Objective To understand the recognition and coping strategies of ICU nurses on post-ICU syndrome in family members of patients during hospitalisation so as to provide a reference for handling post-ICU syndrome of the family members of patients.Methods A phenomenological approach within qualitative research was adopted.Semi-structured in-depth interviews were conducted with 15 ICU nurses from 3 wards of the Second Affiliated Hospital of South China University.Colaizzi 7-step method was applied to analyse and refine the interview data themes.Results Three main themes and nine sub-themes were identified and they were insufficient cognition of post-ICU syndrome of the family members(limited understanding of post-ICU syndrome in family members,difficulty in recognising or ignoring symptoms,uncertainty about the impact of post-ICU syndrome),active coping with post-ICU syndrome of the family members(coping mainly through listening and explaining,coping mainly through verbal and physical actions,diligent patient care)and various factors hindering nurses'coping with post-ICU syndrome of the family members(compassion fatigue,high ICU work intensity,limited contact time with family members).Conclusion ICU nurses have insufficient understanding of post-ICU syndrome with the family members of patients during hospitalisation.It requires to enhance a comprehensive understanding in ICU nurses about post-ICU syndrome of the family members of patients and to optimise coping strategies to alleviate negative emotions of the family members.Additionally,efforts should be made to overcome factors that hinder nurses'coping with post-ICU syndrome of the family members of patients and to promote a harmonious relationship between medical staff and patients.

Objective:To investigate the effects of evidence-based precision nursing in patients with sarcopenia undergoing total knee arthroplasty (TKA) .Methods:By convenience sampling, totally 41 TKA patients with sarcopenia treated in the Department of Orthopedics at The First Affiliated Hospital of Zhengzhou University from August 2021 to February 2022 were selected as the control group, and 41 TKA patients with sarcopenia treated from March 2022 to March 2023 as the observation group. Patients in the control group received conventional nursing care, while patients in the observation group received an evidence-based precision nursing plan. The differences in muscle mass, grip strength, physical activity ability, knee joint function, and quality of life between the two groups before and after the intervention were compared.Results:After the intervention, the total muscle mass, affected limb skeletal muscle mass, limb skeletal muscle mass, limb skeletal muscle mass index, and grip strength in the observation group were significantly higher than those in the control group ( P< 0.05). The scores on the Short Physical Performance Battery, Lysholm Score, and Sarcopenia Quality of Life Scale in the observation group were also significantly higher than those in the control group ( P<0.05) . Conclusions:Evidence-based precision nursing can improve postoperative muscle mass and strength, enhance physical activity ability and joint function, and improve the quality of life in TKA patients with sarcopenia.

Objective To analyze the hot spots and trends of digital intelligence technology research in intensive care unit(ICU).Methods ICU digital intelligence technology related literature collected in Web of Science core database,China National Knowledge Infrastructure,Wanfang Data Knowledge Service Platform,VIP Chinese Journal Service Platform were searched,and the retrieval period is from the establishment of the database to December 12,2023,and visualized analysis was performed by CiteSpace software.Results 700 Chinese literatures and 1705 English literatures were included.Conclusion A total of 18 clusters were formed in Chinese literature,including smart phones,data mining,ventricular premature beats,sepsis,etc.A total of 17 clusters were formed in English literature,including deep learning,expert systems,natural language processing,physiological characteristics,etc.Among them,risk prediction model and clinical decision support are the trends of future research.Conclusion By broadening the scope of diseases and populations,joint artificial intelligence research and development of wearable devices and intelligent detection cloud systems,robots,etc.,is the development trend of the future application field of ICU digital intelligence technology.

【Objective】 To systematically evaluate the effect of applied muscle tension (AMT) exercises on reducing vasovagal reactions(VVRs) among blood donors by meta-analysis. 【Methods】 Nine related databases including MEDLINE, Web of Science and CINAHL were searched using "applied muscle tension" and "vasovagal reactions" as keywords to collect clinical studies on the effects of AMT exercise on VVRs during blood donation. Two researchers independently screened, evaluated the quality and extracted data from the retrieved literature according to the inclusion and exclusion criteria. RevMan 5.4 was used to conduct meta-analysis on the extracted data. 【Results】 A total of 7 articles were finally included, 5 in English and 2 in Chinese, covering 6 808 blood donors. The experimental group performed AMT during blood donation, while the control group did not. Compared with the control group, the difference in reducing the incidence of VVRs [ RR = 0.60, 95%CI (0.42, 0.87), P<0.01] was statistically significant in the AMT group. 【Conclusion】 AMT can effectively reduce the incidence of VVRs during blood donation. However, due to the limitation in the included studies, high-quality studies with perspectiveness, multicenter, large-sample size are further needed for validation in the future.

