Abstract
Objectives:
To describe primary Sjögren’s syndrome (pSS) cohort in Saudi Arabiain view in of clinical/serological/histopathological phentotype, and, diagnostic delay.
Methods:
A cross-sectional study conducted between October 2018 and May 2019. Diagnostic delay was calculated from symptoms onset to clinical diagnosis. The European League Against Rheumatism (EULAR) Sjögren’s Syndrome Disease Activity Index (ESSDAI) and EULAR Sjogren’s Syndrome Patient Reported Index (ESSPRI) were calculated.
Results:
Forty-one patients were included in the study. There were predominantly females (78%) with a mean (±SD) age of 58.76±12.7 and disease duration of 4.6±2.28 years. The mean diagnostic delay was 2.2±2.4 (range 1-11) years. Minor salivary gland biopsy was performed on 38 (92.7%) patients with a mean focus score of 2.3± 1.2 points. Interstitial lung disease and arthritis were the most common extra-glandular manifestations (EGM) affecting 27 (65.9%) patients for both. The mean ESSDAI was 9.95±7.73 and ESSPRI was 5.17±2.4.
Conclusion:
Saudi primary Sjogren’s syndrome patients have a high prevalence of EGM predominantly arthritis and ILD. The diagnostic delay is variable in our cohort.
Keywords: Sjögren’s syndrome, disease phenotype, diagnosis, Saudi, primary
Sjögren’s syndrome is a chronic autoimmune disease characterized by impaired functioning of the exocrine glands due to lymphocytic infiltration and damage.1 Primary Sjögren’s syndrome (pSS) is diagnosed in the absence of other connective tissue disease whereas secondary Sjögren’s syndrome is diagnosed in patients with an underlying connective tissue disorder. Primary Sjögren’s syndrome has been associated with a spectrum of extra-glandular manifestations, including inflammatory arthritis, Raynaud’s phenomenon, cutaneous vasculitis, interstitial lung disease, interstitial nephritis, peripheral/central nervous system lesions and cytopenia.1-3 These systemic manifestations occur in a majority of patients and may cause significant organ damage, leading to increased morbidity and mortality.4,5 Ethnicity influences pSS phenotype as shown by the Big Data Sjögren Project Consortium an international multicenter registry that includes 20 centers from 5 continents.6 Brito-Zeron et al7 reported significant phenotypic differences between ethnic groups. Hispanic and Caucasian individuals had a higher frequency of dryness symptoms and abnormal salivary gland biopsy findings. The age of diagnosis was 7 years earlier in Black/African Americans than in Caucasians. Disease activity and the predominance or frequency of extra-glandular manifestations were significantly influenced by ethnic background. Differences were also seen in the autoantibody profile.7 There was a small representation of Arab ethnicity via patients recruited from Egypt.6 No study has evaluated pSS in the Arabian Gulf region in terms of diagnostic delay, disease characteristics, serological and histopathological findings. The aim of this study was to describe the first pSS cohort in Saudi Arabia and the Arabian Gulf region in view of clinical/serological features and their eligibility into clinical trials.
Methods
This single-center, cross-sectional study describes the clinical stage of a comprehensive research project to elucidate the clinical characteristics, cytokine profile, and genetic profile of patients with pSS in Saudi Arabia from October 2018 and May 2019. The study participants were recruited from patients with pSS attending the rheumatology and pulmonary clinics at King Saud University, Riyahd, Saudi Arabia. Patients aged ≥18 years with a diagnosis of pSS based on the American College of Rheumatology/EULAR classification criteria8 were invited to participate in the study. All patients were of Arab ethnicity.
The exclusion criteria included a confirmed diagnosis of malignancy, a major psychiatric disorder, and presence of end organ failure. The clinical characteristics, medications, laboratory investigations, and autoimmune profile were collected from patients’ charts. Patients with grouped as patients identified in the ILD and rheumatology clinics. Diagnostic delay was calculated by patient interview and their recall of the onset of symptoms and date of diagnosis. A patient global assessment, a physician global assessment, and the clinical components of the ESSPRI were completed during clinic visits. The ESSPRI components were calculated individually and as a single factor composed of the mean of the 3 components (pain, fatigue, and dryness).9-11 Data on fatigue were already published in another report.12
The ESSDAI was calculated based on the score for 12 domains.9-11 The number of foci were calculated from minor salivary gland biopsies when available.
Convenience sampling of consecutive patients was used to reduce selection bias. The work is reported in accordance with the STROBE guidelines.13
The study was approved by the Institutional Research Board (IRB) at the College of Medicine, King Saud University (E-18-3206) and the IRB at Princess Nourah bint Abdulrahman University (19-0100). All procedures were performed in compliance with ethical standards and according to the Declaration of Helsinki. All patients signed an informed consent form prior to study enrolment.
