Objective To investigate the clinical efficacy of β-blockers in older patients with hypertension combined with vascular dementia.Methods A total of 152 older patients with hypertension combined with vascular dementia who were admitted to Shanxi Provincial Fenyang Hospital between January 2022 and October 2024 were enrolled.The participants were randomly assigned to either the study group or the control group(76 patients each)using the randomized numerical table method.Both groups received conventional treatment,and the study group received metoprolol for 5 weeks in addition to the conventional treatment.Primary outcome indicators,including changes in systolic blood pressure(SBP)and diastolic blood pressure(DBP)before and after treatment,were examined.Additionally,comparison was made to examine the intergroup difference in serological markers,including high-sensitivity C-reactive protein(hs-CRP),tumor necrosis factor-α(TNF-α),interleukin(IL)-6,IL-8,matrix metalloproteinase 9(MMP-9),homocysteine(Hcy),and superoxide dismutase(SOD)levels,and the scores for intelligence,cognitive,and behavioral assessments.Adverse reactions were recorded.Results After treatment,the study group showed reduced SBP from(146.90±7.35)mmHg(1 mmHg=0.133 kPa)to(120.00±6.03)mmHg and reduced DBP from(90.24±5.97)mmHg to(77.23±6.81)mmHg.The reduction in blood pressure in the study group became more significantly when compared with that of the control group,with intergroup difference in SBP reduction being-8.54 mmHg(P<0.001)and intergroup difference in DBP reduction being-10.80 mmHg(P<0.001).Patients in the 2 groups showed statistically significant differences in the levels of hs-CRP,TNF-α,IL-6,IL-8,MMP-9,and Hcy,and in their cognitive and behavioral scores(P<0.05).No statistically significant differences were found in pulse pressure,von Willebrand factor(vWF)levels,or intelligence scores before and after treatment(P>0.05).The main adverse reactions in the study group were central nervous system reactions(22.37%)and withdrawal syndrome(17.11%).Conclusion The β-blocker metoprolol effectively controlled blood pressure,significantly reduced levels of pro-inflammatory factors and specific vascular injury markers,and improved cognitive function and behavioral symptoms in older patients with hypertension combined with vascular dementia,suggesting its therapeutic efficacy for this condition.However,attention should be paid to its associated adverse reactions.

BACKGROUND: Studies on the impact of blood glucose indicators on metabolism remain relatively scarce. The aim of this study was to investigate the associations between blood glucose indicators and metabolic disorders in China. METHODS: Data were from the Thyroid disorders, Iodine status and Diabetes Epidemiological survey (TIDE survey), which randomly selected 31 cities from 31 provinces in the Chinese mainland. A total of 68,383 participants without preexisting diabetes and have complete data on blood glucose, lipids, and blood pressure were included in the analysis. The diabetic population was divided into seven groups based on different types of elevated blood glucose levels, including fasting plasma glucose (FPG), postprandial glucose (PPG), and hemoglobin A1c (HbA1c): FPG ≥7 mmol/L; PPG ≥11.1 mmol/L; HbA1c ≥6.5%; FPG ≥7 mmol/L and PPG ≥11.1 mmol/L; FPG ≥7 mmol/L and HbA1c ≥6.5%; PPG ≥11.1 mmol/L and HbA1c ≥6.5%; FPG ≥7 mmol/L, PPG ≥11.1 mmol/L, and HbA1c ≥6.5%. The effects of each blood glucose indicator on metabolism were investigated separately. Weighted calculation was applied during the analysis, with the weighting coefficient based on the number of people corresponding to the population characteristics of each sample in the 2010 Chinese Census. A logistic regression model with restricted cubic splines (RCS) was employed to characterize the nonlinear associations of age and body mass index (BMI) with the risk of diabetes subtypes defined by distinct blood glucose indicators elevations, as well as the relationships between different blood glucose indicators (FPG, PPG, HbA1c) and the risk of metabolic disorders such as hypertension, hypertriglyceridemia, hypercholesterolemia, high low-density lipoprotein cholesterol (high LDL-C) and low high-density lipoprotein cholesterol (low HDL-C). RESULTS: Among individuals with diabetes, elevated PPG alone was the most common abnormality, affecting 