Evaluation of serum tenascin-C level for lung injury in acute paraquat poisoning patients / 中华急诊医学杂志

ABSTRACT

Objective To investigate the clinical implications of serum tenascin-C (TNC) levels for lung injury and the prognosis in acute paraquat (PQ) poisoning patients.Methods Clinical data of acute PQ poisoning patients hospitalized in Emergency Department of First Hospital of China Medical University from January 1 to December 31,2017 were prospectively collected.Patients' serum samples were obtained on admission and serum TNC levels were quantified by a commercially available enzymelinked immunosorbent assays (ELISA) kit.Patients were followed up to 28 d after poisoning and divided into the survival and non-survival groups.The differences of clinical data together with serum TNC level between the two groups were analyzed by univariable analysis.The correlation between serum TNC level and liver function,renal function and artery blood gas results was analyzed.Logistic regression analysis was used for assessing the independent risk factors of death.ROC curves of related parameters were plotted and the area under the curve (AUC) was calculated.Results Eighty-two patients were enrolled in this study35 patients in the non-survival group and 47 patients in the survival group.There was no significant difference of data on admission between the two groups,including pH,PaO2,Cr,BUN,ALT,TBil,AMS,TNC,lung CT positive rate.But PaCO2,Lac,urine paraquat concentration and serum TNC level on admission were significantly different between the survival and non-survival groups.Furthermore,serum TNC level was correlated significantly with the worst PaO2 value,pH,and lung CT positive rate within 72 h from admission,especially the worst PaO2 value (r=-0.801,P＜0.01).Logistic regression analysis showed that the serum TNC level on admission was an independent risk factor for the prognosis of acute PQ poisoning patients.The AUC was 0.895 and the cutoff value was 41.9 ng/mL.Conclusion The early serum TNC level in acute PQ poisoning patients can predict the degree of lung injury and evaluate the prognosis.