3D CT-Inclusive Deep-Learning Model to Predict Mortality, ICU Admittance, and Intubation in COVID-19 Patients

Chest CT is a useful initial exam in patients with coronavirus disease 2019 (COVID-19) for assessing lung damage. AI-powered predictive models could be useful to better allocate resources in the midst of the pandemic. Our aim was to build a deep-learning (DL) model for COVID-19 outcome prediction inclusive of 3D chest CT images acquired at hospital admission. This retrospective multicentric study included 1051 patients (mean age 69, SD = 15) who presented to the emergency department of three different institutions between 20th March 2020 and 20th January 2021 with COVID-19 confirmed by real-time reverse transcriptase polymerase chain reaction (RT-PCR). Chest CT at hospital admission were evaluated by a 3D residual neural network algorithm. Training, internal validation, and external validation groups included 608, 153, and 290 patients, respectively. Images, clinical, and laboratory data were fed into different customizations of a dense neural network to choose the best performing architecture for the prediction of mortality, intubation, and intensive care unit (ICU) admission. The AI model tested on CT and clinical features displayed accuracy, sensitivity, specificity, and ROC-AUC, respectively, of 91.7%, 90.5%, 92.4%, and 95% for the prediction of patient's mortality; 91.3%, 91.5%, 89.8%, and 95% for intubation; and 89.6%, 90.2%, 86.5%, and 94% for ICU admission (internal validation) in the testing cohort. The performance was lower in the validation cohort for mortality (71.7%, 55.6%, 74.8%, 72%), intubation (72.6%, 74.7%, 45.7%, 64%), and ICU admission (74.7%, 77%, 46%, 70%) prediction. The addition of the available laboratory data led to an increase in sensitivity for patient's mortality (66%) and specificity for intubation and ICU admission (50%, 52%, respectively), while the other metrics maintained similar performance results. We present a deep-learning model to predict mortality, ICU admittance, and intubation in COVID-19 patients. KEY POINTS: • 3D CT-based deep learning model predicted the internal validation set with high accuracy, sensibility and specificity (> 90%) mortality, ICU admittance, and intubation in COVID-19 patients. • The model slightly increased prediction results when laboratory data were added to the analysis, despite data imbalance. However, the model accuracy dropped when CT images were not considered in the analysis, implying an important role of CT in predicting outcomes.

Could the miniaturize techonologies improve patients adherence and assure better quality of life?

Background

From 2000 to today, the use of information technology in the medical field is increasingly widespread, reaching a new milestone following the COVID 19 syndemia. It is increasingly evident that wireless monitoring allows patients to be followed more easily, detecting complications early at home and allowing to limit the contagion of healthcare personnel by reducing the interaction with patients in hospital rooms

Methods

A pilot Multicenter Open-label Randomized Controlled Trial (RCT) was performing comparing wearable wireless vital parameters continuous monitoring (WVPCM) system and regular monitoring. Data were collected to provide a clinical-economic impact (costs, program effectiveness and QALY gains) of complex patients (CPs) discharged from Internal Medicine Units. Cost were estimated by mean of the identification, measuring and valorisation of the resources uptake.

Results

143 patients (37 M/38 F, mean age: 78.7 years). Major complications: respiratory failure detection (6,5 vs 3,8); reduction of sudden deaths (9.3% vs 16% experimental); care-related infections (6,5 vs 7,5), glycemic decompensation (4,3 vs 1,9). Hospital readmission within 21 days were 7% vs 11%. Relevant cost driver was time spent by nurses: 58 minutes/day/patient (vs 132) allow to save €54-90/patient. One way and multiway sensitivity analyses confirmed the robustness of our results with nearly 99% of the replications involved

Conclusions

WVPCM, detecting early complication during the post-discharge CPs monitoring, may facilitate a timely response ensuring a more appropriate management of complex patients seen (>25% of total admissions), reduce the time to diagnosis, improve efficiency/efficacy of disease management and reduce unnecessary clinic visits and hospital (re)admissions. The miniaturized technologies can improve patient adherence and assure better quality of life. WVPCM allows patients to be sent home safely and to effectively integrate Hospital and Community services.

Key messages

Wearable wireless vital parameters continuous monitoring (WVPCM) system reduce time and cost of nursing.

Wearable wireless vital parameters continuous monitoring (WVPCM) system can detect early complication improve patient adherence and assure better quality of life.

Device therapy for the major complications detection and early treatment of patients with natural and iatrogenic comorbidities admitted to internal medicine wards

Background

Whith advances in devices miniaturization and wireless technologies, wereable “on body” ECG patch devices are unobtrusive and easy to use. Continuous ECG monitoring in the short term is indicated in patients who, due to age, comorbidities and polytherapy, are at greater risk of arrhythmias. Since 2017, a randomized-open label study is being conducted at the admission of acute patients in Internal Medicine Unit for 72 hours with continuous monitoring of vital parameters and the 5 leads-ECG (VP-ECG CM) trace by the mean of a tele-cardiology program.

Purpose

Objective of this study is to perform a cost-effectiveness evaluation of the VP-ECG CM program in inpatient settings.

Methods

Data were used in order to evaluate costs, the program effectiveness and the QALY gains using wireless monitoring compared to nurses traditional one. Costs were estimated by mean of the identification, measuring and valorization of the resources uptake. Cost drivers included: time spent by personnel, cost of the device, consumables, medical treatments, diagnostic exams and complications. The perspective of the Italian National Health Service was adopted. The incremental analysis was performed in order to present the cost per complication avoided and the cost per QALY gained. Net monetary benefit was also calculated. Either a deterministic and probabilistic analysis were performed by means of a bootstrap simulation allowing for re-sampling. A cost-effectiveness-acceptability curve was estimated, considering a cost-effectiveness threshold of €35,000/QALY.

Results

On 143 patients, arrhythmias and acute coronary syndrome were detected 4.3% in the experimental arm and 1.9% in the control arm, whilst 29,5% major complications were detected in the experimental arm vs 43.5% in the control and reduction in the number of sudden deaths (16% control and 9.3% experimental). Time spent by nurses in the control arm (58 minutes/day/patient) was the most relevant cost driver and allowed a saving ranging €54–90/patient. This saving overwhelmed the costs for the equipment whilst the other costs remained unchanged, thus allowing for the VP-ECG CM to be dominant versus the standard of care. One way and multiway sensitivity analyses confirmed the robustness of our results with p-value 0,05 involved in the bootstrap presenting dominance of the VP-ECG CM.

Conclusions

Notwithstanding the concerns of a loss of control in patient management, telemedicine (digital health infrastructure and driver) could perform healthcare transformation enabling physicians to increase the volume of patients seen, reduce the time to diagnosis, improve efficiency and efficacy of disease management, and reduce unnecessary clinic visits and hospital admissions. The miniaturized technologies can improve patient adherence, and the detection, characterization and monitoring of cardiac arrhythmias – readily digitalized markers and phenotypes of cardiovascular disease.

Funding Acknowledgement

Type of funding sources: None. Wireless Monitoring Study flowchart

Application of Ultrasound in the Assessment of Oligoarticular Psoriatic Arthritis Subset: Results from Patients Treated with Apremilast

BACKGROUND

Psoriatic arthritis (PsA) is an inflammatory rheumatic disease characterized by different phenotypes in terms of joint involvement. The so-called oligoarticular pattern involves fewer than five active joints at a different time points. The evaluation of disease activity in this subset of patients is an unmet need due to the lack of specific indices able to capture modifications over time.

OBJECTIVES

To evaluate the ability of musculoskeletal ultrasound to monitor the response to apremilast treatment in oligoarticular PsA patients.

METHODS

We evaluated 24 oligoarticular patients (19 women, 5 men; median age 56 years, interquartile range (IQR) 19; median disease duration 5 years, IQR 5.75). All patients were assessed at baseline (T0), and after 6 (T1), 12 (T2), and 24 (T3) weeks. Clinical assessment included evaluation of 66 swollen joints and patient global health assessment. All the patients underwent ultrasound assessment of the clinically involved joints. Synovial effusion/hypertrophy and power Doppler were scored with a semi-quantitative scale (0-3). The total inflammatory score was the sum of the scores.