26.96% (1382/5127) of the population. Among the seven groups with only one elevated blood glucose indicator, individuals with elevated PPG alone exhibited the highest mean levels of triglycerides (TG) at 2.11 mmol/L (95% confidence interval [CI]: 1.97-2.25 mmol/L, P = 0.004), total cholesterol (TC) at 5.26 mmol/L (95% CI: 5.18-5.33 mmol/L, P <0.001), and low-density lipoprotein cholesterol (LDL-C) at 3.12 mmol/L, (95% CI: 3.06-3.19 mmol/L, P = 0.001). Individuals with elevated PPG alone showed a high prevalence of hypertension (806/1382, 58.32%), hypertriglyceridemia (676/1382, 48.91%), hypercholesterolemia (694/1382, 50.22%), High LDL-C (525/1382, 37.94%), and Low HDL-C (364/1382, 26.34%). The association of age and BMI with the risk of diabetes revealed that the older the patient, the steeper the RCS curve for the odds ratio (OR) of diabetes with elevated PPG alone (age = 60, OR = 2.79, 95% CI [2.49-3.12], P <0.01). Similarly, as BMI increased, the RCS curve for the OR of diabetes with elevated HbA1c alone also steepened (BMI = 35, OR = 3.75, 95% CI [3.23-4.35], P <0.001). Additionally, the RCS yielded a positive association between blood glucose indicators and metabolic diseases risk. In individuals with diabetes, RCS for both the ORs of metabolic diseases (hypertension, hypertriglyceridemia, hypercholesterolemia, high LDL-C, low HDL-C) and the levels of metabolic indicators (TG, TC, LDL-C, HDL-C) revealed some inflection points within the ranges of FPG 5-6 mmol/L, PPG 6-8 mmol/L, and HbA1c 5.5-6.0%. CONCLUSIONS PPG is more closely related to metabolic disorders than FPG and HbA1c in people with diabetes. For patients with diabetes and metabolic disorders, it may be necessary to monitor blood glucose fluctuations within specific ranges (FPG 5-6 mmol/L, PPG 6-8 mmol/L, and HbA1c 5.5-6.0%).
Humans ; Female ; Cross-Sectional Studies ; Male ; Blood Glucose/metabolism* ; Middle Aged ; Glycated Hemoglobin/metabolism* ; Adult ; Metabolic Diseases/epidemiology* ; Aged ; China ; Diabetes Mellitus/blood* ; East Asian People

Objective:To assess the attitudes toward and factors influencing starting insulin use among community-based patients with type 2 diabetes (T2D).Methods:A cross- sectional study. This secondary analysis used baseline data from patients with T2D recruited through convenience sampling from a community-based peer support intervention study implemented in nine community health service centers in Shanghai since 2017. Attitudes toward insulin use were assessed using the Chinese Attitudes to Starting Insulin Questionnaire (Ch-ASIQ); the higher the score, the more negative the attitude toward starting insulin use. Multiple linear regression was used to analyze the factors influencing attitudes toward starting insulin use.Results:A total of 336 patients with T2D were included in the survey. The patients had a mean age of (67.7±7.9) years, mean disease duration of (13.62±7.73) years, relatively low levels of depression [Patient Health Questionnaire 8 (PHQ-8): 2 (0, 5)] and diabetes distress [Diabetes Distress Scale 4 (DDS-4): 1.97±0.95], and suboptimal target achieving rates of risk factors including body mass index, blood pressure, blood glucose, and lipid levels. The total score on the Ch-ASIQ among all patients was 1.84±0.55. Multivariate analyses showed that refusing insulin use was positively significantly associated with higher scores on the Ch-ASIQ and the three sub-dimensions of "Factors promoting self-efficacy," "Fear of pain or needles," and "Time and family support" [ β (95% CI): 0.515 (0.355-0.674), 0.728 (0.470-0.986), 0.273 (0.030-0.515), 0.909 (0.606-1.213), all P<0.05]. In addition, disease duration [ β (95% CI):-0.011 (-0.019 to -0.004)] was independently negatively associated with the Ch-ASIQ score. In comparison, age [ β (95% CI): 0.011 (0.003-0.018)], DDS-4 [0.129 (0.069-0.190)], and PHQ-8 [0.015 (0.000-0.029)] were independently positively associated with the Ch-ASIQ score (all P<0.05). There were slight differences in the factors influencing the four sub-dimensions of the Ch-ASIQ scale. Conclusions:Community-based patients with T2D had moderate negative attitudes toward starting insulin treatment. Refusing insulin use, shorter diabetes duration, older age, higher diabetes distress, and higher levels of depression were associated with higher negative attitudes towards starting insulin use.

