Abstract
Objective
Nailfold videocapillaroscopy (NVC) allows the detection of microvascular damage in autoimmune connective tissue diseases (CTDs). The prevalence of the morphological capillary findings was retrospectively evaluated in a wide cohort of patients with Raynaud’s phenomenon secondary to a CTD at the time of the first single NVC, independently from their current treatment, autoantibody profile and comorbidities.
Methods
One-thousand-one-hundred-eighty-one patients affected by CTDs were included from 2001 to 2021. The considered CTDs were systemic sclerosis (SSc), undifferentiated connective tissue disease (UCTD), mixed connective tissue disease (MCTD), dermatomyositis (DM), systemic lupus erythematosus, Sjögren’s syndrome and primary antiphospholipid syndrome (aPS). The capillaroscopic parameters were distinguished between scleroderma patterns and non-scleroderma patterns.
Results
Giant capillaries were significantly more frequent in SSc, DM and MCTD than in other CTDs (respectively, in 73%, 73% and 61% of patients, p<0.001 when comparing each rate vs the other CTDs). The mean capillary count was significantly lower in SSc, DM and MCTD (respectively, 7.04±0.18 vs 6.5±0.75 vs 7.7±2 capillaries/linear mm) compared with the other CTDs (p<0.001 for each rate vs the other CTDs). The non-specific abnormalities of capillary morphology were significantly more frequent in SSc, MCTD and aPS (respectively, in 48%, 41% and 36% of cases, all p<0.001 vs each other CTDs).
Conclusion
This large size sample of patients with CTDs, collected over 20 years of analysis, confirms the highest prevalence of specific capillaroscopic alterations in patients with SSc, DM and MCTD, when compared with other CTDs.
Keywords: scleroderma, systemic; dermatomyositis; lupus erythematosus, systemic; Sjogren's syndrome; antiphospholipid syndrome
WHAT IS ALREADY KNOWN ON THIS TOPIC
Raynaud’s phenomenon (RP) secondary to autoimmune connective tissue diseases (CTDs) is characterised by the presence of microangiopathic findings in nailfold videocapillaroscopy (NVC).
There is a lack of data related to the comparative prevalence of the microvascular damage across all the CTDs with recent standardised definitions in capillaroscopy.
WHAT THIS STUDY ADDS
Our survey reports a comparative detailed NVC analysis in the widest published cohort of secondary RP affected by CTDs.
Patients with systemic sclerosis, dermatomyositis and mixed connective tissue disease display a microangiopathy with a higher prevalence of specific alterations compared with other CTDs.
HOW THIS STUDY MIGHT AFFECT RESEARCH, PRACTICE OR POLICY
Our retrospective study might support the diagnostic approach of secondary RP by providing large-scale data inherent to the prevalence of specific and non-specific findings in capillaroscopy across autoimmune CTDs.
Introduction
Raynaud’s phenomenon (RP) is a frequent clinical feature of altered microcirculation and it is a common manifestation in autoimmune connective tissue diseases (CTDs) with a prevalence widely ranging from 11% to 90% according to the considered CTD.1 Patients with systemic sclerosis (SSc) show RP as a first clinical manifestation in up to 90% of cases, whereas lower rates have been reported for other CTDs such systemic lupus erythematosus (SLE) and Sjögren’s syndrome (SS) where it can be observed, respectively, in up to 46% and 13% of cases.2 3
The assessment of RP secondary to a CTD can be safely performed by nailfold videocapillaroscopy (NVC), which is considered the gold standard method for the detection of the morphological microvascular abnormalities secondary to autoimmune rheumatic diseases and helps distinguishing the secondary from the primary RP which is purely functional with absent morphological microvascular changes.4 Indeed, the suggested criteria for primary Raynaud's phenomenon (PRP) include, besides the absence of pathological NVC findings, symmetric attacks, the absence of tissue necrosis, ulceration or gangrene, the absence of a secondary cause, negative tests for antinuclear antibodies and a normal erythrocyte sedimentation rate.5
Conversely, the specific microvascular abnormalities such as giant capillaries (homogeneous dilation with a diameter>50 µm) or the combination of severe capillary loss with abnormal shapes identify patients with NVC ‘scleroderma pattern’.6–9
The abnormal morphological parameters specific to different stages of disease progression in SSc microangiopathy have been categorised as ‘early’, ‘active’ and ‘late’ patterns, but NVC patterns have been searched also in other CTDs.10
NVC ‘scleroderma-like’ pattern has been described for CTDs beyond SSc and consists in a cluster of alterations of the capillary distribution, shape, number and dimension (mixing together the aspects observed in detail in the three SSc NVC patterns). This pattern has been reported for idiopatic inflammatory myopathies, such dermatomyositis (DM) or the antisynthetase syndrome, and mixed connective tissue disease (MCTD).11–13
The aim of this study was to detect the prevalence of each morphological microcirculatory alteration, retrospectively evaluated, in a wide cohort of patients with RP secondary to a definite diagnosis of CTD at the time of the first single NVC, independently from their current disease status, treatment, autoantibody profile and comorbidities and to compare capillary findings in each CTD with SSc.
Methods
Study population
The considered CTDs, diagnosed through the most recent international classification criteria available at the time of the enrollment, were: SSc, undifferentiated connective tissue disease (UCTD), MCTD, DM, SLE, SS and primary antiphospholipid syndrome (aPS). Patients with overlap syndromes were excluded from our analysis. This retrospective study was conducted in accordance with the principles of the Declaration of Helsinki and Good Clinical Practice. All the patients signed the mandatory written informed consent to manage their clinical data collection/analysis as a standard hospital procedure according to the rules of the University Hospital at the time of their first NVC in our clinic. The code of the written consent form, allowing the retrospective utilisation of anonymised images in our division, is CONSAZHQA_0001. All the patients were evaluated for RP at the time of their referral to the centre. The patients were in treatment with different conventional synthetic or biological disease modifying antirheumatic drugs, glucocorticoids and vasoactive agents (see table 1).
