Objective To explore the risk factors for the occurrence of adenomatous polyps in melanosis coli(MC),and to construct and validate a risk prediction model for the occurrence of adenomatous polyps in MC.Methods The clinical data of patients with melanosis coli who underwent colonoscopy in our hospital were retrospectively analyzed.The related risk factors,including gender,age,smoking history,drinking history,hypertension history,diabetes history,melanosis degree and so on,were collected.Establish a column chart model for predicting the risk of adenomatous polyps using R language,evaluate the model through C-index,calibration curve,and decision curve analysis(DCA),and validate the model internally using Bootstrap method.Results Gender,degree of melanosis,homocysteine,HbA1c,TSH,fecal occult blood,gallstones or polyps,HP infection were the independent influencing factors of adenomatous polyps in patients with melanosis of large intestine.The model had a good discrimination in predicting the risk of adenomatous polyps in patients with colorectal melanosis.Hosmer Lemeshow goodness of fit test showed that the P values of the training set and the validation set were 0.157 and 0.179,respectively(both＜0.05),indicating that the model fitted well.When the threshold probability of the training set and the validation level were both 0％to 100％,patients with melanosis of the colon may benefit from clinical intervention.Conclusion The risk model established by the above risk factors has good discrimination and good fit,which can provide reference for clinical decision-making.

Objective To observe the value of CT radiomics for differentiating spinal bone islands(BI)and osteoblastic metastases(OBM).Methods Data of 109 BI lesions in 98 patients and 282 OBM lesions in 158 patients(including 103 OBM in 48 lung cancer cases,86 OBM in 52 breast cancer cases and 93 OBM in 58 prostate cancer cases)from 3 medical institutions were retrospectively analyzed.Data obtained from institution 1 were used as the internal dataset and divided into internal training set and internal validation set at a ratio of 7∶3,from institution 2 and 3 were used as external dataset.All datasets were divided into female data subset(including OBM of female lung cancer and breast cancer)and male data subset(including OBM of male lung cancer and prostate cancer).Radiomics features were extracted and screened to construct 3 different support vector machine(SVM)models,including model1 for distinguishing BI and OBM,model2 for differentiating OBM of female lung cancer and breast cancer,and model3 for differentiating OBM of male lung cancer and prostate cancer.Diagnostic efficacy of model1,CT value alone and 3 physicians(A,B,C)for distinguishing BI and OBM were assessed,as well as differentiating efficacy for different OBM of model2 and model3.Receiver operating characteristic(ROC)curves were drawn,and area under the curves(AUC)were calculated and compared.The differential diagnostic efficacy of model2 and model3 were also assessed with ROC analysis and AUC.Results AUC of model1 for distinguishing spinal OBM from BI in internal training set,internal validation set and external dataset was 0.99,0.98 and 0.86,respectively.In internal training set,model1 had higher AUC for distinguishing BI and OBM than that of physician A(AUC=0.78),B(AUC=0.87)and C(AUC=0.93)as well as that of mean CT value(AUC=0.78,all P＜0.05).AUC in internal training set,internal validation set and external dataset of model2 for identifying female lung cancer and breast cancer OBM was 0.79,0.75 and 0.73,respectively,of model3 for discriminating male lung cancer from prostate cancer OBM was 0.77,0.74 and 0.77,respectively.Conclusion CT radiomics SVM model might reliablely distinguish OBM and BI.

