Emergency Department, Zigong Fourth People's Hospital, 19 Tanmulin Road, Zigong, 643000, Sichuan, China.
Institute of Medical Big Data, Zigong Academy of Artificial Intelligence and Big Data for Medical Science, Zigong, China.
Intern Emerg Med. 2023 Nov;18(8):2321-2332. doi: 10.1007/s11739-023-03433-2. Epub 2023 Sep 25.
There is no strong evidence that one of the B-line quantification approaches is clinically superior to the others, as the use of lung ultrasound (LUS) protocol becomes more commonplace in the treatment of heart failure (HF). This study, thus, aimed to evaluate to the prognostic value, feasibility, and reproducibility for selecting optimal B-line quantification methods. We enrolled patients with HF admitted to the emergency intensive care unit (EICU) in a single-center, prospective, observational study. LUS were performed before EICU discharge, and six B-line quantification methods were used to calculate scores. A total of 71 patients were enrolled. There was a moderately good discriminative value between six quantification methods and the composite outcome. The calibration curve of six B-line quantification methods for the probability of the composite outcome showed good agreement between prediction and observation. Decision curve presented that six B-line quantification methods presented similar net benefits at the entire range of threshold probabilities. Image interpretation time of Quantitative methods 1 and 2 was significantly less than that of other methods. Intraclass correlation coefficients (ICC) for B-pattern scoring systems (Quantitative methods 1 and 2) between two experts demonstrated the excellent level of clinical significance. Despite the similar discrimination, calibration and clinical usefulness, pattern-B scoring systems have the benefit of the feasibility and reproducibility over other methods.
目前尚无强有力的证据表明,在心力衰竭(HF)的治疗中,超声肺(LUS)方案变得越来越普遍的情况下,B 线量化方法中的任何一种在临床上都优于其他方法。因此,本研究旨在评估选择最佳 B 线量化方法的预后价值、可行性和可重复性。我们在一项单中心前瞻性观察性研究中招募了入住急诊加强护理病房(EICU)的 HF 患者。在 EICU 出院前进行 LUS,使用六种 B 线量化方法计算评分。共纳入 71 例患者。六种量化方法与复合结局之间存在中等程度的良好区分能力。六种 B 线量化方法对复合结局概率的校准曲线显示出预测与观察之间良好的一致性。决策曲线表明,在整个阈值概率范围内,六种 B 线量化方法的净获益相似。定量方法 1 和 2 的图像解释时间明显少于其他方法。两名专家之间的 B 型模式评分系统(定量方法 1 和 2)的组内相关系数(ICC)显示出良好的临床意义。尽管具有相似的区分能力、校准和临床实用性,但与其他方法相比,B 型模式评分系统具有可行性和可重复性的优势。