Table 1.
Demographic and clinical features of the cohort
| Demographic and clinical features | SSc (n=601) |
DM (n=30) |
MCTD (n=70) |
UCTD (n=315) |
aPS (n=22) |
SLE (n=108) |
SS (n=35) |
| Sex (F, %) | 558, 92.8% | 24, 80% | 59, 84.2% | 298, 94% | 17, 77.2% | 99, 91.6% | 32, 91.4% |
| Age (years, mean±SD) | 57.6±15 | 53±18 | 49±16 | 52±15 | 50±14 | 47.4±13.13 | 56.6±15.7 |
| Disease duration (years, mean±SD) |
5.4±4.6 | 6.6±5.7 | 4.4±3 | 5.4±3 | 7.6±5.7 | 12.3±4.1 | 2.8±1.6 |
| ANA profile pattern | |||||||
| Homogeneous (%) | 19% | 15% | 0% | 15% | 8% | 76% | 0% |
| Speckled (%) | 28% | 73% | 100% | 56% | 4% | 0% | 76% |
| Nucleolar (%) | 18% | 7% | 0% | 21% | 0% | 18% | 0% |
| Centromeric (%) | 25% | 3% | 0% | 8% | 0% | 0% | 0% |
| Mixed (%) | 6% | 0% | 0% | 0% | 3% | 0% | 0% |
| Cytoplasmic (%) | 0% | 0% | 0% | 0% | 0% | 0% | 15% |
| Negative (%) | 4% | 2% | 0% | 0% | 85% | 6% | 9% |
| Autoantibody profile (ENA or other specific autoantibodies) | |||||||
| ACA 43.6% | Negative MSA in 13% of patients | Anti-RNP 100% | ACA 12% | ACL IgM or IgG 72% | Anti-dsDNA 52% | Anti-SSA 78% | |
| ATA 28.8% |
Anti-Jo1 47%, |
Anti-SSA 6% | Anti-β2GPI IgM or IgG 72% | ACL IgM or IgG 30 % | Anti-SSB 43% | ||
| ARA 3.9% | Anti-Mi2 13% |
ATA 6% | LAC 27% | Anti-β2GPI IgM or IgG 27 % |
|||
| Anti-RNP 5.9% | Anti-NXP2 10% | Anti-Ro52, 4% | Anti-Sm 19% | ||||
| Anti-Th/To 1.6% | Anti-TIF-1γ 7% | Anti-SSB 2% | LAC 15% | ||||
| Anti-fibrillarin 1.3% | Anti-SAE1-2 7% | Anti-Jo1 2% | Anti-RNP 8% | ||||
| Anti-Ku 0.5% | Anti-MDA5 3% | Anti-SSA 6% | |||||
| Anti-Jo1 0.6% | Negative MSA 13% | Anti-SSB 4% | |||||
| Anti-SSA 2.5% | |||||||
| Anti-SSB 1.1% | |||||||
| Anti-Ro52 9.5% | |||||||
| Ongoing treatment | |||||||
| Vasodilators (ie, CCB, PDE5-I), n (%) | 538 (89.5%) | 6 (20%) | 23 (32.6%) | 75 (23.8%) | 0 (0 %) | 2 (1.8%) | 3 (8.5%) |
| Glucocorticoids, n (%) | 42 (6.9%) | 23 (77%) | 40 (56.5%) | 192 (61%) | 6 (27%) | 100 (92.5%) | 27 (77.1%) |
| csDMARDs, n (%) (ie, HCQ, MTX, CsA, MMF, CYC) |
389 (64.7%) | 25 (83%) | 46 (65.2%) | 130 (41.3%) | 5 (22.7%) | 95 (88%) | 22 (62.8%) |
| bDMARDs/tsDMARDs, n (%) (ie, RTX, BEL, NIB, JAKi) |
38 (6.3 %) | 2 (7%) | 1 (1.4%) | 0 (0 %) | 0 (0%) | 12 (11%) | 0 (0 %) |
| Comorbidities | |||||||
| Type two diabetes mellitus, n (%) | 36 (6%) | 3 (10%) | 1 (1.4%) | 2 (0.6 %) | 1 (4.5%) | 15 (13.8%) | 0 (0 %) |
| Dyslipidaemia, n (%) | 84 (14%) | 3 (10%) | 6 (8.5%) | 34 (10.8%) | 1 (4.5%) | 9 (8.3%) | 2 (5.7%) |
| Arterial hypertension, n (%) | 204 (34%) | 8 (27%) | 17 (24%) | 74 (23.4%) | 9 (40.9%) | 34 (31.5%) | 5 (14.3%) |
| Chronic renal failure, n (%) | 48 (8%) | 1 (3%) | 2 (3%) | 2 (0.6%) | 1 (4.5%) | 20 (18.5%) | 2 (5.7%) |
ACA, anticentromere autoantibodies; ACL, anticardiolipidin antibodies; ANA, antinuclear antibodies; aPS, antiphospholipid syndrome; ARA, anti-RNA polymerase III antibodies; ATA, antitopoisomerase I; BEL, belimumab; CCB, calcium channel blockers; CsA, cyclosporine A; cs/bDMARDs, conventional synthetic or biological disease modifying antirheumatic drugs; CYC, cyclophosphamide; DM, dermatomyositis; ENA, extractable nuclear antigens antibodies; F, females; HCQ, hydroxychloroquine; methotrexate; IgM/IgG, immunoglobulin M/G; JAKi, janus kinase inhibitors; LAC, lupus anticoagulant; MCTD, mixed connective tissue disease; MMF, mycophenolate mofetil; MSA, myositis specific autoantibodies; m±SD, mean and SD; MTX, methotrexate; NIB, nintedanib; PDE5-I, inhibitors of phosphodiesterase-5; RNP, ribonucleoprotein; RTX, rituximab; SLE, systemic lupus erythematosus; SS, Sjögren's syndrome; SSA, Sjögren's-syndrome-related antigen A; SSB, Sjögren's-syndrome-related antigen B; SSc, systemic sclerosis; UCTD, undifferentiated connective tissue disease; β2GPI, beta2-glycoprotein1.
