Notice bibliographique
Résumé
Objectives To evaluate the annual direct medical costs and the impact of SLE disease severity and flares on incremental costs in autoantibody positive SLE patients (pts) managed by specialists. Methods A retrospective study was conducted in three Canadian academic medical centers with established cohorts of SLE patients. Data on patient characteristics, disease activity and severity, and medical resource utilization were collected through chart review. Consecutive pts seen in clinic between July 2007 and June 2008 were screened for SLE flares and disease severity using predefined decision rules for both. The number and proportion of pts with severe and non-severe SLE was also defined a priori. Patients who met the inclusion criteria were stratified by disease severity (severe and non-severe active SLE) and followed for 2 yrs (±6 mths after the inclusion visit). Severe disease was defined as involvement of renal, neurological, cardiovascular or respiratory systems which required >7.5 mg/day of corticosteroids and/or immunosuppressants or any SLE manifestation that required at least 30mg/day of corticosteroids at the inclusion visit. A modified SELENA-SLEDAI Flare Index was used to identify mild/moderate and severe flares. Costs were calculated by multiplying each health resource utilized (i.e., lab and imaging tests, biopsies, meds, specialist visits, day hospitalizations, emerg visits, inpatient and rehab stays) by its corresponding CAD unit cost. Total unadjusted mean costs and costs associated with flares were assessed over 2 yrs and expressed in CAD dollars. The analyses were primarily performed using appropriate descriptive statistics for continuous and categorical data. Multiple regression analyses was used to identify the association between 2 yr costs and number of mild/moderate flares and number of severe flares, adjusting for age and SLICC/ACR damage index score. Results A total of 109 pts, 93.6% female, with a mean (SD) age of 41.4 (±15.4) yrs and mean disease duration of 11.9 (±12.6) yrs were studied. At enrollment, 56 pts had severe active SLE and 53 had non-severe active SLE. The mean number of flares for severe and non-severe pts over the study period was 2.68 and 1.91 respectively (p=0.005). Patients in the severe patient group had a higher number of severe flares compared to pts with non-severe SLE (1.82 vs. 0.70; p<0.001), while the mild/moderate flare rate did not differ significantly (0.86 vs. 1.21; p=0.063). The average annual direct medical costs were $9,871 and were significantly higher for pts with severe disease compared to those with non-severe SLE ($14,172 vs. $5,326; p<0.001). The average annual direct costs for pts with at least one flare were $10,544 compared to $5,144 (p<0.001) for pts without flares. Regression analysis showed a mean incremental cost of $5,563 for a severe flare, but no significant incremental cost with mild/moderate flares when adjusted for other variables in the model. Conclusions Patients with severe active SLE have 2.7 times higher annual costs compared to pts with non-severe disease. Patients experiencing at least one flare incurred 2 times more costs annually than those without flares. Direct healthcare costs in Canada are influenced by SLE disease severity in addition to the type and frequency of SLE flares. Disclosure of Interest A. Clarke Consultant for: the study and received funds from GSK/HGS, is a consultant for MedImmune and Bristol Myers Squibb, and received research grants from GSK and funds from GSK/HGS for the writing of this abstract. M. Urowitz Consultant for: the study and received funds from GSK/HGS, is a consultant for UCB, Merck/Serono, and received funds from GSK/HGS for the writing of this abstract., N. Monga Employee of: GlaxoSmithKline, N. Topors Shareholder of: GlaxoSmithKline, Employee of: GlaxoSmithKline, J. Hanly Consultant for: the study and received funds from GSK/HGS, received a grant from GSK, and received funds from GSK/HGS for the writing of this abstract.
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 | 0,005 | 0,053 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,003 |
| Communication savante | 0,003 | 0,004 |
| Science ouverte | 0,003 | 0,002 |
| Intégrité de la recherche | 0,019 | 0,026 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,027 | 0,016 |
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 ».