ObjectiveTo establish a regional risk assessment system for hospital-acquired infections in neurosurgery department of general hospital, and to evaluate its prevention and control effectiveness. MethodsFailure mode and effect analysis (FMEA) was used to identify the core risk factors for infections in neurosurgery department. The risk priority number (RPN) of each risk factor was calculated to determine the priority intervention targets. Targeted interventions were developed and continuously refined through the plan-do-check-act (PDCA) cycles. Data from January to June 2023 (control group) and July to December 2023 (intervention group) were collected to compare the differences in environmental hygiene monitoring qualification rate, incidence rate of hospital-acquired infections among inpatients, and detection rate of bacterial antimicrobial resistance. ResultsHigh-risk factors for hospital-acquired infections in neurosurgery department included patient-related risk factors, inadequate implementation of isolation measures for special infections, and poor compliance with surgical site infection (SSI) prevention protocols. After intervention, the environmental hygiene qualification rate significantly increased from 81.55% to 100.00% (χ²=120.49, P<0.001). The overall hospital-acquired infection rate among inpatients decreased from 2.62% to 2.45%, the infection rate of per case declined from 3.12% to 2.84%, and the detection rate of multidrug-resistant organism infections reduced from 43.72% to 36.79%. Additionally, antimicrobial utilization rate decreased from 48.75% to 42.53% (χ²=34.09, P<0.001). ConclusionThe FMEA-based risk assessment system can effectively identify critical infection risks in neurosurgery department, and targeted interventions can significantly improve infection prevention and control performance.

Objective To reveal the scientific output and trends in pulmonary nodules/early-stage lung cancer prediction models. Methods Publications on predictive models of pulmonary nodules/early lung cancer between January 1, 2002 and June 3, 2023 were retrieved and extracted from CNKI, Wanfang, VIP and Web of Science database. CiteSpace 6.1.R3 and VOSviewer 1.6.18 were used to analyze the hotspots and theme trends. Results A marked increase in the number of publications related to pulmonary nodules/early-stage lung cancer prediction models was observed. A total of 12581 authors from 2711 institutions in 64 countries/regions published 2139 documents in 566 academic journals in English. A total of 282 articles from 1256 authors were published in 176 journals in Chinese. The Chinese and English journals which published the most pulmonary nodules/early-stage lung cancer prediction model-related papers were Journal of Clinical Radiology and Frontiers in Oncology, respectively. Chest was the most frequently cited journal. China and the United States were the leading countries in the field of pulmonary nodules/early-stage lung cancer prediction models. The institutions represented by Fudan University had significant academic influence in the field. Analysis of keywords revealed that multi-omics, nomogram, machine learning and artificial intelligence were the current focus of research. Conclusion Over the last two decades, research on risk-prediction models for pulmonary nodules/early-stage lung cancer has attracted increasing attention. Prognosis, machine learning, artificial intelligence, nomogram, and multi-omics technologies are both current hotspots and future trends in this field. In the future, in-depth explorations using different omics should increase the sensitivity and accuracy of pulmonary nodules/early-stage lung cancer prediction models. More high-quality future studies should be conducted to validate the efficacy and safety of pulmonary nodules/early-stage lung cancer prediction models further and reduce the global burden of lung cancer.

