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:Postoperative recurrence is a common complication of percutaneous endoscopic lumbar discectomy for lumbar disc herniation,which can significantly increase the risk of reoperation.A well-performing risk prediction model can help identify high-risk groups early and prevent postoperative recurrence.This study systematically evaluated the risk prediction model for postoperative recurrence after percutaneous endoscopic lumbar discectomy to provide a reference for surgical decision-making.METHODS:The PubMed,Embase,Web of Science,CNKI,WanFang Data,VIP,and CBM were electronically searched to collect studies on the recurrence risk prediction models after percutaneous endoscopic lumbar discectomy from inception to July 1,2024.Two reviewers independently screened the literature and extracted data.The models' risk of bias,applicability,and report quality were assessed using prediction model risk of bias assessment tool(PROBAST)and Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis(TRIPOD)tools,respectively.Meta-analysis of postoperative recurrence rate of percutaneous endoscopic lumbar discectomy and related predictors was performed using Revman 5.4 software.RESULTS:(1)A total of 15 studies were included,all of which were retrospective studies,including 24 models for predicting the risk of recurrence after percutaneous endoscopic lumbar discectomy.(2)The PROBAST evaluation results indicated that all 15 studies exhibited a high risk of bias.Regarding applicability,two studies demonstrated a low risk,while 13 presented a high risk.(3)Regarding the TRIPOD reporting quality,the overall quality across the 15 studies was low.The primary reasons for this low compliance included the failure to report blinding,a lack of explanation for the sample size calculation method,lack of detailed description of missing data processing methods,and lack of information such as introduction to the model used.(4)Furthermore,the area under the receiver operating characteristic curve for the model ranged from 0.684 to 0.972,with the number of potential predictor variables varying from 15 to 28.(5)The results of meta-analysis showed that the postoperative recurrence rate of lumbar disc herniation patients treated with percutaneous endoscopic lumbar discectomy was 12％(95％CI=9.0％-15.0％),Modic changes(OR=6.72,95％CI=3.90-11.59),body mass index(OR=1.28,95％CI=1.10-1.49),work intensity(OR=3.22,95％CI=1.85-5.59),age(OR=2.28,95％CI=1.50-3.48),and smoking history(OR=2.65,95％CI=1.75-4.00)were independent influencing factors for postoperative recurrence of percutaneous endoscopic lumbar discectomy(all P＜0.05).CONCLUSION:The overall predictive performance of the recurrence risk prediction models after percutaneous endoscopic lumbar discectomy is satisfactory;however,the model exhibits a high overall risk of bias and applicability,coupled with low reporting quality.Additionally,there is a lack of prospective research and external validation.Future,risk prediction models should consider factors such as Modic changes,body mass index,work intensity,age,and smoking history as potential predictors.

