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Original research
Impact of fatigue on health-related quality of life and illness perception in a monocentric cohort of patients with systemic lupus erythematosus
  1. Elena Elefante1,2,
  2. Chiara Tani1,
  3. Chiara Stagnaro1,
  4. Francesco Ferro1,
  5. Alice Parma1,
  6. Linda Carli1,
  7. Viola Signorini1,
  8. Dina Zucchi1,
  9. Umberto Peta1,
  10. Adele Santoni1,
  11. Leonardo Raffaelli1 and
  12. Marta Mosca1
  1. 1Department of Clinical and Experimental Medicine, Rheumatology Unit, University of Pisa, Pisa, Italy
  2. 2Department of Medical Biotechnologies, University of Siena, Siena, Italy
  1. Correspondence to Marta Mosca; marta.mosca{at}med.unipi.it

Abstract

Background Fatigue is a very common and debilitating symptom in patients with systemic lupus erythematosus (SLE), even among those with a mild or inactive disease. The objective of this study is to define fatigue determinants and describe the impact of fatigue on health-related quality of life (HRQoL) and illness perception in a monocentric cohort of patients with SLE.

Methods This is a cross-sectional study. Adult patients with SLE were included. For each patient, demographics, medications, comorbidities, organ damage (Systemic Lupus International Collaborating Clinics Damage Index), active disease manifestations and Systemic Lupus Disease Activity Index scores were collected. It was evaluated if each patient met the definitions of remission and low disease activity. At enrolment, each patient completed the Short Form-36 (SF-36), Functional Assessment Chronic Illness Therapy-Fatigue (FACIT-F), Lupus Impact Tracker (LIT), Systemic Lupus Activity Questionnaire (SLAQ) and Brief Index of Lupus Damage (BILD). The FACIT-F questionnaire was also administered to a group of healthy controls.

Results 223 patients were included (mean age 44.9±13.2 years, median disease duration 13 years). 18.2% had an active disease, 43.5% met the definition of remission on treatment, and 11.8% had a concomitant fibromyalgia. The median FACIT-F score of our cohort was significantly lower compared with that of healthy controls (40 vs 47; p<0.001). FACIT-F scores were irrespective of age, disease duration, disease activity and damage. FACIT-F score was significantly lower in patients with fibromyalgia (p<0.01). FACIT-F scores demonstrated a significant correlation with all other patient-reported outcomes: SF-36 (r=0.53–0.77), LIT (r=−0.78), SLAQ (r=−0.72) and BILD (r=−0.28).

Conclusions Fatigue in patients with SLE has a strong negative impact on HRQoL and patient perception of the disease burden. Fatigue seems irrespective of disease activity but significantly influenced by the presence of fibromyalgia.

  • systemic lupus erythematosus
  • patient perspective
  • autoimmune diseases
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Key messages

What is already known about this subject?

  • Fatigue is a debilitating symptom in patients with systemic lupus erythematosus (SLE), even for those in remission or in low disease activity, thus representing a challenge for physicians in disease management.

What does this study add?

  • Our study demonstrates that fatigue negatively influences all aspects of patients’ quality of life, potentially leading them to overestimate disease activity.

  • Fibromyalgia seems to be an important determinant of fatigue in patients with SLE, while no correlation emerged with disease activity or damage.

How might this impact on clinical practice?

  • The controversial relationship between fatigue and disease activity and severity makes it necessary to carry out a more comprehensive assessment of patients with SLE.

  • Finding effective intervention programmes to improve fatigue in patients with SLE is of utmost importance because this symptom greatly contributes to SLE burden on patients’ life.

Introduction

Despite great improvements in the prognosis of patients with systemic lupus erythematosus (SLE) in recent decades,1 health-related quality of life (HRQoL) remains compromised in such patients, both compared with healthy controls and with patients affected by other chronic diseases.2–7 EULAR recommendations for monitoring patients with SLE8 and ‘treat-to-target’ recommendations in SLE9 include HRQoL as an important variable which should be regularly monitored in routine clinical practice.

