The present invention belongs to the field of prognosis of
pesticide poisoning. Specifically disclosed is a method for establishing a mortality risk prediction index for acute
diquat pesticide poisoning, comprising: collecting data; establishing a mortality
risk index model based on demographic characteristics and routine
blood test results; and training, internally validating, and externally validating the model. The mortality
risk index provided by the present invention comprehensively considers age,
blood concentration of
diquat,
white blood cell count, and aspartate aminotransferase concentration, aiming to accurately evaluate, in the form of an index, the mortality risk of patients suffering from acute
diquat pesticide poisoning. Through in-depth analysis of large-scale clinical data, the mortality
risk index of the present invention possesses scientific validity and accuracy at the
data level, and can also play an important role in clinical practice. Further, the present invention can be applied to construct a terminal device for predicting the mortality risk of acute diquat pesticide poisoning, assisting medical teams in more reasonably allocating medical resources and prioritizing high-risk patients, thereby improving overall treatment outcomes and the patients' chances of survival.