Objective To investigate the prevalence of Schistosoma japonicum infections in wild rodents in schistosomiasis-endemic areas of China, so as to provide insights into formulation of technical guidelines for monitoring of and the precise control strategy for S. japonicum infections in wild rodents during the elimination phase. Methods Two administrative villages where schistosomiasis was historically highly prevalent were selected each from Dongzhi County, Anhui Province, and Duchang County, Jiangxi Province as study villages. Wild rodents were captured from study villages with baited traps or cages at night in June and September, 2021. The number of rodents captured was recorded, and the rodent species was characterized based on morphologi-cal characteristics. Liver tissues were sampled from captured rodents for macroscopical observation of the presence of egg granu- lomas, and S. japonicum infection was detected simultaneously using liver tissue homogenate microscopy, examinations of mesenteric tissues for parasites, and modified Kato-Katz thick smear technique (Kato-Katz technique). A positive S. japonicum infection was defined as detection of S. japonicum eggs or adult worms by any of these methods. The rate of wild rodent capture and prevalence of S. japonicum infections in wild rodents were compared in different study villages and at different time periods, and the detection of S. japonicum infections in wild rodents was compared by different assays. Results The overall rate of wild ro- dent capture was 8.28% (237/2 861) in Dongzhi County, and the wild rodent capture rates were 9.24% (133/1 439) and 7.31% (104/1 422) in two study villages (χ² = 3.503, P = 0.061), and were 8.59% (121/1 409) and 7.99% (116/1 452) in June and September, 2021, respectively (χ² = 0.337, P = 0.561). The overall rate of wild rodent capture was 3.72% (77/2 072) in Duchang County, and the wild rodent capture rates were 6.91% (67/970) and 0.91% (10/1 102) in two study villages (χ² = 51.901, P < 0.001), and were 4.13% (39/945) and 3.37% (38/1 127) in June and September, 2021, respectively (χ² = 0.815, P = 0.365). Rattus norvegicus was the predominant rodent species captured in both counties, accounting for 70.04% (166/237) of all captured wild rodents in Dongzhi County and 88.31% (68/77) in Duchang County. No S. japonicum infection was detected in wild rodents captured in Duchang County. Nevertheless, the overall prevalence of S. japonicum infections was 51.05% (121/237) in wild rodents captured in Dongzhi County, with prevalence rates of 50.38% (67/133) and 51.92% (54/104) in two study villages (χ² = 0.098, P = 0.755), and 54.31% (63/116) and 47.93% (58/121) in September and June, 2021, respectively (χ² = 0.964, P = 0.326). Of 237 wild rodents captured in Dongzhi County, there were 140 (59.07%) rodents with visible hepatic egg granulomas, 117 (49.47%) tested positive for S. japonicum eggs by liver tissue homogenate microscopy, 34 (14.35%) tested positive for S. japonicum eggs with Kato-Katz technique; however, no adult S. japonicum worms were detected in mesenteric tissues. In addition, hepatic egg granulomas were found in all wild rodents tested positive for S. japonicum eggs with liver tissue homogenate microscopy. Conclusions The rate of wild rodent capture and prevalence of S. japonicum infection in wild rodents vary greatly in schistosomiasis-endemic areas of China, and the prevalence of S. japonicum infection is slightly higher in wild rodents captured in autumn than in summer. Liver tissue is recommended as the preferred sample for surveillance of S. japonicum infection in wild rodents, and a combination of macroscopical observation of hepatic egg granulomas and liver tissue homogenate microscopy may be a standard method for surveillance of S. japonicum infection in wild rodents.

Objective: To evaluate the clinical efficacy of digitally guided precision crown lengthening in secondary aesthetic rehabilitation cases, and to provide a clinical reference for digitally guided crown lengthening procedures and secondary aesthetic restorations. Methods: We present a case of a patient with tetracycline-stained teeth, partial detachment of anterior resin veneers, and gingival margin discrepancies. The patient underwent digitally guided precision crown lengthening followed by secondary aesthetic rehabilitation. Multimodal data, including intraoral, facial, and CBCT scans, were integrated to construct a four-dimensional virtual patient model (incorporating teeth, face, bone, and occlusion) for surgical planning and 3D-printed guide fabrication. Secondary aesthetic restoration was performed after achieving stable post-surgical outcomes. Based on this case, we conducted a detailed analysis and reviewed relevant literature on crown lengthening in secondary aesthetic rehabilitation. Results: The gingival contour of the anterior teeth exhibited significant improvement, with enhanced symmetry and stable gingival margin positioning that closely matched the preoperative design. The crown lengthening procedure demonstrated high precision, and the final outcome was aesthetic and functional. Literature review indicated that secondary restorations frequently present challenges such as gingival contour discrepancies and inflammation. Aesthetic crown lengthening in the anterior region should optimize both soft and hard tissue morphology to meet aesthetic standards, with digital technology improving procedural accuracy. Conclusion Precision crown lengthening effectively addresses gingival margin discrepancies in secondary aesthetic rehabilitation, ensuring stable gingival positioning and superior aesthetic outcomes. This approach is particularly suitable for cases with high aesthetic demands.

