Objective To analyze the disease burden of chronic kidney diseases (CKD) attributed to high body mass index (BMI) in China from 1992 to 2021 and predict the disease burden for the next decade, and to provide evidence for the prevention and treatment of CKD. Methods Using the Global Burden of Disease (GBD) database and the Joinpoint model, the average annual percentage rate change (AAPC) of the mortality rate and disability-adjusted life year (DALY) rate was calculated to describe and analyze the CKD disease burden attributed to high BMI in China from 1992 to 2021. The ARIMA model was employed to predict and analyze the change trend of the CKD disease burden. Results From 1992 to 2021, the mortality rate and DALY rate attributed to high BMI-induced chronic kidney disease showed an upward trend. Compared to 1992, the attributed number of deaths increased by 324.38%, and DALYs increased by 268.56%; the mortality rate increased by 64.00%, and the DALY rate grew by 51.62%. From 1992 to 2021, the mortality rate and DALY rate for males were lower than those for females, but the growth rate for males exceeded that of females. From 1992 to 2021, the mortality rate and DALY rate of chronic kidney disease attributed to high BMI in China increased with age. The average annual change rate of chronic kidney disease attributed to high BMI in China from 1992 to 2021 (mortality rate: 1.40 per 100,000 (95% CI: 1.04–1.76), DALY rate: 1.43 per 100 000 (95% CI: 1.17–1.70)) was higher than thHuaiyin Normal University, Huai'anher social demographic index (SDI) regions. The ARIMA model predicted that the age-standardized mortality rate increased from 2.91 per 100 000 in 2022 to 3.05 per 100 000 in 2026, and the age-standardized DALY rate increased from 69.65 per 100 000 in 2022 to 73.58 per 100 000 in 2026. Conclusion Chronic kidney disease attributed to high BMI in China is on the rise, and it will continue to grow in the future. The focus of CKD prevention and control should be on males and the elderly, while active measures should be taken to reduce the occurrence and progression of chronic kidney disease.

ObjectiveTo investigate the impact of anticentromere antibody （ACA） on the clinical features and prognosis of patients with primary biliary cholangitis （PBC） by comparing clinical classification， ursodeoxycholic acid （UDCA） response， GLOBE score， and UK-PBC score between ACA-positive PBC patients and ACA-negative PBC patients. MethodsA total of 749 patients who were admitted to Beijing Ditan Hospital， Capital Medical University， from August 2013 to December 2022 and were diagnosed with PBC were enrolled and divided into ACA-positive group with 147 patients and ACA-negative group with 602 patients. According to their conditions on admission， the two groups were compared in terms of the distribution of clinical types， i.e.， chronic progression-type PBC， portal hypertension-type PBC， and standard jaundice/liver failure-type PBC. There were 261 patients with complete data after 1-year follow-up， among whom there were 53 patients with positive ACA and 208 with negative ACA. A statistical analysis was performed， and propensity score matching was performed based on sex and age at a ratio of 1∶2. The two groups were compared in terms of 1-year UDCA response rate， GLOBE score， and UK-PBC score before and after matching. The independent-samples t test or the Mann-Whitney U test was used for comparison of continuous data between two groups， and the chi-square test was used for comparison of categorical data between two groups. ResultsCompared with the ACA-negative group， the ACA-positive group had a significantly higher age （61.28±10.35 years vs 56.74±12.17 years， t=4.164， P<0.001）， a significantly higher proportion of female patients （93.9% vs 77.6%， χ²=20.221， P<0.001）， a significantly higher proportion of patients with portal hypertension （48.3% vs 27.6%， χ²=23.289， P<0.001）， and a significantly lower proportion of patients with jaundice/liver failure （24.5% vs 38.5%， χ²=10.205， P<0.001）. After 1-year follow-up， for the 261 PBC patients with complete data， there was no significant difference in UDCA response rate before propensity score matching between the ACA-positive group and the ACA-negative group （41.5% vs 41.8%， P>0.05）， and there was a significant difference in the proportion of patients with a GLOBE score of >0.3 between the ACA-positive group and the ACA-negative group （92.5% vs 80.3%， χ²=3.935， P=0.047）. There were 53 patients in the ACA-positive group and 106 patients in the ACA-negative group after propensity score matching， and there were no significant differences between the two groups in UDCA response rate， GLOBE score， and UK-PBC score （all P>0.05）. ConclusionACA-positive patients tend to have an older age， with a higher proportion of female patients or patients with portal hypertension， while there is a relatively low proportion of patients with jaundice/liver failure. Positive ACA has no significant impact on UDCA response rate， GLOBE score， and UK-PBC score.

