Cirrhosis is a progressive developing liver disease transforming normal hepatocytes into scar tissue with loss of function.The prevalence of cirrhosis has approximately tripled over the past two decades. With the increasing incidence of chronic liver disease, about 2 million people died from cirrhosis worldwide. Currently, D'Amico stage classification and Child-Pugh and Model for End-Stage Liver Disease (MELD) scores constitute the best tools to predict mortality in patients with Cirrhosis; however, one of their main limitations is the lack of evaluation of the nutritional and functional status. Patients with End-Stage Liver Disease (ESLD) have reduced nutritional intake, hypermetabolism, increased energy expenditure, impaired fasting adaptability, decreased hepatic glycogen reserves, and increased consumption of protein as the main energy donor that often lead to malnutrition, therefore, malnutrition is one of the most common complications in patients with Cirrhosis, is closely related to the increase in morbidity and mortality. Moreover, malnutrition is closely related to the high incidence of infection, ascites, hepatic encephalopathy, and hepatorenal syndrome, and is an independent risk factor affecting the survival rate of patients with End-Stage Liver Disease, including liver transplantation. Therefore, malnutrition should be treated as equally important complications such as ascites and hepatic encephalopathy, and accurate screening, evaluation and appropriate nutritional intervention measures should be taken to improve the prognosis of patients with Cirrhosis. This study aims to establish a nomogram model about nutritional factors to predict the prognosis of patients with Cirrhosis, verify and optimize the model, through the establishment of the model, to more comprehensively evaluate and predict the prognosis of patients with Cirrhosis from the perspective of nutrition, to provide sufficient basis and lay a solid foundation for further nutritional intervention and improve patient prognosis.