Objectives:To investigate the epidemiological characteristics and ethnic differences of cardiovascular-kidney-metabolic syndrome(CKM)among the Hani,Dai,Bai,and Lisu populations in Yunnan Province,and to provide evidence for developing effective prevention and control strategies for CKM.Methods:A cross-sectional survey was conducted among four ethnic minority groups.A total of 3 906 permanent residents aged 18 years and older were enrolled using a multistage cluster random sampling method.CKM stages(0-4)were defined based on the 2023 American Heart Association criteria,stages 3-4 were classified as advanced CKM.Descriptive statistics and chi-square tests were used to compare the prevalence of CKM stages across ethnic groups.Modified Poisson regression was applied to estimate relative risk(RR)and 95%confidence intervals(CI)for factors associated with advanced CKM.Results:The prevalence rates of CKM stage 1 and above among the Hani,Dai,Bai and Lisu ethnic groups were 80.1%,87.3%,84.8%and 67.8%,respectively.The prevalence of CKM was generally higher in males than in females,and the prevalence of CKM increased significantly with age.The Dai ethnic group had the highest prevalence of advanced CKM(24.7%,95%CI:22.1%-27.4%),while the Lisu ethnic group had the lowest prevalence of advanced CKM(13.7%,95%CI:11.5%-15.9%).Modified Poisson regression analysis showed that older age and higher body mass index were common risk factors for advanced CKM across all four ethnic groups.Additionally,except for the Lisu ethnic group,the other three ethnic groups had specific individual risk factors:among the Hani ethnic group,low educational attainment(RR=2.18,95%CI:1.12-4.25)and low income(RR=1.47,95%CI:1.00-2.18)were the primary risk factors of CKM.Among the Dai ethnic group,smoking(RR=1.60,95%CI:1.07-2.37)and a family history of cardiovascular disease(RR=1.61,95%CI:1.14-2.27)are the primary risk factors of CKM.Among the Bai ethnic group,male gender(RR=0.48,95%CI:0.29-0.79)was the primary risk factor of CKM.Conclusions:The prevalence of CKM stage 1 or higher is relatively high among the four minority ethnic groups in Yunnan province.There are significant differences in staging characteristics and primary risk factors across ethnic groups,necessitating the development of stratified,differentiated intervention strategies to achieve precise prevention and control and ethnic health equity in terms of CKM.

Objectives:To investigate the epidemiological characteristics and ethnic differences of cardiovascular-kidney-metabolic syndrome(CKM)among the Hani,Dai,Bai,and Lisu populations in Yunnan Province,and to provide evidence for developing effective prevention and control strategies for CKM.Methods:A cross-sectional survey was conducted among four ethnic minority groups.A total of 3 906 permanent residents aged 18 years and older were enrolled using a multistage cluster random sampling method.CKM stages(0-4)were defined based on the 2023 American Heart Association criteria,stages 3-4 were classified as advanced CKM.Descriptive statistics and chi-square tests were used to compare the prevalence of CKM stages across ethnic groups.Modified Poisson regression was applied to estimate relative risk(RR)and 95%confidence intervals(CI)for factors associated with advanced CKM.Results:The prevalence rates of CKM stage 1 and above among the Hani,Dai,Bai and Lisu ethnic groups were 80.1%,87.3%,84.8%and 67.8%,respectively.The prevalence of CKM was generally higher in males than in females,and the prevalence of CKM increased significantly with age.The Dai ethnic group had the highest prevalence of advanced CKM(24.7%,95%CI:22.1%-27.4%),while the Lisu ethnic group had the lowest prevalence of advanced CKM(13.7%,95%CI:11.5%-15.9%).Modified Poisson regression analysis showed that older age and higher body mass index were common risk factors for advanced CKM across all four ethnic groups.Additionally,except for the Lisu ethnic group,the other three ethnic groups had specific individual risk factors:among the Hani ethnic group,low educational attainment(RR=2.18,95%CI:1.12-4.25)and low income(RR=1.47,95%CI:1.00-2.18)were the primary risk factors of CKM.Among the Dai ethnic group,smoking(RR=1.60,95%CI:1.07-2.37)and a family history of cardiovascular disease(RR=1.61,95%CI:1.14-2.27)are the primary risk factors of CKM.Among the Bai ethnic group,male gender(RR=0.48,95%CI:0.29-0.79)was the primary risk factor of CKM.Conclusions:The prevalence of CKM stage 1 or higher is relatively high among the four minority ethnic groups in Yunnan province.There are significant differences in staging characteristics and primary risk factors across ethnic groups,necessitating the development of stratified,differentiated intervention strategies to achieve precise prevention and control and ethnic health equity in terms of CKM.