Many factors can influence HRQoL in patients with SLE10: for example, musculoskeletal manifestations,11 12 organ damage,13 as well as demographic and socioeconomic factors, comorbidities, fibromyalgia, fatigue, and mood disorders.14 Of these, fatigue undoubtedly deserves further consideration not least because it is an extremely common symptom of SLE, reported by over 50% of patients at some time during their disease history.15 In addition, patients may consider fatigue to be a symptom that is more severe than pain, depression or anxiety.16 Crucially, literature reports that fatigue is one of the major determinants of work loss and impairment of work productivity in patients with SLE.17 18 In a recent UK-specific online survey addressed to patients with SLE, fatigue, invisibility and the fluctuating nature of the disease emerged as the main barriers to maintaining employment for patients.19

Psychosocial and behavioural factors, as well as mood and sleep disorders, may all play a major role in the aetiology of fatigue.20 The complexity of this symptom may explain why fatigue remains both an unmet need for patients with SLE21 and a challenge for their physicians. There are some new drugs which seem to be effective for fatigue: the available studies concerning the impact of belimumab on quality of life showed a significant improvement in quality of life in comparison with the control group22; in particular, belimumab can significantly improve scores on both the Short Form-36 and the Functional Assessment Chronic Illness Therapy-Fatigue after 52 weeks of treatment in the randomised controlled BLISS trials.23

However, some studies conducted among patients with rheumatoid arthritis and primary Sjogren’s syndrome have questioned the direct association between inflammation markers and fatigue, suggesting that non-inflammatory pathways mediate fatigue as well in chronic rheumatic diseases.24 25

Therefore, in light of the multifactorial origin of the symptom, non-pharmacological therapeutic strategies must also be considered. In particular, there is some evidence to show the effectiveness of aerobic exercise programmes in improving fatigue without a negative impact on disease manifestations in SLE.26 27

Current literature on fatigue in SLE is scarce and heterogeneous. The relationship between fatigue and clinical parameters of disease activity is still a matter of debate. Moreover, the correlation of fatigue with other patient-reported outcomes (PROs), especially with SLE-specific questionnaires, needs further investigation.

The objective of this study was to assess the impact of fatigue on HRQoL and patient perception of the disease in a monocentric cohort of patients with SLE. Further, the study aimed to define fatigue severity and its determinants; evaluate the relationship between fatigue and other ‘patient-driven’ data on HRQoL and SLE impact; and correlate fatigue with the ‘physician-driven’ definitions of remission and low disease activity state (LLDAS).

Methods

This is a cross-sectional, monocentric study performed at the Rheumatology Unit of the University of Pisa. Participants were adult inpatients and outpatients with SLE who met the 1997 American College of Rheumatology (ACR) classification criteria and regularly followed at our lupus clinic between June 2017 and June 2018.

The following data were collected for each patient at enrolment: epidemiological and demographic characteristics, disease duration, cumulative organ involvement, comorbidities, and concomitant medications. In addition, active disease manifestations and laboratory tests were evaluated at enrolment; disease activity was assessed using the Safety of Estrogens in Lupus Erythematosus National Assessment-Systemic Lupus Disease Activity Index (SELENA-SLEDAI)28 and the Physician Global Assessment (PGA); and organ damage was evaluated by the Systemic Lupus International Collaborating Clinics Damage Index (SLICC-DI).29 For patients with fibromyalgia, the diagnosis was pre-existing at enrolment in this study and was based on the ACR 1990 classification criteria.30

At enrolment, the percentage of patients fulfilling the definitions of remission and low disease activity was also evaluated. The Definition Of Remission In SLE (DORIS) definition31 was adopted for remission: a durable state characterised by clinical-SLEDAI=0 and PGA <0.5 (0–3). A distinction was made between ‘on treatment’ remission (which allowed stable maintenance antimalarials; low-dose corticosteroids (prednisone ≤5 mg/day); maintenance immunosuppressives and/or maintenance biologics) and ‘off treatment’ remission (which allowed only antimalarials).

