Objective:To understand the current status of epidemiological investigation task force construction and the performance of infectious disease epidemic response in county (district) Centers for Disease Control and Prevention (CDCs) in China, analyze the influencing factors and provide scientific evidence to improve the construction of grassroot epidemiological investigation task force.Methods:A survey was conducted in epidemiological investigation staff in county (district) CDCs in 31 provinces (autonomous regions/municipalities) and Xinjiang Production and Construction Corps in China. A self-designed questionnaire was used to collect information based on the epidemiological dynamic data collection platform of China CDC. A descriptive epidemiological analysis was conducted, and multiple linear regression models were used to identify the factors associated with the performance of infectious disease epidemic response.Results:A total of 24 934 epidemiological investigation task force members from 2 897 county (district) CDCs were surveyed in the study. In the epidemiological investigation task force, women, those with bachelor's degree and public health workers accounted for 62.46%, 71.36%, and 49.05% respectively. Up to 91.72% of the task force members had participated in field epidemic response. The average score of awareness of epidemic investigation procedures was 60.00, while the average score of key skill proficiency in the investigation was 42.22. The epidemic response performance showed correlations with area, gender, age, education level, major, and field epidemiology training programs, those who had received longer training showed higher competency scores (all P<0.001). Conclusions:Progress has been made in the construction of epidemiological investigation task force in grass-root CDCs in China, but further improvements are needed, especially in the knowledge awareness and investigation skills of the task force. Field epidemiology training demonstrated substantial impact on the improvement of epidemic response performance, indicating that it is necessary to further strengthen the training in grassroot public health workers for the better response to infectious disease epidemics.

Hereditary angioedema (HAE) is a rare autosomal dominant genetic disorder characterized by recurrent episodes of subcutaneous and submucosal edema, which can be life-threatening in severe cases. Lanadelumab, a recombinant human monoclonal antibody against kallikrein, has been recommended as a first-line option for long-term prophylaxis of HAE. This paper analyzed the clinical data of four patients with HAE diagnosed and treated with lanadelumab for long-term prophylaxis in our department since 2020. It also reviewed relevant literature, summarizing the clinical manifestations of HAE, as well as the efficacy and safety of lanadelumab in treating HAE, to provide therapeutic references for clinicians.

Objective:To explore the risk factors for severe acute kidney injury (AKI) in children with sepsis in the pediatric intensive care unit (PICU) and construct a prediction model to assist early clinical identification.Methods:A retrospective analysis was performed on clinical data of 987 children with sepsis admitted to the PICU of Hunan Children′s Hospital from July 1, 2018 to January 31, 2021. Children who developed severe AKI during hospitalization were included in the AKI stage 2-3 group ( n=228), and the remaining were included in the No-AKI/AKI stage 1 group ( n=759). General information and biochemical indicators were compared between the two groups. Logistic regression analysis was used to identify risk factors for severe AKI in children with sepsis, and a prediction model and nomogram were established. Results:The mortality rate in the AKI stage 2-3 group was 2.49 times that of the No-AKI/AKI stage 1 group [31.1%(71/228) vs 12.5%(95/759), P<0.05]. Compared with the No-AKI/AKI stage 1 group, the AKI stage 2-3 group had lower levels of platelet count (PLT), total protein (TP), albumin (ALB), antithrombin Ⅲ (AT3), and fibrinogen (FIB), but higher levels of lactate dehydrogenase (LDH), serum creatinine (SCr), blood urea nitrogen (BUN), magnesium ion (Mg 2+ ), activated partial thromboplastin time (APTT), fibrinogen degradation products (FDP), and D-dimer (D-D) (all P<0.05), with no significant difference in total bile acid (TBAC) ( P>0.05). Multivariate logistic regression analysis showed that decreased AT3 ( OR=0.989, 95% CI: 0.980-0.997, P=0.007), increased LDH ( OR=1.001, 95% CI: 1.000-1.001, P<0.001), increased SCr ( OR=1.051, 95% CI: 1.037-1.066, P<0.001), and increased BUN ( OR=1.099, 95% CI: 1.028-1.174, P=0.005) were risk factors for severe AKI in children with sepsis. The prediction model was Logist Pr=-3.184-0.012 X1+ 0.001 X2+ 0.050 X3+ 0.094 X4 ( X1=AT3, X2=LDH, X3=SCr, X4=BUN), with the optimal cut-off value of 0.374 (Youden index=0.560). A nomogram was constructed by binary assignment of predictive variables, with an area under the curve of 0.826 (95% CI: 0.790-0.861, P<0.001). Conclusions:The mortality rate of septic children with severe AKI in PICU is significantly increased. Decreased AT3, and increased LDH, SCr, and BUN are risk factors for severe AKI in children with sepsis. Clinicians should be alert to severe AKI when the predicted probability of the early warning model exceeds 0.374.