Objective: To evaluate the reliability and validity of the Chinese version of the Questionnaire of Executive Functioning (QEF) among elementary school students aged 7-12 years. Methods: A total of 841 elementary school students from four primary schools in the Pearl River Delta (Guangzhou), eastern Guangdong area (Jieyang), northern Guangdong area (Shaoguan), and western Guangdong area (Maoming) were selected for item analysis by using a stratified whole group sampling method in September 2022. A total of 377 elementary school students from the four elementary schools were selected for testing the structural validity and reliability, and 87 subjects from an elementary school in Guangzhou were selected at 15-day intervals for assessing test retest reliability test. Results: The questionnaire had good discrimination, and the correlation between the items and the total score ranged from 0.22 to 0.46 ( P <0.01). Exploratory factor analysis showed a cumulative variance contribution rate of 56.68%, with item loadings ranging from 0.41 to 0.74. Confirmatory factor analysis showed a good model fit ( χ 2/ df =3.048, CFI=0.988, TLI= 0.980 , RMSEA=0.058, SRMR =0.009). The overall Cronbach s α , split half reliability and test retest reliability of the questionnaire were 0.72 , 0.76, 0.79, respectively. Conclusion The Chinese version of the Questionnaire of Executive Functioning has good reliability and validity, and it is suitable for application to the self assessment of executive function among elementary school students.

Background Dentists are a high-risk population of work-related musculoskeletal disorders (WMSDs), where the body part with the highest prevalence is the neck. Objective To analyze potential influencing factors of neck pain among dentists, and explore a prediction model of neck pain in dentists. Methods Dentists from different hospitals in Fuzhou were selected as study subjects by stratified cluster sampling according to hospital characteristics (dental hospitals, general hospitals, and dental clinics). The basic information, presentation of WMSDs, and its influencing factors were investigated by using the Chinese version of Musculoskeletal Disorders Questionnaire and the Subjective Workload Assessment Technique. A total of 655 questionnaires were collected, of which 603 were valid, with an effective rate of 92.1%. Multiple logistic regression was used to analyze potential influencing factors of neck pain in dentists. A prediction model of neck pain of dentists was constructed by using neural network model, and the prediction efficiency of the model was evaluated. Results The neck was the body part with the highest prevalence (43.8%, 264/603) of WMSDs among dentists. The results of multiple logistic regression analysis showed that female (OR=2.709, 95%CI: 1.852-3.962, P <0.001), working age of 10-<20 years (versus <10 years, OR=3.836, 95%CI: 2.471-5.957, P<0.001), keeping head up or down for a long time (OR=8.492, 95%CI: 2.203-32.731, P=0.002), holding head sideways for a long time (OR=2.210, 95%CI: 1.376-3.550, P<0.001), maintaining the same sitting spot for a long time (OR=4.336, 95%CI: 2.192-8.579, P<0.001), and psychological load value ≥70 (versus <40, OR=1.901, 95%CI: 1.038-3.480, P=0.037) increased the risk of neck pain in dentists. Sufficient operating space (OR=0.507, 95%CI: 0.302-0.850, P=0.010) and doing some exercise during work break (OR=0.670, 95%CI: 0.453-0.991, P=0.045) reduced the risk of reporting neck pain among dentists. A neural network prediction model of dentists' neck pain was constructed with 1 hidden layer and 6 hidden layer neurons. The percentage of correct prediction of training set was 89.6%, and the percentage of correct prediction of test set was 83.9%. The order of importance of the independent variables included in the model were working age, holding head sideways for a long time, psychological load, etc. The result of neural network model of neck pain among dentists showed that the area under the curve of receiver operator characteristic (ROC) was 0.940 (95%CI: 0.922-0.958, P<0.001). When the maximum diagnostic value was determined by the ROC curve, the sensitivity was 84.8%, the specificity was 91.2%, and the Youden Index was 0.760. Conclusion Neck pain of dentists is affected by many factors, such as individual factors (gender and working age), ergonomic factors (keeping various postures and operations for a long time, operating space, etc.), psychological factors (different levels of psychological load) and so on. The neural network model can be used as a prediction tool to explore the risk of reporting neck pain among dentists.

