Research Article - International Journal of Clinical Rheumatology (2022) Volume 17, Issue 1

Depression in children with systemic lupus Erythematosus in correlation with disease activity

*Corresponding Author:
Heba Taher Osman
Department of Pediatrics, Faculty of Medicine, Cairo University, Egypt
E-mail: drhebataherosman@gmail.com

Received: 01-Jan-2022, Manuscript No. fmijcr-22-53203; Editor assigned: 07-Jan-2022, PreQC No. fmijcr-22-53203(PQ); Reviewed: 21-Jan-2022, QC No. fmijcr-22-53203; Revised: 24-Jan-2022, Manuscript No. fmijcr-22-53203(R); Published: 30-Jan-2022, DOI: 10.37532/1758-4272.2022.17(1).016-025

Abstract

Introduction

Systemic lupus erythematosus (SLE) is a chronic, multisystem, autoimmune disease characterized by periods of increased disease activity caused by inflammation of blood vessels and connective tissue. Pediatric patients with SLE have a more severe clinical course in comparison with their adult counterparts. Compared with adults, children with SLE have more widespread organ involvement [1]. Approximately 20% of all patients who have SLE are diagnosed in childhood. The onset of SLE is rare in those younger than 5 years of age; most pediatric patients are diagnosed in adolescence [2].

SLE has a more severe clinical course than that seen in adults, with a higher prevalence of lupus nephritis, hematologic anomalies, photosensitivity, neuropsychiatric, and mucocutaneous involvement [3]. Because SLE can present with a number of signs and symptoms, the diagnosis often is considered in children who have prolonged unexplained complaints [2]. Glucocorticoids are the mainstay of pharmacological treatment in patients with pSLE with or without major organ involvement. Glucocorticoids are given mainly as oral prednisone, prednisolone, or intravenous high-dose methylprednisolone. Daily doses of glucocorticoids can range from 0.5 to 2 mg/kg/day. The initial dose is decided by the extent of disease severity and organ involvement [4].

The relationship between chronic physical disease and mental illness is bidirectional. Understanding the relationship between mental and physical health is of utmost importance in pediatric populations, in which both poor physical and mental health outcomes can affect development and lead to long-lasting consequences [5]. The prevalence of depressive symptoms is higher in children with SLE (20%) when compared to their healthy peers (8%) and the general adolescent population (13%). Depression may be the first presentation of juvenile SLE. They may present with sadness, decreased interest in activities, poor communication, and absences from school, fatigue and irritable moods [6]. However, very young children tend not to look depressed but they may present rather with insomnia, weight loss, and increased or new onset of `anxiety symptoms. Anhedonia and social withdrawal are also significant symptoms and are considered a sign of severe illness in a younger child [7]. Depression can have significant lasting effects when diagnosed in childhood and adolescence, and has been associated with later interpersonal difficulties, early parenthood, impaired school performance, unemployment, and other mental disorders and substance use disorders [8] as well as high risk of suicide [9].

The aim of this current study was to evaluate the prevalence and severity of depression among pediatric patients with SLE and its relation to disease activity. The correlation between the use of corticosteroids and disease activity was also studied. It was hypothesized that patients with more disease activity would be more depressed.

Methods

This study was a cross-sectional, analytical clinical study conducted on 30 SLE patients in activity and another 30 SLE patients not in activity all within an age range of 8 to 12 years (inclusive of 49 females and 11 males). They were recruited from the outpatient clinic of the collagen vascular unit in the Specialized Children Hospital, Cairo University during their regular follow up visit over a 6-month period from April 2019 to October 2020. The required sample size has been calculated using the Sample Size Calculator for Prevalence Studies (SSCPS) version 1.0.01, which is based on the formula described by Daniel [10] that is as follows: n= Z*P 1-Pd2Where n = sample size, Z = Z statistic for the desired level of confidence, P =expected prevalence, and d = level of precision.

The study design and methodology were approved by the scientific research committee of the Department of Pediatrics, Faculty of Medicine, Cairo University and also by the Local Ethics Committee of Scientific Research, Faculty of Medicine, Cairo University. Before the enrollment in this study, an informed assent from each participant was taken and informed consents from their caregivers were obtained.

