Disentangling the riddle of systemic lupus erythematosus with antiphospholipid syndrome: blood transcriptome analysis reveals a less-pronounced IFN-signature and distinct molecular profiles in venous versus arterial events

INTRODUCTION

Systemic lupus erythematosus with antiphospholipid syndrome (SLE-APS) represents a challenging SLE endotype whose molecular basis remains unknown.

METHODS

We analysed whole-blood RNA-sequencing data from 299 patients with SLE (108 SLE-antiphospholipid antibodies (aPL)-positive, including 67 SLE-APS; 191 SLE-aPL-negative) and 72 matched healthy controls (HC). Pathway enrichment analysis, unsupervised weighted gene coexpression network analysis and machine learning were applied to distinguish disease endotypes.

RESULTS

Patients with SLE-APS demonstrated upregulated type I and II interferon (IFN) pathways compared with HC. Using a 100-gene random forests model, we achieved a cross-validated accuracy of 75.6% in distinguishing these two states. Additionally, the comparison between SLE-APS and SLE-aPL-negative revealed 227 differentially expressed genes, indicating downregulation of IFN-α and IFN-γ signatures, coupled with dysregulation of the complement cascade, B-cell activation and neutrophil degranulation. Unsupervised analysis of SLE transcriptome identified 21 gene modules, with SLE-APS strongly linked to upregulation of the 'neutrophilic/myeloid' module. Within SLE-APS, venous thromboses positively correlated with 'neutrophilic/myeloid' and 'B cell' modules, while arterial thromboses were associated with dysregulation of 'DNA damage response (DDR)' and 'metabolism' modules. Anticardiolipin and anti-β2GPI positivity-irrespective of APS status-were associated with the 'neutrophilic/myeloid' and 'protein-binding' module, respectively.

CONCLUSIONS

There is a hierarchical upregulation and-likely-dependence on IFN in SLE with the highest IFN signature observed in SLE-aPL-negative patients. Venous thrombotic events are associated with neutrophils and B cells while arterial events with DDR and impaired metabolism. This may account for their differential requirements for anticoagulation and provide rationale for the potential use of mTOR inhibitors such as sirolimus and the direct fIIa inhibitor dabigatran in SLE-APS.

Recurrent Scedosporium apiospermum Cutaneous Infection in a Patient with Rheumatoid Arthritis: The Potent Role of IL-6 Signaling Pathway Blockade: A Case-Based Review

Rheumatoid arthritis (RA) patients deal with a higher risk of bacterial and fungal infections compared to the general population because of their dysregulated immune system as well as the immunosuppressive therapy they usually receive. Scedosporium spp. is a fungal pathogen responsible for cutaneous, lung, central nervous system, and eye infections, mostly in immunocompromised patients, leading to death in disseminated cases. We report the case of an 81-year-old woman with rheumatoid arthritis treated with steroids and an IL-6 inhibitor who was diagnosed with scedosporiosis of the upper limb. She was treated with voriconazole for one month, which was discontinued due to adverse events, and when scedosporiosis relapsed, she switched to itraconazole. We also reviewed the current literature on RA patients presenting with Scedosporium infections. Early and accurate diagnosis of scedosporiosis has therapeutic and prognostic implications, as traditionally this fungus is resistant to commonly used antifungals. Clinical alertness regarding uncommon infections, including fungal, in patients with autoimmune diseases on immunomodulatory agents is essential for effective treatment.

The genomic landscape of ANCA-associated vasculitis: Distinct transcriptional signatures, molecular endotypes and comparison with systemic lupus erythematosus

Introduction

Anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitides (AAVs) present with a complex phenotype and are associated with high mortality and multi-organ involvement. We sought to define the transcriptional landscape and molecular endotypes of AAVs and compare it to systemic lupus erythematosus (SLE).

Methods

We performed whole blood mRNA sequencing from 30 patients with AAV (granulomatosis with polyangiitis/GPA and microscopic polyangiitis/MPA) combined with functional enrichment and network analysis for aberrant pathways. Key genes and pathways were validated in an independent cohort of 18 AAV patients. Co-expression network and hierarchical clustering analysis, identified molecular endotypes. Multi-level transcriptional overlap analysis to SLE was based on our published data from 142 patients.

Results

We report here that “Pan-vasculitis” signature contained 1,982 differentially expressed genes, enriched in leukocyte differentiation, cytokine signaling, type I and type II IFN signaling and aberrant B-T cell immunity. Active disease was characterized by signatures linked to cell cycle checkpoints and metabolism pathways, whereas ANCA-positive patients exhibited a humoral immunity transcriptional fingerprint. Differential expression analysis of GPA and MPA yielded an IFN-g pathway (in addition to a type I IFN) in the former and aberrant expression of genes related to autophagy and mRNA splicing in the latter. Unsupervised molecular taxonomy analysis revealed four endotypes with neutrophil degranulation, aberrant metabolism and B-cell responses as potential mechanistic drivers. Transcriptional perturbations and molecular heterogeneity were more pronounced in SLE. Molecular analysis and data-driven clustering of AAV uncovered distinct transcriptional pathways that could be exploited for targeted therapy.

Discussion

We conclude that transcriptomic analysis of AAV reveals distinct endotypes and molecular pathways that could be targeted for therapy. The AAV transcriptome is more homogenous and less fragmented compared to the SLE which may account for its superior rates of response to therapy.

Cross-species transcriptome analysis for early detection and specific therapeutic targeting of human lupus nephritis

Objectives

Patients with lupus nephritis (LN) are in urgent need for early diagnosis and therapeutic interventions targeting aberrant molecular pathways enriched in affected kidneys.

Methods

We used mRNA-sequencing in effector (spleen) and target (kidneys, brain) tissues from lupus and control mice at sequential time points, and in the blood from 367 individuals (261 systemic lupus erythematosus (SLE) patients and 106 healthy individuals). Comparative cross-tissue and cross-species analyses were performed. The human dataset was split into training and validation sets and machine learning was applied to build LN predictive models.