Objective:To assess the attitudes toward and factors influencing starting insulin use among community-based patients with type 2 diabetes (T2D).Methods:A cross- sectional study. This secondary analysis used baseline data from patients with T2D recruited through convenience sampling from a community-based peer support intervention study implemented in nine community health service centers in Shanghai since 2017. Attitudes toward insulin use were assessed using the Chinese Attitudes to Starting Insulin Questionnaire (Ch-ASIQ); the higher the score, the more negative the attitude toward starting insulin use. Multiple linear regression was used to analyze the factors influencing attitudes toward starting insulin use.Results:A total of 336 patients with T2D were included in the survey. The patients had a mean age of (67.7±7.9) years, mean disease duration of (13.62±7.73) years, relatively low levels of depression [Patient Health Questionnaire 8 (PHQ-8): 2 (0, 5)] and diabetes distress [Diabetes Distress Scale 4 (DDS-4): 1.97±0.95], and suboptimal target achieving rates of risk factors including body mass index, blood pressure, blood glucose, and lipid levels. The total score on the Ch-ASIQ among all patients was 1.84±0.55. Multivariate analyses showed that refusing insulin use was positively significantly associated with higher scores on the Ch-ASIQ and the three sub-dimensions of "Factors promoting self-efficacy," "Fear of pain or needles," and "Time and family support" [ β (95% CI): 0.515 (0.355-0.674), 0.728 (0.470-0.986), 0.273 (0.030-0.515), 0.909 (0.606-1.213), all P<0.05]. In addition, disease duration [ β (95% CI):-0.011 (-0.019 to -0.004)] was independently negatively associated with the Ch-ASIQ score. In comparison, age [ β (95% CI): 0.011 (0.003-0.018)], DDS-4 [0.129 (0.069-0.190)], and PHQ-8 [0.015 (0.000-0.029)] were independently positively associated with the Ch-ASIQ score (all P<0.05). There were slight differences in the factors influencing the four sub-dimensions of the Ch-ASIQ scale. Conclusions:Community-based patients with T2D had moderate negative attitudes toward starting insulin treatment. Refusing insulin use, shorter diabetes duration, older age, higher diabetes distress, and higher levels of depression were associated with higher negative attitudes towards starting insulin use.