Nailfold videocapillaroscopy
NVC was performed using an optical probe, equipped with a 200× contact lens connected to image analysis software (Videocap, DS Medica, Milan, Italy). The operator performed the NVC examinations in all patients, after an acclimatisation period of 20 min at 22–24°C, according to the standardised procedures.6 7
Two millimetres in the middle of the nailfold bed were assessed for each finger. According to the most recent validated literature evidence, the NVC parameters were defined as following: normal capillaries (hairpin shaped), non-specific capillary variations of morphology (tortuous or crossing capillaries with branch diameters<20 µm), dilated capillaries (irregular or homogeneous increase of capillary diameter between 20 µm and 50 µm), giant capillaries (homogeneously dilated normal shaped loops with a diameter≥50 µm), microhaemorrhages (dark masses attributable to hemosiderin deposit), abnormal shapes (ie, ramified capillaries, non-covex head of capillaries, neoangiogenesis and originating from a single capillary) and lower capillary density (reduction of capillary number below normal range of 7 capillaries per linear mm, counted at the distal row).6 We recorded the frequency of patients presenting at least one NVC finding (ie, giant capillaries, microhemorrhages or abnormal shapes, see table 2).
Table 2.
Main capillaroscopic findings in autoimmune CTDs. All the alterations are compared, as a reference, with SSc
| NVC features | SSc n=601 |
DM n=30 |
MCTD n=70 |
UCTD n=315 |
aPS n=22 |
SLE n=108 |
SS n=35 |
| Capillary density | 7.04 (1–12) | 6.5 (4-10) p=0.11 |
7.7 (3–11) p=0.04 |
9.17 (3–13) p<0.001 |
9.5 (7–12) p<0.001 |
9.6 (4–12) p<0.00001 |
9.5 (6–12) p<0.00001 |
| Patients with reduction of the capillary number (<7/linear mm) | 324 (54 %) | 16 (53%) p=0.95 |
24 (34%) p=0.002 |
39 (12%) p<0.0001 |
0 (0%) p<0.0001 |
7 (6%) p<0.0001 |
1 (3%) p<0.0001 |
| Giant capillaries | 442 (73%) | 22 (73%) p=0.97 |
43 (61 %) p=0.03 |
70 (22%) p<0.00001 |
2 (9 %) p<0.00001 |
16 (15 %) p<0.00001 |
5 (14 %) p<0.00001 |
| Dilations | 597 (99%) | 29 (96%) p=0.1 |
63 (90%) p<0.0001 |
288 (91%) p<0.001 |
19 (86 %) p=0.00004 |
89 (82%) p<0.00001 |
24 (69%) p<0.00001 |
| Microhaemorrages | 424 (70%) | 21 (70%) p=0.61 |
32 (46%) p<0.0001 |
129 (41%) p<0.0001 |
11 (50%) p=0.004 |
5 (5%) p<0.001 |
2 (6%) p<0.00001 |
| Non-specific abnormal capillary morphologies | 290 (48%) | 13 (12%) p<0.00001 |
29 (41 %) p=0.28 |
84 (27%) p<0.00001 |
8 (36 %) p=0.27 |
13 (12%) p<0.00001 |
7 (20%) p<0.00001 |
| NVC pattern | ‘Early’: 201 (34%) ‘Active’: 227 (38%) ‘Late’: 97 (16%) NL: 17 (2%) NSA:59 (10%) |
NL: 0 (0%) p=1 NSA: 8 (26%) p<0.00001 Scleroderma pattern: 11 (37%) Scleroderma-like pattern: 11 (37%) |
NL: 2 (3%) p=0.45 NSA: 26 (36 %) p<0.00001 Scleroderma pattern: 21 (30%) Scleroderma-like: 22 (31%) |
NL: 16 (5%) p=0.09 NSA: 229 (73%) p<0.00001 Scleroderma pattern: 14 (4%) Scleroderma-like: 56 (18%) |
NL: 4 (18%) p=0.05 NSA: 16 (73%) p<0.00001 Scleroderma-like pattern: 2 (9%) |
NL: 15 (14%) p<0.00001 NSA: 78 (71%) p<0.00001 Scleroderma pattern: 2 (2%) Scleroderma-like pattern: 14 (13%) |
NL: 12 (35%) p<0.00001 NSA: 18 (51%) p<0.00001 Scleroderma-like pattern: 5 (14%) |
*Statistically significant p values are indicated in bold type
aPS, antiphospholipid syndrome; CTDs, connective tissue diseases; DM, dermatomyositis; MCTD, mixed connective tissue disease; NL, normal; NSA, non-specific alterations; NVC, nailfold videocapillaroscopy; SLE, systemic lupus erythematosus; SS, Sjögren's syndrome; SSc, systemic sclerosis; UCTD, undifferentiated connective tissue disease.