RESULTS

We found a reduction in the ultrasound inflammatory score at all time points, with a significant improvement at 6 and 12 weeks of treatment compared with baseline: T0 median 8.5 (IQR 5.0); T1 3.5 (3.0); T2 2.0 (3.5); P  = 0.01. We observed a significant reduction of patient global health assessment after 24 weeks (T0 median 50 (32.5); T3 40 (57.5); P = 0.01).

CONCLUSIONS

Musculoskeletal ultrasound could be useful in the assessment of treatment response in PsA patients with oligoarticular subset.

Burden of COVID-19 on Italian Internal Medicine Wards: Delphi, SWOT, and Performance Analysis after Two Pandemic Waves in the Local Health Authority "Roma 6" Hospital Structures

Background: COVID-19 causes major changes in day-to-day hospital activity due to its epidemiological characteristics and the clinical challenges it poses, especially in internal medicine wards. Therefore, it is necessary to understand and manage all of the implicated factors in order to maintain a high standard of care, even in sub-par circumstances. Methods: This was a three-phase, mixed-design study. Initially, the Delphi method allowed us to analyze the causes of poor outcomes in a cohort of an aggregate of Italian COVID-19 wards via an Ishikawa diagram. Then, for each retrieved item, a score was assigned according to a pros/cons, opportunities/threats system. Scores were also assigned according to potential value/perceived risk. Finally, the performances of MCs (Medicine-COVID-19 wards) and MCFs (Medicine-COVID-19-free: Internal Medicine wards) units were represented via a Barber's nomogram. Results: MCFs hospitalized 790 patients (-23.90% compared to 2019 Internal Medicine admissions). The main risk factors for mortality were patients admitted from local facilities (+7%) and the presence of comorbidities (>3: 100%, ≥5: 24.7%). A total of 197 (25%) patients were treated with non-invasive ventilation (NIV). The most deaths (57.14%) occurred in patients admitted from local facilities. Conclusions: Medicine-COVID-19 wards show higher complexity and demand compared to non-COVID-19 ones and they are comparable to sub-intensive therapy wards. It is necessary to promote the use of NIV in such settings.

Comprehensive disease control in systemic lupus erythematosus

OBJECTIVES

We evaluated a monocentric SLE cohort in order to assess the frequency of Lupus comprehensive disease control (LupusCDC), a condition defined by the achievement of remission and the absence of damage progression.

METHODS

Our longitudinal analysis included SLE patients with 5-years follow-up and at least one visit per year. Disease activity was assessed by SLE Disease Activity Index 2000 (SLEDAI-2K) and three different remission levels were evaluated (Complete Remission, CR; Clinical remission off-corticosteroids; clinical remission on-corticosteroids). Chronic damage was assessed according to SLICC Damage Index (SDI). LupusCDC was defined as remission achievement for at least one year plus absence of chronic damage progression in the previous one year. A machine learning based analysis was carried out, applying and comparing Nonlinear Support Vector Machines (SVM) models and Decision Trees (DT), whereas features ranking was performed with the ReliefF algorithm.

RESULTS

We evaluated 172 patients [M/F 16/156, median age 49 years (IQR 16.7), median disease duration 180 months (IQR 156)]. SDI values (baseline mean±SD 0.7 ± 1.1) significantly increased during the follow-up period. In all time-points analyzed, LupusCDC including CR was the most frequently detected. The failure to reach this condition was significantly associated with renal involvement and with the intake of immunosuppressant drugs and glucocorticoid (GC). Ten patients (5.8%) have maintained LupusCDC during the whole 5-year follow-up: these patients had never presented renal involvement and showed lower prevalence of anti-phospholipid antibodies (p = 0.0001). Finally, the prevalence of GC intake was significantly lower (p = 0.0001). The application of machine learning models showed that the available features were able to provide significant information to build predictive models with an AUC score of 0.703 ± 0.02 for DT and 0.713 ± 0.02 for SVM.

CONCLUSIONS

Our data on a monocentric cohort suggest that the LupusCDC can efficaciously merge into one outcome SLE-related disease activity and chronic damage in order to perform an all-around evaluation of SLE patients.

Joint involvement influences quality of life in systemic lupus erythematosus patients

INTRODUCTION

Joint involvement represents the major determinant in quality of life (QoL)in Systemic Lupus Erhytematosus (SLE) patients. However, QoLhas been generally evaluated by non-specific questionnaires. We evaluated the relationship between SLE musculoskeletal manifestations and QoL, assessed by LupusQoL.

METHODS

Patients with joint involvement (group A) were compared with those without this feature (group B). Disease activity was assessed by SLEDAI-2k in the whole population, while DAS28 and swollen to tender ratio were applied to assess joint activity. LupusQoL was administered to all the patients.

RESULTS

Group A included 110 patients [M/F 8/102; median age 49 years (IQR 13), median disease duration 156 months (IQR 216)], group B 58 [M/F 11/47; median age 40 years (IQR 15), median disease duration 84 months (IQR 108)].We found significanlty lower values in all the LupusQoL domains except for one (burden to others) in group A in comparison with group B. A significant correlation between DAS28 values and all the LupusQoL domains in group A was found; only three domains correlated with SLEDAI-2k.

CONCLUSIONS

SLE-related joint involvement significantly influences disease-specific QoL. DAS28 better correlated with LupusQoL domains in comparison with SLEDAI-2k, confirming the need for specific musculoskeletal activity indices.

Anti-Yo Antibodies in Children With ADHD: First Results About Serum Cytokines

Objective: We investigated whether ADHD children who are positive to Purkinje cell antibodies display pro-inflammatory activity associated with high cytokine serum levels. Method: Fifty-eight ADHD outpatients were compared with 36 healthy, age- and sex-matched children. Forty-five of the ADHD children were positive to anti-Yo antibodies, whereas 34 of the control children were negative. Interleukin 4 (IL-4), IL-6, IL-10, IL-17, tumor necrosis factor alpha (TNFα), and interferon gamma (IFNγ) cytokine serum levels were tested in ADHD children who were positive to anti-Yo antibodies and in the control children who were negative. Results: Anti-Yo antibodies were present to a greater extent in the ADHD group: 77.58% versus 22.42%. Significant differences emerged between the two groups in IL-6 and IL-10, with higher cytokine levels being detected in ADHD children than in controls. Conclusion: Immune processes in ADHD are likely to be associated with mediators of inflammation, such as cytokines. These results contribute to our understanding of action of neural antibodies and cytokines in ADHD.

Caffeine intake influences disease activity and clinical phenotype in systemic lupus erythematosus patients

OBJECTIVE

Caffeine, one of the most widely consumed products in the world, seems to interact with multiple components of the immune system by acting as a non-specific phosphodiesterase inhibitor. In vitro dose-dependent treatment with caffeine down-regulates mRNA levels of key inflammation-related genes in peripheral blood mononuclear cells. So far, no robust data are available about the possible contribution of caffeine in systemic lupus erythematosus (SLE). The aim of this study was to evaluate the impact of caffeine consumption on SLE-related disease phenotype and activity, in terms of clinimetric assessment and cytokine serum levels.

METHODS

We performed a cross-sectional study, enrolling consecutive patients and reporting their clinical and laboratory data. Disease activity was assessed by SLE Disease Activity Index 2000 (SLEDAI-2K). Caffeine intake was evaluated by a 7-day food frequency questionnaire, including all the main sources of caffeine. As previously reported, patients were divided into four groups according to the daily caffeine intake: <29.1 mg/day (group 1), 29.2-153.7 mg/day (group 2), 153.8-376.5 mg/day (group 3) and >376.6 mg/day (group 4). At the end of questionnaire filling, blood samples were collected from each patient to assess cytokine levels. These were assessed by using a panel by Bio-Plex assays to measure the levels of IL-6, IL-10, IL-17, IL-27, IFNγ, IFNα and BLyS.