Results

In murine SLE, we defined a kidney-specific molecular signature, as well as a molecular signature that underlies transition from preclinical to overt disease and encompasses pathways linked to metabolism, innate immune system and neutrophil degranulation. The murine kidney transcriptome partially mirrors the blood transcriptome of patients with LN with 11 key transcription factors regulating the cross-species active LN molecular signature. Integrated protein-to-protein interaction and drug prediction analyses identified the kinases TRRAP, AKT2, CDK16 and SCYL1 as putative targets of these factors and capable of reversing the LN signature. Using murine kidney-specific genes as disease predictors and machine-learning training of the human RNA-sequencing dataset, we developed and validated a peripheral blood-based algorithm that discriminates LN patients from normal individuals (based on 18 genes) and non-LN SLE patients (based on 20 genes) with excellent sensitivity and specificity (area under the curve range from 0.80 to 0.99).

Conclusions

Machine-learning analysis of a large whole blood RNA-sequencing dataset of SLE patients using human orthologs of mouse kidney-specific genes can be used for early, non-invasive diagnosis and therapeutic targeting of LN. The kidney-specific gene predictors may facilitate prevention and early intervention trials.

POS0122 CENTRAL NERVOUS SYSTEM DEMYELINATING SYNDROMES IN SYSTEMIC LUPUS ERYTHEMATOSUS: RESULTS FROM “ATTIKON” LUPUS COHORT

Background

Central nervous system (CNS) demyelinating syndromes that occur in the context of SLE may represent a manifestation of neuropsychiatric lupus, or an overlap of SLE and multiple sclerosis (MS). The differential diagnosis between the two entities has important clinical implications, because the therapeutic management differs between the two conditions.

Objectives

To characterize CNS demyelinating syndromes in a large SLE cohort as neuropsychiatric SLE or SLE-MS overlap, using a multidisciplinary approach and existing diagnostic (MS) and classification criteria (SLE)

Methods

Patients from the “Attikon” lupus cohort (n=707) were evaluated for demyelinating syndromes. Clinical, laboratory and neuroimaging data were recorded for each patient. Following multidisciplinary evaluation and application of criteria, the demyelinating syndrome was attributed to either SLE or MS. Patients with transverse myelitis were not included in this study.

Results

We identified 26 patients with demyelinating syndromes (3.7%) with mean age at diagnosis 46.9 (SD 12.3) years and median disease duration at last follow-up 60 (IQR 52) months. Of them, 12 were diagnosed as primary SLE-demyelination (46.2%) and 14 as overlap SLE-MS (53.8%). The two groups did not differ with respect to rheumatologic and neurologic manifestations, or serologic findings (ANA, dsDNA, C3/C4, aPL, ENA). SLE patients with demyelination manifested mild extra-CNS disease mainly involving joints and skin, while severe non-CNS manifestations were rare. However, patients with SLE-demyelination were less likely to have elevated IgG index (OR 0.055 95% CI: 0.008-0.40) and positive oligoclonal bands (OR 0.09 95% CI: 0.014-0.56). SLE patients with primary demyelinating syndrome were less likely to exhibit brain lesions in the spinal cord, infratentorial, periventricular and juxtacortical regions. A single brain region was affected in 9 SLE-demyelination patients (75%), while all MS-SLE patients had multiple affected brain regions. MS-SLE overlap was associated with increased likelihood of neurologic relapses (OR 18.2, 95% CI: 1.76-188), while SLE-demyelination patients were less likely to exhibit neurological deficits (EDSS>0) at last follow-up visit (50% vs. 78.6%in SLE-MS, respectively).

Conclusion

Demyelination in the context of SLE follows a more benign course compared to a frank SLE-MS overlap. Prolongation of follow-up will ascertain whether SLE-demyelination patients evolve to MS, or this is a bona fide NPSLE syndrome.

Disclosure of Interests

None declared

Demyelinating Syndromes in Systemic Lupus Erythematosus: Data From the "Attikon" Lupus Cohort

Background

The demyelinating syndromes of the central nervous system (CNS) that occur in the context of systemic lupus erythematosus (SLE) may represent a manifestation of neuropsychiatric lupus (NPSLE) or an overlap of SLE and multiple sclerosis (MS). The differential diagnosis between the two entities has important clinical implications because the therapeutic management differs.

Objectives

To characterize CNS demyelinating syndromes in a large SLE cohort as neuropsychiatric SLE (NPSLE) or SLE-MS overlap using a multidisciplinary approach and existing diagnostic (for MS) and classification criteria (for SLE).

Methods

Patients from the "Attikon" lupus cohort (n = 707) were evaluated for demyelinating syndromes. Clinical, laboratory, and neuroimaging data were recorded for each patient. Following multidisciplinary evaluation and application of criteria, the demyelinating syndrome was attributed to either SLE or MS. Patients with transverse myelitis were not included in this study.

Results

We identified 26 patients with demyelinating syndromes (3.7%). Of them, 12 were diagnosed as primary SLE-demyelination (46.2%) and 14 as overlap SLE-MS (53.8%). The two groups did not differ with respect to rheumatologic and neurologic manifestations or autoantibodies. SLE patients with demyelination manifested mild extra-CNS disease mainly involving joints and skin, while severe non-CNS manifestations were rare. However, these patients were less likely to have elevated IgG index (OR 0.055 95% CI: 0.008-0.40) and positive oligoclonal bands (OR 0.09 95% CI: 0.014-0.56), as well as brain lesions in the spinal cord, infratentorial, periventricular, and juxtacortical regions. A single brain region was affected in 9 patients with SLE-demyelination (75%), while all patients with MS-SLE had multiple affected brain regions. MS-SLE overlap was associated with an increased likelihood of neurologic relapses (OR 18.2, 95% CI: 1.76-188), while SLE-demyelination patients were less likely to exhibit neurological deficits (EDSS >0) at the last follow-up visit (50 vs. 78.6% in SLE-MS, respectively).

