Meng-Ru Xu , Wang-Lin Liu , Huai-Wu He , Xiao-Li Lai , Mei-Ling Zhao , Da-Wei Liu , Yun Long
{"title":"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","authors":"Meng-Ru Xu , Wang-Lin Liu , Huai-Wu He , Xiao-Li Lai , Mei-Ling Zhao , Da-Wei Liu , Yun Long","doi":"10.24920/004158","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>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.</p></div><div><h3>Methods</h3><p>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.</p></div><div><h3>Results</h3><p>ΔCVP was significantly higher in the inconsistent group [7.17(2.77) <em>vs</em>.5.24(2.18), <em>p</em><0.001] than that in the consistent group. There was a significantly positive relationship between ΔCVP and | CVP-mean – CVP-end | (<em>r</em>=0.283, <em>p</em> <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%.</p></div><div><h3>Conclusions</h3><p>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.</p></div>","PeriodicalId":35615,"journal":{"name":"Chinese Medical Sciences Journal","volume":"38 2","pages":"Pages 117-124"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Accuracy of Mean Value of Central Venous Pressure from Monitor Digital Display: Influence of Amplitude of Central Venous Pressure during Respiration\",\"authors\":\"Meng-Ru Xu , Wang-Lin Liu , Huai-Wu He , Xiao-Li Lai , Mei-Ling Zhao , Da-Wei Liu , Yun Long\",\"doi\":\"10.24920/004158\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><p>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.</p></div><div><h3>Methods</h3><p>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.</p></div><div><h3>Results</h3><p>ΔCVP was significantly higher in the inconsistent group [7.17(2.77) <em>vs</em>.5.24(2.18), <em>p</em><0.001] than that in the consistent group. There was a significantly positive relationship between ΔCVP and | CVP-mean – CVP-end | (<em>r</em>=0.283, <em>p</em> <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%.</p></div><div><h3>Conclusions</h3><p>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.</p></div>\",\"PeriodicalId\":35615,\"journal\":{\"name\":\"Chinese Medical Sciences Journal\",\"volume\":\"38 2\",\"pages\":\"Pages 117-124\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Chinese Medical Sciences Journal\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1001929423000287\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chinese Medical Sciences Journal","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1001929423000287","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
Accuracy of Mean Value of Central Venous Pressure from Monitor Digital Display: Influence of Amplitude of Central Venous Pressure during Respiration
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.