Depression and Fatigue in Rheumatoid Arthritis-
A Study in Southern India
Emily James, Suseem Sundaram, Renjitham*
School of Advanced Sciences (SAS), Vellore Institute
of Technology (VIT), Vellore.
*Corresponding Author E-mail: emilyjames2001@gmail.com,
srsuseem@vit.ac.in
ABSTRACT:
Rheumatoid
Arthritis is a chronic autoimmune condition in which the patient experiences
pain, joint immobility which in some instance can also lead to disability, and
thus difficulty in carrying out various activities of daily living. It is a
natural consequence that patients may experience varying degrees of depressive
symptoms and fatigue. Aim and Objectives: In our study, it is our
objective to find out the prevalence of depression, its severity and its
correlation with disease activity, pain and inflammatory markers like ESR. We
also attempted to quantify the fatigue using the MAF scale by calculating the
GFI (Global Fatigue Index) and its prevalence in remission vs non remission
patients. Study design: The study is a cross-sectional observational
study of consecutive patients with a diagnosis of RA as per EULAR 2020
criteria. The patients were interviewed using standard questionnaires MAF
(multidimensional assessment of fatigue questionnaire) and PHQ9 (Patient Health
Questionnaire 9). Tools used in the study: Fatigue was measured by using
MAF (Multidimensional Assessment of Fatigue). Depression is measured using the
PHQ9 questionnaire. Results: The population studied was found to have a
prevalence of 33.5% depression. The patients’ mean age was 52.45±10.53 years and disease duration 8.02±6.22 years.
Their mean DAS28 was 2.96±1.1. The mean PHQ-9 score was 3.99±3.5., mild (26%), moderate (5.5%), moderately severe (1.5%) and severe
(0.5%) degrees. Correlation of PHQ9 scores with DAS, VAS and ESR was done to
see if there is a relation of depression to any of the clinical outcomes. It
was found that depression had a positive correlation with disease activity
score DAS 28 (coefficient of correlation 0.167, p = 0.018), VAS pain
scores (coefficient = 0.361, p < 0.001) as well as ESR
(coefficient = 0.217, and p = 0.002).
Fatigue
was evaluated using the MAF which gave the Global Fatigue Index (GFI). The mean
MAF score was 8.62±3.33. 78% of patients had fatigue in the level (0-10),
20.5% in the (10-20) level and 1.5% in the (20-30) level. Statistical test for
comparison between groups using t test was found to be significant with p value
0.034.
Conclusion:
Our study on both depression and fatigue once again emphasises the need for
rheumatologists especially in the Indian scenario to address them in their
routine clinical practice. There should be regular screening for these
conditions during the patient visits similar to other risk factors screening in
RA.
KEYWORDS: Patient Health Questionnaire, Global Fatigue Index,
Multidimensional Assessment of Fatigue, remission, correlation.
INTRODUCTION:
Arthritis
is a chronic auto immune disorder characterized by pain, swelling and
stiffness. Rheumatoid arthritis affects approximately 1% of the population
worldwide. Its etiology is still unknown.1 Depression can affect
anyone and it is one of the most widespread illnesses, often co-existing with
other serious illnesses like arthritis.
Depressive disorders can start even at a young age;
they reduce people’s functioning and can be recurring.2
Fatigue
is reported rarely and treatment options or strategies of management are
discussed infrequently. Many physicians consider fatigue a ‘standard norm’ of
the treatment or disease, on which nothing can be done, and hence to be
endured.3
Depression
and fatigue are reported by a majority of the RA population and could be due to
a number of factors. However, both often go unrecognised or unaddressed in the
management of the disease. Indeed, even though many potential outcome measures
were considered in the series of international meetings that developed the core
set, fatigue is not mentioned at all4. Yet, fatigue and depression
can have subtle but overwhelming effects on the quality of life of patients
suffering from it.
