Objective To explore the efficiency improvement in segmenting neural network with the application of Transformer + U-Net artificial intelligence (AI) and modeling with the application of Python scripts in three-dimensional (3D) printing brachytherapy. Methods A Transformer + U-Net AI neural network model was constructed, and Adam optimizer was used to ensure rapid gradient descent. Computed tomography or magnetic resonance imaging data of patients were standardized and processed as self-made data sets. The training set was used to train AI and the optimal result weight parameters were saved. The test set was used to evaluate the AI ability. Python programming language was used to write an automated script to obtain the output segmentation image and convert it to the STL file for import. The source applicator and needle could be automatically modeled. The time of automatic segmentation and modeling and the time of manual segmentation and modeling were entered by two people, and the difference was verified by paired t-test. Results Dice similarity coefficient (DSC), mean intersection over union (MIOU), and Hausdorff distance (HD95) were used for evaluation. DSC was 0.9341, MIOU was 0.8762, and mean HD95 was 2.516. The mean time of manual segmentation was 1187 s, and the mean time of AI segmentation was 145 s (P < 0.01). The mean time of manual modeling was 321 s, and the mean time of modeling with Python automated scripts was 18 s (P < 0.01). Conclusion The application of Transformer + U-Net automatic segmentation and Python automated scripts can effectively improve work efficiency in the 3D printing brachytherapy for cervical cancer.

[This corrects the article DOI: 10.1016/j.apsb.2019.01.013.].

Azvudine and nirmatrelvir/ritonavir (Paxlovid) are recommended for COVID-19 treatment in China, but their safety and efficacy in the elderly population are not fully known. In this multicenter, retrospective, cohort study, we identified 5131 elderly hospitalized COVID-19 patients from 32,864 COVID-19 patients admitted to nine hospitals in Henan Province, China, from December 5, 2022, to January 31, 2023. The primary outcome was all-cause death, and the secondary outcome was composite disease progression. Propensity score matching (PSM) was performed to control for confounding factors, including demographics, vaccination status, comorbidities, and laboratory tests. After 2:1 PSM, 1786 elderly patients receiving azvudine and 893 elderly patients receiving Paxlovid were included. Kaplan-Meier and Cox regression analyses revealed that compared with Paxlovid group, azvudine could significantly reduce the risk of all-cause death (log-rank P = 0.002; HR: 0.71, 95% CI: 0.573-0.883, P = 0.002), but there was no difference in composite disease progression (log-rank P = 0.52; HR: 1.05, 95% CI: 0.877-1.260, P = 0.588). Four sensitivity analyses verified the robustness of above results. Subgroup analysis suggested that a greater benefit of azvudine over Paxlovid was observed in elderly patients with primary malignant tumors (P for interaction = 0.005, HR: 0.32, 95% CI: 0.18-0.57) compared to patients without primary malignant tumors. Safety analysis revealed that azvudine treatment had a lower incidence of adverse events and higher lymphocyte levels than Paxlovid treatment. In conclusion, azvudine treatment is not inferior to Paxlovid treatment in terms of all-cause death, composite disease progression and adverse events in elderly hospitalized COVID-19 patients.

Human respiratory syncytial virus (RSV) is a major cause of lower respiratory tract infections in infants and young children, as well as an important cause of respiratory tract infections in immunocompromised patients and the elderly, which poses a significant economic and social burden worldwide. In recent years, substantial progress has been made in understanding the structure and function of RSV proteins and the interactions between RSV with host factors which is helpful to the discovery of new therapeutic targets and the development of novel interventions. Although two vaccines and two monoclonal antibodies for RSV prevention have been approved, the antiviral treatment remains an unmet clinical need. In this review, we summarize the structure, protein functional properties, and pathological mechanisms of RSV and the current status of RSV drug development. In addition, remaining challenges and innovative ideas for RSV prevention and treatment have also been highlighted.