Conclusions

Demyelination in the context of SLE follows a more benign course compared to a frank SLE-MS overlap. Extension of follow-up will ascertain whether patients with SLE-demyelination evolve to MS, or this is a bona fide NPSLE syndrome.

Demyelination with autoimmune features: a distinct clinical entity? Results from a longitudinal cohort

OBJECTIVE

CNS demyelinating syndromes occurring in the context of SLE may represent a manifestation of neuropsychiatric lupus, or an overlap of SLE and multiple sclerosis (MS). We evaluated prospectively patients presenting with demyelinating syndrome for clinical and serological evidence of SLE and characterized the evolution of their clinical syndrome to a defined disease.

METHODS

Patients with CNS demyelinating syndromes not fulfilling the criteria for MS were evaluated in a rheumatology unit for features of SLE and followed longitudinally (enrolment period 2016-20). Clinical, laboratory and neuroimaging data were recorded at every visit, following multidisciplinary evaluation. At end of follow-up, patients were assessed for their final neurological and rheumatological diagnosis, and classified accordingly.

RESULTS

A total of 79 patients were included in the study [91.1% female, mean (s.d.) age at first demyelinating episode 38.4 (10.3) years, median (interquartile range) observation period 39 (57) months]. At last follow-up, 38 patients (48.1%) had evolved into MS. Of the remaining patients, 7 (17.1%) had SLE, while 34 (82.9%) had features of systemic autoimmunity without fulfilling classification criteria for SLE. The most common rheumatological features of these patients were inflammatory arthritis (73.5%), acute cutaneous lupus (47.1%) and positive ANA (72.1%). Importantly, these patients were less likely to have elevated IgG index (odds ratio 0.11, 95% CI 0.04, 0.32) and positive oligoclonal bands (odds ratio 0.21, 95% CI 0.08, 0.55).

CONCLUSION

A significant number of patients with demyelination do not fulfill criteria for either MS or SLE at follow-up. These patients exhibit lupus-like autoimmune features and may represent a distinct entity, 'demyelination with autoimmune features'.

POS0764 EULAR RECOMMENDATION-BASED QUALITY INDICATORS (QIS) FOR SYSTEMIC LUPUS ERYTHEMATOSUS (SLE): ELABORATION, FINAL SET, PERFORMANCE AND INITIAL VALIDATION

Background:

Targets of therapy and quality of care are receiving increased attention in systemic lupus erythematosus (SLE).

Objectives:

To develop Quality Indicators (QIs) for the care of SLE patients based on the EULAR recommendations, and assess their performance.

Methods:

Using the published EULAR recommendations for SLE, we developed 44 candidate QIs. These were independently rated for validity and feasibility by 12 experts, analysed by a modified RAND/UCLA model and further scrutinized based on the scorings and expert opinion. (Fig.1) Adherence to the final set of QIs was tested in a cohort of 220 SLE patients combined with an assessment on its impact on disease outcomes such as flares, hospitalizations and organ damage.

Results:

The panel rated 18 QIs as valid and feasible. These involve diagnosis; disease and damage assessment; monitoring for lupus nephritis and drug toxicity; therapy and targets of therapy; fertility and pregnancy; and adjunct therapy (preventive measures for osteoporosis, vaccination, cardiovascular disease). On average, SLE patients received 54% (95%CI 52–56%) of the indicated care with adherence ranging from 41% for QIs related to monitoring to 88% for treatment-related QIs. Regarding targets of therapy, sustained remission or low disease activity were achieved in 27%, while 94% of patients received low-dose glucocorticoids, and 92% the recommended hydroxychloroquine dose. Dependent upon individual QI tested, adherence for lupus nephritis-related QIs was 88% for receiving appropriate adjunct therapy (ACE inhibitors) to 100% for being treated with the indicated immunosuppressive treatment. In contrast, adherence to QIs related to preventive measures and other adjunct therapies was moderate to low. Notably, patients who were eligible for cardiovascular risk modification, vaccination, and osteoporosis management received lower quality of care (40.5%, 47.7% and 45.5% respectively) while 91.4% had sunscreen protection. In reference to laboratory work-up and monitoring, complete laboratory work-up at diagnosis was performed in 48%, while disease activity and damage, were fully assessed only in 14.1% (in three consecutive visits) and 28.6% (annually) respectively, Similarly, reproductive health and pregnancy counselling adherence rates were modest estimated at 50% and 62% respectively. Higher adherence to the indicated care during follow-up (monitoring QIs) was associated with reduced risk for adverse outcomes during the last year of observation (OR 0.97, 95%CI 0.96-0.99). Patients who achieved sustained remission or LLDAS, exhibited fewer flares (OR=0.15, p-value<0.001) and damage accrual (OR=0.35, p-value<0.001). Of interest, patients who received low-dose of GCs or were appropriately vaccinated, had a lower risk of experiencing a flare (OR=0.23 and 0.46 respectively).

Conclusion:

A set of 18 QIs based on the EULAR recommendations for SLE was developed to be used towards improving care in SLE. Initial real-life data suggest variable degree of adherence with higher adherence resulting in reduced adverse outcomes.

References:

[1]Fanouriakis, et al., 2019 Update of the EULAR recommendations for the management of systemic lupus erythematosus. In Annals of the Rheumatic Diseases (Vol. 78, Issue 6, pp. 736–745). BMJ Publishing Group. https://doi.org/10.1136/annrheumdis-2019-215089.

[2]Nikolopoulos, D., et al., Evolving phenotype of systemic lupus erythematosus in Caucasians: low incidence of lupus nephritis, high burden of neuropsychiatric disease and increased rates of late-onset lupus in the ‘Attikon’ cohort. Lupus, 29(5), 514–522. https://doi.org/10.1177/0961203320908932.

Acknowledgements:

This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 742390)

Disclosure of Interests:

None declared

POS0759 THE JOURNEY OF PATIENTS FROM FIRST SYMPTOMS TO DIAGNOSIS OF SYSTEMIC LUPUS ERYTHEMATOSUS (SLE): AN OBSERVATIONAL STUDY

Background:

The lack of pathognomonic features poses a considerable challenge in SLE diagnosis. The time from symptom onset to diagnosis has been reported to range from two to six years1.