Objective: To investigate the timing of pericardial drainage catheter removal and restart of the anticoagulation in patients with atrial fibrillation (AF) suffered from perioperative pericardial tamponade during atrial fibrillation catheter ablation and uninterrupted dabigatran. Methods: A total of 20 patients with pericardial tamponade, who underwent AF catheter ablation with uninterrupted dabigatran in Beijing Anzhen Hospital from January 2019 to August 2021, were included in this retrospective analysis. The clinical characteristics of enrolled patients, information of catheter ablation procedures, pericardial tamponade management, perioperative complications, the timing of pericardial drainage catheter removal and restart of anticoagulation were analyzed. Results: All patients underwent pericardiocentesis and pericardial effusion drainage was successful in all patients. The average drainage volume was (427.8±527.4) ml. Seven cases were treated with idarucizumab, of which 1 patient received surgical repair. The average timing of pericardial drainage catheter removal and restart of anticoagulation in 19 patients without surgical repair was (1.4±0.7) and (0.8±0.4) days, respectively. No new bleeding, embolism and death were reported during hospitalization and within 30 days following hospital discharge. Time of removal of pericardial drainage catheter, restart of anticoagulation and hospital stay were similar between patients treated with idarucizumab or not. Conclusion: It is safe and reasonable to remove pericardial drainage catheter and restart anticoagulation as soon as possible during catheter ablation of atrial fibrillation with uninterrupted dabigatran independent of the idarucizumab use or not in case of confirmed hemostasis.
Humans ; Atrial Fibrillation/drug therapy* ; Dabigatran/therapeutic use* ; Cardiac Tamponade/complications* ; Anticoagulants/therapeutic use* ; Retrospective Studies ; Treatment Outcome ; Drainage/adverse effects* ; Catheter Ablation ; Catheters/adverse effects*

The cGAS-STING signaling pathway is one of the main pathways of immune defense against many types of pathogens. cGAS catalyzes the production of the second messenger cGAMP (cyclic GMP-tVMP) by recognizing plasma DNA and cGAMP subsequently binds to the interferon gene stimulating factor (STING). The pathway induces the production of type I interferon (IFN-I) and activates the innate immune system. The activation of the cGAS-STI]NG pathway could facilitate self-protection,thus STI]NG agonists for tumor immunotherapy have attracted much attention in recent years,and several drug candidates have been in clinical trials. Meanwhile,aberrant activation of cGAS-STI]NG could lead to autoimmune diseases and has attracted extensive interest in developing its inhibitors. This paper summarizes the mechanism and regulatory sites of the cGAS-STI]NG pathway,and outlines the research progress of cGAS-STING pathway-related immune and inflammatory diseases and its inhibitors.

Phosphodiesterase 4 (PDE4) is an important member of the phosphodiesterase enzyme family that specifically catalyzes the hydrolysis of cyclic adenosine monophosphate (cAMP), activates the downstream phosphorylation cascade pathway by altering cAMP concentration, and is strongly associated with multiple diseases. Inhibition of PDE4 is clinically investigated as a therapeutic strategy in a broad range of disease areas, including respiratory system diseases, autoimmune disorders, central nervous system diseases, and dermatological conditions. However, the incidence of adverse reactions such as nausea and vomiting is relatively high in the marketed PDE4 inhibitors, which has stalled their clinical development. In this review, we provide an overview of the clinical progression and safety issues of the marketed PDE4 inhibitors. We also review the main causes underlying PDE4-mediated adverse effects by combining the structural analysis of the PDE4 protein, the mechanism of action of PDE4 inhibitors, and the related side effect mechanism research, aiming to provide a reference for the development of safe and effective PDE4 inhibitors.

BACKGROUND: Patients with atrial fibrillation (AF) and prior stroke history have a high risk of cardiovascular events despite anticoagulation therapy. It is unclear whether catheter ablation (CA) has further benefits in these patients. METHODS: AF patients with a previous history of stroke or systemic embolism (SE) from the prospective Chinese Atrial Fibrillation Registry study between August 2011 and December 2020 were included in the analysis. Patients were matched in a 1:1 ratio to CA or medical treatment (MT) based on propensity score. The primary outcome was a composite of all-cause death or ischemic stroke (IS)/SE. RESULTS: During a total of 4.1 ± 2.3 years of follow-up, the primary outcome occurred in 111 patients in the CA group (3.3 per 100 person-years) and in 229 patients in the MT group (5.7 per 100 person-years). The CA group had a lower risk of the primary outcome compared to the MT group [hazard ratio (HR) = 0.59, 95% CI: 0.47-0.74, P < 0.001]. There was a significant decreasing risk of all-cause mortality (HR = 0.43, 95% CI: 0.31-0.61, P < 0.001), IS/SE (HR = 0.73, 95% CI: 0.54-0.97, P = 0.033), cardiovascular mortality (HR = 0.32, 95% CI: 0.19-0.54, P < 0.001) and AF recurrence (HR = 0.33, 95% CI: 0.30-0.37, P < 0.001) in the CA group compared to that in the MT group. Sensitivity analysis generated consistent results when adjusting for time-dependent usage of anticoagulants. CONCLUSIONS In AF patients with a prior stroke history, CA was associated with a lower combined risk of all-cause death or IS/SE. Further clinical trials are warranted to confirm the benefits of CA in these patients.

