Oh Chahyun, Noh Chan, Baek Sujin, Lee Sun Yeul, Hong Boohwi
Department of Anesthesiology and Pain Medicine, Chungnam National University Hospital, College of Medicine, Chungnam National University, Daejeon, Korea.
Korean J Anesthesiol. 2025 Jul 29. doi: 10.4097/kja.25307.
The rainbow pleth variability index (RPVI) is a newly introduced multiwavelength variant of the pleth variability index (PVI). However, the clinical data on RPVI remains limited. This study retrospectively compared PVI and RPVI in non-cardiothoracic surgery patients using pulse pressure variation (PPV) as a reference.
Adult patients (≥20 years) who underwent non-cardiothoracic surgery under general anesthesia and had concurrent RPVI, PVI, and invasive arterial pressure monitoring were included. Repeated-measures correlation was used to evaluate the association with PPV. Agreement was assessed using nested Bland-Altman analysis, and receiver operating characteristic (ROC) curve analysis was conducted to assess the predictive performance for detecting high PPV (>13%).
A total of 86 cases (195.3 h of data) were analyzed. The RPVI showed a stronger correlation with PPV than with PVI (r = 0.511 vs. r = 0.243). The Bland-Altman analysis revealed narrower limits of agreement for the RPVI, indicating greater precision. RPVI also demonstrated better predictive performance, with an area under the curve of 0.813 (95% CI, 0.804-0.821) compared to 0.663 (95% CI, 0.653-0.674) for PVI (P < 0.001). The optimal thresholds for detecting PPV >13% were 8.5 for RPVI and 13.5 for PVI.
RPVI demonstrated superior performance compared with PVI, showing a stronger correlation and greater precision with respect to PPV, as well as an improved ability to detect states of elevated PPV. While not a direct substitute for PPV, RPVI may serve as a promising non-invasive index for fluid status assessment.
彩虹容积变异指数(RPVI)是新推出的容积变异指数(PVI)的多波长变体。然而,关于RPVI的临床数据仍然有限。本研究以脉压变异(PPV)作为参考,对非心胸外科手术患者的PVI和RPVI进行回顾性比较。
纳入在全身麻醉下接受非心胸外科手术且同时进行RPVI、PVI和有创动脉压监测的成年患者(≥20岁)。采用重复测量相关性评估与PPV的关联。使用嵌套Bland-Altman分析评估一致性,并进行受试者操作特征(ROC)曲线分析以评估检测高PPV(>13%)的预测性能。
共分析86例患者(195.3小时的数据)。RPVI与PPV的相关性比与PVI更强(r = 0.511对r = 0.243)。Bland-Altman分析显示RPVI的一致性界限更窄,表明精度更高。RPVI还表现出更好的预测性能,曲线下面积为0.813(95%CI,0.804 - 0.821),而PVI为0.663(95%CI,0.653 - 0.674)(P < 0.001)。检测PPV>13%的最佳阈值,RPVI为8.5,PVI为13.5。
与PVI相比,RPVI表现出更优的性能,在与PPV的相关性和精度方面更强,并且检测PPV升高状态的能力有所提高。虽然不能直接替代PPV,但RPVI可能是一种有前景的用于评估液体状态的非侵入性指标。