The utility of point-of-care ultrasound in the assessment of volume status in acute and critically ill patients

被引:0
|
作者
Ali Pourmand
Matthew Pyle
David Yamane
Kazi Sumon
Sarah E.Frasure
机构
[1] Department of Emergency Medicine
[2] George Washington University School of Medicine and Health
关键词
D O I
暂无
中图分类号
R445.1 [超声波诊断]; R459.7 [急症、急救处理];
学科分类号
100218 ;
摘要
BACKGROUND: Volume resuscitation has only been demonstrated to be effective in approximately fifty percent of patients. The remaining patients do not respond to volume resuscitation and may even develop adverse outcomes(such as acute pulmonary edema necessitating endotracheal intubation). We believe that point-of-care ultrasound is an excellent modality by which to adequately predict which patients may benef it from volume resuscitation.DATA RESOURCES: We performed a search using PubMed,Scopus,and MEDLINE. The following search terms were used: fluid responsiveness,ultrasound,non-invasive,hemodynamic,fluid challenge,and passive leg raise. Preference was given to clinical trials and review articles that were most relevant to the topic of assessing a patient’s cardiovascular ability to respond to intravenous fl uid administration using ultrasound.RESULTS: Point-of-care ultrasound can be easily employed to measure the diameter and collapsibility of various large vessels including the inferior vena cava,common carotid artery,subclavian vein,internal jugular vein,and femoral vein. Such parameters are closely related to dynamic measures of fluid responsiveness and can be used by providers to help guide fluid resuscitation in critically ill patients.CONCLUSION: Ultrasound in combination with passive leg raise is a non-invasive,costand time-effective modality that can be employed to assess volume status and response to fluid resuscitation. Traditionally sonographic studies have focused on the evaluation of large veins such as the inferior vena cava,and internal jugular vein. A number of recently published studies also demonstrate the usefulness of evaluating large arteries to predict volume status.
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页码:232 / 238
页数:7
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