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: 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
Objective: The inter-arm SBP difference (IASBPD) can serve as a predictor of cardiovascular disease (CVD). In this study, we aimed to determine the relationship between IASBPD and central blood pressure (CBP).
Methods: The study cohort comprised of 7842 eligible individuals. Their BPs were assessed simultaneously in both arms using an Omron BP-203RPEIII vascular profiler, and the IASBPD was measured as the absolute difference in these values (absolute value of left minus right). The CBP was noninvasively measured using an Omron HEM-9000AI device. Multivariate regression analysis was used to assess the association between the central SBP (cSBP) and the IASBPD.
Results: An IASBPD of ≥10 mmHg was positively associated with the cSBP (β = 2.26; 95% confidence interval, 1.04-3.48; P < 0.001). The interaction test showed no significant interactions between the IASBPD and any of the assessed covariates (age group; sex; BMI; smoking status; heart rate group; the presence of hypertension, diabetes, or CVD; and antihypertensive drug use) when the cSBP was used as the outcome in the subgroup analysis.
Conclusion: The mechanism underlying the ability of the IASBPD to predict CVD may partly involve an increase in the CBP.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1097/MBP.0000000000000506 | DOI Listing |
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