Objective: To investigate the epidemiological characteristics and spatial-temporal clustering of varicella in Changchun City from 2020 to 2024, so as to provide the evidence for formulating local varicella prevention and control measures. Methods: The individual case data of varicella were collected through the Surveillance and Reporting Management System of the Chinese Disease Prevention and Control Information System in Changchun City from 2020 to 2024. Descriptive epidemiological methods were used to analyze the population ,regional, and temporal distribution. Spatial autocorrelation and spatio-temporal scanning analyses were used to identify the spatial-temporal clustering characteristics. Results: A total of 8 850 varicella cases were reported in Changchun City from 2020 to 2024, with an average annual incidence of 19.64/105. There were 4 929 male cases and 3 921 female cases, with a male-to-female ratio of 1.26∶1. The age was mainly 0-<20 years (6 649 cases, 75.13%), and students were the predominant occupation (6 036 cases, 68.20%). The top three counties (cities, districts) with the highest number of cases were Chaoyang District (1 944 cases), Gongzhuling City (1 054 cases) and Nanguan District (987 cases), accounting for 45.03%. The peak incidence periods were from April to June and from October to December, with 2 166 and 4 226 cases, accounting for 24.47% and 47.75%, respectively. Spatial autocorrelation analysis showed that spatial clustering existed from 2020 to 2024. The high-high clustering areas were mainly some townships (streets) in Chaoyang District, Nanguan District, Changchun New District and Jingyue District. Spatio-temporal scanning analysis identified 6 high-risk clustering areas. The class Ⅰ clustering area was Nanhu Street in Chaoyang District, with the clustering period from September 2020 to February 2022. Conclusions Varicella cases in Changchun City were mainly males and students aged 0-<20 years from 2020 to 2024. The peak incidence was mainly in winter. Chaoyang District was a high-risk area, with obvious spatial-temporal clustering.

Objective To investigate the predictive value of serum interleukin-17(IL-17)combined with eotaxin-3 for poor prognosis in patients with acute exacerbation of chronic obstructive pulmonary disease(AECOPD).Methods A total of 213 patients with AECOPD admitted to Beijing Municipal Armed Police Force Hospital from May 2018 to July 2023 were selected as the disease group.According to the prognosis of patients,they were divided into good prognosis group(133 cases)and poor prognosis group(80 cases).At the same time,205 physical examination healthy people in Beijing Municipal Armed Police Force Hospital were selected as the healthy group.The serum levels of IL-17 and eotaxin-3 were detected by enzyme-linked immu-nosorbent assay.The clinical data of poor prognosis group and good prognosis group were compared.Pearson correlation analysis was used to analyze the correlation between serum IL-17 level and eotaxin-3 in AECOPD patients.Multivariate Logistic regression analysis was used to analyze the related factors affecting the progno-sis of AECOPD patients.The receiver operating characteristic(ROC)curve was used to evaluate the predic-tive value of serum IL-17 and eotaxin-3 levels for the prognosis of AECOPD patients.Results Compared with the healthy group,the serum levels of IL-17 and eotaxin-3 were increased in the disease group(P<0.05).Compared with the good prognosis group,the poor prognosis group had significant increases in serum IL-17 and eotaxin-3 levels(P<0.05).Serum IL-17 level was positively correlated with eotaxin-3 in AECOPD pa-tients(r=0.537,P<0.001).There were significant differences in Global Initiative for Chronic Obstructive Lung Disease(GOLD)grade,blood oxygen partial pressure(PaO2)and carbon dioxide partial pressure(PaCO2)between the poor prognosis group and the good prognosis group(P<0.05).GOLD grade,PaCO2,serum IL-17 and eotaxin-3 levels were risk factors for poor prognosis in patients with AECOPD(P<0.05),and PaO2 was a protective factor for poor prognosis in patients with AECOPD(P<0.05).The area under the curve of serum IL-17 and eotaxin-3 combined to predict the prognosis of AECOPD patients was 0.885,the sensitivity was 80.00%,and the specificity was 83.46%,which was better than that of IL-17 and eotaxin-3 a-lone(Zcombiation-IL-17=4.045,P<0.001,Zcombiation-eotaxin-3=3.254,P=0.001).Conclusion The serum levels of IL-17 and eotaxin-3 are increased in AECOPD patients.The combination of IL-17 and eotaxin-3 has predictive value for the prognosis of AECOPD patients.

