Purpose To evaluate the application value of CE-Boost technology in head and neck CT angiography(CTA)with low tube voltage,low contrast agent dosage and low injection rate.Materials and Methods A prospective study was conducted on patients who underwent head and neck CTA at Ji'nan People's Hospital Affiliated to Shandong First Medical University from September to December 2023.Using block randomization,patients were divided into group A(n=30)and group B(n=30).Group A underwent conventional scanning with 120 kV tube voltage,50 ml iodinated contrast agent and 5.0 ml/s injection rate;while group B underwent scanning with 100 kV tube voltage,30 ml iodinated contrast agent and 3.0 ml/s injection rate.CE-Boost images(group B2)were generated by performing flexible subtraction between the enhanced images of group B(group B1)and non-contrast images.CT values,noise,signal-to-noise ratio and contrast-to-noise ratio of major vessels were measured and calculated.Subjective image quality was assessed using a 5-point scale.Vascular CT values,noise,signal-to-noise ratio,contrast-to-noise ratio,subjective scores and radiation dose were compared among the three groups.Results No significant differences in noise were observed among group A,B1 and B2(all P>0.05).The aortic arch CT values,signal-to-noise ratio and contrast-to-noise ratio in group B2 were significantly higher than those in group B1 and A(all P<0.05),while group B1 exhibited significantly lower values than group A(all P<0.05).For other vessels,group B2 demonstrated significantly higher CT values,signal-to-noise ratio and contrast-to-noise ratio than group B1(all P<0.05),but no significant differences were found compared with group A(all P>0.05).Subjective scores were significantly higher in group A[5(5,5)point]and group B2[5(5,5)point]than in group B1[4(3,4)point](Z=-4.790,-4.564,both P<0.001),with no significant difference between groups A and B2(Z=-1.076,P=0.163).Group B reduced iodine intake and injection rate by 40%compared with group A(iodine intake:11.1 g vs.18.5 g;injection rate:3.0 ml/s vs.5.0 ml/s)and achieved a 30%reduction in effective radiation dose[(1.02±0.95)mSv vs.(1.44±1.66)mSv,t=12.217,P<0.001].Conclusion For patients with body mass index<28 kg/m2,CE-Boost combined with 100 kV tube voltage,30 ml iodinated contrast agent and 3.0 ml/s injection rate in head and neck CTA significantly reduces radiation dose,iodine load and injection rate while maintaining image quality.

Objective:To explore the relationship between life events, anxiety, depression, and behavior problems in adolescents.Methods:From September to October 2022, the cluster sampling method was used to select 5 341 adolescents from 4 middle schools in Xinxiang urban area.The subjects and their parents were investigated by the adolescent self-rating life events check list (ASLEC), generalized anxiety disorder scale (GAD-7), patient health questionnaire (PHQ-9), and child behavior checklist (CBCL). SPSS 27.0 software was used for Spearman correlation analysis, and AMOS 28.0 software was used to construct the structural equation model.Results:The scores of anxiety, depression, and behavioral problems were 1 (0, 4), 1 (0, 4), and 3 (0, 10). The total score of life events was 5 (1, 13), and the dimensions scored as follows: interpersonal conflict 1 (0, 4), academic pressure 2 (0, 5), punishment 0 (0, 2), loss 0 (0, 0), health and adaptation problem 0 (0, 1), and others 0 (0, 2). There were positive correlations between life events and its dimensions, depression, anxiety and behavioral problems ( r=0.28-0.69, all P<0.01). In the overall population, anxiety and depression played parallel mediating roles in the impact of life events on behavior problems. Life events could positively predict anxiety ( β=0.68, P<0.01), and anxiety could positively predict behavior problems ( β=0.04, P=0.02). Life events could positively predict depression ( β=0.77, P<0.01), and depression could positively predict behavior problems ( β=0.18, P<0.01). The standardized total effect size of the impact of life events on behavioral problems was 0.622 (95% CI=0.564-0.675). The standardized direct effect size and indirect effect size were 0.460 (95% CI=0.374-0.539) and 0.162 (95% CI=0.108-0.218), accounting for 74.0% and 26.0%of the total effect, respectively. After stratification by gender, the results for male adolescents were consistent with the overall population, while the mediating effect of anxiety was not significant in the female adolescents. Conclusion:Life events can lead to anxiety and depression in adolescents, thereby increasing the risk of behavior problems.