The Asian Pacific Lupus Consortium definition of ‘low disease activity state’ was used to define low disease activity.32

At enrolment, each patient completed the following PROs to assess HRQoL, fatigue, impact of SLE on daily living, disease activity and organ damage:

  • The Short Form-36 (SF-36) assesses HRQoL.33 34 This questionnaire addresses eight domains exploring different aspects of HRQoL (physical function, role physical, role emotional, bodily pain, general health, vitality, social functioning and mental health); domain scores can be summarised into two global scores: the physical component summary and the mental component summary. Each score ranges from 0 to 100, with higher values representing better self-perceived HRQoL.

  • The Functional Assessment Chronic Illness Therapy-Fatigue (FACIT-Fatigue) (V.4)35 was used to assess fatigue. FACIT-Fatigue assesses fatigue in the physical, emotional, functional, social and daily living domains, and has been validated for use in SLE36 and proven to be the most effective questionnaire in identifying symptom variations in patients with SLE.37 The score ranges from 0 to 52, with lower scores indicating worse fatigue.

  • The Lupus Impact Tracker (LIT) is an SLE-specific questionnaire and was derived from LupusPRO in 2014 as a short-form instrument.38 LIT includes 10 questions about cognition, lupus medications, physical health, pain/fatigue impact, emotional health, body image and planning/desires/goals. The final score of the LIT questionnaire ranges from 0 to 100, with lower scores indicating a lower impact of SLE on patients’ life.

  • The Systemic Lupus Activity Questionnaire (SLAQ)39 was used by patients to self-evaluate disease activity.

  • The Brief Index of Lupus Damage (BILD) was used for patient self-evaluation of disease damage. BILD is derived from SLICC-DI and includes 26 items.40

The FACIT-Fatigue questionnaire was also administered to a group of 65 healthy controls, matched in age and sex.

Statistical analysis

Continuous data were reported as median and IQR or as mean and SD as appropriate. Categorical data were reported as percentage. The Student’s t-test, Mann-Whitney and χ2 tests were conducted for univariate analysis. The Spearman test was used for linear correlation between continuous data. Multivariate analysis was also performed by multiple linear and logistic regression for variables which were significantly associated within the univariate analysis. Analysis of variance with Bonferroni method was used for multiple comparison analysis. All p values less than 0.05 were considered statistically significant. Statistical analysis was performed using STATA V.13 software.

Results

The analysis included 223 consecutive patients with a diagnosis of SLE (1997 ACR classification criteria); patients were predominantly female (91.9%) and of Caucasian ethnicity (97.2%). Their mean age was 44.9±13.2 years, and the median disease duration was 13 years (IQR 5–20). Cumulative organ involvement of enrolled patients is reported in table 1.

Table 1

Cumulative and active organ involvement of the entire cohort

The median SLEDAI score at baseline was 2 (IQR 0–4). Patients with SLEDAI score >4 were considered to have an active disease and represented 18.2% of the cohort; of these patients the median SLEDAI score was 8 (IQR 6–10), indicating a moderate disease activity. Of the patients, 49.3% had SLICC-DI score >0, with a median SLICC-DI score of 2 (IQR 1–3). Of the patients enrolled, 11.8% had a diagnosis of concomitant fibromyalgia, according to the ACR 1990 classification criteria. The baseline characteristics of the cohort are summarised in table 2.

Table 2

Disease activity, damage, comorbidities and treatment at the time of enrolment

At enrolment, the most frequent active disease manifestations were articular (16.1%) and/or haematological (14.8%), followed by cutaneous manifestations (12.1%), while only a minority of patients manifested an active renal disease (6.7%) (table 1).

Most patients at enrolment were being treated with hydroxychloroquine (HCQ) (77.6%) and low-dose steroids (54.3%), with a median daily dose of 5 mg (IQR 5–5) of prednisone equivalent. Of the cohort, 45.3% were on immunosuppressive therapy with conventional disease-modifying antirheumatic drugs, while only a small percentage of patients (7.2%) were treated with biologic disease-modifying antirheumatic drugs, mainly belimumab, in combination with HCQ and/or an immunosuppressive drug (table 2).