RESULTS

We enrolled 89 consecutive SLE patients. We observed a negative correlation between caffeine consumption and disease activity, measured with SLEDAI-2K. A significantly higher prevalence of lupus nephritis, neuropsychiatric involvement, haematological manifestations, hypocomplementaemia and anti-dsDNA positivity was observed in patients with a low intake of caffeine. Furthermore, patients with a low intake of caffeine were more frequently treated with glucocorticoids. Regarding cytokine analysis, a negative correlation between daily caffeine consumption and serum level of IFNγ was found (p = 0.03, r = -0.2); furthermore, patients with a high intake of caffeine showed lower serum levels of IFNα (p = 0.02), IL-17 (p = 0.01) and IL-6 (p = 0.003).

CONCLUSIONS

In this report we demonstrated the impact of caffeine on SLE disease activity status, as confirmed by the inverse correlation between its intake and both SLEDAI-2K values and cytokine levels. Moreover, patients with a low caffeine consumption seem to have a more severe disease phenotype.

Belimumab is Able to Induce a Significant Improvement of Joint Activity Status in Patients Diagnosed with Systemic Lupus Erythematosus: Results From a 12-Month Longitudinal Study

BACKGROUND

Belimumab was the first biological drug approved for the treatment of systemic lupus erythematosus (SLE) patients. Phase II/III randomized controlled trials and real-life studies identified patients with musculoskeletal involvement as best responders.

OBJECTIVES

To evaluate the effectiveness of belimumab in SLE-related joint involvement.

METHODS

The cohort comprised SLE patients receiving belimumab for musculoskeletal indications. Belimumab was intravenously administrated according to protocols; all the patients were evaluated at baseline (T0) and after 3 (T1), 6 (T2), and 12 (T3) months. We assessed joint activity by disease activity score 28, simple disease activity index (SDAI), clinical disease activity index (CDAI), and swollen tender ratio. Each patient underwent musculoskeletal ultrasound of 34 joints to assess synovial effusion synovial hypertrophy, and power Doppler; by using a semi-quantitative scale (0-3) we obtained the total inflammatory score (0-216).

RESULTS

We evaluated 20 patients (males/females 1/19, median age 45 years [interquartile range (IQR) 12], median disease duration 144 months [IQR 144]). CDAI and SDAI significantly decreased at T1 (P = 0.02 and P = 0.01 respectively) and this improvement was maintained at the following time-points (CDAI: T2 P = 0.008, T3 P = 0.004; SDAI: T2 P = 0.006, T3 P = 0.01). A significant reduction of median ultrasound score was identified at T1 (T0 20.5 [IQR 13.5] vs. T1 7.5 [IQR 4.7], P < 0.001), and maintained at T2 (7.0 [IQR 5], P < 0.0001), and T3 (7.0 [IQR 9.0], P < 0.0001).

CONCLUSIONS

Belimumab induces a sustained improvement of ultrasound-detected inflammatory status at the articular level.

SAT0555 MUSCULOSKELETAL ULTRASOUND IN MONITORING RESPONSE TO JAKi IN RHEUMATOID ARTHRITIS PATIENTS: RESULTS FROM A LONGITUDINAL STUDY

Background:

Therapeutic approach of rheumatoid arthritis (RA) patients has been enriched by the introduction of small molecules. In particular Jak inhibitors (JAKi), baricitinib and tofacitinib, demonstrated their efficacy in patients naïve or resistant to biological treatments in randomized controlled trials. Moreover, these drugs seem to be able to prevent radiographic progression. To date few data are available from the real life context. Ultrasonographic (US) assessment has became a valid imaging tool in the management of RA patients in clinical practice, allowing the evaluation of joint inflammatory status. Together with clinimetric assessment, US could provide a comprehensive assessment of drug response.

Objectives:

In the present study we aimed at assessing the early response to JAKi treatment by using musculoskeletal US.

Methods:

In this prospective longitudinal study, we collected data about all consecutive active RA patients starting treatment with JAKi. RA was diagnosed according to the 2010 ACR/EULAR criteria. At each visit, clinical and laboratory data were collected in a standardized and computerized form, including demographics, past medical history, co-morbidities, previous and concomitant treatments. According with study protocol, all patients underwent clinical and US assessment at the following time-points: baseline (T0), 4 weeks (T1) and 12 weeks (T2). Clinical evaluation included tender and swollen joint counts (0-28), patients global health assessment. C-reactive protein (CRP) levels were registered and disease activity was calculated by disease activity score (DAS) in 28 joints by using CRP (DAS28-CRP). A systematic multiplanar grey-scale and power Doppler (pD) US examination was performed by using MyLab Eight Exp Machine (Esaote, Florence, Italy) at level of 22 joints (bilateral I-V metacarpophalangeal, I-V proximal interphalangeal, wrist). According with OMERACT definitions (1) we assessed the presence of synovial effusion, hypertrophy and pD, that were scored according to a semi-quantitative scale (0-3). A total US inflammatory score (0-198) was obtained by their sum.

Results:

We enrolled 91 patients [F/M 77/14; median age 60.0 years (IQR 15.5); median disease duration 144 months (IQR 126)]. Of these patients, 54 (59.3%) were treated by baricitinib and the remaining 37 by tofacitinib. At baseline we found a median US inflammatory score of 20 (IQR 18.7) and a median DAS28-CRP of 5.0 (IQR 1.56). US assessment demonstrated significant reduction in the median values of inflammatory score already at T1 [median 13 (IQR 14.7), p<0.0001], that was maintained at T2 [median 10 (IQR 11), p<0.0001]. These results are represented in figure 1. Similar to US inflammatory score, a significant reduction was registered for DAS28-CRP median values [T1 3.5 (IQR 1.73), p<0.0001; T2 3.3 (IQR 1.8), p<0.0001]. No significant differences were found when subgrouping patients according with different JAKi drug, in terms US and clinimetric assessment.

Conclusion:

In the present study, specifically designed to evaluate the US-detected efficacy of JAKi in RA patients, we demonstrated in a real life setting a significant, early and sustained improvement of inflammatory joint status.

References:

[1]Wakefield et al, J Rheumatol 2005

Disclosure of Interests:

enrica cipriano: None declared, Fulvia Ceccarelli: None declared, Francesca Romana Spinelli Grant/research support from: Pfizer, Consultant of: Novartis, Gilead, Lilly, Sanofi, Celgene, Speakers bureau: Lilly, Cristina Garufi: None declared, Ilaria Duca: None declared, Silvia Mancuso: None declared, cristiano alessandri Grant/research support from: Pfizer, Manuela Di Franco: None declared, Roberta Priori: None declared, Valeria Riccieri: None declared, Rossana Scrivo: None declared, Carlo Perricone: None declared, Guido Valesini: None declared, fabrizio conti Speakers bureau: BMS, Lilly, Abbvie, Pfizer, Sanofi

THU0627-HPR JOINT INVOLVEMENT SIGNIFICANTLY INFLUENCES QUALITY OF LIFE OF PATIENTS WITH SYSTEMIC LUPUS ERYTHEMATOSUS

Background:

Joint involvement is one of the most common features observed in Systemic Lupus Erythematosus (SLE), potentially involving up to 90% of patients [1]. Several patients’ reported outcomes (PROs) have been employed to measure Quality of life (QoL) in SLE patients, but frequently not specifically developed for SLE patients. More recently, the LupusQoL has been validated, a disease specific questionnaire[2,3].

Objectives:

We focused at assessing the relationship between musculoskeletal manifestations and QoL in a large SLE cohort, by using the LupusQoL.

Methods:

SLE patients with a clinical history of joint involvement (arthralgia/arthritis – group A) were enrolled in the present study. SLE diagnosis was performed according to the revised 1997 ACR criteria. As a control group, we enrolled SLE patients without history of joint involvement (group B).Disease activity was assessed by the SLE Disease Activity Index-2000 (SLEDAI-2k). The activity of joint involvement was assessed by using the disease activity score on 28 joints (DAS28ESR). The LupusQoL was administered to the enrolled patients (Group A and Group B). It consists of 34 items referring to eight domains: physical health (PH), pain (P), planning (PL), intimate relationships (IR), burden to others (BO), emotional health (EH), body image (BI) and fatigue (F).

