Objective: To analyze the etiological surveillance results of influenza-like illness (ILI) cases in Jiangsu Province, and investigate the distribution characteristics of different influenza virus types, so as to provide the evidence for improving influenza prevention and control measures. Methods: Influenza laboratory testing data for sentinel surveillance of ILI cases in Jiangsu Province from 2019 to 2024 were collected through the China Influenza Surveillance Information System. The positive detection rate of influenza virus was calculated, and descriptive analysis was performed to characterize the distribution of different influenza virus types. Using the farthest neighbor linkage method, influenza virus positive detection rates clustering was analyzed by year and week. Clusters were defined based on inter-cluster distance, and the intensity of the positive detection rate was visualized through color gradients in the clustering heatmap. Results: From 2019 to 2024, a total of 183 878 ILI specimens were collected in Jiangsu Province. Among them, 20 059 specimens tested positive for influenza virus, corresponding to an overall positive detection rate of 10.91%, and an average annual positive detection rate of 10.89%. The primary circulating influenza virus types were influenza A H3N2 subtype, accounting for 40.92%, followed by influenza B Victoria linage at 34.00%, and influenza A H1N1 subtype at 24.80%. Influenza B Yamagata linage was not detected throughout the five-year period. Influenza A H3N2 subtype predominated during two distinct periods: from January to March 2019, and from June 2022 to December 2023. Influenz B Victoria linage was the dominant type from April 2019 to May 2022 and again from January to April 2024. Influenza A H1N1 subtype emerged as the primary type from May to December 2024. Year-based clustering analysis grouped the annual positive detection rates from 2019 to 2024 into three clusters. The closest cluster distance was observed between 2019 and 2024. The highest annual positive detection rate occurred in 2023. Both influenza A H3N2 and H1N1 subtype each formed a single cluster, with their peak positive detection rates also recorded in 2023. Influenza B Victoria lineage was separated into two clusters, with its highest positive detection rate occurring in 2020. Week-based clustering analysis revealed that influenza virus detection was concentrated in weeks 47 to 52 and weeks 1 to 15. More specifically, the positive detection rates for influenza A H3N2 subtype peaked during weeks 30 to 34 and weeks 42 to 52; for influenza A H1N1 subtype, during weeks 9 to 15 and weeks 51 to 52; and for influenza B Victoria lineage, during weeks 1 to 11 and weeks 50 to 52. Conclusions From 2019 to 2024, the average annual positive detection rate of influenza virus in Jiangsu Province remained relatively low. Influenza activity characterized by the alternating circulation of influenza A H1N1 subtype, influenza A H3N2 subtype, and influenza B Victoria linage. It is necessary to maintain the surveillance sensitivity for the influenza B Yamagata lineage.

Objective To investigate the influencing factors of stroke patients with hypertension and their compliance with antihypertensive drugs, and to provide targeted intervention measures for stroke prevention in hypertensive patients.  Methods Using the method of multi-stage cluster sampling, a total of 59,434 permanent residents aged 40 and above were selected from 48 monitoring sites in 9 cities of Hebei Province from December 2019 to December 2020. Unconditional logistic regression analysis was used to explore the influencing factors of stroke complicated with hypertension and the compliance of patients with antihypertensive drugs.  Results Among the 59 434 subjects, the prevalence rate of stroke was 4.33% and the prevalence rate of stroke complicated with hypertension was 82.47%. The results of univariate analysis showed that the proportion of women, rural areas, dyslipidemia, diabetes, obesity, and people with family history of stroke was higher in stroke patients with hypertension, and the difference was statistically significant (P<0.05). Multivariate logistic regression analysis showed that rural areas, dyslipidemia, diabetes, obesity, and family history of stroke significantly increased the risk of stroke, and the OR (95%CI) values were 1.29 (1.03-1.62), 1.39 (1.12-1.72), 1.58 (1.25-1.99), 1.61 (1.22-2.12) and 1.60 (1.26-2.04), respectively. Among stroke patients with hypertension, 92.71% of patients took antihypertensive drugs. It was found that women's compliance with antihypertensive drugs was good, with an OR (95%CI) value of 1.46 (1.01-2.09).  Conclusion The prevalence rate of stroke complicated with hypertension is high in people aged 40 and above in Hebei Province. Hypertensive people should lower blood lipids, control blood glucose, and lose weight as soon as possible to prevent the occurrence of stroke.