Clinical history was obtained from the patients that included demographic data as well as Clinical manifestations of SLE including arthritis, malar rash, nephritis, central nervous system (CNS) disease, fever, fatigue, weight loss, hair loss, stomach pain, headaches, easy bruising and painful joints. Also, history of prescribed medications including doses like corticosteroids, hydroxychloroquine, immunosuppressants and pain killers was recorded. Systemic lupus erythematosus disease activity index (SLEDAI) was used to assess disease activity [11]. It is based on 24 questions assessing the clinical manifestations of SLE which measures manifestations over the past 10 days, including physical findings and laboratory values weighted across organ systems. The final score ranges between 0 and 105. The higher the score, the more significant the degree of disease activity. Scores of 6 and above are considered to be consistent with active disease requiring therapy. General examination of all participants was performed, and their weight, height, BMI and blood pressure were recorded. A detailed chest, cardiac and abdominal examination was also performed. Laboratory tests in the form of CBC, ESR, C3, C4, ANA test, double stranded DNA, Anti double stranded DNA , Anti –smith antibody , CRP, Antiphospholipid antibodies and Circulating lupus anticoagulant were done to all participants.

Depressive symptoms and their severity were assessed using the Children’s Depression Inventory (CDI) (Arabic version) (2nd edition) [12] which is a selfrated, symptom-oriented scale consisting of 27 groups of statements suitable for assessing depression in youths aged 7 to 17 years old. The statements are related to depressive symptoms including sadness, pessimism, self-depreciation, anhedonia, misbehavior, academic decrement, worrying, self-hate and blame, interpersonal problems, irritability, crying spells and suicidal ideation. On administrating Children’s Depression Inventory (CDI), the participants were asked to choose one statement out of the three statements in each group that best described him or her in the past two weeks. It took around 10 minutes to complete.

Statistical analysis

Data were subjected to computer assisted statistical analysis using statistical package for social science ― SPSS‖ VERSION 18. Nominal data were expressed as frequency and percentage and were compared using Chi-square test. Numerical data were expressed as mean +/- standard deviation and were compared using T test. Nonparametric data were expressed as median ―inter quartile range ―and were compared using Mann Whitney u test. Associations between numerical variables were studied using Pearson’s correlation. p values less than 0.05 were considered significant. Charts and graphs were prepared using Excel or SPSS programs.

Results

Among the 60 patients included in this study 49 patients (81.7%) were females while 11 patients (18.3%) were males (Tables 1-3).

Demographic data of the studied patients Total no. = 60
Age (years)                              Mean ± SD 10.98 ± 1.30
Range 8-12
Sex                                     Female 49 (81.7%)
Male 11 (18.3%)
Residence Rural 34 (56.7%)
Urban 26(43.3%)

Table 1. The demographic data of the studied patients.

Clinical manifestations at the onset of the disease
Rash No 29 (48.3%)
Yes  31 (51.7%)
Arthralgia No 12 (20.0%)
Yes  48 (80.0%)
Fever         No  31 (51.7%)
Yes  29 (48.3%)
Hair loss No 48 (80.0%)
Yes 12 (20.0%)
Seizures No 52 (86.7%)
Yes   8 (13.3%)
Serositis No 56 (93.3%)
Yes 4 (6.7%)
Nephritis No   40 (66.7%)
Yes 20 (33.3%)
Photosensitivity No 56 (93.3%)
Yes  4 (6.7%)
Vasculitis No  56 (93.3%)
Yes  4 (6.7%)
Oral ulcer No 56 (93.3%)
Yes  4 (6.7%)

Table 2. The clinical manifestations of the studied patients at the onset of the disease.