Results:

Group A included 110 patients [M/F 8/102; median age 49 years (IQR 13), median disease duration 156 months (IQR 216)], while group B included 58 patients [M/F 11/47; median age 40 years (IQR 15), median disease duration 84 months (IQR 108)]. Group A showed a significantly lower disease duration and mean age in comparison with group B (P< 0.001 for both comparisons). As represented in figure 1, group A showed significantly lower values in all LupusQoL domains except for “burden to others” domain. Moreover, we observed an inverse correlation between DAS28ESRand all the LupusQoL domains in group A patients [PH (r=-0.5, P>0.0001), P (r=-0.5, P<0.0001), PL (r=-0.5, P<0.0001), IR (r=-0.2, P=0.006), BO (r=-0.4, P=0.0004), EH (r=-0.3, P=0.0009), BI (r=-0.4, P=0.001), F (r=-0.4, P<0.0001)]. Conversely, SLEDAI-2k values inversely correlated only with PL (r=-0.3, P=0.006), IR (r=-0.25, P=0.02), EH (r=-0.3, P=0.02).

Figure 1.

Conclusion:

In the present study, by using a disease specific PRO, we found a poorer QoL in SLE patients with joint involvement in comparison with those without this manifestation. Moreover,DAS28ESRsignificantly correlated with all LupusQol domains, differently from SLEDAI-2k, suggesting the need to evaluate joint involvement with a specific activity index.

References:

[1]Cervera R et al. Medicine 1993

[2]McElhone K. et al. Arthritis Rheum 2007.

[3]Conti F et al. Lupus 2014

Group (A)Group (B)pPH80,38 ± 21,4362,88 ± 23.28< 0.0001P82,36 ± 25.0862,30± 26.02< 0.0001PL83,04 ± 27.8270,58± 29.450.001IR84,49± 25.9965,36± 36.330.0005BO69,58 ± 28.4663,45± 28.950.129EH71,98 ± 24.6964,69± 23.050.0169F73,69 ± 24.2959,78±26.060.0004B78,14 ± 24.6156,28±30.14<0.0001

Disclosure of Interests:

Francesco Natalucci: None declared, Fulvia Ceccarelli: None declared, enrica cipriano: None declared, Giulio Olivieri: None declared, Carlo Perricone: None declared, Francesca Romana Spinelli Grant/research support from: Pfizer, Consultant of: Novartis, Gilead, Lilly, Sanofi, Celgene, Speakers bureau: Lilly, Simona Truglia: None declared, Francesca Miranda: None declared, cristiano alessandri Grant/research support from: Pfizer, fabrizio conti Speakers bureau: BMS, Lilly, Abbvie, Pfizer, Sanofi, Guido Valesini: None declared

THU0227 CAFFEINE INTAKE MODULATES DISEASE ACTIVITY AND CYTOKINES LEVELS IN SYSTEMIC LUPUS ERYTHEMATOSUS PATIENTS

Background:

Systemic lupus erythematosus (SLE) is an autoimmune disease mainly affecting women of childbearing age. The interplay between genetic and environmental factors may contribute to disease pathogenesis1. At today, no robust data are available about the possible contribute of diet in SLE. Caffeine, one of the most widely consumed products in the world, seems to interact with multiple components of the immune system by acting as a non-specific phosphodiesterase inhibitor2.In vitrodose-dependent treatment with caffeine seems to down-regulate mRNA levels of key inflammation-related genes and similarly reduce levels of different pro-inflammatory cytokines3.

Objectives:

We evaluated the impact of caffeine consumption on SLE-related disease phenotype and activity, in terms of clinimetric assessment and cytokines levels.

Methods:

We performed a cross-sectional study, enrolling consecutive patients and reporting their clinical and laboratory data. Disease activity was assessed by SLE Disease Activity Index 2000 (SLEDAI-2k)4. Caffeine intake was evaluated by a 7-day food frequency questionnaire, including all the main sources of caffeine. As previously reported, patients were divided in four groups according to the daily caffeine intake: <29.1 mg/day (group 1), 29.2-153.7 mg/day (group 2), 153.8-376.5 mg/day (group 3) and >376.6 mg/day (group 4)5. At the end of questionnaire filling, blood samples were collected from each patient to assess cytokines levels. These were assessed by using a panel by Bio-Plex assays to measure the levels of IL-6, IL-10, IL-17, IL-27, IFN-γ, IFN-α and Blys.

Results:

We enrolled 89 SLE patients (F/M 87/2, median age 46 years, IQR 14; median disease duration 144 months, IQR 150). The median intake of caffeine was 195 mg/day (IQR 160.5). At the time of the enrollment, 8 patients (8.9%) referred a caffeine intake < 29.1 mg/day (group 1), 27 patients (30.3%) between 29.2 and 153.7 mg/day (group 2), 45 patients (51%) between 153.8 and 376.5 mg/day (group 3) and 9 patients (10.1%) >376.6 mg/day (group 4). A negative correlation between the levels of caffeine and disease activity, evaluated with SLEDAI-2K, was observed (p=0.01, r=-0.26). By comparing the four groups, a significant higher prevalence of lupus nephritis, neuropsychiatric involvement, haematological manifestations, hypocomplementemia and anti-dsDNA positivity was observed in patients with less intake of caffeine (figure 1 A-E). Furthermore, patients with less intake of caffeine showed a significant more frequent use of glucocorticoids [group 4: 22.2%,versusgroup 1 (50.0%, p=0.0001), group 2 (55.5%, p=0.0001), group 3 (40.0%, p=0.009)]. Moving on cytokines analysis, a negative correlation between daily caffeine consumption and serum level of IFNγ was found (p=0.03, r=-0.2) (figure 2A); furthermore, patients with more caffeine intake showed significant lower levels of IFNα (p=0.02, figure 2B), IL-17 (p=0.01, figure 2C) and IL-6 (p=0.003, figure 2D).

Conclusion:

This is the first report demonstrating the impact of caffeine on SLE disease activity status, as demonstrated by the inverse correlation between its intake and both SLEDAI-2k values and cytokines levels. Moreover, in our cohort, patients with less caffeine consumption seems to have a more severe disease phenotype, especially in terms of renal and neuropsychiatric involvement. Our results seem to suggest a possible immunoregulatory dose-dependent effect of caffeine, through the modulation of serum cytokine levels, as already suggested byin vitroanalysis.

References:

[1]Kaul et alNat. Rev. Dis. Prim.2016; 2. Aronsen et alEurop Joul of Pharm2014; 3. Iris et alClin Immun.2018; 4. Gladman et al J Rheumatol. 2002; 5. Mikuls et alArth Rheum2002

Disclosure of Interests:

Valeria Orefice: None declared, Fulvia Ceccarelli: None declared, cristiana barbati: None declared, Ramona Lucchetti: None declared, Giulio Olivieri: None declared, enrica cipriano: None declared, Francesco Natalucci: None declared, Carlo Perricone: None declared, Francesca Romana Spinelli Grant/research support from: Pfizer, Consultant of: Novartis, Gilead, Lilly, Sanofi, Celgene, Speakers bureau: Lilly, cristiano alessandri Grant/research support from: Pfizer, Guido Valesini: None declared, Fabrizio Conti Speakers bureau: BMS, Lilly, Abbvie, Pfizer, Sanofi

FRI0159 EROSIVE ARTHRITIS IN SYSTEMIC LUPUS ERYTHEMATOSUS: APPLICATION OF CLUSTER ANALYSIS

Background:

Systemic Lupus Erythematosus (SLE) related arthritis has been traditionally defined non-erosive and then considered a minor manifestation. Thanks to the application of more sensitive imaging techniques, such as ultrasonography (US), erosive damage has been identified in up to 40% of SLE patients with joint involvement, suggesting the need for more appropriate treatment (1). Antibodies directed against citrullinated and carbamilated proteins (ACPA and anti-CarP, respectively) have been associated with erosive damage and then proposed as biomarkers for this more aggressive phenotype (2).

