Objective To establish a hybrid deep learning lung sound classification model based on convolutional neural network(CNN)-long short-term memory(LSTM)for electronic auscultation.Methods Wavelet transform was used to extract features from the dataset,transforming lung sound signals into energy entropy,peak value and other features.On this basis,a classification model based on hybrid algorithm incorporating CNN and LSTM neural network was constructed.The features extracted by wavelet transform were input into CNN module to obtain the spatial features of the data,and then the temporal features were detected through LSTM module.The fusion of the two types of features enabled the classification of lung sounds through the model,thereby assisting in the diagnosis of pulmonary diseases.Results The accuracy rate and F1 score of CNN-LSTM hybrid model were significantly higher than those of other single models,reaching 0.948 and 0.950.Conclusion The proposed CNN-LSTM hybrid model demonstrates higher accuracy and more precise classification,showcasing broad potential application value in intelligent auscultation.

Objective To propose a method for mitigate the impact of anomaly points(such as dust,bubbles,scratches on the chip surface,and minor indentations)in images on the results of digital droplet PCR(ddPCR)detection to achieve high-throughput,stable,and accurate detection.Methods We propose a Filter Faster R-CNN ddPCR detection model,which employs Faster R-CNN to generate droplet prediction boxes followed by removing the anomalies within the positive droplet prediction boxes using an outlier filtering module(Filter).Using a plasmid carrying a norovirus fragment as the template,we established a ddPCR dataset for model training(2462 instances,78.56%)and testing(672 instances,21.44%).Ablation experiments were performed to test the effectiveness of 3 filtering branches of the Filter for anomaly removal on the validation dataset.Comparative experiments with other ddPCR droplet detection models and absolute quantification experiments of ddPCR were conducted to assess the performance of the Filter Faster R-CNN model.Results In low-dust and dusty environments,the Filter Faster R-CNN model achieved detection accuracies of 98.23%and 88.35%for positive droplets,respectively,with composite F1 scores reaching 99.15%and 99.14%,obviously superior to the other models.The introduction of the filtering module significantly enhanced the positive accuracy of the model in dusty environments.In the absolute quantification experiments,a regression line was plotted using the results from commercial flow cytometry equipment as the standard concentration.The results show a regression line slope of 1.0005,an intercept of-0.025,and a determination coefficient of 0.9997,indicating high consistency between the two results.Conclusion The ddPCR detection technique using the Filter Faster R-CNN model provides a robust detection method for ddPCR under various environmental conditions.

Objective To propose a method for mitigate the impact of anomaly points(such as dust,bubbles,scratches on the chip surface,and minor indentations)in images on the results of digital droplet PCR(ddPCR)detection to achieve high-throughput,stable,and accurate detection.Methods We propose a Filter Faster R-CNN ddPCR detection model,which employs Faster R-CNN to generate droplet prediction boxes followed by removing the anomalies within the positive droplet prediction boxes using an outlier filtering module(Filter).Using a plasmid carrying a norovirus fragment as the template,we established a ddPCR dataset for model training(2462 instances,78.56%)and testing(672 instances,21.44%).Ablation experiments were performed to test the effectiveness of 3 filtering branches of the Filter for anomaly removal on the validation dataset.Comparative experiments with other ddPCR droplet detection models and absolute quantification experiments of ddPCR were conducted to assess the performance of the Filter Faster R-CNN model.Results In low-dust and dusty environments,the Filter Faster R-CNN model achieved detection accuracies of 98.23%and 88.35%for positive droplets,respectively,with composite F1 scores reaching 99.15%and 99.14%,obviously superior to the other models.The introduction of the filtering module significantly enhanced the positive accuracy of the model in dusty environments.In the absolute quantification experiments,a regression line was plotted using the results from commercial flow cytometry equipment as the standard concentration.The results show a regression line slope of 1.0005,an intercept of-0.025,and a determination coefficient of 0.9997,indicating high consistency between the two results.Conclusion The ddPCR detection technique using the Filter Faster R-CNN model provides a robust detection method for ddPCR under various environmental conditions.