During the course of the disease Total no. = 60
Rash No 20 (33.3%)
Yes  40 (66.7%)
Arthralgia No 7 (11.7%)
Yes  53 (88.3%)
Fever         No  23 (38.3%)
Yes  37 (61.7%)
Hair loss No 31 (51.7%)
Yes 29 (48.3%)
Seizures No 49 (81.7%)
Yes   11 (18.3%)
Serositis No 53 (88.3%)
Yes 7 (11.7%)
Nephritis No   33 (55.0%)
Yes 27 (45.0%)
Photosensitivity No 52 (86.7%)
Yes  8 (13.3%)
Vasculitis No  52 (86.7%)
Yes  8 (13.3%)
Oral ulcer No 56 (93.3%)
Yes  4 (6.7%)

Table 3. The clinical manifestations of the studied patients during the course of the disease.

Patients were divided into 2 groups: 30 patients in activity and 30 patients not in activity according to SLEDAI.

Regarding steroid therapy, 52 patients were receiving steroids, 34 patients (65.4%) were on high dose steroids while 18 patients(34.6%) were on low dose steroids (0.25-1 mg /kg).

CDI score revealed no depression in 27 patients (45%), mild depression in 12 patients (20%),moderate depression in 11 patients (18.3%) and severe depression in 10 patients.

There was no statistically significant relation difference found between active group and inactive group regarding age (10.9 ± 1.4 vs 11.07 ± 1.2 with p-value = 0.622). Also, there was no statistically significant difference found between active group and inactive group regarding sex of the studied patients with p-value = 0.317 (Table 4).

Laboratory findings at the studied group Total no. = 60
Hb Normal 47 (78.3%)
Anemia 13 (21.7%)
Hb Mean ± SD 11.63 ± 1.99
Range 5.5 - 14.4
TLC Normal 45 (75.0%)
Neutrophilia 2 (3.3%)
Leukopenia 13 (21.7%)
TLC Mean ± SD 6.70 ± 2.49
Range 2.2 - 17.2
PLTs Normal 53 (88.3%)
Thrombocytosis 2 (3.3%)
Thrombocytopen ia 5 (8.3%)
PLTs Mean ± SD 272.67 ± 100.72
Range 23 -615
C3 Normal 28  (46.7%)
Consumed 32 (53.3%)
C4 Normal 30 (50.0%)
Consumed 30 (50.0%)
ESR Normal 19 (31.7%)
Elevated 41 (68.3%)
CRP Negative 51  (85.0%)
Positive 9 (15.0%)

Table 4. The laboratory investigations of the studied patients.

No statistically significant relation was found between activity of the studied patients and Clinical manifestations at the onset of the disease except hair loss, serositis and vasculitis were found significantly associated with activity among the studied patients with p value = 0.001, 0.038 and 0.038 respectively (Table 5).

Laboratory findings in the studied group Total no. = 60
LFTs Normal 52 (86.7%)
Elevated 8 (13.3%)
KFTs Normal 52 (86.7%)
Elevated 8 (13.3%)
Urine analysis Free 34 (56.7%)
Affected 26 (43.3%)
Urine analysis finding Free 34 (56.7%)
Proteinuria 6 (10.0%)
Pyuria 10 (16.7%)
Casts 2 (3.3%)
Hematuria 1 (1.7%)
UTI 1 (1.7%)
Ca oxalates +++ 1 (1.7%)
Proteinuria, pyuria 3 (5.0%)
Pyuria, casts 1 (1.7%)
Pus cells over I 00, protei nuria 1 (1.7%)
ANA Negative 15 (25.0%)
Positive 45 (75.0%)
Anti ds DNA Negative 21 (35.0%)
Positive 39 (65.0%)

Table 5. The laboratory investigations of the studied patients.

No statistically significant relation was found between activity of the studied patients and clinical manifestations during the course of the disease except hair loss was found significantly associated with activity among the studied patients with p-value = 0.001 (Figure 1).

clinical-rheumatology-relation

Figure 1. Significant relation of the studied patients and clinical manifestations during the course of the disease.

There was no statistically significant relation between activity of the studied patients and medications used in treatment of SLE except steroids and the dose of steroids used, which were found to be significantly associated with activity among the studied patients with p-value = 0.001, 0.003 respectively.

Table 6 shows a statistically significant difference between the SLEDAI score in both groups where all patients in disease activity had scores reflecting severe activity while patients classified not in activity had scores reflecting no or mild activity (p value 0.000).

