Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3165
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
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Objective: To determine the influence of intraoperative factors relative to preoperative risk factors on recovery after aortic root replacement (ARR).
Methods: Retrospective review of baseline and intraoperative characteristics was performed of 822 patients at our Aortic Center from 2005 to 2019. Inclusion criteria were all patients age 18 and older who underwent ARR at our institution from 2005 to 2019. The primary endpoint was the aggregate outcome of "failure to achieve uneventful recovery (FUR)," as previously defined.
Results: In total, 207 (25%) patients experienced FUR. The following preoperative and intraoperative variables were significantly associated with FUR in the multivariable analysis: cardiopulmonary bypass time (OR 1.01, 95% CI 1.01-1.02) open chest management (OR 5.67, 95% CI 2.65-12.1), ejection fraction (OR 1.03, 95% CI 1.01-1.04), chronic kidney disease > stage 3a (OR 2.37, 95% CI 1.54-3.63), bicuspid aortic valve (OR 1.54, 95% CI 1.21-1.96), and female sex (OR 1.30, 95% CI 1.06-1.61). Cardiopulmonary bypass time and open chest management were among the top three partial R contributors to the logistic regression model variance.
Conclusions: These findings suggest efficacy in using intraoperative parameters to predict postoperative outcomes after ARR.
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http://dx.doi.org/10.1007/s11748-023-01957-0 | DOI Listing |