OBJECTIVE To explore the risk factors for central line-associated bloodstream infection(CLABSI)in the maintenance hemodialysis(MHD)patients based on the informatization surveillance system and establish and verify the risk prediction model so as to provide bases for early identification and prevention of CLABSI.METHODS A total of 300 MHD patients who were treated in hemodialysis center of the Affiliated Hospital of Xuzhou Medical University from Jan.2020 to Dec.2023 were recruited as the research subjects and were randomly divided into the training set group with 210 cases and the validation set group with 90 cases in a 7∶3 ratio.The risk factors for the CLABSI were analyzed,the prediction model was established and verified.The performance of the model was evaluated by the area under the curve(AUC)of receiver operating characteristic(ROC)curves and Hosmer-Lemeshow goodness of fit test.RESULTS Among the 300 MHD patients who were treated with central venous catheters,32 were diagnosed with CLABSI,and the incidence was 0.65 per 1,000 catheter days.Multivari-ate analysis showed that catheter indwelling time,repeated catheterization,previous history of catheter-related in-fection and diabetes mellitus were the risk factors for the CLABSI in the MHD patients(P＜0.05).The model based on the logistic regression equation was established as follows:logit(P)=-5.661+0.024 × catheter in-dwelling duration(week)+2.037 × repeated catheterization+1.546 × previous history of catheter-related infec-tion+3.391× diabetes mellitus.ROC curve analysis showed that the AUC of the training set was 0.916(95％CI:0.837 to 0.994),with the sensitivity 87.00％,the specificity 86.63％,Youden index 0.736;the AUC of the vali-dation set was 0.797(95％CI:0.632 to 0.962),with the sensitivity 77.78％,the specificity 82.72％,the Youden index 0.605.The model showed excellent discrimination and calibration degree.CONCLUSION The logistic regres-sion equation that is established based on the 4 risk factors,catheter indwelling duration,repeated catheterization,previous history of catheter-related infection and diabetes mellitus,shows remarkable predictive efficiency,and it can provide evidence for clinical screening and prevention of CLABSI.

Dyadic interviews can deeply reveal the complex interaction between dyads(eg,patients and their caregivers),and their importance in the field of nursing qualitative research has become increasingly prominent.Through a comprehensive literature review,this paper systematically combs the relevant literature of dyadic interviews,elaborates on the concept and application areas of dyadic interviews,deeply discusses 5 major forms of dyadic interviews and the analysis methods of dyadic data,illustrates with specific examples.The aim is to provide methodological guidance for Chinese nursing researchers and promote the scientific and standardized application of this method in the field of nursing qualitative research.

Objective To evaluate the clinical utility of the f-wave to QRS complex amplitude ratio(f/R ratio)in intracardiac electrogram(IC-ECG)-guided positioning of peripherally inserted central catheter(PICC)tips in patients with atrial fibrillation(AF),providing evidence to enhance clinical practice.Methods This study employed a conve-nience sampling method to enroll eligible AF patients admitted to a tertiary hospital in Suzhou from July 2023 to July 2024.During PICC placement,IC-ECG was utilized to monitor f-wave and QRS complex amplitude variations.Following successful catheterization,the f/R ratio was measured,and chest X-ray was performed to confirm the catheter tip position.The accuracy of PICC tip positioning across different f/R ratio ranges was analyzed,and the incidence of arrhythmias was recorded.A receiver operating characteristic curve was constructed to assess the diag-nostic performance of the f/R ratio in PICC tip localization.Results A total of 68 AF patients were included,with f/R ratios ranging from 20.63％to 91.24％.PICC tip positioning accuracy varied significantly across different f/R ratio ranges(P=0.006).The area under the ROC curve(AUC)for f/R ratio in PICC tip positioning was 0.784(P=0.009),with a maximum Youden index of 0.567,an optimal diagnostic threshold of 40.00％,a sensitivity of 81.7％,a speci-ficity of 75.0％,a positive predictive value of 96.1％,and a negative predictive value of 35.3％.No arrhythmias other than AF occurred during the procedure.Conclusion The f/R ratio provides reliable and safe guidance for PICC tip positioning in AF patients.An f/R ratio ≥40％is associated with higher accuracy in identifying the optimal catheter tip position.

