Heart rate variability helps classify phenotype in systemic sclerosis.

We aimed to develop a systemic sclerosis (SSc) subtypes classifier tool to be used at the patient's bedside. We compared the heart rate variability (HRV) at rest (5-min) and in response to orthostatism (5-min) of patients (n = 58) having diffuse (n = 16, dcSSc) and limited (n = 38, lcSSc) cutaneous forms. The HRV was evaluated from the beat-to-beat RR intervals in time-, frequency-, and nonlinear-domains. The dcSSc group differed from the lcSSc group mainly by a higher heart rate (HR) and a lower HRV, in decubitus and orthostatism conditions. Stand-up maneuver lowered HR standard deviation (sd_HR), the major axis length of the fitted ellipse of Poincaré plot of RR intervals (SD2), and the correlation dimension (CorDim) in the dcSSc group while increased these HRV indexes in the lcSSc group (p = 0.004, p = 0.002, and p = 0.004, respectively). We identified the 5 most informative and discriminant HRV variables. We then compared 341 classifying models (1 to 5 variables combinations × 11 classifier algorithms) according to mean squared error, logloss, sensitivity, specificity, precision, accuracy, area under curve of the ROC-curves and F1-score. F1-score ranged from 0.823 for the best 1-variable model to a maximum of 0.947 for the 4-variables best model. Most specific and precise models included sd_HR, SD2, and CorDim. In conclusion, we provided high performance classifying models able to distinguish diffuse from limited cutaneous SSc subtypes easy to perform at the bedside from ECG recording. Models were based on 1 to 5 HRV indexes used as nonlinear markers of autonomic integrated influences on cardiac activity.

Immunologic and nonimmunologic sclerodermal skin conditions - review.

Scleroderma-like cutaneous lesions have been found in many pathological conditions and they have the clinical appearance of sclerotic or scleroatrophic lesions. Affected skin biopsies described histopathological changes similar to those of scleroderma located strictly on the skin or those of systemic sclerosis. These skin lesions can be found in inflammatory diseases with autoimmune substrate (generalized morphea, chronic graft versus host disease, eosinophilic fasciitis), tissue storage diseases (scleredema, scleromyxedema, nephrogenyc systemic fibrosis, systemic amyloidosis), metabolic diseases (porphyrya cutanea tarda, phenylketonuria, hypothyroidism, scleredema diabeticorum), progeroid syndromes. Given the multiple etiologies of sclerodermal lesions, a correct differential diagnosis is necessary to establish the appropriate treatment.

Novel classifications for systemic sclerosis: challenging historical subsets to unlock new doors.

PURPOSE OF REVIEW: Systemic sclerosis (SSc) is a severe rheumatic disease characterized by a considerable heterogeneity in clinical presentations and pathophysiological mechanisms. This variability has a substantial impact on morbidity and mortality and limits the generalizability of clinical trial results. This review aims to highlight recent studies that have proposed new innovative approaches to decipher this heterogeneity, in particular, by attempting to optimize disease classification. RECENT FINDINGS: The historical dichotomy limited/diffuse subsets based on cutaneous involvement has been challenged by studies highlighting an underestimated heterogeneity between these two subtypes and showing that presence of organ damage and autoantibody profiles markedly influenced survival beyond skin extension. Advanced computational methods using unsupervised machine learning analyses of clinical variables and/or high-throughput omics technologies, clinical variables trajectories modelling overtime or radiomics have provided significant insights on key pathogenic processes that could help defining new subgroups beyond the diffuse/limited subsets. SUMMARY: We can anticipate that a future classification of SSc patients will integrate innovative approaches encompassing clinical phenotypes, variables trajectories, serological features and innovative omics molecular signatures. It nevertheless seems crucial to also pursue the implementation and standardization of readily available and easy to use tools that can be used in clinical practice.

Paediatric morphoea: a holistic review. Part 1: epidemiology, aetiopathogenesis and clinical classification.