Radiation enteritis(RE)is an inflammatory reaction caused by radiation exposure,commonly observed following radiotherapy for malignancies in the abdominal,pelvic and retroperitoneal regions.The authors believe that the pathogenesis of RE is complex,involving factors such as deficiency and excess,cold and heat,as well as qi and blood.The general pathogenesis can be summarized as"instability of the Zhongzhou,depletion of essence and blood,dysregulation of ascending and descending,and accumulation of heat-toxins".And"the instability of the Zhongzhou and subsequent malnutrition of the intestines"are the key drivers of disease progression.Based on theoretical exploration and clinical observations,this article proposed a comprehensive diagnostic and therapeutic approach centered on"stabilizing the Zhongzhou,replenishing essence and blood,regulating ascending and descending functions,and clearing heat-toxins".These four methods are often applied simultaneously,with"stabilizing the Zhongzhou and regulating the intestines"serving as the core of treatment.The approach is tailored according to the individual patient's condition of blood,qi and body fluids.A medical case was attached as evidence for verification.

Objective To investigate the impact of anticentromere antibody(ACA)on the clinical features and prognosis of patients with primary biliary cholangitis(PBC)by comparing clinical classification,ursodeoxycholic acid(UDCA)response,GLOBE score,and UK-PBC score between ACA-positive PBC patients and ACA-negative PBC patients.Methods A total of 749 patients who were admitted to Beijing Ditan Hospital,Capital Medical University,from August 2013 to December 2022 and were diagnosed with PBC were enrolled and divided into ACA-positive group with 147 patients and ACA-negative group with 602 patients.According to their conditions on admission,the two groups were compared in terms of the distribution of clinical types,i.e.,chronic progression-type PBC,portal hypertension-type PBC,and standard jaundice/liver failure-type PBC.There were 261 patients with complete data after 1-year follow-up,among whom there were 53 patients with positive ACA and 208 with negative ACA.A statistical analysis was performed,and propensity score matching was performed based on sex and age at a ratio of 1∶2.The two groups were compared in terms of 1-year UDCA response rate,GLOBE score,and UK-PBC score before and after matching.The independent-samples t test or the Mann-Whitney U test was used for comparison of continuous data between two groups,and the chi-square test was used for comparison of categorical data between two groups.Results Compared with the ACA-negative group,the ACA-positive group had a significantly higher age(61.28±10.35 years vs 56.74±12.17 years,t=4.164,P<0.001),a significantly higher proportion of female patients(93.9%vs 77.6%,χ2=20.221,P<0.001),a significantly higher proportion of patients with portal hypertension(48.3%vs 27.6%,χ2=23.289,P<0.001),and a significantly lower proportion of patients with jaundice/liver failure(24.5%vs 38.5%,χ2=10.205,P<0.001).After 1-year follow-up,for the 261 PBC patients with complete data,there was no significant difference in UDCA response rate before propensity score matching between the ACA-positive group and the ACA-negative group(41.5%vs 41.8%,P>0.05),and there was a significant difference in the proportion of patients with a GLOBE score of>0.3 between the ACA-positive group and the ACA-negative group(92.5%vs 80.3%,χ2=3.935,P=0.047).There were 53 patients in the ACA-positive group and 106 patients in the ACA-negative group after propensity score matching,and there were no significant differences between the two groups in UDCA response rate,GLOBE score,and UK-PBC score(all P>0.05).Conclusion ACA-positive patients tend to have an older age,with a higher proportion of female patients or patients with portal hypertension,while there is a relatively low proportion of patients with jaundice/liver failure.Positive ACA has no significant impact on UDCA response rate,GLOBE score,and UK-PBC score.