Objective To evaluate factors influencing discharge readiness of coronary heart disease after percutaneous coronary intervention(PCI).Methods Studies on factors affecting the discharge preparation of patients with coronary heart disease PCI were searched in English and Chinese databases from database construction to November 2024.Two researchers independently screened articles,extracted data,and assessed quality.A total of 15 articles involving 3019 patients were included,identifying 19 influencing factors.Meta-analysis was performed.Results Meta-analysis showed that support level,discharge guidance quality,actual content obtained,age,and medication types were significant factors(P<0.05).Conclusion Healthcare professionals can use these factors to identify patients with low discharge readiness and implement early interventions to support recovery.

Objective To systematically analyze the risk prediction instruments for central line associated bloodstream infection in ICU patients,with a view to provide references for clinical practice.Methods The PubMed,Embase,Web of Science,Cochrane Library,CIN AHL,CNKI,WanFang,VIP and CBM Database were searched from inception to May 2024.There were 2 researchers who independently screened the literature,extracted the information,and assessed the risk of bias and applicability of the included literature.Results 11 studies were involved in the final review,involving 9 risk prediction models and 2 risk assessment tables,9 of which validated the predictive efficacy or reliability and validity of the instruments.Conclusion The risk prediction instruments for central line associated bloodstream infection in ICU patients had good predictive efficacy and applicability,but the overall risk of bias was high.It is recommended that further examination,verification the existing instruments should be conducted,or to build a prediction instrument with low risk of bias and high applicability.

Objective To explore the different potential subtypes of psychosocial adaptation among young and middle-aged stroke patients,and analyze the relationship between different potential subtypes and quality of life,so as to provide references for the subsequent development of targeted interventions.Methods A total of 406 young and middle-aged stroke patients in 4 tertiary hospitals in Suzhou from June 2023 to June 2024 were recruited by convenience sampling.The General Information Questionnaire,the Self-Report Psychosocial Adjustment to Illness Scale and the EuroQol five-dimensional questionnaire were conducted for investigation.Latent profile analysis was used to explore the potential subtypes of psychosocial adaptation among young and middle-aged stroke patients.Generalized linear regression analysis was conducted with quality of life as dependent variables.Results A total of 380 young and middle-aged stroke patients were included.The psychosocial adaptation of patients could be classified into 3 potential subtypes:high adaptation level type(23.90％),medium adaptation level with health concerns type(46.40％),and low adaptation level with psychological barriers type(29.70％).The results of generalized linear regression analysis showed that potential subtypes of psychosocial adaptation were the influencing factors for quality of life in young and middle-aged stroke patients(P＜0.05).Conclusion There was group heterogeneity in psychosocial adaptation among young and middle-aged stroke patients,and the potential subtype of psychosocial adaption was an important factor affecting the quality of life of patients.It is suggested that medical staff should focus on patients with low adaptation level with psychological barriers type,and take targeted interventions according to characteristics of different subtypes of patients,so as to improve their quality of life.

Objective To construct a classification model for surgical patients and apply it in the allocation of nursing human resources,providing a reference for nursing human resource management.Methods A convenience sampling method was used to retrospectively select 5,431 hospitalized surgical patients admitted to 6 surgical nursing units of a tertiary general hospital in Suzhou from July to November 2022 as the subjects of this study.The nursing hours were measured,and related influencing factors were analyzed.A decision tree classification method was used to establish a classification model for surgical patients.From August to October 2022,1,527 hospitalized surgical patients admitted to 3 nursing units of the same hospital were conveniently selected.The minimum number of nurses required daily was calculated using the surgical patient classification model,actual nursing hours measurement method,nurse-to-bed ratio method,and 8-hour continuous shift scheduling method.The application effect of the surgical patient classification model in nursing human resource allocation was evaluated with the actual nursing hours measurement method as the standard.Results The surgical patient classification model includes 7 classification indicators:length of hospital stay,diagnosis-related group weight,presence or absence of secondary care orders,surgical grade,anesthesia method,age,and presence or absence of critical illness orders.Patients were divided into 14 groups,and the model explained 90.5％of the total variance in nursing workload.The minimum number of nurses required in surgical nursing units calculated based on this model was closest to the result of the actual nursing hours measurement method and was superior to the results of the nurse-to-bed ratio method and the 8-hour continuous shift scheduling method.Conclusion The surgical patient classification model can accurately reflect the nursing workload of such patients.The classification indicators are simple and easy to obtain,and can guide the allocation of human resources in surgical nursing units.