ObjectiveTo investigate the epidemiological characteristics of human brucellosis (hereinafter referred to as brucellosis) in Baoshan City, Yunnan Province, and to provide scientific evidence for adjusting prevention and control strategies. MethodsBased on the surveillance data of reported brucellosis cases in Baoshan City from 2020 to 2023 and the information collected through individual epidemiological questionnaire surveys, the epidemic status and clinical characteristics of brucellosis in Baoshan City were analyzed using descriptive epidemiological methods. ResultsA total of 85 brucellosis cases were reported in Baoshan City from 2020 to 2023, and detailed individual information was obtained for 83 of them. Brucellosis in Baoshan City showed a clear seasonal pattern, with peak incidence from May to September. The average annual incidence rate was 0.80/100 000, with a male-to-female ratio of 7.5∶1. And 82.35% of the cases aged 30 to 60 years, with farmers being the predominant affected group. The main clinical manifestations of the cases were myalgia and arthralgia. Regarding transmission routes, 87.95% of the cases had a contact history with cattle, with livestock rearing and grazing being the main exposure modes. Most infections occurred at home. ConclusionFrom 2020 to 2023, the incidence of brucellosis in Baoshan City exhibited a fluctuating upward trend, with a peak period from May to September. Males and farmers were identified as the primary affected populations. It is recommended to strengthen livestock surveillance and control, and to enhance both awareness and self-protection capacity among high-risk groups.

This study aims to establish an antibody detection method for porcine deltacoronavirus (PDCoV). The recombinant proteins PDCoV-N1 and PDCoV-N2 were expressed via the prokaryotic plasmid pColdII harboring the N gene sequence of the PDCoV strain CH/XJYN/2016. The reactivity and specificity of PDCoV-N1 and PDCoV-N2 with anti-PEDV sera were analyzed after the recombinant proteins were analyzed by SDS-PAGE and purified by the Ni-NTA Superflow Cartridge. Meanwhile, Western blotting and indirect immunofluorescence assay were carried out separately to validate the recombinant proteins PDCoV-N1 and PDCoV-N2. Finally, we established an indirect ELISA method based on the recombinant protein PDCoV-N2 after optimizing the conditions and tested the sensitivity, specificity, and reproducibility of the method. Then, the established method was employed to examine 102 clinical serum samples. The recombinant protein PDCoV-N2 showed low cross-reactivity with anti-PEDV sera. The optimal conditions of the indirect ELISA method based on PDCoV-N2 were as follows: the antigen coating concentration of 1.25 μg/mL and coating at 37 ℃ for 1 h; blocking by BSA overnight at 4 ℃; serum sample dilution at 1:50 and incubation at 37 ℃ for 1 h; secondary antibody dilution at 1:80 000 and incubation at 37 ℃ for 1 h; color development with TMB chromogenic solution at 37 ℃ for 10 min. The S/P value ≥ 0.45, ≤0.38, and between 0.45 and 0.38 indicated that the test sample was positive, negative, and suspicious, respectively. The testing results of the antisera against porcine epidemic diarrhea virus (PEDV), porcine circovirus 2 (PCV2), transmissible gastroenteritis virus (TGEV), foot-and-mouth disease virus (FMDV), and African swine fever virus (ASFV) showed that the S/P values were all less than 0.38. The testing results of the 800-fold diluted anti-PDCoV sera were still positive. The results of the inter- and intra-batch tests showed that the coefficients of variation of this method were less than 10%. Clinical serum sample test results showed the coincidence rate between this method and neutralization test was 94.12%. In this study, an ELISA method for the detection of anti-PDCoV antibodies was successfully established based on the truncated N protein of PDCoV. This method is sensitive, specific, stable, and reproducible, serving as a new method for the clinical diagnosis of PDCoV.
Animals ; Enzyme-Linked Immunosorbent Assay/methods* ; Swine ; Antibodies, Viral/blood* ; Recombinant Proteins/genetics* ; Deltacoronavirus/isolation & purification* ; Coronavirus Infections/virology* ; Swine Diseases/diagnosis* ; Coronavirus Nucleocapsid Proteins ; Sensitivity and Specificity

