Objective: To investigate the urban and rural differences in adverse outcomes of pulmonary tuberculosis (PTB) in patients with pulmonary tuberculosis-diabetes mellitus comorbidity (PTB-DM), so as to provide insights into improving the prevention and treatment measures for PTB-DM. Methods: Patients with PTB-DM who were admitted and discharged from 14 designated tuberculosis hospitals in Hangzhou City from 2018 to 2022 were selected. Basic information, and history of diagnosis and treatment were collected through hospital information systems. The adverse outcomes of PTB were defined as endpoints, and the proportions of adverse outcomes of PTB in urban and rural patients with PTB-DM were analyzed. Factors affecting the adverse outcomes of PTB were identified using a multivariable Cox proportional hazards regression model. Results: A total of 823 patients with PTB-DM were enrolled, including 354 (43.01%) urban and 469 (56.99%) rural patients. There were 112 (13.61%) patients with adverse outcomes of PTB. The proportions of adverse outcomes of PTB in urban and rural patients were 14.41% and 13.01%, respectively, with no statistically significant difference (P>0.05). Multivariable Cox proportional hazards regression analysis identified first diagnosed in county-level hospitals or above (HR=2.107, 95%CI: 1.181-3.758) and drug resistance (HR=3.303, 95%CI: 1.653-6.600) as the risk factors for adverse outcomes of PTB in urban patients with PTB-DM, while the treatment/observed management throughout the process (HR=0.470, 95%CI: 0.274-0.803) and fixed-dose combinations throughout the process (HR=0.331, 95%CI: 0.151-0.729) as the protective factors for adverse outcomes in rural patients with PTB-DM. Conclusions There are differences in influencing factors for adverse outcomes of PTB in urban and rural patients with PTB-DM. The adverse outcomes of PTB are associated with first diagnosed hospitals and drug resistance in urban patients, and are associated with the treatment/observed management and fixed-dose combinations throughout the process in rural patients.

Rheumatoid arthritis (RA), an autoimmune disease characterized by chronic inflammation of synovial tissue, is divided into two subtypes-anti-citrullinated protein antibody (ACPA)-positive and ACPA-negative RA. While the pathogenic mechanisms of ACPA-positive RA are well-understood, the etiology of ACPA-negative RA remains largely unknown. The association between RA and periodontitis (PD) has been observed since the early 1900s, with the two diseases sharing common genetic and environmental risk factors that lead to the progressive destruction of bone and connective tissue. However, the associations between PD and the two subtypes of RA differ. This comprehensive review aims to provide an updated understanding of the epidemiological association between RA and PD, explore potential pathogenic mechanisms linking the two diseases, and highlight the key distinctions between the subtypes of RA and their respective associations with PD. We also discuss the possibility of early intervention or the treatment of the two diseases. Ultimately, this review aims to provide valuable insights for future research in this field.
Humans ; Arthritis, Rheumatoid/complications* ; Periodontitis/complications* ; Anti-Citrullinated Protein Antibodies/immunology* ; Risk Factors

Objective To propose a distribution feature extraction algorithm based on wavelet packet coefficients to reconstruct the signal energy sequence for effectively identifying the pathological features of heart sounds,thereby realizing the early screening of heart diseases.Methods The original heart sound signal was decomposed into 10 layers using wavelet packet decomposition algorithm.After obtaining the wavelet packet coefficients of each layer,each coefficient was reconstructed,and the energy of the reconstructed signal was calculated and arranged in the original order to form the energy sequence.The distribution characteristics of the energy sequence of the reconstructed signals at each layer were analyzed,and distribution features were taken as classification features.Support vector machine,K-nearest neighbor,and decision tree were used to classify and recognize normal heart sounds and the heart sound signals of various diseases.Results The combination of the distribution features of the reconstructed signal energy sequence and decision tree classifier had an accuracy of 93.6%for classifying 5 types of heart sounds on the public dataset,and the accuracy was 95.6%for identifying normal heart sounds and hypertrophic cardiomyopathy heart sounds.Conclusion The proposed algorithm can extract the effective pathological information of abnormal heart sounds,providing a reference for clinical cardiac auscultation.