ObjectiveTo explore the mechanism of modified Liuwei Dihuangtang in preventing and treating renal injury in diabetic kidney disease （DKD） via the angiotensin-converting enzyme 1 （ACE1）/angiotensin Ⅱ （AngⅡ）/angiotensin Ⅱ type 1 receptor （AT1R） axis. MethodFifty male SD rats were randomized into a normal group （n=8） and a modeling group （n=42）. The rats in the modeling group were fed with a high-sugar and high-fat diet for 6 weeks and intraperitoneally injected with 35 mg·kg^-1 streptozotocin （STZ） to establish the model of DKD. After successful modeling， the rats were randomized into model， traditional Chinese medicine （modified Liuwei Dihuangtang granules 21 g·kg^-1）， western medicine （losartan potassium， 33 mg·kg^-1）， and integrated Chinese and western medicine （losartan potassium 33 mg·kg^-1 combined with modified Liuwei Dihuangtang granules 21 g·kg^-1） groups. The levels of fasting blood glucose （FBG）， urinary protein （Up）， blood urea nitrogen （Bun）， and serum creatinine （SCr） were measured in each group after 8 consecutive weeks of drug intervention. Enzyme-linked immunosorbent assay was employed to determine the serum levels of ACE1， AngⅡ， and AT1R. Western blot was employed to measure the protein levels of ACE1， AngⅡ， and AT1R in the renal tissue. The pathological and morphological changes of the renal tissue were observed after hematoxylin-eosin （HE） staining， Masson staining， and periodic acid Schiff 's （PAS） staining. The fecal samples of rats in each group were collected for 16S rDNA high-throughput sequencing. ResultCompared with the normal group， the model group showed elevated levels of Up， FBG， Bun， SCr， ACE1， AngⅡ， and AT1R （P<0.01）， serious lesions in the renal tissue， up-regulated protein levels of ACE1， AngⅡ， and AT1R （P<0.01）， increased Firmicutes/Bacteroidetes （F/B） ratio， decreased relative abundance of Lactobacillus， and increased relative abundance of Moralella and Bifidobacteria. Compared with the model group， drug intervention lowered the levels of Bun， SCr， ACE1， AngⅡ， and AT1R （P<0.01） and alleviated the pathological changes in the renal tissue. Chinese medicine and integrated Chinese and western medicine lowered the levels of Up and FBG （P<0.01）， and western medicine and integrated Chinese and western medicine down-regulated the protein levels of ACE1， AngⅡ， and AT1R. In addition， Chinese medicine down-regulated the protein levels of AngⅡ （P<0.01） as well as ACE1 and AT1R （P<0.05）. Chinese medicine and integrated Chinese and western medicine decreased the F/B ratio， and western medicine and Chinese medicine increased the relative abundance of Blautia. Chinese medicine and integrated Chinese and western medicine increased the relative abundance of Lactobacillus， Ruminococcus undetermined genera， and Bifidobacteria， decreased the relative abundance of Moralella， and increased the Chao 1 and Ace indexes （P<0.05）. Compared with the western medicine group， the integrated Chinese and western medicine group showed lowered levels of Up （P<0.01）， Bun （P<0.05）， and ACE1 and AT1R （P<0.01）， down-regulated protein levels of ACE1， AngⅡ， and AT1R （P<0.05）， alleviated pathological changes in the renal tissue， increased relative abundance of Bifidobacteria， and increased Chao 1 and Ace indexes （P<0.05）. ConclusionModified Liuwei Dihuangtang combined with losartan potassium can mitigate renal fibrosis by regulating the ACE1/AngⅡ/AT1R axis， increasing the relative abundance of Lactobacillus and Bifidobacterium， reducing the relative abundance of Moralella， improving the richness and evenness of intestinal flora， and alleviating pathological damage in the renal tissue.

