This paper summarizes Professor WANG Yaoxian's experience in treating diabetic kidney disease （DKD） from the perspective of spleen and stomach based on the "internal heat leading to concretions" theory. It is considered that internal heat leading to concretions constitutes the core pathogenesis of DKD， with the spleen and stomach serving as the source of internal heat； therefore， treatment should be based on regulating the spleen and stomach. In the early stage of DKD， dysfunction of the spleen and stomach leads to the initial generation of internal heat. Common syndrome patterns include gastrointestinal heat accumulation and constrained heat in the liver and stomach， for which modified Gegen Qinlian Decoction （葛根芩连汤） can be used to clear heat bind while modified Dachaihu Decoction （大柴胡汤） is used to clear stomach and soothe liver， respectively. In the middle stage of DKD， weakness of the spleen and stomach results in the initial formation of concretions and conglomerations. Common patterns include spleen deficiency with prevalence of dampness and deficiency of both the spleen and kidney. Treatment emphasizes strengthening the spleen and resolving dampness， raising yang and boosting the stomach with modified Shengyang Yiwei Decoction （升阳益胃汤）， or supplementing spleen and boosting kidney， dissipating bind and dispe-ring concretions with modified Shenqi Dihuang Decoction （参芪地黄汤）， respectively. In the late stage of DKD， it is characterized by spleen and stomach depletion， and rampant accumulation of turbidity and toxin， and the common syndrome patterns are damp-turbidity obstruction in the middle jiao （焦） and spleen-kidney yang deficiency. Treatment aims to remove turbidity and harmonize the stomach， or to warm the kidney and strengthen the spleen while elimina-ting turbidity， using modified Dahuang Gancao Decoction（大黄甘草汤） and Jupi Zhuru Decoction （橘皮竹茹汤） or modified Baoyuan Decoction （保元汤） and Lizhong Decoction （理中汤）， respectively. In clinical practice， appropriate formulas and medications are flexibly selected according to specific syndromes.

Objective To evaluate the application value of stereotactic robotic surgery driven by a multi scenario AI system in the elderly with severe hypoperfusion in the internal capsule area and minor HTH.Methods A retrospective analysis was conducted on 101 minor HTH patients com-plicated with severe hypoperfusion in the internal capsule area identified by an AI diagnostic sys-tem in our department from January to October 2024.Among them,48 cases who underwent ster-eotactic robotic drainage with AI system support were assigned into the study group,and 53 cases of conventional drug treatment were into the control group.The general clinical data were com-pared between the two group.Improvement rate of rCBF 14 d after treatment,effective rate 90 d after treatment,favorable prognosis rate,and incidence of shunt dependent hydrocephalus were compared between the two groups to evaluate the application value of AI-assisted stereotactic ro-botic surgery in these patients.Results The study group had significantly higher improvement rate of rCBF 14 d after treatment,better effective rate and larger ratio of favorable prognosis 90 d after treatment when compared with the control group(60.4％vs 39.6％,P＜0.05;62.5％vs 41.5％,P＜0.05;64.6％vs 43.4％,P＜0.05).Conclusion Stereotactic robotic assisted drainage driven by multi scenario AI system can significantly improve the prognosis of the elderly minor HTH patients complicated with severe hypoperfusion in the internal capsule area.

Objective To evaluate the application value of stereotactic robotic surgery driven by a multi scenario AI system in the elderly with severe hypoperfusion in the internal capsule area and minor HTH.Methods A retrospective analysis was conducted on 101 minor HTH patients com-plicated with severe hypoperfusion in the internal capsule area identified by an AI diagnostic sys-tem in our department from January to October 2024.Among them,48 cases who underwent ster-eotactic robotic drainage with AI system support were assigned into the study group,and 53 cases of conventional drug treatment were into the control group.The general clinical data were com-pared between the two group.Improvement rate of rCBF 14 d after treatment,effective rate 90 d after treatment,favorable prognosis rate,and incidence of shunt dependent hydrocephalus were compared between the two groups to evaluate the application value of AI-assisted stereotactic ro-botic surgery in these patients.Results The study group had significantly higher improvement rate of rCBF 14 d after treatment,better effective rate and larger ratio of favorable prognosis 90 d after treatment when compared with the control group(60.4％vs 39.6％,P＜0.05;62.5％vs 41.5％,P＜0.05;64.6％vs 43.4％,P＜0.05).Conclusion Stereotactic robotic assisted drainage driven by multi scenario AI system can significantly improve the prognosis of the elderly minor HTH patients complicated with severe hypoperfusion in the internal capsule area.

