ObjectiveTo investigate the status of overlapping hepatitis B virus （HBV） infection in patients with chronic hepatitis C virus （HCV） infection and the serological characteristics of such patients. MethodsA total of 8 637 patients with HCV infection who were hospitalized from January 1， 2010 to December 31， 2020 and had complete data of HBV serological markers were enrolled， and the composition ratio of patients with overlapping HBV serological markers was analyzed among the patients with HCV infection. The patients were divided into groups based on age and year of birth， and serological characteristics were analyzed， and the distribution of HBV-related serological characteristics were analyzed across different HCV genotypes. ResultsThe patients with HCV/HBV overlapping infection accounted for 5.85%， and the patients with previous HBV infection accounted for 48.10%； the patients with protective immunity against HBV accounted for 14.67%， while the patients with a lack of protective immunity against HBV accounted for 31.39%. The patients were divided into groups based on age： in the 0 — 17 years group， the patients with protective immunity against HBV accounted for 61.41% （304 patients）； the 18 — 44 years group was mainly composed of patients with previous HBV infection （698 patients， 37.31%）， the 45 — 59 years group was predominantly composed of patients with previous HBV infection （1 945 patients， 50.38%）， and the ≥60 years group was also predominantly composed of patients with previous HBV infection （1 486 patients， 61.66%）. The patients were divided into groups based on the year of birth： in the pre-1992 group， the patients with previous HBV infection accounted for 51.63% （4 112 patients）； in the 1992 — 2005 group， the patients with protective immunity against HBV accounted for 54.72% （168 patients）； in the post-2005 group， the patients with protective immunity against HBV accounted for 64.38% （235 patients）. In this study， 6 301 patients underwent HCV genotype testing： the patients with genotype 1b accounted for the highest proportion of 51.71% （3 258 patients）， followed by those with genotype 2a （1 769 patients， 28.07%）， genotype 3b （63 patients， 1.00%）， genotype 3a （10 patients， 0.16%）， genotype 4 （21 patients， 0.33%）， and genotype 6a （5 patients， 0.08%）. ConclusionWith the implementation of hepatitis B planned vaccination program in China， there has been a significant reduction in the proportion of patients with previous HBV infection among the patients with HCV/HBV overlapping infection， but there is still a relatively high proportion of patients with a lack of protective immunity against HBV.

Bletilla striata polysaccharide(BSP)exhibits a wide range of pharmacological activities,including antibacterial,antitumor,antioxidant,immunomodulatory,and wound healing-promoting effects.In drug delivery systems,BSP can significantly enhance therapeutic efficacy while reducing adverse side effects,showing great potential in the treatment of cancer,infectious diseases,and tissue regeneration.This review systematically collected and analyzed recent studies from domestic and international literature databases concerning the pharmacological effects of BSP and its applications in drug delivery systems.The pharmacological properties of BSP and the progress in BSP-based drug delivery system development are comprehensively summarized.Owing to its unique pharmacological activities and excellent biocompatibility,BSP has been increasingly utilized in drug delivery platforms,often synergizing with targeted delivery,controlled release systems,and tissue repair technologies,thereby offering innovative strategies for the treatment of complex diseases.

Objective:To construct and validate a predictive model for postoperative pulmonary complications (PPCs) in patients undergoing robot-assisted laparoscopic urological surgery.Methods:This retrospective study included the medical records of 932 patients who underwent robot-assisted laparoscopic urological surgery at the First Affiliated Hospital of Zhejiang University School of Medicine from January 2020 to February 2022. The patients were divided into a training group ( n=559) and a validation group ( n=373) at a 6∶4 ratio. Logistic regression analysis was used to determine the independent risk factors for PPCs, and a nomogram prediction model was constructed based on these factors. The performance of the model was evaluated using the receiver operating characteristic curve and calibration curve, and the clinical benefit was assessed using the clinical decision curve analysis. Results:The independent risk factors for PPCs included advanced age (>60 yr), smoking history, respiratory tract infection within 1 month, preoperative low SpO 2 (<96%), and prolonged length of postoperative hospital stay ( P<0.05), and the body mass index (18.5-<28.0 kg/m 2) was a protective factor. The nomogram prediction model developed based on the aforementioned 6 influencing factors had an area under the receiver operating characteristic curve of 0.81 (95% confidence interval 0.76-0.86) in training group and 0.80 (95% confidence interval 0.75-0.86) in validation group. The calibration curve indicated a good consistency between the predicted and actual occurrence curves, and the clinical decision curve analysis showed good accuracy and net benefit of the prediction model. Conclusions:The predictive model for PPCs is successfully constructed based on age, low body mass index, smoking history, history of respiratory tract infection within 1 month, preoperative low SpO 2 and prolonged length of postoperative hospital stay and has good predictive performance in patients undergoing robot-assisted laparoscopic urological surgery.

