Exportin 1 (XPO1) is aberrantly overexpressed in various malignant tumors and can lead to the loss of anti-tumor effects of important tumor suppressor proteins such as p53, RB1, and FOXO by mediating their nuclear export. Although XPO1 inhibitor Selinexor has entered clinical application, its single-agent anti-tumor activity remains suboptimal, which is closely related to the compensatory activation of multiple signaling pathways in response to XPO1 inhibition. Focusing on the core regulatory role of XPO1 in tumor cells, this article systematically summarizes the current landscape of combination therapies involving XPO1 inhibitors and various targeted agents, including inhibitors of CDK4/6, FLT3, BET, ATR, and BCL2/MDM2, aiming to provide some reference for the development of XPO1-centered combination therapy strategies.

For rare real-world data involving off-label drug use or comorbidity-associated polypharmacy,researchers have increasingly adopted target trial emulation to investigate drug repurposing for target indications.The success of such studies hinges on rigorous trial design and strict adherence to predefined protocols and standardized pipelines.Key elements in the trial design include the precise definition of inclusion and exclusion criteria,the selection of trial and control drugs and determination of treatment allocation time,the determination of appropriate efficacy endpoints for the target indication,the identification of causal estimands,and the development of robust strategies for confounding adjustment.The execution of the trial follows a structured process:screening eligible subjects,extracting relevant drug exposure data,constructing treatment and control groups,emulating the target trial,and ultimately generating hypotheses for drug repurposing through statistical inference.Propensity score methods,including stratification,matching and weighting techniques,are critical tools for addressing confounding bias and ensuring accurate estimation of causal effects.In recent years,creative progress has been made in target trial emulation,particularly in the calculation of propensity scores.Researchers have adopted advanced machine learning techniques,to enhance variable selection and have actively explored the use of innovative methods of digital intelligence technology like classification and regression trees,support vector machines,and deep learning for the application of propensity score calculation.Target trial emulation based on real-world data has achieved remarkable advancements in drug repurposing,demonstrating broad application prospects,particularly in cardiovascular diseases,metabolic disorders,Alzheimer's disease,and cancer.

For rare real-world data involving off-label drug use or comorbidity-associated polypharmacy,researchers have increasingly adopted target trial emulation to investigate drug repurposing for target indications.The success of such studies hinges on rigorous trial design and strict adherence to predefined protocols and standardized pipelines.Key elements in the trial design include the precise definition of inclusion and exclusion criteria,the selection of trial and control drugs and determination of treatment allocation time,the determination of appropriate efficacy endpoints for the target indication,the identification of causal estimands,and the development of robust strategies for confounding adjustment.The execution of the trial follows a structured process:screening eligible subjects,extracting relevant drug exposure data,constructing treatment and control groups,emulating the target trial,and ultimately generating hypotheses for drug repurposing through statistical inference.Propensity score methods,including stratification,matching and weighting techniques,are critical tools for addressing confounding bias and ensuring accurate estimation of causal effects.In recent years,creative progress has been made in target trial emulation,particularly in the calculation of propensity scores.Researchers have adopted advanced machine learning techniques,to enhance variable selection and have actively explored the use of innovative methods of digital intelligence technology like classification and regression trees,support vector machines,and deep learning for the application of propensity score calculation.Target trial emulation based on real-world data has achieved remarkable advancements in drug repurposing,demonstrating broad application prospects,particularly in cardiovascular diseases,metabolic disorders,Alzheimer's disease,and cancer.

Objective:To investigate the allocation of nursing human resources in burn centers in China.Methods:A cross-sectional survey was conducted. Using a self-designed questionnaire, a survey was carried out from January to March 2022 to investigate the January to December 2021 status of 39 burn centers in China that met the inclusion criteria based on six strategic regions and other regions, including the hospital grade and the region, the number of nurses and opening beds in the burn centers and burn intensive care units (BICUs), the age, working seniority in burn specialty, educational background, professional title, personnel employment, and turnover of nurses and training of newly recruited nurses in the burn centers.Results:This survey covered 30 provinces, municipalities, and autonomous regions in China (excluding Hong Kong Special Administrative Region, Macao Special Administrative Region, and Taiwan region of China). A total of 39 questionnaires were collected, all of which were valid. The 39 burn centers were located in 38 tertiary A hospitals and 1 tertiary B hospital, with 26 burn centers in strategic areas. The nurse/bed ratio of burn centers in the Greater Bay Area of Guangdong, Hong Kong, and Macao was the highest, while the nurse/bed ratio of burn centers in border ethnic minority area was the lowest. Except for the Chengdu-Chongqing Economic Circle, BICUs had been set up in burn centers in other regions. Among the 39 burn centers, the percentage of nurses aged 25 to 34 years was 51.21% (738/1 441), the percentage of nurses worked in burn specialty for less than 5 years was 31.16% (449/1 441), the percentage of nurses with bachelor's degree was 69.74% (1 005/1 441), and the percentage of nurses with nursing professional title was 44.14% (636/1 441), which were the highest. There were significant differences in the employment of nurses, the percentage of permanent nurses in burn centers in the collaborative development zone of Beijing-Tianjin-Hebei was 82.48% (113/137), while the percentage of permanent nurses in burn centers in important military strategic area was only 9.42% (34/361); the turnover rate of nurses was 9.03% (143/1 584), among which the turnover rate of nurses was 18.14% (80/441) in burn centers in important military strategic area. The training for newly recruited nurses in 39 burn centers was mainly based on the guidance of senior nurses and the pre-job education+specialist training.Conclusions:The burn nursing human resources in strategic areas in China are seriously insufficient and unevenly distributed, with unstable nurse team and lack of standardized specialist training. In particular, the nursing human resources in BICUs need to be equipped and supplemented urgently.

