The predictive value of bedside ultrasound to restore spontaneous circulation in patients with pulseless electrical activity: A systematic review and meta-analysis.

<h4>Background</h4>The prognosis of pulseless electrical activity is dismal. However, it is still challengable to decide when to terminate or continue resuscitation efforts. The aim of this study was to determine whether the use of bedside ultrasound (US) could predict the restoration of...

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Main Authors: Chunshuang Wu, Zhongjun Zheng, Libing Jiang, Yuzhi Gao, Jiefeng Xu, Xiaohong Jin, Qijiang Chen, Mao Zhang
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0191636
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author Chunshuang Wu
Zhongjun Zheng
Libing Jiang
Yuzhi Gao
Jiefeng Xu
Xiaohong Jin
Qijiang Chen
Mao Zhang
author_facet Chunshuang Wu
Zhongjun Zheng
Libing Jiang
Yuzhi Gao
Jiefeng Xu
Xiaohong Jin
Qijiang Chen
Mao Zhang
author_sort Chunshuang Wu
collection DOAJ
description <h4>Background</h4>The prognosis of pulseless electrical activity is dismal. However, it is still challengable to decide when to terminate or continue resuscitation efforts. The aim of this study was to determine whether the use of bedside ultrasound (US) could predict the restoration of spontaneous circulation (ROSC) in patients with pulseless electrical activity (PEA) through the identification of cardiac activity.<h4>Methods</h4>This was a systematic review and meta-analysis of studies that used US to predict ROSC. A search of electronic databases (Cochrane Central, MEDLINE, EMBASE) was conducted up to June 2017, and the assessment of study quality was performed with the Newcastle-Ottawa Scale. Statistical analysis was performed with Review Manager 5.3 and Stata 12.<h4>Results</h4>Eleven studies that enrolled a total of 777 PEA patients were included. A total of 230 patients experienced ROSC. Of these, 188 had sonographically identified cardiac activity (pseudo-PEA). A meta-analysis showed that PEA patients with cardiac activity on US were more likely to obtain ROSC compared to those with cardiac standstill: risk ratio (RR) = 4.35 (95% confidence interval [CI], 2.20-8.63; p<0,00001) with significant statistical heterogeneity (I2 = 60%). Subgroup analyses were conducted: US evaluation using only on the subxiphoid view: RR = 1.99 (95% CI, 0.79-5.02; p = 0.15); evaluation using various views: RR = 4.09 (95% CI,2.70-6.02; p<0.00001).<h4>Conclusions</h4>In cardiac arrest patients who present with PEA, bedside US has an important role in predicting ROSC. The presence of cardiac activity in PEA patients may encourage more aggressive resuscitation.
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spelling doaj-art-56a5e48cc7d94d3a9a60eddfab678bbc2025-08-20T03:24:02ZengPublic Library of Science (PLoS)PLoS ONE1932-62032018-01-01131e019163610.1371/journal.pone.0191636The predictive value of bedside ultrasound to restore spontaneous circulation in patients with pulseless electrical activity: A systematic review and meta-analysis.Chunshuang WuZhongjun ZhengLibing JiangYuzhi GaoJiefeng XuXiaohong JinQijiang ChenMao Zhang<h4>Background</h4>The prognosis of pulseless electrical activity is dismal. However, it is still challengable to decide when to terminate or continue resuscitation efforts. The aim of this study was to determine whether the use of bedside ultrasound (US) could predict the restoration of spontaneous circulation (ROSC) in patients with pulseless electrical activity (PEA) through the identification of cardiac activity.<h4>Methods</h4>This was a systematic review and meta-analysis of studies that used US to predict ROSC. A search of electronic databases (Cochrane Central, MEDLINE, EMBASE) was conducted up to June 2017, and the assessment of study quality was performed with the Newcastle-Ottawa Scale. Statistical analysis was performed with Review Manager 5.3 and Stata 12.<h4>Results</h4>Eleven studies that enrolled a total of 777 PEA patients were included. A total of 230 patients experienced ROSC. Of these, 188 had sonographically identified cardiac activity (pseudo-PEA). A meta-analysis showed that PEA patients with cardiac activity on US were more likely to obtain ROSC compared to those with cardiac standstill: risk ratio (RR) = 4.35 (95% confidence interval [CI], 2.20-8.63; p<0,00001) with significant statistical heterogeneity (I2 = 60%). Subgroup analyses were conducted: US evaluation using only on the subxiphoid view: RR = 1.99 (95% CI, 0.79-5.02; p = 0.15); evaluation using various views: RR = 4.09 (95% CI,2.70-6.02; p<0.00001).<h4>Conclusions</h4>In cardiac arrest patients who present with PEA, bedside US has an important role in predicting ROSC. The presence of cardiac activity in PEA patients may encourage more aggressive resuscitation.https://doi.org/10.1371/journal.pone.0191636
spellingShingle Chunshuang Wu
Zhongjun Zheng
Libing Jiang
Yuzhi Gao
Jiefeng Xu
Xiaohong Jin
Qijiang Chen
Mao Zhang
The predictive value of bedside ultrasound to restore spontaneous circulation in patients with pulseless electrical activity: A systematic review and meta-analysis.
PLoS ONE
title The predictive value of bedside ultrasound to restore spontaneous circulation in patients with pulseless electrical activity: A systematic review and meta-analysis.
title_full The predictive value of bedside ultrasound to restore spontaneous circulation in patients with pulseless electrical activity: A systematic review and meta-analysis.
title_fullStr The predictive value of bedside ultrasound to restore spontaneous circulation in patients with pulseless electrical activity: A systematic review and meta-analysis.
title_full_unstemmed The predictive value of bedside ultrasound to restore spontaneous circulation in patients with pulseless electrical activity: A systematic review and meta-analysis.
title_short The predictive value of bedside ultrasound to restore spontaneous circulation in patients with pulseless electrical activity: A systematic review and meta-analysis.
title_sort predictive value of bedside ultrasound to restore spontaneous circulation in patients with pulseless electrical activity a systematic review and meta analysis
url https://doi.org/10.1371/journal.pone.0191636
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