Opioid-induced constipation(OIC)is a typical complication in the treatment of cancer pain.Based on the origin of"removing the excess with lightness"and the principle of"removing the excess with lightness",this article proposed that qi blockade and heat toxicity are the core pathogenesis of OIC.It explored the effectiveness of the"removing the excess with lightness"method in treating OIC,seeking the unique characteristics of TCM inherent in the theory,aiming to offer new insights and approaches for the clinical treatment of this disease.

To analyze the epidemiological characteristics and spatiotemporal distribution of pertussis in Tianjin City from 2010 to 2024. Data on pertussis cases reported in Tianjin between January 1, 2010, and December 31, 2024, were extracted from the Infectious Disease Surveillance and Reporting Information System of the China Information System for Disease Control and Prevention. Descriptive epidemiological methods and Joinpoint regression were used to analyze the temporal distribution and incidence trends of pertussis. Spatial autocorrelation analysis and spatial-temporal scanning were employed to characterize the spatial distribution and clustering patterns. The incidence rate of pertussis in Tianjin exhibited an overall upward trend from 2010 to 2024 (AAPC=17.04%, P<0.001), peaking at 11.70 per 100 000 population in 2023. Prior to 2020, the incidence peaked in July and August, whereas from 2023 to 2024, high incidence periods shifted to autumn and winter. The highest average annual incidence rate occurred in the <1-year-old group (165.06 per 100 000), followed by the 5-9-year-old group (20.14 per 100 000). The groups under 1 year old and 1-4 years old showed a trend of first increasing, then decreasing, and subsequently increasing again, with 2018 and 2021 as turning points ( P<0.05). Global spatial autocorrelation analysis revealed significant spatial clustering of pertussis cases in Tianjin districts in 2017 ( Moran′s I=0.19) and 2023 ( Moran′s I=0.51), with both P<0.05. The spatial-temporal scan analysis identified nine high-incidence clusters, with the primary cluster occurring in 2023, covering Jinnan, Dongli, and Hexi districts ( RR=7.37, LLR=568.21, P<0.001). In summary, the incidence of pertussis in Tianjin City has shown an upward trend from 2010 to 2024. The epidemiological characteristics have significantly changed around 2020, with pronounced seasonal and spatial clustering patterns observed in the past two years.

Opioid-induced constipation(OIC)is a typical complication in the treatment of cancer pain.Based on the origin of"removing the excess with lightness"and the principle of"removing the excess with lightness",this article proposed that qi blockade and heat toxicity are the core pathogenesis of OIC.It explored the effectiveness of the"removing the excess with lightness"method in treating OIC,seeking the unique characteristics of TCM inherent in the theory,aiming to offer new insights and approaches for the clinical treatment of this disease.