Recent
OMERACT meetings have brought to the notice of the physicians the effect of
fatigue and its implications in the lives of RA patients and as a consequence
fatigue is now included as one of the core outcome measures for patients with
RA along with pain and morning stiffness.5
FATIGUE:
Fatigue
in RA has not been fully understood. Chronic pain, coexisting affective
disorders like depression, cognition problems and sleep disorders again seen
commonly in the RA population could be a contributive factor to the fatigue
experienced. The circulating cytokine abnormalities and high inflammatory
markers is one among many causes postulated to be the underlying pathology for
the condition. Patients experiencing severe fatigue also are found to have
higher disease activity and higher pain levels. Among the two, fatigue has
often shown stronger correlation with pain than disease activity.6 A
systematic review by Nicholaus et al7 found possible causes of
fatigue in illness-related aspects, physical functioning, cognitive/emotional
functioning, and social aspects. Another review by Zielinski MR has reported a relationship
between types of fatigue and certain brain areas, cell types, and phenotypes
that mediate the symptoms observed. Consequently, immunomodulatory
agents and drugs targeting inflammatory pathways could serve to treat fatigue
occurring in autoimmune and related diseases.8
Untill now, management
of fatigue in RA has not been a priority of rheumatologists. Treatment of
underlying disease activity correlates with fatigue relief. Exercise programmes
and supervised self-management programmes with cognitive-behavioural therapy,
mindfulness and reinforcement reminders9 which have shown to
be beneficial in fatigue management should be incorporated into the patient
care of the RA patient.
Possible
consequences of fatigue were also found among illness-related aspects, physical
functioning, cognitive/emotional functioning, and social aspects.
DEPRESSION:
Seen
commonly in RA patients could also be associated primarily with the chronic
pain experienced by the patients. Several studies report that baseline
depression and anxiety levels in RA are associated with decreased likelihood of
achieving remission,10,19,20 although others have not found this.
There appears to be a complex interplay between depression and RA, with shared
inflammatory pathways postulated.11 Notably, Schrepf et.al have
demonstrated how chronic inflammation in RA has an impact on the brain.12
Higher peripheral inflammation was consistently correlated with neural
connectivity patterns, particularly inferior parietal lobe and medial
prefrontal cortex over a 6-month period. Unrelieved pain affects all dimensions
of quality of life.13 RA induced disability, interference in
activities of daily living can also affect the psychosocial life of the patient
and can account for the depression.
SIGNIFICANCE:
Management
of fatigue whether in Rheumatoid Arthritis or other chronic conditions like
cancer is evasive. Fatigue does not always improve with improvement in disease
activity and may exist quite prominently in absence of functional disability or
even during normal disease outcome. In Rheumatoid Arthritis treatment of the
underlying inflammatory condition using TNF inhibitors has been found to have a
beneficial effect on fatigue. Depression can affect the quality of life of the
patients, cause complications like sleep and eating disorders and also lead to
suicidal ideology in most severe cases. With earlier diagnosis and aggressive
treatment, many individuals can lead a decent quality of life.14. It
is important that rheumatologists are aware of the impact of depression on the
lives of their patients. Rheumatologists should be able to identify patients
prone to both these conditions and intervene early to have a beneficial
outcome.
AIM
AND OBJECTIVES:
In
this study, we have attempted to study the prevalence of depression among the
RA study population and to judge its severity using the PHQ9 (depression) and
MAF questionnaires.
Further,
we aimed to correlate the severity of depression and fatigue with age of the
patient, duration of illness, disease activity scores (DAS 28 ESR), VAS (pain)
scores and ESR values using Pearson’s correlation test. Additionally, a
comparison on fatigue experienced by remission v/s non remission patient was
also attempted. The objective here was to analyse the GFI scores obtained by
patients in remission for prevalence of fatigue and compare with GFI levels in
non-remission patients.
STUDY
DESIGN:
The
study is a cross-sectional observational study of consecutive patients with a
diagnosis of RA as per EULAR 2020 criteria. The PHQ9 (Patient Health
Questionnaire 9) questionnaire in depression and MAF (multidimensional
assessment of fatigue) questionnaire in fatigue were used as the tools for
assessment. Patients unwilling to attempt either of these questionnaires due to
the length or personal nature of questions or any other reason were excluded
from this study. Incomplete responses were also rejected. Hence the final
number of completed respondents was 200.
ETHICAL
CONSIDERATIONS:
Ethical
approval was obtained prior to the onset of the study (VIT/IECH/006/April16,
2016). The patients were selected based on an inclusion exclusion criteria and
informed consent was obtained.