Objective To establish a predictive nomogram model for diabetic peripheral neuropathy(DPN)in elderly diabetic patients.Methods A total of 200 elderly patients with T2DM admitted to our hospital were enrolled in this study from January 2021 to October 2023.All the patients were divided into a simple T2DM group(n=160)and a T2DM combined with DPN(DPN,n=40)group.The general data and biochemical indexes were compared between the two groups.Spearman correlation analysis was used to explore the correlation between clinical indicators and the occurrence of DPN in the elderly.Logistic regression was used to analyze the influencing factors for DPN in the elderly,and a nomogram was constructed.The receiver operating characteristic(ROC)curve was used to evaluate the predictive efficacy of the model.Results The DM duration,DR and HbA1c were higher(P<0.05),while HDL-C was lower in the DPN group than in the T2DM group(P<0.05).Spearman correlation analysis showed that elderly DPN were positively correlated with DR,DM duration and HbA1c(r=0.456,0.565,0.580,P<0.05),and negatively correlated with HDL-C(r=-0.542,P<0.05).Logistic regression analysis showed that DR(OR 1.035,95%CI 1.032～1.040),DM duration(OR 1.070,95%CI 1.045～1.080),HbA1c(OR 1.235,95%CI 1.156～1.280)and HDL-C(OR 0.895,95%CI 0.877～0.950)were both influencing factors for elderly DPN.A nomogram prediction model for elderly DPN was constructed based on DR,DM duration,HbA1c and HDL-C.ROC curve analysis showed that the area under curve of this prediction model was 0.955,with a sensitivity of 92.50%,a specificity of 95.00%,and a cutoff value of 0.251.Conclusions The established predictive diagram model involves four variables,including DR,DM duration,HbA1c and HDL-C,which can assist the clinic to make an early assessment of DPN risk.

Objective To evaluate the clinical utility of hematoma drainage supported by a multi scenario artificial intelligence(AI)system in the treatment of minor hypertensive thalamic hemorrhage(HTH)with significant neurological dysfunction.Method A retrospective analysis was conducted on minor HTH patients with significant neurological damage and incomplete interruption of corticospinal tract(CST)on the affected side.Patients in the study group received Robot of Stereotactic Surgery(ROSS)assisted drainage surgery supported by AI systems in multiple scenarios such as image reading,surgery,and follow-up.The control group received standard pharmacological treatment.Comparative analyses were performed between two groups regarding regional cerebral blood flow(rCBF),changes in rCBF(ΔrCBF),Glasgow Coma Scale(GCS),changes in GCS(ΔGCS)after 14 days of treatment and National Institutes of Health Stroke Scale(NIHSS),changes in NIHSS(ΔNIHSS),Modified Rankin Scale(mRS),changes in mRS(ΔmRS)after 90 days of treatment.to evaluate the application value of multi scenario AI system supported hematoma drainage surgery in this patient population.Results A total of 88 cases were included,with 41 in the study group and 47 in the control group.The GCS and ΔGCS values of the study group and the control group at 14 days of post-treatment were 13.4±1.6 vs 13.3±1.5 and 1.1(0.8,1.9)vs.1.1(0.9,1.8),respectively with no statistically significant difference(P>0.05).At 14 days post-treatment,statistically significant difference were observed in the rCBF of the posterior limb of the internal capsule[(379.0±55.1)mL/(kg·min)vs.(263.0±34.4)mL/(kg·min)]and the ΔrCBF[(240.0±60.6)mL/(kg·min)vs.(121.0±43.9)mL/(kg·min)].At 90 day post-treatment,statistically significant difference were also found in the NIHSS scores(3.5±1.6 vs.6.4±2.1),ΔNIHSS(-4.1±1.7 vs.-0.9±0.6),mRS scores(1.1±0.3 vs.2.3±1.0),and ΔmRS[-2.1(-2.9,-1.1)vs.-0.8(-1.4,-0.6)](P<0.05).Conclusion Hematoma drainage surgery supported by multi scenario AI systems can significantly benefit minor HTH patients with significant neurological damage and incomplete interruption of CST on the affected side.