There are a variety of mechanical signals in the microenvironment of cells,which have temporal and spatial variability,which jointly regulate the histological processes such as cell proliferation,differentiation and migration.Piezo1 is a mechanically sensitive cationic channel.As a force sensor,it transmits signals to downstream pathways and participates in a variety of life activities in response to changes in the cell microenvironment.In this paper,the common signal pathways of Piezo1 were reviewed in order to identify the downstream signaling pathways regulated by Piezo1,thereby providing theoretical basis for inhibiting or delaying related diseases.

Apurinic/apyrimidinic endonuclease 1(APE 1)is a multifunctional protein that plays important roles in DNA repair and regulation of gene expression.Because APE 1 is overexpressed in various cancers,it can serve as a cancer biomarker for aiding clinical diagnosis,guiding therapy,and monitoring prognosis.On this basis,a label-free fluorescent probe was designed based on the primer exchange reaction(PER)strategy for highly sensitive detection of APE 1 activity.In the absence of APE 1,the structure of catalytic hairpin(HP)was stable and could not form G-quadruplex.Therefore,the background fluorescence of this sensing system was very low due to the dissociation of thioflavin T(ThT).In the presence of APE 1,the apurinic/apyrimidinic(AP)site of HP was cleaved by APE 1 and a short nucleic acid fragment that acted as a primer to initiate PER was generated.After PER reaction,a large number of G-quadruplex were produced,which could specifically bind with ThT and resulted in significant increase of fluorescence signal.The combination of low background design of HP and PER amplification made this biosensor had high sensitivity with a detection limit(3σ)of 0.0008 U/mL.Furthermore,the primer sequence was directly generated by the cleavage of APE 1 without additional addition,which not only increased the specificity of the reaction,but also simplified the experiment procedure.Moreover,the use of label-free fluorescence signal reduced the cost of the experiment,and realized rapid detection of APE 1.Finally,this sensor was used to detect APE 1 in human serum samples with spiked recoveries of 91%-104%,proving great potential in study of biological enzyme.

OBJECTIVE To explore the levels of helper T lymphocytes(Th)in patients with hepatitis B virus(HBV)infection who were treated with entecavir and observe the impact on viral clearance.METHODS A total of 149 patients with HBV infection who were treated with entecavir in Yan'an Hospital of Kunming City from Jan.2020 to Jan.2024 were enrolled in the study,82 of whom were chronic hepatitis B(CHB),and 67 were chro-nic hepatitis B virus carriers.The enrolled patients were divided into the clearance group with 64 cases and the no clearance group with 85 cases according to the levels of serum hepatitis B surface antigen(HBsAg)at Week 72 of the treatment.The clinical data were compared between the two groups,and the changes of Th1 and Th2 levels during the treatment were analyzed.Multivariate linear regression analysis was performed for the association be-tween virological change during the treatment and immune level.The risk factors for failed clearance of viruses were analyzed by logistic regression model.RESULTS There were significant differences in the age,the levels of alanine aminotransferase(ALT)and HBV DNA between the baseline and Week 24,the levels of aspartate trans-aminase(AST)at the baseline and Week 12,the HBsAg level at Week 24,and the baseline levels of Th1,Th1/Th2 between the CHBc treatment group and the CHB treatment group(P＜0.05).There were linear correlations between the HBV DNA,HBsAg,hepatitis E antigen(HBeAg)and the Th1,Th2 and Th1/Th2,respectively(P＜0.05).Totally 64 patients were accumulatively eradicated with HBsAg on Week 72,with the eradication rate 42.95％.After the confounding factors were adjusted,multivariate analysis showed that the high levels of Th1,Th2 and Th1/Th2 were the risk factors for the failed clearance of viruses(P＜0.05).CONCLUSIONS Among the patients with HBV infection,there is difference in the immune level between the CHB patients and the CHB virus carriers.The levels of Th1,Th2 and Th1/Th2 are strongly correlated with the HBV DNA,HBsAg,HBeAg and efficiency of viral clearance during the treatment with entecavir.

Objective:To develop a camelid single-domain antibody (SdAb) recognizing linear B-cell epitopes in glutamate dehydrogenase of Clostridium difficile(CD-GDH), and to apply it in Western blot and ELISA. Methods:Purified recombinant CD-GDH was used as bait to screen phage-displayed camelid SdAb library and obtain positive clones. Then those clones were confirmed by Western blot, and their variable domain of heavy chain of heavy chain antibody(VHH) nucleotide sequence were determined. The VHH sequence was synthesized after codon optimization and cloned into the expression vector pET28a. The SdAb was then expressed and purified, and its ability to detect CD-GDH protein in multiple assays was further explored.Results:Six positive clones were obtained, among which clone GA4 was chosen for recombinant expression in Escherichia coli and further purification. The purified GA4 binded well with CD-GDH with a Kd value of 3 nmol/L. In Western blot and ELISA, GA4 was proven to be able to selectively detect both recombinant and endogenous CD-GDH. Conclusions:A camelid SdAb targeting a linear B-cell epitope in CD-GDH is successfully developed, which provides a very useful tool for detecting CD-GDH.

