Abstract

The aim of this study is the identification of a reliable predictor of prognosis to optimize the treatment of acute paraquat (PQ) poisoning patients. We performed a retrospective analysis on 96 patients with acute PQ poisoning to evaluate leucocyte count as a predictor of 90-day survival. These patients were admitted to the emergency department from May 2012 to February 2017. Kaplan–Meier method was used to compare the 90-day survival. Cox proportional hazard models were utilized to estimate the hazard ratios (HR) and 95% confidence intervals (CI). Receiver operating characteristic (ROC) analysis was conducted to analyze the discriminatory potential of leucocyte with respect to 90-day survival. Result showed that leucocyte was significantly higher among nonsurvivors than that among survivors (p<0.001). Leukocyte was also an independent predictor of survival according to the multivariate Cox analysis (HR 1.103; 95%CI: 1.062–1.146; p<0.001). The area under the curve (AUC) for leucocyte (AUC 0.911; 95%CI: 0.855–0.966; p<0.001) showed a discriminatory potential similar to that of the plasma PQ concentration (AUC 0.961; 95%CI: 0.926–0.997; p<0.001) in predicting 90-day survival. The leucocyte count is a strong predictor of survival in patients with acute PQ poisoning.

Highlights

  • Paraquat (N,N0-dimethyl–4,40–bipyridinium dichloride; PQ) is a widely used effective herbicide with favorable environmental characteristics and cost effectiveness

  • PQ poisoning exhibits low survival rate, especially in patients with moderate to severe poisoning; this poisoning may result in acute renal failure, hepatitis, and pulmonary fibrosis, which often lead to death within several weeks

  • The Receiver operating characteristic (ROC) curve of leucocyte showed an area under the curve (AUC) of 0.911

Read more

Summary

Introduction

Paraquat (N,N0-dimethyl–4,40–bipyridinium dichloride; PQ) is a widely used effective herbicide with favorable environmental characteristics and cost effectiveness. PQ poisoning exhibits low survival rate, especially in patients with moderate to severe poisoning; this poisoning may result in acute renal failure, hepatitis, and pulmonary fibrosis, which often lead to death within several weeks. Intentional self-poisoning with PQ is an important public health problem in the Asia–Pacific region with an estimated 300,000 deaths annually [1]. A reliable predictor of prognosis is useful for the future treatment of acute PQ poisoning patients. The early prediction of prognosis could allow a more suitable therapy for patients having the best predictable survival rate and stimulate new research for the treatment of patients, who have the intermediate or worst prognostic parameters [2].

Objectives
Methods
Results
Discussion
Conclusion

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.