RÉSUMÉ
Objective:To investigate the factors influencing the short-term prognosis of patients with acute diquat poisoning (ADQP).Methods:Patients with ADQP admitted to the Affiliated Hospital of Xuzhou Medical University and Xuzhou Occupational Disease Prevention Hospital from August 2015 to July 2022 were retrospectively selected. Patients were divided into survival group and death group according to 30-day survival status after poisoning. The general data and the results of the first laboratory examination after admission were compared between the two groups. Logistic regression analysis was used to analyze the independent risk factors associated with prognosis. And the receiver operating characteristic (ROC) curve was drawn to evaluate the prognostic value of risk factors in patients with ADQP.Results:A total of 79 ADQP patients were included in this study, including 40 patients in the survival group and 39 patients in the death group. There were statistically significant differences in the age, poisoning dose, white blood cell, alanine aminotransferase, aspartate aminotransferase, serum creatinine, blood urea, neutrophil to lymphocyte ratio, monocyte to lymphocyte ratio, and systemic immune inflammation index (SII) between survival and death groups (all P<0.05). Multivariate logistic regression analysis showed that the poisoning dose ( OR=1.018, 95% CI: 1.001-1.035, P=0.033), serum creatinine ( OR=1.049, 95% CI: 1.005-1.095, P=0.028), and SII ( OR=1.001, 95% CI: 1.000-1.002, P=0.029) were independent risk factors for the prognosis of patients with diquat poisoning. The areas under the curves of the combined detection of poisoning dose, serum creatinine and SII was 0.968, the sensitivity was 0.949, and the specificity was 0.900, which were higher than those of the single index. Conclusions:The poisoning dose, serum creatinine and SII are independent prognostic predictors of patients with ADQP. The combination of three independent factors has higher sensitivity and specificity in evaluating the prognosis of ADQP, which could be used as a reliable indicator to predict the prognosis of patients with ADQP.