OBJECTIVE:Postoperative recurrence is a common complication of percutaneous endoscopic lumbar discectomy for lumbar disc herniation,which can significantly increase the risk of reoperation.A well-performing risk prediction model can help identify high-risk groups early and prevent postoperative recurrence.This study systematically evaluated the risk prediction model for postoperative recurrence after percutaneous endoscopic lumbar discectomy to provide a reference for surgical decision-making.METHODS:The PubMed,Embase,Web of Science,CNKI,WanFang Data,VIP,and CBM were electronically searched to collect studies on the recurrence risk prediction models after percutaneous endoscopic lumbar discectomy from inception to July 1,2024.Two reviewers independently screened the literature and extracted data.The models' risk of bias,applicability,and report quality were assessed using prediction model risk of bias assessment tool(PROBAST)and Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis(TRIPOD)tools,respectively.Meta-analysis of postoperative recurrence rate of percutaneous endoscopic lumbar discectomy and related predictors was performed using Revman 5.4 software.RESULTS:(1)A total of 15 studies were included,all of which were retrospective studies,including 24 models for predicting the risk of recurrence after percutaneous endoscopic lumbar discectomy.(2)The PROBAST evaluation results indicated that all 15 studies exhibited a high risk of bias.Regarding applicability,two studies demonstrated a low risk,while 13 presented a high risk.(3)Regarding the TRIPOD reporting quality,the overall quality across the 15 studies was low.The primary reasons for this low compliance included the failure to report blinding,a lack of explanation for the sample size calculation method,lack of detailed description of missing data processing methods,and lack of information such as introduction to the model used.(4)Furthermore,the area under the receiver operating characteristic curve for the model ranged from 0.684 to 0.972,with the number of potential predictor variables varying from 15 to 28.(5)The results of meta-analysis showed that the postoperative recurrence rate of lumbar disc herniation patients treated with percutaneous endoscopic lumbar discectomy was 12％(95％CI=9.0％-15.0％),Modic changes(OR=6.72,95％CI=3.90-11.59),body mass index(OR=1.28,95％CI=1.10-1.49),work intensity(OR=3.22,95％CI=1.85-5.59),age(OR=2.28,95％CI=1.50-3.48),and smoking history(OR=2.65,95％CI=1.75-4.00)were independent influencing factors for postoperative recurrence of percutaneous endoscopic lumbar discectomy(all P＜0.05).CONCLUSION:The overall predictive performance of the recurrence risk prediction models after percutaneous endoscopic lumbar discectomy is satisfactory;however,the model exhibits a high overall risk of bias and applicability,coupled with low reporting quality.Additionally,there is a lack of prospective research and external validation.Future,risk prediction models should consider factors such as Modic changes,body mass index,work intensity,age,and smoking history as potential predictors.

The incidence and mortality rates of lung cancer remain high, making it the leading cause of cancer-related deaths. In women, the predominant histological subtype is lung adenocarcinoma, commonly associated with epidermal growth factor receptor (EGFR) mutations, and EGFR-tyrosine kinase inhibitors (EGFR-TKIs) can significantly improve patient prognosis. Metastasis of primary lung cancer to the endometrium is extremely rare and is often misdiagnosed as a primary reproductive system tumor, and its occurrence indicates poor prognosis. This article reports a case of an advanced lung adenocarcinoma patient with EGFR mutation, who developed abnormal vaginal bleeding after EGFR-TKIs treatment failure, and biopsy confirmed endometrial metastasis. A review of similar cases is also presented.
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Humans ; Female ; ErbB Receptors/metabolism* ; Endometrial Neoplasms/genetics* ; Lung Neoplasms/genetics* ; Protein Kinase Inhibitors/therapeutic use* ; Adenocarcinoma of Lung/drug therapy* ; Treatment Failure ; Middle Aged ; Adenocarcinoma/genetics*

