IS THERE A ROLE FOR ULTRA-HIGH FREQUENCY ULTRASOUND IN THE ASSESSMENT OF SKIN INVOLVEMENT IN SYSTEMIC LUPUS ERYTHEMATOSUS? PRELIMINARY INSIGHTS FROM A MONOCENTRIC COHORT.
Notice bibliographique
Résumé
PV221 / #530 Poster Topic: AS23 - SLE-Diagnosis, Manifestations, & Outcomes Background/Purpose The assessment of skin involvement in Systemic Lupus Erythematosus (SLE) can represent a challenge for clinicians, not only in the differential diagnosis with other dermatological conditions but also in discerning SLE cutaneous disease activity from damage. This results in a need to optimize the management of SLE patients with mucocutaneous involvement, as the development of skin damage may be early during disease course. Ultra-high frequency ultrasound (UHFUS), with submillimeter resolution, is a promising tool for evaluating superficial structures, finding increasing application in the field of dermatology in recent years. The aim of the study was to explore a possible role of UHFUS assessment in the evaluation of skin involvement in a monocentric cohort of SLE patients. Methods Consecutive adult SLE patients (2019 EULAR/ACR criteria) regularly followed at our Lupus Clinic were prospectively enrolled during a scheduled outpatient visit in presence of skin lesions. Demographical, clinical, serological and treatment data were collected at enrollment. Disease activity and organ damage were evaluated with the Systemic Lupus Erythematosus Disease Activity Index 2000 (SLEDAI-2K) and SLICC/ACR Damage Index (SDI), respectively. Clinical assessment of skin lesions was done by an experienced rheumatologist using the Cutaneous LE Disease Area and Severity Index (CLASI); at the same time, UHFUS evaluation of skin lesions was performed with a 70 MHz probe by an experienced dermatologist. The Skindex-16 questionnaire was used to assess the impact of skin involvement on patients’ quality of life. Results We included 94 assessments in 59 SLE patients with skin lesions. Cutaneous disease subtypes were distributed as follows: 18/59 acute (30.5%), 8/59 subacute (13.6%), 27/59 chronic (45.8%); a minority of patients had nonspecific skin lesions (10.2%). The characteristics of the cohort are detailed in Table 1. At the clinical evaluation, concomitant presence of active lesions and skin damage was observed in 52/94 cases (55.3%), presence of active skin lesions without damage in 40/94 cases (42.6%), while only skin damage in 2/94 cases (2.1%). The most frequent UHFUS alteration was the presence of power Doppler (68/94, 72.3%), followed by dermal edema (43/94, 45.7%), dermal inhomogeneity (41/94, 43.6%), follicular plugging (37/94, 39.4%), vascular ectasia (30/94, 31.9%), thinning (11/94, 11.7%) and thickening (9/94, 9.6%) of the epidermis. The CLASI activity score was significantly higher in cutaneous areas with power Doppler signal ( p = 0.005). Dermal edema was also found to be associated with higher CLASI activity scores, considered both globally ( p = 0.004) and at the level of the US-evaluated area ( p < 0.001). Skindex-16 symptoms subscale scores were significantly higher in patients with UHFUS findings of power Doppler ( p = 0.01) and thinning of the epidermis ( p = 0.04). Moreover, we found a positive correlation between CLASI activity and the scores of all Skindex-16 subscales (Rho 0.324, p = 0.002 for symptoms; Rho 0.312, p = 0.003 for emotions; Rho 0.378, p < 0.001 for functioning), also present but weaker between CLASI-Damage and the symptoms (Rho 0.228, p = 0.032) and functioning (Rho 0.275, p = 0.009) domains. Table 1: characteristics of the cohort Conclusions Our preliminary data demonstrate that UHFUS presence of power Doppler and dermal edema is associated with skin activity clinically assessed by CLASI. These findings suggest that UHFUS may play a role in supporting the clinician in the differential diagnosis between active skin lesions and damage, to optimize the management of skin involvement in SLE.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».