Diabetes mellitus, characterized by glucose metabolism disorders and marked by insulin deficiency or insulin resistance, has seen a continuous rise in prevalence. In recent years, islet transplantation has matured as a therapeutic approach for diabetes, becoming an important method for glycemic control and the reduction of diabetes-related complications. Donor selection directly influences transplant outcomes, and various research institutions worldwide have proposed multiple scoring systems to optimize donor assessment, such as the University of Alberta scoring system and the North American Islet Donor Score. This article explores the impact of key factors such as donor age, body mass index and ischemia time on islet transplantation. Combining practical experience in pancreatic donor selection from Shanghai Changzheng Hospital, it proposes screening criteria for pancreatic donors suitable for China, aiming to provide new evidence for improving the success rate of islet transplantation.

Objective: To explore relationship of sleep quality with overweight and obesity among middle school students, so as to provide a reference basis for improving adolescent sleep health. Methods: From September to December 2023, 5 713 middle school students aged 13 to 18 were selected by stratified cluster random sampling method in six regions, including Shanghai, Suzhou, Taiyuan, Wuyuan, Xingyi and Urumqi. Sleep quality survey was conducted on middle school students by Pittsburgh Sleep Quality Index. Height and weight were measured, and World Health Organization s standards for growth and development of children and adolescents was used to evaluate their nutritional status. Both χ 2 test and Logistic regression analysis were used to analyze the association between sleep quality and nutritional status of middle school students. Results: The non compliance detection rate of sleep quality was 38.4% among girls, but 29.2% among boys, and the difference was of statistical significance( χ 2=54.08, P < 0.01 ). The detection rate of substandard sleep quality was 34.2% in the group with normal nutritional status, 38.3% in the group with overweight, 43.7% in the group with obesity and 26.0% in the group with emaciation, and the difference in the rates of substandard sleep quality among middle school students of different nutritional status was statistically significant ( χ 2=68.15, P <0.01). Logistic regression analysis showed that, after controlling for mental health and physical activity, the detection rate of substandard sleep quality in the obese groups was 1.30 times higher than that in the normal group, respectively( OR =1.30, 95% CI =1.06- 1.59 , P <0.01). Conclusions Sleep quality is correlated with overweight and obesity among middle school students, and there are gender differences. Intervention policies should be formulated according to the characteristics of different genders.

Antibiotics are chemicals with bactericidal or bacteriostatic activity produced by microorganisms and artificially synthesized. Since the discovery of penicillin by Alexander Fleming in 1928, antibiotics have been widely used in clinical treatments as well as in the animal husbandry and aquaculture, leading to antibiotic residues in soil, water, food and other environments. At the same time, antibiotic resistance is increasingly serious, which necessitates the discovery of novel antibiotics. In recent years, with the development of synthetic biology, researchers have developed a variety of whole-cell biosensors that can respond to antibiotics. These whole-cell biosensors use microbial cells to convert antibiotic signals into readable signals, which can not only perform dynamic detection of antibiotics simply, quickly, sensitively and accurately but also effectively discover novel antibiotics. This review comprehensively summarizes the reported whole-cell biosensors for antibiotics, classifies them into two types (specific and general), and elaborates on the design principles and applications of the two types of antibiotic biosensors. This review will provide reference for the construction and application of other whole-cell biosensors for antibiotics.
Biosensing Techniques/methods* ; Anti-Bacterial Agents/pharmacology*

The incidence of aortic valve disease gradually increases with age,and has become an upward trend in recent years.Transcatheter aortic valve replacement(TAVR)has become the first-line treatment for aortic stenosis(AS)due to minimal surgical trauma and fast postoperative recovery.But TAVR is a complex and high-risk technology,and the operation requires multidisciplinary collaboration and a comprehensive nursing team.Nursing care is crucial during the perioperative period of TAVR.This article aims to provide a comprehensive review of perioperative nursing for TAVR patients,based on the latest research progress both domestically and internationally,in order to enhance the care of TAVR patients during the perioperative period,especially for postoperative complications.

