Immunoglobulins in systemic sclerosis management. A large multicenter experience

OBJECTIVE

To analyze the effectiveness and safety of intravenous immunoglobulin (IVIG) given in routine care to patients with systemic sclerosis (SSc).

METHODS

A retrospective multicenter observational study was conducted in SSc patients treated with IVIG. We collected data on epidemiological parameters and clinical outcomes. Firstly, we assessed changes in organ manifestations during IVIG treatment. Secondly, we analyzed the frequency of adverse effects. The following parameters were collected from baseline to the last follow-up: the patient's weight, modified Rodnan Skin Score (mRSS), modified manual muscle strength scale (MRC), laboratory test(creatine kinase(CK), hemoglobin and protein levels), The University of California Los Angeles Scleroderma Clinical Trials Consortium gastrointestinal tract 2.0 (UCLA GIT 2.0) questionnaire, pulmonary function tests, and echocardiography.

RESULTS

Data were collected on 78 patients (82% females; 59% with diffuse SSc). Inflammatory idiopathic myopathy was the most frequent concomitant overlap disease (41%). The time since Raynaud's phenomenon and SSc onset were 8.8 ± 18 and 6.2 ± 6.7 years respectively. The most frequent IVIG indication was myositis (38/78), followed by gastrointestinal (27/78) and cutaneous (17/78) involvement. The median number of cycles given were 5. 54, 53 and 9 patients have been treated previously with glucocorticoids, synthetic disease-modifying antirheumatic drugs and biologic therapies respectively. After IVIG use we found significant improvements in muscular involvement (MRC ≥ 3/5 92% IVIG, p = 0.001 and CK levels from 1149 ± 2026 UI to 217 ± 224 UI, p = 0.02), mRSS (15 ± 12.4 to 13 ± 12.5, p = 0.015) and improvement in total score of UCLA GIT 2.0 (p = 0.05). None Anti-RNA polymerase III patients showed an adequate response in gastrointestinal involvement (0/7) in comparison with other antibodies (0 vs. 25, p = 0,039). Cardiorespiratory involvement remained stable. A total of 12 adverse events were reported with only one withdrawn due to serious adverse effect.

CONCLUSIONS

this study suggest that IVIG may improve myositis, gastrointestinal and skin involvement in SSc patients treated in routine care and seems to have a good safety profile.

POS1408 REPRODUCIBILITY OF A NEW AUTOMATIC SYSTEM (CAPILLARY.IO) IN THE ANALYSIS OF NAILFOLD CAPILLAROSCOPY IMAGES

Background:

Nailfold Capillaroscopy is a simple, inexpensive and non-invasive technique that allows microvascular damage to be observed, gaining recent importance in the diagnosis, monitoring and prognosis of many diseases with microangiopathy. However, the variability in the results interpretation has led to the development of new computerized systems that allow the automatic analysis of capillaroscopic images.

Objectives:

to compare the degree of agreement between the automatic system Capillary.io and a gold standard obtained from the agreement of 9 expert capillaroscopists and to know the degree of the interobserver reliability To demonstrate the validity of the system to detect normal and enlarged capillaries, hemorrhages, megacapillaries, ramifications and tortuosities.

Methods:

a cross-sectional study was performed in which 300 random and anonymous nailfold capillaroscopic images (1165 capillaries) were analyzed by 9 experienced observers. The degree of interobserver agreement was calculated from the 5 users. Likewise, the system performed an automatic assessment of the images and their agreement with the gold standard was calculated (interobserver agreement greater than 5, 6, 7, 8 and 9 successively). The validity of the program for each variable was also analyzed using sensitivity and specificity, positive and negative predictive values, and likelihood ratios, as well as their degree of agreement using the weighted kappa statistic (95% CI, p <0.05). The programs used for statistical calculations were SPSS 22.0 and EPIDAT 3.0.

Results:

the degree of interobserver agreement was 76.5% for the agreement of 5 or more observers, progressively decreasing to 15.4% for the 9 observers. Capillary.io obtained higher levels of agreement, reaching 97.7% for the 9 observers. Statistically significant results were obtained in the automated detection of all the morphological alterations analyzed Capillary.io presented a sensitivity (S) of 79.82% and a specificity (E) of 82% in the recognition of normal capillaries. The automatized system was able to recognize enlarged capillaries with a sensitivity of 86.97% and a specificity of 81.38%. Megacapillaries were detected with 89.41% sensitivity and 78.75% specificity. Similarly, the system was able to detect tortuosities (S 66.94%; E 67.71%), ramifications (S 54.34%; E 58.61%) and hemorrhages (S 71.36; E 73.97%).

Conclusion:

Capillary.io demonstrated a high degree of agreement with the gold standard, stronger with greater consensus among observers. It was able to detect with great sensitivity and specificity hemorrhages and megacapillaries, very relevant alterations in microangiopathies.

References:

[1]Roldán LMC, Franco CJV, Navas MAM. Capillaroscopy in systemic sclerosis: A narrative literature review. Rev Colomb Reumatol; 2016; 23: 250-8.

[2]Ingegnoli F, Gualtierotti R, Lubatti C, Bertolazzi C, Gutierrez M, Boracchi P, et al. Nailfold capillary patterns in healthy subjects: A real issue in capillaroscopy. Microvasc Res. 2013;90:90-5.

[3]Cutolo M, Pizzorni C, Secchi ME, Sulli A. Capillaroscopy. Best Pract Res Clin Rheumatol. 2008; 22:1093-108.