Morphoea, also known as localized scleroderma, is a debilitating fibrosing disorder of uncertain aetiology, affecting the skin and subcutaneous tissues. Paediatric-onset disease is not uncommon and is associated with frequent relapses. The disease has complex pathogenetic mechanisms and multiple clinical subtypes, and affects children of all ages. Recent research has focused on elucidating the disease pathophysiology and identifying measures of disease activity. We performed a literature search on PubMed, MEDLINE and Google Scholar, using keywords such as 'pediatric morphea', 'juvenile localised scleroderma' and 'juvenile systemic sclerosis'. Relevant studies, including randomized trials, reviews of standard current guidelines and original research articles, were selected, and results were analysed before being summarized. In the first of this two-part review, we provide a bird's-eye view of the current literature concerning the epidemiology, aetiopathogenesis and clinical classification of paediatric morphoea; in Part 2, we review the diagnosis, markers of disease activity, management and natural history.

Early trajectories of skin thickening are associated with severity and mortality in systemic sclerosis.

BACKGROUND: Systemic sclerosis (SSc) is a severe and highly heterogeneous disease. The modified Rodnan skin score (mRSS) is a widely used tool for the assessment of the extent and degree of skin thickness. This study aimed to identify the classes of patients with early similar skin thickening trajectories without any a priori assumptions and study their associations with organ involvement and survival. METHODS: From the French SSc national cohort, patients with a disease duration of less than 2 years at inclusion and with at least 2 mRSS available within the first 4 years of follow-up were enrolled. Classes of patients with similar mRSS trajectories were identified based on a latent class mixed model. The clinical characteristics and survival rate were compared between the obtained classes. RESULTS: A total of 198 patients fulfilled the inclusion criteria, with a total of 641 mRSS available. The median disease duration and follow-up were 0.8 (interquartile range 0.4; 1.2) and 6.3 (3.8; 8.9) years, respectively. Individual trajectories of mRSS were highly heterogeneous between patients. Models with 1-6 latent classes of trajectories were sequentially assessed, and the 5-class model represented the best fit to data. Each class was characterized by a unique global trajectory of mRSS. The median disease duration did not differ significantly between classes. Baseline organ involvement was more frequent in classes with significant change over time (classes 2-5) than in class 1 (low baseline mRSS without significant change over time). Using Cox regression, we observed a progressively increasing risk of death from classes 1 to 5. CONCLUSIONS: Early identification of clinical phenotype based on skin thickening trajectories could predict morbi-mortality in SSc. This study suggested that mRSS trajectories characterization might be pivotal for clinical practice and future trial designs.

Multidimensional tracking of phenotypes and organ involvement in a complete nationwide systemic sclerosis cohort.

OBJECTIVE: SSc is a severe, heterogeneous multi-organ disease where population-based estimates on phenotypic spectrum, overall disease burden and societal impact are largely missing. Here the objective was to provide the first-ever complete national-level data on phenotype and major organ afflictions in SSc. METHODS: A stepwise strategy was applied to find and characterize every SSc patient resident in Norway from 2000 to 2012. First we identified every case in the country registered with an International Classification of Diseases, Tenth Revision code for SSc (M34). Next we manually reviewed all cases coded as M34 to determine whether they met the 1980 ACR and/or 2013 ACR/EULAR classification criteria for SSc and could be included in the Norwegian SSc cohort (Nor-SSc). Finally, all disease features from SSc onset to study end were reviewed. RESULTS: The Nor-SSc cohort included 815 SSc patients. The mean age at diagnosis was 53 years, with 84% females and 77% limited cutaneous SSc. The estimated incidence increased from 4 per million in 2000 to 13 per million in 2012. We identified high cumulative frequencies of internal organ involvement, coexistence of multiple organ afflictions across disease subsets and autoantibody status and stable frequencies of pulmonary arterial hypertension across haemodynamic definitions, but indications of referral-related differences in pulmonary hypertension detection rates across the study area. CONCLUSION: This nationwide cohort study provides new, unbiased evidence for a high disease burden in SSc patients of Caucasian descent and indicates the existence of hurdles preventing equality of assessment across the SSc population.