Objective:To investigate the status of post-traumatic stress disorder (PTSD) and its influencing factors in postoperative breast cancer patients.Methods:A convenience sampling method was used to select 410 postoperative breast cancer patients from the Provincial Hospital of the First Medical University of Shandong between January 2023 and December 2024. The PTSD Checklist-Civilian Version (PCL-C), the Connor-Davidson Resilience Scale (CD-RISC), and the Simple Coping Style Questionnaire (SCSQ) were used for assessment. Binary Logistic regression analysis was performed to analyze influencing factors.Results:A total of 410 questionnaires were distributed, and 405 valid questionnaires were returned, with an effective recovery rate of 98.78% (405/410). Among them, 150 patients were PTSD-positive. Binary Logistic regression analysis showed that educational level, monthly family income, psychological resilience, and coping style were influencing factors for PTSD in postoperative breast cancer patients ( P<0.05) . Conclusions:Low education level, low income, and negative coping style are risk factors for PTSD in postoperative breast cancer patients; positive coping style and high psychological resilience are protective factors. Clinical practitioners should develop preventive or intervention measures based on these influencing factors to reduce the occurrence of PTSD in postoperative breast cancer patients.

Tumor-targeted therapy is a vital approach in precision medicine,selection of target molecule is a key element in tumor-targeted therapy.B7-H3(CD276),as an immune checkpoint molecule selectively highly expressed on tumor cells,is a crucial molecule involved in regulation of tumor immunity.Numerous recent studies have found that B7-H3,in addition to its immune check-point function,also participates in regulation of malignant biological behaviors of tumor cells and is considered to have great potential as a pan-cancer universal drug target.Current immunotherapeutic strategies targeting B7-H3 primarily include development of block-ing monoclonal antibodies(Blocking mAb),antibody-drug conjugate(ADC),chimeric antigen receptor(CAR)T/NK cell therapies,monoclonal antibody dependent cellular cytotoxicity(ADCC)drugs,radionuclide drug conjugates(RDC),bispecific/trispecific anti-body(BsAb/TriAb),and antibody cytokine drug combinations,among others.These strategies aim to enhance body's immune re-sponse to cancer through various mechanisms,thereby inhibiting tumor growth and metastasis.Multiple preclinical and clinical studies have shown that immunotherapy targeting B7-H3 has potential therapeutic value.Therefore,this article mainly reviews the latest status of development of tumor immunotherapy drugs targeting B7-H3 molecule.

Objective:To investigate the status of post-traumatic stress disorder (PTSD) and its influencing factors in postoperative breast cancer patients.Methods:A convenience sampling method was used to select 410 postoperative breast cancer patients from the Provincial Hospital of the First Medical University of Shandong between January 2023 and December 2024. The PTSD Checklist-Civilian Version (PCL-C), the Connor-Davidson Resilience Scale (CD-RISC), and the Simple Coping Style Questionnaire (SCSQ) were used for assessment. Binary Logistic regression analysis was performed to analyze influencing factors.Results:A total of 410 questionnaires were distributed, and 405 valid questionnaires were returned, with an effective recovery rate of 98.78% (405/410). Among them, 150 patients were PTSD-positive. Binary Logistic regression analysis showed that educational level, monthly family income, psychological resilience, and coping style were influencing factors for PTSD in postoperative breast cancer patients ( P<0.05) . Conclusions:Low education level, low income, and negative coping style are risk factors for PTSD in postoperative breast cancer patients; positive coping style and high psychological resilience are protective factors. Clinical practitioners should develop preventive or intervention measures based on these influencing factors to reduce the occurrence of PTSD in postoperative breast cancer patients.

