Title |
Prediction of sepsis in trauma patients
|
---|---|
Published in |
Burns & Trauma, July 2014
|
DOI | 10.4103/2321-3868.135479 |
Pubmed ID | |
Authors |
He Jin, Zheng Liu, Ya Xiao, Xia Fan, Jun Yan, Huaping Liang |
Abstract |
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. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 1% |
Egypt | 1 | 1% |
Unknown | 67 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 13 | 19% |
Student > Bachelor | 8 | 12% |
Other | 7 | 10% |
Researcher | 6 | 9% |
Student > Postgraduate | 6 | 9% |
Other | 13 | 19% |
Unknown | 16 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 37 | 54% |
Biochemistry, Genetics and Molecular Biology | 4 | 6% |
Agricultural and Biological Sciences | 3 | 4% |
Nursing and Health Professions | 2 | 3% |
Engineering | 2 | 3% |
Other | 3 | 4% |
Unknown | 18 | 26% |