Objective To establish a predictive nomogram model for diabetic peripheral neuropathy(DPN)in elderly diabetic patients.Methods A total of 200 elderly patients with T2DM admitted to our hospital were enrolled in this study from January 2021 to October 2023.All the patients were divided into a simple T2DM group(n=160)and a T2DM combined with DPN(DPN,n=40)group.The general data and biochemical indexes were compared between the two groups.Spearman correlation analysis was used to explore the correlation between clinical indicators and the occurrence of DPN in the elderly.Logistic regression was used to analyze the influencing factors for DPN in the elderly,and a nomogram was constructed.The receiver operating characteristic(ROC)curve was used to evaluate the predictive efficacy of the model.Results The DM duration,DR and HbA1c were higher(P<0.05),while HDL-C was lower in the DPN group than in the T2DM group(P<0.05).Spearman correlation analysis showed that elderly DPN were positively correlated with DR,DM duration and HbA1c(r=0.456,0.565,0.580,P<0.05),and negatively correlated with HDL-C(r=-0.542,P<0.05).Logistic regression analysis showed that DR(OR 1.035,95%CI 1.032～1.040),DM duration(OR 1.070,95%CI 1.045～1.080),HbA1c(OR 1.235,95%CI 1.156～1.280)and HDL-C(OR 0.895,95%CI 0.877～0.950)were both influencing factors for elderly DPN.A nomogram prediction model for elderly DPN was constructed based on DR,DM duration,HbA1c and HDL-C.ROC curve analysis showed that the area under curve of this prediction model was 0.955,with a sensitivity of 92.50%,a specificity of 95.00%,and a cutoff value of 0.251.Conclusions The established predictive diagram model involves four variables,including DR,DM duration,HbA1c and HDL-C,which can assist the clinic to make an early assessment of DPN risk.

Objective To explore the mediating role of activities of daily living (ADL) in pain and depressive symptoms in the elderly in China. Methods Utilizing the data from 2020 China Health and Retirement Longitudinal Study, 4403 Chinese elderly individuals aged ≥ 60 years old were selected as the research subjects. Depression Scale (CES-D 10) of the Center for Epidemiological Survey and ADL scale were used in the study. The PROCESS4.1 macro was used to test the mediating effect of daily living activities between pain and depressive symptoms, and the Bootstrap method was applied for verification of the mediating variables. Results A total of 2368 cases of depressive symptoms were detected in the elderly in China, with a detection rate of 53.78%. Pain was positively correlated with depressive symptoms (r=0.27, P<0.01), and activities of daily living were negatively correlated with pain and depressive symptoms (r=-0.27, -0.337, P<0.01). The results showed that the total effect value of pain on depressive symptoms was 0.33, the direct effect value was 0.24, and the mediating effect value of daily living activities was 0.09, accounting for 27.27%. Conclusion Pain and activities of daily living are important factors influencing depressive symptoms in the elderly, and activities of daily living play a partial mediating role in the relationship between pain and depressive symptoms in the elderly.

Objective To analyze the correlation between serum cystatin C (Cys-C) and bone turnover markers in elderly patients with type 2 diabetes mellitus (T2DM) and osteoporosis. Methods A retrospective analysis was conducted on the data of 320 elderly patients with T2DM admitted to Huai'an First People's Hospital from August 2021 to June 2024. Patients were divided into the osteoporosis group and the non-osteoporosis group according to whether they had osteoporosis. General information, bone turnover markers, and serum Cys-C levels were collected from all patients. The data were compared between the two groups to analyze the influencing factors of osteoporosis in elderly patients with T2DM and the correlation between serum Cys-C and bone turnover markers. Results The levels of total cholesterol and LDL-C in the osteoporosis group were higher than those in the non-osteoporosis group, and the bone mineral density was lower than that in the non-osteoporosis group (P<0.05). The levels of TPINP, β-CTX, and Cys-C in the osteoporosis group were higher than those in the non-osteoporosis group, and 25-OH-D3 level was lower than that in the non-osteoporosis group (P<0.05). Serum Cys-C was positively correlated with TPINP and β-CTX, and negatively correlated with 25-OH-D₃ (P<0.05). Multivariate logistic regression analysis found that total cholesterol, LDL-C, TPINP, β-CTX, 25-OH-D₃, and Cys-C were factors influencing osteoporosis in elderly patients with T2DM (P<0.05). Conclusion Serum Cys-C levels in elderly patients with T2DM and osteoporosis are elevated. There is a significant correlation between Cys-C level and bone turnover markers.

The Chinese Pharmacopoeia is the legal technical standard which should be followed during the research, production, use, and administration of drugs. At present, the new edition of the Chinese Pharmacopoeia is planned to be promulgated and implemented. This article summarizes and analyzes the main characteristics and the content of updates and amendments of the Chinese Pharmacopoeia 2025 Edition(Volume Ⅰ), to provide a reference for the correct understanding and accurate implementation the new edition of the pharmacopoeia.