📇 Rhumatologue · COMPIEGNE · (60) · Libéral

M SIREYRITH ENG

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16 articles scientifiques publiés — formation continue solide
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📍 COMPIEGNE (60)LibéralRPPS 10001797371

✨ Génération du profil synthétique IA en cours…

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CPTS 3 RUE DU FONDS PERNANT, 60200 COMPIEGNE
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CABINET DU DR SIREYRITH ENG
66 RUE EDOUARD MEUNIER, 60150 LE PLESSIS BRION
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Top publications · les plus citées

The biologic basis of clinical heterogeneity in juvenile idiopathic arthritis

Arthritis & rheumatology (Hoboken, N.J.) · 2014

📚 60 citations🎯 RCR 2.13Top 25% NIH🔓 Open Access📄 PDF gratuit ↗

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ObjectiveChildhood arthritis encompasses a heterogeneous family of diseases. Significant variation in clinical presentation remains despite consensus‐driven diagnostic classifications. Developments in data analysis provide powerful tools for interrogating large heterogeneous data sets. We report a novel approach to integrating biologic and clinical data toward a new classification for childhood arthritis, using computational biology for data‐driven pattern recognition.MethodsProbabilistic principal components analysis was used to transform a large set of data into 4 interpretable indicators or composite variables on which patients were grouped by cluster analysis. Sensitivity analysis was conducted to determine key variables in determining indicators and cluster assignment. Results were validated against an independent validation cohort.ResultsMeaningful biologic and clinical characteristics, including levels of proinflammatory cytokines and measures of disease activity, defined axes/indicators that identified homogeneous patient subgroups by cluster analysis. The new patient classifications resolved major differences between patient subpopulations better than International League of Associations for Rheumatology subtypes. Fourteen variables were identified by sensitivity analysis to crucially determine indicators and clusters. This new schema was conserved in an independent validation cohort.ConclusionData‐driven unsupervised machine learning is a powerful approach for interrogating clinical and biologic data toward disease classification, providing insight into the biology underlying clinical heterogeneity in childhood arthritis. Our analytical framework enabled the recovery of unique patterns from small cohorts and addresses a major challenge, patient numbers, in studying rare diseases.

Childhood Takayasu arteritis: disease course and response to therapy

Arthritis research & therapy · 2017

📚 53 citations🎯 RCR 3.10Top 15% NIH🔓 Open Access📄 PDF gratuit ↗

Patterns of joint involvement in juvenile idiopathic arthritis and prediction of disease course: A prospective study with multilayer non-negative matrix factorization

PLoS medicine · 2019

📚 43 citations🎯 RCR 2.26Top 23% NIH🔓 Open Access

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M SIREYRITH ENG

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Publications scientifiques (16) — classées par pathologie

Arthrite juvénile5

Essai clinique3

Pharmacovigilance3

AINS2

IA en rhumatologie2

Biomarqueurs / Auto-Ac1

IRM ostéo-articulaire1

Sclérodermie1

Tendinopathies & SCC1

Transversal1

Vascularites des gros vaisseaux1

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