Objectives:

Here, we evaluated a large SLE cohort with joint involvement by using cluster analysis, in order to identify the disease phenotype associated with erosive arthritis.

Methods:

For this analysis, we enrolled consecutive SLE patients (ACR 1997 criteria) with a clinical history of joint involvement (arthritis/arthralgia). Clinical and laboratory data were collected in a standardized computerized electronically filled form, including demographics, past medical history with the date of diagnosis, co-morbidities, previous and concomitant treatments, serological status. The presence of rheumatoid factor (RF), ACPA and anti-CarP was investigated by ELISA test. Erosive damage was assessed by ultrasonography at level of metacarpophalangeal, proximal interphalangeal and metatarsophalangeal joints (MyLab Eight Exp, Esaote, Florence, Italy). Data have been analysed by hierarchic cluster analysis (SPSS program, IBM).

Results:

We enrolled 203 patients [M/F 12/191, median age 46.0 years (IQR 18); median disease duration 120.0 months (IQR 108)]. Erosive damage was identified in 53 patients (26.1%), all of them referring at least one episode of arthritis during disease course. Moving on autoantibodies status, RF was positive in 29.5%, anti-CarP in 28.5% and ACPA in 11.2%. The univariate analysis demonstrated a significant association between US-detected erosive damage and anti-CarP (p=0.01), ACPA (p=0.03), and renal manifestations (p=0.03). In Figure 1 we reported the dendrogram obtained from cluster analysis, allowing the identification of four cluster. Positivity for ACPA, anti-CarP, erosive damage, Jaccoud’s arthropathy and renal manifestations were allocated in the same cluster. Interestingly, RF resulted allocated in a different cluster, including ENA, anti-SSA and anti-SSB antibodies.

Conclusion:

The application of cluster analysis allowed the identification of a specific SLE phenotype, characterized by erosive damage, renal manifestations and positivity for anti-CarP and ACPA. We could speculate about the presence of a shared pathogenic mechanism, involving NETosis, contributing to nephritis and erosive arthritis.

References:

[1]Ceccarelli F et al. Semin Arthritis Rheum 2017

[2]Ceccarelli F et al. Arthritis Res Ther 2018

Disclosure of Interests:

Fulvia Ceccarelli: None declared, Francesco Natalucci: None declared, Carlo Perricone: None declared, enrica cipriano: None declared, Carmelo Pirone: None declared, Giulio Olivieri: None declared, Tania Colasanti: None declared, Francesca Romana Spinelli Grant/research support from: Pfizer, Consultant of: Novartis, Gilead, Lilly, Sanofi, Celgene, Speakers bureau: Lilly, cristiano alessandri Grant/research support from: Pfizer, Guido Valesini: None declared, fabrizio conti Speakers bureau: BMS, Lilly, Abbvie, Pfizer, Sanofi

OP0204 LUPUS COMPREHENSIVE DISEASE CONTROL IN SYSTEMIC LUPUS ERYTHEMATOSUS PATIENTS: APPLICATION OF A NEW INDEX

Background:

The main outcomes in SLE patients management are represented by the remission achievement and chronic damage prevention. Even though activity and damage are intimately connected, to date indices including both these outcomes are not available.

Objectives:

In the present study, we aimed at assessing the application of a new index, the Lupus comprehensive disease control (LupusCDC), including disease activity and chronic damage progression.

Methods:

We performed a longitudinal analysis, including SLE patients according to ACR 1997 criteria, followed-up in the period between January 2014 and December 2018, and with at least one visit per year. Disease activity was assessed by SLE Disease Activity Index 2000 (SLEDAI-2K) and three different remission levels were evaluated, as reported in Table 1 (1).

Table 1.

Remission levels considered in the study (1).

Remission levelDefinitionComplete Remission(CR)No clinical and serological activity (SLEDAI-2K=0) in corticosteroid-free and immunosuppressant-free patients (antimalarials allowed)Clinical remission off-corticosteroids(ClR-GCoff)Serological activity with clinical quiescent disease according to SLEDAI-2K in corticosteroid-free patients (stable immunosuppressive therapy and antimalarials allowed)clinical remission on-corticosteroids(ClR-GCon)Clinical quiescent disease according to SLEDAI-2K in patients on prednisone 1–5 mg/day (stable immunosuppressants and antimalarials allowed)

Chronic damage was registered according to SLICC damage index (SDI). All the patients were evaluated at baseline (T0) and every 12 months (T1, T2, T3, T4). At each time-point, we calculated the prevalence of LupusCDC, defined as remission achievement plus absence of chronic damage progression in the previous one year. We calculated this outcome including separately the different remission levels.

Results:

According with inclusion criteria, 172 SLE patients were evaluated in the present analysis [M/F 16/156, median age 49 years (IQR 16.7), median disease duration 180 months (IQR 156)]. At first assessment, we observed a mean±SD SDI value of 0.7±1.1. In details, 56 patients (32.5%) showed damage in at least one organ/system and the presence of damage was significantly associated with age (p<0.0001, r=0.3) and disease duration (p=0.0003, r=0.3). During the follow-up, we observed a significant increase in SDI values compared with T0 (T1: mean±DS 0.8±1.3, p<0.0001; T2: 0.8±1.4, p<0.0001; T3: 0.9±1.4 p=0.0001; T4: 1.0±1.5 p<0.0001).

In figure 1A and 1B we reported the proportion of patients achieving the different levels of remission and LupusCDC, respectively. In particular, the LupusCDC definition including CR was the most frequently detected in all time-points evaluated (T1: 18.0%; T2: 31.9%; T3: 27.9%; T4: 24.4%), with a significant difference at T2 [LupusCDC(CR)versusLupusCDC(ClR-GCoff), p=0.0002; LupusCDC(CR)versusLupusCDC(ClR-GCon) p=0.0002)], T3 [LupusCDC(CR)versusLupusCDC(ClR-GCoff), p=0.03; LupusCDC(CR)versusLupusCDC(ClR-GCon) p=0.006], T4 [LupusCDC(CR)versusLupusCDC(ClR-GCon), p=0.002]. No significant differences were found when comparing the prevalence of different remission levels and the prevalence of LupusCDC including the corresponding remission.

Conclusion:

In the present analysis we proposed for the first time a new index including disease activity and chronic damage, in order to evaluate the proportion of SLE patients reaching a comprehensive disease control. We found that CR is most frequently associated with the absence of damage progression.

References:

[1]Zen M et al. Ann Rheum Dis 2017.

Disclosure of Interests:

Fulvia Ceccarelli: None declared, Giulio Olivieri: None declared, Lorenzo Dominici: None declared, Alessandra Ida Celia: None declared, enrica cipriano: None declared, Cristina Garufi: None declared, Silvia Mancuso: None declared, Francesco Natalucci: None declared, Valeria Orefice: None declared, Carlo Perricone: None declared, Carmelo Pirone: None declared, viviana antonella pacucci: None declared, Francesca Morello: None declared, Simona Truglia: None declared, Francesca Miranda: None declared, Francesca Romana Spinelli Grant/research support from: Pfizer, Consultant of: Novartis, Gilead, Lilly, Sanofi, Celgene, Speakers bureau: Lilly, cristiano alessandri Grant/research support from: Pfizer, fabrizio conti Speakers bureau: BMS, Lilly, Abbvie, Pfizer, Sanofi

Staphylococcus aureus Nasal Carriage and Autoimmune Diseases: From Pathogenic Mechanisms to Disease Susceptibility and Phenotype

The role of infective agents in autoimmune diseases (ADs) development has been historically investigated, but in the last years has been strongly reconsidered due to the interest in the link between the microbiome and ADs. Together with the gut, the skin microbiome is characterized by the presence of several microorganisms, potentially influencing innate and adaptive immune response. S. aureus is one of the most important components of the skin microbiome that can colonize anterior nares without clinical manifestations. Data from the literature demonstrates a significantly higher prevalence of nasal colonization in ADs patients in comparison with healthy subjects, suggesting a possible role in terms of disease development and phenotypes. Thus, in the present narrative review we focused on the mechanisms by which S. aureus could influence the immune response and on its relationship with ADs, in particular granulomatosis with polyangiitis, rheumatoid arthritis, and systemic lupus erythematosus.