Background and objective Pembrolizumab(PEM)has been shown to be effective in clinical trials for the treatment of advanced non-small cell lung cancer(NSCLC),but clinical trials were based on cohorts of patients selected on specific criteria,and whether the findings are consistent with real-world patients is debatable.The aim of this study is to evaluate the efficacy and safety of PEM in the treatment of advanced NSCLC based on real-world data.Methods A retro-spective collection of real-world data from patients with advanced NSCLC receiving PEM was conducted.Propensity score matching was used to eliminate inter-group differences and assess the efficacy and safety of PEM compared to chemotherapy.Results Among 450 matched patients,the incidence rates of any-grade adverse events were 79.87％in the PEM group and86.71％inthe chemotherapy group,while the incidence rates of grade＞3 adverse events were 4.03％and 7.31％,respectively.The objective response rates were 48.63％for PEM and 36.00％for chemotherapy(P=0.011).The median progression-free survival was 15.5 months for PEM and 8.8 months for chemotherapy(P＜0.001),and the median overall survival was not reached for PEM and 26.2 months for chemotherapy(P＜0.001).Conclusion PEM treatment for advanced NSCLC demonstrates favorable survival outcomes and acceptable safety in real-world clinical practice.

Objective:To construct a simple, precise and personalized comprehensive nomogram for prediction the risk of multidrug-resistant tuberculosis (MDR-TB) and to evaluate its prediction value among individuals with previous tuberculosis history (PTBH).Methods:A matched case-control study (1∶2 ratios) was performed in 1 881 patients with PTBH treated in 12 designated tuberculosis hospitals in Hangzhou City between January 1, 2005 and December 31, 2019, and there were 1 719 patients in training set, and 162 in validation set. A multivariable Cox regression analysis was used to evaluate independent predictors for the incident of MDR-TB in individuals with PTBH. A comprehensive nomogram was developed based on the multivariable Cox model. The accuracy of the prediction was assessed using concordance index (C-index), calibration curve and area under the receiver operator characteristic (ROC) curve.Results:The nomogram constructed based on the multivariable Cox regression model incorporated 10 independent predictors of the risk of MDR-TB. A history of direct contact (grade 1, 0-100.0 points) ranked on the top of all risk factors, followed by duration of positive sputum culture (grade 2, 0-84.5 points), unfavorable treatment outcome (grade 3, 0-52.0 points), human immunodeficiency virus infection (grade 4, 0-48.5 points), retreated tuberculosis history (grade 5, 0-40.0 points), non-standardized treatment regimens of retreated tuberculosis (grade 6, 0-32.5 points), duration of pulmonary cavities (grade 7, 0-31.0 points), passive mode of tuberculosis case finding (grade 8, 0-25.0 points), age<60 years (grade 9, 0-17.5 points), and standard frequencies of chest X-ray examination (grade 10, 0-14.0 points). The C-indexes of this nomogram for the training and validation sets were 0.833 (95% confidence interval ( CI) 0.807-0.859) and 0.871 (95% CI 0.773-0.969), respectively, indicating that the nomogram had good fitting effect. The calibration curves for the risk of incident MDR-TB showed an optimal agreement between nomogram prediction and actual observation in the training and validation sets, respectively.The areas under ROC curve of the 1-year, 5-year, and 10-year MDR-TB risk probability of the training set were 0.904, 0.921, and 0.908, respectively, and those of the validation set were 0.954, 0.970, and 0.919, respectively. Conclusion:Through this nomogram model, clinicians could precisely predict the risk of incident MDR-TB among individuals with PTBH in the clinical practice.