The previously mentioned NVC parameters were collected in the cohort of patients at baseline (first visit in our clinic). The capillaroscopic parameters were collected according to the Fast Track Algorithm and distinguished between scleroderma pattern (specific NVC alterations) and non-scleroderma patterns (non-specific NVC alterations and normal findings).14 According to these standardised definitions, specific capillaroscopic alterations include the presence of giant capillaries and/or the loss of capillaries combined with abnormally shaped capillaries.6 We defined ‘scleroderma-like’ pattern as the NVC findings in other CTDs beyond SSc which are characterised by a mix of the specific abnormalities of all the SSc patterns without fitting the single definition of ‘early’, ‘active’ or ‘late’ pattern (figure 1).7
Figure 1.

Microvascular morphological alterations detectable on NVC in autoimmune CTDs. (A) Giant capillaries in an SSc patient with an ‘active’ scleroderma pattern. (B) Scleroderma-like pattern in a patient with MCTD. (C) ‘Comb-like’ microhaemorrhages in a patient with primary aPS. aPS, antiphospholipid syndrome; CTDs, connective tissue diseases; MCTD, mixed connective tissue disease; NVC, nailfold videocapillaroscopy; SSc, systemic sclerosis.
Statistical analysis
Categorical variables, such as frequencies, were compared with the χ2 test. Normal distribution of metric data was checked before each statistical test both analytically, with the Kolmogorov-Smirnov test, and graphically with Q–Q plots. In case of normal distribution, parametric tests were used, such as the independent t-test if the considered samples were two or by the analysis of variance in case of multiple samples. When data were distributed non-symmetrically, non-parametric tests such as Mann-Whitney or Kruskall-Wallis tests were chosen. P values <0.05 were considered as statistically significant.
Statistical analysis was performed with DATAtab.
Results
Main clinical features of the study population
One-thousand-one-hundred-eighty-one patients affected by CTDs were included from 2001 to 2021 in the Rheumatology Division of San Martino Polyclinic University Hospital (Genoa, Italy). One-thousand sixty-five patients were females (90.1% of the cohort), whereas the mean age and the mean disease duration of the whole cohort were, respectively, 54.1±16.2 years and 5.5±4 years. The other descriptive clinical–demographical features, including, the current treatment, the autoantibody profile and the presence of comorbidities potentially influencing the microvascular findings are reported in table 1 for each CTD.
NVC findings
Giant capillaries, capillary dilations and microhemorrhages were significantly more frequent in SSc and DM compared with other CTDs (respectively, in 73%, 99% and 70% of patients with SSc and in 73%, 96% and 70% of patients with DM; non-significant p values for the comparison between SSc vs DM but p<0.001 for comparisons between SSc and the other CTDs, see table 2 and figure 2). The non-specific abnormalities of capillary morphology, such as the ramifications (expression of neoangiogenesis), were significantly more frequent in SSc, MCTD and aPS among all the CTDs (respectively, in 48%, 41% and 36% of cases; non-significant differences between the three of them but p<0.05 for the comparison between each of the 3 vs the other CTDs).
Figure 2.
Mean capillary density, rates of giant capillaries, abnormally shaped capillaries and microhaemorrhages in CTDs. aPS, antiphospholipid syndrome; CTDs, connective tissue diseases; DM, dermatomyositis; MCTD, mixed connective tissue disease; SLE, systemic lupus erythematosus; SS, Sjögren’s syndrome; SSc, systemic sclerosis; UCTD, undifferentiated connective tissue disease.
Interestingly, giant capillaries and abnormal shapes were detected, respectively, in 61% and 41% of patients with MCTD. In patients with aPS, the most significant prevalence of microhaemorrages (50%) was observed compared with other CTDs, to the exclusion of SSc and DM where microhemorrhages were detected in 70% of cases.
Among CTDs, the mean capillary density (number of capillaries/linear mm) was significantly lower in SSc and DM (respectively, 7.04±0.18 vs 6.5±0.75) compared with other CTDs (figure 2). A non-significant difference was observed for the mean capillary density between SSc and DM (p=0.11), whereas a higher capillaries count was detected in MCTD versus SSc (p=0.04). When SSc and DM were excluded, MCTD was the CTD with the lowest capillary numerosity compared with other CTDs (p<0.01 for each comparison). ‘Early’, ‘active’ and ‘late’ scleroderma patterns were detected in 34%, 38% and 16% of patients with SSc, whereas scleroderma-like pattern was detected more frequently in DM (37 %) and MCTD (31%) compared with other CTDs beyond SSc (p<0.02, non-significant p value between DM and MCTD, p=0.6).
Scleroderma-pattern was detected in 37% of patients with DM, 30% of patients with MCTD, 4% of patients with UCTD and 2% of patients with SLE. In aPS and SS, no patients with scleroderma-pattern were found.
Discussion
The results of the NVC analysis in a wide cohort of patients with CTD suggest that the microvascular damage in SSc, DM and MCTD displays more specific NVC findings compared with other CTDs. Indeed, these patients showed a higher prevalence of giant capillaries and a more severe reduction of capillary density when compared with the other autoimmune CTDs. These NVC specific alterations are regarded as the crucial elements, which can permit the differentiation of a ‘scleroderma pattern’ from a ‘non-scleroderma’ pattern according to recent standardised guidelines in capillaroscopy.6
From a diagnostic perspective, NVC findings of ‘scleroderma pattern’ and specific autoantibodies have been shown to be strong predictors of SSc development in a cohort of patients with secondary RP.15–17 Additionally, NVC findings have also been introduced in the 2013 classification criteria for SSc, a fact which emphasises its importance especially in the early diagnosis of the disease.18
Follow-up studies have reported that the progressive reduction of capillary density is correlated with the overall organ damage in SSc and might be a promising adjunct outcome measure in randomised clinical trials for monitoring the efficacy of vasoactive and/or immunosuppressive agents.19–21 Additionally, NVC findings have been shown to be predictors of peripheral vascular injury and lung involvement in patients with SSc.22–24
While the progression of microangiopathy in SSc has an established literature, exploratory and follow-up studies related to NVC findings in the other CTDs are fewer and more contrasting and even fewer are the comparative reports of the different microangiopathies among CTDs.
