Objective To investigate the expression and prognostic value of serum receptor for advanced glycation end products(RAGE)and CXC-chemokine ligand 16(CXCL16)in patients with sepsis complicated with acute respiratory distress syndrome(ARDS).Methods A total of 234 patients with sepsis diagnosed and treated in a hospital from January 2019 to January 2022 were selected as the study subjects,and were divided into 82 patients with sepsis complicated with ARDS(ARDS group)and 152 patients with sepsis without ARDS(non-ARDS group)according to whether the subjects were complicated with ARDS.ARDS group was divided into survival group(n=50)and death group(n=32)according to the survival status within 28 days of admission.Another 60 healthy subjects who underwent physical examination in the same period were se-lected as the control group.Serum RAGE and CXCL16 levels were detected by enzyme-linked immunosorbent assay.Pearson correlation analysis of serum RAGE and CXCL16 levels with sequential organ failure assess-ment(SOFA)score,acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ)score and oxygenation index in patients with sepsis and ARDS.Multivariate Logistic regression analysis of prognostic factors of sep-sis complicated with ARDS.The predictive value of serum RAGE and CXCL16 on the prognosis of sepsis complicated with ARDS patients was analyzed by receiver operating characteristic curve.Results The serum RAGE and CXCL16 levels in ARDS group were higher than those in non-ARDS group and control group,and the serum RAGE and CXCL16 levels in non-ARDS group were higher than those in control group,the differ-ence was statistically significant(P＜0.05).Compared with the survival group,the mechanical ventilation time,intensive care unit stay time,procalcitonin,SOFA score,APACHE Ⅱ score,serum RAGE,CXCL16 lev-els were higher in the death group,and the oxygenation index was lower,with statistical significance(all P＜0.05).The serum RAGE level in patients with sepsis complicated with ARDS was positively correlated with SOFA score and APACHE Ⅱ score(r=0.603,0.671,P＜0.05).Serum CXCL16 levels were positively corre-lated with SOFA score and APACHE Ⅱ score(r=0.655,0.707,P＜0.05).Serum RAGE and CXCL16 were negatively correlated with oxygenation index(r=-0.712,-0.683,P＜0.05).Multi-factor Logistics regres-sion analysis showed that serum RAGE and CXCL16 were independent risk factors for death within 28 days of admission in patients with sepsis complicated with ARDS.The area under the curve(AUC)of combined de-tection of serum RAGE and CXCL16 for predicting death within 28 days of admission in patients with sepsis complicated with ARDS was 0.882,which was higher than that of single index detection of serum RAGE and CXCL16,and the difference was statistically significant(Z=4.450,4.906,P＜0.05).Conclusion The com-bined detection of serum RAGE and CXCL16 is helpful to evaluate the clinical prognosis of sepsis complicated with ARDS patients.

Informed consent is an important ethical symbol in clinical research,and researchers have the responsibility to fully inform participants of the research information before conducting clinical research.However,it is difficult to obtain complete informed consent form participants or their guardians within a narrow treatment time period in clinical research conducted in emergency situations.Currently,in addition to traditional general informed consent,there are also reality-accepted informed consent,including exemption of informed consent,broad informed consent,and deferred informed consent.By introducing the origin and development process of deferred informed consent in clinical research,this paper sorted out the current application status of deferred informed consent,proposed the prerequisites for applying deferred informed consent in emergency situations,and explored the issues that need to be noted during the application process of deferred informed consent.It is hoped to provide an ethical defense and ethical procedure for the application of deferred informed consent in clinical research in emergency situations.

