Objective:To test whether the constructed intervention model of advance care planning (ACP) for patients with advanced cancer can be successfully implemented and the preliminary intervention effect, which provides reference for empirical research.Methods:32 cases of advanced cancer patients and 25 cases of their families at the Fifth Affiliated Hospital of Zunyi Medical University, Zhuhai were selected. The patients were subdivided into the experimental group and the control group by random number table method. The control group received routine nursing, while the experimental group adopted the intervention model of "VIP for future care" on the basis of customary nursing. We measured the main outcome indicators: enrollment rate, consent rate, completion rate and loss of follow-up rate and secondary outcome indicators: decision-making certainty, end-of-life care preference and post-intervention satisfaction of patients and their families, within 1 week and 1 month after intervention.Results:The enrollment rate, consent rate and loss of follow-up rate were 74.6% (206/276), 36.9% (76/151)and 15.6% (5/32), respectively. After intervention, the completion rates of the experimental group and the control group were 16/16 and 15/16 within one week, and 14/16 and 13/16 within one month. All of the family members were conducted during the follow-up period. The intervention mode of "VIP for future care" had a statistically significant difference in decision-making certainty between the two groups of patients ( β=0.63, 95% CI 0.08-1.18, P<0.05), no statistically significant difference in end-of-life care preference between the two groups of patients and their families ( P>0.05), and had a statistically significant difference in "whether to recommend this project to others" between the two groups ( χ2 value was 4.167 , P<0.05). Conclusions:On the premise of sufficient preparation, the "VIP for future care" intervention mode can be successfully implemented in advanced cancer patients in mainland China, can improve the decision-making certainty of patients and the satisfaction of patients and their families, and it is recommended. And should be applied to ACP intervention for patients with advanced cancer.

Ischemic stroke is prone to recurrence, which is the leading cause of death and disability in stroke. Using predictive model to assess the recurrence risk in patients with ischemic stroke, stratifying risk, and formulating corresponding interventions to reduce the recurrence rate are the core contents of secondary prevention. In this paper, research progress on the prediction of recurrence risks of ischemic stroke recently is summarized from the predicting content or factors, including clinical factors, imaging factors, biological markers and traditional Chinese Medicine syndrome differentiation, and the methods of constructing prediction models about traditional statistical methods and machine learning, in order to provide a reference for clinical work.