Objective To analyze the differences in distribution of traditional Chinese medicine (TCM) syndrome elements and salivary microbiota between the individuals with pulmonary nodules and those without, and to explore the potential correlation between the distribution of TCM syndrome elements and salivary microbiota in patients with pulmonary nodules. Methods We retrospectively recruited 173 patients with pulmonary nodules (PN) and 40 healthy controls (HC). The four diagnostic information was collected from all participants, and syndrome differentiation method was used to analyze the distribution of TCM syndrome elements in both groups. Saliva samples were obtained from the subjects for 16S rRNA high-throughput sequencing to obtain differential microbiota and to explore the correlation between TCM syndrome elements and salivary microbiota in the evolution of the pulmonary nodule disease. Results The study found that in the PN group, the primary TCM syndrome elements related to disease location were the lung and liver, and the primary TCM syndrome elements related to disease nature were yin deficiency and phlegm. In the HC group, the primary TCM syndrome elements related to disease location were the lung and spleen, and the primary TCM syndrome elements related to disease nature were dampness and qi deficiency. There were differences between the two groups in the distribution of TCM syndrome elements related to disease location (lung, liver, kidney, exterior, heart) and disease nature (yin deficiency, phlegm, qi stagnation, qi deficiency, dampness, blood deficiency, heat, blood stasis) (P<0.05). The species abundance of the salivary microbiota was higher in the PN group than that in the HC group (P<0.05), and there was significant difference in community composition between the two groups (P<0.05). Correlation analysis using multiple methods, including Mantel test network heatmap analysis and Spearman correlation analysis and so on, the results showed that in the PN group, Prevotella and Porphyromonas were positively correlated with disease location in the lung, and Porphyromonas and Granulicatella were positively correlated with disease nature in yin deficiency (P<0.05). Conclusion The study concludes that there are notable differences in the distribution of TCM syndrome elements and the species abundance and composition of salivary microbiota between the patients with pulmonary nodules and the healthy individuals. The distinct external syndrome manifestations in patients with pulmonary nodules, compared to healthy individuals, may be a cascade event triggered by changes in the salivary microbiota. The dual correlation of Porphyromonas with both disease location and nature suggests that changes in its abundance may serve as an objective indicator for the improvement of symptoms in patients with yin deficiency-type pulmonary nodules.

Objective To construct a "disease-syndrome combination" mathematical representation model for pulmonary nodules based on oral microbiome data, utilizing a multimodal data algorithm framework centered on dynamic systems theory. Furthermore, to compare predictive models under various algorithmic frameworks and validate the efficacy of the optimal model in predicting the presence of pulmonary nodules. Methods A total of 213 subjects were prospectively enrolled from July 2022 to March 2023 at the Hospital of Chengdu University of Traditional Chinese Medicine, Sichuan Cancer Hospital, and the Chengdu Integrated Traditional Chinese and Western Medicine Hospital. This cohort included 173 patients with pulmonary nodules and 40 healthy subjects. A novel multimodal data algorithm framework centered on dynamic systems theory, termed VAEGANTF (Variational Auto Encoder-Generative Adversarial Network-Transformer), was proposed. Subsequently, based on a multi-dimensional integrated dataset of “clinical features-syndrome elements-microorganisms”, all subjects were divided into training (70%) and testing (30%) sets for model construction and efficacy testing, respectively. Using pulmonary nodules as dependent variables, and combining candidate markers such as clinical features, lesion location, disease nature, and microbial genera, the independent variables were screened based on variable importance ranking after identifying and addressing multicollinearity. Missing values were then imputed, and data were standardized. Eight machine learning algorithms were then employed to construct pulmonary nodule risk prediction models: random forest, least absolute shrinkage and selection operator (LASSO) regression, support vector machine, multilayer perceptron, eXtreme Gradient Boosting (XGBoost), VAE-ViT (Vision Transformer), GAN-ViT, and VAEGANTF. K-fold cross-validation was used for model parameter tuning and optimization. The efficacy of the eight predictive models was evaluated using confusion matrices and receiver operating characteristic (ROC) curves, and the optimal model was selected. Finally, goodness-of-fit testing and decision curve analysis (DCA) were performed to evaluate the optimal model. Results There were no statistically significant differences between the two groups in demographic characteristics such as age and sex. The 213 subjects were randomly divided into training and testing sets (7 : 3), and prediction models were constructed using the eight machine learning algorithms. After excluding potential problems such as multicollinearity, a total of 301 clinical feature information, syndrome elements, and microbial genera markers were included for model construction. The area under the curve (AUC) values of the random forest, LASSO regression, support vector machine, multilayer perceptron, and VAE-ViT models did not reach 0.85, indicating poor efficacy. The AUC values of the XGBoost, GAN-ViT, and VAEGANTF models all reached above 0.85, with the VAEGANTF model exhibiting the highest AUC value (AUC=0.923). Goodness-of-fit testing indicated good calibration ability of the VAEGANTF model, and decision curve analysis showed a high degree of clinical benefit. The nomogram results showed that age, sex, heart, lung, Qixu, blood stasis, dampness, Porphyromonas genus, Granulicatella genus, Neisseria genus, Haemophilus genus, and Actinobacillus genus could be used as predictors. Conclusion The “disease-syndrome combination” risk prediction model for pulmonary nodules based on the VAEGANTF algorithm framework, which incorporates multi-dimensional data features of “clinical features-syndrome elements-microorganisms”, demonstrates better performance compared to other machine learning algorithms and has certain reference value for early non-invasive diagnosis of pulmonary nodules.