Clinical research on rare diseases has always faced multiple challenges in clinical research design and implementation due to small sample sizes of patients,high heterogeneity,and limited research resources.The rapid development of digital intelligence technology has provided innovative solutions for rare disease research.This article systematically explores the current status and response strategies of clinical research on rare diseases in the digital intelligence age.On the one hand,the efficiency of rare disease research has been optimized through adaptive design,mixed trial mode,and precision medicine stratification methods.On the other hand,solutions based on digital technology have been proposed to address the practical challenges of recruitment difficulties and underrepresentation of rare disease clinical research patients,data management and technical barriers,and insufficient coverage of natural medical history and baseline databases through digital intelligence technology.By combining international collaboration,intelligent screening,and remote experiments,a multidisciplinary collaboration and international cooperation,adaptive design,digital data platform,and patient-centered remote research model have been constructed as the core implementation strategies.Typical cases demonstrate that digital intelligence technology not only effectively shortens the drug development cycle,but also significantly enhances patient benefits,providing a replicable practical paradigm for global rare disease research.The practice of digital platforms represented by the International Rare Disease Research Alliance and the China Rare Disease Diagnosis and Treatment Collaboration Network has further verified the feasibility and promotional value of the digitalization path.In summary,digital intelligence technology has shown considerable promise in overcoming the clinical research challenges of rare diseases and accelerating the development of treatment plans,providing systematic references for researchers,regulatory agencies,and patient organizations.It is expected to drive the clinical research of rare diseases towards a more efficient and accurate future.

Objective·To explore the value of combined diaphragm and intercostal muscle ultrasound assessment compared with conventional diaphragm ultrasound in predicting the weaning outcome in mechanically ventilated patients with sepsis.Methods·Mechanically ventilated patients with sepsis,consecutively admitted to the Department of Critical Care Medicine of Affiliated Hospital of Nantong University from October 2022 to December 2023,were selected.During the peri-weaning period,after the patient's sepsis condition improved and the patient passed the spontaneous breathing trial(SBT),ultrasound evaluation of respiratory muscles was performed by ultrasound qualified personnel with ultrasound qualification and experience in bedside ultrasound examination.Diaphragm excursion(DE),thickening fraction of diaphragm(TFD),and thickening fraction of intercostal muscle(TFic)were measured,respectively.The patients were divided into a successful weaning group(n=114)and a failed weaning group(n=24)according to the weaning results.Receiver operating characteristic(ROC)curves were used to analyze the value of diaphragm ultrasound and intercostal muscle ultrasound,alone and in combination,in predicting ventilator weaning outcome.Results·TFic and TFic/TFD were significantly higher in the failed weaning group during SBT than in the successful weaning group(all P<0.05).The areas under the ROC curve(AUROC)of DE,TFD,and TFic to predict weaning failure in mechanically ventilated patients with sepsis during the period of SBT were 0.689(0.591?0.776),0.657(0.557?0.747),and 0.769(0.676?0.846),respectively,whereas the combined indexes TFic/TFD and TFic&TFD_mix had AUROCs of 0.867(0.786?0.925)and 0.860(0.778?0.920),respectively.TFic/TFD with a cutoff value of>0.95 had a sensitivity of 86.7%and a specificity of 75.3%in predicting weaning failure,and TFic&TFD_mix with a cutoff value of>0.13 had a sensitivity of 86.6%and a specificity of 80.9%in predicting weaning failure.Moreover,the intercostal muscle ultrasonography method had an intra-observer intraclass correlation coefficient(ICC)of 0.890 and an extra-observer ICC of 0.876 for measurement reliability,which were both rated as good(P<0.001).Conclusion·Combined diaphragm and intercostal muscle ultrasonography provides a more comprehensive picture of the patient's overall respiratory muscles,and has a higher guiding value in predicting the weaning outcomes in mechanically ventilated patients with sepsis than diaphragm ultrasound alone.

