| Literature DB >> 29760155 |
Stefania Basili1, Cristina Antinozzi2, Clara Crescioli2, Clarissa Corinaldesi2,3, Valeria Riccieri1, Valeria Raparelli4, Massimiliano Vasile1, Francesco Del Galdo3,5, Guido Valesini1, Andrea Lenzi4.
Abstract
Entities:
Keywords: autoimmunity; chemokines; systemic sclerosis
Mesh:
Substances:
Year: 2018 PMID: 29760155 PMCID: PMC6241615 DOI: 10.1136/annrheumdis-2018-213257
Source DB: PubMed Journal: Ann Rheum Dis ISSN: 0003-4967 Impact factor: 19.103
Demographic and clinical characteristics of patients with very early diagnosis of systemic sclerosis (VEDOSS) and systemic sclerosis (SSc) (whose sera sample collection was used in the study).
| Characteristics | SSc (n=28) | VEDOSS (n=34) |
| Age (years) | 56.56±12.45 | 50.50±13.66 |
| Male | – | – |
| Female | 28 | 34 |
| lcSSc subsets | 25 (89%) | – |
| dcSSc subsets | 3 (11%) | – |
| Disease duration (months) | 91.3±11.73 | 11.1±4.2 |
| ANA | 26 (93%) | 31 (91%) |
| ACA | 16 (57%) | 17 (50%) |
| Anti-topoisomerase I (Scl-70) | 4 (14%) | 5 (15%) |
| Digital ulcers | 4 (14%) | – |
| Normal NVC pattern | 1 (4%) | 13 (38%) |
| Early NVC pattern | 6 (21%) | 11 (32%) |
| Active NVC pattern | 13 (46%) | 9 (26%) |
| Late NVC pattern | 8 (29%) | 1 (3%) |
| Interstitial lung disease | 6 (21%) | – |
Age and disease duration were expressed as mean±SD/SE; disease duration was calculated since the first Raynaud phenomenon in VEDOSS and non-Raynaud symptom of SSc. Patients were not receiving corticosteroids, immunosuppressant or other disease-modifying drugs; patients with cardiac disease, pulmonary artery hypertension or active diseases other than SSc were excluded. Interstitial lung disease was determined by high-resolution computed tomography CT scan. ACA, anti-centromere antibodies; ANA, antinuclear antibodies; dcSSc, diffuse cutaneous SSc; lcSSc, limited cutaneous SSc; NVC, nailfold videocapillaroscopy.
Figure 1CXCL10 and CXCL11 serum-level modifications associated with very early diagnosis of systemic sclerosis (VEDOSS) and systemic sclerosis (SSc) condition. Baseline serum CXCL10 and CXCL11 levels in VEDOSS versus SSc and healthy subjects (A, B); CXCL10 and CXCL11 serum concentration according to capillaroscopic patterns in VEDOSS and SSc (C, D)—normal, early, active and late; CXCL10 and CXCL11 baseline (T0) and follow-up (T1) determination in sera of VEDOSS subjects shifted (grey boxes) or not (empty boxes) to SSc (E, F); receiver operating characteristic (ROC) curves constructed using chemokine baseline levels (T0) to identify CXCL10 and CXCL11 threshold (cut-off value) capable of discriminating VEDOSS subjects shifting or not to SSc (G, H); CXCL10 and CXCL11 serum-level correlation (I). GraphPad Prism V.5 software (GraphPad Software, La Jolla, California, USA) and SPSS V.24.0 software (SPSS) were used for statistical analysis. The Kolmogorov-Smirnov test was used for normal distribution of the data. Groupwise comparisons were performed using the Mann-Whitney U test. ROC curves were to give a graphic representation of the relationship between true-positive fraction (sensitivity, SE) and false-positive fraction (1 – specificity, Sp); ROC curves were assessed by plotting the values of 1 – Sp against Se in a squared box, where the ROC’s area under the curve (AUC) is used to measure the performance of a diagnostic test. The AUC lies in the interval 0.5–1.0, so that the greater the area, the better the performance of the variable being examined. Chemokine association was determined using Pearson’s correlation coefficient. For all tests, a two-sided p value <0.05 was considered significant. NVC, nailfold videocapillaroscopy.