Using Autoantibodies and Cutaneous Subset to Develop Outcome-Based Disease Classification in Systemic Sclerosis.

OBJECTIVE: To describe the associations between autoantibodies, clinical presentation, and outcomes among patients with systemic sclerosis (SSc) in order to develop a novel SSc classification scheme that would incorporate both antibodies and the cutaneous disease subset as criteria. METHODS: Demographic and clinical characteristics, including cutaneous subset, time of disease and organ complication onset, and autoantibody specificities, were determined in a cohort of SSc subjects. Survival analysis was used to assess the effect of the autoantibodies on organ disease and death. RESULTS: The study included 1,325 subjects. Among the antibody/skin disease subsets, anticentromere antibody-positive patients with limited cutaneous SSc (lcSSc) (n = 374) had the highest 20-year survival (65.3%), lowest incidence of clinically significant pulmonary fibrosis (PF) (8.5%) and scleroderma renal crisis (SRC) (0.3%), and lowest incidence of cardiac SSc (4.9%), whereas the frequency of pulmonary hypertension (PH) was similar to the mean value in the SSc cohort overall. The anti-Scl-70+ groups of patients with lcSSc (n = 138) and patients with diffuse cutaneous SSc (dcSSc) (n = 149) had the highest incidence of clinically significant PF (86.1% and 84%, respectively, at 15 years). Anti-Scl-70+ patients with dcSSc had the lowest survival (32.4%) and the second highest incidence of cardiac SSc (12.9%) at 20 years. In contrast, in anti-Scl-70+ patients with lcSSc, other complications were rare, and these patients demonstrated the lowest incidence of PH (6.9%) and second highest survival (61.8%) at 20 years. Anti-RNA polymerase antibody-positive SSc patients (n = 147) had the highest incidence of SRC (28.1%) at 20 years. The anti-U3 RNP+ SSc group (n = 56) had the highest incidence of PH (33.8%) and cardiac SSc (13.2%) at 20 years. Among lcSSc patients with other autoantibodies (n = 295), the risk of SRC and cardiac SSc was low at 20 years (2.7% and 2.4%, respectively), while the frequencies of other outcomes were similar to the mean values in the full SSc cohort. Patients with dcSSc who were positive for other autoantibodies (n = 166) had a poor prognosis, demonstrating the second lowest survival (33.6%) and frequent organ complications. CONCLUSION: These findings highlight the importance of autoantibodies, cutaneous subset, and disease duration when assessing morbidity and mortality in patients with SSc. Our novel classification scheme may improve disease monitoring and benefit future clinical trial designs in SSc.

Systemic sclerosis - the dermatological perspective.

Systemic scleroderma/systemic sclerosis (SSc) is an inflammatory connective tissue disease clinically characterized by two major subtypes: limited and diffuse SSc. While both conditions present with Raynaud's phenomenon (paroxysmal digital ischemia), diffuse SSc is associated with rapid disease progression and early - prognostically relevant - involvement of internal organs. Treatment is challenging. In addition to general lifestyle modifications, measures include treatments aimed at improving circulation as well as immunosuppressive and immunomodulatory drugs. However, these agents are effective only in terms of slowing disease progression.

Towards a Better Classification and Novel Therapies Based on the Genetics of Systemic Sclerosis.

PURPOSE OF THE REVIEW: Nowadays, important advances have occurred in our understanding of the pathogenesis of systemic sclerosis (SSc), which is a rare immune-mediated inflammatory disease (IMID) characterized by vascular damage, immune imbalance, and fibrosis. Its etiology remains unknown; nevertheless, both environmental and genetic factors play a major role in the disease. This review will focus on the main advances made in the field of genetics of SSc. RECENT FINDINGS: The assessment of how interindividual genetic variability affects disease onset and progression has enhanced our knowledge of disease biology, and this will eventually translate in the development of new diagnostic and therapeutic tools, which is the final goal of personalized medicine. We will provide an overview of the most relevant achievements in the genetics of SSc, its shared genetics among IMIDs with special attention on drug repurposing, current challenges for the functional characterization of risk variants, and future directions.