[4]Tavakol ME, Fatemi A, Karbalaie A, Emrani Z, Erlandsson BE. Nailfold Capillaroscopy in Rheumatic Diseases: Which Parameters Should Be Evaluated? BioMed Res Int. 2015; 2015: 974530.

[5]Smith V, Herrick AL, Ingegnoli F, Damjanov N, De Angelis R, Denton CP, et al. Standardisation of nailfold capillaroscopy for the assessment of patients with Raynaud’s phenomenon and systemic sclerosis. Autoimmunity Reviews. 2020; 19: 102458.

Disclosure of Interests:

Borja Gracia Tello Shareholder of: Co-founder and shareholder of Capillary.io., Eduardo Ramos Shareholder of: Co-founder and shareholder of Capillary.io., Carmen Pilar Simeón-Aznar: None declared, Vicent Fonollosa Pla: None declared, Alfredo Guillén-Del-Castillo: None declared, Albert Selva-O’Callaghan: None declared, Luis Sáez-Comet: None declared, Elena Martínez Robles: None declared, Juan José Rios: None declared, Gerard Espinosa: None declared, Jose Antonio Todolí Parra: None declared, Jose Luis Callejas-Rubio: None declared, Norberto Ortego: None declared, Begoña Marí-Alfonso: None declared, Mayka Freire: None declared, Patricia Fanlo: None declared

POS1409 AUTOMATED DETECTION OF SCLERODERMIFORM PATTERNS USING CAPILLARY.IO

Background:

A nailfold capillaroscopy procedure is a non-invasive, low-cost, and well-established examination that can be used to diagnose several rheumatic autoimmune diseases and support the necessary follow-up of patients. While the clinical implications of the technique are known, a rigorous and in-depth examination of nailfold capillaries remains as one of the major challenges to produce new advances in research and diagnosis, due to practical limitations for analysing the whole nailfold area of each patient. The difference between the different patterns established by Maricq and Cutolo makes it possible to predict the evolution that the patient will present. We introduce Capillary.io, an automatic image reading system able to recognize capillaries in images obtained with any microscope, generate automatic measurements of each capillary and take advantage of this information to report capillary morphology and patterns.

Objectives:

to determine the ability to detect active and early scerodermiform patterns of Capillary.io.

Methods:

Forty-nine complete capillaroscopies, reported by expert capillaroscopists according to the different patterns manually (gold standard), were compared with the pattern detection capability of Capillary.io. A scoring system based on the algorithm of the Spanish Capillaroscopy Study Group (GREC) was performed and interpreted by capillary.io for the global interpretation of each of the capillaroscopies analyzed.

Results:

Overall, 37 of the 49 capillaroscopies reported agreed with the diagnosed pattern (75.51%). Separately, the early pattern presented a concordance of 77.27% and the active pattern of 74.07%. In reference to the findings detected by the Capillary.io system, the mean overall density was 5.01 capillaries/mm in the group with the active pattern compared to 6.46 capillaries/mm in the early pattern. The density of dilations and megacapillaries was 2.81/mm and 1.21/mm in the active pattern group versus 4.69/mm and 0.4/mm in the early pattern group. Global diameters were greater in the active pattern group with an apical mean of 37.3 μm compared to 28.5 μm in the early pattern subgroup.

Conclusion:

Capillary.io is a simple, easy-to-learn web system for interpreting capillaroscopic images of nail folds. It can be a very useful tool to standardize the interpretation of capillaroscopic images, not only individually for each capillary, but also jointly through the detection of different patterns.

References:

[1]Chen K, Wang J, Pang J, Cao Y, Xiong Y, Li X, et al. MMDetection: Open MMLab Detection Toolbox and Benchmark. arXiv preprint arXiv:190607155 2019;.

[2]Cutolo M, Pizzorni C, Sulli A. Nailfold videocapillaroscopy assessment of microvascular damage in systemic sclerosis - Reply. The Journal of Rheumatology 2000 11;27:2722–2723.

[3]Cutolo M, Trombetta AC, Melsens K, Pizzorni C, Sulli A, Ruaro B, et al. Automated assessment of absolute nailfold capillary number on videocapillaroscopic images: Proof of principle and validation in systemic sclerosis. Microcirculation 2018 May;25(4):e12447.

[4]Smith V, Vanhaecke A, Herrick AL, Distler O, Guerra MG, Denton CP, et al. Fast track algorithm: How to differentiate a “scleroderma pattern” from a “non-scleroderma pattern”. Autoimmu- nity Reviews 2019 nov;18(11):102394.

[5]Tavakol ME, Fatemi A, Karbalaie A, Emrani Z, Erlandsson BE. Nailfold Capillaroscopy in Rheumatic Diseases: Which Parameters Should Be Evaluated? BioMed Research International 2015;2015:1–17.

Disclosure of Interests:

Eduardo Ramos Shareholder of: Co-founder and shareholder of Capillary.io, Alfredo Guillén-Del-Castillo: None declared, Carmen Pilar Simeón-Aznar: None declared, Borja Gracia Tello Shareholder of: Co-founder and shareholder of Capillary.io, Vicent Fonollosa Pla: None declared, Albert Selva-O’Callaghan: None declared, Luis Sáez-Comet: None declared, Elena Martínez Robles: None declared, Juan José Rios: None declared, Gerard Espinosa: None declared, Jose Antonio Todolí Parra: None declared, Jose Luis Callejas-Rubio: None declared, Norberto Ortego: None declared, Begoña Marí-Alfonso: None declared, Mayka Freire: None declared, Patricia Fanlo: None declared