Objective To summarize and analyze the efficacy and influencing factors of second allogeneic hematopoietic stem cell transplantation (allo-HSCT) for acute leukemia relapsing after the first allo-HSCT. Methods Clinical data of 17 patients with acute leukemia who underwent second allo-HSCT at Peking University First Hospital from January 2005 to December 2024 were retrospectively analyzed. Results Among the 17 patients, 7 achieved long-term disease-free survival after second transplantation. The median progression-free survival after successful second transplantation was 7 months (range 8 days to 69 months). The relapse fatality was 24%, and the transplant-related fatality was 35%. Conclusions Second transplantation is an effective treatment for relapsed and refractory acute leukemia, but the relapse fatality and transplant-related fatality remain high. Patient age, time of relapse after the first transplantation and disease status before second transplantation are all factors that affect the efficacy of second transplantation. Younger age, late relapse and complete remission of disease before second transplantation are all beneficial for long-term disease-free survival after second transplantation.

Background Frailty serves as a significant precursor to falls, disability, and mortality. Epidemiological evidence examining the impact of working hours on frailty remains scarce. Objective To explore the prevalence of frailty and the relationship between frailty and working hours among full-time middle-aged and older workers in China. Methods Data were derived from the 2020 China Health and Retirement Longitudinal Study (CHARLS). The study included full-time workers aged 45 years and above with a weekly working duration exceeding 35 h. Frailty was assessed using the Frailty Index (FI). First, the dose-response relationship between working hours and FI was explored using a generalized additive model (GAM). Second, univariate analyses were performed using t-tests, χ² tests, and the Jonckheere–Terpstra trend test. Restricted cubic splines (RCS) were introduced for modeling. Based on ordinal logistic regression models, covariates were adjusted sequentially to examine whether differences in frailty prevalence existed across different weekly working hour categories. Finally, subgroup analyses were performed. Results Among the 5504 included participants, the mean age was (56.41±7.30) years, with 2304 being female (41.86%). A total of 807 participants (14.66%) were identified as frail, and 2 686 participants (48.80%) were pre-frail. After standardization for gender and age according to the seventh national census data, the standardized prevalence of frailty and prefrailty were 18.89% and 47.25%, respectively. Significant higher proportions of frail individuals were found among those in non-managerial (73.73%), agricultural (64.06%), and non-employed (65.68%) occupations. Long working hours were prevalent: 2596 (47.17%) workers worked 41–60 h per week, 1649 (29.96%) worked >60 h per week, and only 1259 (22.87%) worked 35–40 h per week. GAM analysis showed a non-linear relationship between weekly working hours and FI. Restricted cubic spline analysis showed a statistically significant association between weekly working hours and frailty status (P=0.022). Logistic regression analysis revealed that individuals working more than 60 h per week had a 23% higher odds of frailty compared to those working 41–60 h (OR=1.23, 95%CI: 1.09, 1.38, P<0.01), while those working 35–40 h per week showed a 15% higher odds of frailty (OR=1.15, 95%CI: 1.01, 1.31, P=0.034). The subgroup analysis revealed that the positive association between working more than 60 h per week and frailty remained generally consistent across sex, age, urban/rural residence, occupational attributes, industry, or employment type, although the association did not reach statistical significance among non-rural residents and individuals aged 60 years and older. Conclusion The prevalence of frailty among full-time middle-aged and older labor force in China is relatively high, and the odds of frailty increases significantly among those who work more than 60 h per week. It is recommended to implement frailty prevention and management strategies targeting long-working-hour workers and to prioritize the impact of working duration on frailty.