Musculoskeletal ultrasound in monitoring response to apremilast in psoriatic arthritis patients: results from a longitudinal study

INTRODUCTION/OBJECTIVE

Apremilast, PDE4 competitive inhibitor, has been recently introduced in the treatment of adult psoriatic arthritis (PsA) patients, but only preliminary data are available on imaging evaluation. Thus, we evaluated the response to apremilast in PsA patients by ultrasonographic (US) assessment.

METHODS

Thirty-four patients (M/F 7/27; median age 61 years, IQR 15; median disease duration 10 years, IQR 13) treated for polyarticular involvement were longitudinally evaluated. All the patients were assessed at baseline (T0), and after 6 (T1), 12 (T2), and 24 weeks (T3) by DAS28, CDAI, SDAI, and DAPSA. At the same time-points, US assessment was performed in 22 sites (wrists, MCPs, PIPs): synovial effusion/hypertrophy and power Doppler were scored with a semi-quantitative scale (0-3). A total score, corresponding to patient's inflammatory status, was obtained by their sum (0-198). We assessed also the presence of tenosynovitis of flexor _tendons of hands' fingers bilaterally, registering the number of involved tendons (US-tenosynovitis score 0-10).

RESULTS

We found a significant reduction in the US inflammatory score values after 6 weeks (T0, median 15 (IQR 11.2); T1, 6 (10.0); P = 0.0002), confirmed at T2 (4.0 (4.0), P = 0.0002) and T3 (4.0 (6.0); P = 0.0003). Finally, US-detected tenosynovitis was observed in 44.1% of patients: a significant improvement in tenosynovitis score was identified at 6 weeks (T0, median 4 (IQR 4); T1, 1 (2); P < 0.0001) and maintained at T2 (0 (IQR 1); P < 0.0001) and T3 ((IQR 1.25); P < 0.0001).

CONCLUSIONS

Apremilast is able to induce an early and sustained improvement of ultrasonographic inflammatory status at articular and peri-articular level. Key points •Apremilast induces a significant, early, and sustained improvement of inflammatory joint status in psoriatic arthritis patients. •Ultrasonographic assessment is able to monitor articular and peri-articular response to apremilast.

Anti-D4GDI antibodies activate platelets in vitro: a possible link with thrombocytopenia in primary antiphospholipid syndrome

Background

Thrombocytopenia is a manifestation associated with primary antiphospholipid syndrome (PAPS), and many studies have stressed the leading role played by platelets in the pathogenesis of antiphospholipid syndrome (APS). Platelets are highly specialized cells, and their activation involves a series of rapid rearrangements of the actin cytoskeleton. Recently, we described the presence of autoantibodies against D4GDI (Rho GDP dissociation inhibitor beta, ARHGDIB) in the serum of a large subset of SLE patients, and we observed that anti-D4GDI antibodies activated the cytoskeleton remodeling of lymphocytes by inhibiting D4GDI and allowing the upregulation of Rho GTPases, such as Rac1. Proteomic and transcriptomic studies indicate that D4GDI is very abundant in platelets, and small GTPases of the RHO family are critical regulators of actin dynamics in platelets.

Methods

We enrolled 38 PAPS patients, 15 patients carrying only antiphospholipid antibodies without clinical criteria of APS (aPL carriers) and 20 normal healthy subjects. Sera were stored at − 20 °C to perform an ELISA test to evaluate the presence of anti-D4GDI antibodies. Then, we purified autoantibodies anti-D4GDI from patient sera. These antibodies were used to conduct in vitro studies on platelet activation.

Results

We identified anti-D4GDI antibodies in sera from 18/38 (47%) patients with PAPS, in sera from 2/15(13%) aPL carriers, but in no sera from normal healthy subjects. Our in vitro results showed a significant 30% increase in the activation of integrin αIIbβ3 upon stimulation of platelets from healthy donors preincubated with the antibody anti-D4GDI purified from the serum of APS patients.

Conclusions

In conclusion, we show here that antibodies anti-D4GDI are present in the sera of PAPS patients and can prime platelet activation, explaining, at least in part, the pro-thrombotic state and the thrombocytopenia of PAPS patients. These findings may lead to improved diagnosis and treatment of APS.

Usefulness of composite indices in the assessment of joint involvement in systemic lupus erythematosus patients: correlation with ultrasonographic score

Specific indices are not available to evaluate systemic lupus erythematosus (SLE) joint involvement; indeed, the application of indices validated for rheumatoid arthritis has been suggested. We evaluated the usefulness of organ specific composite indices, i.e. the Disease Activity Score on 28 joints (DAS28), Simplified Disease Activity Index (SDAI), Clinical Disease Activity Index (CDAI), and the ratio of swollen to tender joints (STR), to assess SLE joint activity by analyzing the correlation between these indices and ultrasonography (US) inflammatory status. We evaluated SLE patients with arthralgia and/or arthritis: the above-mentioned indices were calculated and the SLE Disease Activity Index 2000 (SLEDAI-2k) was applied to assess global disease activity. US of I-V metacarpophalangeal, I-V proximal interphalangeal, wrist, and knee bilateral was performed. Synovial effusion/hypertrophy and power Doppler findings were scored according to a semi-quantitative scale (0-3) to obtain an inflammatory total score (0-216). One hundred and six patients (M/F 7/99, median age 49.5 years (IQR 17.0), median disease duration 8.5 years (IQR 17.0)) were enrolled. We identified a positive correlation between US score and DAS28-CRP ( r = 0.3, p = 0.007), STR ( r = 0.42, p = 0.0005), SDAI ( r = 0.33, p = 0.02), CDAI ( r = 0.29, p = 0.03); US score reflected different levels of clinimetric joint activity. In conclusion, we suggest the ability of composite indices in detecting SLE joint inflammation and their possible real-life use.

Biomarkers of erosive arthritis in systemic lupus erythematosus: Application of machine learning models

OBJECTIVE

Limited evidences are available on biomarkers to recognize Systemic Lupus erythematosus (SLE) patients at risk to develop erosive arthritis. Anti-citrullinated peptide antibodies (ACPA) have been widely investigated and identified in up to 50% of X-ray detected erosive arthritis; conversely, few studies evaluated anti-carbamylated proteins antibodies (anti-CarP). Here, we considered the application of machine learning models to identify relevant factors in the development of ultrasonography (US)-detected erosive damage in a large cohort of SLE patients with joint involvement.

METHODS

We enrolled consecutive SLE patients with arthritis/arthralgia. All patients underwent joint (DAS28, STR) and laboratory assessment (detection of ACPA, anti-CarP, Rheumatoid Factor, SLE-related antibodies). The bone surfaces of metacarpophalangeal and proximal interphalangeal joints were assessed by US: the presence of erosions was registered with a dichotomous value (0/1), obtaining a total score (0-20). Concerning machine learning techniques, we applied and compared Logistic Regression and Decision Trees in conjunction with the feature selection Forward Wrapper method.

RESULTS

We enrolled 120 SLE patients [M/F 8/112, median age 47.0 years (IQR 15.0); median disease duration 120.0 months (IQR 156.0)], 73.3% of them referring at least one episode of arthritis. Erosive damage was identified in 25.8% of patients (mean±SD 0.7±1.6), all of them with clinically evident arthritis. We applied Logistic Regression in conjunction with the Forward Wrapper method, obtaining an AUC value of 0.806±0.02. As a result of the learning procedure, we evaluated the relevance of the different factors: this value was higher than 35% for ACPA and anti-CarP.

CONCLUSION

The application of Machine Learning Models allowed to identify factors associated with US-detected erosive bone damage in a large SLE cohort and their relevance in determining this phenotype. Although the scope of this study is limited by the small sample size and its cross-sectional nature, the results suggest the relevance of ACPA and anti-CarP antibodies in the development of erosive damage as also pointed out in other studies.

