Objective:To compare the sustained virological response (SVR) and viral recurrence in patients with chronic hepatitis C (CHC) after antiviral treatment, and to further analyze the influencing factors of liver-related events (LRE).Methods:This was a retrospective cohort study. A total of 1 844 CHC patients who visited the Department of Infectious Diseases of Hainan General Hospital from January 1st, 2013 to December 31st, 2022 were included. After screening, 891 patients were selected and divided into direct-acting antiviral agent (DAA) treatment group, interferon treatment group and non-antiviral treatment group based on different intervention measures. Propensity score matching was performed, and SVR and viral recurrence were compared among the three groups. Statistical analysis was performed using the chi-square test, and multivariate Cox regression analysis was used to evaluate the risk factors for LRE.Results:The confirmed CHC patients showed an increasing trend year by year (average annual change percentage=19.97%, 95% confidence interval ( CI) 10.46% to 30.30%, t=4.32, P<0.001). After propensity score matching, the total sample size of 891 CHC patients was 451, including 100 in the interferon treatment group, 311 in the DAA treatment group, and 40 in the non-antiviral treatment group. In the interferon treatment group, 89 cases (89.00%) achieved SVR and nine cases (9.00%) had recurrence. In the DAA treatment group, 306 cases (98.39%) achieved SVR and 10 cases (3.22%) had recurrence. The differences were statistically significant ( χ2=17.84 and 6.22, respectively, both P<0.05). Cox multivariate regression analysis showed that age (hazard ratio ( HR)=1.065, 95% CI 1.028 to 1.104, P<0.001), alcohol consumption ( HR=3.034, 95% CI 1.302 to 7.071, P=0.010) were independent risk factors for LRE in CHC patients, while albumin ( HR=0.858, 95% CI 0.802 to 0.917, P<0.001), DAA treatment ( HR=0.267, 95% CI 0.103 to 0.692, P=0.007) were protective factors. In CHC patients receiving antiviral treatment, diabetes ( HR=6.719, 95% CI 2.242 to 20.137, P<0.001), total bilirubin ( HR=1.111, 95% CI 1.054 to 1.171, P<0.001) and viral recurrence ( HR=4.646, 95% CI 1.322 to 16.321, P=0.017) were independent risk factors for LRE. Conclusions:Compared with interferon treatment, DAA treatment has a significantly higher SVR rate and a lower recurrence rate. Age and alcohol consumption are independent risk factors for LRE, while higher albumin levels and DAA treatment are protective factors. In CHC patients receiving antiviral treatment, diabetes, viral recurrence, and total bilirubin are independent risk factors for LRE.

Tuberculosis remains a significant global public health threat.Early diagnosis and effective treatment are crucial to combat this disease.Yet,traditional diagnostic methods for tuberculosis face limitations due to their low sensitivity,extended detection periods,and dependence on sputum samples.Molecular diagnostic techniques,while offering higher sensitivity,still primarily rely on sputum samples,thereby impeding significant advancements in tuberculosis diagnosis.In clinical settings,there exists a pressing demand for diagnostic approaches that are not solely reliant on sputum samples.In recent years,extracellular vesicles(EVs),as emerging biomarkers,have demonstrated substantial potential in various diseases,including tumors and infectious diseases.A multitude of studies indicate that EVs also exhibit potential in the field of tuberculosis.This review provides an in-depth analysis of the biological characteristics of EVs and their role in the pathogenesis of tuberculosis.It systematically summarizes the progress and significance of EV-based biomarkers in tuberculosis diagnosis,treatment monitoring,and disease mechanism exploration,while addressing the challenges and future prospects in this field.The aim is to offer valuable insights and up-to-date research findings to researchers and clinicians engaged in tuberculosis-related studies.