    Inactive group Active group Test value P-value Sig.
No. = 30 No. = 30
Age (years) Mean ± SD 10.90 ± 1.40 11.07 ± 1.20 -0.495• 0.622 NS
Range 08-12 08-12
Sex Female 23 (76.7%) 26 (86.7%) 1.002* 0.317 NS
Male 7 (23.3%) 4 (13.3%)

Table 6. Statistically significant relation difference found between active group and inactive group regarding age (10.9 ± 1.4 vs 11.07 ± 1.2 with p-value = 0.622).

It also shows that the active group showed more depression than the inactive group as shown by the statistically significant difference between the mean CDI scores of both groups (p value=0.006). The severity of depression was strongly related to the disease activity, as (33.3) % of the active group showed severe depression while none of the inactive group was severely depressed with a statistically significant difference between both groups By logistic regression shown in Table 7 there was highly statistically significant association between activity of the studied cases and the hair loss at the onset and during the course of the disease. Anemia, consumption in C3 & C4 and elevation in ESR, LFTs, KFTs also shows a strong relation with activity plus affection in the urine analysis and sensitivity of ANA. Degree of depression and the CDI score more than 18 shows strong association with activity (Tables 8 and 9).

Clinical manifestations at the onset of the disease Inactive group Active group Test value P-value Sig.
No. = 30 No. = 30
Rash No 13 (43.3%) 16 (53.3%) 0.601 0.438 NS
Yes 17 (56.7%) 14 (46.7%)
Arthralgia No 7 (23.3%) 5 (16.7%) 0.417 0.519 NS
Yes 23 (76.7%) 25 (83.3%)
Fever         No 14 (46. 7%) 17 (56.7%) 0.601 0.438 NS
Yes 16 (53.3%) 13 (43.3%)
Hair loss No 29 (96.7%) 19 (63.3%) 10.417 0.001 HS
Yes 1  (3.3%) 11 (36.7%)
Seizures No 27 (90.0%) 25 (83.3%) 0.577 0.448 NS
Yes 3 (10.0%) 5 (16.7%)
Serositis No 26 (86.7%) 30 (100.0%) 4.286 0.038 S
Yes 4 (13.3%) 0 (0.0%)
Nephritis No 22 (73.3%) 18 (60.0%) 1.2 0.273 NS
Yes 8 (26.7%) 12 (40.0%)
Photosensitivity No 27 (90.0%) 29 (96.7%) 1.071 0.301 NS
Yes 3 (10.0%) 1 (3.3%)
Vasculitis No 26 (86. 7%) 30 (100.0%) 4.286 0.038 S
Yes 4 (13.3%) 0 (0.0%)
Oral ulcer No 29 (96.7%) 27 (90.0%) 1.071 0.301 NS
Yes 1 (3.3%) 3 (10.0%)

Table 7. Significant relation between activity of the studied patients and Clinical manifestations at the onset of the disease.

    Inactive group Active group Test value P-value Sig.
 No. = 30 No. = 30
SLEDAl score No activity 27 (90.0%) 0 (0.0%) 60.000* 0 HS
Mild 3 (10.0%) 0 (0.0%)
Severe 0 (0.0%) 30 (100.0%)
CDI score Mean ± SD 15.97 ± 5.80 21.63 ± 9.19  -2.856• 0.006 HS
Range 10-29 9-34
Degree of depression None 16 (53.3%) 11 (36.7%) 12.350* 0.006 HS
Mild 8 (26.7%) 4 (13.3%)
Moderate 6 (20.0%) 5 (16.7%)
Severe 0 (0.0%) 10 (33.3%)

Table 8. Statistically significant difference between the mean CDI scores of both groups (p value=0.006).

