胸透波形的视觉评估:将简单收缩压比值作为液体反应性指标。

IF 0.6 Q3 ANESTHESIOLOGY
Muhammet Selman Söğüt, Kamil Darçın, Muhammet Ahmet Karakaya, Mete Manici, Yavuz Gürkan
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引用次数: 0

摘要

目的:为确保患者安全,在手术过程中保持血液动力学稳定至关重要。动态指数(如收缩压变化(SPV)和脉压变化(PPV))的使用最近有所增加。鉴于此类有创技术的相关风险,人们对无创监测方法--胸透波形分析--的兴趣与日俱增。然而,许多此类无创方法涉及复杂的计算或特定品牌的监测仪。本研究介绍了简单收缩压比值(SSR),该比值来自脉搏血氧仪描记,是一种评估液体反应性的无创方法:这项前瞻性观察研究纳入了 25 名成年患者,在开腹手术过程中,每隔 30 分钟采集一次 SPV、PPV 和 SSR 值。SSR 被定义为脉搏描记中最高波形与最短波形的比值。分析了 SSR、SPV 和 PPV 之间的相关性。此外,麻醉专家目测了脉搏血氧仪描记图,以使用 SSR 方法确定液体反应性:结果:观察到 SSR 与 SPV(r = 0.715,P < 0.001)和 PPV(r = 0.702,P < 0.001)之间存在很强的相关性。接收运算曲线分析确定了预测输液反应性的最佳 SSR 阈值,SPV 为 1.47,PPV 为 1.50。对使用 SSR 方法目测评估输液反应性的麻醉专家进行的调查显示,准确率为 83%:基于 SSR 与传统标记物的强相关性,SSR 作为一种临床工具具有巨大的潜力,尤其是在资源有限的环境中。但是,还需要进一步的研究来确定它的作用,特别是它在各种监测设备中的通用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visual Evaluation of Plethysmographic Waveforms: Introducing the Simple Systolic Ratio as an Indicator of Fluid Responsiveness.

Objective: For patient safety, maintaining hemodynamic stability during surgical procedures is critical. Dynamic indices [such as systolic pressure variation (SPV) and pulse pressure variation (PPV)], have recently seen an increase in use. Given the risks associated with such invasive techniques, there is growing interest in non-invasive monitoring methods-and plethysmographic waveform analysis. However, many such non-invasive methods involve intricate calculations or brand-specific monitors. This study introduces the simple systolic ratio (SSR), derived from pulse oximetry tracings, as a non-invasive method to assess fluid responsiveness.

Methods: This prospective observational study included 25 adult patients whose SPV, PPV, and SSR values were collected at 30-min intervals during open abdominal surgery. The SSR was defined as the ratio of the tallest waveform to the shortest waveform within pulse tracings. The correlations among SSR, SPV, and PPV were analyzed. Additionally, anaesthesia specialists visually assessed pulse oximetry tracings to determine fluid responsiveness using the SSR method.

Results: Strong correlations were observed between SSR and both SPV (r = 0.715, P < 0.001) and PPV (r = 0.702, P < 0.001). Receiver operator curve analysis identified optimal SSR thresholds for predicting fluid responsiveness at 1.47 for SPV and 1.50 for PPV. A survey of anaesthesia specialists using the SSR method to visually assess fluid responsiveness produced an accuracy rate of 83%.

Conclusion: Based on the strong correlations it exhibits with traditional markers, SSR has great potential as a clinical tool, especially in resource-limited settings. However, further research is needed to establish its role, especially as it pertains to its universal applicability across monitoring devices.

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