BACKGROUND: Treatment with chimeric antigen receptor-T (CAR-T) cells has shown promising effectiveness in patients with relapsed/refractory B-cell acute lymphoblastic leukemia (R/R B-ALL), although the process of preparing for this therapy usually takes a long time. We have recently created CD19 Fast-CAR-T (F-CAR-T) cells, which can be produced within a single day. The objective of this study was to evaluate and contrast the effectiveness and safety of CD19 F-CAR-T cells with those of CD19 conventional CAR-T cells in the management of R/R B-ALL. METHODS: A multicenter, retrospective analysis of the clinical data of 44 patients with R/R B-ALL was conducted. Overall, 23 patients were administered with innovative CD19 F-CAR-T cells (F-CAR-T group), whereas 21 patients were given CD19 conventional CAR-T cells (C-CAR-T group). We compared the rates of complete remission (CR), minimal residual disease (MRD)-negative CR, leukemia-free survival (LFS), overall survival (OS), and the incidence of cytokine release syndrome (CRS) and immune effector cell-associated neurotoxicity syndrome (ICANS) between the two groups. RESULTS: Compared with the C-CAR-T group, the F-CAR-T group had significantly higher CR and MRD-negative rates (95.7% and 91.3%, respectively; 71.4% and 66.7%, respectively; P = 0.036 and P = 0.044). No significant differences were observed in the 1-year or 2-year LFS or OS rates between the two groups: the 1-year and 2-year LFS for the F-CAR-T group vs.C-CAR-T group were 47.8% and 43.5% vs. 38.1% and 23.8% (P = 0.384 and P = 0.216), while the 1-year and 2-year OS rates were 65.2% and 56.5% vs. 52.4% and 47.6% (P = 0.395 and P = 0.540). Additionally, among CR patients who underwent allogeneic hematopoietic stem cell transplantation (allo-HSCT) following CAR-T-cell therapy, there were no significant differences in the 1-year or 2-year LFS or OS rates: 57.1% and 50.0% vs. 47.8% and 34.8% (P = 0.506 and P = 0.356), 64.3% and 57.1% vs. 65.2% and 56.5% (P = 0.985 and P = 0.883), respectively. The incidence of CRS was greater in the F-CAR-T group (91.3%) than in the C-CAR-T group (66.7%) (P = 0.044). The incidence of ICANS was also greater in the F-CAR-T group (30.4%) than in the C-CAR-T group (9.5%) (P = 0.085), but no treatment-related deaths occurred in the two groups. CONCLUSION Compared with C-CAR-T-cell therapy, F-CAR-T-cell therapy has a superior remission rate but also leads to a tolerably increased incidence of CRS/ICANS. Further research is needed to explore the function of allo-HSCT as an intermediary therapy after CAR-T-cell therapy.

ObjectiveTo analyze the trend and influencing factors of low birth weight (LBW) among newborns in Chongming District of Shanghai from 2008 to 2022, so as to provide references for the development of intervention measures reducing the rate of LBW. MethodsBirth surveillance data of Chongming District of Shanghai from 2008 to 2022 were collected and organized, and the annual percentage change (APC) of LBW was calculated by using Joinpoint 5.0.2 software for trend change analysis. Logistic regression analysis was used to analyze the influencing factors of LBW. ResultsThe overall incidence of LBW was 3.71% in Chongming District, Shanghai from 2008 to 2022. Joinpoint trend analysis showed that the incidence of LBW in Chongming District had an upward trend (APC=5.49%, 95%CI: 3.31%‒7.72%, P<0.001).Multivariate logistic regression analysis showed that preterm birth, multiple births, female infants, birth defects, first pregnancy, primiparity, and a young father age (<20 years) were risk factors for LBW in Chongming District. Among the term infants, female infants, birth defects, and first pregnancy were risk factors for LBW (P<0.05). Female infants, birth defects, first pregnancy, primiparity, advanced maternal age (≥35 years), and a young father age (<20 years) were risk factors in singleton neonates. ConclusionThe incidence of LBW among newborns is on the rise in Chongming District of Shanghai. Therefore, high risk groups need to be identified, and prenatal check-ups and pregnancy care should be strengthened to reduce the risk of neonatal LBW.

