Objective To explore the effect of community pharmacy outpatient service on patients with type 2 diabetes mellitus. Methods A non-randomized controlled study was conducted, and type 2 diabetes patients managed in the community were divided into an intervention group of 112 cases and a control group of 110 cases. The control group received routine medication guidance during general practice outpatient visits, while the intervention group received comprehensive pharmacy outpatient service intervention based on routine medication guidance in general practice. Follow-up visits were conducted every 3 months. Repeated measurement analysis of variance and multivariate linear regression analysis were used to evaluate the intervention effect of the pharmacy outpatient service. Results Fasting blood glucose and glycosylated hemoglobin levels in the intervention group showed a decreasing trend with the increase of intervention time compared to pre-intervention time （P<0.01）, with increased duration of weekly exercise, decreased staple food intake, increased vegetable intake, and increased medication adherence score （P<0.01）. After adjusting for confounding factors through multivariate linear regression model, pharmacy outpatient intervention was found to be an independent protective factor for fasting blood glucose level （β=−0.891, P<0.01） and glycosylated hemoglobin level （β=−0.760, P<0.01） in the study subjects. Conclusion The community pharmacy outpatient service could enhance the self-management ability of patients with type 2 diabetes mellitus, and effectively improve patients’ fasting blood glucose and glycosylated hemoglobin.

Objective To explore the risk factors associated with the occurrence of dampness syndrome based on peripheral blood multiple laboratory indicators,construct predictive model and validate it.Methods A retrospective analysis was conducted on 180 patients who visited the Preventive Treatment Center of Guangdong Provincial Hospital of Chinese Medicine from May 2022 to December 2023.They were divided into two groups according to the diagnostic criteria:the damp syndrome of TCM group(n=118)and the balanced yin-yang constitution group(n=62),with the latter serving as the"non-syndrome"control group for dampness syndrome.Serum biochemical indicators were detected by electrochemiluminescence(ECL),immune cell subsets were analyzed through flow cytometer,and routine blood parameters were assessed using an automatic hematology analyzed.Logistic regression analysis was employed to screen risk factors and develop a predictive model.The Bootstrap method was used for data resampling to draw the receiver operating characteristic(ROC)curve,calibration curve,and clinical decision curve analysis(DCA)to evaluate the predictive value,consistency,and clinical efficacy of the model.Results Compared with the balanced yin-yang constitution group,the damp syndrome of TCM group showed increased levels of insulin(INS),non-high-density lipoprotein cholesterol(non HDL-C),red blood cells(RBC)and the proportion of CD4+T cells,the proportion of triglyceride(TG)>1.70 mmol/L,total cholesterol(TC)>5.20 mmol/L,low-density lipoprotein cholesterol(LDL-C)>3.37 mmol/L,and high-density lipoprotein cholesterol(HDL-C)≤1.15 mmol/L were also significantly higher,with statistical significance(U/t/χ2=-2.900～4 626,all P＜0.05).Logistic regression analysis showed that INS,TC>5.20 mmol/L,HDL-C≤1.15 mmol/L,and the proportion of CD4+T cells were independent risk factors for the occurrence of damp syndrome of TCM(all P＜0.05).Based on the screened risk factors,a forecasting model was established and a nomogram was plotted.The model had an area under the ROC curve area under curve(AUC)of 0.747(95%CI=0.672～0.822),a Brier score of 0.184 for the calibration curve,and demonstrated clinical net benefit at threshold probabilities ranging from 0.30 to 1.00.Conclusion The forecasting model constructed based on INS,TC>5.20 mmol/L,HDL-C≤1.15 mmol/L,and CD4+T cells ratio has a high predictive value for damp syndrome of TCM.