Objective: To investigate the status and influencing factors of influenza vaccination among the elderly, so as to provide insights into improving the strategies for influenza vaccination among the elderly. Methods: Elderly people aged 60 years and above were recruited from one community each in five sub-districts of Shihezi City, Xinjiang Uygur Autonomous Region using a random sampling method. Demographic information, knowledge about influenza and influenza vaccines, vaccine literacy and influenza vaccination status in the past year were collected through questionnaire surveys. Factors affecting influenza vaccination among the elderly were analyzed using a multivariable logistic regression model. Results: Totally 1 121 valid questionnaires were recovered, with an effective recovery rate of 95.08%. There were 417 males (37.20%) and 704 females (62.80%). The majority were aged 60-<81 years, accounting for 80.37% (901 individuals). The awareness of knowledge about influenza and influenza vaccines was 78.86%. Low vaccine literacy was observed in 786 individuals, representing 70.12%. The influenza vaccination rate was 20.96%. Multivariable logistic regression analysis showed that age (71-<81 years, OR=1.607, 95%CI: 1.041-2.479; ≥81 years, OR=1.719, 95%CI: 1.040-2.842), educational level (middle school/technical secondary school, OR=0.616, 95%CI: 0.416-0.911), medical expense payment (employee medical insurance, OR=6.531, 95%CI: 2.030-21.010; resident medical insurance, OR=3.385, 95%CI: 1.095-10.466; public expense, OR=4.828, 95%CI: 1.700-13.712), vaccination willingness (yes, OR=6.237, 95%CI: 3.277-11.871), influenza vaccination history (yes, OR=14.600, 95%CI: 8.733-24.408) and vaccine literacy (medium and above, OR=2.412, 95%CI: 1.636-3.555) were associated with influenza vaccination among the elderly. Conclusion The influenza vaccination rate among the elderly was relatively low, and was mainly affected by age, educational level, medical expense payment, vaccination willingness, influenza vaccination history and vaccine literacy.

Objective: To evaluate the clinical value of combining low-dose energy spectrum CT with virtual un-enhanced(VUE) scanning and deep-learning image reconstruction(DLIR) in aortic CT angiography(CTA). Methods : In a prospective study, 94 patients scheduled for aortic CTA were randomized into two groups: a low-dose energy spectrum group and a standard 100 kVp enhancement group, with 47 patients in each. All patients initially underwent a true un-enhanced(TUE) scan at 120 kVp using adaptive statistical iterative reconstruction-V(ASIR-V) at 40% for image reconstruction. The low-dose group received enhanced scans using gemstone spectral imaging(GSI) mode with DLIR-H, producing 60 keV virtual monoenergetic images(VMIs) and VUE images. The standard group was scanned at 100 kVp, with images reconstructed using ASIR-V at 50%. Parameters were measured including CT values, noise(SD), signal-to-noise ratio(SNR), and contrast-to-noise ratio(CNR) for key vascular and muscular areas, alongside the effective radiation dose(ED). Two radiologists evaluated the image quality using a 5-point scale. Results : The low-dose group exhibited significantly higher SNR and CNR values in the ascending aorta, descending aorta, abdominal aorta, and common iliac artery compared to the standard group(P<0.05), with comparable subjective quality scores. The VUE images also demonstrated superior SNR values in the abdominal aorta, common iliac artery, and psoas major muscle, and CNR value in the ascending aorta compared to TUE images, with similar subjective quality. Importantly, the ED in the low-dose group was about 40% lower than that of the standard group. Conclusion Low-dose energy spectrum CT with DLIR in aortic CTA can significantly enhance SNR and CNR, while approximating the image quality of traditional TUE scans, thereby substantially reducing radiation exposure.

