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Enregistrement W4401182168 · doi:10.1007/s12325-024-02946-2

Four-Strata Risk Assessment in Patients with Pulmonary Arterial Hypertension Treated with Selexipag in Real-World Settings (EXPOSURE Study)

2024· article· en· W4401182168 sur OpenAlexaboutno aff
Tobias J. Lange, Pilar Escribano Subías, Audrey Muller, Catarina Fernandes, Martina Fontana, Tatiana Remeňová, Stefan Söderberg, Seán Gaine

Notice bibliographique

RevueAdvances in Therapy · 2024
Typearticle
Langueen
DomaineMedicine
ThématiquePulmonary Hypertension Research and Treatments
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineRheumatologyInternal medicineCardiologyPulmonary hypertension

Résumé

récupéré en direct d'OpenAlex

Risk assessment can aid management of pulmonary arterial hypertension (PAH) and clinical decision-making. This analysis describes characteristics, treatment patterns and outcomes of patients with PAH, categorised by risk status at time of treatment escalation with selexipag in clinical settings. Patients initiating selexipag in the ongoing multicentre, prospective EXPOSURE (EUPAS19085) study were grouped as low, intermediate-low, intermediate-high or high risk of 1-year mortality according to the ESC/ERS 4-strata method. As of November 2022, 77% (535/698) of patients initiating selexipag had data allowing for risk calculation; 14% (N = 76) were low, 31% (N = 168) intermediate-low, 34% (N = 182) intermediate-high and 20% (N = 109) high risk of 1-year mortality. Overall, patients were predominantly female (71%), with idiopathic/heritable PAH (56%) or PAH associated with connective tissue disease (CTD-PAH; 27%), median age of 60 years and prevalent (2 years) disease. From low to high risk, proportion of CTD-PAH and age increased (from 12%–40% and 46–68 years, respectively); time from diagnosis decreased and presence of cardiovascular risk factors increased. Most patients across risk groups (74–81%) initiated selexipag as part of triple oral combination therapy. Overall median (Q1, Q3) selexipag exposure duration was 10.1 (3.5, 24.1) months. Proportions of hospitalised patients increased with increasing risk group (16–42% from low to high, respectively); more hospitalisations were PAH-related for the high risk (71%) versus other risk groups (47–54%). Kaplan–Meier survival estimates were 98%, 98%, 93% and 80% at 1-year and 98%, 92%, 81% and 67% at 2-years, from low to high risk, respectively. In clinical settings, selexipag is initiated across all risk groups, predominantly as triple therapy. Only 45% of patients being at low/intermediate-low risk at selexipag initiation suggests an opportunity for more frequent patient monitoring and earlier treatment escalation, given that 4-strata risk assessment was prognostic for hospitalisations and survival in this contemporary PAH cohort. A graphical abstract is available with this article. Pulmonary arterial hypertension (PAH) is a disease that gets worse over time. To make decisions about treatment, we need to know the stage of the disease. We can do this by measuring the patient’s risk of death during the next few years. Selexipag is a medication for PAH. This analysis included patients living in Europe and Canada who started treatment with selexipag for their PAH disease. Our findings suggest that the monitoring of patients’ health and the timing of starting selexipag can be improved. This analysis includes 698 patients taking part in the EXPOSURE study (EUPAS19085), which looks at the real-life treatment of patients with PAH. Overall, 71% of patients were female, the median age was 60 years, most had been diagnosed with PAH for around 2 years and were already taking two other medications for their PAH disease. At the beginning of selexipag treatment, 14% of patients were classified as low risk, 31% as intermediate-low risk, 34% as intermediate-high risk and 20% as high risk of mortality within the next year. More high-risk patients were hospitalised compared with the lower risk groups. After 1 year of treatment, more patients in the low (98%) and intermediate-low groups (98%) were alive than those in the intermediate-high (93%) and high risk groups (80%). The same was true after 2 years of treatment with selexipag (98%, 92%, 81% and 67%, respectively). This study confirms that assessing patients’ risk levels can indicate how well they will do over time and shows that earlier treatment with selexipag should be considered to potentially prevent worsening of the disease.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut 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 enseignants0,041
Score d'incertitude au seuil0,814

Scores Codex et Gemma par catégorie

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

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 Opus0,018
Tête enseignante GPT0,311
Écart entre enseignants0,293 · 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 tête enseignante, 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

Citations8
Publié2024
Routes d'admission1
Résumé présentoui

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