Accuracy of Mean Value of Central Venous Pressure from Monitor Digital Display: Influence of Amplitude of Central Venous Pressure during Respiration

Q2 Medicine Chinese Medical Sciences Journal Pub Date : 2023-06-01 DOI:10.24920/004158
Meng-Ru Xu , Wang-Lin Liu , Huai-Wu He , Xiao-Li Lai , Mei-Ling Zhao , Da-Wei Liu , Yun Long
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Abstract

Background

A simple measurement of central venous pressure (CVP)-mean by the digital monitor display has become increasingly popular. However, the agreement between CVP-mean and CVP-end (a standard method of CVP measurement by analyzing the waveform at end-expiration) is not well determined. This study was designed to identify the relationship between CVP-mean and CVP-end in critically ill patients and to introduce a new parameter of CVP amplitude (ΔCVP= CVPmax – CVPmin) during the respiratory period to identify the agreement/disagreement between CVP-mean and CVP-end.

Methods

In total, 291 patients were included in the study. CVP-mean and CVP-end were obtained simultaneously from each patient. CVP measurement difference (| CVP-mean – CVP-end |) was defined as the difference between CVP-mean and CVP-end. The ΔCVP was calculated as the difference between the peak (CVPmax) and the nadir value (CVPmin) during the respiratory cycle, which was automatically recorded on the monitor screen. Subjects with | CVP-mean – CVP-end | ≥ 2 mmHg were divided into the inconsistent group, while subjects with | CVP-mean – CVP-end | < 2 mmHg were divided into the consistent group.

Results

ΔCVP was significantly higher in the inconsistent group [7.17(2.77) vs.5.24(2.18), p<0.001] than that in the consistent group. There was a significantly positive relationship between ΔCVP and | CVP-mean – CVP-end | (r=0.283, p <0.0001). Bland-Altman plot showed the bias was -0.61 mmHg with a wide 95% limit of agreement (–3.34, 2.10) of CVP-end and CVP-mean. The area under the receiver operating characteristic curves (AUC) of ΔCVP for predicting | CVP-mean – CVP-end | ≥ 2 mmHg was 0.709. With a high diagnostic specificity, using ΔCVP<3 to detect | CVP-mean – CVP-end | lower than 2mmHg (consistent measurement) resulted in a sensitivity of 22.37% and a specificity of 93.06%. Using ΔCVP>8 to detect | CVP-mean – CVP-end | >8 mmHg (inconsistent measurement) resulted in a sensitivity of 31.94% and a specificity of 91.32%.

Conclusions

Conclusions CVP-end and CVP-mean have statistical discrepancies in specific clinical scenarios. ΔCVP during the respiratory period is related to the variation of the two CVP methods. A high ΔCVP indicates a poor agreement between these two methods, whereas a low ΔCVP indicates a good agreement between these two methods.

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监护仪数字显示中心静脉压力平均值的准确性:呼吸时中心静脉压力振幅的影响
背景利用数字显示器对中心静脉压(CVP)进行简单的测量越来越受欢迎。然而,CVP平均值和CVP结束值(通过分析结束时的波形来测量CVP的标准方法)之间的一致性并没有很好地确定。本研究旨在确定危重患者CVP平均值和CVP终点之间的关系,并引入呼吸期CVP振幅的新参数(ΔCVP=CVPmax–CVPmin),以确定CVP平均数和CVP末端之间的一致性/不一致性。方法共有291名患者纳入本研究。同时获得每位患者的CVP平均值和CVP终点。CVP测量差异(|CVP均值–CVP终点|)定义为CVP均值和CVP终点之间的差异。ΔCVP计算为呼吸周期中峰值(CVPmax)和最低点(CVPmin)之间的差值,并自动记录在监视器屏幕上。将|CVP均值-CVP终点|≥2 mmHg的受试者分为不一致组,而|CVP平均值-CVP末端|<;2mmHg分为一致组。结果不一致组的ΔCVP显著高于一致组[7.17(2.77)vs.5.24(2.18),p<;0.001]。ΔCVP与|CVP平均值–CVP终点之间存在显著的正相关关系(r=0.283,p<;0.0001)。Bland-Altman图显示偏差为-0.61 mmHg,CVP终点与CVP均值的一致性范围为95%(–3.34,2.10)。预测|CVP平均值–CVP终点|≥2 mmHg的ΔCVP受试者工作特征曲线下面积(AUC)为0.709。ΔCVP<;3检测|CVP平均值–CVP终点|低于2mmHg(一致测量)的灵敏度为22.37%,特异性为93.06%;8检测|CVP平均值–CVP结束|>;8mmHg(测量不一致)的敏感性为31.94%,特异性为91.32%。结论CVP终点和CVP平均值在特定临床情况下存在统计学差异。ΔCVP与两种CVP方法的变化有关。ΔCVP高表示这两种方法之间的一致性较差,而ΔCVP低表示这两个方法之间的良好一致性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Chinese Medical Sciences Journal
Chinese Medical Sciences Journal Medicine-Medicine (all)
CiteScore
2.40
自引率
0.00%
发文量
1275
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