Objective:This study focuses on the use of narrative medical records in palliative care teams and analyzes text from cases.The goal is to establish a foundation for standardizing and structuring narrative content, providing guidance for incorporating future narratives into medical record writing.Methods:Three cases of narrative medical records from the palliative care team at Peking Union Medical College Hospital were chosen for text analysis to demonstrate the clinical significance of narrative medical records within palliative care teams.These records included medical consultation records, social work service records, and disease progress records, authored by nurses, social workers, and doctors, respectively.Results:Our study discovered that narrative medical records demonstrate traits such as structured writing, cooperative writing, and comprehensive documentation.Furthermore, the narrative information contained in these records can be efficiently organized and condensed.Conclusions:By examining the cases and utilization of narrative medical records in the healthcare community, we emphasize the potential benefits of incorporating narrative elements into existing medical documentation.These results offer valuable insights for enhancing medical education in the future.

Objective:To investigate the clinical features and prognosis of testicular relapse in pediatric acute lymphoblastic leukemia (ALL).Methods:Clinical data including the age, time from initial diagnosis to recurrence, relapse site, and therapeutic effect of 37 pediatric ALL with testicular relapse and treated in Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences between November 2011 and December 2022 were analyzed retrospectively. Patients were grouped according to different clinical data. Kaplan-Meier analysis was used to evaluate the overall survival (OS) rate and event free survival (EFS) rate for univariate analysis, and Cox proportional-hazards regression model was used to evaluate the influencing factors of OS rate and EFS rate for multivariate analysis.Results:The age at initial diagnosis of 37 pediatric testicular relapse patients was (5±3) years and the time from initial diagnosis to testicular recurrence was (37±15) months. The follow-up time was 43 (22, 56) months. Twenty-three patients (62%) were isolated testis relapse. The 5-year OS rate and EFS rate of the 37 relapsed children were (60±9) % and (50±9) % respectively. Univariate analysis showed that the 2-year EFS rate in the group of patients with time from initial diagnosis to testicular recurrence >28 months was significantly higher than those ≤28 months ((69±10)% vs. (11±11)%, P<0.05), 2-year EFS rate of the isolated testicular relapse group was significantly higher than combined relapse group ((66±11)% vs. (20±13) %, P<0.05), 2-year EFS rate of chimeric antigen receptor T (CAR-T) cell treatment after relapse group was significantly higher than without CAR-T cell treatment after relapse group ((78±10)% vs. (15±10)%, P<0.05). ETV6-RUNX1 was the most common genetic aberration in testicular relapsed ALL (38%, 14/37). The 4-year OS and EFS rate of patients with ETV6-RUNX1 positive were (80±13) % and (64±15) %, respectively. Multivariate analysis identified relapse occurred≤28 months after first diagnosis ( HR=3.09, 95% CI 1.10-8.72), combined relapse ( HR=4.26, 95% CI 1.34-13.52) and CAR-T cell therapy after relapse ( HR=0.15,95% CI 0.05-0.51) were independent prognostic factors for 2-year EFS rate (all P<0.05). Conclusions:The outcome of testicular relapse in pediatric ALL was poor. They mainly occurred 3 years after initial diagnosis. ETV6-RUNX1 is the most common abnormal gene.Patients with ETV6-RUNX1 positive often have a favorable outcome. Early relapse and combined relapse indicate unfavorable prognosis, while CAR-T cell therapy could significantly improve the survival rate of children with testicular recurrence.

