Development of prediction models of severity of leptospirosis

Abstract

Defined and studied the signs that characterize he severity of leptospirosis. Specified clinical and laboratory parameters determined in patients in the initial stage of the disease. Showed signs that, despite its  on-specific, represent a high predictive value. On this basis, perhaps moreaccurately predict the severity of the disease and, therefore, choose a more effective drug therapy in early and remote period of the disease, thereby providing medical assistance to more efficiently and effectively. Marked the most significant features to determine the severity of leptospirosis in the prehospital and emergency department, as well as in the department of infectious hospital for 1–2 day stay, the patient. The possibilities of development and use of multivariate mathematical-statistical models to predict the severity of disease variants at the initial examination the patient’s physician.