OBJECTIVE To analyze the impact of the diagnosis-related groups （DRG） payment reform on the length of stay and medical costs in patients with chronic obstructive pulmonary disease （COPD） in Kashgar region， aiming to provide localized empirical evidence for the optimization of regional medical insurance payment methods. METHODS Based on the inpatient settlement database of the Xinjiang Uygur Autonomous Region Healthcare Security Administration， settlement data of COPD inpatients from 17 medical institutions in Kashgar region between January 1， 2022， and December 31， 2024， were extracted. The overall changes in patients’ length of stay and costs were compared before and after the reform. Subsequently， interrupted time series analysis （ITSA） was employed to explore the impact of the DRG payment reform on these variables. RESULTS Following the reform， both the average length of stay and various cost decreased significantly compared to the pre-reform period （ P ＜0.001）. At the overall sample level， the average length of stay， average total cost， average drug cost， average medical service cost， and average examination cost per admission all demonstrated significant long-term downward trends after the reform （ P ＜0.05）. However， the decrease in average out-of-pocket costs and the increase in average consumable costs per admission were not statistically significant （ P ＞0.05）. In tertiary medical institutions， the average length of stay and all categories of costs （except average consumable costs per admission） exhibited significant long-term upward trends after the reform （ P ＜0.05）； conversely， in secondary and lower-level medical institutions， the average length of stay， average total cost， average drug cost， average medical service cost， and average examination cost per admission showed significant long-term downward trends （ P ＜0.05）. CONCLUSIONS The DRG payment reform has achieved an overall effect of reducing the length of stay and controlling costs in COPD patients from Kashgar region. However， the effects vary across different levels of medical institutions： secondary and lower-level institutions show a long-term downward trend in length of stay and costs， whereas tertiary institutions exhibit a long-term upward trend. Furthermore， patients’ out-of-pocket financial burden does not show significant improvement.

To summarize Professor GAO Shuzhong's clinical experience in treating idiopathic tinnitus with a combination of acupuncture and Chinese meteria medica. It is believed that idiopathic tinnitus is mostly caused by weak lungs and spleen， kidney essence deficiency， liver constraint transforming into fire， and binding constraint of heart qi. Treatment advocates the combination of acupuncture and Chinese meteria medica in clinical practice. Acupuncture treatment mainly focus on the method of opening the orifices by syndrome identification in combination with Ermen （TE 21）， Tinggong （SI 19）， Tinghui （GB 2）， Shenmai （BL 62） to regulate qi and blood， and supporting with Baihui （GV 20）， Yintang （EX-HN 3）， Taichong （LR 3）， and Yanglingquan （GB 34） to soothe the liver， resolve constraint， and calm the mind. Oral administration of Chinese medicinal prescription usually includes modified Yiqi Congming Decoction （益气聪明汤） and Tongqi Powder （通气散）， and the external administration of Chinese medicinal prescription can apply self-prescribed Wenqing Powder （温清散） to navel moxibustion.

Objective To explore the effect of follow-up management based on the digital information platform on the compliance of early screening and follow-up of liver cancer in patients with chronic liver diseases,and to provide a management method for clinical practice.Methods Convenience sampling was adopted to include 3,959 patients who had chronic liver diseases and visited the outpatient clinic of the Department of Infectious Liver Diseases in our hospital from January 2022 to December 2023.Before the application of the digital information platform for management,it was the medical staff of the Infectious Liver Disease Department who conducted telephone follow-ups and handwritten registrations for patients with chronic liver diseases within one week after their visits.After management,A liver cancer prediction model installed in the digital information platform of the hospital automatically collected data of the patients,including information about the diseases and results of examinations for intelligent risk stratification of liver cancer.The nurses who were in charge of the follow-up performed individualised follow-up reviews based on the levels of risk.Follow-up re-visit rate of the patients in very high-and high-risks were calculated.Scores of chronic disease self-efficacy and medication compliance were compared before and at 3 months after the follow-up management.Results A total of 3,860 patients completed the study.After the follow-up management,the total follow-up re-visit rate of the patients was 88.2%(1,818/2,062)and that of the high-risk patients was 95.3%(246/258)in 2022,while those in 2023 were 94.0%(1,691/1,798)and 98.3%(232/236),respectively.After 3 months of follow-up management,scores for medication compliance and chronic disease self-efficacy showed significant improvement in comparison with those before the implementation of follow-up management(P<0.001).Conclusion The follow-up management based on a digital information platform is suitable for screening of early liver cancer in the patients with chronic liver diseases,as it improves the re-visit rate of patients for follow-up,medication compliance and self-efficacy.