TOOLS
USED IN THE STUDY:
Fatigue
was measured by using subjective measures using questionnaires like MAF
(Multidimensional Assessment of Fatigue). The MAF questionnaire measures
fatigue based on 4 criteria: 1) Severity 2) Distress 3) Effect on Activities of
Daily Living (ADL) and 4) Timing. It gives the GFI or global fatigue index
which is the total score obtained as sum of the 15 items scored. Depression is
measured using the PHQ9 questionnaire and is based on the Diagnostic and
Statistical Manual of Mental Disorders (DSM-IV) diagnostic criteria and it
allows measuring the mood of the patient in the weeks prior to consultation.15
Erythrocyte Sedimentation Rate (ESR) test is a blood test conducted to detect
the presence of arthritis. Normal ESR (mm/hr) = Age (in years) + 5 (if
female). Higher values indicate inflammation as in RA or other interpretations.16.
VAS (visual analogue scale) is a scale on 0-10 with no pain taken as 0
and pain level graded upto 10. DAS (Disease Activity Score) ESR is used to
measure the severity of disease and scores range from remission score less than
2.6 and higher grades indicating higher severity of disease.
Table
1: Analysis of the severity of depression in the population.
|
Level of Depression (PHQ-9) |
Frequency |
Percent |
|
Minimal |
133 |
66.5 % |
|
Mild |
52 |
26 % |
|
Moderate |
11 |
5.5 % |
|
Moderately severe |
3 |
1.5 % |
|
Severe |
1 |
0.5 % |
|
Total |
200 |
100 % |
RESULTS:
1) Depression:
The
population studied was found to have a prevalence of 33.5% depression. The
patients’ mean age was 52.45 ±10.53 years and disease duration
8.02±6.22 years, 90.5% were females and 9.5% males (F:M
9.5:1). Such a female predominance is well established in rheumatoid arthritis
in other studies.17,18. Their mean DAS28 was 2.96±1.1. The mean PHQ-9 score was 3.99±3.5. 33.5% of
patients had depression; mild (26%), moderate (5.5%), moderately severe (1.5%)
and severe (0.5%) degrees.
Fig
1: Categories of Disease activity
Fig
2. Patient categories of pain by VAS scale
Fig 3. Scatter plot
correlation between PHQ 9 and DAS 28 (ESR.)
Fig 4. Scatterplot
correlation between PHQ 9 and VAS
PHQ-9 is significantly
correlated with DAS-28 (coefficient = 0.167, p = 0.018).PHQ-9 is
significantly correlated with VAS (coefficient = 0.361, p < 0.001).
The population was also
categorised based on clinical outcomes like disease activity scores using DAS
28 (ESR), VAS(pain) and ESR values.
1.
The mean DAS-28 score was 2.96±1.1. 60% of patients had disease; low disease activity (23.5%),
moderate disease activity (33%), and severe disease activity (3.5%).
2. VAS- pain. The mean VAS score was 3.01±2.16. 92% of
patients had pain; mild pain (60%), moderate pain (29%), and severe (3%).
Next
correlational studies using scatter plot were carried out to find relation
between PHQ9 depression scores with DAS28, VAS and ESR.
Fig
5. Scatterplot correlation between PHQ 9 and ESR.
PHQ-9
is significantly correlated with ESR (coefficient = 0.217, p = 0.002).
2)
Fatigue:
Fatigue
was evaluated using the MAF which gave the Global Fatigue Index (GFI). The mean
MAF score was 8.62±3.33. 78% of patients had fatigue in the level (0-10),
20.5% in the (10-20) level and 1.5% in the (20-30) level.
Table 2: Distribution based on fatigue severity using
MAF GFI scores.
|
Fatigue (MAF) |
Frequency |
Percent |
|
0-10 |
156 |
78 % |
|
10-20 |
41 |
20.5 % |
|
20-30 |
3 |
1.5 % |
|
Total |
200 |
100 % |
Table 3. Categorisation of
remission and nonremission patients according to MAF GFI scores
|
Fatigue |
Disease Activity |
|||
|
Remission (Cure) |
Non-remission |
|||
|
f |
% |
f |
% |
|
|
0-10 |
66 |
42.3% |
90 |
57.7% |
|
10-20 |
13 |
31.7% |
28 |
68.3% |
|
20-30 |
1 |
33.3% |
2 |
33.3% |
Our
next objective was to find if there was a significant difference in the fatigue
frequency in remission vs the non- remission population. Remission patients
were categorised based on DAS 28 (ESR) score less than 2.6.
Statistical
test for comparison between groups using t test was found to be significant
with p value 0.034. Thus fatigue experienced by remission group significantly
differs from the non- remission group.