Objective A Nomogram model of cognitive frailty was constructed and validated in hospitalized older adults,providing a reference for early screening,intervention and personalized management of cognitive frailty.Methods A convenience sampling approach was employed to recruit 322 elderly inpatients from a tertiary hospital in Beijing between October 2024 and February 2025 as study participants,and data were collected using the General Information Questionnaire,the Short Form-Mini-Nutritional Assessment,the Asens Insomnia Scale,the Activity of Daily Living Rating,the Self-Rating Anxiety Scale,the Geriatric Depression Scale-15,the Social Support Rating Scale,the Frailty Phenotype scale,the Subjective Cognitive Decline Questionnaire-9,the Mini-Mental State Examination,and the Clinical Dementia Rating.Lasso-Logistic regression was used to screen the variables,R software was used to draw the nomogram model;Bootstrap method was used for internal validation.Results Lasso-Logistic regression screened 8 predictors of age,depression,anxiety,support utilization,nutritional status,literacy,physical activity,and chronic pain,with an area under the subject operating characteristic curve of 0.830(95％CI:0.787-0.873),a sensitivity of 0.764,a specificity of 0.730,an accuracy of 0.748,and a calibrated curve,Brier score,and Hosmer-Lemeshow test(P=0.774)all showed that the model fit was good.Conclusion The Lasso-Logistic regression-based nomogram model of cognitive frailty in hospitalized older adults has good predictive performance and clinical utility,and can be used as a reference for early identification and intervention of cognitive decline in hospitalized older adults.

Objective:To evaluate the prognosis of patients with resectable pancreatic ductal adenocarcinoma (PDAC) treated by gemcitabine and nab-paclitaxel (AG) or AG combined with pro-grammed death-1 (PD-1) inhibitor regimen and application value of the Cleveland Clinic Foundation (CCF) risk score.Methods:The retrospective cohort study was conducted. The clinicopathological data of 151 PDAC patients who were treated by AG regimen or AG combined with PD-1 inhibitor regimen in Zhejiang Cancer Hospital from January 2013 to March 2024 were collected. There were 84 males and 67 females, aged (64±9)years. Observation indicators: (1) comparison of clinical characteristics among resectable PDAC patients with different CCF risk score; (2) analysis of influencing factors for overall survival time of resectable PDAC patients; (3) survival of resectable PDAC patients. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test. Comparison of ordinal data between groups was conducted using the rank sum test. Univariate and multivariate analyses were conducted using the Cox regression model. Kaplan-Meier method was used to calculate survival rate and plot survival curve, and Log-rank test was used for survival analysis. Results:(1) Comparison of clinical characteristics among resectable PDAC patients with different CCF risk score. Based on CCF risk score, 102 of 151 patients were classified as low risk and 49 cases were classified as intermediate-to-high risk. There were signi-ficant differences in sex, age, smoking status, alcohol consumption, hypertension, and diabetes between the two categories ( P<0.05). (2) Analysis of influencing factors for overall survival time of resectable PDAC patients. Results of multivariate analysis showed that the treatment regimen was an indepen-dent influencing factor for overall survival time of resectable PDAC patients ( hazard ratio=1.976, 95% confidence interval as 1.065?3.666, P<0.05). (3) Survival of resectable PDAC patients. The follow-up time of 151 patients was 21.8(18.7,24.2)months, and the median overall survival time was 23.3(19.0,32.4)months. The follow-up time was 22.1(18.9,30.7)months of patients treated by AG regimen and 11.2(8.1,23.3)months of patients treated by AG combined with PD-1 inhibitor regimen, respectively. The median overall survival time of the two types of patients was 24.4(17.2,31.7)months and 16.9(8.9,24.9)months. The 1-year overall survival rates were 79.1% and 60.0%, and the 2-year overall survival rates were 53.4% and 28.5%, respectively. There was a significant difference in the overall survival between the two types of patients ( hazard ratio=1.913, 95% confidence interval as 1.041?3.516, P<0.05). Of the intermediate-to-high risk patients, the follow-up time was 18.5(8.8,28.1)months of 37 patients treated by AG regimen and 8.1(7.3,9.0)months of 12 patients treated by AG combined with PD-1 inhibitor regimen. The median overall survival time of the two types of patients was 32.4(15.7,49.0)months and 8.9(5.7,12.1)months, respectively. The 1-year overall survival rates were 82.7% and 31.3%, and the 2-year overall survival rates were 66.5% and 0, respectively. There was a significant difference in the overall survival between the two types of patients ( hazard ratio=5.402, 95% confidence interval as 1.811?16.118, P<0.05). Conclusions:The treatment regimen is an independent influencing factor for overall survival in patients with resectable PDAC. Compared with the AG combined with PD-1 inhibitor regimen, AG regimen is associated with good survival of patients with resectable PDAC. For patients classified as intermediate-to-high risk based on the CCF risk score, AG regimen is assiociated with a better overall survival compared to AG combined with PD-1 inhibitor regimen.

