Objective: To investigate the epidemiological characteristics and spatial-temporal clustering of severe fever with thrombocytopenia syndrome (SFTS) in Huai'an City, Jiangsu Province from 2011 to 2024, so as to provide a basis for optimizing local SFTS prevention and control strategies, and identifying high-risk areas and key populations. Methods: Data on SFTS incidence and deaths in Huai'an City from 2011 to 2024 were collected from the Infectious Disease Reporting Information System of the Chinese Disease Prevention and Control Information System. The reported incidence, mortality, and fatality rates were calculated. Descriptive analysis was performed on temporal, population, and regional distribution. The average annual percent change (AAPC) was used to analyze the trend in the reported incidence of SFTS. Global and local spatial autocorrelation analyses were employed to examine the spatial distribution patterns and spatial association patterns of SFTS incidence while spatio-temporal scanning analyses was used to assess the spatial-temporal clustering of SFTS. Results: A total of 337 SFTS cases were reported in Huai'an City from 2011 to 2024, with the reported incidence rising from 0.17/100 000 to 1.88/100 000. There were 20 deaths, with an average annual mortality of 0.03/100 000, and a fatality rate of 5.93%. The incidence showed obvious seasonality, with a peak in May and June (148 cases, accounting for 43.92%). Spring and summer accounted for 107 cases (31.75%) and 159 cases (47.18%), respectively. The reported SFTS cases were mainly male, farmers, and individuals aged ≥41 years, accounting for 56.38%, 79.23%, and 96.74%, respectively. The population distribution of death cases was basically consistent with that of incident cases. Xuyi County was a high-incidence area, with a total of 332 reported cases, accounting for 98.52%. All death cases were reported in this county. Spatial autocorrelation analyses revealed a positive spatial correlation in SFTS incidence from 2019 to 2024, with Moran's I values ranging from 0.214 to 0.336 (all P<0.05). Heqiao Town, Tianquanhu Town, and Guiwu Town in Xuyi County were identified as high-high clustering areas. Spatio-temporal scanning analyses showed that cluster 1 was consistent with the high-high clustering areas, with an aggregation time from the second quarter of 2019 to the second quarter of 2022. Conclusions From 2011 to 2024, the reported incidence of SFTS in Huai'an City showed an upward trend, with a high incidence in spring and summer. Males, farmers, and the middle-aged and elderly population were the key populations for prevention and control. Xuyi County was the key area for prevention and control.

OBJECTIVE: To investigate whether Buyang Huanwu Decoction (BYHWD) had a good curative effect on the neuroprotection of red nucleus neurons after spinal cord injury (SCI) and the possible molecular mechanism. METHODS: Ninety male Sprague-Dawley rats were divided into 5 groups (n=18 per group) according to a random number table, including the control, model, low- (12.78 g/kg, BL group), medium- (25.65 g/kg, BM group), and high-dose BYHWD groups (51.30 g/kg, BH group). A rubrospinal tract transection model in rats was established, and different doses of BYHWD were intragastrically administrated for 4 weeks. The forelimb locomotor function was recorded using the spontaneous vertical exploration test. Cyclic adenosine monophosphate (cAMP) level in red nucleus was detected through an enzyme-linked immunosorbent assay. The morphology and number of red nucleus neurons were observed using Nissl's staining and axonal retrograde tracing by Fluoro-Gold (FG). The expression of cAMP-dependent protein kinase A (PKA), nuclear factor kappa-B (NF-κB) p65, and brain-derived neurotrophic factor (BDNF) in red nucleus were detected using immunohistochemistry and quantitative real-time polymerase chain reaction. RESULTS: Compared with the control group, the utilization rate of bilateral forelimbs, unilateral right forelimbs, proportion of FG-labeled positive neurons, cAMP level, protein expressions of PKA and BDNF, and BDNF mRNA expression were significantly decreased in the model group (P<0.01), while NF-κB p65 was increased in the model group (P<0.01). Compared with the model group, the utilization rate of bilateral forelimbs and unilateral right forelimbs were significantly higher in the BL, BM and BH groups (P<0.01), the proportion of FG-labeled positive neurons, cAMP level, protein expressions of PKA and BDNF and BDNF mRNA expression in all BYHWD groups were increased (P<0.05 or P<0.01), while NF-κB p65 were decreased in all BYHWD groups (P<0.05 or P<0.01). CONCLUSIONS BYHWD possesses a sound neuroprotective effect on red nucleus neurons after SCI, and the efficacy was dose-related. The mechanism may be related to regulating the cAMP/PKA/NF-κ B p65 signaling pathway, finally promoting expression of BDNF.
Animals ; Spinal Cord Injuries/pathology* ; Drugs, Chinese Herbal/therapeutic use* ; Rats, Sprague-Dawley ; Male ; Cyclic AMP/metabolism* ; Transcription Factor RelA/metabolism* ; Cyclic AMP-Dependent Protein Kinases/metabolism* ; Signal Transduction/drug effects* ; Brain-Derived Neurotrophic Factor/genetics* ; Red Nucleus/metabolism* ; Recovery of Function/drug effects* ; Neurons/metabolism* ; Rats