Objective: To investigate morphological differences between obstructive and non-obstructive coronary artery disease (CAD) patients using computer-aided image analysis, and identify color and texture features for traditional Chinese medicine (TCM) syndrome differentiation. Methods: This prospective study enrolled patients undergoing coronary computed tomography angiography (CTA) at the Affiliated Hospital of Liaoning University of Traditional Chinese Medicine between May 1, 2024 and August 7, 2025. Based on CTA results, patients were categorized into obstructive CAD and non-obstructive CAD groups. Standardized tongue images were acquired using a dedicated mobile application (Traditional Chinese Medicine Tongue Image-Assisted Diagnosis System) and analyzed for the overall tongue surface and three macroscopic features (tooth marks, fissures, and red dots) from which high-dimensional color and texture parameters were extracted. Multi-scale texture features were derived using spatial-domain Laplacian pyramid and frequency-domain wavelet transform methods. Dimensionality reduction and feature selection were performed using principal component analysis (PCA) and random forest with 5-fold cross-validation. Feature stability was assessed using Hodges-Lehmann estimator and Cliff’s δ. A multi-view XGBoost model was developed to differentiate the two groups and evaluated on a temporally independent validation set using accuracy and the area under the receiver operating characteristic curve (AUC). SHapley Additive exPlanations (SHAP) analysis was applied to interpret model decisions. Results: This study analyzed 373 CAD patients, including 167 with obstructive CAD and 206 with non-obstructive CAD according to CTA results. The whole cohort was divided into training set (n = 316, obstructive : non-obstructive = 142 : 174 ) and validation set (n = 57, obstructive : non-obstructive = 25 : 32), with balanced baseline characteristics (P > 0.05). Macroscopic tongue analysis revealed that patients with obstructive CAD had fewer tooth marks [odds ratio (OR) = 0.43, P < 0.05] and red dots (OR = 0.46, P < 0.05). High-dimensional color analysis identified pronounced intergroup differences, most notably a reduction in hue values in the hue-saturation-intensity (HSI) color space among obstructive CAD patients (Cliff’s δ = – 0.31, P = 2.72 × 10–6; Hodges-Lehmann estimator: – 0.31). PCA results suggested that tongue surface features explained the highest proportion of variance (48.2%). Random forest screening identified 77 stable features across all tongue regions, with wavelet-transformed texture features demonstrating the highest importance. The multi-view XGBoost fusion model achieved an accuracy of 75% and an AUC of 0.779 in the independent validation set. SHAP analysis identified the wavelet-based feature—left-handed lower-level gray-level size zone matrix zone variance (LHL_glszm_ZoneVariance) as the top predictor, accounting for 40.6% of the model's decision variance, and indicated that 85.3% of the predictive power came from wavelet-based texture features. Conclusion This study has provided objective evidence for the TCM concept that “the tongue reflects the heart” by identifying distinct morphological and colorimetric tongue patterns in patients with obstructive CAD through artificial intelligence (AI)-driven image analysis, and the promising performance of the computational model suggests its potential as a non-invasive adjunctive tool for CAD assessment.