Objective:To analyze the correlation between blood glucose index and peripheral neuropathy in type 2 diabetes patients under continuous blood glucose monitoring.Methods:A total of 110 patients with type 2 diabetes admitted to the Lu′an Hospital Affiliated to Anhui Medical University from November 2022 to January 2024 were retrospectively observed, and the blood glucose indexes of patients were monitored by continuous glucose meter [glucose time in range (TIR), mean blood glucose (MBG), estimated hemoglobin A 1c (eHbA 1c), blood glucose standard deviation (SD), coefficient of variation (CV), largest amplitude of glycemic excursions (LAGE), mean amplitude of glycemic excursions (MAGE), means of daily differences (MODD), etc ]. All patients with type 2 diabetes were grouped according to whether they had peripheral neuropathy or not, and were divided into the developing group and the non-developing group. General data and blood glucose indexes of the two groups were collected and sorted out. Receiver operating characteristic (ROC) curve was used to analyze the value of various blood glucose indicators in predicting peripheral neuropathy in patients with type 2 diabetes. Spearman correlation analysis was also used to evaluate the correlation between blood glucose index and peripheral neuropathy. Results:The disease course, TIR, MBG, eHbA 1c, SD, CV, LAGE, MAGE and MODD of the occurrence group were significantly different from those of the non-occurrence group (all P<0.05). By plotting the ROC curve, It was found that the area under the curve (AUC) of TIR, MBG, eHbA 1c, SD, CV, LAGE, MAGE and MODD predicting peripheral neuropathy in patients with type 2 diabetes were 0.942, 0.840, 0.705, 0.759, 0.819, 0.813, 0.857 and 0.677, respectively. The AUC of the combined prediction was 0.971(95% CI: 0.946-0.997), which was higher than that of the single indicator (all P<0.05). Spearman correlation assessment showed a negative correlation between TIR and peripheral neuropathy ( r=-0.738, P<0.05). MBG, eHbA 1c, SD, CV, LAGE, MAGE and MODD were positively correlated with peripheral neuropathy ( r=0.554, 0.376, 0.452, 0.490, 0.527, 0.625, 0.272, all P<0.05). Conclusions:Based on continuous blood glucose monitoring, the blood glucose index of type 2 diabetes patients is closely related to peripheral neuropathy, and the above blood glucose index can accurately predict peripheral neuropathy, providing a reference for reducing or preventing the occurrence of peripheral neuropathy.

Objective To explore the diagnostic performance of prostate imaging reporting and data system(PI-RADS)V2.1 score combined with prostate specific antigen(PSA)-related parameters in transition zone prostate cancer(PCa)in patients with PSA levels of 4-20 ng/mL.Methods The clinical data of 129 patients who underwent prostate biopsy were retrospectively analyzed,including age,total prostate specific antigen(tPSA),free prostate specific antigen(fPSA),f/t PSA,prostate volume(PV),and prostate specific antigen density(PSAD).Among 129 patients,52 were diagnosed with transition zone PCa and 77 with benign prostate hyperplasia.The MRI images of all patients were scored according to the PI-RADS V2.1 criteria.The clinical and imaging parameters between transition zone PCa and benign prostate hyperplasia were compared using univariate logistic regression analysis.Independent predic-tors were identified via multivariate logistic regression,and a combined predictive model was constructed.Diagnostic performance of the model was evaluated using the receiver operating characteristic(ROC)curves.Results Univariate logistic regression analysis showed that the transition zone PCa exhibited significantly higher PI-RADS V2.1 score,tPSA,and PSAD than the benign prostate hyperplasia(P＜0.05).Multivariate logistic regression analysis identified PI-RADS V2.1 score and PSAD were independent predictors for predicting transition zone PCa(P＜0.05).Optimal diagnostic thresholds were PI-RADS V2.1 score＞3 points and PSAD＞0.23 ng/mL2.The combined prediction model achieved an area under the curve(AUC)of 0.863,outperforming PI-RADS V2.1 score(AUC=0.821)and PSAD(AUC=0.779)alone(P＜0.05).Conclusion The combination of PI-RADS V2.1 score and PSAD has a high predictive value for transition zone PCa in patients with PSA levels of 4-20 ng/mL.Thresholds of PI-RADS V2.1 score＞3 points and PSAD＞0.23 ng/mLL2 significantly improve diagnostic accuracy.