Objective To explore the risk factors associated with the occurrence of dampness syndrome based on peripheral blood multiple laboratory indicators,construct predictive model and validate it.Methods A retrospective analysis was conducted on 180 patients who visited the Preventive Treatment Center of Guangdong Provincial Hospital of Chinese Medicine from May 2022 to December 2023.They were divided into two groups according to the diagnostic criteria:the damp syndrome of TCM group(n=118)and the balanced yin-yang constitution group(n=62),with the latter serving as the"non-syndrome"control group for dampness syndrome.Serum biochemical indicators were detected by electrochemiluminescence(ECL),immune cell subsets were analyzed through flow cytometer,and routine blood parameters were assessed using an automatic hematology analyzed.Logistic regression analysis was employed to screen risk factors and develop a predictive model.The Bootstrap method was used for data resampling to draw the receiver operating characteristic(ROC)curve,calibration curve,and clinical decision curve analysis(DCA)to evaluate the predictive value,consistency,and clinical efficacy of the model.Results Compared with the balanced yin-yang constitution group,the damp syndrome of TCM group showed increased levels of insulin(INS),non-high-density lipoprotein cholesterol(non HDL-C),red blood cells(RBC)and the proportion of CD4+T cells,the proportion of triglyceride(TG)>1.70 mmol/L,total cholesterol(TC)>5.20 mmol/L,low-density lipoprotein cholesterol(LDL-C)>3.37 mmol/L,and high-density lipoprotein cholesterol(HDL-C)≤1.15 mmol/L were also significantly higher,with statistical significance(U/t/χ2=-2.900～4 626,all P＜0.05).Logistic regression analysis showed that INS,TC>5.20 mmol/L,HDL-C≤1.15 mmol/L,and the proportion of CD4+T cells were independent risk factors for the occurrence of damp syndrome of TCM(all P＜0.05).Based on the screened risk factors,a forecasting model was established and a nomogram was plotted.The model had an area under the ROC curve area under curve(AUC)of 0.747(95%CI=0.672～0.822),a Brier score of 0.184 for the calibration curve,and demonstrated clinical net benefit at threshold probabilities ranging from 0.30 to 1.00.Conclusion The forecasting model constructed based on INS,TC>5.20 mmol/L,HDL-C≤1.15 mmol/L,and CD4+T cells ratio has a high predictive value for damp syndrome of TCM.

Objective To understand the changing distribution and antimicrobial resistance profiles of Klebsiella strains in 52 hospitals across China in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Antimicrobial susceptibility testing was carried out according to the unified CHINET protocol.The susceptibility results were interpreted according to the breakpoints in the Clinical & Laboratory Standards Institute(CLSI)M100 document.Results A total of 241,549 nonduplicate Klebsiella strains were isolated from 2015 to 2021,including Klebsiella pneumoniae(88.0％),Klebsiella aerogenes(5.8％),Klebsiella oxytoca(5.7％),and other Klebsiella species(0.6％).Klebsiella strains were mainly isolated from respiratory tract(48.49±5.32)％.Internal medicine(22.79±3.28)％,surgery(17.98±3.10)％,and ICU(14.03±1.39)％were the top 3 departments where Klebsiella strains were most frequently isolated.K.pneumoniae isolates showed higher resistance rate to most antimicrobial agents compared to other Klebsiella species.Klebsiella isolates maintained low resistance rates to tigecycline and polymyxin B.ESBLs-producing K.pneumoniae and K.oxytoca strains showed higher resistance rates to all the antimicrobial agents tested compared to the corresponding ESBLs-nonproducing strains.The K.pneumoniae and carbapenem-resistant K.pneumoniae(CRKP)strains isolated from ICU patients demonstrated higher resistance rates to majority of the antimicrobial agents tested than the strains isolated from non-ICU patients.The CRKP strains isolated from adult patients had higher resistance rates to most of the antimicrobial agents tested than the corresponding CRKP strains isolated from paediatric patients.Conclusions The prevalence of carbapenem-resistant strains in Klebsiella isolates increased greatly from 2015 to 2021.However,the Klebsiella isolates remained highly susceptible to tigecycline and polymyxin B.Antimicrobial resistance surveillance should still be strengthened for Klebsiella strains.

Objective:To compare the quality of sleep and rehabilitation after routine surgery versus day surgery in pediatric patients with snoring.Methods:This was a prospective study.Seventy pediatric patients with snoring, aged 4-6 yr, of American Society of Anesthesiologists Physical Status classification Ⅰ or Ⅱ, undergoing adenoidectomy and/or tonsillectomy in the Guangzhou Women and Children′s Medical Center from March to June 2023, were divided into routine surgery group (group R) and day surgery group (group D), with 35 cases in each group. A sleep-detecting bracelet was used to monitor the sleep status. The proportion of deep sleep, light sleep and rapid eye movement, sleep continuity score and the maximum and minimum heart rate were recorded on the night before surgery, the first and second night after surgery. Rehabilitation was assessed using Quality of Recovery-15 at 1 day before surgery and 24 and 48 h and 28 days after surgery.Results:Compared with group R, the maximum heart rate at the night before surgery was significantly decreased, the proportion of light sleep on the second night after surgery was increased, the proportion of rapid eye movement sleep on the second night after surgery was decreased, the scores for items on " getting support from hospital doctors and nurses", " feeling comfortable and in control", and " having a feeling of general well-being" and the total score of Quality of Recovery-15 were significantly decreased at 24 and 48 h after operation, and the score for items on " feeling rested" and " have had a good sleep" at 48 h after surgery was decreased in group D ( P<0.05). Conclusions:Pediatric patients with snoring have poor quality of early sleep and rehabilitation after day surgery compared with routine surgery.