Objective To explore the influencing factors of device-related pressure injuries (DRPI) in critically ill patients, construct a risk prediction model, and validate its effectiveness. Methods A retrospective analysis was conducted on the clinical data of 136 critically ill patients. Based on the occurrence of DRPIs, the patients were divided into occurrence group (32 patients) and non-occurrence group (104 patients). Univariate analysis and binary Logistic regression analysis were used to investigate the influencing factors of DRPIs, and a binary Logistic regression model was constructed. The Hosmer-Lemeshow test was used to assess the goodness of fit of the model, and the area (AUC) under the receiver operating characteristic (ROC) curve was used to evaluate the predictive performance of the model.Additionally, the Bootstrap method was employed for internal validation of the model. Results Univariate analysis revealed statistically significant differences between the two groups in terms of age, diabetes, ICU stay duration, duration of non-invasive ventilation mask use, Acute Physiology and Chronic Health Evaluation Ⅱ (APACHE Ⅱ) score, Braden scale score, use of vasoactive drugs, prone position ventilation, hemoglobin levels, and lactate levels (P < 0.05). Binary Logistic regression analysis indicated that age, diabetes, ICU stay duration, APACHE Ⅱ score, duration of non-invasive ventilation mask use, use of vasoactive drugs, prone position ventilation, lactate levels, Braden scale score, and hemoglobin levels were independent influencing factors for DRPIs in critically ill patients (P < 0.05). A binary Logistic regression model for predicting the risk of DRPIs in critically ill patients was constructed based on these independent factors. The overall prediction accuracy of the model was 99.26%. The Hosmer-Lemeshow goodness-of-fit test showed that the model had good fitness (χ² < 0.001, P>0.999). Internal validation using the Bootstrap method and ROC curve analysis showed that the AUC of the model for predicting DRPIs in critically ill patientswas 0.952, with a sensitivity of 87.5% and a specificity of 93.3%. Conclusion The risk prediction model for DRPIs in critically ill patients constructed in this study demonstrates good stability and predictive performance. It can assist clinical healthcare professionals in screening high-risk patients and formulating personalized intervention plans.

Objective:To evaluate the reliability and validity of the Chinese version of HEMO-FISS-QoL(HF-QoL) questionnaire (HF-QoL-C) in the Chinese population with hemorrhoids.Methods:From November 2021 to November 2022, a self-constructed general information questionnaire, HF-QoL-C, and the 36-item short form health survey (SF-36), Goligher classification, and Giordano severity of hemorrhoid symptom questionnaire (GSQ) were used to conduct a questionnaire survey on 760 hemorrhoid patients in the anorectal department of six hospitals. The data was analyzed for reliability and validity using SPSS 21.0 and AMOS 26.0 software.Results:The Cronbach's α coefficient of HF-QoL-C and its dimension ranged from 0.831 to 0.960, and the split coefficient was 0.832-0.915. Four common factors were extracted through principal component exploratory factor analysis. Confirmatory factor analysis indicated acceptable structural validity( χ2/ df=8.152, RSMEA=0.097, CFI=0.881, IFI=0.881, NFI=0.867). HF-QoL-C was correlated with SF36 and GSQ( r=-0.694, 0.501, both P<0.01). There were differences in the total score and dimensional scores of HF-QoL-C between surgical and drug treated patients, different grades of Goligher classification for hemorrhoidal disease, and different ranges of hemorrhoid prolapse (all P<0.001). No ceiling effect was found in the total score and the scores of each dimension(0.3%-2.0%). There was a floor effect in both psychological function and sexual activity dimensions (16.7%, 35.1%). Conclusion:HF-QoL-C has good reliability and validity, which can be used to measure the quality of life of Chinese hemorrhoid patients.

Objective To explore the effectiveness of high-definition diffusion weighted imaging(DWI)sequence combined with T1 WI-fat suppression(FS)dynamic contrast enhancement(DCE)sequence for preoperative T-stage of rectal cancer by using 3.0T MRI standardized scanning.Methods A retrospective analysis was conducted on MRI images of 57 patients with rectal cancer confirmed by pathology.Before surgery,the patients underwent 3.0T MRI standardized rectal cancer scan methods,including routine sequence,high-definition DWI sequence,and T1 WI-FS DCE sequence,etc.Then two experienced physicians evaluated the T-stage of preoperative rectal cancer through high-definition DWI(transverse and sagittal sections)and T1 WI-FS DCE sequences in the double-blind method.Using the postoperative pathological results of rectal cancer as the"gold standard",two sequences were combined to evaluate the accuracy,sensitivity,and specificity of rectal cancer T-stage.Results Among the 57 cases,there were 9 cases of upper rectal cancer,39 cases of middle rectal cancer,and 9 cases of lower rectal cancer.The accuracy rates of preoperative T-stage diagnosis for rectal cancer by two evaluator were both 85.7％(6/7)in T1 stage,88.2％(15/17)and 94.1％(16/17)in T2 stage,96.9％(31/32)and 93.8％(30/32)in T3 stage,and both 100.0％(1/1)in T4 stage.For evaluator 1,the sensitivity and specificity of the rectal cancer T-stage diagnosis were 96.1％and 83.3％,and for evaluator 2 were 94.1％and 83.3％,respectively.For rectal cancer MRI diagnosis,the accuracy rates and sensitivity were higher when combining the high-definition DWI sequence and T1 WI-FS DCE sequence,compared with a single high-definition DWI sequence or T1 WI-FS DCE sequence,and the difference was statistically significant.The average preoperative apparent diffusion coefficient(ADC)value of rectal cancer was compared between the corresponding postoperative pathological T1 to T4 stage groups,and the difference was statistically significant.Conclusion The combination of high-definition DWI sequence and T1 WI-FS DCE sequence improves the accuracy of rectal cancer T-stage,providing assistance for personalized clinical treatment.