Concurrent chemoradiotherapy (CCRT) refers to the simultaneous treatment of chemotherapy and radiotherapy, and the effect of radiotherapy is enhanced with low-dose chemotherapy, which can reduce tumor recurrence and metastasis and improve clinical prognosis of patients. At present, the main factors for the increase of radiosensitivity of concurrent chemotherapy is that concurrent chemotherapy prevents the repair of tumor cells, and chemotherapy and radiotherapy act on different cell cycles and have synergistic effects. However, even for patients with locally advanced cervical cancer (LACC) who have undergone CCRT, the 5-year survival rate is only 60%, which is still not ideal. In order to improve the efficacy, researchers have conducted a series of exploratory studies, which consist of the combination of targeted drugs and immunodrugs, and neoadjuvant regimens before CCRT, etc. Although targeted or immunologic drugs are effective treatment of LACC, in view of the lack of large-scale evidence-based medical evidence, multi-center prospective and randomized phase III clinical trials and high-level articles are needed to improve the level of evidence-based medicine. This consensus summarizes several key evidence-based medical studies published recently, especially the clinical research progress in targeted and immunological therapies, providing reference for domestic peers.

Objective To analyze the causal relationship between serum sex steroid hormone levels and myopia with the Mendelian randomization(MR)methods.Methods Sex hormone genetic tools classified by sex were publicly availa-ble summarized statistical data from the Genome-wide association study(GWAS)of the UK Biobank Consortium on sex hormone-binding globulin(SHBG),total testosterone(TT),bioavailable testosterone(BT),and estradiol(E2).The GWAS summarized statistical data for myopia were obtained from publicly available data published by the FinnGen Consorti-um R10.All data were downloaded from April 18 to April 31,2024 from the corresponding databases and analyzed.All re-sults from the MR study were mainly analyzed by inverse-variance weighting(IVW)method.Results The study showed that a higher serum SHBG level in European increased the risk of myopia development in women(IVW,OR=1.152,95％CI:1.014-1.308,P=0.029);low serum TT level(IVW,OR=0.821,95％CI:0.697-0.967,P=0.018)and serum BT lev-el(IVW,OR=0.820,95％CI:0.691-0.972,P=0.022)increased the risk of myopia development in women.There was no causal relationship between serum SHBG,TT,and BT levels and myopia in men.There was no causal effect between E2 level and myopia in women and men.The stability of our findings was supported by sensitivity analysis.Conclusion In-creased serum SHBG level and decreased serum TT and BT levels are associated with an increased risk of myopia in women,whereas no such association is found in men.There is no causal relationship between E2 and myopia.

Objective:To assess the effectiveness and feasibility of carrier detection for Spinal muscular atrophy (SMA) by using digital PCR assay.Methods:Peripheral blood samples were collected from 214 pregnant women who were routinely screened for SMA carriers, of which 204 were randomly selected samples and 10 were samples with known copy numbers of SMN1 exons 7 and 8. Samples with known copy numbers of SMN1 exons 7 and 8 were randomly mixed into the experiment to validate the performance of the digital PCR assay. The copy numbers of SMN1 exons 7 and 8 and SMN2 exons 7 and 8 in peripheral blood samples were detected by digital PCR assay. The results of SMN1 exons 7 and 8 were compared with those of the quantitative PCR method to assess the reliability and clinical performance of the digital PCR assay. Results:Among the 204 random samples, digital PCR has detected five samples with simultaneous heterozygous deletion of SMN1 exons 7 and 8, three samples with heterozygous deletion of SMN1 exon 8 only, and 196 samples with no deletion of SMN1 exons 7 and 8. Ten samples with known SMN1 exons 7 and 8 copy numbers were detected with the expected values. The digital PCR test results were fully consistent with that of the quantitative PCR. Conclusion:The results of digital PCR for the detection of copy number variation of SMN1 exons 7 and 8 were consistent with qPCR. Digital PCR assay was able to clearly distinguish the copy number of the target genes, therefore can be used for SMA carrier screening. Moreover, it can also detect copy number of SMN2 exons 7 and 8, which can provide more information for genetic counseling.