Cardiac autonomic modulation at rest and during orthostatic stress among different systemic sclerosis subsets.

OBJECTIVE: To compare autonomic heart rate variability (HRV) parameters at rest and during active stand in a population of SSc patients, taking into account SSc subsets age-matched to healthy control subjects. METHODS: Sixty-nine consecutive SSc patients were enrolled in study; these included 12 subjects with early SSc, 39 with limited cutaneous (lcSSc) and 18 with diffuse cutaneous SSc (dcSSc) along with 36 age- and sex-matched healthy controls (HC). ECG and respiration were recorded in supine position and in orthostatism (ORT). HRV analysis was performed on samples of 300 beats. Spectral analysis identified two oscillatory components, low frequency (LFnu, sympathetic) and high frequency (HFnu, vagal). Symbolic analysis identified three patterns, 0 V%, (sympathetic) and 2UV% and 2LV%, (vagal). The %∆ORT was calculated from the differences between HRV in ORT and SUP, normalized (%) by the HRV values at rest. RESULTS: SSc as a whole had higher markers of sympathetic (LF, 0 V%) and lower markers of vagal modulation (HR, 2UV%, 2LV%) compared to HCs. In addition, %∆LFnu, %∆HFnu, %∆0 V, %∆2UV and %∆2LV were lower in SSc than HC. dcSSc and lcSSc were dissimilar to HC as far as rest indexes were concerned (↑LF/HF, ↑LFnu, ↓HFnu, ↑0 V% and ↓2UV%) while no differences could be detected between HC and EaSSc. CONCLUSION: SSc showed a reduced vagal and increased sympathetic modulation at rest and a blunted autonomic response to ORT in comparison to HC. These alterations were mostly detectable in the advanced and fibrotic forms of SSc (dcSSc and lcSSc), while EaSSc were similar to HC.

Correlation between capillaroscopic classifications and severity in systemic sclerosis: results from SCLEROCAP study at inclusion.

OBJECTIVES: We assessed the correlation between severity of systemic sclerosis (SSc) and current staging systems based on nailfold capillaroscopy. METHODS: SCLEROCAP is a multicenter prospective study including consecutive scleroderma patients who have a yearly routine follow-up with capillaroscopy and digital blood pressure measurement. Capillaroscopy images were read by two observers blinded from each other, then by a third one in the case of discordance. A follow-up of 3 years is planned. The present study assessed the correlation between severity of systemic sclerosis (SSc) and current staging systems based on nail fold capillaroscopy at enrollment in the SCLEROCAP study. Univariate and multivariate logistic regression analysis was performed for both the Maricq and Cutolo classifications. RESULTS: SCLEROCAP included 387 patients in one year. Maricq's active and Cutolo's late classifications were very similar. In multivariate analysis, the number of digital ulcers (OR for 2 ulcers or more, respectively 2.023 [1.074-3.81] and 2.596 [1.434-4.699]) and Rodnan's skin score >15 (OR respectively 32.007 [6.457-158.658] and 18.390 [5.380-62.865]) correlated with Maricq's active and Cutolo's late stages. Haemoglobin rate correlated with Cutolo's late stage (hemoglobin<100 vs. >120 g/dl: OR 0.223 [0.051-0.980]), and total lung capacity with Maricq's active one: increase in 10%: OR0.833 [0.717-0.969]. CONCLUSIONS: The correlations found between capillaroscopy and severity of SSc are promising before the ongoing prospective study definitively assesses whether capillaroscopy staging predicts complications of SSc. Only two capillaroscopic patterns seem useful: one involving many giant capillaries and haemorrhages and the other with severe capillary loss.