Objectives:

To document the initial symptoms of the disease and the time lapse until its diagnosis.

Methods:

We examined 438 patients from the “Attikon” SLE cohort2. For diagnosis, we used the classification criteria (ACR, SLICC, EULAR-ACR) or in few cases clinical diagnosis (n=32, 7.3%). Data were collected using patient interviews, in-person clinical visits and medical charts review. Initial symptoms were recorded and determined chronologically using prespecified forms with a list of typical manifestations (skin, joints, renal, nervous system, pleuropulmonary, cardiovascular, anti-phospholipid syndrome) as well as characteristic disease features (Raynaud’s phenomenon, fatigue, fever, sicca symptoms). Questions also included the time between symptom onset and initial physician visit, the time from first medical consultation until first rheumatologist assessment, the time from rheumatologist assessment to SLE definite diagnosis, the number of physicians seen before SLE diagnosis, the specialty of first physician and of diagnosing physician. Information on demographic and clinical characteristics, disease activity and disease damage, was collected both at enrolment and at last follow-up visit.

Results:

88.5% of patients were females, mean (±SD) age at diagnosis was 41.9 years ± 15.4 and disease duration was 6.7 ± 7 years. Most common systems involved were joints (94.5%), skin (73.7%), blood (39.2%) and renal (17.5%). At diagnosis, 9.8% of patients were ANA negative. The most common initial symptoms at disease onset were arthritis/arthralgia (74.4%), followed by fatigue (53.1%) and photosensitive rash (50.9%) (Table 1). Among non-criteria features, Raynaud’s phenomenon was reported by 146 patients (33.3%) prior the diagnosis. The median interval between symptoms onset and the SLE diagnosis was 16 months (IQR 5-60). SLE was diagnosed earlier in ANA-positive than -negative patients [median time 14 months (IQR 5-60) vs 36 months (IQR 10.5-84); P=0.1, t-test]. Approximately half of the patients (52.5%) were diagnosed after 12 months from disease onset with only 15.9% diagnosed within 3 months of symptoms presentation. The median lag time between onset of symptoms and the first medical consultation was 2 months (IQR 1-12). Internists were the most common first consultants (27.8%) followed by orthopedists (15.9%), dermatologists (13.6%) and rheumatologists (13.4%). The median interval between the first medical assessment and first rheumatologist evaluation was 3 months (IQR 0-11.5) while the median time from rheumatologist assessment to definite diagnosis was 0 months (IQR 0-4). SLE patients consulted an average of 3 different physicians before the definite diagnosis, which in 95.8% was established by rheumatologists.

Conclusion:

Approximately 50% of patients were diagnosed with SLE after 12 months from symptom onset with a mean time from symptoms to definite diagnosis almost 4 years. Increasing awareness of internists to SLE and avoidance of strict adherence to ANA as a requirement for diagnosis may improve early diagnosis.

Table 1.

Initial symptoms prior to diagnosis

SymptomsN=438 (%)Duration*(mean months ±SD)Arthralgias326 (74.4)37.5 ±69.4Photosensitive rash223 (50.9)30.6 ±70.2Malar rash168 (38.3)22.6 ±62Alopecia167 (38.1)19.6 ±54.6Ulcers106 (24.2)16.8 ±54.4Fever103 (23.5)9.3 ±43.8Raynaud’s phenomenon146 (33.3)22.3 ±68.5Fatigue233 (53.1)19.7 ±45.7

*Mean time from symptom onset to established diagnosis

References:

[1]Nightingale AL, Davidson JE, Molta CT et al. Lupus Science & Medicine 2017; doi:10.1136/lupus-2016-000172.

[2]D Nikolopoulos et al. Lupus 2020; doi: 10.1177/0961203320908932.

Acknowledgements:

This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 742390)

Disclosure of Interests:

None declared

POS0757 SYSTEMIC LUPUS ERYTHEMATOSUS (SLE) DIAGNOSED DURING HOSPITALIZATION: CLINICAL PHENOTYPE AND PERFORMANCE OF THE SLE RISK PROBABILITY INDEX (SLERPI)

Background:

Systemic Lupus Erythematosus (SLE) can first present with severe or critical disease leading to hospitalization. Prompt recognition of the disease in hospitalized patients may lead to early institution of treatment and improve outcomes. We have recently developed a clinician-friendly algorithm for SLE diagnosis based on classical clinical and serological SLE features [SLE Risk Probability Index (SLERPI)]1.

Objectives:

To determine the clinical phenotype of SLE patients first diagnosed during hospitalization, the interval between hospitalization and SLE diagnosis and the potential impact of SLERPI on early diagnosis.

Methods:

Mixed prospective (from June 2020 to January 2021) and retrospective study of SLE patients from “Attikon” cohort (n=820)2. Clinical phenotype was divided into 10 core domains (neuropsychiatric, thrombosis, nephritis, serosal, haematologic, pulmonary, cardiovascular, gastrointestinal, skin-joints, other). Chart review and patient interview was performed to assess the lag time between 1) the onset of symptoms and 2) the hospitalization and the final diagnosis. Demographic and clinical characteristics, SLERPI and SLICC damage index were recorded for each patient at the time of diagnosis. SLE diagnosis was based on at least one of the three existing classification criteria.

