scholarly journals FRI0226 OPTICAL COHERENCE TOMOGRAPHY OF THE SKIN DETECTS SCLERODERMA CHANGES IN CLINICALLY UNAFFECTED SKIN: AN OPPORTUNITY FOR EARLY DETECTION OF SYSTEMIC SCLEROSIS

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 696.2-696
Author(s):  
G. Abignano ◽  
D. Temiz Karadağ ◽  
O. Gundogdu ◽  
G. Lettieri ◽  
M. C. Padula ◽  
...  
Keyword(s):  
At Risk ◽  
Clinical Trials ◽  
Optical Coherence Tomography ◽  
Systemic Sclerosis ◽  
Early Detection ◽  
Classification Criteria ◽  
Healthy Controls ◽  
Optical Coherence ◽  
Risk Patients ◽  
Unaffected Skin

Background:The Very Early Diagnosis Of Systemic Sclerosis (VEDOSS) study has shown that 82% of patients with Raynaud’s Phenomenon, specific ANA positivity and scleroderma pattern at nail fold videocapillaroscopy will fulfil classification criteria within 5 years. This is suggesting that there is a subclinical window of opportunity to diagnose systemic sclerosis (SSc) before clinical manifestations occur. In this scenario, a non-invasive tool to diagnose SSc in clinically unaffected skin might improve the early detection of disease in at risk-patients. Optical coherence tomography (OCT) of the skin has been shown to be a sensitive and accurate biomarker of skin fibrosis in SSc.Objectives:Here we aimed to assess the ability of skin OCT to “detect” SSc in clinically unaffected skin from a multicentre cohort.Methods:Dorsal forearm skin of SSc patients and matched-healthy controls (HC) was evaluated using VivoSight scanner (Michelson Diagnostics). Mean A-scans (mean OCT signal plotted against depth-in-tissue) were derived as previously described. Minimum Optical Density (MinOD), Maximum OD (MaxOD) and OD at 300 micron-depth (OD300) were calculated. Clinical involvement was assessed by an operator blinded to OCT findings using the mRSS. Receiver-operating characteristic (ROC) curve analysis was carried out for MinOD, MaxOD, and OD300 to evaluate their ability to discriminate between SSc and HC. Statistical analysis was performed using GraphPad Prism software V.7.0.Results:One hundred seventy four OCT images were collected from 87 subjects [43 SSc (39 Female, mean age 49.7±9.1 years) and 44 gender/age-matched healthy controls (HC) (36 Female, mean age 50.2±8.3 years)] in two different SSc centres. All patients fulfilled classification criteria for SSc. OCT measures demonstrated discriminative ability in SSc skin detection with any clinical skin involvement (0-3 at site of analysis) with an AUC of 0.73 (MinOD, 95%CI 0.64-0.81), 0.77 (MaxOD, 95%CI 0.7-0.85) and 0.82 (OD300, 95%CI 0.76-0.89); p<0.0001 for all as previously indicated. Most importantly, all three measures showed comparable performance in detecting scleroderma also in clinically unaffected skin (mRss=0 at site of analysis), with an AUC of 0.7 (95%CI 0.6-0.81, p=0.001), 0.72 (95%CI 0.61-0.83, p=0.0003) and 0.72 (95%CI 0.61-0.83, p=0.0003) for MinOD, MaxOD and OD300 respectively.Conclusion:Virtual biopsy by OCT recognises clinically unaffected skin of SSc patients from the HC skin. This is consistent with gene array data showing that scleroderma specific signatures are consistent in affected and clinically unaffected skin. These results inform future studies on at risk patients with clinically unaffected skin which may define a role for OCT in detecting subclinical SSc.Disclosure of Interests:Giuseppina Abignano: None declared, Duygu Temiz Karadağ: None declared, Ozcan Gundogdu: None declared, Giovanni Lettieri: None declared, Maria Carmela Padula: None declared, Angela Padula: None declared, Paul Emery Grant/research support from: AbbVie, Bristol-Myers Squibb, Merck Sharp & Dohme, Pfizer, Roche (all paid to employer), Consultant of: AbbVie (consultant, clinical trials, advisor), Bristol-Myers Squibb (consultant, clinical trials, advisor), Lilly (clinical trials, advisor), Merck Sharp & Dohme (consultant, clinical trials, advisor), Novartis (consultant, clinical trials, advisor), Pfizer (consultant, clinical trials, advisor), Roche (consultant, clinical trials, advisor), Samsung (clinical trials, advisor), Sandoz (clinical trials, advisor), UCB (consultant, clinical trials, advisor), Salvatore D’Angelo: None declared, Francesco Del Galdo: None declared

scholarly journals P161 Optical coherence tomography of the skin detects scleroderma changes in clinically unaffected skin: an opportunity for early detection of systemic sclerosis