Objective To develop and validate a safety assessment scale for early mobilization in lung transplant patients after surgery.Methods From September 2022 to April 2023,a preliminary scale was constructed using literature analysis,expert meetings,and the Delphi method.From June 2023 to May 2024,a convenience sampling was used to select 135 patients admitted to the lung transplant center of a tertiary general hospital in Jiangsu Province.Item analysis,reliability analysis,and validity analysis were applied to adjust the items,forming the final scale.Results The post-operative early mobilization safety assessment scale for lung transplant patients includes 5 dimensions(consciousness level,vital signs,disease-related factors,mobility,and nutritional status)and 18 items.The inter-rater reliability of the scale is 0.985;the overall content validity index is 0.853;the split-half reliability is 0.716.The area under the receiver operating characteristic curve for predicting adverse events within 72 hours of mobilization is 0.845,with a 95％confidence interval of 0.767 to 0.917(P＜0.001).The optimal cutoff value is 18.5,with a sensitivity of 0.735 and a specificity of 0.782.Conclusion The developed safety assessment scale for early mobilization in lung transplant patients after surgery demonstrates good reliability and validity,and it can serve as a clinical tool to assess the safety of early mobilization activities in these patients.

Objective To understand the current situation and influencing factors of delirium in lung transplant patients in the early postoperative period,and to construct and verify a risk prediction model.Methods The convenience sampling method was used to select patients who were admitted to a tertiary general hospital in Jiangsu Province for lung transplantation from June 2023 to November 2024.Lasso regression was used to screen variables,and logistic regression analysis was used to explore the influencing factors of early postoperative delirium in lung transplantation patients,and the risk prediction model was constructed and nomogram was drawn.The area under the working curve(AUC)of the subjects and the Hosmer-Lemeshow test were used to evaluate the discrimination and calibration of the model.Internal validation of the model was performed by repeated sampling 1000 times using Bootstrap method.Results A total of 228 lung transplant patients were included in this study,of which 76 developed delirium in the early postoperative period,with an incidence of 33.33％.Age≥51.5 years,hypertension combined with diabetes mellitus,the Lung Allocation System(LAS)score ≥ 75.63,the duration of mean arterial pressure less than 70 mmHg≥ 12.50 min,intraoperative red blood cell transfusion≥750 ml,and midazolam dosage≥102.50 mg were the independent risk factors for early postoperative delirium in lung transplantation(P＜0.05).The AUC of the model was 0.771;the optimal cut-off value was 0.334;the sensitivity and specificity were both 0.724.The results of Hosmer-Lemeshow test showed that x2=5.677,P=0.683;the internal verification showed that the AUC of the model was 0.737,and the absolute error of the actual and predicted values of the calibration curve was 0.023,and the calibration curve was close to the ideal curve.Conclusion Age,hypertension combined with diabetes mellitus,LAS score,duration of mean arterial pressure less than 70 mmHg,amount of intraoperative red blood cell transfusion,and midazolam dosage are the influencing factors for early postoperative delirium in lung transplant patients.The risk prediction model constructed in this study has good predictive performance and can be used as a risk prediction tool for early postoperative delirium in lung transplant patients,helping to timely and accurately identify high-risk groups of delirium,helping to reduce the incidence of early postoperative delirium,and improve patient prognosis.

