Raynaud phenomenon is triggered by cold exposure in >95% of attacks. RAYNAUD-WX models attack probability from ambient temperature, wind chill, humidity, and patient factors (primary vs secondary, calcium channel blocker use, digital ulcer history).
Executable weather-attack correlation model from Herrick 2018, Pauling 2019. Correlation-based, not prospectively validated.
We implement a weather-based Raynaud attack frequency estimator using published temperature-attack correlations (Herrick 2018, Pauling 2019). The model takes ambient temperature, humidity, wind chill, and patient-specific factors (primary vs secondary, calcium channel blocker use, digital ulcer history) to estimate daily attack probability.
We present an automated pipeline for nailfold capillaroscopy (NFC) image analysis that classifies scleroderma microangiopathy into Cutolo patterns (Early/Active/Late) using quantitative capillary morphometry. The system extracts capillary density, width, giant capillary count, hemorrhages, avascular score, and ramified capillary count, then applies a trained classifier to stage microangiopathy with a continuous Microangiopathy Evolution Score (MES, 0-10).