Bletilla striata polysaccharide(BSP)exhibits a wide range of pharmacological activities,including antibacterial,antitumor,antioxidant,immunomodulatory,and wound healing-promoting effects.In drug delivery systems,BSP can significantly enhance therapeutic efficacy while reducing adverse side effects,showing great potential in the treatment of cancer,infectious diseases,and tissue regeneration.This review systematically collected and analyzed recent studies from domestic and international literature databases concerning the pharmacological effects of BSP and its applications in drug delivery systems.The pharmacological properties of BSP and the progress in BSP-based drug delivery system development are comprehensively summarized.Owing to its unique pharmacological activities and excellent biocompatibility,BSP has been increasingly utilized in drug delivery platforms,often synergizing with targeted delivery,controlled release systems,and tissue repair technologies,thereby offering innovative strategies for the treatment of complex diseases.

Objective:To construct and validate a predictive model for postoperative pulmonary complications (PPCs) in patients undergoing robot-assisted laparoscopic urological surgery.Methods:This retrospective study included the medical records of 932 patients who underwent robot-assisted laparoscopic urological surgery at the First Affiliated Hospital of Zhejiang University School of Medicine from January 2020 to February 2022. The patients were divided into a training group ( n=559) and a validation group ( n=373) at a 6∶4 ratio. Logistic regression analysis was used to determine the independent risk factors for PPCs, and a nomogram prediction model was constructed based on these factors. The performance of the model was evaluated using the receiver operating characteristic curve and calibration curve, and the clinical benefit was assessed using the clinical decision curve analysis. Results:The independent risk factors for PPCs included advanced age (>60 yr), smoking history, respiratory tract infection within 1 month, preoperative low SpO 2 (<96%), and prolonged length of postoperative hospital stay ( P<0.05), and the body mass index (18.5-<28.0 kg/m 2) was a protective factor. The nomogram prediction model developed based on the aforementioned 6 influencing factors had an area under the receiver operating characteristic curve of 0.81 (95% confidence interval 0.76-0.86) in training group and 0.80 (95% confidence interval 0.75-0.86) in validation group. The calibration curve indicated a good consistency between the predicted and actual occurrence curves, and the clinical decision curve analysis showed good accuracy and net benefit of the prediction model. Conclusions:The predictive model for PPCs is successfully constructed based on age, low body mass index, smoking history, history of respiratory tract infection within 1 month, preoperative low SpO 2 and prolonged length of postoperative hospital stay and has good predictive performance in patients undergoing robot-assisted laparoscopic urological surgery.