OBJECTIVE To explore the safety and efficacy of tocilizumab in the treatment of refractory anti-N-methyl-D-aspartate receptor encephalitis in children, and to provide reference for the treatment of this disease. METHODS The clinical manifestations, diagnosis and treatment, safety and efficacy of tocilizumab in a case of refractory anti-NMDAR encephalitis in Children’s Hospital, Zhejiang University School of Medicine were analyzed retrospectively, and the relevant literature was reviewed. RESULTS The clinical symptoms of the patient were not improved after 2 doses of methylprednisolone, immunoglobulin and 6 doses of rituximab. After 6 doses of tocilizumab, the modified Rankin scale(mRS) score was improved without adverse reactions. CONCLUSION Tocilizumab, as a escalation second-line immunotherapy, is effective and well tolerated in the treatment of refractory anti-NMDAR encephalitis. It is one of the potential therapeutic means.

AIM: To analyze and screen influencing factors of diabetic patients complicated with retinopathy, and establish and validate prediction model of nomogram.METHODS: A total of 1 252 patients from the Diabetes Complications Early Warning Dataset of the National Population Health Data Archive(PHDA)between January 2013 to January 2021 were selected and randomly divided into a modeling group(n=941)and a validation group(n=311). Univariate analysis, LASSO regression and Logistic regression analysis were used to screen out the influencing factors of diabetic retinopathy, and a nomogram prediction model was established. The receiver operating characteristic curve, Hosmer-Lemeshow test and calibration curve were used to evaluate the model. The clinical benefit was evaluated by the decision curve analysis(DCA).RESULTS: Age, hypertension, nephropathy, systolic blood pressure(SBP), glycated hemoglobin(HbA1c), high-density lipoprotein cholesterol(HDL-C), and blood urea(BU)were the influencing factors of diabetic retinopathy. The area under the curve(AUC)of the modeling group was 0.792(95%CI: 0.763-0.821), and the AUC of the validation group was 0.769(95%CI: 0.716-0.822). The Hosmer-Lemeshow goodness of fit test and calibration curve suggested that the theoretical value of the model was in good agreement(modeling group: χ2=14.520, P=0.069; validation group: χ2=14.400, P=0.072). The DCA results showed that the threshold probabilities range was 0.09-0.89 for modeling group and 0.07-0.84 for the validation group, which suggested the clinical net benefit was higher.CONCLUSION: This study constructed a risk prediction model including age, hypertension, nephropathy, SBP, HbA1c, HDL-C, and BU. The model has a high discrimination and consistency, and can be used to predict the risk of diabetic retinopathy in patients with diabetes.

Small for gestational age (SGA) infants are more likely to experience neurocognitive impairments compared to appropriate for gestational age (AGA) infants. This paper reviews recent research on the neurocognitive development of SGA children. SGA can lead to a "brain-sparing effect" due to growth restriction, which may affect cerebral blood flow and brain structure. However, this does not guarantee normal brain development. Restrictive blood flow can result in changes in brain structure, such as reduced total white matter and gray matter volume in various brain regions, including the cerebral cortex, hippocampus and cerebellum, ultimately leading to decreased head circumference. SGA children also exhibit lower scores in all neurocognitive domains, including intelligence, attention, memory, and executive function. This may result in poor academic performance and an increased risk of social, behavioral, and neurological problems, such as cerebral palsy, epilepsy, visual and hearing impairments, as well as comorbidities like attention deficit hyperactivity disorder(ADHD), autism spectrum disorder(ASD), anxiety, depression, and schizophrenia. Several risk factors for SGA-related neurocognitive impairments have been identified, including gestational hypertension, abnormal gestational weight, smoking, and catch-up growth. Studies have shown that the best interventions to improve cognitive dysplasia include nutrient supplementation, continued breastfeeding, high-quality education, and appropriate early intervention (responsive parenting) are effective in improving cognitive outcomes for SGA children.