Objective This study explores issues in health talent team construction in public hospitals,using a city as a case study,and constructs a theoretical framework.aiming to provide theoretical references for optimizing talent team construc-tion.Methods Through literature review and in-depth interviews,the status of health talent team construction in public hospi-tals was analyzed.Utilizing the grounded theory,the interview data underwent three-level coding and visual analysis.Results A total of 112 initial categories,12 main categories,and 4 core categories were extracted.Issues related to talent management mechanisms were identified as the most critical concern in the construction of health talent teams in the city's public hospitals.Conclusion Focusing on the theoretical framework for health talent team construction in public hospitals,strengthening talent management,recruitment,training,and service support are the main pathways to optimize healthcare talent team development.

Objective To explore the relationship between the risk of falls and the prolonged hospital stay in elderly patients with acute pancreatitis and to provide evidences for the decision-making of nursing and patient management.Methods A total of 232 elderly patients with acute pancreatitis admitted to our hospital from October 2021 to May 2024 were included as the study objects.General information questionnaire and revised Morse fall scale(MFS)were used for investigation.The patients were divided into a prolonged group and a non-prolonged group according to the length of hospital stay.Logistic regression was used to identify the factors that influenced the prolonged hospital stay.The effect of a risk of falls on prolonged hospital stay was analysed by Logistic regression with controlled variables.Results A total of 229 patients completed the study.The average hospital stay of the 229 patients was(9.8±5.5)days,with a median of 9 days(interquartile range:6,12 days).A total of 53 patients(23.14%)had a prolonged hospital stay.The average score of the risk of falls was(5.9±3.0),with a median score of 6(interquartile range:4,8).Multivariate Logistic regression analysis showed that the factors influencing the prolonged hospital stay were diabetes(OR=3.005,95%CI=1.380-6.542),nutritional risk(OR=2.393,95%CI=1.220-4.695),risk of falls(OR=1.233,95%CI=1.098-1.385)(all P<0.05).Further logistic regression analysis was conducted using multiple models and controlled variables,including gender,age,body mass index,history of smoking,history of alcohol consumption,hypertension,diabetes,education,lifestyle,primary disease,time from morbidity to admission,payment method for medical care,and nutritional risk.The results showed that the risk of falls was associated with prolonged hospital stay even after the adjustment of variables(OR=1.278,95%CI=1.126-1.451,P<0.001).Restricted cubic spline(RCS)curve analysis demonstrated that there was a nonlinear relationship between the risk of falls and the prolonged hospital stay(Pfor overall<0.001,Pfor nonlinear<0.05).Threshold effect analysis indicated that while the score of risk of falls was≥8,then per additional increase in the score was associated with a 2.3-fold of increase in the risk of prolonged hospital stay(OR=2.300,95%CI=1.454-3.637,P<0.001).Conclusion The risk of falls,in conjunction with diabetes and a nutritional risk,affects the prolonged hospital stay in elderly patients with acute pancreatitis.The risk of falls also affect independently on a prolonged hospital stay.When the score of risk of falls is≥8,the risk of prolonged hospital stay increases with the increment of the fall risk score.

