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
Cardiovascular disease (CVD) is the leading cause of the growing global disease burden due to non-communicable diseases. For successful prevention and control of CVD, strategies that focus on individuals need to complement population-wide strategies. Strategies that focus on individuals are cost effective only when targeted at high-risk groups. Risk prediction tools that easily and accurately predict an individual's absolute risk of CVD are key to targeting limited resources at high-risk individuals who are likely to benefit the most. Health systems in low-income countries do not have the basic infrastructure facilities to support resource-intensive risk prediction tools, particularly in primary healthcare. The WHO/ISH charts presented here, enable the prediction of future risk of heart attacks and strokes in people living in low and middle income countries, for the first time. Furthermore, since the charts use simple variables they can be applied even in low resource settings. Thus the WHO/ISH risk predication charts and the accompanying guideline will improve the effectiveness of cardiovascular risk management even in settings which do not have sophisticated technology.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1097/HJH.0b013e3282861fd3 | DOI Listing |
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