  B  S.E.  Wald P-value Odds ratio 95% C.l. for OR
(OR) Lower Upper
Hair loss at onset of the disease 2.821 J.085 6.754 0.009 16.789 2.001 140.898
Hair loss at the course of the disease 1.859 0.574 10.497 0.001 6.417 2.084 19.755
Hb (anemia) 2.093 0.824 6.446 0.011 8.105 1.612 40.766
C3 3.807 0.781 23.741 0 45 9.732 208.077
C4 4.394 0.861 26.07 0 81 14.993 437.605
ESR 3.773 J.083 12. 131 0 43.5 5.205 363.522
LITs 2.178 1.105 3.885 0.049 8.826 1.012 76.96
KFTs 2.178 1.105 3.885 0.049 8.826 1.012 76.96
Urine analysis 2.079 0.599 12.067 0.001 8 2.475 25.86
ANA 1.792 0.714 6.304 0.012 6 1.482 24.299
Anti ds DN A 2.603 0.714 13.302 0 13.5 3.333 54.673
CDI score > 18 1.458 0.568 6.599 0.01 4.297 1.413 13.068
Degree of depression 0.67 0.257 6.81 0.009 1.955 1.182 3.235

Table 9. Significant association between activity of the studied cases and the hair loss at the onset and during the course of the disease.

Discussion

The current study showed that, there was no statistically significant relation difference found between active group and inactive group regarding age (10.9 ± 1.4 vs 11.07 ± 1.2 with p-value = 0.622) and regarding the sex of the studied patients with p-value = 0.317. Similarly in study, activity was measured by the SLEDAI. At the time of diagnosis, there was a trend, but not a statistically significant difference, between both gender in the signs of disease activity although the males had less arthritis, alopecia, anti-Ro antibody, less Raynaud‘s, and more discoid lesions and thrombocytopenia [13]. While in contrast, de Carvalho et al. [14], found male patients had higher activity scores.

The current study showed that, there was no significant difference between the active and inactive group in clinical manifestations at the onset of the disease except hair loss, serositis and vasculitis were found to be significantly associated with activity among the studied patients with p-value = 0.001, 0.038 and 0.038 respectively. At the course of the disease, there was no significant difference between the active and inactive group in clinical manifestations during the course of disease except hair loss which was significantly associated with activity among the studied patients with p-value = 0.001. In agreement with us Bouaziz et al. [15], found the presence of vasculitic lesions to be strongly related to systemic disease activity. Also, in harmony with our results, Callen and Kingman reported a link between cutaneous vasculitis and the progression of disease [16]. On the other hand, Nazri et al., found oral ulcers (p=0.010) and malar rash (p=0.044) to be positively associated with an active disease [17]. Our results were against the Houman et al., finding as they found the SLEDAI score for activity at SLE diagnosis was significantly higher in patients with lupus nephritis [18].

The current study showed that, there was no significant difference between the active and inactive group in medications used in treatment of SLE except steroids uses and the dose of steroids which were found to be significantly associated with activity among the studied patients with p-value = 0.001& 0.033 respectively. In agreement with us Alsowaida et al., found no relation between medication non-adherence and disease activity [19]. This finding was also supported by the study conducted by Petri et al. [20], as none of the baseline medications evaluated, including corticosteroids, immunosuppressives (individually and as a group), antimalarials, and other concomitant medications, predicted flare on any index but their results was against us regarding steroid uses.

However, Zakeri et al. [21], did not find an association between depression and duration of steroid therapy.

The current study showed that, there was a statistically significant difference between the active and inactive group in the following laboratory findings: HB level (incidence of anemia), TLC count (Leukopenia), Consumption of C3and C4, ESR and CRP levels and urine profile with P value= 0.005, 0.00, 0.004, 0.00, 0.00, 0.00 &0.001respectively. In harmony with us, for immunological parameters, the study by Nazri et al. [17] showed elevated ESR (p=0.006), low C3 levels (p=0.008), were positively associated with SLEDAI scores. However, in our study, low C4 did not exhibit any association with disease activity, this suggests that C4 might be a less sensitive parameter of disease activity in SLE patients.

And in line with us, Fernando and Isenberg, reported that, as with rising antibodies to dsDNA, falling levels of C3 and C4 may herald a lupus flare in patients with previously documented concordance. [22]. In addition, Morrow et al. [23], concluded that, it was preferred to use complement breakdown products such as C3d or C4d, which increase when the disease is active. Also, other investigators reported no consistent association between anti-dsDNA positivity or low complement levels and risk of flare [24-27].

