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Enregistrement W4379524167 · doi:10.1136/annrheumdis-2023-eular.2397

POS0921 INFLUENCE OF HLA-B27 STATUS ON MR IMAGING FINDINGS IN PATIENTS WITH LOW BACK PAIN

2023· article· en· W4379524167 sur OpenAlexfundno aff
Sevtap Tugce Ulas, Fabian Proft, Torsten Diekhoff, Valeria Ríos Rodríguez, J. Rademacher, Mikhail Protopopov, Denis Poddubnyy, Katharina Ziegeler

Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomaineMedicine
ThématiqueSpondyloarthritis Studies and Treatments
Établissements canadiensnon disponible
Organismes subventionnairesArthritis SocietyNederlandse Organisatie voor Wetenschappelijk OnderzoekDutch Arthritis SocietyGilead SciencesAmgenPfizerEli Lilly and CompanyBristol-Myers SquibbBerlin Institute of HealthGlaxoSmithKline
Mots-clésMedicineAnkylosisHLA-B27Sacroiliac jointLow back painBASDAIPopulationEdemaMetaplasiaInternal medicinePathologyPsoriatic arthritisSurgeryArthritisHuman leukocyte antigenImmunologyAntigen

Résumé

récupéré en direct d'OpenAlex

Background The knowledge of factors influencing the susceptibility to and extent of changes at the sacroiliac joints (SIJs) are of great importance in the understanding of pathophysiological processes in axial spondyloarthritis (axSpA)[1]. Recent studies showed that previous delivery and the HLA-B27 status have a special role in the expression of bone marrow edema at the SIJs in the general population. Furthermore, the influence of HLA-B27 differed in men and women[1 2]. Objectives The aim of this study was to investigate the sex-specific influence of the HLA-B27 status on the SIJ lesions such as ankylosis, erosion, fat metaplasia and bone marrow edema and its distribution and extent in patients with low back pain of non-inflammatory origin. Methods In this post-hoc analysis, 139 patients (90 women and 49 men) with low back pain of mechanical/ non-inflammatory origin (after exclusion of axSpA) were included. The MR images of the sacroiliac joints were scored by two trained readers separately for the presence of axSpA features: ankylosis, erosions, sclerosis, fat metaplasia and bone marrow edema. The scoring was performed for the three SIJ regions (ventral/middle/dorsal) differentiated for the sacral and iliac sides. Frequencies of lesions per joint region were compared between HLA-B27 positive and negative individuals using Chi-squared tests. Extent of lesions, expressed as sum scores were compared using T-tests. All analyses were carried out for the entire group and for men and women separately. Results A total of 90 women and 49 men were included in this post-hoc-analysis. HLA-B27 was positive in 33/90 women (36.7%), while this was the case in 23/49 men (46.9%) (further clinical data is given in Table 1). There was no difference in frequency of overall occurrence of erosion (22.9% vs. 16.1%; p = 0.392), sclerosis (48.2% vs. 48.2%; p > 0.999), fat metaplasia (12.0% vs. 7.1%; p = 0.403), bone marrow edema (28.9% vs. 32.1%; p = 0.710) and ankylosis (2.4% vs. 3.6%; p > 0.999) between HLA-B27 negative and positive individuals, respectively. A detailed graphical representation of spatial distribution of lesion within the joint is given in Figure 1. Conclusion In our cohort of pre-selected patients with chronic low back pain and after exclusion of axSpA, the HLA-B27 status did not determine extent or pattern of imaging lesions in either men or women. These results somewhat contradict previously published data on healthy volunteers. This indicates that further studies are needed especially in the investigation of the sex-specific influence of HLA-B27 status on imaging lesions. References [1]Baraliakos X, Richter A, Feldmann D, et al. Which factors are associated with bone marrow oedema suspicious of axial spondyloarthritis as detected by MRI in the sacroiliac joints and the spine in the general population? Ann Rheum Dis 2021;80(4):469-74. doi: 10.1136/annrheumdis-2020-218669 [published Online First: 20201125] [2]Braun J, Baraliakos X, Bulow R, et al. Striking sex differences in magnetic resonance imaging findings in the sacroiliac joints in the population. Arthritis Res Ther 2022;24(1):29. doi: 10.1186/s13075-021-02712-7 [published Online First: 20220120] Acknowledgements: NIL. Disclosure of Interests Sevtap Tugce Ulas Grant/research support from: STU reports funding from the Berlin Institute of Health (BIH) during the conduct of this study (Junior Digital Clinician Scientist Programme)., Fabian Proft Speakers bureau: FP reports grants and personal fees from Novartis, Lilly and UCB, as well as personal fees from AbbVie, AMGEN, BMS, Hexal, Janssen, MSD, Pfizer and Roche., Grant/research support from: FP reports grants and personal fees from Novartis, Lilly and UCB, as well as personal fees from AbbVie, AMGEN, BMS, Hexal, Janssen, MSD, Pfizer and Roche., Torsten Diekhoff Speakers bureau: TD reports personal fees from MSD, Novartis and Eli Lilly., Grant/research support from: TD reports funding from the Berlin Institute of Health (BIH) during the conduct of this study., Valeria Rios Rodriguez Speakers bureau: VRR reports personal fees from AbbVie and Falk e.V., Judith Rademacher Grant/research support from: JR reports funding from the Berlin Institute of Health (BIH) during the conduct of this study (Clinician Scientist Programme)., Mikhail Protopopov Speakers bureau: MP reports personal fees from UCB and Novartis., Denis Poddubnyy Speakers bureau: DP reports personal fees from AbbVie, Eli Lilly, MSD, Novartis, Pfizer, Bristol-Myers Squibb, Roche, UCB, Biocad, GlaxoSmithKline and Gilead outside the submitted work., Grant/research support from: DP reports grants from AbbVie, Eli Lilly, MSD, Novartis, Pfizer and personal fees from Bristol-Myers Squibb, Roche, UCB, Biocad, GlaxoSmithKline and Gilead outside the submitted work., Katharina Ziegeler Grant/research support from: KZ reports funding (research grant) from the Assessment of Spondyloarthritis international Society (ASAS) during the conduct of this study.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,004
Score d'incertitude au seuil0,012

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

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.

Tête enseignante Opus0,005
Tête enseignante GPT0,230
Écart entre enseignants0,225 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2023
Routes d'admission1
Résumé présentoui

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