Results:

Out of 820 SLE patients, 202 (24.6%) diagnosed during hospitalization were included. Among them, 185 patients (91.5%) were hospitalized because of a lupus related feature, while in the remaining 17 SLE patients, hospitalization was due to non-lupus related manifestations. The most common lupus-related clinical phenotype leading to hospital admission was neuropsychiatric lupus (n=51, 25.2%) with cerebrovascular events constituting the dominant clinical syndrome (n=8/51). Thrombotic events (n=32, 15.8%), mainly pulmonary embolism (n=20/32), cytopenias (n=32, 15.8%), lupus nephritis (n=30, 14.8%), skin-joint disease (n=26, 12.8%) and serositis (n=24, 11.8%) were also common as dominant manifestations. Pulmonary disease (n=16, 7.9%), heart disease (n= 4, 1.9%) and gastrointestinal disease (n=2, 0.9%) were less common. On admission, 11.3% of patients (n=23) had symptoms from at least 2 clinical domains as defined. Most patients (93.5%) had multisystem disease while only 6.5% had organ-dominant disease. Early diagnosis (within 3 months from hospitalization) was established in 86.6% while 27 patients had their SLE diagnosis more than 3 months from hospitalization. The mean lag time between the hospitalization and the diagnosis was approximately 14 months (SD 19.9). Overall, the mean interval between the onset of symptoms and the diagnosis was 48.2 months (SD 73.2). Importantly, a SLERPI >7 (suggesting probable SLE) at hospitalization was present in 92.5% of SLE patients with delayed diagnosis.

Conclusion:

One out of four SLE patients first present with moderate to severe disease necessitating hospitalization, while in approximately 15% of such patients, diagnosis is initially missed. Application of the SLERPI may facilitate early SLE diagnosis.

References:

[1]Adamichou C et al. Ann Rheum Dis. 2021; DOI: 10.1136/annrheumdis-2020-219069.

[2]D Nikolopoulos et al. Lupus 2020; doi: 10.1177/0961203320908932.

Acknowledgements:

This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 742390)

Disclosure of Interests:

None declared

Calcified constrictive pericarditis resulting in tamponade in a patient with systemic lupus erythematosus

Systemic lupus erythematosus (SLE) is a chronic autoimmune disease with multiorgan involvement, including heart. Pericarditis-the most common cardiac manifestation-occurs in up to 50% of cases, resulting in positive treatment outcomes. Rarely, it evolves to hazardous complications. A 50-year-old woman with SLE in clinical remission, receiving hydroxychloroquine 400 mg/day, presented to us with severe chest pain and low-grade fever. Physical examination revealed a friction rub and decreased breath sounds at the right lung base. Laboratory evaluation demonstrated leukopenia, thrombocytopenia, low C4 levels, and high acute phase reactants. Chest X-ray exhibited cardiomegaly, calcified pericardium, and right pleural effusion, confirmed by CT scan. PPD skin test and IGRA were both negative. Pericardial fluid, blood, and urine cultures for bacteria and fungi, as well as Gram and Ziehl-Neelsen stains were negative. Serological tests for viruses were also negative. The patient was diagnosed with calcified constrictive pericarditis (CP) due to SLE. She was treated with cyclophosphamide and methylprednisolone pulses, without improvement. Her clinical condition deteriorated, developing signs and symptoms compatible with cardiac tamponade (TMP), which was confirmed by Doppler echocardiography. The patient underwent pericardiectomy. A dramatic response was noted and she was discharged with prednisone 50 mg/day and azathioprine 100 mg/day. Thus, we review and discuss the relevant literature of SLE cases with CP or TMP. When an SLE patient presents with CP, infectious causes should be excluded first. To the best of our knowledge, this is the only case of SLE and calcified CP leading to TMP, hence physicians should be aware of this complication.

Interstitial Pneumonia with Autoimmune Features (IPAF): A Single-Centre, Prospective Study

Objectives

Interstitial pneumonia with autoimmune features (IPAF) refers to patients with interstitial lung disease and autoimmune features not fulfilling the classification criteria for a specific connective tissue disease. We sought to study the characteristics, disease progression, response to treatment and complications of patients with IPAF in 1-year follow-up period.

Methods

Clinical and laboratory findings, comorbidities, medications, pulmonary function tests (PFTs), chest HRCT and complications during the one-year follow-up period were documented for each of the 39 enrolled patients with IPAF.

Results

The mean age at the time of IPAF diagnosis was 63.2 (±11) years, and 62% of patients were female. The most common clinical features were arthritis (82%) and rash (54%-not included in the IPAF criteria). Antinuclear antibodies (ANA) (59%) and non-specific interstitial pneumonia (NSIP-61.5%) were the most prevalent autoantibodies and radiological pattern respectively. PFTs at 12 months from baseline stabilized or improved in 79.5% of patients (p> 0.05). Infections were observed in 23.1% of patients during the first and in 12.8% during the second semester of follow-up. Two patients (5.1%) required hospitalization. All infections occurred in patients with non-usual interstitial pneumonia (UIP) pattern (p=0.02).

Conclusions

Arthritis and rash are among the most common features in IPAF suggesting rash could be included into IPAF criteria. Almost 80% of patients had stable/improved PFTs at the end of follow-up. Infections occurred mainly in the first semester of treatment and in patients with non-UIP radiological pattern probably due to higher doses of corticosteroids used in these patients.

FRI0170 THERAPEUTIC ΤARGETS AND QUALITY INDICATORS IN SYSTEMIC LUPUS ERYTHEMATOSUS (SLE), DEFINED ACCORDING TO THE 2019 UPDATE OF THE EULAR RECOMMENDATIONS: DATA FROM THE “ATTIKON“ LUPUS COHORT

Background:

Targets of therapy and quality of care are receiving increased attention in the management of SLE, as outlined in the 2019 update of the EULAR recommendations for SLE treatment.

Objectives:

To assess compliance with quality indicators and attainment of treatment targets, according to recent EULAR recommendations, in the SLE cohort of “Attikon” Rheumatology Unit.

Methods:

100 consecutive SLE patients followed for at least one year were. A 30 item Quality Indicator Set (QIS) was developed, according to the 2019 EULAR recommendations for SLE, to include laboratory tests for diagnosis and monitoring, evaluation of disease activity and damage using validated indices, use of patient-reported outcomes, counselling for women’s health and reproduction issues, attainment of targets of therapy [remission or low disease activity state (LLDAS) with low-dose glucocorticoids (GC, ≤7.5mg/day prednizone) and hydroxychloroquine (HCQ dose≤5mg/kg/day)], prevention of disease flares and prevention and management of co-morbidities. Chart review and patient interview was performed to assess the degree of compliance with each item of the QIS and achievement of treatment targets.