BackgroundThe functional changes of the default mode network （DMN） are closely related to the onset of major depressive disorders. However， the relationship between the DMN subsystem （core subsystem， dorsomedial prefrontal cortex subsystem， medial temporal lobe subsystem） and symptoms of first-episode major depressive disorder remains unclear. ObjectiveTo investigate abnormal functional connectivity between DMN subsystems and the whole brain in first-episode major depressive disorder patients during the resting-state， and to analyse the correlations between these functional connectivity patterns and clinical symptoms， so as to reveal the potential neural mechanisms from the perspective of DMN subsystem. MethodsFrom September 2020 to September 2023， a total of 64 first-episode outpatients and inpatients meeting the diagnostic criteria for major depressive disorder in the Diagnostic and Statistical Manual of Mental Disorders， fourth edition （DSM-IV） were enrolled at the Inner Mongolia Autonomous Region Mental Health Center as the study group. During the same period， 54 healthy volunteers matched for age， gender， and years of education were recruited from the community as the control group. Both groups were assessed using the Hamilton Depression Scale-24 item （HAMD-24）. Resting-state functional magnetic resonance images （rs-fMRI） of the two groups were acquired using a Siemens 3.0 T scanner， and differences in functional connectivity between DMN subsystems （core subsystem， dorsomedial prefrontal cortex subsystem， medial temporal lobe subsystem） and the whole brain were compared. The functional connectivity values of brain regions with statistically significant differences between the two groups were extracted. Spearman's rank correlation coefficient analysis was used to investigate the correlation between these functional connectivity values and HAMD-24 scores of the study group. ResultsUltimately， 46 patients and 43 controls completed the study. Compared with the control group， the study group exhibited significantly stronger functional connectivity in the following pathways： between the right superior parietal lobule （core subsystem） and right cerebellar lobule VIII （t=3.954， P<0.05， GRF-corrected）， between the right lateral temporal cortex （dorsomedial prefrontal cortex subsystem） and right cerebellar lobule VIII， right and left hippocampi， right medial， and paracingulate gyrus （t=4.595， 4.208， 5.200， 4.038， P<0.05， GRF-corrected）， and between the temporoparietal junction （dorsomedial prefrontal cortex subsystem） and left lingual gyrus and right cerebellar lobule VIII （t=3.557， 4.274， P<0.05， GRF-corrected）. Conversely， weaker functional connectivity was observed between the right inferior frontal gyrus and left gyrus rectus （t=-3.824， P<0.05， GRF-corrected）. Furthermore， within the study group， the functional connectivity values between the right lateral temporal cortex and right hippocampus， as well as between the temporoparietal junction and right cerebellar lobule VIII， were both negatively correlated with the HAMD-24 cognitive impairment factor score （r=-0.306， -0.318， P<0.05）. ConclusionIncreased functional connectivity between the DMN （specifically its core and dorsomedial prefrontal cortex subsystems） and cerebellum， partial limbic system， and lingual gyrus may be associated with the neuropathology of first-episode major depressive disorder. Furthermore， alterations in functional connectivity between the dorsomedial prefrontal cortex subsystem and both the cerebellum and hippocampus in these patients may be related to cognitive function. ［Funded by 2019 Annual Inner Mongolia Autonomous Region Natural Science Foundation Project （number， 2019MS03038）； 2023 Annual Inner Mongolia Autonomous Region Natural Science Foundation Project （number， 2023MS08028）］

As a physical treatment technique, modified electro-convulsive therapy (MECT) is used to treat mental and certain neurological disorders by causing seizures with short, suitable electrical currents applied to the brain while the patient is under general anesthesia and muscle relaxants. MECT is recognized for its therapeutic efficacy and clinical safety, rendering it one of the most prevalent interventions in psychiatric care. To enhance clinical outcomes and minimize adverse effects, this consensus document delineates the indications, therapeutic parameters, therapeutic procedures, potential adverse effects, and associated management strategies for MECT. These guidelines are informed by the latest clinical research and expert consensus, integrating evidence-based medicine methodologies. The objective is to furnish clinicians with precise operational guidelines and to advance the standardization of MECT practices in clinical settings.

Objective:To investigate the efficacy and treatment adherence of digital cognitive behavioral therapy for insomnia (dCBT-I) in patients with insomnia disorder accompanied by anxiety and depressive symptoms, and to provide empirical evidence for its clinical application.Methods:From December 2023 to December 2024, 102 patients with insomnia disorder accompanied by anxiety and depressive symptoms were recruited from the outpatient department of Inner Mongolia Brain Hospital and randomly assigned to either the dCBT-I group ( n=56) or the digital sleep hygiene education (dSHE) group ( n=46). The dCBT-I group received a 4-week intervention comprising 5 core modules, while the dSHE group received 4 weeks of digital sleep hygiene education. Both groups received weekly guidance from clinical psychologists. Subjective sleep quality (Insomnia Severity Index, ISI), anxiety (Hamilton Anxiety Scale, HAMA), and depressive symptoms (17-item Hamilton Depression Scale, HAMD 17) were assessed at baseline, week 4, week 8, and week 12. Objective sleep parameters (polysomnography, PSG) and cognitive function (Repeatable Battery for the Assessment of Neuropsychological Status, RBANS) were evaluated at baseline and week 4. Linear mixed-effects model was used to analyze the effects of group, timepoint, and their interaction on outcome measures, after controlling medication history, age, sex, education level, ethnicity, and marital status as covariates. Results:A total of 76 patients (dCBT-I: n=42; dSHE: n=34) completed the 4-week intervention, yielding a treatment adherence rate of 74.5%(76/102). At weeks 4, 8, and 12, the dCBT-I group demonstrated significantly lower scores on the ISI, HAMA, and HAMD 17 scales compared to the dSHE group (β=-1.70--0.66, t=-15.38--6.21, all P<0.05), along with higher rates of medication reduction (χ 2=16.40, 9.22, 6.66, all P<0.05). No significant differences were observed in PSG parameters between the two groups. However, the dCBT-I group demonstrated significant improvements in RBANS subdomains, including immediate memory, language function, and delayed memory (β=0.45, 0.86, 1.43, t=3.09, 2.67, 4.36, all P<0.05). Conclusion:dCBT-I is an effective and well-adhered intervention for patients with insomnia disorder accompanied by anxiety and depressive symptoms, warranting broader clinical implementation.