OBJECTIVE: To investigate the correlation between early-stage blood pressure indexes and prognosis in sepsis patients. METHODS: A retrospective cohort study was conducted on the medical records of patients diagnosed with sepsis from 2001 to 2012 in the Medical Information Mart for Intensive Care-III (MIMIC-III) database. Patients were divided into survival group and death group according to the 28-day prognosis. General data of patients and heart rate (HR) and blood pressure at admission to ICU and within 24 hours after admission were collected. The blood pressure indexes including the maximum, median and mean value of systolic index, diastolic index and mean arterial pressure (MAP) index were calculated. The data were randomly divided into training set and validation set (4 : 1). Univariate Logistic regression analysis was used to screen covariates, and multivariate Logistic stepwise regression models were further developed. Model 1 (including HR, blood pressure, and blood pressure index related variables with P < 0.1 and other variables with P < 0.05) and Model 2 (including HR, blood pressure, and blood pressure index related variables with P < 0.1) were developed respectively. The receiver operator characteristic curve (ROC curve), precision recall curve (PRC) and decision curve analysis (DCA) curve were used to evaluate the quality of the two models, and the influencing factors of the prognosis of sepsis patients were analyzed. Finally, nomogram model was developed according to the better model and effectiveness of it was evaluated. RESULTS: A total of 11 559 sepsis patients were included in the study, with 10 012 patients in the survival group and 1 547 patients in the death group. There were significant differences in age, survival time, Elixhauser comorbidity score and other 46 variables between the two groups (all P < 0.05). Thirty-seven variables were preliminarily screened by univariate Logistic regression analysis. After multivariate Logistic stepwise regression model screening, among the indicators related to HR, blood pressure and blood pressure index, the HR at admission to ICU [odds ratio (OR) = 0.992, 95% confidence interval (95%CI) was 0.988-0.997] and the maximum HR (OR = 1.006, 95%CI was 1.001-1.011), maximum MAP index (OR = 1.620, 95%CI was 1.244-2.126), mean diastolic index (OR = 0.283, 95%CI was 0.091-0.856), median systolic index (OR = 2.149, 95%CI was 0.805-4.461), median diastolic index (OR = 3.986, 95%CI was 1.376-11.758) were selected (all P < 0.1). There were 14 other variables with P < 0.05, including age, Elixhauser comorbidity score, continuous renal replacement therapy (CRRT), use of ventilator, sedation and analgesia, norepinephrine, norepinephrine, highest serum creatinine (SCr), maximum blood urea nitrogen (BUN), highest prothrombin time (PT), highest activated partial thromboplastin time (APTT), lowest platelet count (PLT), highest white blood cell count (WBC), minimum hemoglobin (Hb). The ROC curve showed that the area under the curve (AUC) of Model 1 and Model 2 were 0.769 and 0.637, respectively, indicating that model 1 had higher prediction accuracy. The PRC curve showed that the AUC of Model 1 and Model 2 were 0.381 and 0.240, respectively, indicating that Model 1 had a better effect. The DCA curve showed that when the threshold was 0-0.8 (the probability of death was 0-80%), the net benefit rate of Model 1 was higher than that of Model 2. The calibration curve showed that the prediction effect of the nomogram model developed according to Model 1 was in good agreement with the actual outcome. The Bootstrap verification results showed that the nomogram model was consistent with the above results and had good prediction effects. CONCLUSIONS The nomogram model constructed has good prediction effects on the 28-day prognosis in sepsis patients, and the blood pressure indexes are important predictors in the model.
Humans ; Cohort Studies ; Retrospective Studies ; Blood Pressure ; Intensive Care Units ; ROC Curve ; Sepsis/diagnosis* ; Prognosis ; Critical Care ; Norepinephrine

Dalbergiae Odoriferae Lignum has the effects of removing stasis, stanching bleeding, regulating Qi and relieving pain, and has a good therapeutic effect on coronary heart disease, angina pectoris, myocardial infarction and other cardiovascular diseases. Through the previous literature research, our group found that there were differences in the original plants of Dalbergiae Odoriferae Lignum described in ancient works on materia medica, and the corresponding efficacy was also significantly different. Therefore, this paper made an in-depth study and summarized various botanical sources of Dalbergiae Odoriferae Lignum involved in literature. The results showed that Dalbergiae Odoriferae Lignum had been divided into imported varieties(Fanjiang) and domestic varieties(Guangjiang or Tujiang). Among them, the former original plants mainly concerned with Dalbergia parviflora Roxb. and Dalbergia sissoo Roxb., while the latter concerned with Acronychia pedunculata (L.) Miq., Dalbergia benthamii Prain, Dalbergia pinnata (Lour.) Prain, Dalbergia hancei Benth., Dalbergia tsoi Merr. et Chun and Dalbergia odorifera T. Chen. The above research results help to enrich the understanding of Dalbergiae Odoriferae Lignum and have positive practical significance for the protection and rational utilization of its original plant resources.