Objective To analyze the risk factors influencing the occurrence of atherosclerosis in patients with type 2 diabetes, and to construct and evaluate a nomogram prediction model. Methods Multivariate logistic regression was used to analyze the risk factors of atherosclerosis in type 2 diabetes mellitus, and R software was used to build a nomogram prediction model. The accuracy and clinical validity of the model were verified by using H-L fit curve, area under ROC curve and calibration curve. Results The prevalence rate of atherosclerosis was 56.37%. Independent risk factors for atherosclerosis in type 2 diabetes mellitus (P<0.05) were body weight (OR=1.42，P<0.05), glycated serum protein (OR=1.35, P<0.05), lactate dehydrogenase (OR=1.17, P<0.05), alkaline phosphatase (OR=0.79, P<0.05), hyperlipidemia (OR=2.30, P<0.05), stroke (OR=4.20, P<0.05), coronary heart disease (OR=64.54, P<0.05), lower extremity artery disease (OR=24.52, P<0.05), and other endocrine diseases (OR=1.65 , P<0.05). The area under ROC curve was 0.91, the slope of the calibration curve was close to 1, and the H-L fit curve χ²=3.11. The internal verification result of the constructed nomogram prediction model was P=0.93. External verification of patients in the test set showed that the area under ROC curve was 0.91, indicating good differentiation and accuracy of the model. Conclusion The prediction model established by using the risk factors screened in this study has a high accuracy and differentiation, and medical staff can take effective prevention measures according to the individual factors of patients.

Objective:To evaluate the predictive value of neutrophil free fatty acid receptor 3 (FFAR3) for secondary infection in patients with severe acute pancreatitis (SAP).Methods:① Biological information analysis: peripheral blood microarray data sets related to acute pancreatitis (GSE194331) were obtained from the Gene Expression Omnibus (GEO), including data from 32 healthy adults, 52 patients with mild acute pancreatitis, 20 patients with moderate-to-severe acute pancreatitis, and 10 patients with SAP. The original data of GSE194331 dataset were downloaded for quality control, pruning, quantification, annotation and difference analysis, and the different genes were obtained. ② Clinical study: a prospective observational study was conducted. Forty-five SAP patients admitted to the critical care medicine department of the Eastern Theater Command General Hospital of the Chinese People's Liberation Army from January to November 2022 were enrolled, and they were divided into infected group and non-infected group according to whether secondary infection occurred during intensive care unit (ICU) stay. At the same time, 10 healthy adult volunteers were enrolled as control. Peripheral blood of subjects in each group was collected, neutrophils were isolated, and FFAR3 mRNA expression was detected by real-time fluorescence quantitative reverse transcription-polymerase chain reaction (RT-PCR). Spearman correlation method was used to analyze the correlation between neutrophil FFAR3 mRNA expression and secondary infection in SAP patients. Multivariate Logistic regression analysis was used to evaluate whether neutrophil FFAR3 mRNA expression was a risk factor for secondary infection in SAP patients. Receiver operator characteristic curve (ROC curve) was plotted to evaluate the predictive value of neutrophil FFAR3 mRNA expression on secondary infection in SAP patients.Results:① Results of biological information analysis: the analysis of GSE194331 dataset showed that 301 genes were differentially expressed in peripheral blood cells between healthy controls and patients with pancreatitis. By biological function analysis, 8 biological functions involved in immune response were obtained, and 44 differential expressed genes were enriched in these 8 biological functions. The results of cell distribution analysis showed that there were 21 differential expressed genes expressions on neutrophils significantly higher than other immune cells, and the gene related to lipid metabolism was FFAR3. These results indicated that FFAR3 expression was closely related to the occurrence and development of SAP. ② Clinical study results: out of the 45 SAP patients, 24 developed into secondary infection during ICU stay, 21 did not develop into secondary infection. The expression of neutrophil FFAR3 mRNA in SAP patients with secondary infection was significantly higher than that in SAP patients without secondary infection and healthy controls [2 -ΔΔCt: 3.8 (3.0, 4.2) vs. 1.4 (1.1, 2.7), 1.0 (0.8, 1.1), both P < 0.05]. Spearman correlation analysis showed that neutrophil FFAR3 mRNA expression was positively correlated with secondary infection in SAP patients ( r = 0.799, P < 0.001). Multivariate Logistic regression analysis showed that increased FFAR3 mRNA expression was an independent risk factor for secondary infection in SAP patients [odds ratio ( OR) = 17.212, 95% confidence interval (95% CI) was 3.004-98.613, P = 0.001]. ROC curve analysis showed that the area under the ROC curve (AUC) of neutrophil FFAR3 mRNA expression for predicting secondary infection in SAP patients was 0.856 (95% CI was 0.750-0.981, P < 0.001). When the optimal cut-off value was 2.37, the sensitivity was 95.83% and the specificity was 76.19%. According to the optimal cut-off value of neutrophil FFAR3 mRNA expression (2.37) for predicting secondary infection in SAP patients obtained by ROC curve analysis, 45 SAP patients were divided into two groups for subgroup analysis. It suggested that the incidence of secondary infection in SAP patients with FFAR3 mRNA expression level ≥2.37 was significantly higher than that in SAP patients with FFAR3 mRNA expression level < 2.37 [82.14% (23/28) vs. 5.88% (1/17)], and the difference was statistically significant ( P < 0.01). Conclusion:The expression of FFAR3 mRNA in neutrophils is closely related to the secondary infection in SAP patients, and monitoring its level can effectively predict the secondary infection in SAP patients.