Objective:To investigate the eosinophil-to-platelet ratio (EPR) in predicting the prognosis of patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD).Methods:Based on the prognosis within 3 months after discharge, 158 patients with AECOPD admitted to Wenzhou Hospital of Integrated Traditional Chinese and Western Medicine from February 2020 to February 2024 were divided into a good prognosis group and a poor prognosis group. General data, eosinophil count, platelet count, eosinophil-to-platelet ratio (EPR), procalcitonin (PCT) level, and neutrophil-to-lymphocyte ratio (NLR), were retrospectively collected from both groups. The factors influencing prognosis within 3 months after discharge were analyzed using a multivariate logistic regression model. The predictive value of these factors for poor prognosis was assessed through receiver operating characteristic curve analysis.Results:Among the 158 patients with AECOPD, 23 had a poor prognosis, 127 had a good prognosis, and 8 were lost to follow-up or died unexpectedly. The eosinophil count and EPR in the peripheral blood of patients with a poor prognosis were significantly lower than those in patients with a good prognosis ( t = 3.22, 4.11, both P < 0.05). The eosinophil count [ OR = 5.709, 95% CI: (2.653, 12.285)] and EPR [ OR = 19.747, 95% CI: (8.352, 46.686)] were independent risk factors for a poor prognosis in patients with AECOPD at 3 months after discharge (both P < 0.05). The results of the receiver operating characteristic curve analysis indicated that the area under the curve for eosinophil count and EPR in predicting a poor prognosis in patients with AECOPD at 3 months after discharge was 0.706 [95% CI: (0.596, 0.815)] and 0.730 [95% CI: (0.630, 0.829)], respectively. The cut-off values were 109.20 counts/μL for eosinophil count and 1.06 for EPR, with corresponding sensitivities and specificities of 43.48% and 88.19%, and 82.61% and 59.06%, respectively. Conclusions:EOS and EPR have good predictive value for the adverse prognosis of patients with AECOPD within 3 months after discharge, and EPR has better efficacy.

Objective To explore the effectiveness of the peripheral arterial calcification scoring system(PACSS)based on computed tomography angiography(CTA)in assessing renal function in patients with peripheral arterial disease(PAD).Methods The clinical data,CTA imaging data,and laboratory results from PAD patients who underwent lower limb artery CTA examination were retrospectively collected.The PACSS was utilized to score the calcification in both lower limb arteries.Participants were categorized into three groups based on their estimated glomerular filtration rate(eGFR)(normal group:eGFR≥90 mL/min;mild renal dysfunction group:eGFR 60-89 mL/min,and moderate to severe renal dysfunction group:eGFR＜60 mL/min).The demographic data,clinical symptoms,and comorbidities among the three groups were compared by analysis of variance(ANOVA).The Spearman correlation coefficient was employed to evaluate the relationship between eGFR,cystatin C,and PACSS score.Results The age(P＜0.001)and PACSS score(P＜0.05)of patients with renal dysfunction were significantly higher than those of patients with normal renal function.However,there were no significant differences in gender,prevalence of diabetes,hypertension,or severe limb ischemia.Spearman correlation analysis showed that eGFR was negatively correlated with PACSS score(r=-0.18 in the right lower limb,P=0.037,r=-0.24 in the left lower limb,P=0.006).In contrast,cystatin C was positively correlated with PACSS score(r=0.26 in the right lower limb,P＜0.001,r=0.22 in the left lower limb,P=0.002).Conclusion The PACSS score of lower limb artery in PAD patients is corre-lated with the severity of renal dysfunction.This finding may facilitate early warning and clinical intervention for PAD patients with renal dysfunction.

