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RhumatologueMédecins généralistes et spécialistes👤 Libéral intégral

M. Docteur ROMAIN BRIER

📍 Le Mans (72)Mixte💶 Secteur 2RPPS 10101990561
📕 1 livre

Diplômes

🎓 DES & spécialité ordinale

  • DES Rhumatologie
  • Rhumatologie (SM)

🎓 Diplômes

  • DE Docteur en médecine

Source : Annuaire Santé ANS (FHIR Practitioner.qualification) · Mises à jour quotidiennes.

Livres & ouvrages

Source : Google Books — filtre catégories médicales/santé/sciences.

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Adresses géocodées via la Base Adresse Nationale (api-adresse.data.gouv.fr). Précision indicative.

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Tarifs & secteur de conventionnement

🟡 Secteur 2 — Honoraires libresSource CNAM (Annuaire santé Ameli)
💳 Carte VitaleLibéral intégral

Prendre rendez-vous & contact

Lien Doctolib = recherche Google site:doctolib.fr (le 1er résultat est presque toujours le profil correct s'il existe).

Top publications · les plus citées

  • 1
    Confirmation of TNIP1 and IL23A as susceptibility loci for psoriatic arthritis

    Annals of the rheumatic diseases · 2011

    📚 102 citations🎯 RCR 2.43Top 21% NIH🔓 Open Access📄 PDF gratuit ↗
  • 2
    Evaluation of short-term mortality in patients with Medicare undergoing endovascular interventions for chronic limb-threatening ischemia

    Vascular medicine (London, England) · 2024

    📚 4 citations🎯 RCR 1.20
    Lire l'abstract Crossref ↓

    Introduction: Patients with chronic limb-threatening ischemia (CLTI) have high mortality rates after revascularization. Risk stratification for short-term outcomes is challenging. We aimed to develop machine-learning models to rank predictive variables for 30-day and 90-day all-cause mortality after peripheral vascular intervention (PVI). Methods: Patients undergoing PVI for CLTI in the Medicare-linked Vascular Quality Initiative were included. Sixty-six preprocedural variables were included. Random survival forest (RSF) models were constructed for 30-day and 90-day all-cause mortality in the training sample and evaluated in the testing sample. Predictive variables were ranked based on the frequency that they caused branch splitting nearest the root node by importance-weighted relative importance plots. Model performance was assessed by the Brier score, continuous ranked probability score, out-of-bag error rate, and Harrell’s C-index. Results: A total of 10,114 patients were included. The crude mortality rate was 4.4% at 30 days and 10.6% at 90 days. RSF models commonly identified stage 5 chronic kidney disease (CKD), dementia, congestive heart failure (CHF), age, urgent procedures, and need for assisted care as the most predictive variables. For both models, eight of the top 10 variables were either medical comorbidities or functional status variables. Models showed good discrimination (C-statistic 0.72 and 0.73) and calibration (Brier score 0.03 and 0.10). Conclusion: RSF models for 30-day and 90-day all-cause mortality commonly identified CKD, dementia, CHF, need for assisted care at home, urgent procedures, and age as the most predictive variables as critical factors in CLTI. Results may help guide individualized risk-benefit treatment conversations regarding PVI.

Publications scientifiques (2) — classées par pathologie

Source PubMed · Recherche par auteur (homonymes possibles, vérifier l'affiliation).

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