Rheumatology ◽  
2020 ◽  
Vol 59 (Supplement_2) ◽  
Author(s):  
Giuseppina Abignano ◽  
Duygu Temiz Karadag ◽  
Ozcan Gundogdu ◽  
Giovanni Lettieri ◽  
Maria Carmela Padula ◽  
...  
Keyword(s):  
At Risk ◽  
Optical Coherence Tomography ◽  
Systemic Sclerosis ◽  
Early Detection ◽  
Classification Criteria ◽  
Healthy Controls ◽  
Optical Coherence ◽  
Early Detection Of Disease ◽  
Risk Patients ◽  
Unaffected Skin

Abstract Background The Very Early Diagnosis Of Systemic Sclerosis (VEDOSS) study has shown that 82% of patients with Raynaud’s phenomenon, specific ANA positivity and scleroderma pattern at nailfold video capillaroscopy will fulfill classification criteria within 5 years. This is suggesting that there is a sub-clinical window of opportunity to diagnose systemic sclerosis (SSc) before clinical manifestations occur. In this scenario, a non-invasive tool to diagnose SSc in clinically unaffected skin might improve the early detection of disease in at risk-patients. Optical coherence tomography (OCT) of the skin has been shown to be a sensitive and accurate biomarker of skin fibrosis in SSc. Here we aimed to assess the ability of skin OCT to detect SSc in clinically unaffected skin from a multicentre cohort. Methods Dorsal forearm skin of SSc patients and matched-healthy controls (HC) was evaluated using VivoSight scanner (Michelson Diagnostics). Mean A-scans (mean OCT signal plotted against depth-in-tissue) were derived as previously described. Minimum Optical Density (MinOD), Maximum OD (MaxOD) and OD at 300 micron-depth (OD300) were calculated. Clinical involvement was assessed by an operator blinded to OCT findings using the mRSS. Receiver-operating characteristic (ROC) curve analysis was carried out for MinOD, MaxOD, and OD300 to evaluate their ability to discriminate between SSc and HC. Statistical analysis was performed using GraphPad Prism software V.7.0. Results One hundred seventy four OCT images were collected from 87 subjects [43 SSc (39 Female, mean age 49.7±9.1 years) and 44 gender/age-matched healthy controls (HC) (36 Female, mean age 50.2±8.3 years)] in two different SSc centres. All patients fulfilled classification criteria for SSc. OCT measures demonstrated discriminative ability in SSc skin detection with any clinical skin involvement (0-3 at site of analysis) with an AUC of 0.73 (MinOD, 95%CI 0.64-0.81), 0.77 (MaxOD, 95%CI 0.7-0.85) and 0.82 (OD300, 95%CI 0.76-0.89); p &lt; 0.0001 for all as previously indicated. Most importantly, all three measures showed comparable performance in detecting scleroderma also in clinically unaffected skin (mRss=0 at site of analysis), with an AUC of 0.7 (95%CI 0.6-0.81, p = 0.001), 0.72 (95%CI 0.61-0.83, p = 0.0003) and 0.72 (95%CI 0.61-0.83, p = 0.0003) for MinOD, MaxOD and OD300 respectively. Conclusion Virtual biopsy by OCT recognises clinically unaffected skin of SSc patients from the HC skin. This is consistent with gene array data showing that scleroderma specific signatures are consistent in affected and clinically unaffected skin. These results inform future studies on at risk patients with clinically unaffected skin which may define a role for OCT in detecting subclinical SSc. Disclosures G. Abignano None. D. Temiz Karadag None. O. Gundogdu None. G. Lettieri None. M. Padula None. A.A. Padula None. P. Emery None. S. D'Angelo None. F. Del Galdo None.

Differential expression of hepatocyte growth factor in patients with systemic sclerosis-associated pulmonary arterial hypertension

2017 ◽  
Vol 2 (3) ◽  
pp. 225-230
Author(s):  
Yon K. Sung ◽  
Roham T. Zamanian ◽  
Catriona A. Wagner ◽  
William Robinson ◽  
Virginia Steen ◽  
...  
Keyword(s):  
At Risk ◽  
Systemic Sclerosis ◽  
Growth Factor ◽  
Pulmonary Arterial Hypertension ◽  
High Risk ◽  
Hepatocyte Growth Factor ◽  
Arterial Hypertension ◽  
Risk Patients ◽  
Pulmonary Arterial ◽  
Hepatocyte Growth