Objective To explore the diagnostic performance of prostate imaging reporting and data system(PI-RADS)V2.1 score combined with prostate specific antigen(PSA)-related parameters in transition zone prostate cancer(PCa)in patients with PSA levels of 4-20 ng/mL.Methods The clinical data of 129 patients who underwent prostate biopsy were retrospectively analyzed,including age,total prostate specific antigen(tPSA),free prostate specific antigen(fPSA),f/t PSA,prostate volume(PV),and prostate specific antigen density(PSAD).Among 129 patients,52 were diagnosed with transition zone PCa and 77 with benign prostate hyperplasia.The MRI images of all patients were scored according to the PI-RADS V2.1 criteria.The clinical and imaging parameters between transition zone PCa and benign prostate hyperplasia were compared using univariate logistic regression analysis.Independent predic-tors were identified via multivariate logistic regression,and a combined predictive model was constructed.Diagnostic performance of the model was evaluated using the receiver operating characteristic(ROC)curves.Results Univariate logistic regression analysis showed that the transition zone PCa exhibited significantly higher PI-RADS V2.1 score,tPSA,and PSAD than the benign prostate hyperplasia(P＜0.05).Multivariate logistic regression analysis identified PI-RADS V2.1 score and PSAD were independent predictors for predicting transition zone PCa(P＜0.05).Optimal diagnostic thresholds were PI-RADS V2.1 score＞3 points and PSAD＞0.23 ng/mL2.The combined prediction model achieved an area under the curve(AUC)of 0.863,outperforming PI-RADS V2.1 score(AUC=0.821)and PSAD(AUC=0.779)alone(P＜0.05).Conclusion The combination of PI-RADS V2.1 score and PSAD has a high predictive value for transition zone PCa in patients with PSA levels of 4-20 ng/mL.Thresholds of PI-RADS V2.1 score＞3 points and PSAD＞0.23 ng/mLL2 significantly improve diagnostic accuracy.

Objective:To investigate the eosinophil-to-platelet ratio (EPR) in predicting the prognosis of patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD).Methods:Based on the prognosis within 3 months after discharge, 158 patients with AECOPD admitted to Wenzhou Hospital of Integrated Traditional Chinese and Western Medicine from February 2020 to February 2024 were divided into a good prognosis group and a poor prognosis group. General data, eosinophil count, platelet count, eosinophil-to-platelet ratio (EPR), procalcitonin (PCT) level, and neutrophil-to-lymphocyte ratio (NLR), were retrospectively collected from both groups. The factors influencing prognosis within 3 months after discharge were analyzed using a multivariate logistic regression model. The predictive value of these factors for poor prognosis was assessed through receiver operating characteristic curve analysis.Results:Among the 158 patients with AECOPD, 23 had a poor prognosis, 127 had a good prognosis, and 8 were lost to follow-up or died unexpectedly. The eosinophil count and EPR in the peripheral blood of patients with a poor prognosis were significantly lower than those in patients with a good prognosis ( t = 3.22, 4.11, both P < 0.05). The eosinophil count [ OR = 5.709, 95% CI: (2.653, 12.285)] and EPR [ OR = 19.747, 95% CI: (8.352, 46.686)] were independent risk factors for a poor prognosis in patients with AECOPD at 3 months after discharge (both P < 0.05). The results of the receiver operating characteristic curve analysis indicated that the area under the curve for eosinophil count and EPR in predicting a poor prognosis in patients with AECOPD at 3 months after discharge was 0.706 [95% CI: (0.596, 0.815)] and 0.730 [95% CI: (0.630, 0.829)], respectively. The cut-off values were 109.20 counts/μL for eosinophil count and 1.06 for EPR, with corresponding sensitivities and specificities of 43.48% and 88.19%, and 82.61% and 59.06%, respectively. Conclusions:EOS and EPR have good predictive value for the adverse prognosis of patients with AECOPD within 3 months after discharge, and EPR has better efficacy.

Virus-related lymphoma exhibits a dual nature as both a hematologic malignancy and a viral infectious disease， making it more resistant to treatment and associated with poorer prognosis. This paper analyzes the understanding and therapeutic advantages of traditional Chinese medicine （TCM） in virus-related lymphoma. It proposes a TCM-based approach centered around syndrome differentiation， using standardized measurements of the overall TCM condition， multi-omics research of hematologic tumors， and artificial intelligence technologies to identify the "pre-condition" of virus-related lymphoma. A risk warning model will be established to early identify high-risk populations with viral infections that may develop into malignant lymphoma， thereby establishing a risk warning system for virus-related lymphoma. At the same time， a TCM health management approach will be applied to manage and regulate virus-related lymphoma， interrupting its progression and forming a human-centered， comprehensive， continuous health service model. Based on this， a standardized， integrated clinical prevention and treatment decision-making model for virus-related lymphoma， recognized by both Chinese and western medicine， will be established to provide TCM solutions for primary prevention of major malignant tumors.