ObjectiveTo analyse the clinical characteristics of different traditional Chinese medicine （TCM） syndromes in patients with heart failure based on information from electronic medical record. MethodsA cross-sectional study was conducted to collect clinical data of all inpatients with heart failure in the Department of Cardiology， Affiliated Hospital of Liaoning University of Traditional Chinese Medicine from January 1， 2019 to December 31， 2020. A database of clinical TCM data was established to explore the characteristics of clinical data of basic information， syndromes and syndrome element types， and biochemical indexes. The distribution of TCM syndromes and syndrome elements in heart failure patients were also analysed， and the basic information and biochemical indexes of the patients with top 7 different TCM syndrome types were compared. ResultsA total of 1676 inpatients with heart fai-lure were included. The top 7 TCM syndromes of heart failure were syndrome of phlegm turbidity and blood stasis （477 cases， 28.46%）， syndrome of qi deficiency and blood stasis （439 cases， 26.19%）， syndrome of qi deficiency and blood stasis with water retention （274 cases， 16.35%）， syndrome of yang deficiency with water retention （145 cases， 8.65%）， syndrome of qi and yin deficiency （104 cases， 6.21%）， syndrome of qi and yin deficiency with blood stasis （80 cases， 4.77%）， syndrome of heart yang deficiency （59 cases， 3.52%）. Among the 1676 patients， 6 syndrome elements accounted for more than 5%. Blood stasis accounted for the highest proportion of TCM syndrome element type （1292 cases， 77.09%）， followed by qi deficiency （919 cases， 54.83%）， phlegm （498 cases， 29.71%）， water retention （434 cases， 25.89%）， yang deficiency （215 cases， 12.82%） and yin deficiency （191 cases， 11.40%）. Among the 1676 patients， 1308 cases of acute heart failure mainly showed syndrome of phlegm turbidity and blood stasis （386 cases， 29.51%）， and 368 of chronic heart fai-lure mainly showed syndrome of qi deficiency and blood stasis （118 cases， 32.07%）. Patients with syndrome of phlegm turbidity and blood stasis had the shortest disease duration of 0.3 months， while those with syndrome of heart yang deficiency had the longest disease duration of 15 months. The proportion of syndrome of phlegm turbidity and blood stasis was the highest in patients with heart failure combined with coronary artery disease， the proportion of syndrome of qi deficiency and blood stasis with water retention was the highest in patients with heart failure combined with atrial fibrillation， and the proportion of patients with syndrome of qi deficiency and blood stasis with water retention and syndrome of yang deficiency with water retention in those applying diuretics during the hospital stay was the highest with more than 86%. The different 7 TCM syndromes showed statistically difference in patients with complications including coronary artery disease， old myocardial infarction， atrial fibrillation， pre and post-admission medication usage including intravenous vasodilators， cardiac stimulants， diuretics， and level of blood chloride， blood urea， blood creatinine， blood bicarbonate， blood albumin， and blood total bilirubin （P＜0.05）. ConclusionThe most common TCM syndromes in patients with heart failure are syndrome of phlegm turbidity and blood stasis and syndrome of qi deficiency and blood stasis. Different TCM syndromes have different characteristics in gender， disease complications， medication before and after admission， and blood indexes.

Objective　To explore the application of time series models based on meteorological factors in the population density of Aedes albopictus in Hainan Province, and to provide a scientific basis for the prevention and control of dengue fever in Hainan Province. Methods　The density of Aedes albopictus in different habitats in 18 cities and counties of Hainan Province from 2017 to 2022 was monitored monthly using the double-mosquito net trapping index and the Breteau index. Mann-Kendall trend test was used to analyze the temporal trends of the two density indices; Spearman's correlation analysis was employed to assess the correlation strength between each meteorological factor and the two indexes, eliminating unrelated variables, and further selecting the final variables through the full-subset regression method. Three time-series models were constructed for the two density indices, with root mean square error (RMSE), mean absolute error (MAE), and other accuracy metrics used to determine the optimal model; predictions for the density indices for 2023-2024 were made. All statistical analyses were performed in R (4.3.1). Results　The net trapping and Breteau indices showed an overall decrease over the years (Z-values of Mann-Kendall trend test were -6.15 and -4.03, respectively, and P<0.05). The meteorological factor most strongly associated with the trap index was the monthly average minimum temperature; monthly mean minimum temperature and monthly mean relative humidity were strongly correlated with the Breteau index. Based on various evaluation indicators, the multivariate time series model demonstrated the highest accuracy. The study predicts one to two peaks in both the trap index and Breteau Index for the years 2023 and 2024, with peak periods occurring between June to September and May to September, respectively. The predicted value for 2023 aligns with the measured value, demonstrating outstanding predictive accuracy. Conclusions　This study has introduced meteorological factors into the seasonal time series model, allowing for more accurate predictions of the density of Aedes albopictus in Hainan Province from 2023 to 2024, providing a model framework for the prevention and control of dengue fever in Hainan Province.

