Objective To analyze the trends in the disease burden of schistosomiasis in China from 1992 to 2021, and to project the disease burden of schistosomiasis in China from 2022 to 2030, so as to provide insights into the elimination of schistosomiasis in China. Methods The prevalence, age-standardized prevalence, disability-adjusted life year (DALYs) rate and age-standardized DALYs rate of schistosomiasis, as well as the years lost due to disability (YLDs) rate and age-standardized YLDs rate of anemia attributable to Schistosoma infections in China, the world and different socio-demographic index (SDI) regions were captured from the Global Burden of Disease Study 2021 (GBD 2021) data resources, and the trends in the disease burden due to schistosomiasis were evaluated with estimated annual percentage change (EAPC) and its 95% confidence interval (CI). In addition, the age, period and cohort effects on the prevalence of schistosomiasis were examined in China using an age-period-cohort (APC) model, and the disease burden of schistosomiasis was predicted in China from 2022 to 2030 using a Bayesian age-period-cohort (BAPC) model. Results The age-standardized prevalence and DALYs rate of schistosomiasis, and the age-standardized YLDs rate of anemia attributable to Schistosoma infections were 761.32/10⁵, 5.55/10⁵ and 0.38/10⁵ in China in 2021. These rates were all lower than the global levels (1 914.30/10⁵, 21.90/10⁵ and 3.36/10⁵, respectively), as well as those in the medium SDI regions (1 413.61/10⁵, 12.10/10⁵ and 1.93/10⁵, respectively), low-medium SDI regions (2 461.03/10⁵, 26.81/10⁵ and 4.48/10⁵, respectively), and low SDI regions (5 832.77/10⁵, 94.48/10⁵ and 10.65/10⁵, respectively), but higher than those in the high SDI regions (59.47/10⁵, 0.49/10⁵ and 0.05/10⁵, respectively) and high-medium SDI regions (123.11/10⁵, 1.20/10⁵ and 0.12/10⁵, respectively). The prevalence and DALYs rate of schistosomiasis were higher among men (820.79/10⁵ and 5.86/10⁵, respectively) than among women (697.96/10⁵ and 5.23/10⁵, respectively) in China in 2021, while the YLDs rate of anemia attributable to Schistosoma infections was higher among women (0.66/10⁵) than among men (0.12/10⁵). The prevalence of schistosomiasis peaked at ages of 30 to 34 years among both men and women, while the DALYs rate of schistosomiasis peaked among men at ages of 15 to 19 years and among women at ages of 20 to 24 years. The age-standardized prevalence of schistosomiasis showed a moderate decline in China from 1992 to 2021 relative to different SDI regions [EAPC = -1.51%, 95% CI: (-1.65%, -1.38%)], while the age-standardized DALYs rate [EAPC = -3.61%, 95% CI: (-3.90%, -3.33%)] and age-standardized YLDs rate of anemia attributable to Schistosoma infections [EAPC = -4.16%, 95% CI: (-4.38%, -3.94%)] appeared the fastest decline in China from1992 to 2021 relative to different SDI regions. APC modeling showed age, period, and cohort effects on the trends in the prevalence of schistosomiasis in China from 1992 to 2021, and the prevalence of schistosomiasis appeared a rise followed by decline with age, and reduced with period and cohort. BAPC modeling revealed that the age-standardized prevalence and age-standardized DALYs rate of schistosomiasis, and age-standardized YLDs rate of anemia attributable to Schistosoma infections all appeared a tendency towards a decline in China from 2022 to 2030, which reduced to 722.72/10⁵ [95% CI: (538.74/10⁵, 906.68/10⁵)], 5.19/10⁵ [95% CI: (3.54/10⁵, 6.84/10⁵)] and 0.30/10⁵ [95% CI: (0.21/10⁵, 0.39/10⁵)] in 2030, respectively. Conclusions The disease burden of schistosomiasis appeared a tendency towards a decline in China from 1992 to 2021, and is projected to appear a tendency towards a decline from 2022 to 2030. There are age, period and cohort effects on the prevalence of schistosomiasis in China. Precision schistosomiasis control is required with adaptations to current prevalence and elimination needs.