Objective:To investigate the application value of double contrast-enhanced ultrasonography (DCEUS) combined with serum pepsinogen (PG) in the diagnosis of early gastric cancer(EGC).Methods:Eighty-two patients suspected of EGC from July 2020 to July 2022 in the People′s Hospital of Guangxi Zhuang Autonomous Region, and preoperative DCEUS examination and PG test were performed, and the patients were divided into benign lesion group(13 cases), early gastric cancer group(57 cases) and progressive gastric cancer group(12 cases) using postoperative pathology as the gold standard. Parameters for comparison included time to peak (TTP), peak intensity (PI), enhanced intensity (EI), serum pepsinogen Ⅰ (PGⅠ), serum pepsinogenⅡ (PGⅡ) and their ratio (PGⅠ/PGⅡ). The sensitivity, specificity, and accuracy of DCEUS and PG alone and in combination for the diagnosis of EGC were analyzed by plotting the ROC curve, and its diagnostic value was compared.Results:In the comparison of DCEUS parameters, PI and EI values were higher in the malignant group than in the benign lesion group and TTP was the opposite, with statistically significant differences (all P<0.05). In the comparison of PG detection, PGⅠ and PGⅠ/PGⅡ were lower in the malignant group than in the benign lesions, and lower in the progressive gastric cancer than in the EGC, while PGⅡ was the opposite, with statistically significant differences (all P<0.05). As shown by the ROC curve results, the sensitivity of DCEUS and PG alone and in combination for the diagnosis of EGC was 80.7%, 73.7% and 87.7%, respectively; the specificity was 76.0%, 72.0% and 80.0%, respectively; and the accuracy was 79.3%, 73.2% and 85.4%, respectively. The area under curve (AUC) of the two modalities alone and combined were 0.784 (95% CI=0.669-0.898), 0.728 (95% CI=0.606-0.850) and 0.839 (95% CI=0.734-0.943), respectively, and the combined diagnosis had a higher diagnostic value than the single diagnostic modality. Conclusions:The combined diagnostic modality of DCEUS and PG can further improve the diagnostic efficacy of EGC and reduce its underdiagnosis rate, which has good application value.

Bloodstream infection (BSI) is a systemic infectious disease. The incidence and mortality of BSI caused by carbapenem-resistant Klebsiella pneumoniae (CRKP) remain high, which brought severe challenges into clinical anti-infection treatment and enormous economic burdens for the patients. This article reviews the current research progress on risk factors of BSI caused by CRKP, hoping to provide reference for the early diagnosis and treatment of this disease.

Objective: To investigate the visual application of the CiteSpace software in the field of work-related musculoskeletal disorders (WMSDs) . Methods: The literature on WMSDs research, published from 1991 to 2017, was retrieved in Web of Science database. The CiteSpace 5.2 was used to make visualization analysis on the hotspots and tendency of the keywords, authors, countries (regions) and research institutes in relevant literature. Results: A total of 3224 literatures were included in the analysis. The amount of the literatures published was increasing annually. The key word co-occurrence network showed that the research hotspots mainly focused on the study of epidemiology, risk factors, symptoms, and other aspects of WMSDs. The cooperation network and time network of counties and regions showed that America and Europe were at the leading position in the field of WMSD, and the top three were America, Canada and Sweden. The developing countries, like Brazil and China, had also begun to make relative research since 2000. In research cooperation, the collaboration among countries, research institutions was relatively close, and multiple leading core authors and teams were formed in the international arena. Conclusion The CiteSpace software can directly demonstrate the hotspots and tendency in the area of WMSDs.

Zinc levels are high in pancreatic β-cells, and zinc is involved in the synthesis, processing and secretion of insulin in these cells. However, precisely how cellular zinc homeostasis is regulated in pancreatic β-cells is poorly understood. By screening the expression of 14 Slc39a metal importer family member genes, we found that the zinc transporter Slc39a5 is significantly down-regulated in pancreatic β-cells in diabetic db/db mice, obese ob/ob mice and high-fat diet-fed mice. Moreover, β-cell-specific Slc39a5 knockout mice have impaired insulin secretion. In addition, Slc39a5-deficient pancreatic islets have reduced glucose tolerance accompanied by reduced expression of Pgc-1α and its downstream target gene Glut2. The down-regulation of Glut2 in Slc39a5-deficient islets was rescued using agonists of Sirt1, Pgc-1α and Ppar-γ. At the mechanistic level, we found that Slc39a5-mediated zinc influx induces Glut2 expression via Sirt1-mediated Pgc-1α activation. These findings suggest that Slc39a5 may serve as a possible therapeutic target for diabetes-related conditions.