Development and validation of nomogram models for severe and fatal COVID-19

Elevated age, NEU, and LDH levels, along with decreased LYM and albumin (ALB) levels, are risk factors for severe illness in hospitalized patients with COVID-19. A history of cerebral infarction and tumors, along with elevated LDH and decreased ALB levels, are risk factors for death in critically ill patients. The nomogram model based on these factors can effectively predict the risk of severe or fatal illness from COVID-19, thereby assisting clinicians in timely interventions to reduce the rates of severe illness and mortality among hospitalized patients. However, the model faces challenges in processing longitudinal data and specific points in time, indicating that there is room for improvement.