OBJECTIVE Exploring the specific changes in brain signal variability during healthy aging using functional near-infrared spectroscopy technology.METHODS Twenty-eight young adults and 30 elderly adults were included,and functional near-infrared spectroscopy was used to record the changes in brain blood oxygen and calculate the brain signal variability during the execution of visual-audio dual tasks.RESULTS The brain signal variability of the elderly group was significantly reduced when performing visual-audio dual tasks,especially in the bilateral dorsolateral prefrontal cortex,right Broca,bilateral primary somatosensory cortex,bilateral Wernicke area,bilateral frontopolar area,bilateral primary motor cortex,bilateral somatosensory association cortex,bilateral orbitofrontal area,bilateral pre-motor and supplementary motor cortex.The brain signal variability in the left primary somatosensory cortex(r=-0.385,P=0.043)and right primary somatosensory cortex(r=-0.386,P=0.042)of young adults was negatively correlated with visual reaction time;The brain signal variability in the right somatosensory association cortex(r=-0.371,P=0.044),left pre-motor and supplementary motor cortex(r=-0.393,P=0.032)of elderly adults was negatively correlated with visual reaction time.CONCLUSION Elderly individuals exhibit a significant reduction in neural signal variability within the prefrontal cortex and sensory related cortex,resulting in diminished neural dynamic adaptability that compromises behavioral performance during visual-audio dual tasks.

OBJECTIVE Aimed to construct a corpus for a developing auditory-verbal communication training system tailored for the elderly and to grade the difficulty of sentence materials.The ultimate goal is to meet the diverse needs of trainees with varying hearing and speech capabilities.METHODS A training corpus,encompassing 3 627 sentences across 12 distinct topics,was systematically established.During the pre-experimental phase,12 adult subjects with normal hearing were recruited.They were tasked with conducting speech recognition rate tests on 100 randomly selected test sentences under four different signal-to-noise ratio(SNR)conditions.By plotting the performance-intensity(P-I)function curve,the SNR50 value,specifically-6.5 dB,was accurately determined.In the formal experiment,17 additional subjects were recruited.All sentences within the corpus were then subjected to speech recognition rate tests in a noisy environment under the established SNR50 condition.The average recognition rate was computed,and both the recognition rate-frequency histogram and the normal distribution curve were plotted.Leveraging the area beneath the normal curve,the segmentation points of the speech recognition rate were calculated,enabling the classification of sentences into three difficulty levels:easy,medium,and difficult.RESULTS The task of classifying the difficulty of sentences within the corpus was successfully accomplished.Specifically,there were 1 144 easy sentences,constituting 33%of the total;1 099 medium sentences,accounting for 32%;and 1 212 difficult sentences,representing 35%.CONCLUSION This research has successfully concluded the establishment of a corpus for the elderly's auditory-verbal communication ability training system and its associated difficulty grading.The obtained grading results are found to be in accordance with the principle of partitioning the difficulty gradient based on area.This study explores an effective method for grading the difficulty of auditory training sentences,ensuring that the training content matches the level of the trainer's competence.This not only enhances the training effectiveness but also improves the overall user experience.

Objective To explore the relationship between systemic immune-inflammation index(SII),red blood cell distribution width(RDW),25-hydroxy-vitamin-D[25(OH)D]levels and frailty index in elderly pa-tients with type 2 diabetes mellitus(T2DM).Methods A total of 197 elderly patients with T2DM admitted to the hospital from March 2023 to March 2024 were collected as the research subjects.The patients were divided into the frailty group(106 cases)and the non-frailty group(91 cases)according to the scores of the clinical frailty scale.The clinical data and the levels of SII,RDW and 25(OH)D of the two groups were compared.Pearson correlation analysis was used to analyze the correlations between the levels of SII,RDW and 25(OH)D and the frailty index of elderly patients with T2DM.Logistic regression was used to analyze the influencing factors of frailty in elderly patients with T2DM.Results Compared with the non-frailty group,the proportion of women,the history of falls within 1 year,and the age of the frailty group increased,while the body mass in-dex and the proportion of men decreased,and the differences were statistically significant(P＜0.05).The SII and RDW levels in the non-frailty group were lower than those in the frailty group,and the 25(OH)D level was higher than that in the frailty group,and the differences were statistically significant(P＜0.05).Pearson correlation analysis showed that SII and RDW levels were positively correlated with frailty index,and 25(OH)D level was negatively correlated with frailty index in elderly T2DM patients(P＜0.05).Logistic regression analysis showed that female,age ≥ 74.25 years old,SII≥ 938.36,RDW≥ 15.19％,and 25(OH)D≥48.42 nmol/L were independent risk factors for frailty in elderly T2DM patients(P＜0.05).Conclusion The levels of SII,RDW and 25(OH)D in elderly patients with T2DM are related to the frailty index.

