Evaluation of the European Society of Cardiology/European Respiratory Society derived three- and four-strata risk stratification models in pulmonary arterial hypertension: introducing an internet-based risk stratification calculator.

Abdulla Ahmed, Salaheldin Ahmed, Daniel Kempe, Göran Rådegran
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引用次数: 2

Abstract

Aims: Estimation of prognosis in pulmonary arterial hypertension (PAH) has been influenced by that various risk stratification models use different numbers of prognostic parameters, as well as the lack of a comprehensive and time-saving risk assessment calculator. We therefore evaluated the various European Society of Cardiology (ESC)-/European Respiratory Society (ERS)-based three- and four-strata risk stratification models and established a comprehensive internet-based calculator to facilitate risk assessment.

Methods and results: Between 1 January 2000 and 26 July 2021, 773 clinical assessments on 169 incident PAH patients were evaluated at diagnosis and follow-ups. Risk scores were calculated using the original Swedish Pulmonary Arterial Hypertension Registry (SPAHR)/Comparative, Prospective Registry of Newly Initiated Therapies for Pulmonary Hypertension (COMPERA) three-strata model, the updated SPAHR three-strata model with divided intermediate risk, and the simplified three-parameter COMPERA 2.0 four-strata model. The original SPAHR/COMPERA and the updated SPAHR models were tested for both 3-6 and 7-11 available parameters, respectively. Prognostic accuracy [area under the receiver operating characteristic (ROC) curve (AUC)] and Uno's cumulative/time-dependent C-statistics (uAUC) were calculated for 1-, 3-, and 5-year mortality. At baseline, both the original SPAHR/COMPERA and the updated SPAHR models, using up to six parameters, provided the highest accuracy (uAUC = 0.73 for both models) in predicting 1-, 3-, and 5-year mortality. At follow-ups, the updated SPAHR model with divided intermediate risk (7-11 parameters) provided the highest accuracy for 1-, 3-, and 5-year mortality (uAUC = 0.90), followed by the original SPAHR/COMPERA model (7-11 parameters) (uAUC = 0.88) and the COMPERA 2.0 model (uAUC = 0.85).

Conclusions: The present study facilitates risk assessment in PAH by introducing a comprehensive internet-based risk score calculator (https://www.svefph.se/risk-stratification). At baseline, utilizing the original or the updated SPAHR models using up to six parameters was favourable, the latter model additionally offering sub-characterization of the intermediate risk group. Our findings support the 2022 ESC/ERS pulmonary hypertension guidelines' strategy for risk stratification suggesting the utilization of a three-strata model at baseline and a simplified four-strata model at follow-ups. Our findings furthermore support the utility of the updated SPAHR model with divided intermediate risk, when a more comprehensive assessment is needed at follow-ups, complementing the three-parameter COMPERA 2.0 model. Larger multi-centre studies are encouraged to validate the utility of the updated SPAHR model.

Take home message: By introducing an internet-based risk score calculator (https://www.svefph.se/risk-stratification), risk assessment is facilitated. Our results support the 2022 ESC/ERS pulmonary hypertension guidelines' risk stratification strategy, additionally suggesting the updated SPAHR three-strata model with divided intermediate risk, as a promising complement to the new simplified three-parameter COMPERA 2.0 four-strata strategy, when a more comprehensive overview is needed.

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欧洲心脏病学会/欧洲呼吸学会评估肺动脉高压的三层和四层风险分层模型:引入基于互联网的风险分层计算器。
目的:各种风险分层模型使用的预后参数数量不同,以及缺乏一种全面、省时的风险评估计算器,影响了肺动脉高压(PAH)预后的估计。因此,我们评估了各种基于欧洲心脏病学会(ESC) /欧洲呼吸学会(ERS)的三层和四层风险分层模型,并建立了一个全面的基于互联网的计算器来促进风险评估。方法和结果:在2000年1月1日至2021年7月26日期间,对169例PAH事件患者的773项临床评估进行了诊断和随访评估。风险评分采用原始的瑞典肺动脉高压登记处(SPAHR)/新开始治疗肺动脉高压的比较前瞻性登记处(COMPERA)三层模型、更新的SPAHR三层划分中间风险模型和简化的三参数COMPERA 2.0四层模型计算。对原始SPAHR/COMPERA模型和更新后的SPAHR模型分别进行了3-6和7-11个可用参数的测试。计算1年、3年和5年死亡率的预后准确性[受试者工作特征(ROC)曲线下面积(AUC)]和Uno累积/时间依赖c统计量(uAUC)。在基线,原始的SPAHR/COMPERA和更新的SPAHR模型,使用多达6个参数,在预测1、3和5年死亡率方面提供了最高的准确性(两个模型的uAUC = 0.73)。随访时,更新的SPAHR中间风险划分模型(7-11个参数)对1年、3年和5年死亡率的准确性最高(uAUC = 0.90),其次是原始的SPAHR/COMPERA模型(7-11个参数)(uAUC = 0.88)和COMPERA 2.0模型(uAUC = 0.85)。结论:本研究通过引入一个全面的基于互联网的风险评分计算器(https://www.svefph.se/risk-stratification)促进了PAH的风险评估。在基线时,使用原始或更新的SPAHR模型使用多达6个参数是有利的,后者模型还提供了中间风险组的亚特征。我们的研究结果支持2022年ESC/ERS肺动脉高压指南的风险分层策略,建议在基线时使用三层模型,在随访时使用简化的四层模型。当随访需要更全面的评估时,我们的研究结果进一步支持更新的SPAHR中间风险划分模型的效用,补充了三参数COMPERA 2.0模型。鼓励更大规模的多中心研究来验证更新的SPAHR模型的效用。关键信息:通过引入基于互联网的风险评分计算器(https://www.svefph.se/risk-stratification),便于进行风险评估。我们的研究结果支持2022年ESC/ERS肺动脉高压指南的风险分层策略,此外,当需要更全面的概述时,更新的SPAHR三层分层模型具有分割的中间风险,作为新的简化三参数COMPERA 2.0四层策略的有希望的补充。
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