Objective:To explore the therapeutic efficacy and factors influencing the sequential combination of nucleos(t)ide analogues (NAs) with pegylated interferon alpha (Peg-IFN-α) in the treatment of patients with chronic hepatitis B (CHB).Methods:144 CHB cases with NAs treatment for more than 1 year, HBV DNA < 20 IU/ml, hepatitis B surface antigen (HBsAg) quantification < 3 000 IU/ml, treated with a sequential combination of Peg-IFN-α treatment for 48 to 96 weeks, and followed up were selected from the Fifth Medical Center of the PLA General Hospital between May 2018 and May 2020. Intention-to-treat analysis was used to measure the HBsAg clearance rate at 96 weeks. The Kaplan-Meier method was used to compute the cumulative HBsAg clearance rate at 96 weeks. Univariate and multivariate logistic regression were used to analyze the factors influencing HBsAg clearance at 48 weeks of sequential combination therapy. Univariate and multifactorial COX proportional hazard models were used to analyze the factors influencing HBsAg clearance following 96 weeks of prolonged PEG-IFN-α treatment. The receiver operating characteristic curve was used to assess the predictive value of factors influencing HBsAg clearance. A Mann-Whitney U test was used to compare the measurement data between groups. The count data was compared using the χ2 test between groups. Results:41 (28.47%) cases achieved HBsAg clearance at 48 weeks of sequential combination therapy. The HBsAg clearance rate at 96 weeks was 40.28% (58/144) by intention-to-treat analysis. The Kaplan-Meier method computed that the cumulative HBsAg clearance rate at 96 weeks was 68.90%. Multivariate logistic regression analysis showed that HBsAg quantification at baseline ( OR = 0.090, 95% CI: 0.034-0.240, P < 0.001) and a 24-week drop in HBsAg level ( OR = 7.788, 95% CI: 3.408-17.798, P < 0.001) were independent predictors of HBsAg clearance in CHB patients treated sequentially in combination with NAs and Peg-IFN-α for 48 weeks. Receiver operating characteristic curve analysis showed that the baseline HBsAg quantification [area under the receiver operating characteristic curve (AUC), 0.911, 95% CI: 0.852-0.952)] and 24-week drop in HBsAg level (AUC = 0.881, 95% CI: 0.814-0.930) had equally good predictive value for 48-week HBsAg clearance, but there was no statistically significant difference between the two ( Z = 0.638, P = 0.523). The value of the combination of baseline HBsAg quantification and 24-week drop in HBsAg level (AUC = 0.981, 95% CI: 0.941-0.997) was superior to that of single baseline HBsAg quantification ( Z = 3.017, P = 0.003) and 24-week drop in HBsAg level ( Z = 3.214, P = 0.001) in predicting HBsAg clearance rate at 48 weeks. Multivariate COX proportional hazards model analysis showed that HBsAg quantification at 48 weeks ( HR = 0.364, 95% CI: 0.176-0.752, P = 0.006) was an independent predictor of HBsAg clearance with a prolonged course to 96 weeks of Peg-IFN-α treatment. Conclusion:The HBsAg clearance rate can be accurately predicted with baseline HBsAg quantification combined with a 24-week drop in HBsAg level in patients with CHB who are treated with a sequential combination of NAs and Peg-IFN-α therapy for 48 weeks. Prolonging the course of Peg-IFN-α treatment can enhance the HBsAg clearance rate's capability. An independent predictor of HBsAg clearance is HBsAg quantification at 48 weeks of sequential combination therapy with a prolonged course of 96 weeks of Peg-IFN-α treatment.

Objective:To systematically review the severe risk in common chronic diseases and coronavirus disease 2019 (COVID-19) cases.Methods:PubMed, Embase, Cochrane Library, China National Knowledge Infrastructure, Wanfang Database, China Biology Medicine disc, medRxiv, SSRN and ChinaXiv were searched for clinical and epidemiological studies that reported chronic diseases in patients with COVID-19. Only studies of severe COVID-19 in comparison with non-severe controls were included. The prevalence rates of chronic diseases including chronic obstructive pulmonary disease (COPD), diabetes mellitus, hypertension, malignant tumor, cardiovascular diseases, cerebrovascular disease, chronic kidney disease, and chronic liver disease were estimated. Pooled odds ratio ( OR) with 95% confidence interval ( CI) between patients with severe COVID-19 and non-severe groups were calculated. R 3.6.3 software was used for meta-analysis. Results:The search yielded 2 455 articles. A total of 19 eligible comparative studies with 4 792 patients were included in a quantitative analysis. Meta-analysis showed that there was a proportion of 55.0% (95% CI 40.0%-80.0%) male among patients with COVID-19, and the overall pooled prevalence of any chronic diseases in COVID-19 cases was 30.4% (95% CI 24.0%-37.0%). The most prevalent comorbidity was hypertension (16.9%(95% CI 14.0%-20.0%)), followed by diabetes mellitus (8.3%(95% CI 8.0%-9.0%)). The proportion of male patients with severe COVID-19 was higher than that of male patients with non-severe COVID-19 (64.4% vs 52.8%, OR=1.49, 95% CI 1.08-2.05, Z=4.63, P<0.01). The prevalence rates of COPD, cerebrovascular disease, diabetes mellitus, chronic kidney disease, hypertension, cardiovascular diseases and malignant tumor in severe COVID-19 patients were higher than those of non-severe patients ( OR=5.77, 95% CI 3.80-8.74; OR=4.47, 95% CI 2.71-7.38; OR=3.55, 95% CI 2.86-4.40; OR=3.05, 95% CI=1.76-5.28; OR=2.82, 95% CI=1.96-3.97; OR=2.39, 95% CI=1.77-3.23; OR=2.15, 95% CI 1.27-3.66, respectively, Z=8.37, 6.01, 11.60, 4.20, 5.46, 5.71, 3.12, all P<0.01). There was no significant difference in the prevalence of chronic liver disease between severe and non-severe patients ( OR=1.35, 95% CI 0.84-2.17, P=0.11). Conclusion:COVID-19 patients with chronic diseases have higher risk of developing severe disease, and the ORs from high to low are COPD, cerebrovascular disease, diabetes mellitus, chronic kidney disease, hypertension, cardiovascular diseases and malignant tumor.