Objective To construct and validate a prediction model for urosepsis in patients after upper urinary tract stone surgery using various machine learning algorithms.Methods A total of 7 464 upper urinary tract stone patients who underwent surgery at the Sixth Affiliated Hospital of Guangxi Medical University from Jun.2018 to Jun.2023 were enrolled and randomly assigned to training(5 224 cases)or validation sets(2 240 cases)at a ratio of 7∶3.Among them,622(8.33%)cases developed urosepsis postoperatively.Six machine learning algorithms,including extreme gradient boosting(XGBoost),logistic regression,light gradient boosting machine(LightGBM),random forest(RF),adaptive boosting(AdaBoost),and gradient boosting decision tree(GBDT),were used to construct prediction models for postoperative urosepsis.The model's predictive ability and clinical benefits were evaluated using receiver operating characteristic(ROC)curves,Shapley additive explanation(SHAP)analysis,calibration curves,and decision curve analysis(DCA).Results The clinical features included body mass index(BMI),number of surgeries,heart rate,Barthel index,venous thrombo embolism(VTE)risk assessment,gender,American Society of Anesthesiologists(ASA)grade,urinary nitrite,and urinary leukocyte in the models.In the training set,the XGBoost,LightGBM,and RF models performed excellently,with area under curve(AUC)values of ROC curves reaching 1.00.In the validation set,the logistic regression model performed the best,with an AUC value of ROC curve of 0.76,showing good predictive stability and calibration.The AdaBoost and GBDT models followed with AUC values of 0.74 and 0.75,respectively,while the AUC values of the LightGBM,XGBoost,and RF models were 0.71,0.70,and 0.68.In terms of model interpretability,SHAP analysis showed the contribution of variables in a descending order as:heart rate,urinary leukocytes,gender,BMI,Barthel index,VTE risk assessment,urinary nitrite,number of surgeries,and ASA grade.Conclusion A logistic regression model for early risk prediction of postoperative urosepsis in upper urinary tract stone patients has been successfully constructed.This model has good predictive performance and calibration,and can effectively assist clinical diagnosis.

Objective:To summarize the characteristics of color doppler flow imaging (CDFI) of ocular toxocariasis (OT) in children.Methods:A retrospective clinical study. From July 2014 to June 2020, 61 OT patients with 61 eyes diagnosed through clinical and laboratory testing in the Department of Ophthalmology of Beijing Tongren Hospital of Capital Medical University were included in the study. There were 45 males with 45 eyes and 16 females with 16 eye (male: female=2.81:1). Age were (6.93±2.50) years. The right eye and left eye were 29 and 32 eyes, respectively. Both eyes of the patient underwent two-dimensional ultrasound and CDFI examination. Two dimensional ultrasound was used to estimate the axial length (AL) of the affected eyes and healthy eyes on the opposite side. Among them, 52 cases were measured for AL using optical biometry and/or A-mode ultrasound. Vitreoretinal surgery was performed within one week after ultrasound examination. Two-dimensional ultrasound was used to observe the morphology of vitreous opacity, its connection to the eyeball wall, and whether posterior vitreous detachment and retinal detachment have occurred. CDFI examination was used to observe the presence of blood flow signals on the pathological membrane. The detection rates of different forms of vitreous opacity and traction retinal detachment were calculated. The location of proliferative lesions in the eye was analyzed. Paired t-test was performed to compare the AL of the affected eye and the healthy eye on the opposite side. Perform Kappa consistency test on the location of proliferative lesions was used during CDFI examination and vitreoretinal surgery. Results:All affected eyes have varying degrees of vitreous opacity. Among them, 23 eyes (37.7%, 23/61) showed typical "Christmas tree" like turbidity; 27 eyes (44.3%, 27/61) had clustered and striped echoes; 9 eyes (14.8%, 9/61) had weak punctate and strip echoes. Two eyes (3.3%, 2/61) showed a large amount of dense punctate and strip-shaped echoes. There were 50 eyes (82.0%, 50/61) with traction retinal detachment, of which 46 eyes (92.0%, 46/50) had visible blood flow signals on the detached retina, and the remaining 4 eyes (8.0%, 4/50) had no blood flow signals. During CDFI and surgery, there were 5 (8.2%, 5/61) and 4 (6.6%, 4/61) eyes with visible proliferative lesions in the periphery, respectively; 18 (29.5%, 18/61) and 14 (23.0%, 14/61) eyes were distributed in the posterior pole, respectively; there were 38 (62.3%, 38/61) and 43 (70.5%, 43/61) eyes with both peripheral and posterior polar regions, respectively. The consistency between CDFI and surgery in detecting the location of proliferative lesions was good ( κ=0.832, 95% confidence interval 0.691-0.973, P<0.001). The two-dimensional ultrasound measurement results showed that the AL of the affected eye was shorter than that of the contralateral healthy eye in 46 cases (75.4%, 46/61). Among the 52 patients who underwent AL biometry, the AL of the affected eye was shorter than that of the contralateral healthy eye by (0.63±0.68) mm, and the difference was statistically significant ( t=-6.738, P<0.05). Conclusions:CDFI can clearly display various intraocular lesions (vitreous opacity and traction retinal detachment) and eyeball sizes in children with OT. Vitreous opacity is often manifested as "Christmas tree" like, clustered, strip-shaped.