Statistical analysis
The demographics and disease characteristics are summarized as descriptive statistics. The data were computed for discrete variables, including minimum and maximum values, means, standard deviations, proportions, and frequencies as appropriate. Parametric and non-parametric tests were used to compare disease subgroups based on the type of variable analyzed. All statistical analyses were performed using Statistical Package for Social Sciences software version 18.0 (IBM Corp., Armonk, NY, USA).
Results
Forty-one patients who fulfilled the study criteria between October 2018 and May 2019 were included in the final analysis. The patients were predominantly female (n=32, 78%) with a mean age (and standard deviation) of 58.76±12.7 years and a disease duration of 4.6±2.28 years. The mean diagnostic delay was 2.2±2.4 (range 1-11) years. Patient identified in the pulmonary clinic had older age at diagnosis (46.9±10.9 versus 59±12.9; p<0.001) but shorter disease duration (6±2.5 versus 3.9±1.8; p=0.003). The mean ESSDAI scores were 9.95±7.73 and ESSPRI 5.17±2.4. Seven patients had ESSDAI and 3 had ESSPRI scores of 0. The main driver of ESSDAI score was pulmonary involvement. The mean respective patient global assessment scores were 5.2±2.37 and physician global assessment 4.46±2.06.
Anti-nuclear antibody was positive in 32 (78%), rheumatoid factor in 10 (24.4%), Sjogren’s syndrome A antibody (SSA) 19 (46.3%), and Sjogren’s syndrome B antibody (SSB) in 12 patients (29.3%). Patients identified in the rheumatology clinic had a higher risk to have a positive SSA (86% versus 26%; p<0.001). All patients identified in the pulmonary clinic had extra-glandular manifestations (EGM) in the form of ILD with or without pulmonary hypertension compared to 64% in patients identified in the rheumatology clinic (p=0.001) (Table 1). Serum cryoglobulins were not routinely assessed at baseline. A master table of all cases is illustrated in Table 2.
Table 1.
Demographics | n=41 | Rheumatology clinic | Pulmonary clinic | P-value |
---|---|---|---|---|
Female gender (%) | 32 (78) | 13 (93) | 19 (70) | 0.099 |
Age at diagnosis (years) | 54.8 ± 13.4 | 46.9 ± 10.9 | 59±12.9 | <0.001 |
Age at study inclusion (years) | 58.76 ± 12.7 | 52.9 ± 11.9 | 61.8 ± 12.2 | 0.003 |
Disease duration (years) | 4.6 ± 2.3 | 6 ± 2.5 | 3.9 ± 1.8 | 0.003 |
Time from symptom onset to diagnosis (years) | ||||
Mean | 2.2 ± 2.4 | |||
Range | 1-11 | |||
Outcome measures | ||||
Mean EULAR Sjogren’s Syndrome Disease Activity Index | 9.95 ± 7.73 | 6.43 ± 9.41 | 11.78±6.13 | 0.100 |
Mean EULAR Sjogren’s Syndrome Patient Reported Outcome | 5.17 ± 2.4 | 5.095 ± 2.700 | 5.205±2.239 | 0.386 |
Mean Patient Global Assessment | 5.2 ± 2.37 | 4.786 ± 2.723 | 5.423±2.176 | 0.864 |
Mean Physician Global Assessment | 4.46 ± 2.06 | 3.786 ± 2.455 | 4.815±1.777 | 0.879 |
Antibody profile; n (%) | ||||
ANA | 32 (78.0) | 13 (93) | 19 (70) | 0.099 |
Anti-SSA | 19 (46.3) | 12 (86) | 7 (26) | <0.001 |
Anti-SSB | 12 (29.3) | 9 (64) | 3 (11) | <0.001 |
Rheumatoid factor | 10 (24.4) | 11 (79) | 8 (30) | 0.168 |
Presence of extra-glandular manifestations | 36 (87.8) | 9 (64) | 27 (100) | 0.001 |
EULAR: The European League Against Rheumatism, SSA: Sjogren’s syndrome A antibody,SSB: Sjogren’s syndrome B antibody,
Table 2.