Taking the Chinese city of Xiamen as an example, simulation and quantitative analysis were performed on the transmissions of the Coronavirus Disease 2019 (COVID-19) and the influence of intervention combinations to assist policymakers in the preparation of targeted response measures. A machine learning model was built to estimate the effectiveness of interventions and simulate transmission in different scenarios. The comparison was conducted between simulated and real cases in Xiamen. A web interface with adjustable parameters, including choice of intervention measures, intervention weights, vaccination, and viral variants, was designed for users to run the simulation. The total case number was set as the outcome. The cumulative number was 4,614,641 without restrictions and 78 under the strictest intervention set. Simulation with the parameters closest to the real situation of the Xiamen outbreak was performed to verify the accuracy and reliability of the model. The simulation model generated a duration of 52 days before the daily cases dropped to zero and the final cumulative case number of 200, which were 25 more days and 36 fewer cases than the real situation, respectively. Targeted interventions could benefit the prevention and control of COVID-19 outbreak while safeguarding public health and mitigating impacts on people's livelihood.
COVID-19/prevention & control* ; China/epidemiology* ; Humans ; Machine Learning ; Pandemics/prevention & control* ; Policy ; Reproducibility of Results ; SARS-CoV-2

Objective: To explore the relationship between fasting blood glucose level and thromboembolism events in patients with non-valvular atrial fibrillation (NVAF). Methods: This was an observational study based on data from a multicenter, prospective Chinese atrial fibrillation registry cohort, which included 18 703 consecutive patients with atrial fibrillation (AF) in 31 hospitals in Beijing from August 2011 to December 2018. Patients were divided into 5 groups according to status of comorbid diabetes and fasting glucose levels at admission: normal blood glucose (normal glucose group), pre-diabetes group, strict glycemic control group, average glycemic control group and poor glycemic control group. Patients were followed up by telephone or outpatient service every 6 months. The primary follow-up endpoint was thromboembolic events, including ischemic stroke and systemic embolism. The secondary endpoint was the composite endpoint of cardiovascular death and thromboembolic events. Kaplan-Meier survival analysis and multifactorial Cox regression were used to analyze the correlation between fasting glucose levels and endpoint events. Results: The age of 18 703 patients with NVAF was (63.8±12.0) years, and there were 11 503 (61.5%) male patients. There were 11 877 patients (63.5%) in normal blood glucose group, 2 023 patients (10.8%)in pre-diabetes group, 1 131 patients (6.0%) in strict glycemic control group, 811 patients in average glycemic control group and 2 861 patients(4.3%) in poor glycemic control group. Of the 4 803 diabetic patients, 1 131 patients (23.5%) achieved strict glycemic control, of whom 328 (29.0%) were hypoglycemic (fasting blood glucose level<4.4 mmol/L at admission). During a mean follow-up of (51±23) months (up to 82 months), thromboembolic events were reported in 984 patients (5.3%). The survival curve analysis of Kaplan Meier showed that the incidence rates of thromboembolic events in normal glucose group, pre-diabetes group, strict glycemic control group, average glycemic control group and poor glycemic control group were 1.10/100, 1.41/100, 2.09/100, 1.46/100 and 1.71/100 person-years, respectively (χ²=53.0, log-rank P<0.001). The incidence rates of composite endpoint events were 1.86/100, 2.17/100, 4.08/100, 2.58/100, 3.16/100 person-years (χ²=72.3, log-rank P<0.001). The incidence of thromboembolic events and composite endpoint events in the other four groups were higher than that in the normal blood glucose group (P<0.001). Multivariate Cox regression analysis showed that compared with normal glucose group, the risk of thromboembolism increased in pre-diabetes group(HR=1.23, 95%CI 1.00-1.51, P=0.049), strict glycemic control group(HR=1.32, 95%CI 1.06-1.65, P=0.013) and poor glycemic control group(HR=1.26, 95%CI 1.01-1.58, P=0.044). Conclusion: Both high or low fasting glucose may be an independent risk factor for thromboembolic events in patients with NVAF.
Aged ; Atrial Fibrillation/complications* ; Blood Glucose/analysis* ; Fasting ; Humans ; Male ; Middle Aged ; Prospective Studies ; Thromboembolism/etiology*