At baseline, patients were divided into four groups, according to the following definitions: LLDAS; complete or clinical remission ‘on treatment’ (RONT); complete or clinical remission ‘off treatment’ (ROFT); and active disease (for patients who did not meet any of the previous definitions). Of the patients in our cohort, 175/223 (78.5%) were at least in LLDAS. In particular, the majority of our patients also met the RONT definition (97/223; 43.5%); 45/223 (20.2%) were in ROFT condition, while 33/223 (14.8%) met only the definition of LLDAS. Finally, the remaining 48 patients (21.5%) manifested an active disease.

The median score of the FACIT-Fatigue questionnaire in our cohort was 40 (IQR 32–46, minimum 7, maximum 52), which was significantly lower compared with the FACIT-Fatigue score of 47 (IQR 44–50) of a group of matched healthy controls (p<0001).

Interestingly, similar FACIT-Fatigue scores were irrespective of age at enrolment and disease duration; no correlation was observed between ongoing treatment and FACIT-Fatigue scores. On the contrary, FACIT-Fatigue scores were significantly lower (indicating greater fatigue) in patients with fibromyalgia (p<0.01).

As may be expected, FACIT-Fatigue demonstrated a strong correlation with all other PROs. In particular, FACIT-Fatigue scores showed a significant positive correlation with all the domains of SF-36 (p<0.001; r=0.53–0.77), suggesting that a lower level of fatigue was associated with a better HRQoL; the strongest correlation was between FACIT-Fatigue and the vitality domain (r=0.77), which both report patient tiredness. Moreover, a strong negative correlation was apparent between FACIT-Fatigue and LIT scores (r=−0.78; p<0.001), suggesting that fatigue is an important determinant in the perception of SLE impact on patients’ daily living, irrespective of disease activity and fibromyalgia.

FACIT-Fatigue scores also showed a strong negative correlation with the self-evaluation of disease activity questionnaire (SLAQ) (r=−0.72; p<0.001), as patients with more severe fatigue perceived their disease as being more active. FACIT-Fatigue also presented a significant negative correlation with the BILD questionnaire, which reports patient self-evaluation of disease damage (p<0.01; r=−0.28).

On the other hand, in comparison with the physician’s assessment, FACIT-Fatigue scores did not vary significantly among the four groups of disease activity (LLDAS, RONT, ROFT and active disease) (table 3), and no correlations were observed between FACIT-Fatigue and specific active organ involvement.

Table 3

FACIT scores in the different disease activity groups

Similarly, there was no identifiable correlation between FACIT-Fatigue and the physician’s assessment of organ damage, as reported by the SLICC-DI.

Discussion

In this cross-sectional study we analysed the role of fatigue on patient HRQoL, as well as the relationship between the physician’s clinical evaluation of the disease and the patient’s perception of health status.

We enrolled consecutive patients with SLE regularly followed at the Rheumatology Unit of the University of Pisa. Our cohort consisted principally of outpatients with mild-moderate disease activity; 18.2% of participants had an SLEDAI score >4 (active disease), with a median SLEDAI score of 8. The most frequent active disease manifestations at enrolment were articular, haematological and cutaneous.

In terms of the particular aspect of fatigue, the median FACIT-Fatigue score of the participants was 40. Despite the fact that this score was higher compared with that of other SLE cohorts (eg, the EXPLORER trial36), patient FACIT-Fatigue scores were significantly lower (more severe fatigue) compared with those of a group of matched healthy controls (47 vs 40; p<0.001). This underlines that, even in a group of outpatients with SLE who are predominantly in remission or in LLDAS, fatigue continues to be an important symptom characterising this chronic condition. This has also been confirmed in a recent work done in the framework of the European Reference Network on Rare and Complex Connective Tissue and Musculoskeletal Diseases (ERN ReCONNET), in which existing clinical practice guidelines on SLE have been reviewed with the aim of outlining the state of the art and identifying current unmet needs. In this context, the persistence of symptoms such as pain and fatigue, even when remission of SLE disease activity has been achieved, has emerged as an unmet need from the patient’s perspective.41

In our study, FACIT-Fatigue scores did not present any correlation with age at enrolment and/or disease duration.