Objective:To compare the detection rate of genital Chlamydia trachomatis (CT) DNA between urine and urethral/cervical swab samples. Methods:From December 2018 to December 2019, a total of 1 475 outpatients were collected from sexually transmitted disease clinics in 7 medical institutions, such as Department of Venereology, Guangzhou Institute of Dermatology, including 1 118 males and 357 females. One urethral/cervical swab sample and one urine sample were collected successively from each patient. Real-time fluorescence-based PCR was performed to detect CT DNA in urine and urethral/cervical swab samples, and paired chi-square test was used to compare the positive rate of CT DNA between the 2 kinds of samples. Random- or fixed-effect meta-analysis was conducted for the test of heterogeneity and merging of positive rates of CT DNA in the urine and urethral/cervical swabs among 7 medical institutions.Results:The positive rate of CT DNA in the urine samples was significantly higher than that in the swab samples from 4 medical institutions (all P < 0.05) , while there was no significant difference in the positive rate of CT DNA between the 2 kinds of samples from 3 medical institutions (all P > 0.05) . The heterogeneity ( I2) estimates of the CT-DNA positive rate in urine and swab samples among different medical institutions were 78.6% (95% CI: 55.9% - 89.6%) and 73.7% (95% CI: 43.7% - 87.7%) , respectively; meta-analysis showed that the total merged positive rate of CT DNA in the urine samples was 10.8% (95% CI: 7.2% - 15.9%) , which was significantly higher than that in the swab samples (7.8%, 95% CI: 4.9% - 12.1%; χ2 = 39.2, P < 0.05) . Compared with the swab sample-based CT-DNA detection method, the sensitivity, specificity, positive predictive value, negative predictive value and consistency rate of the urine sample-based CT-DNA detection method were 97.0% (128/132) , 96.3% (1 293/1 343) , 71.9% (128/178) , 99.7% (1 293/1 297) , and 96.3% (1 421/1 475) , respectively. The positive rate of CT DNA in the urine samples from 1 118 male patients was 11.0% (95% CI: 7.2% - 16.5%) , which was significantly higher than that in the swab samples (7.6%, 95% CI: 4.9% - 11.8%; χ2 = 34.3, P < 0.05) . There was no significant difference in the positive rate of CT DNA between the urine (11.9%, 95% CI: 7.7% - 17.9%) and cervical swab samples from 357 female patients (10.4%, 95% CI: 7.6% - 14.0%; χ2 = 3.2, P > 0.05) . Conclusions:The positive rate of CT DNA in urine samples is higher than or similar to that in urethral/cervical swab samples. The urine sample-based CT-DNA detection method has characteristics of convenience, non-invasiveness, painlessness and low cost, and is worthy of clinical promotion.

Objective:To screen appropriate techniques of cardiovascular diseases (CVD) prevention in primary care based on patient-centered model.Methods:The preliminary list of techniques used for CVD prevention in primary care was formed through literature study and focus group discussion. The evaluation index system of technical suitability was constructed by literature research and expert judgment. Delphi method was used to screen and evaluate the list of appropriate techniques.Results:Thirteen experts in fields of general practice and cardiovascular medicine were invited for consultation. The formed index system of appropriate techniques in primary care composed of five aspects: scientificity, effectiveness, applicability, economy and requirement, with the weight coefficients of 0.205, 0.202, 0.205, 0.196 and 0.192, respectively. Twenty-four experts in fields of general medicine, cardiovascular medicine, public health and mental health were selected for two rounds of Delphi expert consultation. The experts′ positive coefficients of the first round and second consultation were 91.67%(22/24) and 100.00%(22/22), respectively. The experts′ authoritative coefficient of two rounds was both 0.92 with the coefficient of variation all<0.3. A list of techniques was developed consisting of 25 appropriate techniques of CVD prevention in primary care. The comprehensive evaluation showed that the top three were techniques of history collection and physical examination, techniques of recognition and referral of acute patients and techniques of patient reception in general practice.Conclusion:Based on the patient-centered model, after screening and evaluation this study has developed a list of appropriate techniques for CVD prevention and management at primary care, which provides technical support to general practitioners and their teams for better care of cardiovascular diseases in their practice.

Objective:To investigate the compliance of statins and influencing factors in population with cardiovascular risks in the community.Methods:One hundred and eighty-six residents with cardiovascular disease risks in a community of Tianjin were recruited from June 2017 to October 2017. The Chinese revised version of the compliance Morisky scale was used to assess the compliance, and the influencing factors were analyzed.Results:Among all subjects 119 were prescribed with statins (64.0%,119/186) , of whom 7.6% (9/119) did not take the drug. According to the risk assessment of arteriosclerotic cardiovascular disease (ASCVD) in the next 10 years, among the 110 subjects taking the medicine, there were 18 subjects with intermediate risk and 92 with high risk. The subjects with good compliance accounted for 30.0% (33/110), and those with poor compliance accounted for 70.0% (77/110). Univariate analysis showed that education level, occupation, and drug types were significantly associated with statin compliance ( P<0.05). Multivariate logistic regression analysis showed that higher education level and fewer total drug users were correlated with better compliance ( OR=3.530 and 0.388, P<0.05) . The reasons for subjects not taking medicine were fearing of adverse reactions ( n=6, 6/9) , and thinking no symptoms and no need to have medication ( n=3, 3/9).The reasons of poor medication adherence were thinking no symptoms and no need to have medication ( n=31, 40.2%), thinking ineffectiveness of medication ( n=28, 36.4%), fearing of adverse reactions ( n=16, 20.8%), and economic pressure ( n=2, 2.6%). Conclusions:The proportion of residents with poor compliance of statins is high in the community. It is suggested that targeted interventions and standardized management for subjects with cardiovascular risks should be conducted based on the related factors found in the study.