Objective:To evaluate the predictive value of the tricuspid annular plane systolic excursion to systolic pulmonary artery pressure ratio(TAPSE/sPAP) in identifying precapillary pulmonary hypertension(pcPH) patients requiring repeat balloon pulmonary angioplasty(BPA) within 3 months after initial intervention, and to determine independent risk factors associated with postoperative reintervention.Methods:We retrospectively collected clinical data from 215 consecutive patients with pcPH undergoing BPA. After applying exclusion criteria, 200 patients were ultimately included in the analysis. The predictive value of the TAPSE/sPAP for short-term BPA reintervention was assessed using receiver operating characteristic( ROC) curve analysis and multivariable logistic regression. Internal validation was performed through bootstrap resampling with 1 000 iterations to evaluate model stability. Results:A risk model for echocardiography was constructed using multiple logistic regression, and the results showed that systolic pulmonary artery pressure(sPAP), peak tricuspid regurgitation velocity(TRV), tricuspid regurgitation pressure gradient(PGTR), and TAPSE/sPAP ratio were predictive factors for BPA surgery in patients with pulmonary hypertension within 3 months. Multivariate regression analysis suggests that the TAPSE/sPAP ratio is an independent influencing factor for BPA after 3 months( OR=0.023, P<0.05). The predicted area under the ROC curve( AUC) for BPA after 3 months is 0.62(95% CI: 0.530-0.648), P<0.01, which is better than other cardiac ultrasound indicators. At the same time, internal bootstrap method was used for internal self-validation, and the AUC of the internal self-validation set was 0.67. Conclusion:The TAPSE/sPAP ratio serves as an independent predictor for requiring repeat BPA within 3 months postoperatively in patients with pcPH.

Objective:To analyze the risk factors for fat liquefaction after surgery for pediatric appendiceal abscess and to construct and validate a predictive model for post-operative fat liquefaction.Methods:The training set collected clinical data from 60 children who developed fat liquefaction after appendiceal abscess surgery and 60 children who did not develop fat liquefaction for comparison.The validation set collected data from 97 children during the same period ac-cording to the same criteria to test the model's efficacy.LASSO logistic regression was used to screen potential diag-nostic factors,and a Logistic regression model was employed for univariate analysis.Collinearity diagnostic tests were conducted among the risk factors.The stepwise regression method using the training dataset was applied to evaluate the importance of each risk factor for fat liquefaction.A multivariate Cox proportional hazards model was used to calcu-late the concordance index of the risk factors in both the training and validation sets.A predictive model was constructed using Logistic regression,and the clinical value of the predictive model was evaluated using ROC curves,calibration curves,and decision curves.Results:Compared with the non-liquefaction group,the liquefaction group had higher val-ues in terms of body weight,heart rate,diameter of the tender mass in the right lower abdomen,degree of appendiceal thickening,body temperature upon admission,fasting plasma glucose(FPG)level,surgical duration,intraoperative blood loss,wound healing time,length of hospital stay,volume of abdominal drainage fluid,and infection status(P<0.05).LASSO logistic regression analysis identified potential factors including body temperature upon admission,heart rate,body weight,diameter of the tender mass in the right lower abdomen,degree of appendiceal thickening,FPG level,sur-gical duration,and intraoperative blood loss.Univariate analysis revealed that body weight,diameter of the tender mass in the right lower abdomen,FPG level,surgical duration,and intraoperative blood loss were influencing factors for fat lique-faction after appendectomy(P<0.05).Body weight and FPG factors were mutually independent with no multicollinearity,while there was multicollinearity among the diameter of the tender mass in the right lower abdomen,surgical duration,and intraoperative blood loss.The risk model combining the diameter of the tender mass in the right lower abdomen,in-traoperative blood loss,FPG,surgical duration,and body weight had the highest concordance index in both the training and validation sets,with values of 0.811 and 0.814,respectively.The Logistic regression model established the predictive model as Logit(P)=-1.136+0.664×(diameter of the tender mass in the right lower abdomen)+0.449×(surgical duration)+0.622×(intraoperative blood loss)+0.200×(body weight)+0.578×(FPG).The area under the ROC curve was 0.920(95%CI:0.869～0.942),with a sensitivity of 93.14%and a specificity of 85.73%.The calibration curve of the predictive model showed good fit with the ideal curve.The predictive model had a high net benefit.Conclusion:Body weight,diameter of the tender mass in the right lower abdomen,FPG level,surgical duration,and intraoperative blood loss are risk factors for fat liquefaction after appendectomy and have good predictive value for the occurrence of fat liquefaction.

