Unsere Gruppe organisiert über 3000 globale Konferenzreihen Jährliche Veranstaltungen in den USA, Europa und anderen Ländern. Asien mit Unterstützung von 1000 weiteren wissenschaftlichen Gesellschaften und veröffentlicht über 700 Open Access Zeitschriften, die über 50.000 bedeutende Persönlichkeiten und renommierte Wissenschaftler als Redaktionsmitglieder enthalten.

Open-Access-Zeitschriften gewinnen mehr Leser und Zitierungen
700 Zeitschriften und 15.000.000 Leser Jede Zeitschrift erhält mehr als 25.000 Leser

Abstrakt

Evaluating the Ability of the Biomarkers to Identify the Possibility of Diagnosing Sepsis in the Enrolled Patients

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.

Haftungsausschluss: Dieser Abstract wurde mit Hilfe von Künstlicher Intelligenz übersetzt und wurde noch nicht überprüft oder verifiziert.