CONSTRUCT VALIDITY OF THE EQ-5D-5L IN CUTANEOUS LUPUS ERYTHEMATOSUS: A SECONDARY DATA ANALYSIS
Notice bibliographique
Résumé
PV067 / #449 Poster Topic: AS07 - Cutaneous Lupus Background/Purpose Cutaneous lupus erythematosus (CLE) significantly impacts health-related quality of life (HRQoL). Although the EuroQol 5 Dimensions 5 Levels (EQ-5D-5L) is a widely used HRQoL measure, its psychometric properties in CLE have not been previously investigated. Given the important role of the EQ-5D-5L in health technology assessments (HTA), establishing the validity of this instrument is crucial for accurately reflecting health status and treatment effects in CLE, thereby guiding clinical and HTA decision making and improving patient care. Therefore, this study aimed to investigate the construct validity of the EQ-5D-5L in people with CLE. Methods This was a secondary analysis of data from a prospective, cross-sectional, multicenter, multinational study assessing pruritis in participants with CLE.[1] Outcome measures included the EQ-5D-5L, Dermatology Life Quality Index (DLQI), Cutaneous Lupus Erythematosus Disease Area and Severity Index-Activity Scale (CLASI-A), Worst Itch Numeric Rating Scale (NRS), Worst Pain NRS, and the 12-item Pruritus Severity Scale (12-PSS). Descriptive analyses were performed on all demographic and disease characteristic variables. Convergent validity was assessed by examining correlations between the EQ-5D-5L domains and derived EQ-5D-5L index value with other disease-specific measures. Known-groups validity was evaluated by analyzing whether the EQ-5D-5L captured expected differences among participant groups with different CLASI-A severity levels: mild (score 0-9), moderate (10-20), and severe (21-70). Results A total of 149 people with CLE were included in the study; 75% were female and 79% were Caucasian/White, with a mean (SD) age of 49.6 (15.5) years. Mean (SD) CLASI-A score was 7.35 (7.77; n = 134) and EQ-5D-5L index value was 0.81 (0.21; n = 137). The EQ-5D-5L index value showed statistically significant low moderate (with CLASI-A and Worst Itch NRS) to high moderate (with DLQI, 12-PSS, and Worst Pain NRS) correlations with select reference variables. The known-groups hypothesis was confirmed with a medium effect size of η² = 0.11. Only the Pain/Discomfort and Anxiety/Depression domains demonstrated statistically significant low moderate to high moderate correlations with at least 2 reference variables. The known-groups hypothesis was confirmed for the Self-Care, Pain/Discomfort, and Anxiety/Depression domains with small to medium η² effect sizes (0.05 ≤ η² ≤ 0.08). Sensitivity analyses, excluding 5 outliers, resulted in the disappearance of all high moderate correlations of the EQ-5D-5L domains and derived EQ-5D-5L index value. Only the known-groups hypothesis of the EQ-5D-5L index value and the Self-Care domain remained confirmed, but with a diminished small (η² = 0.06) and medium (η² = 0.10) effect size. Conclusions This study is the first to investigate the construct validity of the EQ-5D-5L in CLE, indicating moderate convergent and known-groups validity. However, sensitivity analysis results were notably weaker, compromising the robustness of the findings and suggesting potential limitations in the ability of the EQ-5D-5L measure to fully capture all health status dimensions relevant to CLE. Further psychometric studies are warranted to determine the overall appropriateness of the EQ-5D-5L in CLE. References: [1.] Samotij D. Lupus 2021;30:1385-93. Funding: The healthcare business of Merck KGaA, Darmstadt, Germany (CrossRef Funder ID: 10.13039/100009945) funded the study and editorial support by Bioscript Group.
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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 | 0,016 | 0,033 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,003 |
| Bibliométrie | 0,004 | 0,003 |
| 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 | 0,001 |
| 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 ».