Purpose/Significance To explore the application and predictive accuracy of various models in predicting the risk of ather-osclerosis in diabetic patients.Method/Process Based on the biochemical data table from the"Diabetes Complications Warning Dataset"provided by the National Population Health Science Data Center,MATLAB software is used to construct risk prediction models for diabe-tes-induced atherosclerosis.The models are built by using k-nearest neighbors(KNN),decision trees,backpropagation(BP)neural networks,and Naive Bayes algorithms,and which are subjected to comparative analysis.Result/Conclusion In terms of effectiveness,the predictive accuracy of Naive Bayes algorithm is the highest(61.6％),followed by the decision tree model(58.2％),the KNN mod-el(57.7％),and the BP neural network model(55.9％).The results of the confusion matrix and the receiver operating characteristic(ROC)curve indicate that the Naive Bayes model performs best.When comparing the models in terms of effectiveness,performance and stability,the Naive Bayes model is superior.

Objective:To investigate the clinical characteristics of first-episode and recurrent acute hypertriglyceridemic pancreatitis (HTGP).Methods:The retrospective cohort study was con-ducted. The clinical data of 313 patients with HTGP admitted to 26 medical centers in China in the Chinese Acute Pancreatitis Clinical Research Group (CAPCTG)-PERFORM database from November 2020 to December 2021 were collected. There were 219 males and 94 females, aged 38(32,44)years. Of the 313 patients, 193 patients with first-episode HTGP were allocated into the first-episode group and 120 patients with recurrent HTGP were allocated into the recurrent group. Observation indica-tors: (1) propensity score matching and comparison of general data of patients between the two groups after matching; (2) comparison of severity and prognosis in the course of disease within 14 days between the two groups; (3) the association between recurrent HTGP and the risk of persistent organ failure (POF); (4) follow-up. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was conducted using the independent sample t test. Measurement data with skewed distribution were represented as M( Q1, Q3), and comparison between groups was conducted using the Wilcoxon rank sum test. Count data were expressed as absolute numbers or percentages, and comparison between groups was conducted using the chi-square test. Comparison of ordinal data was conducted using the Wilcoxon rank sum test. The Kaplan-Meier method was used to plot the cumulative recurrence rate curve and Log-Rank test was used for survival analysis. The Logistic regression model was used for multivariate analysis, and continuous variables were converted into categorical variables according to the mean value or common criteria. Propensity score matching was performed by 1∶1 nearest neighbor matching method, with caliper value of 0.02. Paired t test or Wilcoxon rank sum test and McNemar′s test were used for comparison between matched groups. Results:(1) Propensity score matching and comparison of general data of patients between the two groups after matching. Of the 313 patients,208 cases were successfully matched, including 104 cases in the first-episode group and 104 cases in the recurrent group. After propensity score matching, there was no significant difference in demographic characteristics, severity of illness scores and laboratory test between the two groups ( P>0.05). The elimination of gender, acute physiology and chornic health evaluation (APACHE) Ⅱ score, computed tomography severity index score, systemic inflammatory response syndrome score, sequential organ failure assessment score, apolipoprotein E, C-reactive protein, creatinine, lactic acid dehydrogenase, procal-citonin confounding bias ensured comparability between the two groups. (2) Comparison