Systemic sclerosis & Raynaud's
Evaluation of Nailfold Capillaroscopy Online Training Using the Fast Track Algorithm
Authors' conclusion
In this first study evaluating NFC online training using the Fast Track algorithm, we showed very good inter- and intrarater agreement for the identification of scleroderma and nonscleroderma NFC pattern
Study context
- Population
- Participants of an online nailfold capillaroscopy (NFC) training workshop taught the EULAR Fast Track algorithm, evaluating 45 NFC images61 in reevaluation
- Participants
- 98 participants
- Outcome
- Inter- and intrarater Cohen κ agreement for scleroderma vs nonscleroderma NFC pattern
Methodological detailsonline training workshop, inter- and intrarater agreement (Cohen κ), reevaluation 2 to 4 weeks later
- Online training workshop
- Inter- and intrarater agreement (Cohen κ)
- Reevaluation 2 to 4 weeks later
Main finding
As reported in the abstract
Scleroderma vs nonscleroderma pattern, mean κ (95% CI)
Interrater κ, mean
0.86 (0.83-0.88) (95% CI)
Intrarater κ, mean
0.83 (0.79-0.87) (95% CI)
Further findings
Overall: scleroderma, nonscleroderma (normal) and nonscleroderma (nonspecific) patterns, κ
- Interrater κ
- 0.71 (0.69-0.74) (95% CI)
- Intrarater κ
- 0.71 (0.67-0.75) (95% CI)
Nonscleroderma (normal) vs nonscleroderma (nonspecific) pattern, κ
- Interrater κ
- 0.59 (0.55-0.63) (95% CI)
- Intrarater κ
- 0.59 (0.54-0.65) (95% CI)
Original publication
Evaluation of Nailfold Capillaroscopy Online Training Using the Fast Track Algorithm. J Rheumatol. Published 1 December 2022. doi:10.
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