Age | Age at disease onset | Gender | ANA | SSA | SSB | RF | Lip biopsy | Pulmo-nary | Renal | Cuta-neous | Arthritis | PNS | Cyto-penia | CNS | PGA | PhGA | ESSDAI | ESSPRI for dryness | ESSPRI for fatigue | ESSPRI for pain | ESSPRI |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
18 | 16 | Female | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | 0 | 6 | 8 | 3 | 5.7 |
34 | 29 | Female | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 2 | 7 | 1 | 0 | 1 | 0.7 |
39 | 32 | Female | 1 | 1 | 1 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 5 | 12 | 8 | 7 | 5 | 6.7 |
43 | 37 | Female | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 3 | 7 | 5 | 5 | 5 | 5 |
43 | 40 | Female | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 5 | 17 | 5 | 5 | 7 | 5.7 |
45 | 38 | Female | 1 | 1 | 1 | 3 | 3 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 2 | 2 | 14 | 9 | 3 | 0 | 4 |
49 | 42 | Male | 1 | 1 | 1 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 0 | 3 | 3 | 2 | 2.7 |
50 | 46 | Female | 1 | 1 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 7 | 0 | 10 | 10 | 10 | 10 |
50 | 47 | Female | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 12 | 5 | 1 | 1 | 2.3 |
52 | 48 | Female | 1 | 1 | 1 | 1 | 3 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 2 | 20 | 0 | 1 | 2 | 1 |
53 | 47 | Female | 1 | 1 | 0 | 0 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 6 | 0 | 8 | 2 | 5 | 5 |
53 | 48 | Female | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 2 | 0 | 5 | 7 | 0 | 4 |
54 | 45 | Female | 1 | 1 | 1 | 1 | 3 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 4 | 1 | 2 | 6 | 4 | 0 | 3.3 |
54 | 46 | Female | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 7 | 19 | 8 | 7 | 10 | 8.3 |
55 | 48 | Female | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | 10 | 2 | 5 | 1 | 2.7 |
55 | 50 | Female | 1 | 1 | 1 | 0 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 7 | 2 | 7 | 10 | 8 | 8.3 |
57 | 53 | Female | 0 | 1 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 0 | 4 | 10 | 9 | 7.7 |
57 | 53 | Female | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 8 | 12 | 5 | 8 | 7 | 6.7 |
58 | 57 | Female | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 5 | 9 | 8 | 5 | 8 | 7 |
58 | 56 | Female | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 7 | 5 | 7 | 5 | 5.7 |
60 | 55 | Female | 1 | 1 | 1 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 9 | 1 | 3 | 4.3 |
60 | 50 | Female | 1 | 1 | 1 | 1 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 4 | 27 | 4 | 6 | 5 | 5 |
61 | 58 | Female | 1 | 1 | 0 | 0 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 10 | 6 | 8 | 9 | 7.7 |
61 | 59 | Female | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 5 | 5 | 20 | 5 | 5 | 5 | 5 |
61 | 57 | Female | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 7 | 5 | 3 | 5 | 4.3 |
63 | 59 | Female | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 9 | 6 | 34 | 10 | 8 | 8 | 8.7 |
64 | 61 | Female | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 10 | 5 | 9 | 9 | 7.7 |
65 | 54 | Female | 1 | 1 | 1 | 0 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 | 2 | 6 | 5 | 0 | 0 | 1.7 |
66 | 65 | Male | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 10 | 7 | 7 | 6 | 10 | 10 | 8.7 |
67 | 64 | Male | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 3 | 12 | 6 | 5 | 2 | 4.3 |
69 | 64 | Female | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 9 | 7 | 19 | 9 | 7 | 10 | 8.7 |
69 | 66 | Male | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 7 | 7 | 4 | 7 | 2 | 4.3 |
70 | 66 | Male | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 3 | 18 | 0 | 5 | 5 | 3.3 |
71 | 67 | Male | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 7 | 2 | 0 | 0 | 0.7 |
71 | 68 | Male | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 3 | 12 | 2 | 4 | 3 | 3 |
71 | 70 | Male | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 7 | 14 | 5 | 6 | 6 | 5.7 |
73 | 70 | Male | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 5 | 7 | 5 | 6 | 5 | 5.3 |
75 | 73 | Female | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 7 | 6 | 6 | 3 | 5 |
75 | 74 | Female | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 5 | 7 | 5 | 7 | 9 | 7 |
77 | 73 | Female | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 5 | 18 | 2 | 3 | 3 | 3.2 | |
83 | 79 | Female | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 9 | 6 | 9 | 0 | 5 | 7 | 4 |
ANA: antinuclear antibody, SSA: Sjogren’s syndrome A antibody, SSB: Sjogren’s syndrome B antibody, RF: rheumatoid factor, PNS: peripheral nervous system, CNS: central nervous system, PGA: patient global assessment, PhGA: physician global assessment, ESSDAI: EULAR Sjogren’s syndrome disease activity score, ESSPRI: EULAR Sjogren’s syndrome patient reported index
Minor salivary gland biopsy was performed in 38 (92.7%) patients, with one biopsy being inconclusive and positive findings in 24 patients (63.2%). The mean focus score was 2.3±1.2 (Figure 1).