OBJECTIVE： To provide reference for improving emergency capacity of the hospital pharmacy department in response to the novel coronavirus pneumonia （COVID-19） epidemic. METHODS ：According to the related regulations and requirements of Law of the People ’s Republic of China on the Prevention and Control of Infectious Diseases ，combined with the situation of COVID- 19 epidemic prevention and control ，and management experience of relevant hospitals ，on the basis of in-depth analysis of drug supply and quality assurance ，drug dispensing management ，provision of clinical pharmaceutical services and other related material support of hospital pharmacy department，integrated emergency management model was constructed for COVID- 19 epidemic prevention and control ，and the precautions and response measures of each link were sorted out. RESULTS ：Integruted emergency management mode for COVID-19 epidemic prevention and control in hospital pharmacy department included but was not limited to human resource management，drug and disinfection products supply management （mainly including key treatment drugs and disinfection product list formulation，control，inventory increase ，etc.）；drug dispensing management （mainly including prescription ，pharmacy window ， planning quantitative reserve ， drug return ， etc.）；clinical pharmaceutical care management （mainly including providing pharmaceutical information support ，online pharmaceutical service ，monitoring drug safety ，etc.）；personnel protection and disinfection （mainly including personnel protection ，environment and window ，equipment and container ，paper prescription disinfection，etc.）；special management of donated drugs ；prevention and control knowledge training ；pharmaceutical education and scientific research management ，etc. CONCLUSIONS ：The integrated emergency management model for epidemic prevention and control is helpful for hospital pharmacy to manage public health emergencies. During the outbreak of COVID- 19，hospital pharmacy department should start integrated emergency management mode for epidemic prevention and control ，strengthen the risk control of each link ，and play a good role in the key functional departments in the special period.

[摘 要] 目的：检测长链非编码RNA（long non-coding RNA，lncRNA）ARHGAP5-AS1在乳腺癌组织及细胞中的表达，分析其表达与患者临床病理参数及预后的相关性，并初步探讨其对乳腺癌细胞体外增殖、迁移和侵袭的影响。方法：通过对TCGA数据库中乳腺癌相关数据集的生物信息学分析，筛选出在乳腺癌中低表达且与患者不良预后相关的lncRNA ARHGAP5-AS1，采用qPCR方法在江南大学附属医院肿瘤科从2010年4月至2016年10月收集的乳腺癌组织中验证其表达。采用χ2检验分析ARHGAP5-AS1表达与乳腺癌患者临床病理参数之间的关系，Kaplan-Meier生存分析构建生存曲线，比较高、低表达组的总生存期和无复发生存期。CCK-8实验、划痕实验和Transwell实验分别检测ARHGAP5-AS1敲低对乳腺癌细胞MDA-MB-231和BT-549的增殖、迁移和侵袭的影响。结果：TCGA数据库分析结果显示，ARHGAP5-AS1在乳腺癌组织中的表达水平显著低于正常乳腺组织（P<0.01），其低表达与较大肿瘤直径（T3）、远处转移（M1）、ER和PR阴性以及较短的总生存期显著相关（均P<0.05）。乳腺癌组织中ARHGAP5-AS1表达水平显著低于癌旁组织（P<0.05），其低表达与较大的肿瘤直径和淋巴结转移相关（均P<0.05）。同样，ARHGAP5-AS1在6株人乳腺癌细胞系（MDA-MB-231、BT-549、MDA-MB-468、MCF-7、HCC1937、Hs578T）中的表达水平也显著低于正常乳腺上皮细胞系（MCF-10A）（均P<0.05）。细胞功能实验显示，ARHGAP5-AS1敲低促进MDA-MB-231和BT-549细胞的增殖、迁移和侵袭（均P<0.05）。结论：ARHGAP5-AS1异常低表达可能通过促进乳腺癌细胞的增殖、迁移和侵袭影响乳腺癌的发生发展。