Improving the prognosis of patients with PD and developing standardised PD clinical outcomes has received widespread attention in recent years. The currently recognised core outcomes affecting PD prognosis are PD-associated infections, cardiovascular disease, death, reduced quality of life and technical failure. Predicting and identifying patients at high risk of poor prognosis for PD clinical outcomes and intervening early are important for improving survival and quality of life and improving prognosis in PD patients. This paper reviews the relevant research progress in recent years from three aspects: biological markers, risk prediction models, and artificial intelligence.