Sicca was the presenting symptom in 35 patients (85.4%). Thirty-six (87.8%) had one or more extra-glandular manifestations. Pulmonary and articular involvement were the most common extra-glandular manifestations, with each affecting 27 (65.9%) patients, followed by pulmonary hypertension, hematological, cutaneous, and peripheral nervous system involvement, renal dysfunction, thrombotic events, and central nervous system involvement (Figure 2). No patient had cryoglobulinemic vasculitis. No patient had developed lymphoma or any other type of malignancy at the most recent follow-up.
Discussion
The current study evaluates the clinical, serological and histopathological characteristics of patients with pSS in Saudi Arabia and the Middle East. We also have shown that patients identified by the pulmonologist in the Interstitial Lung Disease (ILD) clinic have different manifestation profile and background treatment, but no significant difference in their outcome measures.
Ethnicity plays an important role in disease phenotype of pSS in terms of patient demographics and the severity and pattern of systemic involvement, as shown in the multi-national cohort investigated by Brito-Zeron et al.7 The age at diagnosis in our patients is similar to Caucasians and older than that of Asian, Hispanic, and Black patients.14 We also observed that the rate of autoantibody positivity was similar to that in the group reported by Brito-Zeron et al and in other studies that have included ethnic minorities, including Arabs, managed by the contributing centers.15 In those studies, Black African/American patients had the highest ESSDAI scores, followed by Whites, Hispanics, and Asians, with scores ranging between 4.8 and 6.7. In our study, the mean ESSDAI was slightly higher than reported for other ethnicities. This could be explained by the high prevalence of ILD in our patients that requires confirmation in a larger more representative population. Moreover, Black/African American patients had more lymphadenopathy and articular and peripheral nervous system manifestations, whereas Caucasians had more glandular, cutaneous, and muscle tissue manifestations, Asians had more pulmonary, renal, and hematological domain involvement, and Hispanics had more constitutional domain involvement. By contrast, our Saudi patient population had more pulmonary, articular, hematological, and peripheral/central nervous system involvement, which represents a new pattern that needs to be confirmed by a larger nationwide study. Our center has reported that phenotypic characteristics of Saudi/Arab patients are different than Caucasians with lupus16,17 or spondyloarthritis.18
Despite being one of the most important challenges, diagnostic delay has not been well explored in pSS. The main factors contributing to this delay include non-specific presenting symptoms, lack of sicca symptoms, and low sensitivity of autoantibodies.19 In a nationwide US survey, Segal et al20 described self-reported diagnostic delay in patients with confirmed pSS and US members of the Sjögren’s Syndrome Foundation. The average diagnostic delay was 7.1±9.4 years in 277 patients.20 One Ukrainian study evaluated diagnostic delay in 24 patients with pSS or secondary Sjögren’s syndrome and reported a significant delay of 8.5 (range 2.8-17) years, with pSS presenting at an older age.21 The diagnostic delay in our cohort was variable, reaching 11 years in one patient; however, the mean delay was shorter than what has been reported, barely exceeding 2 years. This could be explained by 2 factors. The first is early referral to both the scleroderma spectrum disease and ILD specialized clinics. The second is rapid access to minor salivary gland biopsy within 2 weeks of referral by the oral medicine department. Measures that can facilitate early diagnosis should be a priority and can be implemented by specialties that receive patients with a suspected diagnosis of pSS, including family medicine, ophthalmologists, dentists, neurologists, and pulmonologists. The limitations of autoantibody screening should trigger use of more invasive procedures, such as minor salivary gland biopsy or measurement of salivary flow rate. Early diagnosis will help to prevent not only long-term local and systemic complications but also the psychological impact of the manifestations of pSS.22
Study limitations
Its small sample size, some recall bias with regard to the onset of symptoms reported by the patients, and a degree of selection bias stemming from the fact that ours is the largest center in the country receiving patients with interstitial lung disease and pulmonary hypertension. Despite its serological and clinical importance, we did not include the cryoglobulin level because it was not measured in most of the patients at the time of diagnosis and can be affected by treatment with immunosuppressive therapies.
In conclusion, this is the first report on the clinical and serological characteristics of pSS in Saudi Arabia and the Arabian Gulf region. There was a diagnostic delay of variable duration in our study participants. A national Saudi registry for pSS needs to be established in order to better understand the disease phenotype, the response to treatment, and the prognosis.
Acknowledgment
The authors would like to thank Hindawi Editing services.
Footnotes
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