危险分层
医学
模糊性
模棱两可
重症监护医学
疾病
血流动力学
肺动脉高压
心脏病学
内科学
计算机科学
人工智能
模糊逻辑
程序设计语言
作者
Paolo Golino,Roberto Badagliacca,Edoardo Airò,Pietro Ameri,Paola Argiento,Andrea Garascia,Carlo Lombardi,Massimiliano Mulè,Claudia Raineri,Laura Scelsi,Carmine Dario Vizza,Stefano Ghio
标识
DOI:10.1016/j.vph.2024.107374
摘要
A comprehensive evaluation of risk, using multiple indices, is necessary to provide reliable prognostic information and guide therapy in pulmonary arterial hypertension (PAH). The current ESC/ERS guidelines suggest using a three-strata model for incident (newly diagnosed) patients and a four-strata model for prevalent patients with PAH. The four-strata model serves as a fundamental risk-stratification tool and relies on a minimal dataset of indicators that must be considered during follow-up. Nevertheless, there are still areas of vagueness and ambiguity when classifying and managing patients in the intermediate-risk category. For these patients, considerations should include right heart imaging, hemodynamics, as well as individual factors such as age, sex, genetic profile, disease type, comorbidities, and kidney function. The aim of this report is to present case studies, with a specific focus on patients ultimately classified as intermediate risk. We aim to emphasize the challenges and complexities encountered in the realms of diagnosis, classification, and treatment for these particular patients.
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