Results:

Disease activity was monitored by means of validated indices in 31% and antiphospholipid antibody testing during the first 6 months from diagnosis was performed in 58.8% of patients. Sustained remission (defined as remission of a sustained period of 12 months) or LLDAS was achieved by only 3% and 22% respectively; in contrast, other targets of therapy, such as ≤1 minor flares during last year, were achieved by 85% (43% had complete absence of flares), with 90.2% of patients receiving low-dose GC and 81.8% corrected HCQ dose. Fertility and pregnancy counselling were offered in 40% (12/30 eligible women) and 63.3% (19/30) of patients, respectively, while 65.4% had a Pap Test and only 3 of 32 eligible patients had received the HPV vaccine. Annual lipid status was assessed in 43% and counselling for smoking cessation in 44.6%. Flu vaccination was performed in 77%, while pneumococcal (including both of the pneumococcal vaccines) and herpes-zoster vaccination, were given in 32.7% and 2% (1/44 eligible patients) respectively.

Conclusion:

Our real-life data suggest low vaccination rates (excluding flu) and suboptimal management of cardiovascular risk factors in lupus patients. While the majority of patients received the suggested doses of GC and HCQ, only one quarter of patients achieved remission or LLDAS. There is an unmet need for new therapies in SLE to improve therapy targets.

References:

[1]Arora S, Sequeira W, Yazdany J, Jolly M, “Does Systemic Lupus Erythematosus Care Provided in a Lupus Clinic Result in Higher Quality of Care Than That Provided in a General Rheumatology Clinic?”, Arthritis Care Res. 2018 Dec;70(12):1771-1777. doi: 10.1002/acr.23569. Epub 2018 Nov 10.

Disclosure of Interests:

KATERINA HAVATZA: None declared, KONSTANTINA TOGIA: None declared, Sofia Flouda: None declared, Antigoni Pieta: None declared, Ourania Gioti: None declared, Dionysis Nikolopoulos: None declared, Noemin Kapsala: None declared, Aliki Ntourou: None declared, Panagiota Rapsomaniki: None declared, Thaleia Gerogianni: None declared, Dimitrios Tseronis: None declared, Michail Aggelakos: None declared, Theofanis Karageorgas: None declared, PELAGIA KATSIMPRI: None declared, George Bertsias Grant/research support from: GSK, Consultant of: Novartis, Konstantinos Thomas: None declared, DIMITRIOS BOUMPAS Grant/research support from: Unrestricted grant support from various pharmaceutical companies, Antonis Fanouriakis Paid instructor for: Paid instructor for Enorasis, Amgen, Speakers bureau: Paid speaker for Roche, Genesis Pharma, Mylan

FRI0155 Α MULTICENTER “AT-RISK” COHORT FOR THE DISCOVERY OF ENVIRONMENTAL, CLINICAL AND MOLECULAR PREDICTORS FOR THE TRANSITION INTO SYSTEMIC LUPUS ERYTHEMATOSUS (SLE)

Background:

SLE onset is preceded by a preclinical phase evidenced by the presence of anti-nuclear and other autoantibodies (autoAbs), which however, have low predictive value for development of clinical SLE.

Objectives:

To define the subgroup of autoAbs-positive individuals who are at high risk for progression into SLE by integrating environmental, clinical/serological, genetic and transcriptome data.

Methods:

A multicenter, across five European countries, inception cohort of autoAbs-positive individuals or first-degree relatives (FDRs) of SLE patients who are monitored prospectively over five years for possible transition to SLE according to the classification criteria. Structured data collection on demographics, family and medical history, clinical (criteria and selected non-criteria manifestations) and serological parameters, use of medications, hydroxyvitamin D levels and lifestyle (tobacco, alcohol use, physical activity, adherence to Mediterranean diet). Blood samples are stored for RNA-sequencing and genotyping.

Results:

A total 254 at-risk individuals (93% women, 99% Caucasians, aged [mean ± standard deviation] 36 ± 12 years) have been included and enrolment/monitoring is still ongoing. Forty individuals (16%) have FDR with SLE and 88 individuals (35%) have FDR with another autoimmune disorder. The frequency of active and past use of tobacco was 28% and 20%, respectively. Sedentary lifestyle (moving only for necessary chores or outdoor activity 1-2 times/week) was reported by 54% and adherence to the Mediterranean diet was low (3.4 ± 2.3, maximum score: 9). At enrolment, individuals had 1.9 ± 1.1 ACR-1997 classification criteria, with anti-nuclear antibodies (ANA) being the most frequent (88%), followed by synovitis (39%), photosensitivity (33%) and immunologic disorder (30%) (Table 1). During follow-up of 15.2 ± 7.2 months, a total 15 individuals (5.9%) have progressed into classified SLE, including cases with severe hematological and neurological disease.

Table 1.

Baseline characteristics of the at-risk for SLE cohort

N (%) or mean ± SDACR 1997 classification criteria1.9 ± 1.1 Malar rash68 (27%) Discoid rash29 (11%) Photosensitivity83 (33%) Mucosal ulcers49 (19%) Synovitis100 (39%) Serositis30 (12%) Renal disorder28 (11%) Neurologic disorder31 (12%) Hematologic disorder58 (23%) Immunologic disorder77 (30%) ANA222 (88%)SLICC 2012 classification criteria Clinical criteria1.0 ± 0.9 Immunological criteria1.3 ± 0.9

Conclusion:

Among individuals with positive autoAbs or FDRs with SLE, the short-term risk for transition into clinical SLE is low. Following the study completion, clinical and lifestyle data will be combined with blood transcriptome to define a high-risk subgroup of individuals for progression into SLE.