Objective To summarise the best evidence of tracheal intubation and extubation in patients with non-ventilated neurocritical care so as to provide a reference and guidance for clinical work.Methods The"6S"evidence-based pyramid model was employed to search multiple databases and sources,including UpToDate,BMJ Best Practice(BMJ),National Institute for Health and Care Excellence(NICE),National Guideline Clearinghouse(NGC),Guidelines International Network(GIN),Scottish Intercollegiate Guidelines Network(SIGN),Canadian Medical Association:Clinical Practice Guideline(CMA Infobase),New Zealand Guidelines Group(NZGG),European Association of Neurosurgical Societies(EANS),American Association of Neurological Surgeons(AANS),Cochrane Library,Joanna Briggs Institute(JBI),Campbell,PubMed,Embase,CINAHL,ProQuest,Elsevier,EBSCO,Web of Science,CNKI,Wanfang Data,VIP,SinoMed and Yimaitong,from inception of the databases to 31st March,2024 for literature on tracheal extubation of the patients in non-ventilated neurocritical care.The retrieved literature included clinical decisions,guidelines,systematic reviews,evidence summaries,expert consensuses,and randomised controlled trials.Two researchers who were trained in evidence-based nursing comprehensively screened the quality of the included literature and extracted the evidences.Results A total of 15 articles were included consisting of 2 clinical decisions,5 guidelines,4 systematic reviews,2 evidence summaries and 2 expert consensuses.They were synthesised into 23 evidence-based recommendations across 4 themes:pre-extubation assessment,pre-extubation preparation,extubation procedure and post-extubation care.Conclusion The best evidence on endotracheal intubation and extubation in patients with non-ventilated neurocritical care summarised in this study provides an evidence-based reference for clinical practice.

Objective To evaluate the influencing factors of aspiration in neurological critically ill patients by Meta-analysis.Methods PubMed,Embase,Web of Science,CNKI,and Wanfang Data were searched from inception to 1 October,2023,to obtain relevant studies on influencing fac-tors of aspiration in neurological critically ill patients.The literature screening,data extraction and quality evaluation were completed by two researchers.RevMan 5.4 and Stata 13.0 software were ap-plied for pooled Meta-analysisand assessed publication bias,respectively.Results A total of 8 arti-cles,including 1,315 neurocritical care patients,were included in this study.Nine influencing factors related to aspiration were extracted for Meta-analysis.The Meta-analysis results showed that the three influencing factors that caused aspiration in neurocritical care patients were stroke history(OR=5.03,95％CI,2.71 to 9.32,P＜0.000 01),National Institutes of Health Stroke Scale(NIHSS)score＞10(OR=3.35,95％CI,1.75 to 6.42,P=0.000 3),and gastric residual volume＞150mL(OR=7.13,95％CI,2.55 to 9.96,P=0.001).Conclusion This study provides a scientific basis for clinical healthcare professionals to early identify high-risk patients for aspiration,take targeted inter-vention measures,and prevent the occurrence of aspiration.

Objective To explore the application value of predictive model based on nutritional status combined with clinical data in infectious complications after radical gastrectomy for gastric canc-er.Methods The clinical data on 394 gastric cancer patients who underwent radical gastrectomy at Suzhou Ninth Hospital Affiliated to Soochow University from January 2017 to July 2024 were retrospec-tively collected.According to whether the patients developed infection after surgery,they were divided into infection group(n=73)and non-infection group(n=321)based on whether they developed postoperative infections or not.The least absolute shrinkage and selection operator(LASSO)method was used to obtain the optimal related features associated with infectious complications after radical gas-trectomy for gastric cancer.Multivariate Logistic regression analysis was conducted to screen for risk factors of infectious complications after radical gastrectomy.R software was used to randomly select 70％of data as training set(for establishing the nomogram model)and 30％of data as test set.The area under the curve(AUC)of the receiver operating characteristic(ROC)curve,Bootstrap sampling validation,and decision curve analysis(DCA)were used to assess the value of the predictive model.Results of the 394 gastric cancer patients,73 developed postoperative infectious complications,in-cluding 53.42％with lung infections,17.81％with intra-abdominal infections,16.44％with uri-nary tract infections,and 12.33％with wound infections.Age,diabetes mellitus,preoperative nu-tritional risk,high preoperative PIV,combined organ resection,and prolonged operation time were identified as risk factors for infectious complications after radical gastrectomy(P＜0.05).In the training set,the AUC of the nomogram model was 0.898,and the AUC validated in the test set was 0.891.Bootstrap sampling validation with 1,000 iterations showed that the average errors between the predicted probabilities and actual values in the training and test sets were 0.019 and 0.024,re-spectively.DCA results indicated that the model had clinical utility.Conclusion Infectious com-plications after gastrectomy for gastric cancer are common,and the predictive model based on nutri-tional assessment combined with clinical data has high value in predicting the risk of infectious com-plications after gastrectomy.