Objective·To explore the relationship between abdominal fat area and the first-phase insulin secretion function of pancreatic β-cells in patients with type 2 diabetes,and to establish predictive models of nomogram.Methods·From October 2020 to February 2024,a total of 120 patients with type 2 diabetes,who were hospitalized in the Department of Endocrinology,Zhongshan Hospital,Fudan University,and underwent the arginine stimulation test,were recruited for the study.Patients were categorized into an insulin secretion function-preserved group(i.e.preserved group)and a depleted group according to the results of the arginine stimulation test.General information and laboratory parameters were collected.Subcutaneous fat area(SFA)and visceral fat area(VFA)were non-invasively measured by abdominal fat detector.The variables were screened by univariate analysis,and multivariate Logistic regression was used to identify the influencing factors,followed by the establishment of predictive models of nomogram.The area under the receiver operating characteristic curve(ROC curve)and concordance index(C-index)were used to evaluate the predictive performance of the models.Results·Seventy-four patients(61.7%)were assigned to the preserved group,and 46 patients(38.3%)to the depleted group.Patients in the depleted group had a longer diabetes duration,lower waist circumference,hip circumference,body mass index(BMI),uric acid,free triiodothyronine(FT3),adipose tissue insulin resistance(Adipo-IR),ankle brachial index(ABI),SFA and VFA,and higher brachial ankle pulse wave velocity(baPWV).Multivariate Logistic regression showed that SFA,VFA,FT3,baPWV,and ABI were independent risk factors for the depleted insulin secretion function.Nomogram models were constructed based on the above risk factors.Among them,the model comprising VFA,FT3,ABI,and baPWV showed the best predictive performance with a C-index of 0.81.Conclusion·SFA and VFA are lower in patients with depleted first-phase insulin secretion function of pancreatic β-cells.The nomogram model,including SFA or VFA,can be used to predict first-phase insulin secretion function of pancreatic β-cells in patients with type 2 diabetes.

Bronchial asthma is a common chronic heterogeneous airway disease that is pathologically characterized by airway hyperresponsiveness and chronic inflammation.The pathogenesis of this disease is complex.Essentially,it is an airway inflammatory response driven by abnormal activation of the immune system.Its occurrence and development involve the participation of various immune cells and immune factors,including B lymphocytes,T lymphocytes,mast cells,macrophages and dendritic cells,as well as key cytokines such as interleukin(IL)-4,IL-5,IL-13,and interferon(IFN)-γ.And key cytokines such as interleukin(IL)-4,IL-5,IL-13 and interferon-γ.The complex interactions between these immune cells and mediators cause a series of pathological changes such as increased airway mucus secretion,smooth muscle contraction and airway remodeling,ultimately leading to the appearance of clinical symptoms,such as chest tightness,shortness of breath,wheezing and coughing.This article conducts systematically reviews current understanding of the immunological pathogenesis of bronchial asthma,thereby providing theoretical references for drug development and clinical diagnosis and treatment.

Through a comprehensive analysis of four cases involving repeated forensic clinical identification on the degree of human injury,disability grade,causal relationship of injury and disease,medical damage liability dispute,the reasons for the emergence of different appraisal opinions are explored.According to the reasons for the disputed conclusion,the deviation or error of the appraisal opinion can be classified in a variety of ways.Among them,the inherent limitations of theories and methods used as appraisal bases,the lack of operational skills or cognitive ability of appraisers,the unclear provisions of appraisal standards and the lack of adequacy and validity in the process of analysis and reasoning are the key reasons for the deviation or error of appraisal opinions.In light of these findings,it is necessary to strengthen the review of expert opinions in judicial practice and form a powerful error correction mechanism.