Objective:To investigate the clinical characteristics and long-term prognostic factors of relapsed pediatric acute lymphoblastic leukemia (ALL).Methods:Clinical data including the age, time from initial diagnosis to relapse, relapse site, and molecular biological features of 217 relapsed ALL children primarily treated by the Chinese Children's Leukemia Group (CCLG)-ALL 2008 protocol in Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences between April 2008 and April 2015 were collected and analyzed in this retrospective cohort study. Kaplan-Meier analysis was used to evaluate the overall survival (OS) rate and event free survival (EFS) rate for univariate analysis, and Cox proportional-hazards regression model was used to evaluate the influencing factors of OS rate and EFS rate for multivariate analysis.Results:The age at initial diagnosis of 217 relapsed patients was 5 (3, 7) years. There were 135 males and 82 females. The time from initial diagnosis to relapse of 217 children was 22 (10, 39) months. After relapse, 136 out of 217 children (62.7%) received treatment and the follow-up time was 65 (47, 90) months. The 5-year OS rate and EFS rate of the 136 relapsed children were (37±4) % and (26±4) %, respectively. The predicted 10-year OS rate and EFS rate were (35±5) % and (20±4) %, respectively. Univariate analysis showed that the 5-year OS rate in the group of patients with late relapse (43 cases) was significantly higher than those with very early (54 cases) and early relapse (39 cases) ((72±7)% vs. (16±5)%, (28±8)%, χ2=35.91, P<0.05), 5-year OS rate of the isolated extramedullary relapse group (20 cases) was significantly higher than isolated bone marrow relapse group (102 cases) and combined relapse group (14 cases) ((69±11)% vs. (31±5)%, (29±12)%, χ2=9.14, P<0.05), 5-year OS rate of high-risk group (80 cases) was significantly lower than standard-risk group (10 cases) and intermediate-risk group (46 cases) ((20±5)% vs. (90±10)%, (54±8)%, χ2=32.88, P<0.05). ETV6::RUNX1 was the most common fusion gene (13.2%, 18/136). The predicted 10-year OS rate of relapsed children with positive ETV6::RUNX1 was significantly higher than those without ETV6::RUNX1 (118 cases) ((83±9)% vs. (26±5)%, χ2=14.04, P<0.05). The 5-year OS for those accepted hematopoietic stem cell transplantation (HSCT) after relapse (42 cases) was higher than those without HSCT (94 cases) ((56±8)% vs. (27±5)%, χ2=15.18, P<0.05). Multivariate analysis identified very early/early relapse ( HR=3.91, 95% CI 1.96-7.79; HR=4.15, 95% CI 1.99-8.67), bone marrow relapse including isolated bone marrow relapse and combined relapse ( HR=6.50, 95% CI 2.58-16.34; HR=5.19, 95% CI 1.78-15.16), with ETV6::RUNX1 ( HR=0.23, 95% CI 0.07-0.74) and HSCT after relapse ( HR=0.24, 95% CI 0.14-0.43) as independent prognostic factors for OS (all P<0.05). Conclusions:Relapsed pediatric ALL mainly occurs very early and often affects bone marrow, which confer poor outcome. ETV6::RUNX1 is the most common genetic aberration with a favorable outcome. HSCT could rescue the outcome of relapsed children, though the survival rate is still poor.

Background In the context of the innovation-driven development strategy, occupational groups are facing increasing work pressure, and its impact on sleep quality and mental health deserves attention. Objective To explore potential mediating role of sleep quality between work stress and mental health status among occupational workers, and to provide a scientific basis for improving their mental health status. Methods Cluster sampling was used to select 2000 workers in Urumqi, Xinjiang Uygur Autonomous Region. They were divided into mental and physical worker groups according to their occupational types, and a questionnaire survey was conducted using General Information Survey Forms, Effort Reward Imbalance scale (ERI), Pittsburgh Sleep Quality Index (PSQI), and Symptom Check List-90 (SCL-90). Work stress level, sleep quality, and mental health were assessed and compared between mental and physical workers. Structural equation modelling was used to evaluate the relationship among work stress, sleep quality and mental health of the workers, and to explore the mediating effect of sleep quality. Results A total of 1979 survey questionnaires were collected, with a response rate of 99%, including 1500 (75.8%) mental workers and 479 (24.2%) physical workers. Linear correlations were confirmed between work stress, mental health, and sleep quality. The correlations of work stress with mental health and sleep quality scale scores were positive for both mental and physical workers (r=0.32, 0.31, P<0.01; r=0.25, 0.25, P<0.01), and sleep quality was also positively correlated with mental health (r=0.47, 0.56, P<0.01) . The final modified structural equation model showed that the coefficients of work stress on sleep quality for the mental and physical workers were 0.56 and 0.46 (P<0.001) respectively, and the coefficients of sleep quality on mental health were 0.52 and 0.80 (P<0.001) respectively. Sleep quality mediated the impact of work stress on mental health of the mental and physical workers, with mediating effect values of 0.29 and 0.37 respectively. The adaptability of both structural equation models is less than 3. Conclusion Occupational population's work stress and mental health may be mediated by sleep quality, and measures should be taken to reduce work stress and improve sleep quality and mental health.