Objective:To develop the Amputation Scale for Severe Open Pelvic Fractures and explore its application value in patients with severe open pelvic fractures.Methods:A total of 27 patients with severe open pelvic fractures who underwent surgical treatment in Shandong Provincial Hospital Affiliated to Shandong First Medical University from January 2010 to January 2023 were retrospectively analyzed. There were 15 males and 12 females, aged 38.6±11.6 years (range, 13-65 years). There were 13 cases of traffic injuries, 10 cases of fall from height injuries, and 4 cases of mechanical crushing injuries; 20 cases were admitted to the hospital in emergency, and 7 cases were transferred from other hospitals. All fracture types were Tile C, including 14 cases of Tile C1, 8 cases of Tile C2, and 5 cases of Tile C3. There were 16 cases of genitourinary system injury, 8 cases of anal or rectal injury, 12 cases of abdominal injury, 9 cases of chest injury, and 6 cases of craniocerebral trauma. The mangled extremity severity score (MESS) and the Amputation Scale for Severe Open Pelvic Fractures were used to evaluate whether amputation was performed. The sensitivity, specificity, positive predictive value, negative predictive value and accuracy of the two evaluation methods were calculated.Results:Among the 27 patients, 21 cases were treated with pelvic external fixator to control the volume, 16 cases were treated with gauze packing to stop bleeding, 8 cases were treated with temporary abdominal aorta occlusion, and 12 cases were treated with laparotomy because of abdominal injury. Seven of the 27 patients died, with a mortality rate of 26%. In 12 cases of one-stage amputation, 3 cases died, including 1 case died of multiple organ failure syndrome, 1 case died of gastrointestinal bleeding on the 7th day after amputation, and 1 case died of severe infection on the 4th day after amputation. Among the 15 cases of one-stage limb salvage, 4 cases died, of which 2 cases of second-stage amputation died of infection on the 5th day after one-stage limb salvage, and 1 case of one-stage limb salvage died of limb necrosis on the 3rd day after one-stage limb salvage. Two patients died of multiple organ failure syndrome. The MESS score of 27 patients was 6(6, 8) points (range, 6-13 points), and the Amputation Scale for Severe Open Pelvic Fractures score was 9.6±1.8 points (range, 6-14 points). The sensitivity, specificity, positive predictive value, negative predictive value and accuracy of MESS were 66.7%, 50%, 40%, 75% and 56%, respectively, while those of Amputation Scale for Severe Open Pelvic Fractures were 80%, 89%, 73%, 88% and 82%, respectively. The specificity and accuracy of MESS were significantly lower than those of Amputation Scale for Severe Open Pelvic Fractures ( P<0.05). All 20 patients who survived were followed up for 23.6±7.5 months (range, 11-37 months). Five cases had soft tissue infection at the stump of amputation, which were treated with debridement, and 3 cases underwent skin grafting, and the stump healed well at the last follow-up. Conclusion:The Amputation Scale for Severe Open Pelvic Fractures is better than MESS in the assessment of early amputation in patients with severe pelvic fractures.

The oropouche virus (OROV) poses a threat to pregnant women and fetuses, potentially causing fetal neurological defects and even stillbirth, which has caused global attention. OROV is an arthropod-borne virus belonging to the Orthobunyavirus genus in the Bunyavirales order, primarily transmitted by arthropods and causing oropouche fever. This article reviews the etiological characteristics, epidemiological distribution, clinical symptoms, detection methods, and prevention strategies of OROV. OROV is prevalent in Central and South America, with a sharp increase in cases reported in Brazil in 2024. The virus's symptoms resemble those of several other arthropod-borne viral diseases, which can lead to misdiagnosis. Currently, there are no specific drugs or vaccines available, and treatment is mainly supportive. Culicoides paraensis and Culex quinquefasciatus are among the significant vectors of OROV. Furthermore, the article analyzes the distribution of Culex quinquefasciatus in China, highlights the risk of imported cases, proposes targeted prevention and control strategies, and underscores the significance of international cooperation in disease prevention and control.