Systemic sclerosis & Raynaud's
Evaluation of different algorithms to identify the scleroderma pattern in nailfold videocapillaroscopy
Authors' conclusion
The combination of two capillaroscopy parameters (giant capillaries and capillary density) inspired by the Fast Track and CAPI-score, was highly accurate for defining the scleroderma pattern in our cohort.
Study context
- Population
- Nailfold videocapillaroscopy (NVCs) of individuals with and without Raynaud's phenomenon (RP) and autoimmune rheumatic diseasesNVCs analysed
- Participants
- 258 nvcs
- Comparison
- Capillaroscopic parameters and algorithms (Fast Track algorithm, CAPI-score) for identifying the scleroderma pattern
- Outcome
- Accuracy and AUC of qualitative and quantitative NVC parameters to discriminate scleroderma vs non-scleroderma pattern
Performance
As reported in the abstract
Identification of scleroderma pattern
| Test or model | AUC | Specificity | Accuracy |
|---|---|---|---|
| Density ≤8 capillaries/mm | 0.911 (95% CI 0.871-0.950) | — not stated in the abstract | 87.94% |
| Giant capillaries | — not stated in the abstract | 98.09% | 85.66% |
| Giant capillaries + ≤8 capillaries/mm | — not stated in the abstract | — not stated in the abstract | 91.08% |
| Giant capillaries + ≤7 capillaries/mm | — not stated in the abstract | — not stated in the abstract | 86.82% |
AUC
Density ≤8 capillaries/mm0.911 (95% CI 0.871-0.950)
Giant capillaries— not stated in the abstract
Giant capillaries + ≤8 capillaries/mm— not stated in the abstract
Giant capillaries + ≤7 capillaries/mm— not stated in the abstract
Specificity
Density ≤8 capillaries/mm— not stated in the abstract
Giant capillaries98.09%
Giant capillaries + ≤8 capillaries/mm— not stated in the abstract
Giant capillaries + ≤7 capillaries/mm— not stated in the abstract
Accuracy
Density ≤8 capillaries/mm87.94%
Giant capillaries85.66%
Giant capillaries + ≤8 capillaries/mm91.08%
Giant capillaries + ≤7 capillaries/mm86.82%
— not stated in the abstract
- Scleroderma pattern identified
- 101 (39.15%) NVCs
Original publication
Evaluation of different algorithms to identify the scleroderma pattern in nailfold videocapillaroscopy. Clin Exp Rheumatol. Published 1 August 2025. doi:10.
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