of severity and prognosis in the course of disease within 14 days between the two groups. There were signifi-cant differences in POF and local complications between the first-episode group and the recurrent group ( P<0.05). (3) The association between recurrent HTGP and the risk of POF. Results of uncor-rected univariate analysis showed that there was no association between recurrent HTGP and the risk of POF ( odds ratio=0.78, 95% confidence interval as 0.46-1.30, P>0.05). Results of multivariate analysis after adjusting for covariates such as gender, age, APACHE Ⅱ score, C-reactive protein, triglyceride and total cholesterol showed that compared with first-episode HTGP, recurrent HTGP was associated with a higher risk of POF ( odds ratio=2.22, 95% confidence interval as 1.05-4.71, P<0.05). Results of subgroup analysis showed that age<40 years was associated with an increased risk of POF ( odds ratio=3.31, 95% confidence interval as 1.09-10.08, P<0.05). (4) Follow-up. Twelve of the 313 patients died during hospitalization, including 9 cases in the first-episode group and 3 cases in the recurrent group. The rest of 301 surviving patients, including 184 cases in the first-episode group and 117 cases in the recurrent group, were followed up for 19.2(15.5, 21.9)months. Results of follow-up showed that for 184 survived patients of the first-episode group, 164 cases were followed up and 24 cases experienced recurrence, for 117 survived patients of the recurrent group,29 cases experienced recurrence, showing a significant difference between the two groups ( χ2=4.67, P<0.05). Conclusion:Compared with first-episode HTGP, patients with recurrent HTGP are more prone to POF and local complications, and are more prone to recurrence after discharge. The risk of POF in recurrent HTGP patients is 2.22 times that of those with first-episode, and the risk is higher in patients with age <40 years.

Objective:To investigate the efficacy and prognosis of CLAG±DAC (Clofarabine, Cytarabine, G-CSF±Decitabine) chemotherapy in patients with relapsed/refractory acute myeloid leukemia (R/R AML) .Methods:Continuous cases of R/R AML treated with the CLAG+DAC protocol or CLAG alone at the First Affiliated Hospital of Soochow University from January 2017 to December 2021 were retrospectively analyzed. The baseline characteristics, individual treatment regimen, treatment effect, disease progression, and survival status of patients were recorded. The factors influencing the efficacy of the CLAG±DAC chemotherapy regimens were analyzed, and the overall survival (OS) time after reinduction was calculated using the Kaplan-Meier method.Results:This study included a total of 53 patients, with 33 male patients and an average age of 40.6 years. Thirty-three patients achieved complete remission (CR+CRi) of the disease after the CLAG±DAC chemotherapy regimen and six patients achieved partial remission (PR), while 14 did not. Thirty-two patients eventually underwent hematopoietic stem cell transplantation, and the median OS of the patients was 55.9 months until follow-up. Patients with disease remission after the application of the CLAG±DAC chemotherapy had a significantly longer survival time than those without remission ( P<0.001). The results of the multifactorial analysis have revealed that combined DAC ( OR=4.60, 95% CI 1.14-23.5, P=0.04) and DNMT3A mutation ( OR=0.14, 95% CI 0.01-0.89, P=0.05) were the factors influencing the efficacy of the CLAG±DAC chemotherapy regimen. The remission rate was relatively higher in patients with R/R AML combined with FLT3-ITD mutation by applying the DAC+CLAG regimen ( OR=10.84, 95% CI 1.48-288.50, P=0.04) . Conclusion:The CLAG±DAC regimen is considered effective in patients with R/R AML, whereas decitabine combined with the CLAG regimen is more suitable for patients with R/R AML combined with FLT3-ITD mutation.