Objective:To explore the relationship between life events, anxiety, depression, and behavior problems in adolescents.Methods:From September to October 2022, the cluster sampling method was used to select 5 341 adolescents from 4 middle schools in Xinxiang urban area.The subjects and their parents were investigated by the adolescent self-rating life events check list (ASLEC), generalized anxiety disorder scale (GAD-7), patient health questionnaire (PHQ-9), and child behavior checklist (CBCL). SPSS 27.0 software was used for Spearman correlation analysis, and AMOS 28.0 software was used to construct the structural equation model.Results:The scores of anxiety, depression, and behavioral problems were 1 (0, 4), 1 (0, 4), and 3 (0, 10). The total score of life events was 5 (1, 13), and the dimensions scored as follows: interpersonal conflict 1 (0, 4), academic pressure 2 (0, 5), punishment 0 (0, 2), loss 0 (0, 0), health and adaptation problem 0 (0, 1), and others 0 (0, 2). There were positive correlations between life events and its dimensions, depression, anxiety and behavioral problems ( r=0.28-0.69, all P<0.01). In the overall population, anxiety and depression played parallel mediating roles in the impact of life events on behavior problems. Life events could positively predict anxiety ( β=0.68, P<0.01), and anxiety could positively predict behavior problems ( β=0.04, P=0.02). Life events could positively predict depression ( β=0.77, P<0.01), and depression could positively predict behavior problems ( β=0.18, P<0.01). The standardized total effect size of the impact of life events on behavioral problems was 0.622 (95% CI=0.564-0.675). The standardized direct effect size and indirect effect size were 0.460 (95% CI=0.374-0.539) and 0.162 (95% CI=0.108-0.218), accounting for 74.0% and 26.0%of the total effect, respectively. After stratification by gender, the results for male adolescents were consistent with the overall population, while the mediating effect of anxiety was not significant in the female adolescents. Conclusion:Life events can lead to anxiety and depression in adolescents, thereby increasing the risk of behavior problems.

Objective·To explore the value of combined diaphragm and intercostal muscle ultrasound assessment compared with conventional diaphragm ultrasound in predicting the weaning outcome in mechanically ventilated patients with sepsis.Methods·Mechanically ventilated patients with sepsis,consecutively admitted to the Department of Critical Care Medicine of Affiliated Hospital of Nantong University from October 2022 to December 2023,were selected.During the peri-weaning period,after the patient's sepsis condition improved and the patient passed the spontaneous breathing trial(SBT),ultrasound evaluation of respiratory muscles was performed by ultrasound qualified personnel with ultrasound qualification and experience in bedside ultrasound examination.Diaphragm excursion(DE),thickening fraction of diaphragm(TFD),and thickening fraction of intercostal muscle(TFic)were measured,respectively.The patients were divided into a successful weaning group(n=114)and a failed weaning group(n=24)according to the weaning results.Receiver operating characteristic(ROC)curves were used to analyze the value of diaphragm ultrasound and intercostal muscle ultrasound,alone and in combination,in predicting ventilator weaning outcome.Results·TFic and TFic/TFD were significantly higher in the failed weaning group during SBT than in the successful weaning group(all P<0.05).The areas under the ROC curve(AUROC)of DE,TFD,and TFic to predict weaning failure in mechanically ventilated patients with sepsis during the period of SBT were 0.689(0.591?0.776),0.657(0.557?0.747),and 0.769(0.676?0.846),respectively,whereas the combined indexes TFic/TFD and TFic&TFD_mix had AUROCs of 0.867(0.786?0.925)and 0.860(0.778?0.920),respectively.TFic/TFD with a cutoff value of>0.95 had a sensitivity of 86.7%and a specificity of 75.3%in predicting weaning failure,and TFic&TFD_mix with a cutoff value of>0.13 had a sensitivity of 86.6%and a specificity of 80.9%in predicting weaning failure.Moreover,the intercostal muscle ultrasonography method had an intra-observer intraclass correlation coefficient(ICC)of 0.890 and an extra-observer ICC of 0.876 for measurement reliability,which were both rated as good(P<0.001).Conclusion·Combined diaphragm and intercostal muscle ultrasonography provides a more comprehensive picture of the patient's overall respiratory muscles,and has a higher guiding value in predicting the weaning outcomes in mechanically ventilated patients with sepsis than diaphragm ultrasound alone.