Objective:To validate and compare the value of the Status Epilepticus in Pediatric Severity Score (STEPSS) versus PEDSS in assessing the short-term prognosis of children with status epilepticus (SE).Methods:Clinical data of 152 children with SE hospitalized at the First Affiliated Hospital of Zhengzhou University from January 2020 to December 2022 were retrospectively analyzed.According to the STEPSS and PEDSS scores, children with SE were scored and their prognosis was predicted.Receiver operating characteristic (ROC) curves of the 2 scales in assessing the short-term prognosis of SE in children were plotted, and the area under the curve (AUC), optimal cut-off, sensitivity and specificity were calculated, thus validating and comparing the value of the STEPSS versus PEDSS in assessing the short-term prognosis of children with SE.Results:Of the 152 children with SE, 90 were male and 62 were female, with the age of (5.8±3.9) years (1 month to 15 years). There were 112 cases with good prognosis and 40 cases with poor prognosis, involving 13 deaths.The AUC of STEPSS and PEDSS scores in predicting the death in children with SE were 0.908(95% CI: 0.848-0.967) and 0.887(95% CI: 0.831-0.942), respectively, both with the optimal cut-off value of 4.The sensitivity of STEPSS and PEDSS scores in predicting the death in children with SE were 0.740 and 0.846, respectively, and the specificity were 0.745 and 0.835, respectively.There was no significant difference in predicting the death in children with SE between the 2 scales ( P>0.05). In predicting adverse outcomes, the AUC of the STEPSS and PEDSS scores were 0.869(95% CI: 0.800-0.937) and 0.926(95% CI: 0.873-0.979), respectively, both with the optimal cut-off value of 3.The sensitivity of STEPSS and PEDSS scores in predicting adverse outcomes in children with SE were 0.827 and 0.900, respectively, and the specificity were 0.732 and 0.866, respectively.There was significant difference in predicting the adverse outcomes in children with SE between the 2 scales ( P<0.05). Conclusions:Compared with the STEPSS, the PEDSS has a higher application in predicting the short-term treatment outcome of children with SE, which can be used as a routine method to assess the prognosis of children with SE.

Objective:To understand the epidemiological characteristics and incidence trend of severe fever with thrombocytopenia syndrome (SFTS) in China.Methods:The incidence data of SFTS in China from 2018 to 2021 were collected from Chinese Disease Prevention and Control Information System for a statistical and descriptive epidemiological analysis by using software such as Excel 2016, Joinpoint 5.0.2, SPSS 26.0, and GraphPad Prism 8.0, especially, the SFTS cases reported monthly by key provinces were analyzed.Results:From 2018 to 2021, a total of 8 835 SFTS cases were reported in 25 provinces and the annual incidence showed an upward trend. The distribution of SFTS cases showed clustering, but the cases were mainly sporadic ones. The cases began to increase in March, mainly occurred during April to October (96.79%,8 551/8 835), and peaked during May to July. The cases were mainly distributed in middle-aged and old farmers, and slight more cases were women. The average case fatality rate was 5.38%, which varied greatly with areas. The case fatality rate tended to increase with age.Conclusion:From 2018 to 2021, the epidemiological characteristics of SFTS in China remained stable, but the number of reported cases gradually increased and the distribution showed an expanding trend, to which close attention should be paid.

BACKGROUND:Sepsis is one of the main causes of mortality in intensive care units(ICUs).Early prediction is critical for reducing injury.As approximately 36%of sepsis occur within 24 h after emergency department(ED)admission in Medical Information Mart for Intensive Care(MIMIC-IV),a prediction system for the ED triage stage would be helpful.Previous methods such as the quick Sequential Organ Failure Assessment(qSOFA)are more suitable for screening than for prediction in the ED,and we aimed to find a light-weight,convenient prediction method through machine learning. METHODS:We accessed the MIMIC-IV for sepsis patient data in the EDs.Our dataset comprised demographic information,vital signs,and synthetic features.Extreme Gradient Boosting(XGBoost)was used to predict the risk of developing sepsis within 24 h after ED admission.Additionally,SHapley Additive exPlanations(SHAP)was employed to provide a comprehensive interpretation of the model's results.Ten percent of the patients were randomly selected as the testing set,while the remaining patients were used for training with 10-fold cross-validation. RESULTS:For 10-fold cross-validation on 14,957 samples,we reached an accuracy of 84.1%±0.3%and an area under the receiver operating characteristic(ROC)curve of 0.92±0.02.The model achieved similar performance on the testing set of 1,662 patients.SHAP values showed that the five most important features were acuity,arrival transportation,age,shock index,and respiratory rate. CONCLUSION:Machine learning models such as XGBoost may be used for sepsis prediction using only a small amount of data conveniently collected in the ED triage stage.This may help reduce workload in the ED and warn medical workers against the risk of sepsis in advance.

