Improving the prognosis of patients with peritoneal dialysis（PD）and developing standardized method for predicting PD clinical outcomes have been received widespread attention in recent years. The currently recognized core outcomes affecting PD prognosis are PD - associated infections，cardiovascular disease，death，reduced quality of life，and technical failure. Predicting and identifying high-risk patients with poor prognosis for PD clinical outcomes and intervening early are of great importance for improving survival rate and quality of life as well as improving prognosis of PD patients. This paper reviews the relevant research progress in recent years from three aspects：biological markers，risk prediction models，and artificial intelligence.