Objective:To assess the diagnostic performance of serum anti-toxocara immunoglobulin G (anti-T-IgG) in ocular toxocariasis (OT) patients.Methods:A diagnostic tests. A total of 109 patients (109 eyes) with clinically-suspected OT who treated in Department of Ophthalmology of Xuzhou First People’s Hospital from June 2015 to December 2022 were included. Patients were divided into two groups, 76 with OT and 33 with non-OT, according to the clinical manifestations and Goldmann-Witmer coefficient. Paired serum and intraocular fluid samples from each patient were collected and analyzed for specific anti-T-IgG using enzyme linked immunosorbent assay. Mann-Whitney test was performed for comparison between groups. The area under the receiver operating characteristic curve (ROC) was used to assess the diagnostic performance of serum anti-T-IgG. Kappa analysis was performed to examine the consistency of serum or intraocular fluid anti-T-IgG positive rate with OT diagnostic result. Spearman’s rank correlation test was performed to assess the association.Results:Compared with the non-OT group, the proportions of children and history of exposure to cats and dogs ( χ2=9.785, 12.026) were significantly higher in OT group, and the differences were statistically significant ( P<0.01). The positive rate ( χ2=24.551) and U value ( Z=-4.379) of serum anti-T-IgG in OT group were higher than those in non-OT group, and the differences were statistically significant ( P<0.000 1). The recommended serum anti-T-IgG cut-off value of 11 U had 0.72 sensitivity, 0.79 specificity, 0.89 positive predictive value, 0.55 negative predictive value, and 0.77 area under the ROC with 95% confidence interval ( CI) 0.669-0.860. Correlation analysis showed that serum anti-T-IgG was positively correlated with intraocular fluid anti-T-IgG ( r s=0.520, 95% CI 0.363-0.648, P<0.000 1). The Kappa values of serum and intraocular fluid anti-T-IgG positive rate with OT diagnosis were 0.457 (95% CI 0.292-0.622) and 0.711 (95% CI 0.582-0.840), respectively. The Kappa value of serum anti-T-IgG positive rate with OT diagnosis was lower than that of intraocular fluid. Conclusion:The sensitivity and specificity of serum anti-T-IgG and the consistency between serum anti-T-IgG positive rate and OT diagnosis are low, suggesting that serum anti-T-IgG level cannot be used as a basis for OT diagnosis.

ObjectiveTo establish the specific chromatogram and thin layer chromatography（TLC） identification method of Kaixinsan（KXS） samples， in order to clarify the key quality attributes and provide reference for the quality evaluation of KXS. MethodHigh performance liquid chromatography（HPLC） specific chromatogram of KXS was developed with YMC Hydrosphere C₁₈ column（4.6 mm×250 mm， 5 μm）， the mobile phase was acetonitrile（A）-0.2% formic acid aqueous solution（B） for gradient elution（0-15 min， 2%-20%A； 15-25 min， 20%-25%A； 25-30 min， 25%-30%A； 30-45 min， 30%-31%A； 45-50 min， 31%-44%A； 50-65 min， 44%-45%A； 65-73 min， 45%-75%A； 73-95 min， 75%-100%A； 95-105 min， 100%A； 105-105.1 min， 100%-2%A； 105.1-120 min， 2%A）， the detection wavelength was 320 nm. Ultra high performance liquid chromatography-linear ion trap-electrostatic field orbitrap mass spectrometry（UHPLC-LTQ-Orbitrap MS） was used to identify the chemical components of KXS with electrospray ionization（ESI）， negative ion mode and scanning range of m/z 50-2 000. TLC identification methods for Poria and Ginseng Radix et Rhizoma in KXS were established. ResultThere were 11 common peaks in the specific chromatogram of KXS， attributed to Polygalae Radix， Poria and Acori Tatarinowii Rhizoma. Taking peak 9（α-asarone） as the reference peak， the relative standard deviations of the retention times of 15 batches of KXS samples were<0.2%. A total of 34 compounds were identified by UHPLC-LTQ-Orbitrap MS， including terpenoids， phenylpropanoids， oligosaccharides and ketones. The established TLC had good separation and was rapid， reliable， simple， feasible， suitable for the identification of Poria and Ginseng Radix et Rhizoma in KXS. ConclusionThe specific chromatogram and TLC of KXS are stable and reproducible. The material basis of KXS is basically clarified by MS， which can provide a reference for the development and quality control of KXS.