In DM, Manfredi et al have shown that patients having a shorter disease duration (<6 months) exhibit a reduced mean capillary density and a higher rate of giant capillaries compared with patients with longer disease duration (>6 months).12 The latter showed, however, an increased frequency of abnormal shapes compared with individuals with early disease. NVC findings in DM also appear to correlate, according to different studies, to skin, muscle, joint and lung involvement.25–27 Nevertheless, these correlations with disease activity are heterogeneous: the small sample sizes of the different reports, the variable inclusion of patients with diverse autoantibodies phenotype and the heterogeneous methods of clinical assessment make difficult the generalisation of NVC findings with the overall clinical features in patients with DM.28
From comparative studies between DM and SSc, a lower density in SSc versus DM has been detected: more specifically, by comparing patients with DM with each subgroup of patients with SSc divided according to the stages of ‘scleroderma pattern’, it has been shown that patients with DM display a more severe capillary loss than the ‘early’ NVC SSc pattern but present a lower extent of capillary reduction when compared with ‘active’ and ‘late’ NVC SSc patterns.29 Another difference was reported in the longitudinal follow-up of the microangiopathies in these diseases: while the neoangiogenesis rate increased in both during the follow-up; on the contrary, capillary count recovered in DM while worsened in SSc, suggesting today more chances of reversibility with treatment in patients with DM.29 Characteristics of stability in DM microangiopathy have been previously observed by our group compared with patients with SSc who more frequently displayed features of progression.13
Despite our study did not show a statistically significant difference in the capillary count between patients with SSc and patients with DM, this could be explained, partly, by the relatively low percentage of ‘late’ NVC pattern in patients with SSc (16%) where capillary count typically drops.
Our findings also showed a non-significant difference in the rate of giant capillaries between SSc and DM (both detected in 73% of cases) and a higher frequency of abnormal shapes in SSc (48% vs 12%). This might be explained by the relatively high percentage of enrolled patients with ‘early’ and ‘active’ NVC SSc pattern, where giant capillaries are mostly expressed.
After SSc and DM, we detected a reduced capillary count in MCTD compared with other CTDs. In literature, there are reports showing a correlation between reduced capillary density in NVC and interstitial lung disease and muscle involvement indicating that microangiopathy might be a potential proxy in MCTD for identifying patients with a higher disease activity and organ damage.30 31
In our study, most of the patients with MCTD showed non-specific alterations (60%) but ‘scleroderma pattern’ and ‘scleroderma-like’ pattern were detected in, respectively, 30% and 31% of patients indicating the presence of specific NVC microvascular markers of damage. This rate of ‘scleroderma-like’ pattern in MCTD patients is in line with literature findings.32 33 In a recent study published by our group, we have shown that MCTD patients also display a more severe microvascular phenotype compared with patients with UCTD and this concept is confirmed also in this large cohort, especially when the difference in the ‘scleroderma-like’ pattern is considered (31% in MCTD vs 18% of UCTD).34
However, follow-up studies will be necessary to understand if the ‘scleroderma-like’ pattern is a predictor of poor outcomes in patients with MCTD.
In our cohort of patients with UCTD, the rate of scleroderma pattern and ‘scleroderma-like’ pattern is in line with other published cross-sectional studies.35 36 The prognostic value of these patterns has shown, at the moment, features of predictivity toward development of SSc, especially when combined in a multivariate complex model, which also includes the titre of antinuclear antibodies, the presence of specific SSc-related autoantibodies and the presence of giant capillaries and/or avascular areas at NVC.37 Further longitudinal studies should be addressed to quantify the value of the isolated scleroderma pattern in UCTD in predicting SSc development.
In aPS, no specific NVC pattern is known, nevertheless the so called ‘comb-like’ appearance, consisting in multiple parallel/linear microhemorrhages beneath normal-shaped capillaries arranged perpendicularly to the nailfold bed, has been described.38 This has been previously associated with the presence of anticardiolipin antibodies (microthromby), which were positive in 72% of our patients.39 Moreover, the most diffused capillary modification in aPS is capillary dilation of either the afferent, apical or efferent branch.40 Our study confirms these literature data, showing a prevalence of non-specific abnormalities in 73% of patients and with the most frequent microvascular findings being capillary dilations (86%) and microhaemorrhages (50%).
In SLE, according to the literature, non-specific alterations were mainly described, above all tortuous capillaries, microhemorrhages and abnormally shaped capillaries.41 Moreover, capillary abnormalities have been detected in up to 36% of patients with SLE, with described correlations with autoantibodies against Sjögren's-syndrome-related antigen A/B (anti-SSA/SSB) and anti-U1 ribonucleoprotein (U1RNP), but a ‘scleroderma-like’ pattern has been rarely observed (2.4%–15%), percentages in line with our results.42
The importance of RNP positivity, influencing the severity of NVC findings on patients with SLE, has been recently stressed by an observational study where significant correlations emerged between this autoantibody profile and the reduction of capillary number.43 Our findings are in line also with the literature reports showing a prevalence of non-specific alterations (84%), with the dilatation being the most diffuse NVC feature.
