{"title":"儿童主动脉峰值血流速度变化、下腔静脉内径变化与脑卒中容积变化的相关性研究","authors":"W. Boonjindasup, R. Samransamruajkit","doi":"10.4103/prcm.prcm_17_19","DOIUrl":null,"url":null,"abstract":"Background: Non-invasive monitoring using ultrasound or Doppler assists in quick haemodynamic assessment and helps to improve outcomes in critical care. Parameters including aortic peak blood flow velocity variation (ΔVpeak), inferior vena cava diameter variation (ΔIVC) and stroke volume variation (SVV) have been commonly used in children. Objectives: The aim of this study was to assess the correlations between ΔVpeak from transthoracic echocardiography, ΔIVC from abdominal ultrasound and SVV from ultrasonic cardiac output monitoring. Settings and Design: A prospective observational cohort study was undertaken in the paediatric intensive care unit in a tertiary university hospital. Methods: ΔVpeak, ΔIVC and SVV were measured in mechanically ventilated children using ultrasound- or Doppler-based monitoring. Statistical Analysis Used: Pearson correlation coefficient was computed to assess the relationship. Results: A convenient sample of 55 patients with a median age of 31 months (range 6 months to 5 years) was enrolled. ΔVpeak, ΔIVC and SVV showed significant positive correlations between the three variables, i.e., ΔVpeak and ΔIVC (r = 0.415 with P = 0.002), ΔVpeak and SVV (r = 0.539 with P < 0.001) and ΔIVC and SVV (r = 0.524 with P < 0.001). Conclusions: In mechanically ventilated children, there is a positive correlation between ΔVpeak, ΔIVC and SVV. ΔVpeak and SVV provided the best, though moderate, correlation.","PeriodicalId":273845,"journal":{"name":"Pediatric Respirology and Critical Care Medicine","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Correlation between variation of aortic peak blood flow velocity, inferior vena cava diameter variation and stroke volume variation in children\",\"authors\":\"W. Boonjindasup, R. Samransamruajkit\",\"doi\":\"10.4103/prcm.prcm_17_19\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: Non-invasive monitoring using ultrasound or Doppler assists in quick haemodynamic assessment and helps to improve outcomes in critical care. Parameters including aortic peak blood flow velocity variation (ΔVpeak), inferior vena cava diameter variation (ΔIVC) and stroke volume variation (SVV) have been commonly used in children. Objectives: The aim of this study was to assess the correlations between ΔVpeak from transthoracic echocardiography, ΔIVC from abdominal ultrasound and SVV from ultrasonic cardiac output monitoring. Settings and Design: A prospective observational cohort study was undertaken in the paediatric intensive care unit in a tertiary university hospital. Methods: ΔVpeak, ΔIVC and SVV were measured in mechanically ventilated children using ultrasound- or Doppler-based monitoring. Statistical Analysis Used: Pearson correlation coefficient was computed to assess the relationship. Results: A convenient sample of 55 patients with a median age of 31 months (range 6 months to 5 years) was enrolled. ΔVpeak, ΔIVC and SVV showed significant positive correlations between the three variables, i.e., ΔVpeak and ΔIVC (r = 0.415 with P = 0.002), ΔVpeak and SVV (r = 0.539 with P < 0.001) and ΔIVC and SVV (r = 0.524 with P < 0.001). Conclusions: In mechanically ventilated children, there is a positive correlation between ΔVpeak, ΔIVC and SVV. ΔVpeak and SVV provided the best, though moderate, correlation.\",\"PeriodicalId\":273845,\"journal\":{\"name\":\"Pediatric Respirology and Critical Care Medicine\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Pediatric Respirology and Critical Care Medicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4103/prcm.prcm_17_19\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pediatric Respirology and Critical Care Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4103/prcm.prcm_17_19","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
背景:使用超声或多普勒进行无创监测有助于快速血流动力学评估,并有助于改善重症监护的预后。儿童常用的参数包括主动脉峰值血流速度变化(ΔVpeak)、下腔静脉直径变化(ΔIVC)和脑卒中容积变化(SVV)。目的:本研究的目的是评估经胸超声心动图ΔVpeak、腹部超声心动图ΔIVC和超声心输出量监测SVV之间的相关性。背景和设计:一项前瞻性观察队列研究在一所三级大学附属医院的儿科重症监护室进行。方法:采用超声或多普勒监测方法测定机械通气患儿的ΔVpeak、ΔIVC和SVV。统计学分析方法:计算Pearson相关系数来评价两者之间的关系。结果:纳入了55例患者,中位年龄为31个月(6个月至5岁)。ΔVpeak、ΔIVC与SVV三者之间呈显著正相关,分别为ΔVpeak与ΔIVC (r = 0.415, P = 0.002)、ΔVpeak与SVV (r = 0.539, P < 0.001)、ΔIVC与SVV (r = 0.524, P < 0.001)。结论:在机械通气患儿中,ΔVpeak、ΔIVC与SVV呈正相关。ΔVpeak和SVV提供了最好的相关性。
Correlation between variation of aortic peak blood flow velocity, inferior vena cava diameter variation and stroke volume variation in children
Background: Non-invasive monitoring using ultrasound or Doppler assists in quick haemodynamic assessment and helps to improve outcomes in critical care. Parameters including aortic peak blood flow velocity variation (ΔVpeak), inferior vena cava diameter variation (ΔIVC) and stroke volume variation (SVV) have been commonly used in children. Objectives: The aim of this study was to assess the correlations between ΔVpeak from transthoracic echocardiography, ΔIVC from abdominal ultrasound and SVV from ultrasonic cardiac output monitoring. Settings and Design: A prospective observational cohort study was undertaken in the paediatric intensive care unit in a tertiary university hospital. Methods: ΔVpeak, ΔIVC and SVV were measured in mechanically ventilated children using ultrasound- or Doppler-based monitoring. Statistical Analysis Used: Pearson correlation coefficient was computed to assess the relationship. Results: A convenient sample of 55 patients with a median age of 31 months (range 6 months to 5 years) was enrolled. ΔVpeak, ΔIVC and SVV showed significant positive correlations between the three variables, i.e., ΔVpeak and ΔIVC (r = 0.415 with P = 0.002), ΔVpeak and SVV (r = 0.539 with P < 0.001) and ΔIVC and SVV (r = 0.524 with P < 0.001). Conclusions: In mechanically ventilated children, there is a positive correlation between ΔVpeak, ΔIVC and SVV. ΔVpeak and SVV provided the best, though moderate, correlation.