OBJECTIVE: To evaluate the current status of classification and repair methods for dural injury caused by spinal surgery or trauma, providing new strategies and ideas for the clinical repair of dural injury and the development of related materials. METHODS: The literature related to dural injury both at home and abroad in recent years was thoroughly reviewed and analyzed in order to draw meaningful conclusions. RESULTS: There have been numerous retrospective studies on dural injury, but there is a scarcity of prospective and multi-center studies, resulting in a low level of evidence-based research. The incidence and risk factors of dural injury have primarily been studied in relation to common degenerative spinal diseases of the cervical and lumbar spine, with insufficient research on thoracic spine-related diseases. Currently, a universally recognized method for grading and classifying dural injury has not been established, which hampers the development of clinical guidelines for their repair. Furthermore, although there are repair materials and surgical strategies available to address clinical issues such as suture leakage and surgical repair of dural injury in complex locations, there is a lack of comprehensive clinical research and evidence-based data to validate their scientificity and reliability. CONCLUSION Regardless of the classification of dural injury, suture remains the most important repair method. It is important to further develop new patches or sealants that can meet clinical needs and reduce the difficulty of repair.
Prospective Studies ; Reproducibility of Results ; Retrospective Studies ; Lumbar Vertebrae ; Lumbosacral Region

Objective:To retrospectively analyze the gender differences in the clinical characteristics and perioperative outcomes of patients with type A aortic dissection in our institution.Methods:From January 2019 to January 2020, total 405 patients underwent surgical treatment for type A aortic dissection at Beijing Anzhen Hospital, including extensive aortic repair (total aortic arch replacement combined with stenting elephant trunk implantation) and limited aortic repair. In the entire cohort, male 295 cases, female 110 cases. All measures in this study were expressed as ± s or median(quartiles) and analyzed by Student t test for variables or non- parametric tests; count data were expressed as frequencies and percentages and analyzed by χ2 test and Fisher exact probability test. Independent risk factors were analyzed by logistic multivariate regression. Results:Females were older than males[(53.3 ± 12.4)years old vs. (47.1 ± 11.0)years old, P<0.001] and had significantly higher proportion of diabetes(9.1% vs. 4.1%, P=0.047) and previous cerebrovascular disease (11.8% vs. 5.8%, P=0.038). Females had a lower proportion of total aortic arch replacement combined with elephant trunk implantation (64.5% vs. 82.7%, P<0.001), while aortic cross-clamp time[168.0(144.8, 201.5) minutes vs. 190.0 (163.0, 217.0) minutes, P<0.001] and CPB time[99.0 (79.8, 118.0) min vs. 107.0 (91.0, 126.0) min, P=0.006] were significantly shorter than males. Females had significantly higher rates of pulmonary infection (14.5% vs. 5.8%, P=0.004) and stroke than males (15.5% vs. 8.1%, P=0.030). The difference in the proportion of postoperative deaths between female and male TAAD patients was not statistically significant (3.6% vs. 7.8%). Logistics multivariable regression analysis found that female was an independent risk factor for postoperative stroke ( OR=2.574, 95% CI: 1.198-5.531, P=0.015) and pulmonary infection ( OR=2.610, 95% CI: 1.180-5.772, P=0.018). Conclusion:Gender did not affect mortality after TAAD repair significantly, but females increased the risk of stroke and pulmonary infection after TAAD surgery.