In SS, no specific NVC pattern has been identified.44 A ‘scleroderma pattern’ may be present in a variable percentage of patients with SS (10%–30%), especially in those who show RP and have an overlap syndrome with SSc or primary biliary cholangitis.32
Generally, capillary density stays within the normal range, even if some reports suggest a lower capillary density compared with healthy controls, especially in the presence of RP and/or anti-centromere antibodies.32 44 45 The results of our study agree with literature data, showing a prevalence of non-specific abnormalities in 60% of patients with SS and a ‘scleroderma-like’ pattern in 14% of SS individuals. It has still to be understood if ‘scleroderma-like’ pattern in SS is associated with overlap syndromes or with systemic vasculitis SS related.46
Among the main limitations, we acknowledge the variability in the sample sizes between each CTD: however, this derives partly from the retrospective study design. Furthermore, treatment, autoantibody profile, ethnicity, sex and comorbidities might have influenced microangiopathic findings, but separate subgroup analyses were not performed for reasons of statistical power.
To the best of our knowledge, however, our retrospective evaluation, represents a detailed comparative NVC analysis in the widest published cohort of secondary RP affected by CTDs.
Despite such type of comparison has been previously done,32 the added value of this survey derives from the higher sample size and from the implementation of the most recent standardised and validated definitions in capillaroscopy.6
Conclusions
Our results, collected over 20 years of analysis, confirm that NVC in SSc, DM and MCTD shows a more specific microangiopathy compared with other CTDs. This is documented by the higher prevalence of specific NVC abnormalities: higher rate of giant capillaries and reduced capillary density combined with abnormally shaped capillaries when compared with other CTDs.
Nevertheless, the microvascular findings detected in other CTDs, despite being mostly non-specific, might be worthy of longitudinal NVC evaluation since endothelial damage might play a role in their pathophysiology. NVC might identify phenotypes of patients displaying a more severe microvascular domain with potential clinical correlations with other extravascular features or evolving toward overlap syndromes within the scleroderma-spectrum disorders.
The correlations between organ and microvascular damage in CTDs different from SSc are being studied in ongoing projects. These will have, as aims, the enrollment of higher sample sizes, which might permit more accurately the evaluation of these associations.
Acknowledgments
MC, VS, EH, CP, EG, AS, SP are BOARD members of the EULAR Study Group on Microcirculation in Rheumatic Diseases. MC and VS are BOARD members of the European Network on Rare and Complex Connective Tissue Diseases (ERN ReCONNET).
VS is a senior clinical investigator of the Research Foundation – Flanders (Belgium) (FWO) (1.8.029.20N). The FWO was not involved in study design, collection, analysis and interpretation of data, writing of the report, nor in the decision to submit the article for publication.
Footnotes
Twitter: @MC
EH and CP contributed equally.
Presented at: The preliminary data of this paper have been presented at the American College of Rheumatology Convergence 2022 meeting (10–14 November 2022).
Contributors: MC conceived and designed the study, supervised and approved the final manuscript. EH and CP wrote the final draft of the paper. SS collected the data from the central database. CP performed and/or supervised all NVC analyses. EH performed the statistical analysis. EG, AC, CS, GF, RC, VG, SP and AS edited the manuscript and provided further intellectual content. VS contributed to the review of scientific contents. All authors read and approved the final manuscript. MC is the guarantor of the study who accepts full responsibility for the work and the conduct of the study, had access to the data and controlled the decision to publish.
Funding: The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.
Competing interests: None declared.
Provenance and peer review: Not commissioned; externally peer reviewed.
Data availability statement
Data are available upon reasonable request.
Ethics statements
Patient consent for publication
Not applicable.
Ethics approval
This study involves human participants. All the patients signed the mandatory written informed consent to manage their clinical data collection/analysis as a standard hospital procedure according to the rules of the University Hospital at the time of their first visit in our clinic. The code of the written consent form, allowing the retrospective utilisation of anonymised data in our division is CONSAZHQA_0001. Participants gave informed consent to participate in the study before taking part.
References
- 1.Suter LG, Murabito JM, Felson DT, et al. The incidence and natural history of Raynaud’s phenomenon in the community. Arthritis Rheum 2005;52:1259–63. 10.1002/art.20988 [DOI] [PubMed] [Google Scholar]
- 2.García-Carrasco M, Sisó A, Ramos-Casals M, et al. Raynaud’s phenomenon in primary Sjögren’s syndrome. prevalence and clinical characteristics in a series of 320 patients. J Rheumatol 2002;29:726–30. [PubMed] [Google Scholar]
