A comparative analysis of risk stratification tools in systemic sclerosis-associated pulmonary arterial hypertension: a EUSTAR analysis.

IF 4.4 2区 医学 Q1 RHEUMATOLOGY Rheumatology Pub Date : 2025-01-29 DOI:10.1093/rheumatology/keaf053
Hilde Jenssen Bjørkekjær,Cosimo Bruni,Kaspar Broch,Cathrine Brunborg,Patricia E Carreira,Paolo Airò,Carmen Pilar Simeón-Aznar,Marie-Elise Truchetet,Alessandro Giollo,Alexandra Balbir-Gurman,Mickael Martin,Christopher P Denton,Armando Gabrielli,Francesco Del Galdo,Madelon C Vonk,Håvard Fretheim,Helle Bitter,Øyvind Midtvedt,Arne Andreassen,Sverre Høie,Yoshiya Tanaka,Gabriela Riemekasten,Ulf Müller-Ladner,Marco Matucci-Cerinic,Ivan Castellví,Elise Siegert,Eric Hachulla,Øyvind Molberg,Oliver Distler,Anna-Maria Hoffmann-Vold,
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Abstract

OBJECTIVES The 2022 European Society of Cardiology and European Respiratory Society (ESC/ERS) Guidelines for pulmonary arterial hypertension (PAH) recommend risk stratification to optimize management. However, the performance of generic PAH risk stratification tools in patients with systemic sclerosis (SSc)-associated PAH remains unclear. Our objective was to identify the most accurate approach for risk stratification at SSc-PAH diagnosis. METHODS In this multicentre, international cohort study from the European Scleroderma Trials and Research (EUSTAR) group database, we screened eleven risk stratification tools upon SSc-PAH diagnosis. We compared the performance of the three top-ranked tools to predict mortality with the ESC/ERS three-strata model, the currently recommended tool for baseline risk assessment. We also assessed the impact of incorporating SSc-specific characteristics into the tools. Kaplan-Meier analyses and Cox regression with area under the ROC curve (AUC) were conducted. RESULTS The ESC/ERS three-strata model had a lower ability to predict mortality than the ESC/ERS four-strata model, "SPAHR updated", and "REVEAL Lite 2". The ESC/ERS four-strata model divided "intermediate-risk" patients into two groups with significantly different long-term survival rates and is the easiest applicable tool. Incorporating SSc-specific characteristics did not significantly improve the predictive ability of any model, but a low DLCO was an independent predictor of mortality. CONCLUSION Considering its ability to predict mortality, risk segregation capabilities, and clinical applicability, this study provides a rationale for using the simplified ESC/ERS four-strata model at SSc-PAH diagnosis as an alternative to the comprehensive ESC/ERS three-strata model. We propose considering DLCO as an individual prognostic marker in SSc-PAH.
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系统性硬化症相关肺动脉高压风险分层工具的比较分析:EUSTAR分析。
目的2022年欧洲心脏病学会和欧洲呼吸学会(ESC/ERS)肺动脉高压(PAH)指南建议进行风险分层以优化管理。然而,通用PAH风险分层工具在系统性硬化症(SSc)相关PAH患者中的表现仍不清楚。我们的目的是在SSc-PAH诊断中确定最准确的风险分层方法。方法在这项来自欧洲硬皮病试验与研究(EUSTAR)组数据库的多中心国际队列研究中,我们筛选了11种SSc-PAH诊断的风险分层工具。我们将三种排名前三位的预测死亡率的工具与ESC/ERS三层模型(目前推荐的基线风险评估工具)的性能进行了比较。我们还评估了将ssc特定特征纳入工具的影响。进行Kaplan-Meier分析和ROC曲线下面积(AUC)的Cox回归。结果ESC/ERS三层模型预测死亡率的能力低于ESC/ERS四层模型、“SPAHR更新”模型和“REVEAL Lite 2”模型。ESC/ERS四层模型将“中度风险”患者分为两组,长期生存率有显著差异,是最容易适用的工具。纳入ssc特异性特征并没有显著提高任何模型的预测能力,但低DLCO是死亡率的独立预测因子。考虑到其预测死亡率、风险分离能力和临床适用性,本研究为在SSc-PAH诊断中使用简化的ESC/ERS四层模型替代综合的ESC/ERS三层模型提供了依据。我们建议考虑DLCO作为SSc-PAH的个体预后标志物。
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来源期刊
Rheumatology
Rheumatology 医学-风湿病学
CiteScore
9.40
自引率
7.30%
发文量
1091
审稿时长
2 months
期刊介绍: Rheumatology strives to support research and discovery by publishing the highest quality original scientific papers with a focus on basic, clinical and translational research. The journal’s subject areas cover a wide range of paediatric and adult rheumatological conditions from an international perspective. It is an official journal of the British Society for Rheumatology, published by Oxford University Press. Rheumatology publishes original articles, reviews, editorials, guidelines, concise reports, meta-analyses, original case reports, clinical vignettes, letters and matters arising from published material. The journal takes pride in serving the global rheumatology community, with a focus on high societal impact in the form of podcasts, videos and extended social media presence, and utilizing metrics such as Altmetric. Keep up to date by following the journal on Twitter @RheumJnl.
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