Objective: To understand the underreporting rate of death among residents in Zhejiang Province from 2016 to 2018, so as to provide a basis for improvement of death surveillance measures. Methods: Multi-stage random cluster sampling was used to select residents in 30 public health surveillance areas of Zhejiang Province and all the residents were investigated the general information and death conditions that occurred during the period 2016-2018 by door to door visit. The underreporting rate of death was calculated and descriptive methods were used to analyze the causes of underreporting deaths. Results: A total of 358 992 residents were investigated in 30 public health surveillance areas of Zhejiang Province. There were 63 underreporting deaths among 5 896 deaths, with an underreporting rate of 1.07%. The underreporting rate in men was 1.30%, which was higher than 0.75% in women ( P<0.05 ). The underreporting rate of residents aged 20 to <40 years was 6.74%, the highest among all the age groups ( P<0.05 ). The underreporting rate was 4.46% on the way to the hospital, the highest among all the places of death ( P<0.05 ). The underreporting rate in Wuxing District of Huzhou was 5.80%, the highest among all the surveillance areas. There were 25 cases of "late report or untimely review", accounting for 39.68%; 38 cases of "not report", accounting for 60.32%, of which 14 cases were caused by doctors forgetting to report, accounting for 22.22%. Conclusion The underreporting rate of death in Zhejiang Province from 2016 to 2018 is generally low. In response to underreporting deaths, multi-departmental collaboration should be promoted to effectively strengthen the reporting and management of routine death surveillance.

Objective To explore the effect of QCC activities on the compliance of hand hygiene of nurses in Burn Department.Methods From March 201 3 to July 201 3,we set up the QCC group,designed the prevalence survey questionnaire of compliance of hand hygiene,analyzed the root causes by using QCC method;as a result,three measures were developed and implemented.Results After the activity,unqualified rate of hand hygiene of nurses in Burn Department reduced from 35.6% to 7.8%(P <0.05).Conclusions QCC activities can effectively improve the compliance of hand hygiene of nurses in Burn Department.

Objective To analyze the effects of hand hygiene compliance training and standardization management of cleaner on infection control in burn care unit.Methods From 1 st September 201 4 to 30th November 201 4,nine cleaners in burn care unit accepted system training including workflow,regulations and standard on the basis of routine work.The hand washing compliance and the knowledge of infection control were analyzed before and after training,and we analyzed whether the types of bacteria on cleaner′s hand and the wound bacteria of patients were the same.Results Except Klebsiella pneumoniae,all other bacteria strains were both found in cleaner′hands and patients′wounds.After training,the compliance of washing hands before and after operation or contacting patients,or after touching patient′body fluids were improved(P <0.05).After the training,the hand hygiene timing,importance of hand-washing,six-step hand sanitizer,disinfectant use, pollution items and clean bed standard scores were all higher than those before the training (P <0.01 ). Conclusions Improving cleaner′hand hygiene compliance and strengthening standardized training can reduce the chance of cross-infection in burn patients and reduce ICU infection rates.

Objective To explore the implementation effect of admission education by stage for burned children families. Methods A total of 186 burned children′s families from January to May in 2013 were chosen as the control group, while 174 burned children′s families from June to December in 2013 were selected as the experimental group. Families in both groups received the same education content after admission, and the education were carried out after admission immediately in the control group while it happened in two hours after admission and were arranged according to the situation to just in the experimental group. We observed the families coverage, compliance, results of education and satisfaction of nursing. Results The coverage of families′ health education was 100% , compliance was 93% in the experimental group with statistically significance in the control group (χ2 = 9. 124 1, 64. 445 9;P < 0. 05); the result of health education in the experimental group was better than that of the control group (P < 0. 05); the nursing satisfaction of families was 100% in the control group which was higher than 93% of the control group ( χ2 = 12. 616 9, P < 0. 05). Conclusions Phased admission education can not only make burned children family control education content, it can also largely improve satisfaction, reduce duplication of propaganda and education, workload and nursing complaints, contribute nursing quality and work efficiency.

OBJECTIVETo estimate the rates due to influenza-associated-excess-hospitalization in children aged 0-14 years in Wuxi city,Jiangsu province in 2005-2010.

METHODSWe collected data on hospitalization due to influenza, pneumonia and other respiratory diseases from fourteen 2nd level or above hospitals in Wuxi, as well as data on influenza virological surveillance in southern China to fit the negative binomial regression models, to estimate the rate on influenza-associated-excess hospitalization.

RESULTSDuring 2005-2010, an average annual hospitalization rate appeared as 91.6‰ (79.2‰ -99.3‰). Among the total hospitalization eases, respiratory diseases accounted for 54.2%, while both influenza and pneumonia accounted for 38.1%. The average annual influenza- associated-excess-hospitalization rates due to influenza and pneumonia appeared as 1.28‰ (95% CI:0.29‰ -4.84‰), while 2.18‰ (95% CI:0.61‰ -6.79‰) due to respiratory diseases. In 2009, A (H1N1) pdm induced influenza pandemic caused 993 excess hospitalizations due to influenza/pneumonia and 1 042 excess hospitalizations due to respiratory diseases, with rates as 1.14‰ and 1.20‰ respectively.

CONCLUSIONBoth seasonal and pandemic A(H1N1)pdm influenza caused considerable burden on hospitalization in children aged 0-14 years inWuxi.

Adolescent ; Child ; Child, Preschool ; China ; epidemiology ; Female ; Hospitalization ; statistics & numerical data ; Humans ; Infant ; Infant, Newborn ; Influenza, Human ; epidemiology ; Male