- 3.Heimovski FE, Simioni JA, Skare TL. Systemic lupus erythematosus and Raynaud's phenomenon. An Bras Dermatol 2015;90:837–40. 10.1590/abd1806-4841.20153881 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Ingegnoli F, Ughi N, Dinsdale G, et al. An international survey on non-iNvaSive tecHniques to assess the mIcrocirculation in patients with Raynaud’s phEnomenon (SUNSHINE survey). Rheumatol Int 2017;37:1879–90. 10.1007/s00296-017-3808-0 [DOI] [PubMed] [Google Scholar]
- 5.LeRoy EC, Medsger TA. Raynaud’s phenomenon: a proposal for classification. Clin Exp Rheumatol 1992;10:485–8. [PubMed] [Google Scholar]
- 6.Smith V, Herrick AL, Ingegnoli F, et al. Standardisation of nailfold capillaroscopy for the assessment of patients with Raynaud’s phenomenon and systemic sclerosis. Autoimmunity Reviews 2020;19:102458. 10.1016/j.autrev.2020.102458 [DOI] [PubMed] [Google Scholar]
- 7.Cutolo M, Smith V. Detection of microvascular changes in systemic sclerosis and other rheumatic diseases. Nat Rev Rheumatol 2021;17:665–77. 10.1038/s41584-021-00685-0 [DOI] [PubMed] [Google Scholar]
- 8.Smith V, Beeckman S, Herrick AL, et al. An EULAR study group pilot study on reliability of simple capillaroscopic definitions to describe capillary morphology in rheumatic diseases. Rheumatology (Oxford) 2016;55:883–90. 10.1093/rheumatology/kev441 [DOI] [PubMed] [Google Scholar]
- 9.Cutolo M, Melsens K, Herrick AL, et al. Reliability of simple capillaroscopic definitions in describing capillary morphology in rheumatic diseases. Rheumatology (Oxford) 2018;57:757–9. 10.1093/rheumatology/kex460 [DOI] [PubMed] [Google Scholar]
- 10.Cutolo M, Sulli A, Pizzorni C, et al. Nailfold videocapillaroscopy assessment of microvascular damage in systemic sclerosis. J Rheumatol 2000;27:155–60. [PubMed] [Google Scholar]
- 11.De Angelis R, Cutolo M, Gutierrez M, et al. Different Microvascular involvement in dermatomyositis and systemic sclerosis. A preliminary study by a tight videocapillaroscopic assessment. Clin Exp Rheumatol 2012;30:S67–70. [PubMed] [Google Scholar]
- 12.Manfredi A, Sebastiani M, Cassone G, et al. Nailfold capillaroscopic changes in dermatomyositis and polymyositis. Clin Rheumatol 2015;34:279–84. 10.1007/s10067-014-2795-8 [DOI] [PubMed] [Google Scholar]
- 13.Pizzorni C, Cutolo M, Sulli A, et al. Long-term follow-up of nailfold videocapillaroscopic changes in dermatomyositis versus systemic sclerosis patients. Clin Rheumatol 2018;37:2723–9. 10.1007/s10067-018-4211-2 [DOI] [PubMed] [Google Scholar]
- 14.Smith V, Vanhaecke A, Herrick AL, et al. Fast track algorithm: how to differentiate a "scleroderma pattern" from a "non-scleroderma pattern" Autoimmun Rev 2019;18:102394. 10.1016/j.autrev.2019.102394 [DOI] [PubMed] [Google Scholar]
- 15.Koenig M, Joyal F, Fritzler MJ, et al. Autoantibodies and microvascular damage are independent predictive factors for the progression of Raynaud’s phenomenon to systemic sclerosis: a twenty-year prospective study of 586 patients, with validation of proposed criteria for early systemic sclerosis. Arthritis Rheum 2008;58:3902–12. 10.1002/art.24038 [DOI] [PubMed] [Google Scholar]
- 16.Hysa E, Campitiello R, Sammorì S, et al. Specific autoantibodies and microvascular damage progression assessed by nailfold videocapillaroscopy in systemic sclerosis: are there peculiar associations? An update. Antibodies (Basel) 2023;12:3. 10.3390/antib12010003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Liem SIE, Neppelenbroek S, Fehres CM, et al. Progression from suspected to definite systemic sclerosis and the role of anti-topoisomerase I antibodies. RMD Open 2023;9:e002827. 10.1136/rmdopen-2022-002827 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.van den Hoogen F, Khanna D, Fransen J, et al. Classification criteria for systemic sclerosis: an American College of Rheumatology/European League against rheumatism collaborative initiative. Ann Rheum Dis 2013;72:1747–55. 10.1136/annrheumdis-2013-204424 [DOI] [PubMed] [Google Scholar]
- 19.Vanhaecke A, Cutolo M, Distler O, et al. Nailfold capillaroscopy in SSC: innocent bystander or promising biomarker for novel severe organ involvement/progression? Rheumatology (Oxford) 2022;61:4384–96. 10.1093/rheumatology/keac079 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Trombetta AC, Pizzorni C, Ruaro B, et al. Effects of longterm treatment with Bosentan and Iloprost on nailfold absolute capillary number, fingertip blood perfusion, and clinical status in systemic sclerosis. J Rheumatol 2016;43:2033–41. 10.3899/jrheum.160592 [DOI] [PubMed] [Google Scholar]
- 21.D’Oria M, Gandin I, Riccardo P, et al. Correlation between microvascular damage and internal organ involvement in scleroderma: focus on lung damage and endothelial dysfunction. Diagnostics 2023;13:55. 10.3390/diagnostics13010055 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Sulli A, Pizzorni C, Smith V, et al. Timing of transition between capillaroscopic patterns in systemic sclerosis. Arthritis Rheum 2012;64:821–5. 10.1002/art.33463 [DOI] [PubMed] [Google Scholar]
- 23.Cutolo M, Pizzorni C, Sulli A, et al. Early diagnostic and predictive value of capillaroscopy in systemic sclerosis. Curr Rheumatol Rev 2013;9:249–53. 10.2174/157339710904140417125010 [DOI] [PubMed] [Google Scholar]
- 24.Pacini G, Pogna A, Pendolino M, et al. Understanding the value of non-specific abnormal capillary dilations in presence of Raynaud’s phenomenon: a detailed capillaroscopic analysis. RMD Open 2022;8:e002449. 10.1136/rmdopen-2022-002449 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Nascif AKS, Terreri MTRA, Len CA, et al. Inflammatory myopathies in childhood: correlation between nailfold capillaroscopy findings and clinical and laboratory data. J Pediatr (Rio J) 2006;82:40–5. 10.2223/JPED.1435 [DOI] [PubMed] [Google Scholar]
