Objectives: To assess the relationship between disease duration and the prevalence/distribution of nailfold videocapillaroscopy (NVC) patterns, named according to the current classification as ‘early’, ‘active’ and ‘late’, in a large cohort of systemic sclerosis (SSc) patients. Methods: A cross-sectional analysis was conducted on 1689 patients undergoing standardized NVC. Clinical-serological data and treatments were collected. Statistical comparisons and multivariable logistic regression models were applied, including analyses based on disease duration. Results: The prevalence of NVC patterns was as follows: ‘early’ 21.6%, ‘active’ 47.4%, ‘late’ 25.7% and normal/non-specific 5.3%. The distribution by disease duration showed that the three main patterns were always present. While the ‘early’ and ‘active’ progressively decreased (from 30.3% and 51.9% in patients with ≤5 yrs, to 14.6% and 43.5% in those >10 yrs, P < 0.01), the ‘late’ pattern increased from 13.2% (≤5 yrs) to 36.0% (>10 yrs) (P < 0.001) and was associated with internal organ involvement, anti-topoisomerase antibodies and more therapies (P < 0.01). Conversely, the ‘early’ and ‘active’ patterns were associated with the limited-cutaneous subset (P < 0.01) and anti-centromere antibodies (P < 0.001). Multivariable analysis confirmed a strong association between the ‘late’ pattern and skin/peripheral vascular involvement. Notably, the presence of the ‘late’ pattern in patients with ≤2 yrs (10.9%) was significantly associated with scleroderma renal crisis (P ¼ 0.012). Conclusion: SSc-NVC patterns are not strictly time-dependent and can be observed at any stage of the disease, suggesting that microvascular damage progression is heterogeneous across different disease periods. Therefore, a revised classification of NVC changes considering both disease duration and NVC severity could improve its prognostic accuracy.
Prevalence, distribution and associations of the scleroderma capillaroscopic patterns: new insights from the Italian SPRING-SIR registry / De Angelis, Rossella; Ferri, Clodoveo; Cipolletta, Edoardo; Riccieri, Valeria; Di Battista, Marco; Bajocchi, Gianluigi; Bellando-Randone, Silvia; Bruni, Cosimo; Orlandi, Martina; Zanframundo, Giovanni; Foti, Roberta; Cuomo, Giovanna; Ariani, Alarico; Rosato, Edoardo; Lepri, Gemma; Girelli, Francesco; Zanatta, Elisabetta; Bosello, Silvia Laura; Cavazzana, Ilaria; Ingegnoli, Francesca; De Santis, Maria; Cacciapaglia, Fabio; Murdaca, Giuseppe; Abignano, Giuseppina; Pettiti, Giorgio; Della Rossa, Alessandra; Caminiti, Maurizio; Iuliano, Anna Maria; Ciano, Giovanni; Beretta, Lorenzo; Bagnato, Gianluca; Lubrano, Ennio; De Andres, Ilenia; Idolazzi, Luca; Saracco, Marta; Agnes, Cecilia; Campochiaro, Corrado; Fornaro, Marco; Lumetti, Federica; Spinella, Amelia; Cocchiara, Emanuele; De Luca, Giacomo; Codullo, Veronica; Visalli, Elisa; Iandoli, Carlo; Gigante, Antonietta; Pellegrino, Greta; Pigatto, Erika; Lazzaroni, Maria Grazia; De Lorenzis, Enrico; Motta, Francesca; Tonutti, Antonio; Mennillo, Gianna; Pagano-Mariano, Giuseppa; Furini, Federica; Vultaggio, Licia; Parisi, Simone; Peroni, Clara Lisa; Bianchi, Gerolamo; Fusaro, Enrico; Sebastiani, Gian Domenico; Govoni, Marcello; D'Angelo, Salvatore; Cozzi, Franco; Franceschini, Franco; Guiducci, Serena; Giuggioli, Dilia; Dagna, Lorenzo; Doria, Andrea; Salvarani, Carlo; Iannone, Florenzo; Matucci-Cerinic, Marco. - In: RHEUMATOLOGY. - ISSN 1462-0332. - ELETTRONICO. - 65:(2026), pp. keaf672.65-keaf672.68. [10.1093/rheumatology/keaf672]
Prevalence, distribution and associations of the scleroderma capillaroscopic patterns: new insights from the Italian SPRING-SIR registry
Bellando-Randone, Silvia;Lepri, Gemma;Guiducci, Serena;
2026
Abstract
Objectives: To assess the relationship between disease duration and the prevalence/distribution of nailfold videocapillaroscopy (NVC) patterns, named according to the current classification as ‘early’, ‘active’ and ‘late’, in a large cohort of systemic sclerosis (SSc) patients. Methods: A cross-sectional analysis was conducted on 1689 patients undergoing standardized NVC. Clinical-serological data and treatments were collected. Statistical comparisons and multivariable logistic regression models were applied, including analyses based on disease duration. Results: The prevalence of NVC patterns was as follows: ‘early’ 21.6%, ‘active’ 47.4%, ‘late’ 25.7% and normal/non-specific 5.3%. The distribution by disease duration showed that the three main patterns were always present. While the ‘early’ and ‘active’ progressively decreased (from 30.3% and 51.9% in patients with ≤5 yrs, to 14.6% and 43.5% in those >10 yrs, P < 0.01), the ‘late’ pattern increased from 13.2% (≤5 yrs) to 36.0% (>10 yrs) (P < 0.001) and was associated with internal organ involvement, anti-topoisomerase antibodies and more therapies (P < 0.01). Conversely, the ‘early’ and ‘active’ patterns were associated with the limited-cutaneous subset (P < 0.01) and anti-centromere antibodies (P < 0.001). Multivariable analysis confirmed a strong association between the ‘late’ pattern and skin/peripheral vascular involvement. Notably, the presence of the ‘late’ pattern in patients with ≤2 yrs (10.9%) was significantly associated with scleroderma renal crisis (P ¼ 0.012). Conclusion: SSc-NVC patterns are not strictly time-dependent and can be observed at any stage of the disease, suggesting that microvascular damage progression is heterogeneous across different disease periods. Therefore, a revised classification of NVC changes considering both disease duration and NVC severity could improve its prognostic accuracy.I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.