Objective To investigate the diagnostic accuracy and clinical applicability of the Linknet-VGG16 deep learning algorithm for measuring the effective optical zone(EOZ)after corneal refractive surgery.Methods This single-center retrospective cohort study included 69 patients(69 eyes)who underwent femtosecond laser-assisted in situ kerato-mileusis(FS-LASIK)(34 eyes)or small incision lenticule extraction(SMILE)(35 eyes)at the Refractive Surgery Center of Affiliated Zhengzhou Aier Eye Hospital of Henan University from June 2023 to June 2024.Data from the right eyes of all patients were selected for statistical analysis.During the surgery,patients in the FS-LASIK group adopted the VisuMax fem-tosecond laser system combined with the Amaris 750S excimer laser system,while those in the SMILE group only used the VisuMax femtosecond laser system.A total of 276 Pentacam images were re-examined postoperatively.A Linknet segmenta-tion model based on the VGG16 encoder was constructed,and image normalization techniques were applied to accelerate model convergence.Model performance was assessed using accuracy,intersection over union(IoU),and the Dice coeffi-cient.The traditional EOZ measurement method based on corneal tangential curvature served as the reference standard.Bland-Altman analysis was conducted to evaluate consistency across all images and within each group,and the time effi-ciency of both methods was compared.Results Six representative medical image segmentation architectures(U-Net,U-Net++,DeepLabv3-ResNet50,DeepLabv3+-ResNet50,Unet-Densenet169,and Linknet-VGG16)were systematically evaluated.The Linknet-VGG16 model demonstrated superior performance over the other 5 models in pixel-level accuracy,IoU and Dice coefficient,which were 99.83％,99.48％and 99.74％,respectively.Although there was no significant differ-ence in accuracy and Dice coefficient between Linknet-VGG16 and U-Net models(whose accuracy was 99.82％and Dice coefficient was 99.72％),the inference speed of the U-Net model(62.46 ms)was 31.76％slower than that of the Linknet-VGG16 model(42.62 ms).The evaluation results of a clinically applicable comprehensive scoring model(weights:accura-cy 20％,IoU 20％,Dice coefficient 20％,speed 25％,model size 15％)showed that the Linknet-VGG16 model achieved a score of 88.01,surpassing other architectures(U-Net:86.29;DeepLabv3+-ResNet50:80.41;DeepLabv3-ResNet50:73.82;U-Net++:73.22;Unet-Densenet169:66.66).Bland-Altman analysis revealed that the mean difference of the 136 images in the FS-LASIK group was 0.01 mm[95％limits of agreement(LoA):-0.36 to 0.35 mm],with 96.3％of data points falling within the LoA.The mean difference of the 140 images in the SMILE group was-0.01 mm(95％LoA:-0.36 to 0.33 mum),with 95.7％of data points falling within the LoA.The mean difference of all 276 images was 0.00 mm(95％LoA:-0.36 to 0.34 mm),with 96.4％of data points falling within the LoA.These results indicated excellent consistency.The average measurement time per image using the traditional EOZ measurement method was 13.00 minutes,whereas the deep learning model required only 3.22 seconds.Conclusion The traditional EOZ measurement method based on corne-al tangential curvature exhibits good consistency with the fully automatic EOZ measurement method based on deep learning algorithms,achieving high image recognition accuracy.Additionally,the deep learning algorithm significantly reduces measurement time,compared with the traditional method based on corneal tangential curvature.