The current study showed that, there was statistically significant difference between the active and inactive group in laboratory findings as LFTs, KFTs, urine analysis affection, findings in urine analysis, ANA and Anti double strands DNA with P value = 0.023,0.023,0.000,0.008,0.007,0.000respectively. This was consistent with a previous study conducted by [28].

The current study showed that, there was statistically significant difference between the active and inactive group in the Systemic Lupus Erythematosus Disease Activity Index (SLEDAI) score. Similarly, according to the study conducted by Alsowaida et al. [19] found the SLEDAI scores showed that 31 patients (22%) had mild-to- moderate disease activity, whereas 37 patients (24%) had severe disease activity. Also, according to the study by Houman et al. [18], The average of the SLEDAI at the time of diagnosis was 15.5 (range, 3 – 47); and after six and 12 months of treatment, it decreased respectively to 4.3 (range, 0 – 25) and 3.7 (range, 0 – 20).

In the current study, depression showed a strong relation with disease activity as 53.3 % of the inactive group showed no depression and 63.3 % of the active group suffered depression with p-value = 0.006. This finding supports our hypothesis that depression is related to SLE activity. One possible explanation for this finding is that some patients with SLE in our study may have become depressed as a result of the physical and psychological distress due to the increased SLE activity. However, an appealing interpretation for our finding is that depression can be an isolated manifestation of CNS pathology caused by the disease activity. Cerebral involvement in SLE is still poorly understood, but it is recognized to occur in patients with active disease even without overt neuropsychiatric manifestations [29].

In the current study, the degree of depression was strongly correlated to the extent of disease activity, which was concordant with the results of the study by Alsowaida et al., where patients with minimal or mild depressive symptoms (n = 114) had an average SLEDAI score of 5.16 SD, whereas patients with moderate or severe symptoms (n = 26) had an average SLEDAI score of 9.96 SD. A strong correlation between disease activity and severity of depressed mood was found (r = 0.31, p = 0.003) [19]. This finding was supported by a study by Zakeri et al. [21], which also used SLEDAI score to assess the degree of disease activity, where 43.6% of mild-type SLE patients did not suffer from depression, 51.3% had mild depression, and 5.1% had moderate depression. On the other hand, all patients with severe form of SLE achieved scores indicating depression; 42.9% reached mild depression and 57.1% reached moderate depression (P = 0.0001).

Similar findings were reported by Julian et al. and Olivera et al. [30,31] they found that the presence of depressive symptoms was strongly associated with non-adherence to therapy which precipitated the activity. In contrast, the two studies reported by Shortall et al. and Van Exel et al. found no relation between disease activity and depression [32,33]. Our finding would corroborate the assumption that depression in SLE depends on disease severity–related stress. However, it cannot be excluded that shared pathophysiological mechanisms between SLE and depression play an additional role.

Although a study conducted by Figueiredo-Braga et al. [34], had indicated that disease activity correlates with depression, it reported that there may be confounding factors that mask the effects. These could include such things as depressive symptoms lagging behind inflammatory indicators, socioeconomic factors masking or exacerbating depression, or personal psychological variables such as cognition, helplessness, or resilience that interfere with a straightforward analysis.

There are conflicting data whether active disease increases the vulnerability to depression. Miguel et al. and Utset et al [35,36]. have shown an association with active neuropsychiatric lupus but found no relations between serology and other manifestations of active disease.

Conclusion

Children with SLE in active disease have a greater risk of developing depression than those with inactive disease and the severity of depression is positively correlated with disease activity. The findings from this study confirm the importance of identifying and managing depression in SLE. The data indicate that depression may exacerbate lupus disease activity and suggest that effective treatment of depression may lead to improvements in lupus disease outcomes. Recognition of these associations may provide more appropriate management for these patients and also may bring new insights to the understanding of the underlying mechanism involved in this important clinical presentation of SLE.

Conflict of interest

None

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