Objective:To report the results of national surveillance on the distribution and antimicrobial resistance profile of clinical Gram-negative bacteria isolates from bloodstream infections in China in 2022.Methods:The clinical isolates of Gram-negative bacteria from blood cultures in member hospitals of national bloodstream infection Bacterial Resistant Investigation Collaborative System（BRICS）were collected during January 2022 to December 2022. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute（CLSI）. WHONET 5.6 and SPSS 25.0 software were used to analyze the data.Results:During the study period，9 035 strains of Gram-negative bacteria were collected from 51 hospitals，of which 7 895（87.4%）were Enterobacteriaceae and 1 140（12.6%）were non-fermenting bacteria. The top 5 bacterial species were Escherichia coli（ n=4 510，49.9%）， Klebsiella pneumoniae（ n=2 340，25.9%）， Pseudomonas aeruginosa（ n=534，5.9%）， Acinetobacter baumannii complex（ n=405，4.5%）and Enterobacter cloacae（ n=327，3.6%）. The ESBLs-producing rates in Escherichia coli， Klebsiella pneumoniae and Proteus spp. were 47.1%（2 095/4 452），21.0%（427/2 033）and 41.1%（58/141），respectively. The prevalence of carbapenem-resistant Escherichia coli（CREC）and carbapenem-resistant Klebsiella pneumoniae（CRKP）were 1.3%（58/4 510）and 13.1%（307/2 340）；62.1%（36/58）and 9.8%（30/307）of CREC and CRKP were resistant to ceftazidime/avibactam combination，respectively. The prevalence of carbapenem-resistant Acinetobacter baumannii（CRAB）complex was 59.5%（241/405），while less than 5% of Acinetobacter baumannii complex was resistant to tigecycline and polymyxin B. The prevalence of carbapenem-resistant Pseudomonas aeruginosa（CRPA）was 18.4%（98/534）. There were differences in the composition ratio of Gram-negative bacteria in bloodstream infections and the prevalence of main Gram-negative bacteria resistance among different regions，with statistically significant differences in the prevalence of CRKP and CRPA（ χ2=20.489 and 20.252， P<0.001）. The prevalence of CREC，CRKP，CRPA，CRAB，ESBLs-producing Escherichia coli and Klebsiella pneumoniae were higher in provinicial hospitals than those in municipal hospitals（ χ2=11.953，81.183，10.404，5.915，12.415 and 6.459， P<0.01 or <0.05），while the prevalence of CRPA was higher in economically developed regions（per capita GDP ≥ 92 059 Yuan）than that in economically less-developed regions（per capita GDP <92 059 Yuan）（ χ2=6.240， P=0.012）. Conclusions:The proportion of Gram-negative bacteria in bloodstream infections shows an increasing trend，and Escherichia coli is ranked in the top，while the trend of CRKP decreases continuously with time. Decreasing trends are noted in ESBLs-producing Escherichia coli and Klebsiella pneumoniae. Low prevalence of carbapenem resistance in Escherichia coli and high prevalence in CRAB complex have been observed. The composition ratio and antibacterial spectrum of bloodstream infections in different regions of China are slightly different，and the proportion of main drug resistant bacteria in provincial hospitals is higher than those in municipal hospitals.