Objective:To investigate the clinical characters and prognostic value of PSA flare and bone flare in metastatic castration resistant prostate cancer(mCRPC) patients received Abiterone acetate(AA) therapy.Methods:A retrospective study was conducted for 93 mCRPC patients treated with AA from Jul.2016 to Dec.2020. Mean age was (75.4±8.9)years, median PSA was 58.2 (16.4, 148.6)ng/ml. Patients received at least 6 months of AA treatment. PSA flare was defined as an increase of PSA after AA therapy followed by a decrease. Bone flare was defined as disease progression after 3 months of therapy, typically based on increased lesion intensity or number, and reevaluation 6-9 months later showed improvement in the scan. The clinical characters and prognostic value of the flare phenomenon was evaluated and analyzed respectively.Results:The median follow up time was 16 months(6, 54 months), fourteen patients showed PSA flare at first month after AA treatment, and median time of duration was 2 months(1, 7 months). The serum alkaline phosphatase (ALP) had a similar rising trend along with PSA flare[115.5(98.0, 198.5)U/L vs. 119.0(97.0, 288.8)U/L, P=0.016]. Seven patients showed bone flare and 3 cases co-existed with PSA flare. Multivariate Cox regression analysis indicated bone flare was an independent protective factor for progression free survival(PFS)( HR=0.117, 95% CI 0.015-0.895, P=0.039), PSA flare had no significant influence on PFS ( HR=1.314, 95% CI 0.554-3.121, P=0.536)and overall survival(OS)( HR=1.348, 95% CI 0.393-4.263, P=0.635). Log-rank test showed patients with bone flare had a longer PFS( P=0.016) and OS( P=0.047) compared with patients without bone flare. Conclusions:PSA flare always faded away after 2 months AA therapy and had no influence on PFS and OS. Bone flare maybe an indication for better prognosis.

SIRT6 belongs to the conserved NAD⁺-dependent deacetylase superfamily and mediates multiple biological and pathological processes. Targeting SIRT6 by allosteric modulators represents a novel direction for therapeutics, which can overcome the selectivity problem caused by the structural similarity of orthosteric sites among deacetylases. Here, developing a reversed allosteric strategy AlloReverse, we identified a cryptic allosteric site, Pocket Z, which was only induced by the bi-directional allosteric signal triggered upon orthosteric binding of NAD⁺. Based on Pocket Z, we discovered an SIRT6 allosteric inhibitor named JYQ-42. JYQ-42 selectively targets SIRT6 among other histone deacetylases and effectively inhibits SIRT6 deacetylation, with an IC₅₀ of 2.33 μmol/L. JYQ-42 significantly suppresses SIRT6-mediated cancer cell migration and pro-inflammatory cytokine production. JYQ-42, to our knowledge, is the most potent and selective allosteric SIRT6 inhibitor. This study provides a novel strategy for allosteric drug design and will help in the challenging development of therapeutic agents that can selectively bind SIRT6.

OBJECTIVETo investigate the changes in serum protease and cytokine in patients with silicosis, tuberculosis, and lung cancer.

METHODSSerum samples of patients with silicosis, tuberculosis, and lung cancer were collected. The variation trends of the expression of granzyme A, cathepsin G, apolipoprotein A, and interferon-β (IFN-β) were analyzed using enzyme-linked immunosorbent assay.

RESULTSThe concentration of apolipoprotein A of the silicosis group was 200 µg/ml, significantly higher than those of the tuberculosis and lung cancer groups (P < 0.05), and the lung cancer group had a significantly higher concentration of apolipoprotein A compared with the tuberculosis group (P < 0.05). The silicosis group had significantly higher expression of cathepsin G compared with the tuberculosis and lung cancer groups (P < 0.05), and the tuberculosis group and lung cancer group showed no significant difference in the concentration of cathepsin G (P > 0.05). The tuberculosis group had a significantly higher concentration of granzyme A than the silicosis and lung cancer groups (P < 0.05), and the silicosis group and lung cancer group had similar protein concentration trends (P > 0.05). The tuberculosis group and lung cancer group had significantly higher concentration of IFN-β compared with the silicosis group (P < 0.05), and the tuberculosis group and lung cancer group showed no significant difference in IFN-β concentration (P > 0.05).

CONCLUSIONThis study may offer diagnostic markers for the clinical diagnosis of silicosis, tuberculosis, and lung cancer, and could provide a basis for the research, as well as potential molecular targets for the diagnosis and treatment of these diseases.

Biomarkers ; Cathepsin G ; metabolism ; Cytokines ; blood ; Endopeptidases ; blood ; Enzyme-Linked Immunosorbent Assay ; Granzymes ; metabolism ; Humans ; Interferon-beta ; metabolism ; Lung Neoplasms ; enzymology ; Silicosis ; enzymology ; Tuberculosis ; enzymology