Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: Network is unreachable
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: 1075
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3195
Function: GetPubMedArticleOutput_2016
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
98%
921
2 minutes
20
This study explores the predictive utility of brain natriuretic peptide (BNP) levels in assessing outcomes for patients with chronic left heart failure (LHF). A cohort of 59 patients diagnosed with chronic LHF was compared to 59 healthy controls. BNP levels, alongside other cardiac function parameters, such as left ventricular ejection fraction (LVEF) and left ventricular end-systolic dimension (LVESD), were evaluated. Results revealed that BNP levels were positively correlated with worsening cardiac function and negatively correlated with LVEF. In individuals with obesity or Type 2 diabetes mellitus, BNP levels were unexpectedly lower, whereas patients with chronic kidney disease or atrial fibrillation exhibited elevated BNP levels. A BNP cut-off value of 98.9 was identified, demonstrating high diagnostic sensitivity (91.53%), specificity (83.05%), and accuracy (88.14%). The area under the ROC curve (AUC) indicated strong diagnostic performance for BNP in predicting adverse cardiovascular events. The findings underscore BNP's value not only as a biomarker for diagnosing LHF but also in prognostication and tailoring patient-specific interventions. Future studies should validate these findings across diverse populations to enhance clinical application. Chinese Clinical Trial Registry identifier: ChiCTR2500101966.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12374807 | PMC |
http://dx.doi.org/10.1155/cdr/9353377 | DOI Listing |