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
Preeclampsia occurs in 3-8% of the pregnancies and is associated with a high rate of morbi-mortality, both for mothers and the fetus. Screening and prevention of patients at risk are the optimal way to reduce the morbi-mortality of this disease. To set-up a preventive approach to preeclampsia (PE), one has to identify using a screening strategy for the population at risk and propose them an appropriate therapeutic intervention that would bear a favorable benefits/risk ratio. While the classical method only considers epidemiological risk factors to set up preventive measures, several authors have set-up complex multiparameter algorithm to detect a population at risk of PE. The new pyramid of pregnancy care integrates an early clinic allowing the assessment of biophysical and biochemical markers combined with maternal factors. Such an approach can identify pregnancies that are at high risk of PE and reduce its prevalence using low-aspirin regimen initiated as early as possible in the population at risk.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1080/14767058.2019.1588877 | DOI Listing |
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