在潜在的全身性硬化症队列中,ASIG算法的预测准确度,每年对肺动脉高血压进行查
Zoe Brown1,2, Kathleen Morrisroe1,2, Dylan Hansen2
1Department of Medicine, The University of Melbourne at St Vincent's Hospital, Melbourne, Victoria, Australia.
Internal medicine journal
|August 13, 2024
概括
在系统性硬化症 (SSc) 中肺动脉高血压 (PAH) 查的澳大利亚硬化症兴趣小组 (ASIG) 算法在新加坡队列中表现出高效. 这种简单的选方法显示出作为复杂,昂贵的方法的替代方案的希望.
科学领域:
- 类风湿病学 类风湿病学
- 心脏病学 心脏病学
- 肺部病理学 肺部病理学
背景情况:
- 系统性硬化症 (SSc) 与肺动脉高血压 (PAH) 的高风险有关.
- 在SSc中早期查PAH对于及时干预和改善结果至关重要.
- 国际指南建议进行查,但存在各种各样的算法,复杂度不同.
研究的目的:
- 评估澳大利亚硬化皮质感兴趣小组 (ASIG) 在预期的新加坡SSc患者队列中对PAH的查算法的性能.
- 在这个群体中评估ASIG算法的负预测值.
- 确定ASIG算法是否是SSc-PAH查的可行,具有成本效益的替代方案.
主要方法:
- 在新加坡的一组SSc患者中,预期每年对PAH进行查.
- 应用ASIG查算法,使用呼吸功能测试和血清N端前脑尿素作为一级测试.
- 对算法的性能进行分析,重点关注它的负预测值.
主要成果:
- 在新加坡队列中,ASIG选算法显示出高负预测值.
- 该算法成功识别了PAH风险较低的患者,从而实现了有针对性的随访.
- 选过程在未来的年度选计划中是可行的.
结论:
- ASIG算法是一种有效和实用的工具,用于查SSc患者的PAH.
- 它的高负预测值表明它可以可靠地排除低风险个体的PAH.
- ASIG算法为现有的SSc-PAH查策略提供了一个更简单,潜在的更具成本效益的替代方案.
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