Objective? To explore the effects of follow-up management on blood pressure and glomerular filtration rate (GFR) in patients with chronic kidney disease (CKD). Methods? Totally 660 CKD patients who established health records from June 2016 to June 2017 and received regular follow-up management in the Follow-up Management Center for CKD, West China Hospital, Sichuan University were selected by convenient sampling in this self-control study. The patients received follow-up management for CKD for 12 months and their blood pressure and GFR were measured before and after the follow-up. Results? After the 12-month follow-up, the patients' systolic pressure and diastolic pressure were (126.76±16.35) mmHg and (77.85±10.84) mmHg respectively, both lower than those before the follow-up (t=42.7, 56.2; P＜0.05). The patients' GFR decreased 2.86 ml/min·1.73m2, whose falling range was better than the average level in China. Conclusion? Follow-up management for CKD can effectively reduce the patients' blood pressure and delay the progress of their renal function, which is worth promoting in clinical practice.

As traditional Chinese medicine （TCM） culture evolves， the academic thoughts of these practitioners， being a core component of TCM inheritance， are gradually shifting from traditional models to digital and intelligent approaches. However， this process faces challenges， including insufficient standardization of data collection and processing， low inheritance efficiency， and the risk of inheritance alienation. To address these issues， this paper proposed the construction of an intelligent platform following the "intelligence-transmission-modeling-linkage" path. "Intelligence" involves using smart perception technologies to accurately collect and classify diagnostic and therapeutic information from famous TCM practitioners， laying the foundation for digital inheritance； "transmission" focuses on leveraging artificial intelligence to mine and inherit the clinical experience of famous TCM practitioners， thereby establishing a "regional academic schools+group commonality" dynamic inheritance system； "modeling" integrates the academic thoughts and advantageous diseases of multiple schools to develop intelligent diagnostic and therapeutic models of famous TCM practitioners， resulting in personalized treatment plans； "linkage" involves constructing a clinical decision support system of famous TCM practitioners by integrating blockchain and generative intelligence， creating an AI digital avatar of TCM diagnostic and therapeutic knowledge. The "intelligence-transmission-modeling-linkage" intelligent inheritance model not only provides new ideas for the digital inheritance of TCM academic schools， but also offers strong support for the modernization and internationalization of TCM.