Objective:To guide cost control and the development of orthopedic specialty services in actual payment by thoroughly analyzing the functioning of DRG simulation in the pediatric orthopedic department of the Capital Institute of Pediatrics.Methods:A total of 736 patients from the orthopedic ward of the Capital Institute of Pediatrics were included as study subjects.The four-quadrant grouping method was employed to examine the profitability status of each diagnosis group in detail.A logistic regression model explored the key factors influencing profitability.Results:Congenital illnesses and traumas account for most pediatric orthopedic cases.Benefit groups(2 groups,4.8％),disadvantageous groups(15 groups,35.7％),key groups(8 groups,19.0％),and potential groups(17 groups,40.5％)are found using the Boston Matrix analysis.The profit group depends on the benefit groups(IF19,IH15)for 67.7％of its total revenue.No matter how profitable they are,medical consumables comprise a sizable portion(43％-45％).According to regression analysis,hospital profitability is highly impacted by age,consumable ratio,examination cost ratio,surgery cost ratio,and other cost ratios(P＜0.05).The consumable ratio is the most significant negative predictor(β=-2.238).Conclusion:Hospitals need to optimize their cost structure and increase the probability of profitability through refined management of consumables,the four-quadrant analysis method,strengthened cost accounting,and differentiated resource allocation.

Objective:To guide cost control and the development of orthopedic specialty services in actual payment by thoroughly analyzing the functioning of DRG simulation in the pediatric orthopedic department of the Capital Institute of Pediatrics.Methods:A total of 736 patients from the orthopedic ward of the Capital Institute of Pediatrics were included as study subjects.The four-quadrant grouping method was employed to examine the profitability status of each diagnosis group in detail.A logistic regression model explored the key factors influencing profitability.Results:Congenital illnesses and traumas account for most pediatric orthopedic cases.Benefit groups(2 groups,4.8％),disadvantageous groups(15 groups,35.7％),key groups(8 groups,19.0％),and potential groups(17 groups,40.5％)are found using the Boston Matrix analysis.The profit group depends on the benefit groups(IF19,IH15)for 67.7％of its total revenue.No matter how profitable they are,medical consumables comprise a sizable portion(43％-45％).According to regression analysis,hospital profitability is highly impacted by age,consumable ratio,examination cost ratio,surgery cost ratio,and other cost ratios(P＜0.05).The consumable ratio is the most significant negative predictor(β=-2.238).Conclusion:Hospitals need to optimize their cost structure and increase the probability of profitability through refined management of consumables,the four-quadrant analysis method,strengthened cost accounting,and differentiated resource allocation.

Objective:To guide cost control and the development of orthopedic specialty services in actual payment by thoroughly analyzing the functioning of DRG simulation in the pediatric orthopedic department of the Capital Institute of Pediatrics.Methods:A total of 736 patients from the orthopedic ward of the Capital Institute of Pediatrics were included as study subjects.The four-quadrant grouping method was employed to examine the profitability status of each diagnosis group in detail.A logistic regression model explored the key factors influencing profitability.Results:Congenital illnesses and traumas account for most pediatric orthopedic cases.Benefit groups(2 groups,4.8％),disadvantageous groups(15 groups,35.7％),key groups(8 groups,19.0％),and potential groups(17 groups,40.5％)are found using the Boston Matrix analysis.The profit group depends on the benefit groups(IF19,IH15)for 67.7％of its total revenue.No matter how profitable they are,medical consumables comprise a sizable portion(43％-45％).According to regression analysis,hospital profitability is highly impacted by age,consumable ratio,examination cost ratio,surgery cost ratio,and other cost ratios(P＜0.05).The consumable ratio is the most significant negative predictor(β=-2.238).Conclusion:Hospitals need to optimize their cost structure and increase the probability of profitability through refined management of consumables,the four-quadrant analysis method,strengthened cost accounting,and differentiated resource allocation.