Objective To understand the current situation and influencing factors of delirium in lung transplant patients in the early postoperative period,and to construct and verify a risk prediction model.Methods The convenience sampling method was used to select patients who were admitted to a tertiary general hospital in Jiangsu Province for lung transplantation from June 2023 to November 2024.Lasso regression was used to screen variables,and logistic regression analysis was used to explore the influencing factors of early postoperative delirium in lung transplantation patients,and the risk prediction model was constructed and nomogram was drawn.The area under the working curve(AUC)of the subjects and the Hosmer-Lemeshow test were used to evaluate the discrimination and calibration of the model.Internal validation of the model was performed by repeated sampling 1000 times using Bootstrap method.Results A total of 228 lung transplant patients were included in this study,of which 76 developed delirium in the early postoperative period,with an incidence of 33.33％.Age≥51.5 years,hypertension combined with diabetes mellitus,the Lung Allocation System(LAS)score ≥ 75.63,the duration of mean arterial pressure less than 70 mmHg≥ 12.50 min,intraoperative red blood cell transfusion≥750 ml,and midazolam dosage≥102.50 mg were the independent risk factors for early postoperative delirium in lung transplantation(P＜0.05).The AUC of the model was 0.771;the optimal cut-off value was 0.334;the sensitivity and specificity were both 0.724.The results of Hosmer-Lemeshow test showed that x2=5.677,P=0.683;the internal verification showed that the AUC of the model was 0.737,and the absolute error of the actual and predicted values of the calibration curve was 0.023,and the calibration curve was close to the ideal curve.Conclusion Age,hypertension combined with diabetes mellitus,LAS score,duration of mean arterial pressure less than 70 mmHg,amount of intraoperative red blood cell transfusion,and midazolam dosage are the influencing factors for early postoperative delirium in lung transplant patients.The risk prediction model constructed in this study has good predictive performance and can be used as a risk prediction tool for early postoperative delirium in lung transplant patients,helping to timely and accurately identify high-risk groups of delirium,helping to reduce the incidence of early postoperative delirium,and improve patient prognosis.

Objective To develop and validate a safety assessment scale for early mobilization in lung transplant patients after surgery.Methods From September 2022 to April 2023,a preliminary scale was constructed using literature analysis,expert meetings,and the Delphi method.From June 2023 to May 2024,a convenience sampling was used to select 135 patients admitted to the lung transplant center of a tertiary general hospital in Jiangsu Province.Item analysis,reliability analysis,and validity analysis were applied to adjust the items,forming the final scale.Results The post-operative early mobilization safety assessment scale for lung transplant patients includes 5 dimensions(consciousness level,vital signs,disease-related factors,mobility,and nutritional status)and 18 items.The inter-rater reliability of the scale is 0.985;the overall content validity index is 0.853;the split-half reliability is 0.716.The area under the receiver operating characteristic curve for predicting adverse events within 72 hours of mobilization is 0.845,with a 95％confidence interval of 0.767 to 0.917(P＜0.001).The optimal cutoff value is 18.5,with a sensitivity of 0.735 and a specificity of 0.782.Conclusion The developed safety assessment scale for early mobilization in lung transplant patients after surgery demonstrates good reliability and validity,and it can serve as a clinical tool to assess the safety of early mobilization activities in these patients.

OBJECTIVE: To explore the immunological mechanisms underlying spermatogenetic malfunction in patients with non-obstructive azoospermia (NOA) based on bioinformatics and machine learning, and to screen out the key genes associated with spermatogenesis failure. METHODS: NOA-related datasets were obtained from the GEO database, and the differentially expressed genes identified by differential analysis and weighted gene co-expression network analysis (WGCNA). A model of spermatogenesis scoring was established for analysis of the immunological microenvironment and cell interaction networks related to spermatogenesis failure. The key genes were screened out by machine learning, followed by analysis of their correlation with T cells and macrophages. An NOA mouse model was constructed for validation of transcriptome sequencing. RESULTS: Seventy-five differentially expressed genes were identified for the establishment of the spermatogenesis scoring model. The low spermatogenesis score group showed a higher infiltration of the immune cells, with an increased proportion of T cells and macrophages and a correlation of cell interaction signals with immunity. SOX30, KCTD19, ASRGL1 and DRC7 were identified by machine learning as the key genes related to spermatogenesis, with down-regulated expressions in the NOA group, and their expression levels negatively correlated with the infiltration of T cells and macrophages. The accuracy of the spermatogenesis scoring and machine learning models, as well as the trend of the expression levels of the key genes, was successfully validated with the transcriptome sequencing data on the NOA mouse testis. CONCLUSION The development of NOA is closely associated with enhanced immunological microenvironment in the testis. T cells and macrophages may play important roles in spermatogenesis failure. SOX30, KCTD19, ASRGL1 and DRC7 are potential biomarkers for the diagnosis and treatment of NOA.
Male ; Azoospermia/genetics* ; Machine Learning ; Animals ; Computational Biology ; Mice ; Humans ; Spermatogenesis/genetics* ; Gene Expression Profiling ; Macrophages/immunology* ; Gene Regulatory Networks ; T-Lymphocytes/immunology* ; Transcriptome