[Very early and early systemic sclerosis: An update]. / Mise au point sur les sclérodermies très précoces et précoces.

Classification criteria for systemic sclerosis evolved over the last three decades, allowing an earlier classification. In the late 2000s, the EULAR Scleroderma Trials and Research Group validated very early and early systemic sclerosis criteria. Raynaud phenomenon, anti-nuclear antibody positivity and the puffy fingers are "Red flags" that must lead to refer the patient to a specialist and benefit from a capillaroscopy and the specific autoantibodies. At the stage of very early systemic sclerosis, pulmonary, cardiac and digestive involvements may be present and must be screened. Herein, we detail very early and early systemic sclerosis criteria, as well as the predictive factors of evolution towards a systemic sclerosis.

A Machine Learning Classifier for Assigning Individual Patients With Systemic Sclerosis to Intrinsic Molecular Subsets.

OBJECTIVE: High-throughput gene expression profiling of tissue samples from patients with systemic sclerosis (SSc) has identified 4 "intrinsic" gene expression subsets: inflammatory, fibroproliferative, normal-like, and limited. Prior methods required agglomerative clustering of many samples. In order to classify individual patients in clinical trials or for diagnostic purposes, supervised methods that can assign single samples to molecular subsets are required. We undertook this study to introduce a novel machine learning classifier as a robust accurate intrinsic subset predictor. METHODS: Three independent gene expression cohorts were curated and merged to create a data set covering 297 skin biopsy samples from 102 unique patients and controls, which was used to train a machine learning algorithm. We performed external validation using 3 independent SSc cohorts, including a gene expression data set generated by an independent laboratory on a different microarray platform. In total, 413 skin biopsy samples from 213 individuals were analyzed in the training and testing cohorts. RESULTS: Repeated cross-fold validation identified consistent and discriminative markers using multinomial elastic net, performing with an average classification accuracy of 87.1% with high sensitivity and specificity. In external validation, the classifier achieved an average accuracy of 85.4%. Reanalyzing data from a previous study, we identified subsets of patients that represent the canonical inflammatory, fibroproliferative, and normal-like subsets. CONCLUSION: We developed a highly accurate classifier for SSc molecular subsets for individual patient samples. The method can be used in SSc clinical trials to identify an intrinsic subset on individual samples. Our method provides a robust data-driven approach to aid clinical decision-making and interpretation of heterogeneous molecular information in SSc patients.

Classification, categorization and essential items for digital ulcer evaluation in systemic sclerosis: a DeSScipher/European Scleroderma Trials and Research group (EUSTAR) survey.

BACKGROUND: A consensus on digital ulcer (DU) definition in systemic sclerosis (SSc) has been recently reached (Suliman et al., J Scleroderma Relat Disord 2:115-20, 2017), while for their evaluation, classification and categorisation, it is still missing. The aims of this study were to identify a set of essential items for digital ulcer (DU) evaluation, to assess if the existing DU classification was useful and feasible in clinical practice and to investigate if the new categorisation was preferred to the simple distinction of DU in recurrent and not recurrent, in patients with systemic sclerosis (SSc). METHODS: DeSScipher is the largest European multicentre study on SSc. It consists of five observational trials (OTs), and one of them, OT1, is focused on DU management. The DeSScipher OT1 items on DU that reached ≥ 60% of completion rate were administered to EUSTAR (European Scleroderma Trials and Research group) centres via online survey. Questions about feasibility and usefulness of the existing DU classification (DU due to digital pitting scars, to loss of tissue, derived from calcinosis and gangrene) and newly proposed categorisation (episodic, recurrent and chronic) were also asked. RESULTS: A total of 84/148 (56.8%) EUSTAR centres completed the questionnaire. DeSScipher items scored by ≥ 70% of the participants as essential and feasible for DU evaluation were the number of DU defined as a loss of tissue (level of agreement 92%), recurrent DU (84%) and number of new DU (74%). For 65% of the centres, the proposed classification of DU was considered useful and feasible in clinical practice. Moreover, 80% of the centres preferred the categorisation of DU in episodic, recurrent and chronic to simple distinction in recurrent/not recurrent DU. CONCLUSIONS: For clinical practice, EUSTAR centres identified only three essential items for DU evaluation and considered the proposed classification and categorisation as useful and feasible. The set of items needs to be validated while further implementation of DU classification and categorisation is warranted. TRIAL REGISTRATION: Observational trial on DU (OT1) is one of the five trials of the DeSScipher project (ClinicalTrials.gov; OT1 Identifier: NCT01836263 , posted on April 19, 2013).