Objective:To guide cost control and the development of orthopedic specialty services in actual payment by thoroughly analyzing the functioning of DRG simulation in the pediatric orthopedic department of the Capital Institute of Pediatrics.Methods:A total of 736 patients from the orthopedic ward of the Capital Institute of Pediatrics were included as study subjects.The four-quadrant grouping method was employed to examine the profitability status of each diagnosis group in detail.A logistic regression model explored the key factors influencing profitability.Results:Congenital illnesses and traumas account for most pediatric orthopedic cases.Benefit groups(2 groups,4.8％),disadvantageous groups(15 groups,35.7％),key groups(8 groups,19.0％),and potential groups(17 groups,40.5％)are found using the Boston Matrix analysis.The profit group depends on the benefit groups(IF19,IH15)for 67.7％of its total revenue.No matter how profitable they are,medical consumables comprise a sizable portion(43％-45％).According to regression analysis,hospital profitability is highly impacted by age,consumable ratio,examination cost ratio,surgery cost ratio,and other cost ratios(P＜0.05).The consumable ratio is the most significant negative predictor(β=-2.238).Conclusion:Hospitals need to optimize their cost structure and increase the probability of profitability through refined management of consumables,the four-quadrant analysis method,strengthened cost accounting,and differentiated resource allocation.

Objective:To guide cost control and the development of orthopedic specialty services in actual payment by thoroughly analyzing the functioning of DRG simulation in the pediatric orthopedic department of the Capital Institute of Pediatrics.Methods:A total of 736 patients from the orthopedic ward of the Capital Institute of Pediatrics were included as study subjects.The four-quadrant grouping method was employed to examine the profitability status of each diagnosis group in detail.A logistic regression model explored the key factors influencing profitability.Results:Congenital illnesses and traumas account for most pediatric orthopedic cases.Benefit groups(2 groups,4.8％),disadvantageous groups(15 groups,35.7％),key groups(8 groups,19.0％),and potential groups(17 groups,40.5％)are found using the Boston Matrix analysis.The profit group depends on the benefit groups(IF19,IH15)for 67.7％of its total revenue.No matter how profitable they are,medical consumables comprise a sizable portion(43％-45％).According to regression analysis,hospital profitability is highly impacted by age,consumable ratio,examination cost ratio,surgery cost ratio,and other cost ratios(P＜0.05).The consumable ratio is the most significant negative predictor(β=-2.238).Conclusion:Hospitals need to optimize their cost structure and increase the probability of profitability through refined management of consumables,the four-quadrant analysis method,strengthened cost accounting,and differentiated resource allocation.

Objective:To guide cost control and the development of orthopedic specialty services in actual payment by thoroughly analyzing the functioning of DRG simulation in the pediatric orthopedic department of the Capital Institute of Pediatrics.Methods:A total of 736 patients from the orthopedic ward of the Capital Institute of Pediatrics were included as study subjects.The four-quadrant grouping method was employed to examine the profitability status of each diagnosis group in detail.A logistic regression model explored the key factors influencing profitability.Results:Congenital illnesses and traumas account for most pediatric orthopedic cases.Benefit groups(2 groups,4.8％),disadvantageous groups(15 groups,35.7％),key groups(8 groups,19.0％),and potential groups(17 groups,40.5％)are found using the Boston Matrix analysis.The profit group depends on the benefit groups(IF19,IH15)for 67.7％of its total revenue.No matter how profitable they are,medical consumables comprise a sizable portion(43％-45％).According to regression analysis,hospital profitability is highly impacted by age,consumable ratio,examination cost ratio,surgery cost ratio,and other cost ratios(P＜0.05).The consumable ratio is the most significant negative predictor(β=-2.238).Conclusion:Hospitals need to optimize their cost structure and increase the probability of profitability through refined management of consumables,the four-quadrant analysis method,strengthened cost accounting,and differentiated resource allocation.