Fatigue in SLE has a multifactorial origin and disease activity may play a role in its pathogenesis. Some studies seem to demonstrate a correlation between fatigue and disease status,20 42 43 but this correlation appears rather controversial.

In our study, there was no correlation between FACIT-Fatigue and disease activity and damage accrual evaluated by the physician. Indeed, patients in LLDAS or remission did not report significantly higher FACIT-Fatigue scores, indicating lower fatigue, compared with active patients. Patient perception of health status therefore appeared to be independent of a physician’s assessment of the condition. Moreover, in our cohort, even with the limitation of a low number of active patients, none of the single active organ manifestations demonstrated a significant impact on fatigue severity. It is interesting to note that even patients who presented the most severe disease manifestations at baseline, such as active renal involvement, did not report higher levels of fatigue compared with inactive patients.

Our findings are consistent with some data in the literature that show that disease activity and damage are poor indicators of fatigue in patients with SLE. For example, in the LUMINA cohort,44 the analysis over time of factors associated with fatigue showed that pain, abnormal illness-related behaviours, helplessness and constitutional manifestations were associated with increased levels of fatigue, while SLE activity and damage were not. Yilmaz-Oner et al,45 in a group of Turkish patients with SLE, found no significant association between fatigue and SLEDAI scores, but multidimensional assessment of fatigue scores were positively correlated with age, anxiety and depression and negatively correlated with the SF-36 domains.

Other factors may therefore influence the presence of fatigue15 46: anxiety and depression disorders, for example, seem to be important independent predictors of fatigue in patients with SLE.2 47 In a recent work by Azizoddin et al48, stress, depression and pain appeared to be the largest independent contributors to fatigue among 116 multiethnic patients with SLE, without a known concurrent fibromyalgia. On the contrary, disease activity, sleep and physical health were not associated with fatigue.

Of the comorbidities, fibromyalgia seems to significantly influence the severity of reported fatigue.15 In our cohort, fibromyalgia was seen to have a considerable impact on patient HRQoL. Indeed, in the multivariate analysis, FACIT-Fatigue scores were significantly lower (suggesting a higher level of fatigue) in patients with fibromyalgia compared with patients without (p<0.01), irrespective of disease activity, organ damage, age and disease duration. So this suggests that fibromyalgia may account for fatigue in our cohort more than inflammatory disease.

It is therefore crucial to assess and manage fatigue in the care of patients with SLE as it is one of the most common factors affecting all aspects of patient HRQoL,2 14 as is evident from our study. In fact, we observed a strong positive correlation not only between FACIT-Fatigue and the vitality domain (which also describes tiredness), but also with all other SF-36 domains (r=0.53–0.77), with a similar impact of fatigue both on physical and mental health. The correlation between fatigue and a lower HRQoL is already well documented in literature. For example, in the EXPLORER trial,36 FACIT-Fatigue scores showed a similar strong correlation with the SF-36 domain scores (r=0.520.68), irrespective of disease activity. Similarly, in a previous work, Bruce et al15 observed a strong correlation between fatigue, measured by the Fatigue Severity Score, and the SF-36 domains in a cohort of 81 patients with SLE (from r=−0.5 to r=−0.82). Petri et al49 analysed pooled treatment and placebo data from a phase Ib clinical trial of adults with moderate/severe SLE and found that improvements in patient-reported pain or fatigue correlated with improvements in overall health, measured by SF-36 and by Patient Global Health Assessment Numeric Rating Scale.