Objective:To compare the distribution differences of serum protein electrophoresis (SPE) among different gender and age individuals, and to explore the clinical application of SPE screening monoclonal gammopathy.Methods:A retrospective analysis was conducted based on the SPE results obtained from 533 989 cases enrolled from January 2018 to December 2019 at Zhongshan Hospital Affiliated to Fudan University. Among these patients, 435 479 inpatients were from departments of hematology, nephrology, spinal surgery, endocrinology, and rheumatology and immunology; and 98 510 were apparently healthy individuals. The distributions of albumin, α1 globulin, α2 globulin, β1 globulin, β2 globulin and γ globulin in different gender and age groups (≤20, 21-30, 31-40, 41-50, 51-60, 61-70, 71-80, 81-90, ≥91 years old) were compared. A total of 10 014 cases were selected by immunofixation electrophoresis (IFE). The positive detection rates of different SPE bands and IFE bands were analyzed. The sensitivity and specificity of SPE methods were determined according to IFE results as the gold standard.Results:No significant difference was examined in the proportion of SPE bands between different genders ( P>0.05). There were statistically significant differences in the proportion of albumin bands between apparently healthy individuals and hospitalized patients at different ages (apparently healthy individuals: F=5.12, P<0.05, inpatients: F=4.18, P<0.05), and all of them decreased with the increase of age. The proportion of γ globulin bands increased with age (apparently healthy individuals: F=1.34, P<0.05; inpatients: F=1.24, P<0.05). The sensitivity of SPE was 69% (2 098/3 051), and the specificity was 97% (6 721/6 963). Compared with IFE method, the positive detection rate of monoclonal gammopathy was significantly different (χ2=5 049.94, P<0.05). The positive rate of monoclonal gammopathy in γ globulin region (21.11%, 2 114/10 014) was higher than that in β globulin region (3.28%, 328/10 014) (χ2=90.74, P<0.05) and β-γ globulin region (1.63%, 163/10 014) (χ2=44.34, P<0.05). IgG and IgM bands are common in γ globulin region. Among them, IgG-κ type accounted for 94.1% (995/1 058), IgG-λ type accounted for 94.8% (690/728), IgM-κ type accounted for 89.2% (222/249), IgM-λ accounted for 83.8% (62/74). IgA bands are common in β region, of which IgA-κ accounted for 49.8% (103/207) and IgA-λ accounted for 51.6% (149/289). The positive rate of monoclonal gammopathy of IgG-κ type was the highest (10.57%, 1 058/10 014), and the positive rate of monoclonal gammopathy of IgM-λ type was the lowest (0.74%, 74/10 014). Conclusions:With increasing age, the proportion of albumin band in SPE decreased and the proportion of γ globulin band increased. IgG and IgM type monoclonal gammopathy is mostly found in the gamma region, with a higher detection rate in IgG type. IgA type monoclonal gammopathy is mostly found in the β region, with a lower detection rate.

Vulnerable research participants participating in clinical trials pose certain ethical challenges,and they require special attention from researchers,ethics committees,and management departments.Taking a deaf-mute and illiterate research participants participating in a clinical trial of breast cancer as an example,this paper discussed the ethical considerations regarding the research participants's insufficient capacity for informed consent,as well as the measures taken to ensure their compliance in the clinical trial,further provided ideas for dealing with this type of ethical issues.During the implementation of clinical trials,researchers should assess the level of informed consent ability of research participants,implement the research participants'rights to know and choose,and perform informed consent in a standardized manner.For research participants whose vulnerable factors make it difficult for them to give informed consent,they should not be excessively excluded from the research.Instead,targeted safeguards should be taken to promote the efficient implementation of clinical trials on the premise of complying with various ethical principles.