Anti-carbamylated protein antibodies as a new biomarker of erosive joint damage in systemic lupus erythematosus

Background

The application of more sensitive imaging techniques, such as ultrasonography (US), changed the concept of non-erosive arthritis in systemic lupus erythematosus (SLE), underlining the need for biomarkers to identify patients developing the erosive phenotype. Anti-citrullinated peptide antibodies (ACPA), associated with erosions in inflammatory arthritis, have been identified in about 50% of patients with SLE with erosive arthritis. More recently, anti-carbamylated proteins antibodies (anti-CarP) have been associated with erosive damage in rheumatoid arthritis. We aimed to assess the association between anti-CarP and erosive damage in a large SLE cohort with joint involvement.

Methods

We evaluated 152 patients (male/female patients 11/141; median age 46 years, IQR 16; median disease duration 108 months, IQR 168). All patients underwent blood draw to detect rheumatoid factor (RF) and ACPA (commercial enzyme-linked immunosorbent assay (ELISA) kit), and anti-CarP (“home-made” ELISA, cutoff 340 aU/mL). The bone surfaces of the metacarpophalangeal and proximal interphalangeal joints were assessed by US: the presence of erosions was registered as a dichotomous value (0/1), obtaining a total score (0–20).

Results

The prevalence of anti-CarP was 28.3%, similar to RF (27.6%) and significantly higher than ACPA (11.2%, p = 0.003). Erosive arthritis was identified in 25.6% of patients: this phenotype was significantly associated with anti-CarP (p = 0.004). Significant correlation between anti-CarP titer and US erosive score was observed (r = 0.2, p = 0.01).

Conclusions

Significant association was identified between anti-CarP and erosive damage in SLE-related arthritis, in terms of frequency and severity, suggesting that these antibodies can represent a biomarker of severity in patients with SLE with joint involvement.

Jaccoud's arthropathy in systemic lupus erythematosus: clinical, laboratory and ultrasonographic features

OBJECTIVES

Jaccoud's arthropathy (JA) is a deforming, non-erosive arthritis, occurring in 2-35% of systemic lupus erythematosus (SLE) patients. We aimed to evaluate JA patients in a wide monocentric SLE cohort in terms of clinical, serological and ultrasonographic features.

METHODS

Consecutive SLE patients (ACR criteria 1997) were evaluated. The JA index was applied for patients with reducible deformities. Patients with a JA index ≥5 underwent physical examination, blood testing and ultrasound (US) assessment. Detection of anti-citrullinated protein antibodies (ACPA) and rheumatoid factor (RF) was performed. A single rheumatologist performed the US assessment of bilateral wrist and hands.

RESULTS

Four hundred and eighty SLE patients were evaluated: 17 (3.5%) showed a JA index ≥5 (M:F 1:16; mean age±SD 50.7±11.1 years; mean disease duration±SD 247.8±116.2 months). Four patients (23.5%) showed ACPA positivity. Fifteen patients (88.2%) showed at least one US abnormality. Bone erosions were found in 10 patients (58.8%). ACPA+ve patients showed erosive damage more frequently in at least one joint compared with ACPA-ve (75% vs. 53.8%, p=0.002).

CONCLUSIONS

JA should no longer be considered a non-erosive condition since bone damage can occur in more than half of patients. Moreover, the erosive damage seems to be associated with the presence of ACPA.

Anti-carbamylated protein antibodies in systemic lupus erythematosus patients with articular involvement

Objective Several studies have evaluated the prevalence of rheumatoid factor (RF) and anti-citrullinated proteins antibodies (ACPA) in systemic lupus erythematosus (SLE) patients but no data are available on the anti-carbamylated proteins (anti-CarP), a new biomarker for rheumatoid arthritis (RA). We evaluated the anti-CarP prevalence in SLE patients with joint involvement and the associations with different phenotypes. Methods Seventy-eight SLE patients with joint involvement were enrolled (F/M 73/5; mean ± SD age 47.6 ± 11.2 years; mean ± SD disease duration 214.3 ± 115.6 months). As control groups, we evaluated SLE patients without joint manifestations ( N = 15), RA ( N = 78) and healthy individuals (HS, N = 98). Anti-CarP were assessed by home-made ELISA in all patients and controls, RF and ACPA in SLE patients with joint involvement (commercial ELISA kit). Results The prevalence of anti-CarP in SLE patients with joint involvement was similar to RA ( p = NS) and significantly higher compared with SLE without joint involvement and HS ( p < 0.0001, p < 0.0001, respectively). Four patients were positive for all three antibodies: seventy-five percent of these showed Jaccoud arthropathy. Fourty-five percent of ACPA-ve/RF-ve patients were anti-CarP + ve. Conclusions The evaluation of anti-CarP in SLE joint involvement demonstrated a prevalence of almost 50%, similar to RA and significantly higher than SLE without joint involvement and HS.

Prediction of chronic damage in systemic lupus erythematosus by using machine-learning models

Objective

The increased survival in Systemic Lupus Erythematosus (SLE) patients implies the development of chronic damage, occurring in up to 50% of cases. Its prevention is a major goal in the SLE management. We aimed at predicting chronic damage in a large monocentric SLE cohort by using neural networks.

Methods

We enrolled 413 SLE patients (M/F 30/383; mean age ± SD 46.3±11.9 years; mean disease duration ± SD 174.6 ± 112.1 months). Chronic damage was assessed by the SLICC/ACR Damage Index (SDI). We applied Recurrent Neural Networks (RNNs) as a machine-learning model to predict the risk of chronic damage. The clinical data sequences registered for each patient during the follow-up were used for building and testing the RNNs.

Results

At the first visit in the Lupus Clinic, 35.8% of patients had an SDI≥1. For the RNN model, two groups of patients were analyzed: patients with SDI = 0 at the baseline, developing damage during the follow-up (N = 38), and patients without damage (SDI = 0). We created a mathematical model with an AUC value of 0.77, able to predict damage development. A threshold value of 0.35 (sensitivity 0.74, specificity 0.76) seemed able to identify patients at risk to develop damage.

Conclusion

We applied RNNs to identify a prediction model for SLE chronic damage. The use of the longitudinal data from the Sapienza Lupus Cohort, including laboratory and clinical items, resulted able to construct a mathematical model, potentially identifying patients at risk to develop damage.

A polymorphism upstream MIR1279 gene is associated with pericarditis development in Systemic Lupus Erythematosus and contributes to definition of a genetic risk profile for this complication

Recently, a study has shown that a polymorphism in the region of MIR1279 modulates the expression of the TRAF3IP2 gene. Since polymorphisms in the TRAF3IP2 gene have been described in association with systemic lupus erithematosus (SLE) susceptibility and with the development of pericarditis, our aim is to verify if the MIR1279 gene variability could also be involved. The rs1463335 SNP, located upstream MIR1279 gene, was analyzed by allelic discrimination assay in 315 Italian SLE patients and 201 healthy controls. Moreover, the MIR1279 gene was full sequenced in 50 patients. A case/control association study and a genotype/phenotype correlation analysis were performed. We also constructed a pericarditis genetic risk profile for patients with SLE. The full sequencing of the MIR1279 gene in patients with SLE did not reveal any novel or known variation. The variant allele of the rs1463335 SNP was significantly associated with susceptibility to pericarditis ( P = 0.017 and OR = 1.67). A risk profile model for pericarditis considering the risk alleles of MIR1279 and three other genes (STAT4, PTPN2 and TRAF3IP2) showed that patients with 4 or 5 risk alleles have a higher risk of developing pericarditis ( OR = 4.09 with P = 0.001 and OR = 6.04 with P = 0.04 respectively). In conclusion, we describe for the first time the contribution of a MIR1279 SNP in pericarditis development in patients with SLE and a genetic risk profile model that could be useful to identify patients more susceptible to developing pericarditis in SLE. This approach could help to improve the prediction and the management of this complication.