OBJECTIVE: To evaluate the effectiveness and safety of Baidu Jieduan Granules (BDJDG) to treat common type coronavirus disease 2019 (COVID-19). METHODS: This multicenter, retrospective, and observational clinical trial included 230 common COVID-19 patients in Leishenshan, Huangshi, and Laohekou Hospitals in Wuhan from January 21 to March 26, 2020. The included patients were further divided into two subgroups according to the use of supplemental oxygen, mild and moderate groups. During the first 14 d of hospitalization, all patients were administered BDJDG combined with conventional Western medicine, and observed for continuous 28 d. Primary outcomes were disease progression rate and discharge rate. Secondary outcomes included negative conversion time of nucleic acid, hospitalization duration, clinical symptom subsidence time, and symptom regression rate. RESULTS: A total of 230 common COVID-19 patients were analyzed (138 in moderate group and 92 in mild group). By day 28, the disease progression rate was 4.3% and the discharge rate was 95.7%. All mild cases recovered and were discharged from hospital. The median negative conversion time of nucleic acid of all 230 COVID-19 patients was 12 d [inter-quartile range (IQR) 3.5-17], the median hospitalization duration was 15 d (IQR 12-20). The median time to fever, cough, and fatigue recovery was 4 d (IQR 2-6), 8 d (IQR 5-12), and 8 d (IQR 5-11). The recovery rate of fever, cough, and fatigue was 94.6%, 90.5%, and 93.5%. The median time to clinical improvement was 12 d (IQR 10-17). Compared with the baseline, total leukocyte counts, neutrophil counts, lymphocyte counts, and platelet counts were increased significantly on days 7 and 14 (P<0.01). C-reactive protein markedly increased on day 3 and significantly decreased on days 7 and 14 (P<0.01). No serious adverse events occurred during treatment. CONCLUSION BDJDG may be effective and safe for treatment of common type COVID-19. (Registration No. ChiCTR2000030836).
C-Reactive Protein ; China ; Cough/drug therapy* ; Disease Progression ; Fatigue ; Fever ; Humans ; Nucleic Acids ; Oxygen ; Retrospective Studies ; SARS-CoV-2 ; Treatment Outcome ; COVID-19 Drug Treatment

In the fifth scientific and technological revolution， information technology is the first productivity， which has a great impact on the supply and demand of medical services. Generally， internet medicine is equivalent to the combination between health industry and information technology. "Healthy China" strategy is China's "priority development strategy"， which adheres to the principle of health equity， emphasizes the integration of health into all policies， and takes co-construction and sharing as the basic path. With implementing internet medicine， "Healthy China" strategy promotes the mobility of medical service with three tools： interconnection， data and artificial intelligence. This enhances the operation efficiency of overall medical and health system， and optimizes the allocation of medical resources. The future development of internet medicine follows the double helix mode driven by technology and policy， and the policy determines the development boundary of the industry. On the basis to ensure medical safety， we should explore the possibility of internet diagnosis and treatment further， and pay attention to the fairness of resource allocation while improving efficiency， so as to realize the co-construction and sharing of health services.