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: 3122
Function: getPubMedXML
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
The duration of low flow prior to initiation of extracorporeal cardiopulmonary resuscitation (eCPR) appears to influence survival. Strategies to reduce the low-flow interval for out-of-hospital cardiac arrest have been focused on expediting patient transport to the hospital or initiating extracorporeal support in the prehospital setting. To date, a direct comparison of low-flow interval between these strategies has not been made. To attempt this comparison, a model was created to predict low-flow intervals for each strategy at different locations across the city of Albuquerque, New Mexico. The data, specific to Albuquerque, suggest that a prehospital cannulation strategy consistently outperforms an expedited transport strategy, with an estimated difference in low-flow interval of 34.3 to 37.2 minutes, depending on location. There is no location within the city in which an expedited transport strategy results in a shorter low-flow interval than prehospital cannulation. It would be rare to successfully initiate eCPR by either strategy in fewer than 30 minutes from the time of patient collapse. Using a prehospital cannulation strategy, the entire coverage area could be eligible for eCPR within 60 minutes of patient collapse. The use of predictive modeling can be a low-cost solution to assist with strategic deployment of prehospital resources and may have potential for real-time decision support for prehospital clinicians.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1080/10903127.2022.2079782 | DOI Listing |
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