Joint involvement in patients affected by systemic lupus erythematosus: application of the swollen to tender joint count ratio

Joint involvement is a common manifestation in systemic lupus erythematosus (SLE). According to the SLE disease activity index 2000 (SLEDAI-2K), joint involvement is present in case of ≥2 joints with pain and signs of inflammation. However this definition could fail to catch all the various features of joint involvement. Alternatively the Swollen to Tender joint Ratio (STR) could be used. This new index, which was originally proposed for rheumatoid arthritis (RA) patients, is based on the count of 28 swollen and tender joints. Our study is, therefore, aimed to assess joint involvement in a SLE cohort using the STR. SLE patients with joint symptoms (≥1 tender joint) were enrolled over a period of one month. Disease activity was assessed by SLEDAI-2K. We performed the swollen and tender joint count (0-28) and calculated the STR. Depending on the STR, SLE patients were grouped into three categories of disease activity: low (STR1.0). We also calculated the disease activity score based on a 28-joint count and the erythrocyte sedimentation rate (DAS28-ESR). We enrolled 100 SLE patients [F/M 95/5, mean±standard deviation (SD) age 46.3±10.6 years, mean±SD disease duration 147.1±103.8 months]. The median of tender and swollen joints was 4 (IQR 7) and 1 (IQR 2.5), respectively. The median STR value was 0.03 (IQR 0.6). According to the STR, disease activity was low in 70 patients, moderate in 23 and high in 7. A significant correlation was identified between STR values and DAS28 (r=0.33, p=0.001). The present study suggests a correlation between STR and DAS28, allowing an easier and faster assessment of joint involvement with the former index.

Assessment of disease activity in Systemic Lupus Erythematosus: Lights and shadows

The assessment of disease activity in patients affected by Systemic Lupus Erythematosus (SLE) represents an important issue, as recommended by the European League Against Rheumatism (EULAR). Two main types of disease activity measure have been proposed: the global score systems, providing an overall measure of activity, and the individual organ/system assessment scales, assessing disease activity in different organs. All the activity indices included both clinical and laboratory items, related to the disease manifestations. However, there is no gold standard to measure disease activity in patients affected by SLE. In this review, we will analyze the lights and shadows of the disease activity indices, by means of a critical approach. In particular, we will focus on SLE Disease Activity Index (SLEDAI) and British Isles Lupus Assessment Group (BILAG), the most frequently used in randomized controlled trials and observational studies. The evaluation of data from the literature underlined some limitations of these indices, making their application in clinical practice difficult and suggesting the possible use of specific tools in the different subset of SLE patients, in order to capture all the disease features.

The role of disease activity score 28 in the evaluation of articular involvement in systemic lupus erythematosus

OBJECTIVES

To evaluate the application of Disease Activity Score 28 (DAS28) to assess joint involvement in Systemic Lupus Erythematosus (SLE).

METHODS

Sixty-nine SLE patients, complaining of joint symptoms, and 44 rheumatoid arthritis (RA) patients were enrolled. In SLE patients disease activity was assessed with SLEDAI-2K. DAS28 was calculated in all the patients.

RESULTS

Thirty SLE patients (43.5%) showed clinical signs of arthritis. Mean DAS28 was 4.0±1.4, 22 patients (31.9%) had low disease activity, 29 (42.0%) moderate, and 18 (26.1%) high. We dichotomized SLE patients according to the presence (Group 1) or absence (Group 2) of articular involvement according to SLEDAI-2K: 56.3% of the patients of the second group had a moderate/high activity according to DAS28. We compared SLE patients with 44 RA patients (M/F 9/35, mean age 55.6±14.5 years; mean disease duration 140.4±105.6 months). No significant differences were found regarding the values of DAS28 between SLE and RA patients. On the contrary, the values of tender and swollen joint count were significantly higher in RA compared to SLE patients (P=0.0002 and P=0.0001, resp.).

CONCLUSIONS

We suggest the use of the DAS28 in the assessment of joint involvement in SLE patients.

Biological therapies in rheumatic diseases

The development of the biological drugs has revolutionized the therapeutic approach of the chronic inflammatory rheumatic diseases, particularly in patients resistant to standard treatment. These drugs are characterized by an innovative mechanism of action, based on the targeted inhibition of specific molecular or cellular targets directly involved in the pathogenesis of the diseases: pro-inflammatory cytokines (tumor necrosis factor, interleukin-1 and 6), CTLA-4, and molecules involved in the activation, differentiation and maturation of B cells. Their use has indeed allowed for a better prognosis in several rheumatic diseases (such as rheumatoid arthritis, psoriatic arthritis, ankylosing spondylitis, systemic lupus erythematosus) and to obtain a clinical remission. In the present review we give an overview of the biological drugs currently available for the treatment of the rheumatic diseases, analyzing the different mechanism of action, the therapeutic indications and efficacy data, and adverse events.

Evaluation of the patient acceptable symptom state (PASS) in Italian patients affected by systemic lupus erythematosus: association with disease activity indices

Objectives

The aim of this study was to evaluate the discriminant capability of the patient acceptable symptom state (PASS) according to disease activity, in a cohort of Italian patients affected by systemic Lupus erythematosus (SLE).

Methods

Consecutive SLE patients were enrolled. At each visit, the patients underwent a complete physical examination and the clinical/laboratory data were collected in a standardized, computerized, and electronically-filled form. The evaluation of serum complement C3 and C4 levels and determination of autoantibodies was obtained. Disease activity was assessed with the SLEDAI-2K and ECLAM, while chronic damage was measured with the SLICC. Finally, PASS was assessed in all patients by asking to answer yes or no to a single question.

Results

One hundred sixty-five patients were enrolled (M/F 12/153; mean age 40.4±11.8 years, mean disease duration 109.1±96.2 months). No patients refused to answer, suggesting the acceptability of PASS. A total of 80% of patients rated their state as acceptable. The patients with an acceptable status had significantly lower mean SLEDAI-2K and ECLAM scores than the others [1.8±2.7 versus 3.4±2.3(P=0.004); 0.7±0.9 versus 1.4±1.1(P=0.0027)]. No significant differences were observed when considering chronic damage, evaluated with SLICC.

Conclusions

In the clinical practice, SLE patients assessment performed by using complex disease activity indices such as SLEDAI-2K and ECLAM, could be time consuming. In our study, for the first time, we used PASS, a quick and easily comprehensible tool, to evaluate the patients’ status, this single question seems to be able to discriminate patients with different disease activity, especially when this is determined by musculoskeletal involvement.

TRAF3IP2 gene and systemic lupus erythematosus: association with disease susceptibility and pericarditis development

Systemic lupus erythematosus (SLE) is a multifactorial autoimmune disease. Although genetic factors confer susceptibility to the disease, only 15 % of the genetic contribution has been identified. TRAF3IP2 gene, associated with susceptibility to psoriatic arthritis and psoriasis, encodes for Act1, a negative regulator of adaptive immunity and a positive signaling adaptor in IL-17-mediated immune responses. The aim of this study was to assess the role of TRAF3IP2 gene variability in SLE susceptibility and disease phenotype in an Italian population. Two hundred thirty-nine consecutive SLE patients were enrolled. Study protocol included complete physical examination; the clinical and laboratory data were collected. Two hundred seventy-eight age- and ethnicity-matched healthy subjects served as controls. TRAF3IP2 polymorphisms (rs33980500, rs13190932, and rs13193677) were analyzed in both cases and controls. Genotype analysis was performed by allelic discrimination assays. A case-control association study and a genotype-phenotype correlation were performed. The rs33980500 and rs13193677 resulted significantly associated with SLE susceptibility (P = 0.021, odds ratio (OR) = 1.71, and P = 0.046, OR = 1.73, respectively). All three TRAF3IP2 single nucleotide polymorphisms resulted associated with the development of pericarditis; in particular, rs33980500 showed the strongest association (P = 0.002, OR 2.59). This association was further highlighted by binary logistic regression analysis. In conclusion, our data show for the first time the contribution of TRAF3IP2 genetic variability in SLE susceptibility, providing further suggestions that common variation in genes that function in the adaptive and innate arms of the immune system are important in establishing SLE risk. Our study also shows that this gene may affect disease phenotype and, particularly, the occurrence of pericarditis.