Objective: To explore the mediating effect of depressive symptom on the relationship between peer bullying patterns and suicidal ideation, and to provide suggestions for school bullying and suicide prevention for adolescents. Methods: A follow up cohort was established in a junior middle school in Suixi County, Anhui Province in September 2019 (T1). The first follow up was conducted in September 2020 (T2). A total of 1 687 junior high school students participated in this study. Self designed peer bullying questionnaire,center for Epidemiological Studies Depression Scale for children,and questions regarding suicide related behaviors were administered. Results: Prevalence of suicidal ideation, victimization and bullying were 28.3%, 27.0% and 24.4%, respectively. The latent class analysis(LCA) identified three heterogeneous peer bullying classes: low aggressive victims(71.4%), high aggressive victims(3.3%), high verbal and relational aggressive victims( 25.3 %). The low aggressive victims class was used as the reference group, T1 depressive symptom mediated the association between high aggressive victims(mediating effect=0.43, P < 0.05 ), high verbal and relational aggressive victims class (mediating effect= 0.29 , P <0.05) and T2 suicidal ideation. Conclusion Depressive symptom plays a mediating role in the relationship between peer bullying and suicidal ideation. In order to prevent peer bullying and suicide related psychological behaviors of adolescents, educators should pay attention to adolescents mental health when formulating corresponding measures.

Objective: To explore the relationship between different types of bullying behavior and depressive symptoms among adolescents, and to provide scientific basis for further prevention of peer bullying. Methods: Based on the follow up data of 1 687 adolescents from Huaibei City, Anhui Province in September 2019 (T1) and September 2020 (T2), the autoregressive cross lagged analysis was employed to explore the relationship between different types of peer bullying and depressive symptoms. Results: The scores of bullying behaviors (physical bullying, verbal bullying, relational bullying and cyber bullying) and depressive symptoms at T2 were lower than those at T1,and the differences were statistically significant ( t =13.60, 8.61,7.24,3.76,8.29, P <0.01). There was a positive correlation between bullying behavior and depressive symptoms ( P <0.01). The results from cross lagged regression analysis showed that physical, verbal, relational and cyber bullying at T1 could positively predict depressive symptoms at T2 ( β = 0.06 , 0.04, 0.12, 0.05), and physical, verbal, relational and cyber bullying at T1 could positively predict depressive symptoms at T2 ( β =0.07, 0.10, 0.13, 0.10) ( P <0.05). Conclusion There were bidirectional associations between adolescent peer bullying and depressive symptoms.

Depression is a common and recurrent mental disease, with complex etiology, which is mainly affected by genetic, metabolic and social factors. The specific pathogenesis is still unclear. In recent years, the hypothesis of inflammatory factors related to depression has attracted wide attention of researchers. A large number of clinical experimental studies have shown that depression is related to the increase of proinflammatory factors in central and peripheral blood. The inflammatory factors in peripheral blood can spread in the brain through the way of specific transporters across the blood-brain barrier, and activate or participate in the brain inflammatory response, and ultimately affect the neuronal activity and neurotransmitter release in the emotional regulation area of the brain, which in turn leads to depressive symptoms. This paper summarizes the relationship between inflammatory factors and depression and its possible mechanism, which provides reference for further prevention and control, clinical treatment and scientific research of depression.

Depression is a common and recurrent mental disease, with complex etiology, which is mainly affected by genetic, metabolic and social factors. The specific pathogenesis is still unclear. In recent years, the hypothesis of inflammatory factors related to depression has attracted wide attention of researchers. A large number of clinical experimental studies have shown that depression is related to the increase of proinflammatory factors in central and peripheral blood. The inflammatory factors in peripheral blood can spread in the brain through the way of specific transporters across the blood-brain barrier, and activate or participate in the brain inflammatory response, and ultimately affect the neuronal activity and neurotransmitter release in the emotional regulation area of the brain, which in turn leads to depressive symptoms. This paper summarizes the relationship between inflammatory factors and depression and its possible mechanism, which provides reference for further prevention and control, clinical treatment and scientific research of depression.