Objective:To construct Nomogram prediction model for pulmonary infection in patients after aortic dissection surgery, so as to provide reference for early screening of high-risk groups and carrying out preventive nursing measures.Methods:This was a retrospective case-control study. The case data of patients after aortic dissection surgery in the Second Affiliated Hospital of Anhui Medical University from January 2020 to October 2023 were selected by convenient sampling method and divided into pulmonary infection group and non-pulmonary infection group according to whether pulmonary infection occurred within one week after surgery. The risk factors of pulmonary infection after aortic dissection surgery were analyzed by Logistic regression and the Nomogram prediction model was constructed by R4.3.3.The model was evaluated by area under the receiver operating characteristic curve, calibration curve and decision curve analysis.Results:A total of 324 patients with aortic dissection were collected, and the incidence of postoperative pulmonary infection was 26.9%(87/324). There were 87 cases in pulmonary infection group, including 65 males and 22 females, with a median age of 58.0 years. There were 237 cases in non-pulmonary infection group, including 180 males and 57 females, with a median age of 60.0 years. Finally, operation time ( OR=1.015, 95% CI 1.007-1.022), intraoperative blood transfusion ( OR=1.001, 95% CI 1.000-1.022), mechanical ventilation time ( OR=7.624, 95% CI 2.679-21.692), postoperative invasive operation ( OR=6.310, 95% CI 1.545-25.778) and postoperative renal insufficiency ( OR=6.723, 95% CI 1.219-37.063) were independent risk factors for pulmonary infection after aortic dissection surgery. The area under the receiver operating characteristic curve of the model was 0.978, sensitivity of 93.7%, and specificity of 90.8%. The calibration curve showed good consistency, and the decision curve analysis curve showed good net benefit. Conclusions:Operation time, intraoperative blood transfusion, mechanical ventilation time, postoperative invasive operation and postoperative renal insufficiency are high-risk factors of pulmonary infection after aortic dissection surgery and the constructed predictive model has predictive value.

Objective:To construct an early rehabilitation management model for postoperative kinesiophobia patients after total knee arthroplasty (TKA) based on a topic-oriented quality control circle method, aiming to improve the quality of early rehabilitation management.Methods:Using a convenience sampling method, 120 TKA patients with kinesiophobia treated in the Department of Orthopedics at the First Affiliated Hospital of Zhengzhou University from January to April 2022 and September to December 2022 were selected. The patients from January to April 2022 were set as the control group, and those from September to December 2022 were set as the observation group, with 60 patients in each group. The control group received routine rehabilitation management after TKA surgery, while the observation group received the early rehabilitation management model based on the 10 steps of the topic-oriented quality control circle (topic selection, activity planning, clarification of the topic, goal setting, countermeasure formulation, pursuit of optimal strategies, etc.) in addition to the routine management. The differences between the two groups were compared in terms of kinesiophobia score, knee function score, pain score, early rehabilitation assessment rate, effective analgesia rate, and 24-hour ambulation rate.Results:After the intervention, the observation group showed significantly lower knee pain scores (2.89±0.66) and kinesiophobia scores (23.27±4.87) compared to the control group, with a significantly higher knee function score (74.47±7.40), all differences were statistically significant (all P<0.01). Additionally, the observation group had a significantly higher early rehabilitation assessment rate, effective analgesia rate, 24-hour ambulation rate, early rehabilitation compliance rate, earlier time for the first ambulation, shorter hospital stay, and reduced costs compared to the control group, with all differences showing statistical significance (all P<0.01) . Conclusions:The application of the topic-oriented quality control circle to construct and implement an early rehabilitation management model for postoperative kinesiophobia patients after TKA can effectively improve the quality of early rehabilitation management, reduce kinesiophobia levels, enhance knee joint function, and alleviate the economic burden.