Acknowledgments:

The study is supported by the Foundation for Research in Rheumatology (FOREUM; preclin016)

Disclosure of Interests:

Christina Adamichou: None declared, Dionysis Nikolopoulos: None declared, Myrto Nikoloudaki: None declared, Zahra Rahme: None declared, Micaela Fredi: None declared, Antigoni Pieta: None declared, ARGYRO REPA: None declared, Alice Parma: None declared, Eleni Kalogiannaki: None declared, Nestor Avgustidis: None declared, Nikolaos Kougkas: None declared, Aggelos Banos: None declared, Anastasios Eskitzis: None declared, Alessandra Bortoluzzi: None declared, Søren Jacobsen: None declared, Prodromos Sidiropoulos: None declared, Emmanouil Dermitzakis: None declared, Marta Mosca: None declared, Luís Inês: None declared, Laura Andreoli: None declared, Angela Tincani: None declared, Antonis Fanouriakis Paid instructor for: Paid instructor for Enorasis, Amgen, Speakers bureau: Paid speaker for Roche, Genesis Pharma, Mylan, George Bertsias Grant/research support from: GSK, Consultant of: Novartis

AB1216 INTERSTITIAL PNEUMONIA WITH AUTOIMMUNE FEATURES (IPAF): A SINGLE CENTER, PROSPECTIVE STUDY

Background:

Interstitial pneumonia with autoimmune features (IPAF)1describes a group of patients with interstitial lung disease and autoimmune features who do not meet the classification criteria for a specific connective tissue disease. Limited data regarding IPAF are available so far.

Objectives:

To identify the epidemiological and clinical characteristics of patients with IPAF and to observe disease progression, response to treatment and frequency of infections in 1-year follow-up period.

Methods:

Thirty-nine patients from ‘Attikon’ University Hospital of Athens fulfilling the IPAF criteria were enrolled. Clinical and laboratory findings, comorbidities, medications, pulmonary outcomes assessed with repeated pulmonary function tests (PFTs) and chest HRCT and complications in a 1-year follow-up period were documented for each patient. Univariate models were performed in order to identify determinants of infection and clinically significant difference in PFTs (defined as change of ≥ 10% in FVC and/or ≥ 15% in DLCO).

Results:

The mean age at the time of IPAF diagnosis was 63.2 (±11) years and 62% of the patients were female. The most common clinical features included in the IPAF criteria were arthritis (82%) and Raynaud’s phenomenon (26%). A morbilliform and/or polymorphic rash of the face, neck and extremities (not included in the IPAF criteria) was noted in 54% of patients. ANA (59%) and anti–Ro (21%) were the most common auto-antibodies. Non-specific Interstitial Pneumonia (NSIP) was the most prevalent radiological pattern (61.5%) as shown in table 1. Treatment comprised corticosteroids and immunosuppressants including hydroxychloroquine, methotrexate, azathioprine, mycophenolate and cyclophosphamide. PFTs following treatment at 6 and 12 months from baseline showed a trend of improvement (Table 2, p> 0.05). At 1 year from baseline, 20.5% of patients showed a clinically significant deterioration while 25% had a clinically significant improvement. Infections were observed in 23.1% of patients during the first semester and in 12.8% during the second semester of the follow-up period. All were respiratory tract infections and two patients (5.1%) required hospitalization. All infections occurred in patients with non-UIP pattern (p=0.02) which might be attributed to higher doses of corticosteroids used in these patients (mean initial prednisolone dose = 27 (±18) mg/d in patients with non-UIP pattern versus 17 (±16) mg/d in patients with UIP pattern, p=0.4).

Table 1.

Prevalence of HRCT patterns in 39 patients.

Radiological patternNo (%)NSIP24 (61,5%)OP2 (5,1%)NSIP with OP overlap2 (5,1%)LIP1 (2,6%)UIP7 (18%)NSIP and UIP3 (7,7%)

NSIP: Non-specific Interstitial Pneumonia, OP: Organizing Pneumonia, LIP: Lymphocytic Interstitial Pneumonia, UIP: Usual Interstitial Pneumonia.

Table 2.

PFTs at baseline, 6 and 12 months.

PFTs (% of predicted value ± SD)Baseline6 months12 monthsP valueFVC79% (±19%)82% (±18%)84% (±17%)nsDLCO49% (±16%)52% (±17%)53% (±17%)ns

Conclusion:

Rash is a common feature in IPAF and may be considered for inclusion into IPAF criteria. A trend of improvement in PFTs and a significant risk of respiratory tract infections mainly in the first semester of treatment and in patients with non-UIP radiological pattern were observed. Larger prospective studies are warranted in order to elucidate IPAF’s prognosis and to identify effective management approaches.

References:

[1]Fischer A, et al. An official European Respiratory Society/American Thoracic Society research statement: interstitial pneumonia with autoimmune features. Eur Respir J 2015; 46: 976-987.

Disclosure of Interests:

Maria Karampeli: None declared, Konstantinos Thomas: None declared, Dimitrios Tseronis: None declared, Michail Aggelakos: None declared, Dimitra Kassara: None declared, Katerina Havatza: None declared, Sofia Flouda: None declared, Dionysis Nikolopoulos: None declared, Antigoni Pieta: None declared, Vasiliki Tzavara: None declared, Pelagia Katsimbri: None declared, Dimitrios Boumpas Grant/research support from: Unrestricted grant support from various pharmaceutical companies, Theofanis Karageorgas: None declared

Evolving phenotype of systemic lupus erythematosus in Caucasians: low incidence of lupus nephritis, high burden of neuropsychiatric disease and increased rates of late-onset lupus in the 'Attikon' cohort

OBJECTIVE

This study aimed to analyse the phenotype of systemic lupus erythematosus (SLE) at first presentation and during follow-up in a newly established SLE cohort based at 'Attikon' University Hospital. The hospital combines primary, secondary and tertiary care for the region of Western Attica, Greece.

METHODS

This study comprised a mixed prevalent and incident cohort of 555 Caucasian patients diagnosed with SLE according to American College of Rheumatology 1997 criteria and/or the Systemic Lupus Erythematosus International Collaborating Clinics (SLICC) 2012 criteria. Demographic and clinical characteristics, patterns of severity, treatments and SLICC damage index were recorded for each patient at the time of diagnosis and at last evaluation.