Objective:To analyze the clinical characteristics of warfarin-related nephropathy (WRN).Methods:Medical records of patients with WRN admitted to Linyi People′s Hospital Affiliated to Shandong Second Medical University from January 1, 2020 to December 31, 2024 were collected. The patients′ basic information (gender, age), warfarin medication details (indications, dosage, frequency, etc.), comorbidities, concomitant medication usage, international normalized ratio (INR) and serum creatinine (Scr) test results before and after the occurrence of WRN, as well as the clinical manifestations, interventions, and outcomes of WRN were extracted. The causal relationship between warfarin and renal dysfunction was evaluated according to the Adverse Drug Reaction Reporting and Monitoring Manual. The clinical data of patients were descriptively and statistically analyzed. Results:A total of 11 patients were entered in the analysis, including 7 males and 4 females; the age ranged from 49 to 85 years, with a median age of 70 years, and 9 cases were older than 60 years. The causality evaluation showed that 3 patients were definite and 8 patients were probable. All the 11 patients had at least one comorbidity, including 6 cases of heart failure, 6 cases of hypoproteinemia, 4 cases of chronic kidney disease, 3 cases of hypertension, 3 cases of pulmonary infection, and 1 case of diabetes. Seven patients were treated with warfarin combined with broad-spectrum antibiotics, 6 combined with diuretics, and 3 combined with renin angiotensin system blockers. The time from the highest INR to the highest Scr level was 0-6 days, with a median time of 2 days, and it was ≤2 days in 9 patients. Six patients had bleeding manifestations such as microscopic hematuria, melena, epistaxis, hematochezia, and skin ecchymosis. Among the 11 patients, 10 stopped warfarin immediately and 1 reduced dosage. All patients received different doses of vitamin K 1 according to the INR level. Among the 6 patients of bleeding, 4 received symptomatic treatments such as omeprazole, tranexamic acid, somatostatin, thrombin powder and octreotide, and 2 patients received hemodialysis due to high Scr level. One patient with severe anemia received blood transfusion. After 1-5 days of treatments (with a median time of 2 days), the INR in all patients decreased to <3.00, of which 5 patients continued to take warfarin, 1 changed warfarin to rivaroxaban, and 5 did not continue anticoagulation therapy. After 2 to 14 days of treatments, Scr in 8 patients recovered to the reference value range, and Scr in 3 patients was still at a high level, of which 1 patient died of unexplained cardiac arrest. Conclusions:WRN is a common adverse reaction of warfarin, with or without bleeding. After the occurrence of WRN, the drug should be stopped as soon as possible and symptomatic treatment should be given. The prognosis is generally good, but it may also lead to chronic kidney disease.

Clinical research on rare diseases has always faced multiple challenges in clinical research design and implementation due to small sample sizes of patients,high heterogeneity,and limited research resources.The rapid development of digital intelligence technology has provided innovative solutions for rare disease research.This article systematically explores the current status and response strategies of clinical research on rare diseases in the digital intelligence age.On the one hand,the efficiency of rare disease research has been optimized through adaptive design,mixed trial mode,and precision medicine stratification methods.On the other hand,solutions based on digital technology have been proposed to address the practical challenges of recruitment difficulties and underrepresentation of rare disease clinical research patients,data management and technical barriers,and insufficient coverage of natural medical history and baseline databases through digital intelligence technology.By combining international collaboration,intelligent screening,and remote experiments,a multidisciplinary collaboration and international cooperation,adaptive design,digital data platform,and patient-centered remote research model have been constructed as the core implementation strategies.Typical cases demonstrate that digital intelligence technology not only effectively shortens the drug development cycle,but also significantly enhances patient benefits,providing a replicable practical paradigm for global rare disease research.The practice of digital platforms represented by the International Rare Disease Research Alliance and the China Rare Disease Diagnosis and Treatment Collaboration Network has further verified the feasibility and promotional value of the digitalization path.In summary,digital intelligence technology has shown considerable promise in overcoming the clinical research challenges of rare diseases and accelerating the development of treatment plans,providing systematic references for researchers,regulatory agencies,and patient organizations.It is expected to drive the clinical research of rare diseases towards a more efficient and accurate future.