Objective:To analyze the effect of continuous positive airway pressure (CPAP) on maternal and neonatal outcomes in pregnant women with obstructive sleep apnea syndrome (OSAS), especially on the incidence of hypertensive disorder in pregnancy (HDP) in women with moderate to severe OSAS.Methods:A total of 180 pregnant women with OSAS who were diagnosed through sleep monitoring during pregnancy due to high-risk factors of OSAS and registered in Peking University People′s Hospital from January 2021 to May 2024 were selected as the study subjects. Clinical data were collected from medical records for retrospective analysis. According to whether they received standardized treatment with CPAP, they were divided into the CPAP treatment group (42 cases) and the control group (138 cases). The CPAP treatment group consisted of 9 pregnant women with moderate to severe OSAS, while the control group consisted of 34 pregnant women with moderate to severe OSAS. The maternal and neonatal outcomes, the incidence of HDP, placental weight after delivery and placental weight/neonatal birth weight ratio were compared between the two groups.Results:(1) The average gestational age of pregnant women in the CPAP treatment group was higher than that in the control group [(38.7±1.0) vs (38.0±1.4) weeks], the proportion of infants small for gestational age (SGA) in the CPAP treatment group was lower [0 (0/42) vs 12.3% (17/138)], and the birth weight of infants in the CPAP treatment group was bigger [(3 396±475) vs (3 082±710) g); the differences between the two groups were statistically significant (all P<0.05). There were no significant differences between the CPAP treatment group and the control group in terms of delivery mode, rates of postpartum hemorrhage and preterm birth, umbilical artery blood gas analysis pH<7.1, lactate≥6.0 mmol/L, base excess<-12.0 mmol/L and the incidence of gestational diabetes mellitus and HDP (all P>0.05). (2) The placental weight of the CPAP treatment group was significantly lower than that of the control group [(554.0±70.6) vs (615.7±119.1) g], the placental weight/newborn birth weight ratio of the CPAP treatment group was significantly lower than that of the control group (median: 0.17 vs 0.19), and the differences were statistically significant (all P<0.05). (3) The incidence of HDP in pregnant women with moderate to severe OSAS in the CPAP treatment group was lower than that in the control group [1/9 vs 61.8% (21/34)], and the difference was statistically significant ( P<0.05). Conclusions:CPAP treatment could prolong the gestational age in pregnant women with OSAS, reduce the incidence of SGA, increase the birth weight of infants, and reduce the incidence of HDP in pregnant women with moderate to severe OSAS, and is worth promoting in clinical practice. The improvement of neonatal outcomes by CPAP treatment is closely related to the placenta, which is worthy of further exploration.

Perioperative rehabilitation aims to alleviate symptoms,restore function,and improve quality of life.These goals largely involve subjective patient experiences,which are not fully captured by traditional outcome measures.In recent years,patient-reported outcomes(PROs)have emerged as essential tools to quantify patients'perceptions of health and have been widely used in drug and device clinical trials.This review summarizes the current applications of PROs in general surgery,including symptom description,comparison of surgical methods,complication warning,and patient management.Practical cases and evidence from domestic and international studies are discussed.With the integration of electronic PROs(ePROs),artificial intelligence,and natural language processing,future efforts should focus on developing localized,specialty-specific tools and establishing stronger correlations between PROs and clinical outcomes to support the transition from disease-centered to patient-centered surgical care.

Objective To explore the application of artificial intelligence quantitative analysis in the prognostic assessment of patients with connective tissue disease-associated interstitial lung disease(CTD-ILD).Methods A total of 67 patients with CTD-ILD were retrospectively selected.All subjects underwent high-resolution computed tomography(HRCT)scanning and were categorized into three groups,namely mild,moderate and severe groups,based on the results of pulmonary function tests.The survival rates of patients in each group were compared using Kaplan-Meier curves and analysis of variance.The univariate analysis was employed to assess the rela-tionships between artificial intelligence parameters and patient prognosis.Significant results were then incorporated into a multifacto-rial Cox regression model to construct the most accurate predictive model.Results A significant difference in survival rate was observed among the three groups(P<0.05).Univariate analysis revealed that the volume and percentage of lung infection in deceased patients were significantly greater than those in surviving patients,while the lung volume in deceased patients was significantly smaller than that in surviving patients.The analysis showed left lung volume and the percentage of lesion components CT value≤-750 HU as risk factors for prognosis,and the combination of these two factors as the most effective predictive model.Conclusion The artificial intelligence analysis system for lung lesions provides a new systematic and quantitative method for the prognostic assessment of CTD-ILD patients,which can be used for the prognostic assessment and follow-up of CTD-ILD patients.

Myocardial fibrosis (MF) is a common pathological hallmark of cardiovascular diseases, reflecting shared mechanisms in their progression. However, the lack of reliable MF models that accurately mimic its pathogenesis has hindered drug discovery, highlighting the urgent need for more effective therapeutic agents. Herein, a novel contractile three-dimensional (3D) myocardial tissue model integrating cardiomyocytes, cardiac-fibroblasts, and bone marrow-derived macrophages in collagen hydrogel was developed to simulate the fibrotic changes of cardiovascular disease, and facilitate the screening of anti-MF compounds. The 3D myocardial tissue model exhibited precise, visualizable, and quantifiable contractile characteristics under hypoxia and drug interventions. 76 compounds extracted from the resins of Toxicodendron vernicifluum, a traditional Chinese medicine with clear clinical benefits for fibrotic diseases, were screened for anti-fibrotic activity. Using an in vitro 3D oxygen-glucose deprivation (OGD)-treated myocardial tissue model instead of a two-dimensional transforming growth factor-β treated cardiac-fibroblasts model, two candidates including LQ-40 and SQ-3 exert impressive anti-MF activity, which was further validated in left anterior descending coronary artery ligation-induced MF mouse model. The current results demonstrate the feasibility and advantage of the novel contractile 3D tissue model with multi-cell types in discovering candidates for MF, further stressing the great potential of regulating macrophages in the treatment of MF.

