUMINA Patients (n=223)
| Variable* |
Yes
|
No
|
| |
(n)
|
Median Score
|
(n)
|
Median Score
|
| Neurological manifestations |
(148)
|
|
(81)
|
4.8
|
| Exercise |
(81)
|
|
(142)
|
5.6
|
| Smoking |
(37)
|
|
(186)
|
5.8
|
| Difficulties
in accessing care |
(101)
|
|
(122)
|
5.0
|
| Health insurance |
(157)
|
|
65)
|
5.6
|
| Full-time employment |
(79)
|
|
(142)
|
5.6
|
*Only those variables in which the
fatigue scores were significantly different in those
with and without the feature are shown.
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Analyses of
data
Next, we examined the relationship between the fatigue
scores, as per the FSS, and specific socioeconomic-demographic,
clinical, laboratory, therapeutic, behavioral, and
psychological features (these data are summarized
in Table 1). These exploratory analyses allowed us
to build a model that sorted out which independent
contribution of variables appeared to be related to
fatigue in the first set of analyses. (Certain variables
were purposely left out of the model because they
were thought to be the result, rather than the cause,
of fatigue, including exercise, physical and mental
functioning, and employment.) The results of these
analyses are shown in Table 2.
Table 2
Multivariable Analysis of Fatigue
in LUMINA Patients
| Feature* |
Association
|
| Maladaptive health-related behaviors |
Positive
|
| Age |
Positive
|
| Pain |
Positive
|
| Helplessness |
Positive
|
| Neurological manifestations |
Presence
|
| Ethnicity |
Caucasian
|
| Health Insurance |
Absence
|
*Only features retained in the model
are shown
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Factors relating
to fatigue
The magnitude of the fatigue experienced by our LUMINA
patients relates to a variety of factors, which contribute
independently to the degree of fatigue observed:
- older age
- non-Caucasian ethnicity
- lack of health insurance
- maladaptive health-related behaviors
- degree of disease activity
- helplessness
- pain (attributable to lupus) and
- neurological manifestations.
Based on the analyses described, and
our understanding of lupus in general, we went on
to graph the relationship between fatigue and these
different variables (Figure 2).
It should be noted that in some cases,
the relationship between variables is clearly bi-directional.
Fatigue may occur as a result of seemingly unrelated
events-for example, worsening disease activity may
lead to fatigue, but so may the lack of exercise,
or the use of destructive health-related behaviors.
We should add that at the time these
analyses were performed, we had not yet started to
systematically assess the presence of fibromyalgia
(generalized pain and tender points in at least 11
of 18 defined anatomical sites). Subsequent analyses
performed in our cohort have revealed that fibromyalgia
and fatigue are related, but by no means is fibromyalgia
as frequently seen as fatigue.
The relative paucity of fibromyalgia
in our patients suggest that fibromyalgia cannot be
the main explanatory factor for the occurrence of
fatigue or for the severity of the fatigue our patients
experience. That has also been the experience of other
investigators. We suspect, however, that in the presence
of other features (such as disease activity, maladaptive
health-related behaviors, lack of exercise), fibromyalgia
contributes to this symptom.
What can be done to help lupus patients
with this symptom? First, of course, is to determine
the obvious, that is whether patients have any lupus
or non-lupus related cause for their fatigue (e.g.
anemia, renal insufficiency, hypothyroidism, ongoing
disease activity, depression, deconditioning, poor
sleeping habits) and intervene accordingly. A negative
work up may suggest that other factors are more important
and the physician may at least attempt to address
them (behavioral interventions). We have however,
to admit that there are no systematically gathered
data (being that randomized clinical trials or longitudinal
observational studies) that can support such interventions.
We hope to be able to produce such data in due time.
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About the Author
Graciela S. Alarcón, MD, M.P.H. has
the Jane Knight Lowe Chair of Medicine in Rheumatology
at the University of Alabama at Birmingham in Alabama.
She filed this report on behalf of the LUMINA group.
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References
1. Zonana-Nacach A, Roseman JM, McGwin G, Jr., Friedman
AW, Baethge BA, Reveille JD et al:Systemic lupus
erythematosus in three ethnic groups, VI: Factors
associated with fatigue within 5 years of criteria
diagnosis. Lupus. 2000;9:101-9.
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AA, Friedman AW, Moulds JM, Goel N et al:Systemic
lupus erythematosus in three ethnic groups: II. Features
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KV, Moulds JM, Lisse J, Bastian HM et al:Systemic
lupus erythematosus in three ethnic groups: III. A
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July 31, 2003