எங்கள் குழு ஒவ்வொரு ஆண்டும் அமெரிக்கா, ஐரோப்பா மற்றும் ஆசியா முழுவதும் 1000 அறிவியல் சங்கங்களின் ஆதரவுடன் 3000+ உலகளாவிய மாநாட்டுத் தொடர் நிகழ்வுகளை ஏற்பாடு செய்து 700+ திறந்த அணுகல் இதழ்களை வெளியிடுகிறது, இதில் 50000 க்கும் மேற்பட்ட தலைசிறந்த ஆளுமைகள், புகழ்பெற்ற விஞ்ஞானிகள் ஆசிரியர் குழு உறுப்பினர்களாக உள்ளனர்.
அதிக வாசகர்கள் மற்றும் மேற்கோள்களைப் பெறும் திறந்த அணுகல் இதழ்கள்
700 இதழ்கள் மற்றும் 15,000,000 வாசகர்கள் ஒவ்வொரு பத்திரிகையும் 25,000+ வாசகர்களைப் பெறுகிறது
Mei Li, Yan-Jun Qin, Xin-Liang Zhang, Chun-Hua Zhang, Rui-Juan Ci, De-Zheng Hu, Shi-Min Dong
Background: Severe trauma could induce sepsis due to the loss of control of the infection, which may eventually lead to death. Accurate and timely diagnosis of sepsis with severe trauma remains challenging both for clinician and laboratory. Combinations of markers, as opposed to single ones, may improve diagnosis. We therefore compared the diagnostic characteristics of routinely used biomarkers of sepsis alone and in combination, trying to define a biomarker panel to predict sepsis in severe patients.
Methods: This prospective observational study included patients with severe trauma (ISS 16 or more) in the EICU at a university hospital. Blood samples were collected at 8 a.m. every day after admission to the EICU, until the day included patients were transferred out of EICU. Plasma levels of PCT, CRP, IL-6 and SAA were measured using commercial ELISA kits. Receiver operating characteristic (ROC) curves were used to evaluate the ability of the biomarkers to identify the possibility of sepsis in the enrolled patients. Logistic regression models were used to identify independent risk factors for sepsis.
Results: A total of 100 patients were eligible for analysis. Of these, 52 were diagnosed with sepsis. CRP yielded the highest discriminative value with an area under the ROC curve (AUC) of 0.82 (82% Confidence Interval (CI), 0.73–0.91; P<0.001), followed by PCT (AUC 0.77 (0.68–0.86); P<0.001). Whereas, in multiple logistic regression, SAA, CRP, and PCT were found to be independent predictors of sepsis. Bioscore which was composed of SAA, CRP, and PCT, with AUC=0.89(95%CI, 0.82-0.95), cut-off=0.28, sensitivity=0.77, specificity=0.9, P<0.001, was shown to be far superior to that of each individual biomarker taken individually.
Conclusion: Compared with single markers, the biomarker panel of PCT, CRP, and SAA was more predictive of sepsis in severe polytrauma patients.