Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Objectives: The value of in-hospital systems-based interventions in streamlining treatment delays associated with reperfusion therapy delivery in acute ischaemic stroke (AIS), in the emergency department (ED), is poorly understood. This systematic review and meta-analysis aimed to assess and quantify the value of in-hospital systems-based interventions in streamlining reperfusion therapy delivery following AIS.
Material & Methods: Articles from the following databases were retrieved: Medline, Embase and Cochrane Central Register of Controlled Trials. The primary endpoint was in-hospital time metrics between the intervention and control group. The secondary endpoint included the rate of good functional outcome at 90 days.
Results: 393 Systems intervention studies published after 2015 were screened, and 231 full articles were then read. In total, 35 studies with 35,815 patients were included in the final systematic review and 26 studies with 7,089 patients were used in the meta-analysis. The greatest time reductions from in-hospital system interventions were achieved in door-to-needle (DTN) time (SMD: -2.696, 95% CI: -2.976, -2.416, z = 3.03, p = 0.002). Systems interventions were also associated with a statistically significant improvement in mortality (RR: 0.25, 95% CI: 0.18, 0.38), rate of symptomatic intracerebral haemorrhage (RR: 0.07, 95% CI: 0.04, 0.1) and ≤60-minute reperfusion rates (RR: 0.63, 95% CI: 0.51, 0.79).
Conclusions: The use of in-hospital workflow optimization is imperative to expedite reperfusion therapy delivery and improving patient outcomes. To reduce the morbidity and mortality of stroke globally, in-hospital workflow guidelines should be adhered to and incorporated including the optimal elements identified in this study.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1111/ane.13476 | DOI Listing |
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