Less severe disease in patients with early systemic sclerosis?

Objectives: To evaluate the disease severity and activity in patients with a diagnosis of systemic sclerosis (SSc) after the 2013 American College of Rheumatology and the European League Against Rheumatism (ACR/EULAR) classification criteria development compared to patients diagnosed before 2013.Methods: One hundred and fifty-four subjects were included and assigned to the following groups: 120 SSc patients meeting the 1980 ACR criteria and with a diagnosis before 2013 (historical group), and 34 patients diagnosed after 2013, fulfilling the new ACR/EULAR criteria (early SSc group). Disease activity was assessed by the 2001 European Scleroderma Study Group Activity Index (EScSG-AI) and by the revised European Scleroderma Trials and Research group (EUSTAR) activity index. Disease severity was assessed using the Medsger Disease Severity Scale (DSS) and the summed DSS score.Results: The time between the first non-Raynaud's symptom and the diagnosis was shorter in early SSc than in the historical group (p = .001). The EScSG-AI and the EUSTAR activity index were similar between groups. The summed DSS score and the general, skin and gastrointestinal tract DSS scores were significantly lower in early SSc than in the historical group.Conclusion: SSc patients with a diagnosis after the new ACR/EULAR criteria development were diagnosed earlier and had a less severe disease than historical patients.

Isolated DLco/VA reduction in systemic sclerosis patients: a new patient subset?

INTRODUCTION: Diffusing capacity for carbon monoxide (DLco) reduction is the first detectable pulmonary functional test (PFT) change in systemic sclerosis (SSc)-related pulmonary complications. reduction in patients without cardiopulmonary alterations has also been observed; a good characterisation of these patients is lacking. The objective of this study is to describe the characteristics of SSc patients with isolated DLco reduction and compare these patients to SSc patients with DLco reduction with a known cause. METHODS: SSc patients with DLco < 80% predicted were included and classified into cases (isolated DLco reduction) and controls (DLco reduction in the presence of known pulmonary pathology). SSc clinico-serological data, PFT and echocardiography features were collected and analysed. RESULTS: From a total SSc cohort of 115 patients, 75 patients were included: 20 cases (26.7%) and 55 controls (73.3%). Cases were predominantly limited skin subset (90% vs 60%, p < 0.001), were anti-centromere antibody (ACA)-positive (95% vs 40%, p < 0.001) and had an infrequent oesophageal involvement (45% vs 74%; p = 0.016). The mean DLco reduction of cases was mild (65.60% ± 10.56). Only 1 out of 20 patients had normal DLco/VA values, and tricuspid regurgitation was more frequent (85% vs 53.8%, p = 0.014). CONCLUSION: There is a subgroup of SSc patients with mild isolated DLco and DLco/VA reduction, predominantly limited SSc with ACA seropositivity, which could identify a particular SSc subset. We hypothesise that isolated DLco/VA reduction could indicate a pulmonary vascular involvement. Nevertheless, a close follow-up is mandatory, as a pre-PAH situation cannot be excluded.

Survival rate, causes of death, and risk factors in systemic sclerosis: a large cohort study.