Objective To observe the clinical effect of Xiaotan Zhitong gel on heel pain caused by plantar fasciitis.Methods A total of 72 patients diagnosed with plantar fasciitis heel pain were randomly divided into observation group(36 cases)and control group(36 cases).Patients in the control group were treated with local application of diclofenac diethylamine emulgel twice a day and those in the treatment group were treated with Xiaotan Zhitong gel twice a day,with both treatments lasting for 28 d.The visual analogue scale(VAS)score of heel pain,the quantitative scale score of heel pain symptom grading,and the American Foot and Ankle Society(AOFAS)ankle-hindfoot score were evaluated before and after treatment.The changes of plantar fascia thickness were examined ultrasonographically before and after treatment in the 2 groups.The effective rates of treatment and the 3-month relapse rates were observed in the 2 groups.Results Before treatment,there were no significant differences in heel pain VAS score,heel pain symptom grading quantitative scale score,AOFAS ankle-hindfoot score,or plantar fascia thickness between the 2 groups(all P＞0.05).After treatment,the above indexes were improved in both groups compared with those before treatment(all P＜0.05);and the pain VAS score,heel pain symptom grading quantitative scale total score,heel pain symptom grading quantitative scale pain score,heel pain symptom grading quantitative scale pressure score,heel pain symptom grading quantitative scale dysfunction score,and AOFAS ankle-hindfoot score in the observation group were significantly improved compared with those in the control group(all P＜0.05).The thickness of plantar fascia was significantly thinner than that of the control group(P＜0.05),and the insomnia scores on the heel pain symptom grading quantitative scale were not significantly different between the 2 groups(P＞0.05).The effective rate of the observation group(80.6%,29/36)was significantly higher than that of the control group(55.6%,20/36)(P＜0.05),and the 3-month recurrence rate in the observation group(16.7%,6/36)was significantly lower than that of the control group(41.7%,15/36)(P＜0.05).Conclusion Xiaotan Zhitong gel can reduce heel pain,improve foot function,and reduce plantar fascia thickness in patients with plantar fasciitis,also with low recurrence rate after treatment.

Tuberculosis remains a significant global public health threat.Early diagnosis and effective treatment are crucial to combat this disease.Yet,traditional diagnostic methods for tuberculosis face limitations due to their low sensitivity,extended detection periods,and dependence on sputum samples.Molecular diagnostic techniques,while offering higher sensitivity,still primarily rely on sputum samples,thereby impeding significant advancements in tuberculosis diagnosis.In clinical settings,there exists a pressing demand for diagnostic approaches that are not solely reliant on sputum samples.In recent years,extracellular vesicles(EVs),as emerging biomarkers,have demonstrated substantial potential in various diseases,including tumors and infectious diseases.A multitude of studies indicate that EVs also exhibit potential in the field of tuberculosis.This review provides an in-depth analysis of the biological characteristics of EVs and their role in the pathogenesis of tuberculosis.It systematically summarizes the progress and significance of EV-based biomarkers in tuberculosis diagnosis,treatment monitoring,and disease mechanism exploration,while addressing the challenges and future prospects in this field.The aim is to offer valuable insights and up-to-date research findings to researchers and clinicians engaged in tuberculosis-related studies.

Perioperative rehabilitation aims to alleviate symptoms,restore function,and improve quality of life.These goals largely involve subjective patient experiences,which are not fully captured by traditional outcome measures.In recent years,patient-reported outcomes(PROs)have emerged as essential tools to quantify patients'perceptions of health and have been widely used in drug and device clinical trials.This review summarizes the current applications of PROs in general surgery,including symptom description,comparison of surgical methods,complication warning,and patient management.Practical cases and evidence from domestic and international studies are discussed.With the integration of electronic PROs(ePROs),artificial intelligence,and natural language processing,future efforts should focus on developing localized,specialty-specific tools and establishing stronger correlations between PROs and clinical outcomes to support the transition from disease-centered to patient-centered surgical care.

Objective To explore the application of artificial intelligence quantitative analysis in the prognostic assessment of patients with connective tissue disease-associated interstitial lung disease(CTD-ILD).Methods A total of 67 patients with CTD-ILD were retrospectively selected.All subjects underwent high-resolution computed tomography(HRCT)scanning and were categorized into three groups,namely mild,moderate and severe groups,based on the results of pulmonary function tests.The survival rates of patients in each group were compared using Kaplan-Meier curves and analysis of variance.The univariate analysis was employed to assess the rela-tionships between artificial intelligence parameters and patient prognosis.Significant results were then incorporated into a multifacto-rial Cox regression model to construct the most accurate predictive model.Results A significant difference in survival rate was observed among the three groups(P<0.05).Univariate analysis revealed that the volume and percentage of lung infection in deceased patients were significantly greater than those in surviving patients,while the lung volume in deceased patients was significantly smaller than that in surviving patients.The analysis showed left lung volume and the percentage of lesion components CT value≤-750 HU as risk factors for prognosis,and the combination of these two factors as the most effective predictive model.Conclusion The artificial intelligence analysis system for lung lesions provides a new systematic and quantitative method for the prognostic assessment of CTD-ILD patients,which can be used for the prognostic assessment and follow-up of CTD-ILD patients.