Objective:To observe the dynamic changes of serum RANTES during the treatment with nucleos(t)ide analogues combined with pegylated interferon alpha (peginterferon-α), and further analyze the predictive effect of RANTES on HBsAg clearance in patients with chronic hepatitis B.Methods:98 cases of chronic hepatitis B with quantitative HBsAg < 3 000 IU/ml and HBV DNA < 20 IU/ml after≥1 year NAs treatment were enrolled. Among them, 26 cases continued to receive NAs monotherapy, 72 cases received NAs combined with pegylated interferon alpha therapy. The changes in RANTES during treatment were observed. The receiver operating characteristic curve was used to analyze the early changes of RANTES to predict the HBsAg clearance during 48 weeks.Results:During 48 weeks, 15 cases (20.83%) had achieved HBsAg clearance in combination group, while no patient had achieved HBsAg clearance in NAs group. The overall serum RANTES level had decreased from baseline in NAs and combination group. At week 48, in the combination group, the serum RANTES level was decreased more significantly in patients with HBsAg clearance than patients without. Further analysis showed that, in combination group, HBsAg clearance rate of patients with serum RANTES decreased at week 12 and 24 was higher than patients with elevated (29.17% vs. 4.17%, P = 0.014; 28.00% vs. 4.55%, P = 0.052), and quantitative HBsAg reduction was larger significantly [(1.49 ± 1.26) log 10IU/ml vs. (0.73 ± 0.81) log 10IU/ml, P = 0.017; (1.54 ± 1.27) log 10IU/ml vs. (0.57 ± 0.56) log 10IU/ml, P = 0.004]. Receiver operating characteristic curve analysis showed that the baseline quantitative HBsAg and the reduction in quantitative HBsAg and serum RANTES during the early period were predictors of HBsAg clearance after 48-week combination therapy. Furthermore, the combination of baseline quantitative HBsAg and 12 - or 24-week reduction of serum RANTES were better predictors of HBsAg clearance than that of baseline quantitative HBsAg combined with HBsAg decrease at week 12 or 24. The area under the receiver operating characteristic curve of the former was 0.925 and 0.939, while that of the latter was 0.909 and 0.929, respectively. Conclusion:Early reduction of serum RANTES at week 12 and 24 can predict HBsAg loss in CHB patients receiving addition of peginterferon-α to ongoing NAs Therapy, so serum RANTES could be one of the key immunological markers for predicting HBsAg clearance.

Objective To explore the mechanism of lower molecular weight heparin(LMWH) in the treatment of severe acute pancreatitis(SAP). Methods Wistar rats were randomly divided into 3 groups: Sham group(S group),severe acute pancreatitis group(SAP group) and LMWH treatment group(H group). The serum amylase,IL-6,expressions of p65 mRNA and the activity of NF-?B were tested. Results The value of amylase and IL-6 in SAP group was significantly higher than that in H group (P