Objective·To evaluate the relationships between disc-condyle distance and anterior disc displacement,as well as between disc-condyle distance and disc morphology,in patients with temporomandibular disorders(TMD)using magnetic resonance imaging(MRI)of the temporomandibular joint(TMJ).Methods·From September 2023 to March 2024,90 patients(180 TMJs)who visited the TMJ clinic of Department of Stomatology,The Second Affiliated Hospital of Anhui Medical University,with clinical symptoms of TMD and were diagnosed via MRI with either anterior disc displacement or no significant displacement,were included.Clinical data were collected,and MRI images were used to measure the angle of disc displacement,disc-condyle distance,disc length,and thickness.The degree of disc deformation was assessed.The relationships between clinical symptoms and anterior disc displacement,between anterior disc displacement and both disc morphology and disc-condyle distance,and between disc-condyle distance and disc morphology were analyzed.Results·Among the 90 patients,there were 16 males and 74 females,with a mean age of(28.1±14.5)years.Among the 180 TMJs,175 had clinical symptoms and 5 were asymptomatic.There were 40 joints with no displacement,78 with reducible anterior disc displacement,and 62 with irreducible anterior disc displacement.In the joints with irreducible anterior disc displacement,the proportion of those with two or more symptoms was slightly higher at 62.9%,but the difference was not statistically significant compared with the joints with no displacement or reducible anterior disc displacement.MRI assessment revealed that in the joints with irreducible anterior disc displacement,the proportion of disc deformation type Ⅲ or higher was significantly higher compared with the non-displaced joints(P<0.001).The disc length was significantly shorter(P<0.001),and the intermediate zone thickness was significantly greater(P<0.001)compared with the non-displaced joints.The disc displacement angles at centric closure and maximum opening were also significantly larger(P<0.001).The disc-condyle distance was 3.10(2.70,3.70)mm for non-displaced joints,3.40(3.00,4.00)mm for joints with reducible anterior disc displacement,and 6.60(4.78,7.90)mm for joints with irreducible anterior disc displacement,with significant differences(P<0.001).The disc-condyle distance was 3.10(2.80,3.60)mm for type Ⅰ discs,3.70(3.10,4.60)mm for type Ⅱ discs,5.10(4.00,7.30)mm for type Ⅲ discs,and 6.80(4.98,8.20)mm for type Ⅳ/Ⅴ discs,with significant differences(P<0.001).The disc-condyle distance was negatively correlated with disc length(rs=-0.469,P<0.001),positively correlated with intermediate zone thickness(rs=0.319,P<0.001),and positively correlated with disc displacement angle at centric closure(rs=0.626,P<0.001).Conclusion·With increasing severity of disc deformation,intermediate zone thickness,and disc displacement angle at centric closure,as well as decreasing disc length,the disc-condyle distance increases.The disc-condyle distance is an important indicator for MRI assessment of pathological changes in TMD.

Objective To explore the relationship between hemorheology and Carotid Atherosclerosis.Methods The clinical data of 153 patients who underwent both hemorheological testing and carotid artery ultrasound were divided into a CAS group(n=96)and a non-CAS group(n=57)based on ultrasound findings.Clinical data and laboratory indicators were compared between two groups.Multivariate logistic regression analysis was used to explore the influencing factors of CAS.The ROC curves graph were drawn to observe the role of hemorheological indicators in predicting CAS and select the optimal cutoff value based on the maximum Youden index.Results The CAS group demonstrated higher levels in age,BMI,RBC aggregation index,low&high shear reduced viscosity of whole blood,plasma viscosity and fibrinogen compared to the non-CAS group(P<0.05).The multivariate logistic regression analysis showed that plasma viscosity(OR=38.270,95%CI:1.206～1214.508),age(OR=1.119,95%CI:1.065～1.176)were risk factors for the occurrence of CAS(P<0.05).The ROC curves showed that the area under the curve(AUC)of plasma viscosity and age were 0.623、0.728.Conclusion CAS patients have high levels of plasma viscosity and advanged age compared to the patient without CAS.Elevated plasma viscosity and age is a risk factor for CAS,with plasma viscosity≥1.46 mPa·s,over the age of 56.5 as a significant value for predicting CAS.

Tracheal intubation is the most commonly used way to establish artificial airway in intensive care unit patients, and it is the premise of respiratory support and treatment, the success of extubation is an important basis to measure the prognosis of patients. Influenced by many factors, extubation of patients may fail, resulting in prolonged hospitalization, increased medical expenses and increased incidence of complications. This article reviews the literature at home and abroad, and summarizes the main mechanism, risk factors and prevention strategies of extubation failure in intensive care unit patients, aiming at improving the recognition ability of clinical medical staff for extubation failure and providing reference for clinical management and follow-up research.