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 determine prognostic risk factors of exertional heat stroke (EHS).
Methods: Sixty-nine patients who met the case definition of EHS at ten military hospitals from June 2002 to August 2012 were enrolled in this retrospective study. The clinical data and prognosis was observed, including rhabdomyolysis (RM), disseminated intravascular coagulation (DIC), acute kidney injury (AKI), hepatosis, epilepsy, shock, arrhythmia, multiple organ dysfunction syndrome (MODS) and consciousness disorder. A logistic regression analysis was made to look for the significant risk factors, and its accuracy and reliability were tested and verified by statistical equation.
Results: There were 69 patients with EHS in the study, and 18 (26.09%) were dead. The independent prognostic factors were identified as DIC and AKI [DIC odds ratio (OR)=94.994, 95% confidence interval (95%CI) 3.837-2352.031, P=0.005; AKI OR=90.871, 95%CI 2.079-3971.995, P=0.019]. The mortality was 16.67% (3/18) when any one factor exist; the mortality was 93.75% (15/16) when two factors exist (sensibility was 83.33%; with specificity of 98.03%, positive predictive value of 93.75%, negative predictive value of 94.34%, and accuracy of 94.20%).
Conclusions: Among all the clinical parameters, the major risk factors affecting prognosis of EHS included DIC and AKI. The mortality might go very high if both two risk factors exist.
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Source |
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http://dx.doi.org/10.3760/cma.j.issn.2095-4352.2013.09.002 | DOI Listing |
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