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
Objective: To investigate the efficiency of European System for Cardiac Operative Risk Evaluation (EuroSCORE) in predicting in-hospital mortality for the patients after percutaneous coronary intervention (PCI).
Methods: Retrospective analysis was conducted on the patients who had undergone PCI in our hospital since year 2005 to 2007. We used both cumulative EuroSCORE score and logistic EuroSCORE to predict the in-hospital morality and to analyze the correlation between the predicted mortality and the actual mortality.
Results: According to the additive EuroSCORE, we divided the patients into three groups, the additive EuroSCORE 0-2 were divided into low-risk group, 3-5 were divided into mid-risk group and ≥ 6 into high-risk group. The actual in-hospital mortality rates were 0%, 0.47% and 6.09% respectively. The EuroSCORE model demonstrated an overall relation between the EuroSCORE ranking and the incidence of in-hospital mortality (P<0.001). Results from the multivariable logistic regression analysis showed that the EuroSCORE was an independent in-hospital mortality predictor (P<0.01).
Conclusion: The EuroSCORE risk model and the in-hospital mortality were significantly correlated, indicating that the model was a promising method for predicting the in-hospital mortality of PCI patients.
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