DISCUSSION AND CONCLUSION:
Depression
is one of the common comorbidities in rheumatoid arthritis. It affects the
quality of life of the affected and can interfere with their daily activities.
In our study we have tried to study the prevalence of depression in our patient
population. Previous reports have shown that there is a frequency range of 13%
- 56% of depression in the RA population using various tools of measurement.19,20
Arthritis can also compromise the quality of life of patients in addition to
producing such a psychological impact.21 Our study showed a
prevalence of 33.5 % depression. We also evaluate the severity of depression
experienced by the RA patients using the PHQ-9 questionnaire. Majority of the
population studied suffered from minimal (66.5%) to mild (26%) depression. Less
than 10% of the population had a higher grade i.e. moderate to severe
depression and only 1 patient showing severe depression. Item wise analysis of
the response shows that disturbance in sleep and eating patterns was the most
common among the symptoms experienced by the patients with depression. Also
decrease in energy levels and a slowness in movement was reported by a sizeable
population. Suicidal ideation was an extremely rare symptom. Hence we can
conclude that depression was a bothersome symptom which interfered with the
patients daily routine and compromised their quality of life. However major
depressive disorder with suicidal ideation was an extremely rare condition.
This warrants the need for counselling the patients for depression.
Correlation with DAS, VAS and ESR was done to see if there is a relation of
depression to any of the clinical outcomes. It was found that depression had a
positive correlation with disease activity score DAS28 (coefficient of
correlation 0.167, p = 0.018), VAS pain scores (coefficient = 0.361, p
< 0.001) as well as ESR coefficient = 0.217, and p = 0.002. This
finding is in agreement with several other studies which report a positive
co-relation of depression with disease activity scores, pain and level of
inflammatory markers16,22,23. Pain VAS scores were found to have the
most correlation with depression, which supports the pathophysiological
hypothesis of interplay between inflammatory pathways and depression. Excessive
ROS or insufficient antioxidant defence could contribute to chronic
inflammatory pathogenesis of RA, which cause multiple clinical symptoms such as
fatigue, morning stiffness and loss of functional ability and even depression.24
This could explain the positive significant correlation between disease
activity and depression we saw in our study.
Fatigue
in Rheumatoid Arthritis: Fatigue a symptom which is common in RA patients can
be measured using the MAF (Multidimensional Assessment of Fatigue). Fatigue
severity was measured using MAF. Patients were categorized based on MAF GFI
scores 0-10(78%), 10-20(20.5%) and 20-30(1.5%). Further fatigue among the
remission and non-remission patient groups was compared using t test and was
found to be significant. Thus, we can conclude that fatigue is present to a
greater extent in the patients with active disease and improves with
improvement in disease activity.
Our
study on both depression and fatigue once again emphasises the need for
rheumatologists especially in the Indian scenario to address them in their
routine clinical practice. This could, for example, take the form of an annual
or biennial assessment, delegated to appropriate staff due to paucity of time
for rheumatologist himself and should be done on a regular basis just as all
other risk factors screening in RA. Techniques like progressive muscle
relaxation techniques and guided imagery have already been proven to be
beneficial in reducing fatigue and improving quality of life especially among
patients with cancer patients undergoing chemotherapy.25. Such
interventions in rheumatoid patients is likely to have similar benefits and
needs to be advocated into practice.
Limitation
of the study: The study was a cross-sectional, observational design where
patient characteristics, clinical parameters were studied in one patient visit.
It would have been interesting to study the fluctuations in depression and
fatigue score with changes in disease activity which are evident over a period
of time. Thus a longitudinal study may be able to give deeper insights rather
than a cross-sectional study which can be stated to be a limitation of the
study.
CONFLICT
OF INTEREST:
The
authors have no conflicts of interest regarding this investigation.
ACKNOWLEDGEMENTS:
The
authors would like to thank Dr Padmanabhan Shenoy, Rheumatologist and Director,
Dr Shenoy’s CARE Hospital, Vytilla, Kochi, Dr Shanoj KC, Ethics Committee and
staff for providing the facilities to conduct the study. We would also like to
thank the host institutions for their support, and also the patients for their
cooperation and patience in completion of the questionnaires.
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Received on 03.11.2021
Modified on 14.03.2022
Accepted on 11.05.2022
© RJPT All right reserved
Research J. Pharm. and Tech 2023; 16(3):1175-1179.
DOI: 10.52711/0974-360X.2023.00195