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
Heart failure (HF) has a complex pathophysiology including neurohormonal activation, inflammation and oxidative stress that, together with comorbidities, promote progressive myocardial damage and cardiac remodeling. Over the years the study of these pathogenic mechanisms has led to the identification of several analytes potentially useful as biomarkers in HF. High-sensitivity troponins and soluble suppression of tumorigenesis-2 are the most promising biomarkers for risk stratification of HF, with independent value to natriuretic peptides. Other biomarkers currently being evaluated as predictors of adverse outcome in HF are galectin-3, growth differentiation factor 15, mid-regional pro-adrenomedullin as well as makers of renal dysfunction. The use of multi-marker scores as well as the application of genomics, transcriptomics, proteomics and metabolomics could further refine the management of HF.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1714/3592.35748 | DOI Listing |
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