Introduction Non-invasive biomarkers are needed to identify pulmonary arterial hypertension (PAH) in systemic sclerosis (SSc) patients who may benefit from early intervention. We sought to identify novel cytokines that differentiate patients with incident SSc-PAH from those at high risk for PAH. Methods The Pulmonary Hypertension Assessment and Recognition of Outcomes in Scleroderma (PHAROS) Registry is a multicenter registry of SSc patients at high risk for PAH (at-risk) or with incident right-heart catheterization-confirmed PAH (definite PAH). Serum from 10 at-risk and 9 definite PAH patients were profiled with Bio-PlexTM bead arrays for 48 cytokines and chemokines. We also evaluated the longitudinal change in cytokine profiles from 3 at-risk patients who subsequently developed definite PAH. Results Clinical features of at-risk versus definite PAH patients were not significantly different except for right-ventricular systolic pressure on echocardiogram (34 ± 7 vs. 45 ± 8 mmHg, p = 0.006), left atrial diameter (2.9 ± 0.5 vs. 3.7 ± 0.4 cm, p = 0.02), 6-minute walk distance (508 ± 115 vs. 393 ± 70 m, p = 0.02), mean pulmonary artery pressure (18 ± 4 vs. 32 ± 6 mmHg, p = 0.01), and pulmonary vascular resistance (111 ± 48 vs. 272 ± 109 dyn/s/cm5, p = 0.009). Serum cytokine profiling identified hepatocyte growth factor (HGF) as the only cytokine significantly different between the at-risk and definite PAH groups (225.8 ± 55.0 vs. 361.6 ± 164.5 pg/mL, q<0.1%). Profiling of longitudinal samples of at-risk to definite PAH patients did not identify any significant changes in HGF or other cytokines over time. Conclusions Definite PAH patients expressed higher levels of HGF than at-risk patients. Further studies are needed to clarify the utility of HGF as a predictive biomarker for SSc-PAH.

Assessment of optic nerve head parameters using optical coherence tomography angiography in behçet uveitis patients with healthy controls

2020 ◽  
Vol 29 (2) ◽  
pp. 131
Author(s):  
Melike BALIKOGLU ◽  
Erdinc AYDIN ◽  
Pinar NALCACIOGLU ◽  
Nur DOGANAY KUMCU ◽  
Seher SARITEPE IMREL ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Optic Nerve ◽  
Optic Nerve Head ◽  
Optical Coherence Tomography Angiography ◽  
Healthy Controls ◽  
Optical Coherence

scholarly journals Spectral-domain optical coherence tomography in subjects over 60 years of age, and its implications for designing clinical trials

2012 ◽  
Vol 96 (10) ◽  
pp. 1325-1330 ◽  
Author(s):  
Albert Caramoy ◽  
Jonathan Foerster ◽  
Elvira Allakhiarova ◽  
Carel B Hoyng ◽  
Katharina Dröge ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Optical Coherence Tomography ◽  
Spectral Domain ◽  
Optical Coherence

scholarly journals Prognostic irrelevance of plaque vulnerability following plaque sealing in high-risk patients with type 2 diabetes: an optical coherence tomography study

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Rosalia Dettori ◽  
Andrea Milzi ◽  
Kathrin Burgmaier ◽  
Mohammad Almalla ◽  
Martin Hellmich ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Optical Coherence Tomography ◽  
High Risk ◽  
Clinical Parameters ◽  
Optical Coherence ◽  
Plaque Vulnerability ◽  
High Risk Patients ◽  
Risk Patients

Abstract Background Type 2 diabetes mellitus (T2DM) is associated with an increased cardiovascular risk related at least in part to a more vulnerable plaque phenotype. However, patients with T2DM exhibit also an increased risk following percutaneous coronary intervention (PCI). It is unknown if plaque vulnerability of a treated lesion influences cardiovascular outcomes in patients with T2DM. In this study, we aimed to assess the association of plaque morphology as determined by optical coherence tomography (OCT) with cardiovascular outcome following PCI in high-risk patients with T2DM. Methods 81 patients with T2DM and OCT-guided PCI were recruited. Pre-interventional OCT and systematic follow-up of median 66.0 (IQR = 8.0) months were performed. Results During follow-up, 24 patients (29.6%) died. The clinical parameters age (HR 1.16 per year, 95% CI 1.07–1.26, p < 0.001), diabetic polyneuropathy (HR 3.58, 95% CI 1.44–8.93, p = 0.006) and insulin therapy (HR 3.25, 95% CI 1.21–8.70, p = 0.019) predicted mortality in T2DM patients independently. Among OCT parameters only calcium-volume-index (HR 1.71 per 1000°*mm, 95% CI 1.21–2.41, p = 0.002) and lesion length (HR 1.93 per 10 mm, 95% CI 1.02–3.67, p = 0.044) as parameters describing atherosclerosis extent were significant independent predictors of mortality. However, classical features of plaque vulnerability, such as thickness of the fibrous cap, the extent of the necrotic lipid core and the presence of macrophages had no significant predictive value (all p = ns). Conclusion Clinical parameters including those describing diabetes severity as well as OCT-parameters characterizing atherosclerotic extent but not classical features of plaque vulnerability predict mortality in T2DM patients following PCI. These data suggest that PCI may provide effective plaque sealing resulting in limited importance of local target lesion vulnerability for future cardiovascular events in high-risk patients with T2DM.

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