Objective To investigate the effect of endoscopic prebiopsy forceps on the detection rate of polyps in the right semicolon.Method Clinical data of 148 patients diagnosed and treated from March 2022 to December 2022 who were detected as polyps in the right semicolon by general electronic colonoscopy were collected,and clinical data of the patients who underwent endoscopic prebiopsy forceps were re-examined and the patients underwent endoscopic treatment within 1 month.The differences in general data,polyp number detected,polyp size,morphology and pathological diagnosis between the two groups were analyzed and compared.Results 168 polyps were detected in the right semicolon in the general colonoscopy group,and 41 polyps were missed in reexamination using endoscopic prebiopsy forceps,with a missed diagnosis rate of 19.62%.The detection rate of<5 mm polyps was higher in the endoscopic prebiopsy forceps group than that of general colonoscopy group,the difference was statistically significant(P<0.05).The polyps in the two groups were mainly wide-basal type,and the pathological properties were mainly tubular adenoma,there was no statistical significance among all groups(P>0.05).No complications such as bleeding and perforation occurred in the two groups.Conclusion Endoscopic prebiopsy forceps can significantly improve the detection rate of polyps in the right semicolon,in particular,the intraoperative search for disappeared preoperatively identified intestinal polyps,as well as smaller diameter intestinal polyps,which is worthy of further clinical promotion.

Objective:Glioblastoma(GBM)and brain metastases(BMs)are the two most common malignant brain tumors in adults.Magnetic resonance imaging(MRI)is a commonly used method for screening and evaluating the prognosis of brain tumors,but the specificity and sensitivity of conventional MRI sequences in differential diagnosis of GBM and BMs are limited.In recent years,deep neural network has shown great potential in the realization of diagnostic classification and the establishment of clinical decision support system.This study aims to apply the radiomics features extracted by deep learning techniques to explore the feasibility of accurate preoperative classification for newly diagnosed GBM and solitary brain metastases(SBMs),and to further explore the impact of multimodality data fusion on classification tasks. Methods:Standard protocol cranial MRI sequence data from 135 newly diagnosed GBM patients and 73 patients with SBMs confirmed by histopathologic or clinical diagnosis were retrospectively analyzed.First,structural T1-weight,T1C-weight,and T2-weight were selected as 3 inputs to the entire model,regions of interest(ROIs)were manually delineated on the registered three modal MR images,and multimodality radiomics features were obtained,dimensions were reduced using a random forest(RF)-based feature selection method,and the importance of each feature was further analyzed.Secondly,we used the method of contrast disentangled to find the shared features and complementary features between different modal features.Finally,the response of each sample to GBM and SBMs was predicted by fusing 2 features from different modalities. Results:The radiomics features using machine learning and the multi-modal fusion method had a good discriminatory ability for GBM and SBMs.Furthermore,compared with single-modal data,the multimodal fusion models using machine learning algorithms such as support vector machine(SVM),Logistic regression,RF,adaptive boosting(AdaBoost),and gradient boosting decision tree(GBDT)achieved significant improvements,with area under the curve(AUC)values of 0.974,0.978,0.943,0.938,and 0.947,respectively;our comparative disentangled multi-modal MR fusion method performs well,and the results of AUC,accuracy(ACC),sensitivity(SEN)and specificity(SPE)in the test set were 0.985,0.984,0.900,and 0.990,respectively.Compared with other multi-modal fusion methods,AUC,ACC,and SEN in this study all achieved the best performance.In the ablation experiment to verify the effects of each module component in this study,AUC,ACC,and SEN increased by 1.6%,10.9%and 15.0%,respectively after 3 loss functions were used simultaneously. Conclusion:A deep learning-based contrast disentangled multi-modal MR radiomics feature fusion technique helps to improve GBM and SBMs classification accuracy.

With the emergence of DNA nanotechnology in the 1980s, self-assembled DNA nanostructures have attracted considerable attention worldwide due to their inherent biocompatibility, unsurpassed programmability, and versatile functions. Especially promising nanostructures are tetrahedral framework nucleic acids (tFNAs), first proposed by Turberfield with the use of a one-step annealing approach. Benefiting from their various merits, such as simple synthesis, high reproducibility, structural stability, cellular internalization, tissue permeability, and editable functionality, tFNAs have been widely applied in the biomedical field as three-dimensional DNA nanomaterials. Surprisingly, tFNAs exhibit positive effects on cellular biological behaviors and tissue regeneration, which may be used to treat inflammatory and degenerative diseases. According to their intended application and carrying capacity, tFNAs could carry functional nucleic acids or therapeutic molecules through extended sequences, sticky-end hybridization, intercalation, and encapsulation based on the Watson and Crick principle. Additionally, dynamic tFNAs also have potential applications in controlled and targeted therapies. This review summarized the latest progress in pure/modified/dynamic tFNAs and demonstrated their regenerative medicine applications. These applications include promoting the regeneration of the bone, cartilage, nerve, skin, vasculature, or muscle and treating diseases such as bone defects, neurological disorders, joint-related inflammatory diseases, periodontitis, and immune diseases.
Nucleic Acids/chemistry* ; Regenerative Medicine ; Consensus ; Reproducibility of Results ; DNA/chemistry*

The early accurate diagnosis of burn depth is of great significance in determining the corresponding clinical intervention methods and judging the prognosis quality of burn patients. However, the current diagnostic method of burn depth still relies mainly on the empirical subjective judgment of clinicians, with low diagnostic accuracy. Especially for deep partial-thickness burn wounds, the error of early diagnosis is pretty big. In recent years, with the rapid development of artificial intelligence technology, deep learning algorithm combined with image analysis technology can better identify and analyze the information of medical images. This article reviews the research progress of artificial intelligence technology in the diagnosis of burn depth.