The strong, inverse correlation we observed between FACIT-Fatigue and LIT scores (r=−0.78), irrespective of disease activity and fibromyalgia, is of particular interest. Patients with higher levels of fatigue manifested a greater perception of SLE impact. This underlines the fact that fatigue contributes significantly to the determination of disease burden in a patient’s daily living. In a recent work by Nowicka-Sauer et al,50 fatigue together with anxiety, depression, sleep quality and pain has proved to have a significant relationship with negative illness perception.

As a final point, we found that higher levels of fatigue in our patients significantly correlated with higher SLAQ scores (r=−0.72), irrespective of fibromyalgia and disease activity or damage. This suggests that fatigue represents a puzzling factor in the complex clinical picture of patients with SLE, which leads them to overestimate SLE activity and severity and therefore become dissatisfied with the care process and health status.

We acknowledge that this study has some limitations, notably the fact that we have not evaluated certain factors which may be associated with fatigue and poor HRQoL, such as mood disorders, education level and socioeconomic conditions. Another limitation is the cross-sectional design of the study: it would be interesting to prospectively monitor patients to evaluate if, in each single patient, fatigue severity changes over time in response to different phases of the disease and/or to therapeutic interventions. Moreover, we evaluated the state of remission/LLDAS at last visit, but we did not consider, in our analysis, the duration of such conditions. Finally, being our patients were mainly Caucasians, we cannot generalise our results to all ethnic groups. Despite such limitations, we think that our study has certain strengths: namely, the large number of patients enrolled, all of which regularly followed at the same centre, and the availability of complete clinical data and PROs. In particular, we compared clinical parameters with the results of both generic and SLE-specific PROs, which give complementary information on patient health status.

Moreover, we do not believe that the outpatient origin of the majority of patients enrolled in this study should be considered a limitation. In fact, we think that it is more difficult for physicians to identify which factors have a negative impact on daily living for patients in remission or with a mild disease. Therefore, it is primarily in this context that the discrepancy between patient and physician perception becomes more evident and may negatively influence disease management.

Conclusions

In conclusion, fatigue appears as an extremely frequent and pervasive symptom in patients with SLE, even for those in remission or in LLDAS, and therefore deserves greater consideration in routine clinical care. The relationship between fatigue and disease activity and severity is controversial, and this makes it necessary to carry out a more comprehensive assessment of comorbidities such as fibromyalgia which play an undoubtedly important role in the genesis of fatigue. The persistence of such a debilitating symptom over time may lead the patient to overestimate disease activity, which in turn leads to dissatisfaction with the care process and could potentially impact adherence to treatment or care.

Finding effective intervention programmes to improve fatigue in patients with SLE is of utmost importance, if we consider the burden of this symptom on patients’ quality of life and its influence in determining patient perception of SLE impact.

Acknowledgments

The authors wish to thank the nurses of the Lupus Clinic of the Rheumatology Unit of the University of Pisa. Lucia Pedrocco, Maria Tristano, Sabrina Gori, Valentina Venturini, Carla Puccini, Manuela Terachi and Catiuscia Zoina actively contributed to carrying out this study by helping physicians distribute the questionnaires to patients with lupus.

References

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Footnotes

  • Contributors EE contributed to the acquisition of data, and to the analysis and interpretation of data, and was in charge of writing the manuscript. CT contributed to the conception and design of the study and to the acquisition of data, was responsible for the analysis and interpretation of data, and contributed to writing the manuscript. CS, FF, AP, LC, VS, DZ, UP, AS and LR actively contributed to the acquisition of data and drafting the manuscript. MM contributed to the conception and design of the study and to the acquisition of data, was responsible for the analysis and interpretation of data, and contributed to writing the manuscript. All authors have read and approved the final version of the article.

  • Funding EE received financial support from the INTEGRATE project (European Commission, 3rd Health Programme, Proposal ID 769736) and from the University of Pisa (BIHO).

  • Competing interests None declared.

  • Patient consent for publication Not required.

  • Ethics approval The study was approved by the local ethics committee ('Comitato Etico di Area Vasta Nord Ovest' (CEAVNO), committee’s reference number: 14478). Patients signed informed consent for the study.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Data availability statement Data are available upon reasonable request.

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