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10.4103/2321-3868.135479 http://scihub22266oqcxt.onion/10.4103/2321-3868.135479 C5012019!5012019!27602370     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=27602370&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\27602370.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Burns+Trauma 2014 ; 2 (3): 106-13 Nephropedia Template TP {{tp|p=27602370|t=2014. Prediction of sepsis in trauma patients |pdf=|usr=}}{{27602370}} gab.com Text Prediction of sepsis in trauma patients JO: Burns Trauma http://www.kidney.de/pget.php?&tw=1&pmid=27602370 #FOAvip Trauma is one of the leading causes of death worldwide. Approximately 39.5% of deaths occur in the hospital, and the mortality rate of delayed death caused by septic complications is still high. Early prediction of the development of sepsis can help promote early intervention and treatment for patients and contribute to improving patient outcomes. Thus so far, biomarkers, patient demographics and injury characteristics are the main methods used for predicting sepsis in trauma patients. However, studies that verify their predictive value are limited, and the results are still controversial. More work should be conducted to explore more efficient and accurate ways to predict post-traumatic sepsis. Twit Text FOAVip Prediction of sepsis in trauma patients ????Burns Trauma http://www.kidney.de/pget.php?&tw=1&pmid=27602370 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27602370 #FOAvip English Wikipedia <ref>{{Cite pmid|27602370}}</ref> Prediction of sepsis in trauma patients #MMPMID27602370 Jin H; Liu Z; Xiao Y; Fan X; Yan J; Liang H Burns Trauma 2014[]; 2 (3): 106-13 PMID27602370show ga Trauma is one of the leading causes of death worldwide. Approximately 39.5% of deaths occur in the hospital, and the mortality rate of delayed death caused by septic complications is still high. Early prediction of the development of sepsis can help promote early intervention and treatment for patients and contribute to improving patient outcomes. Thus so far, biomarkers, patient demographics and injury characteristics are the main methods used for predicting sepsis in trauma patients. However, studies that verify their predictive value are limited, and the results are still controversial. More work should be conducted to explore more efficient and accurate ways to predict post-traumatic sepsis. �Prediction of sepsis in trauma patients (epmc).pdf DeepDyve Pubget Overpricing