RESULTS

The mean age at lupus diagnosis was 38.3 years (standard deviation = 15.6 years), with a median disease duration at last follow-up of two years (interquartile range 1-11). At initial presentation, the most common 'classification' manifestations were arthritis (73.3%), acute cutaneous lupus (65%) and unexplained fever (25%), while among symptoms not included in any criteria set, Raynaud's phenomenon (33%) was the most common. Kidney and neuropsychiatric involvement as presenting manifestations were present in 10.3% and 11.5% cases, respectively. Irreversible damage accrual was present in 17.8% within six months of disease diagnosis, attributed mainly to thrombotic and neuropsychiatric disease. At last evaluation, 202 (36.4%) patients had developed severe disease, of whom more than half were treated with pulse cyclophosphamide.

CONCLUSION

In this cohort of Caucasian patients, lupus nephritis is not as common as in older cohorts, while neuropsychiatric disease is emerging as a major frontier in lupus prevention and care. These data may help to document changes in the natural history and treatment of SLE over time and may have implications for its early recognition and management.

Transcriptome reprogramming and myeloid skewing in haematopoietic stem and progenitor cells in systemic lupus erythematosus

Objectives

Haematopoietic stem and progenitor cells (HSPCs) are multipotent cells giving rise to both myeloid and lymphoid cell lineages. We reasoned that the aberrancies of immune cells in systemic lupus erythematosus (SLE) could be traced back to HSPCs.

Methods

A global gene expression map of bone marrow (BM)-derived HSPCs was completed by RNA sequencing followed by pathway and enrichment analysis. The cell cycle status and apoptosis status of HSPCs were assessed by flow cytometry, while DNA damage was assessed via immunofluorescence.

Results

Transcriptomic analysis of Lin⁻Sca-1⁺c-Kit⁺ haematopoietic progenitors from diseased lupus mice demonstrated a strong myeloid signature with expanded frequencies of common myeloid progenitors (CMPs)—but not of common lymphoid progenitors—reminiscent of a ‘trained immunity’ signature. CMP profiling revealed an intense transcriptome reprogramming with suppression of granulocytic regulators indicative of a differentiation arrest with downregulation trend of major regulators such as Cebpe, Cebpd and Csf3r, and disturbed myelopoiesis. Despite the differentiation arrest, frequencies of BM neutrophils were markedly increased in diseased mice, suggesting an alternative granulopoiesis pathway. In patients with SLE with severe disease, haematopoietic progenitor cells (CD34⁺) demonstrated enhanced proliferation, cell differentiation and transcriptional activation of cytokines and chemokines that drive differentiation towards myelopoiesis, thus mirroring the murine data.

Conclusions

Aberrancies of immune cells in SLE can be traced back to the BM HSPCs. Priming of HSPCs and aberrant regulation of myelopoiesis may contribute to inflammation and risk of flare.

Trial registration number

4948/19-07-2016.

[The use of maternal serum cytokines in the predicting of the efficacy of tocolytic therapy in case of the threat of preterm labor]

OBJECTIVES

The purpose of our study was to evaluate the use of maternal serum IL-8, IL-6, IFN-gamma levels in the predicting of the efficacy of tocolytic therapy in preterm labor.

MATERIALS AND METHODS

We investigated prospectively the group of 47 women in singleton pregnancies with threatened preterm labor in less than 36 weeks gestation and administered tocolytic therapy.

RESULTS

In 19 of them tocolysis failed (group II and they delivered premature newborns (the group I--successful tocolysis consisted of remaining 28 women). The incidence of clinical chorioamnionitis, histologic chorioamnionitis and inherited infection of newborns was significantly higher among women refractory to tocolytic therapy (10.2%, 36.8%, 26.3% versus 0%, 3.6%, 0%, respectively, p < 0.05). Maternal serum IL-8, IL-6, IFN-gamma (by means of ELISA technique) and CRP, WBC, ESR levels were measured at the admission to the study. The mean WBC, ESR and the median (range) IFN-gamma (0 (0-7.1) and 0.9 (0-10.4) pg/ml, respectively) didn't differ in both groups. The concentrations of serum IL-8, IL-6, CRP were significantly higher in the group of failed tocolysis (median (range): IL-8: 22.7 (6.3-83.2) vs 3.0 (0-26.0) pg/ml; IL-6: 7.4 (0-21.0) vs 0 (0-11.3) pg/ml; CRP: 1.8 (0.6-7.0) vs 0.6 (0.6-3.9) mg/dl; p < 0.05). Serum IL-8 determinations (definition of abnormal test: > 8 pg/ml) were found the most reliable in the prediction of tocolysis failure with a sensitivity 87.5%, specificity 81.8%, positive predictive value 77.8%, negative predictive value 90% and accuracy 84.2%. Also reliable were IL-6 determinations (IL-6 > 6 pg/ml had a sensitivity 75%, specificity 90.9%, positive predictive value 85.7%, negative predictive value 83.3% and accuracy 84.2%) and CRP determinations (CRP > 1.2 mg/dl had a sensitivity 75%, specificity 81.8%, positive predictive value 75%, negative predictive value 81.8% and accuracy 78.9%). The efficacy of IFN-gamma, WBC and ESR was significantly lower.

CONCLUSIONS

Our data revealed that the maternal serum IL-8, IL-6 and CRP determinations are very useful in the predicting of the efficacy of tocolytic therapy in women with threatened preterm labor. The use of IFN-gamma, WBC, ESR was significantly lower.

[Infection with parvovirus B19 in pregnant women]

The viral infection caused by Parvovirus B19 which occurs at pregnant women may be reason of many different kinds of complications during pregnancy. Until this time it is not known the frequency of the Parvovirus infections at pregnant women in Poland. We have based our studies on a group of 78 pregnant women with symptoms of a abortion, a premature imminent labour, premature labor and intrauterine death of foetus. In 10 cases (12.8%) we have confirmed a presence of antibodies IgM class antiparvovirus B19 at patients serum. It seems that the Parvovirus infection is one of most often reasons of unsuccessful pregnant.