Objective To develop a symptoms assessment scale for lung transplant recipients in early postoperative period,and assess its reliability and validity so as to provide clinical staff with a tool to evaluate the symptoms in the patients in the early period after lung transplantation.Methods With a symptom experience model,a preliminary item pool was established through literature reviews,semi-structured interviews and expert panel meetings between December 2021 and January 2022.Based on the preliminary item pool,an initial scale was proposed after two rounds of expert consultation between February and March 2022.The initial scale was finalised after all items had revised for language expression based on the results of cognitive interviews conducted in March 2022.Subsequently,the final version of the scale was applied in the survey of 116 recipients of lung transplant in the early postoperative stage at Wuxi People's Hospital between April 2022 and February 2023.The reliability and validity of scale were then further tested.Results A total of 112 patients responded to the questionnaire survey.The developed scale comprised 5 dimensions:psychology-related symptoms,respiratory related symptoms,digestive related symptoms,circulatory related symptoms and other symptoms,with 18 symptom items in total.Content validity indexes of the Item-level content validity index(I-CVI))were 0.833 to 1.000 and the Scale-level content validity index(S-CVI)was at 0.954.Exploratory factor analysis revealed five common factors with a cumulative variance contribution rate of 82.366%.All the factors exhibited positive correlations with the scale,with the correlation coefficient at 0.760 to 0.837(P<0.01).The scale demonstrated a Cronbach α coefficient of 0.943,and the Cronbach α coefficients of the five common factors ranged from 0.869 to 0.941.Additionally,the scale exhibited a split-half reliability of 0.840,and the split-half reliability of the five common factors ranged from 0.830 to 0.937.Conclusions The symptoms assessment scale for lung transplant recipients in early postoperative period developed in this study exhibits good reliability and validity.It is feasible for evaluation of early symptoms in lung transplant recipients.

Objective:To conduct a scoping review of the characteristics, functions, risk of bias and applications of home-based self-management behavior assessment tools for lung transplant patients, so as to provide references for clinical medical staff to conduct further related research.Methods:The relevant literatures were systematically searched in China National Knowledge Infrastructure, Wanfang Database, VIP, China Biology Medicine disc, PubMed, Web of Science Core Collection, Embase, Cochrane Library and CINAHL databases. The search period was from the establishment of the databases to June 30, 2023. The scoping review method framework was used to screen the literature, extract information and standardize the report.Results:A total of 10 167 Chinese and English literatures were searched, and after deduplication and screening, 23 articles that met the criteria were finally included, involving 13 home-based self-management behavior assessment tools for lung transplant patients, including nine specific tools and four universal tools. There were eight kinds of lung transplantation patients whose reliability and validity were not verified. Of the 13 tools, those with single-dimensional assessments and single measures predominate. The level of home self-management behavior of lung transplant patients was reflected mainly through compliance, and medication management was the most frequently assessed content.Conclusions:At present, the measurement of home-based self-management behavior of lung transplant patients is mainly based on questionnaire surveys, and the evaluation tools are mostly single dimensional. The reliability and validity of most evaluation tools in the population of lung transplant patients are not yet clear, and there is a certain risk of bias. It is recommended that researchers pay attention to the reliability and validity verification report of the evaluation tool in the target population when selecting it, and integrate multiple measurement methods to reduce measurement errors.