To investigate the clinical pattern, survival rate, causes of death and risk factors in a large cohort of Chinese Han patients with systemic sclerosis (SSc). Inpatients treated from 2002 to 2014 were included in this study. Patients were classified into diffuse cutaneous SSc (dcSSc), limited cutaneous SSc (lcSSc), and SSc-overlap syndrome groups. Data were analyzed using Chi-squared tests, Kaplan-Meier curves, log-rank tests, and Cox proportional hazards modeling. Among a total of 201 patients, dcSSc (50.2%) was the major subtype, followed by lcSSc (30.3%) and SSc-overlap (19.4%). Interstitial lung disease (ILD, 148/201, 74%) was the most frequent organ involvement. The overall survival rates were 98% and 95% at 5 and 10 years, respectively. The overall standard mortality ratio (SMR) was 2.22. The most common cause of death was ILD combined with infection (8/16, 50%), followed by kidney failure (2/16, 12.5%). On crude analysis, pulmonary hypertension, ILD, cardiac involvements, renal involvements, and digital ischemia were associated with poor prognosis. On multivariate analysis, pericardial effusion (p = 0.000) and digital ischemia (p = 0.016) were independent prognostic factors of death. The mortality rate of patients with SSc is mildly increased in comparison with the general population. ILD is the most common systemic involvement and the principal cause of death in SSc. Pericardial effusion and digital ischemia are independent factors associated with death.

From VEDOSS to established systemic sclerosis diagnosis according to ACR/EULAR 2013 classification criteria: a French-Italian capillaroscopic survey.

OBJECTIVES: Nailfold capillaroscopy (NC) shows microcirculatory abnormalities in systemic sclerosis (SSc). The inclusion of NC specific abnormalities increases the sensitivity of both 2013 ACR/EULAR and VEDOSS (Very Early Diagnosis of Systemic Sclerosis) classification criteria. We aimed to detect NC features able to predict progression toward established SSc in VEDOSS patients. METHODS: Sixty-six VEDOSS patients were enrolled. They had a clinical follow-up and underwent NC once a year, considering morphological parameters, appropriate pattern and semi- quantitative rating scale. RESULTS: In a mean follow-up time of 31 months, 21 patients progressed into SSc (P = Progressors), while 45 were "Non Progressor" (NP). Comparing NC basal features of both groups, significantly larger loop diameter and apex width, higher haemorrhage and NC scores were found in P respect to NP patients. When comparing NC features of P patients who progressed within one year (FP = Fast progressor), loop diameter and apex width were significantly higher compared to all VEDOSS subjects. Each unit increase of apex width was associated with an increasing risk of 1% for developing SSc and the cut-off value of 103 µm showed a positive predictive value of 56% and a negative predictive value of 71%. CONCLUSIONS: We describe NC findings in VEDOSS patients, identifying those suggesting a progression into established disease. These findings must be regarded as possible predictive risk factor to develop SSc and can also be of relevance in the detection of those cases with a faster development. Thus NC seems to have a diagnostic and prognostic role in VEDOSS cases.

Systemic sclerosis: Current concepts of skin and systemic manifestations.

Systemic sclerosis is an uncommon autoimmune connective tissue disease with multiorgan system involvement and significant associated morbidity and mortality. Cutaneous signs and clinical manifestations are of particular importance, as they may be recognized before systemic manifestations, allowing earlier risk stratification into the limited and diffuse cutaneous subtypes, as well as earlier initiation of treatment. Important cutaneous manifestations include Raynaud's phenomenon, digital ulcers, cutaneous sclerosis, calcinosis cutis, telangiectasias, pruritus, and dyspigmentation. Despite investigation of a wide variety of treatments, no FDA-approved pharmacologic therapies exist for systemic sclerosis, and data from high-quality studies are limited. In the following review, we will discuss skin-directed therapies. Although there is evidence to support specific treatments for Raynaud's phenomenon, digital ulcers, and cutaneous sclerosis, there are limited rigorous studies evaluating the treatment of other cutaneous signs and clinical manifestations. Additional randomized-controlled trials and large observational studies are necessary to develop future evidence-based treatment options.