Objective: To explore the relationship between sedentary behavior with cardiorespiratory fitness and executive function in adolescents, and to provide some references for sedentary behavior prevention and executive function improvement. Methods: From September to December 2022, a total of 5 018 adolescents aged 13 to 18 years were selected by stratified random sampling method in Shanghai, Suzhou, Taiyuan,Wuyuan, Xingyi, and Urumqi to conduct physical activity survey, as well as cardiorespiratory fitness and executive function assessment. Pearson s correlation was used to analyze the relationship between sedentary behavior, cardiorespiratory fitness and executive function. The mediation effect model was fitted by the bootstrap mediation procedure in the PROCESS (version 3.3 ) SPSS macro compiled by Haves, and the mediation effect of adolescents cardiorespiratory fitness in the relationship between static behavior and executive function was examined using model 4 in the PROCESS SPSS macro, where Boosrap method was used to compute the mediation effect of adolescents cardiorespiratory fitness. where the Boosrap method was used to calculate confidence intervals for the mediating effects. Results: Adolescents daily sedentary time was positively correlated with both the refreshing function (1-back and 2-back) and the switch function reaction time ( r =0.05, 0.07, 0.05, P <0.01). Adolescent VO 2max was negatively correlated with both the refreshing function (1-back,2-back) and the switching function ( r =-0.09, -0.14 , -0.11, P <0.01). Adolescents daily sedentary time was negatively correlated with VO 2max ( r =-0.04, P <0.01); cardiorespiratory fitness mediated effect values between sedentary behavior and refreshing function (1-back and 2-back) and converted function were 0.20(95% CI =0.06-0.36), 0.43(95% CI =0.14-0.74) and 0.13 (95% CI =0.04-0.22), with mediating effect shares of 6.87%, 8.33% and 8.59%, respectively. Conclusion The duration of sedentary behavior in adolescents is related to executive function performance, and cardiorespiratory fitness may serve as a mediator to mediate the association between sedentary behavior and executive function in adolescents.

Solid organ transplantation has significantly prolonged the survival of patients with end-stage diseases. However, long-term use of immunosuppressants will increase the risk of post-transplantation diabetes mellitus (PTDM) in the recipients, thereby elevating the risk of infection, cardiovascular disease and death. In recent years, with persistent improvement of diagnostic criteria of PTDM, clinicians have deepened the understanding of this disease. Compared with type 2 diabetes mellitus, PTDM significantly differs in pathophysiological characteristics and clinical progression. Hence, different treatment strategies should be adopted. Early identification of risk factors of organ transplant recipients, early diagnosis and intervention are of significance for improving the quality of life of recipients, prolonging the survival of grafts and reducing the fatality of recipients. Therefore, the diagnosis, incidence and risk factors of PTDM were reviewed in this article, aiming to provide reference for clinicians to deliver prompt diagnosis and intervention for PTDM.

Objective To investigate the risk factors of infection of Pseudomonas aeruginosa combined with Elizabethkingia anophelis in patients with cerebral hemorrhage and the antimicrobial treatment plan.Methods Clinical pharmacists participated in the treatment of pulmonary infection caused by Pseudomonas aeruginosa combined with Elizabethkingia anophelis in a patient with cerebral hemorrhage.The risk factors of Elizabethkingia anophelis infection and antimicrobial treatment plan were analyzed by referring to literature and combining the patient's condition,medical history,drug use history and related examination results.Results Based on the infection site,the characteristics of mixed bacterial infection,and the metabolic/pharmacodynamic characteristics of antimicrobial agents,clinical pharmacists made drug recommendations for clinicians in the adjustment of anti-infection protocols,and patients'systemic infections were effectively controlled.Conclusion Elizabethkingia anophelis is a conditional pathogen with low virulence and is not easy to infect healthy people.When the patient's immunity is low,it is easy to transform into pathogenic bacteria,which should be paid attention to.