Objective:To develop and validate machine learning models for predicting the cumulative live birth rate (CLBR) following in vitro fertilization (IVF) and to analyze key predictive features using SHAP values. Methods:This retrospective study included data from patients who underwent IVF-embryo transfer at the Department of Reproductive Medicine, Baoding Maternal and Child Health Hospital, between January 2017 and December 2022. Patients were categorized into two groups based on live birth outcome: the live birth group ( n=1 036) and the non-live birth group ( n=756). The dataset was randomly divided into a training set and a validation set in a ratio of 7∶3. Five algorithms were utilized for model development: logistic regression, random forest, extreme gradient boosting (XGBoost), support vector machine, and neural networks. Model performance was assessed using the area under the receiver operating characteristic (AUC) curve, F1 score, and calibration curves. Clinical decision curve analysis (DCA) was employed to evaluate the clinical utility of the models. SHAP values were used to interpret feature importance in the XGBoost model and enhance its explainability. Results:The XGBoost model demonstrated the best performance in predicting CLBR,with accuracy of 72.44%, AUC of 0.775, and F1 score of 0.654, accuracy and F1 score outperforming logistic regression (accuracy was 70.02%, F1 score was 0.585), random forest (accuracy was 71.69%, F1 score was 0.606), support vector machine (accuracy was 70.20%, F1 score was 0.607), and neural network (accuracy was 68.72%, F1 score was 0.560). The calibration curve of XGBoost closely aligned with the diagonal line, indicating that the predicted probabilities were very close to the actual outcomes, demonstrating good calibration. DCA indicated that the XGBoost model provided higher net benefits across a wide range of clinical decision thresholds. SHAP value analysis identified number of previous IVF failures, antral follicle count, anti-Müllerian hormone level, percentage of normal sperm morphology, and sperm DNA fragmentation index as key predictors of CLBR.Conclusion:The XGBoost model exhibits excellent predictive performance and calibration for CLBR, with SHAP values providing important insights into feature importance. This model has the potential to support the development of personalized treatment strategies in clinical practice. However, its generalizability needs to be validated using external datasets to ensure its applicability to diverse populations.

OBJECTIVE: To investigate the efficacy and safety of diagnostic-driven therapy for invasive fungal disease(IFD) in patients with myeloid hematologic malignancies. METHODS: A retrospective analysis was conducted on the clinical data of 91 patients with myeloid hematologic malignancies who received diagnostic-driven therapy for IFD at the Second Hospital of Anhui Medical University from January 1, 2020 to December 31, 2023. The patients were divided into two groups based on medication: 44 patients in the caspofungin group and 47 patients in the voriconazole group. The clinical efficacy and adverse reactions of the two groups were compared and analyzed. RESULTS: The overall response rates in the caspofungin and voriconazole groups were 67.4% and 60.0%, respectively. Among patients who transitioned to diagnostic-driven therapy following prophylactic or empirical treatment with triazole antifungal agents, the response rate of the caspofungin group was significantly higher than that of the voriconazole group (76.9% vs 35.3%, P <0.05). A total of 9 patients in both groups experienced adverse reactions, and no grade III or higher adverse reactions occurred. The incidence of grade I-II adverse reactions in the caspofungin group was lower than in the voriconazole group (2.3% vs 17.0%, P <0.05). CONCLUSION In patients with myeloid hematologic malignancies, caspofungin and voriconazole demonstrate comparable clinical efficacy in diagnostic-driven therapy for IFD, but caspofungin is associated with a lower incidence of adverse reactions. Caspofungin exhibits significant effectiveness when initiating diagnostic-driven therapy after prophylactic or empirical treatment with broad-spectrum triazole antifungal agents.
Humans ; Retrospective Studies ; Hematologic Neoplasms/complications* ; Antifungal Agents/therapeutic use* ; Voriconazole/therapeutic use* ; Caspofungin/therapeutic use* ; Invasive Fungal Infections/diagnosis* ; Male ; Female ; Mycoses/drug therapy* ; Middle Aged ; Treatment Outcome ; Aged ; Adult