Objective:To understand the current status of epidemiological investigation task force construction and the performance of infectious disease epidemic response in county (district) Centers for Disease Control and Prevention (CDCs) in China, analyze the influencing factors and provide scientific evidence to improve the construction of grassroot epidemiological investigation task force.Methods:A survey was conducted in epidemiological investigation staff in county (district) CDCs in 31 provinces (autonomous regions/municipalities) and Xinjiang Production and Construction Corps in China. A self-designed questionnaire was used to collect information based on the epidemiological dynamic data collection platform of China CDC. A descriptive epidemiological analysis was conducted, and multiple linear regression models were used to identify the factors associated with the performance of infectious disease epidemic response.Results:A total of 24 934 epidemiological investigation task force members from 2 897 county (district) CDCs were surveyed in the study. In the epidemiological investigation task force, women, those with bachelor's degree and public health workers accounted for 62.46%, 71.36%, and 49.05% respectively. Up to 91.72% of the task force members had participated in field epidemic response. The average score of awareness of epidemic investigation procedures was 60.00, while the average score of key skill proficiency in the investigation was 42.22. The epidemic response performance showed correlations with area, gender, age, education level, major, and field epidemiology training programs, those who had received longer training showed higher competency scores (all P<0.001). Conclusions:Progress has been made in the construction of epidemiological investigation task force in grass-root CDCs in China, but further improvements are needed, especially in the knowledge awareness and investigation skills of the task force. Field epidemiology training demonstrated substantial impact on the improvement of epidemic response performance, indicating that it is necessary to further strengthen the training in grassroot public health workers for the better response to infectious disease epidemics.

Objective:To construct Nomogram prediction model for pulmonary infection in patients after aortic dissection surgery, so as to provide reference for early screening of high-risk groups and carrying out preventive nursing measures.Methods:This was a retrospective case-control study. The case data of patients after aortic dissection surgery in the Second Affiliated Hospital of Anhui Medical University from January 2020 to October 2023 were selected by convenient sampling method and divided into pulmonary infection group and non-pulmonary infection group according to whether pulmonary infection occurred within one week after surgery. The risk factors of pulmonary infection after aortic dissection surgery were analyzed by Logistic regression and the Nomogram prediction model was constructed by R4.3.3.The model was evaluated by area under the receiver operating characteristic curve, calibration curve and decision curve analysis.Results:A total of 324 patients with aortic dissection were collected, and the incidence of postoperative pulmonary infection was 26.9%(87/324). There were 87 cases in pulmonary infection group, including 65 males and 22 females, with a median age of 58.0 years. There were 237 cases in non-pulmonary infection group, including 180 males and 57 females, with a median age of 60.0 years. Finally, operation time ( OR=1.015, 95% CI 1.007-1.022), intraoperative blood transfusion ( OR=1.001, 95% CI 1.000-1.022), mechanical ventilation time ( OR=7.624, 95% CI 2.679-21.692), postoperative invasive operation ( OR=6.310, 95% CI 1.545-25.778) and postoperative renal insufficiency ( OR=6.723, 95% CI 1.219-37.063) were independent risk factors for pulmonary infection after aortic dissection surgery. The area under the receiver operating characteristic curve of the model was 0.978, sensitivity of 93.7%, and specificity of 90.8%. The calibration curve showed good consistency, and the decision curve analysis curve showed good net benefit. Conclusions:Operation time, intraoperative blood transfusion, mechanical ventilation time, postoperative invasive operation and postoperative renal insufficiency are high-risk factors of pulmonary infection after aortic dissection surgery and the constructed predictive model has predictive value.