Artificial intelligence has been able to automatically learn and judge large-scale data to some extent. Based on database of a large amount of burn data and in-depth learning, artificial intelligence can assist burn surgeons to evaluate burn surface, diagnose burn depth, guide fluid supply during shock stage, and predict prognosis, with high accuracy. With the development of technology, artificial intelligence can provide more accurate information for burn surgeons to make clinical diagnosis and treatment strategies.

Growth factors play critical roles in the process of wound healing. Application of growth factor locally is a good way of promoting wound healing, while it is easy to be hydrolyzed in wounds and its efficacy has dose- and time-dependent manner. Therefore, appropriate growth factor delivery system is needed to assist it to function in wounds. In addition to delivering growth factor directly to wounds, viral and non-viral vectors can be used for gene transfection of growth factor in wounds. The gene can be transformed to growth factor to promote wound healing by transcription and translation. This article reviews the advances in the research of delivery system of growth factor and the gene for promoting wound healing.

Objective To investigate the effects of rTMS stimulation in different brain regions combined with paroxetine on treating patients with obsessive -compulsive disorders. Methods Outpatients and inpatients with obsessive-compulsive disorder(OCD) treated at Kangning Hospital of Ningbo province from March 2015 to December 2016 were collected. Patients were randomly divided into control group(29 cases), treatment group 1(30 cases) and treatment group 2(30 cases). Patients in control group were treated with paroxetine only. Patients in treatment group 1 received rTMS stimulation of right prefrontal lobe combined with paroxetine systemic treatment. Patients in treatment group 2 received rTMS stimulation of bilateral supplementary motor area with paroxetine treatment. Obsessive -compulsive idea and behavior were assessed using Y-BOCS before treatment and 1, 2, 4, 6, 8 weeks after treatment. Adverse reaction was assessed after treatment with TESS. Results The Y-BOCS score of the control group decreased significantly at the 6th and the 8th week of treatment compared with before (P＜0. 05). The Y-BOCS score of the treatment group 1 and group 2 were significantly lower at 4, 6 and 8 weeks of treatment than that of the control group (P＜0. 05). The Y-BOCS scores of treatment group 1 and group 2 were significantly lower after 4 weeks of treatment than those before treatment (P＜0. 05). Conclusion rTMS stimulation of the right prefrontal lobe and bilateral supplementary motor area combined with paroxetine in the treatment of obsessive -compulsive disorder has consistent efficacy and take effect rapidly with minor adverse reactions.

Objective:To compare the clinical effect of domestic and imported omeprazole injection in the treatment of peptic ulcer bleeding.Methods:According to the random sequence generated by the computer,118 patients who were treated in digestive department of our hospital from April 2013 to May 2015 were randomly divided into 2 groups,59 cases in each group.The control group was given treatment of imported drug losec,while the study group was given treatment of domestic drug aoxikang,and two groups were treated continuously for 7 days.The incidences of gastrointestinal reactions,dizziness and palpitations,the average treatment time,and clinical therapeutic effects were compared,in addition,the costs of treatment in the two groups were analyzed.Results:There were no significant differences in the incidences of gastrointestinal reactions,dizziness and palpitations and the average treatment time between the study group and the control group (P＞0.05).There was no significant difference between the two groups in the treatment effect after rank sum test (P＞0.05).The total effective rates (96.61％ vs 94.91％) were equivalent,the differences were not statistically significant (P＞0.05),but the costs of using domestic drugs were lower than that of imported drugs.Conclusion:The clinical curative effects of domestic aoxikang and imported losec in treatment of peptic ulcer bleeding have no significant difference,which can have a good therapeutic effect,but the economy of aoxikang is more better.

As a new technology, three-dimensional printing possesses the characteristics of high precision and strong controllability, which has become a new technology and can be used in tissue engineering. Currently, using three-dimensional printing to build artificial skin has made certain achievement, and experiments in vitro have confirmed that the three-dimensional printing has the possibilities to build artificial skin whose structure and function are close to those of nature skin. However, the technology is not yet very mature and there are still some problems need to be solved, such as the recreation of the cutaneous appendages and the degradation and absorption of the extracellular matrix.