A method for assessing prognosis of chronic heart failure
By detecting the concentrations of N-terminal pro-B-type natriuretic peptide and serum serotonin C, and combining this with a machine learning model, the objectivity and accuracy issues in the prognostic assessment of chronic heart failure were resolved, enabling more precise prognostic assessment and individualized treatment.
CN122417408APending Publication Date: 2026-07-17李智敏
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Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- 李智敏
- Filing Date
- 2026-04-24
- Publication Date
- 2026-07-17
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Figure CN122417408A_ABST
Abstract
本发明涉及慢性病预后评估技术领域，公开了一种慢性心力衰竭预后评估方法，包括样本采集、N末端前B型利钠肽检测、血清抑光素C检测、建立模型、预后评估，该慢性心力衰竭预后评估方法结合了N末端前B型利钠肽和血清抑光素C两种生物标志物，采用客观的检测方法和科学的模型构建方式，提高了慢性心力衰竭预后评估的客观性、准确性和可靠性，能够更全面、准确地反映患者的预后情况，从而有利于制定更加个体化的治疗方案，有助于改善患者的生存质量，降低医疗成本，实现通过多维度指标整合与标准化技术体系，为慢性心力衰竭预后评估提供了更科学、精准的解决方案，在临床决策支持、患者管理及医疗效益提升方面具有重要实践意义。
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