Objective:To analyze the clinical data and genetic characteristics of a child with CLN1 neuronal ceroid lipofuscinosis in conjunct with hereditary hyperferritinemia cataract syndrome (HHCS).Methods:A child who was admitted to the PICU of the First Affiliated Hospital of Zhengzhou University in November 2020 was selected as the study subject. Clinical data of the child was collected. Genetic testing was carried out for the child, and the result was analyzed in the light of literature review to explore the clinical and genetic characteristics to facilitate early identification.Results:The patient, a 3-year-old male, had mainly presented with visual impairment, progressive cognitive and motor regression, and epilepsy. Cranial magnetic resonance imaging revealed deepened sulci in bilateral cerebral hemispheres, and delayed myelination. The activity of palmitoyl protein thioesterase was low (8.4 nmol/g/min, reference range: 132.2 ~ 301.4 nmol/g/min), whilst serum ferritin was increased (2 417.70 ng/mL, reference range: 30 ~ 400 ng/mL). Fundoscopy has revealed retinal pigment degeneration. Whole exome sequencing revealed that he has harbored c. 280A>C and c. 124-124+ 3delG compound heterozygous variants of the PPT1 gene, which were respectively inherited from his father and mother. Neither variant has been reported previously. The child has also harbored a heterozygous c. -160A>G variant of the FTL gene, which was inherited from his father. Based on the clinical phenotype and results of genetic testing, the child was diagnosed as CLN1 and HHCS. Conclusion:The compound heterozygous variants of the PPT1 gene probably underlay the disorders in this child. For children with CLN1 and rapidly progressing visual impairment, ophthalmological examination should be recommended, and detailed family history should be taken For those suspected for HHCS, genetic testing should be performed to confirm the diagnosis.

OBJECTIVE To analyze the compositional differences between Fructus Tritici Levis and Triticum aestivum， and to provide reference for identification and quality control of both. METHODS Twenty batches of Fructus Tritici Levis and three batches of T. aestivum were collected， and their fingerprints were acquired by high-performance liquid chromatography and the similarities were evaluated by the Evaluation System of Similarity of Chromatographic Fingerprints of Traditional Chinese Medicine （2012 version）. Cluster analysis （CA）， principal component analysis （PCA） and orthogonal partial least squares-discriminant analysis （OPLS-DA） were performed to analyze the difference of Fructus Tritici Levis and T. aestivum from different regions， and the differential components were screened. The contents of the six identified components in Fructus Tritici Levis and T. aestivum were determined. RESULTS The similarities of the fingerprints of Fructus Tritici Levis ranged from 0.928 to 0.996， and the relative similarities of T. aestivum with Fructus Tritici Levis ranged from 0.761 to 0.773. A total of 19 common peaks were calibrated， and six components including linolenic acid， linoleic acid， 5-heptadecylresorcinol， 5-nonadodecylresorcinol， 5- heneicosylresorcinol， and 5-tricosylresorcinol were identified. The results of CA and PCA showed that Fructus Tritici Levis and T. aestivum could be clearly distinguished； the distribution of Fructus Tritici Levis from Anhui province was relatively concentrated. The results of OPLS-DA showed that linolenic acid， linoleic acid， and other six unknown compounds were the differential components between Fructus Tritici Levis and T. aestivum. The average contents of the six identified components in Fructus Tritici Levis were 0.100 9， 1.094 0， 0.005 1， 0.030 9， 0.098 2，and 0.024 8 mg/g， respectively； the contents of linolenic acid and linoleic acid in Fructus Tritici Levis were significantly higher than those in T. aestivum （P＜0.05）.CONCLUSIONS The established qualitative and quantitative methods are simple and reliable， and can be used for the identification and quality evaluation of Fructus Tritici Levis and T. aestivum. The identified differential components， such as linolenic acid and linoleic acid， can also provide clues for the differentiation and pharmacological study of Fructus Tritici Levis and T. aestivum.