Objective To construct a nomogram prediction model for predicting hemoglobin A1c(HbA1c)failure in type 2 diabetes mellitus(T2DM)patients.Methods A total of 936 inpatients with T2DM admitted to the Department of Endocrinology of the Affiliated Hospital of Shandong Second Medical University from January 2021 to January 2022 were selected as the research objects and divided into the non-standard group(HbA1c≥7%,n=801)and the standard group(HbA1c<7%,n=135).Univariate analysis was used to screen the related factors of HbA1c failure.Logistic regression multivariate model was used to analyze the influencing factors of HbA1c failure in T2DM patients.The R language was used to construct a nomogram,and the area under the receiver operating characteristic(ROC)curve(AUC)was used to evaluate the predictive ability of the model.The C-index and Hosmer-Lemeshow test were used to evaluate the discrimination and calibration of the model.Results There were statistically significant differences in triglyceride(TG),low-density lipoprotein cholesterol,direct bilirubin,urinary albumin/creatinine ratio(UACR),self-monitoring of blood glucose(SMBG),meat and vegetable pairing,hot pot,whole grain and animal viscera consumption between the two groups(P<0.05).Logistic regression analysis showed that TG(OR 1.699,95%CI 1.298～2.222),UACR(OR 1.003,95%CI 1.001～1.005),SMGB(OR 0.480,95%CI 0.313～0.735),more meat and less vegetables(OR 1.432,95%CI 1.062～1.931)were the influencing factors of HbA1c failure.The AUC of the nomogram prediction model based on the influencing factors was 0.711,with C-index 0.710(95%CI 0.663～0.758)and good calibration(χ2=11.185,P=0.191).Conclusions The nomogram prediction model for HbA1c failure in T2DM patients established based on TG,UACR,SMGB,meat and vegetarian mix has good discrimination and calibration,which can provide certain reference value for warning of poor blood glucose control.

Radiation enteritis(RE)is an inflammatory reaction caused by radiation exposure,commonly observed following radiotherapy for malignancies in the abdominal,pelvic and retroperitoneal regions.The authors believe that the pathogenesis of RE is complex,involving factors such as deficiency and excess,cold and heat,as well as qi and blood.The general pathogenesis can be summarized as"instability of the Zhongzhou,depletion of essence and blood,dysregulation of ascending and descending,and accumulation of heat-toxins".And"the instability of the Zhongzhou and subsequent malnutrition of the intestines"are the key drivers of disease progression.Based on theoretical exploration and clinical observations,this article proposed a comprehensive diagnostic and therapeutic approach centered on"stabilizing the Zhongzhou,replenishing essence and blood,regulating ascending and descending functions,and clearing heat-toxins".These four methods are often applied simultaneously,with"stabilizing the Zhongzhou and regulating the intestines"serving as the core of treatment.The approach is tailored according to the individual patient's condition of blood,qi and body fluids.A medical case was attached as evidence for verification.

Objective To construct a nomogram prediction model for predicting hemoglobin A1c(HbA1c)failure in type 2 diabetes mellitus(T2DM)patients.Methods A total of 936 inpatients with T2DM admitted to the Department of Endocrinology of the Affiliated Hospital of Shandong Second Medical University from January 2021 to January 2022 were selected as the research objects and divided into the non-standard group(HbA1c≥7%,n=801)and the standard group(HbA1c<7%,n=135).Univariate analysis was used to screen the related factors of HbA1c failure.Logistic regression multivariate model was used to analyze the influencing factors of HbA1c failure in T2DM patients.The R language was used to construct a nomogram,and the area under the receiver operating characteristic(ROC)curve(AUC)was used to evaluate the predictive ability of the model.The C-index and Hosmer-Lemeshow test were used to evaluate the discrimination and calibration of the model.Results There were statistically significant differences in triglyceride(TG),low-density lipoprotein cholesterol,direct bilirubin,urinary albumin/creatinine ratio(UACR),self-monitoring of blood glucose(SMBG),meat and vegetable pairing,hot pot,whole grain and animal viscera consumption between the two groups(P<0.05).Logistic regression analysis showed that TG(OR 1.699,95%CI 1.298～2.222),UACR(OR 1.003,95%CI 1.001～1.005),SMGB(OR 0.480,95%CI 0.313～0.735),more meat and less vegetables(OR 1.432,95%CI 1.062～1.931)were the influencing factors of HbA1c failure.The AUC of the nomogram prediction model based on the influencing factors was 0.711,with C-index 0.710(95%CI 0.663～0.758)and good calibration(χ2=11.185,P=0.191).Conclusions The nomogram prediction model for HbA1c failure in T2DM patients established based on TG,UACR,SMGB,meat and vegetarian mix has good discrimination and calibration,which can provide certain reference value for warning of poor blood glucose control.