Objective:To explore the feasibility of long board detector of digital radiography(DR)in clinical application.Methods:The long board detector(detector)was erected and placed upright.The scale long ruler with marked metal lead wire was placed at 20 cm in front of the center of long axis of the board of detector,which paralleled medial axis.Three test cards of spatial resolution were respectively placed at three positions(upper,middle and lower)of detector,and they were stuck on the board of detector as 30cm intervals between each other and 45° position.The exposures were conducted at 100,150,and 200 cm of source image distance(SID).The incident doses were tested,which obtained from different SID spots of upper,middle and lower positions of detector.The spatial resolutions of 3 positions were determined through observed the images of cards.The ratio of the marked scale length with metal lead wire to actual length of lead wire was measured through the projection of the scale length,so as to obtain the amplification rate of different spot positions.The spatial distribution of effective focal plane on the direction of long axis of detector,and the morphological change of that were observed.Results:When SID spots were respectively 100,150 and 200cm,the amplification rates of images decreased with increasing SID.The difference of amplification rates among three SID spots was significant(F=223.80,P<0.001).There was significant difference in the corresponding radiation doses among different SID spots(F=7.57,P<0.05).The spatial resolution was constantly 1.8 LP/mm.There was heel effect along with the direction of short axis of detector.The effective focal spot on the direction of long axis of detector appeared up-down symmetrical display.Conclusion:The long board detector of DR equipment has realized the capture for the images of the overall length of spine or the overall length of lower limbs in one exposure,which can meet the clinical requirement,and improve the detection efficiency of X-ray.

BACKGROUND:Establishing a nomogram prediction model for postoperative pulmonary infection in hip fractures and taking early intervention measures is crucial for improving patients'quality of life and reducing medical costs. OBJECTIVE:To construct a nomogram risk prediction model of postoperative pulmonary infection in elderly patients with hip fracture,and provide theoretical basis for feasible prevention and early intervention. METHODS:Case data of 305 elderly patients with hip fractures who underwent surgical treatment at Wuxi Traditional Chinese Medicine Hospital Affiliated to Nanjing University of Chinese Medicine between January and October 2020(training set)were retrospectively analyzed.Using univariate and multivariate logistic regression analysis and Hosmer-Lemeshow goodness of fit test,receiver operating characteristic curve was utilized to analyze the diagnostic predictive efficacy of independent risk factors and joint models for postoperative pulmonary infections.Tools glmnet,pROC,and rms in R Studio software were applied to construct a nomogram model for predicting the risk of postoperative pulmonary infection in elderly patients with hip fractures,and calibration curves were further drawn to verify the predictive ability of the nomogram model.Receiver operating characteristic curves,calibration curves,and decision curves were analyzed for 133 elderly patients with hip fractures(validation set)receiving surgery at the same hospital from November 2022 to March 2023 to further predict the predictive ability of the nomogram model. RESULTS AND CONCLUSION:(1)The postoperative pulmonary infection rate in elderly patients with hip fractures in this group was 9.18%(28/305).(2)Single factor and multivariate analysis,as well as forest plots,showed that preoperative hospitalization days,leukocyte count,hypersensitive C-reactive protein,and serum sodium levels were independent risk factors(P<0.05).The Hosmer-Lemeshow goodness of fit test showed good fit(χ2=4.57,P=0.803).Receiver operating characteristic curve analysis was conducted on the independent risk factors and their joint models mentioned above,and the differentiation of each independent risk factor and joint model was good,with statistical significance(P<0.05).(3)The graphical calibration method,C-index,and decision curve were used to validate the nomogram prediction model.The predicted calibration curve was located between the standard curve and the acceptable line,and the predicted risk of the nomogram model was consistent with the actual risk.(4)The validation set used receiver operating characteristic curve,graphic calibration method,and decision curve to validate the prediction model.The results showed good consistency with clinical practice,indicating that the model had a good fit.The nomogram risk prediction model constructed for postoperative pulmonary infection in elderly patients with hip fractures has good predictive performance.The use of the nomogram risk prediction model can screen high-risk populations and provide a theoretical basis for early intervention.

ObjectiveTo understand the changes of health related behaviors among residents with chronic diseases，and to provide a reference for targeted health intervention. MethodsBased on the surveillance data of chronic diseases and relevant risk factors of the residents in Huangpu District from 2014 to 2019. The study focused on health related behaviors and sociodemographic characteristics which was analyzed by chi-square test. The Cochran-Armitage trend chi-squared test was used to analyze the standardization rate. ResultsSeveral behaviors had been ameliorated such as the health examinations （Z=-3.667， P<0.001）， the measurement of blood glucose （Z=-5.793， P<0.001）， daily vegetables consumption （Z=-5.741， P<0.001）， daily animal food consumption （Z=-23.214， P<0.001）， daily physical activity （Z=-18.361， P<0.001）， sedentary behavior （Z=4.190， P<0.001）， and current smoking （Z=4.615， P<0.001）. ConclusionAn improving trend of health behaviors is found among Huangpu District residents．Targeted health education and health promotion should be carried out according to the characteristics of the population in the future.