- 26.Johnson D, van Eeden C, Moazab N, et al. Nailfold capillaroscopy abnormalities correlate with disease activity in adult dermatomyositis. Front Med (Lausanne) 2021;8:708432. 10.3389/fmed.2021.708432 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Wakura R, Matsuda S, Kotani T, et al. The comparison of nailfold videocapillaroscopy findings between anti-melanoma differentiation-associated gene 5 antibody and anti-aminoacyl tRNA synthetase antibody in patients with dermatomyositis complicated by interstitial lung disease. Sci Rep 2020;10:15692. 10.1038/s41598-020-72752-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Bertolazzi C, Cutolo M, Smith V, et al. State of the art on nailfold capillaroscopy in dermatomyositis and polymyositis. Semin Arthritis Rheum 2017;47:432–44. 10.1016/j.semarthrit.2017.06.001 [DOI] [PubMed] [Google Scholar]
- 29.Manfredi A, Sebastiani M, Campomori F, et al. Nailfold videocapillaroscopy alterations in dermatomyositis and systemic sclerosis: toward identification of a specific pattern. J Rheumatol 2016;43:1575–80. 10.3899/jrheum.160122 [DOI] [PubMed] [Google Scholar]
- 30.de Holanda Mafaldo Diógenes A, Bonfá E, Fuller R, et al. Capillaroscopy is a dynamic process in mixed connective tissue disease. Lupus 2007;16:254–8. 10.1177/0961203307076517 [DOI] [PubMed] [Google Scholar]
- 31.Hajas A, Szodoray P, Nakken B, et al. Clinical course, prognosis, and causes of death in mixed connective tissue disease. J Rheumatol 2013;40:1134–42. 10.3899/jrheum.121272 [DOI] [PubMed] [Google Scholar]
- 32.Bernardino V, Rodrigues A, Lladó A, et al. Nailfold capillaroscopy and autoimmune connective tissue diseases in patients from a Portuguese nailfold capillaroscopy clinic. Rheumatol Int 2020;40:295–301. 10.1007/s00296-019-04427-0 [DOI] [PubMed] [Google Scholar]
- 33.Todoroki Y, Kubo S, Nakano K, et al. Nailfold microvascular abnormalities are associated with a higher prevalence of pulmonary arterial hypertension in patients with MCTD. Rheumatology (Oxford) 2022;61:4875–84. 10.1093/rheumatology/keac165 [DOI] [PubMed] [Google Scholar]
- 34.Pizzorni C, Ferrari G, Schenone C, et al. Capillaroscopic analysis of the microvascular status in mixed versus undifferentiated connective tissue disease. Microvasc Res 2022;142:104367. 10.1016/j.mvr.2022.104367 [DOI] [PubMed] [Google Scholar]
- 35.Lambova SN, Müller-Ladner U. Capillaroscopic pattern in systemic lupus erythematosus and undifferentiated connective tissue disease: what we still have to learn Rheumatol Int 2013;33:689–95. 10.1007/s00296-012-2434-0 [DOI] [PubMed] [Google Scholar]
- 36.García-González M, Rodríguez-Lozano B, Bustabad S, et al. Undifferentiated connective tissue disease: predictors of evolution into definite disease. Clin Exp Rheumatol 2017;35:739–45. [PubMed] [Google Scholar]
- 37.Valentini G, Pope JE. Undifferentiated connective tissue disease at risk for systemic sclerosis: which patients might be labeled prescleroderma? Autoimmun Rev 2020;19:102659. 10.1016/j.autrev.2020.102659 [DOI] [PubMed] [Google Scholar]
- 38.Ferrari G, Gotelli E, Paolino S, et al. Antiphospholipid antibodies and anticoagulant therapy: capillaroscopic findings. Arthritis Res Ther 2021;23:175. 10.1186/s13075-021-02551-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Sulli A, Pizzorni C, Cutolo M. Nailfold videocapillaroscopy abnormalities in patients with antiphospholipid antibodies. J Rheumatol 2000;27:1574–6. [PubMed] [Google Scholar]
- 40.Vaz JLP, Dancour MAA, Bottino DA, et al. Nailfold videocapillaroscopy in primary antiphospholipid syndrome (PAPS). Rheumatology (Oxford) 2004;43:1025–7. 10.1093/rheumatology/keh233 [DOI] [PubMed] [Google Scholar]
- 41.Cutolo M, Melsens K, Wijnant S, et al. Nailfold capillaroscopy in systemic lupus erythematosus: a systematic review and critical appraisal. Autoimmun Rev 2018;17:344–52. 10.1016/j.autrev.2017.11.025 [DOI] [PubMed] [Google Scholar]
- 42.Ingegnoli F, Zeni S, Meani L, et al. Evaluation of nailfold videocapillaroscopic abnormalities in patients with systemic lupus erythematosus. J Clin Rheumatol 2005;11:295–8. 10.1097/01.rhu.0000191193.93720.95 [DOI] [PubMed] [Google Scholar]
- 43.Chebbi PP, Goel R, Ramya J, et al. Nailfold capillaroscopy changes associated with anti-RNP antibodies in systemic lupus erythematosus. Rheumatol Int 2022;42:1355–61. 10.1007/s00296-021-04894-4 [DOI] [PubMed] [Google Scholar]
- 44.Melsens K, Leone MC, Paolino S, et al. Nailfold capillaroscopy in Sjögren’s syndrome: a systematic literature review and standardised interpretation. Clin Exp Rheumatol 2020;38 Suppl 126:150–7. [PubMed] [Google Scholar]
- 45.Tektonidou M, Kaskani E, Skopouli FN, et al. Microvascular abnormalities in Sjögren’s syndrome: nailfold capillaroscopy. Rheumatology (Oxford) 1999;38:826–30. 10.1093/rheumatology/38.9.826 [DOI] [PubMed] [Google Scholar]
- 46.Capobianco KG, Xavier RM, Bredemeier M, et al. Nailfold capillaroscopic findings in primary Sjögren’s syndrome: clinical and serological correlations. Clin Exp Rheumatol 2005;23:789–94. [PubMed] [Google Scholar]
- 47.Hysa E, Pizzorni C, Sammori S, et al. Capillaroscopic findings in autoimmune connective tissue diseases: results from 20 years of experience in a training referral center. Arthritis Rheumatol 2022;74. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
Data are available upon reasonable request.

