OBJECTIVE: To analyze the clinical characteristics, treatment, and prognosis of seven pediatric patients with Acute myeloid leukemia (AML) positive for the t(16;21)(p11;q22) FUS::ERG fusion gene. METHODS: A retrospective analysis was carried out on the clinical data, treatment, and prognosis of seven AML patients with t(16;21)(p11;q22) FUS::ERG fusion gene admitted to Henan Children's Hospital between June 2015 and November 2024. Relevant literature was also reviewed. This study was approved by the Medical Ethics Committee of the Hospital (Ethics No.: 2024-102-001). RESULTS: Among 297 pediatric patients with AML, 7 cases (2.36%) were positive for the t(16;21)(p11;q22) FUS::ERG fusion gene, including 3 males and 4 females, with a median age of 11 years (range: 3 ~ 12 years). According to the FAB classification, these included 1 case of M2, 3 cases of M5, and 3 cases of AML-not otherwise specified (non-M3). All 7 patients were found to harbor the t(16;21)(p11;q22) translocation, with 3 cases showing additional chromosomal abnormalities. Immunophenotyping revealed universal expression of CD13, CD33, CD34, and CD117, with partial expression of CD56, CD4, CD64, CD123, CD15, CD38, CD11b, HLA-DR, cMPO, and CD16. One patient achieved complete remission (CR) after the first course of DAE (cytarabine + daunorubicin + etoposide) induction chemotherapy but relapsed and discontinued the treatment. Six patients received DAH (cytarabine + daunorubicin + homoharringtonine) induction therapy, of whom 2 achieved CR after two courses and underwent allogeneic hematopoietic stem cell transplantation (allo-HSCT), resulting in an overall CR rate of 42.86%. Five children did not receive allo-HSCT and had a median overall survival of 9 months (range: 6 ~ 18 months). Two children who underwent transplantation achieved bone marrow morphological and molecular biological relapse at 6 and 9 months post-transplantation, respectively. After receiving combined chemotherapy and donor lymphocyte infusion, one child failed to achieve remission and died at 22 months post-transplantation, while the other has been followed up to date with positive fusion gene status. Their overall survival was 25 months and 30 months, respectively. CONCLUSION The t(16;21)(p11;q22) FUS::ERG fusion gene is rare in pediatric AML and associated with poor prognosis. Allo-HSCT may mitigate the adverse prognostic impact of the FUS::ERG fusion gene and contribute to prolonged survival.
Humans ; Male ; Child ; Female ; Leukemia, Myeloid, Acute/drug therapy* ; Oncogene Proteins, Fusion/genetics* ; Translocation, Genetic ; Retrospective Studies ; RNA-Binding Protein FUS/genetics* ; Chromosomes, Human, Pair 16/genetics* ; Adolescent ; Child, Preschool ; Chromosomes, Human, Pair 21/genetics* ; Prognosis ; Treatment Outcome

The "integrated time-space" perspective of life in traditional Chinese medicine holds that structure and function respectively belong to the realms of space and time. The orderly integration of time and space not only supports the existence and development of life， but also serves as the foundation for biological evolution. Based on this standpoint， this paper proposes the spatiotemporal structural theory of visceral manifestation， characterized by the fusion of time and space， the integration of internal and external dimensions， and the absence of primary or secondary distinctions. Using the individual human body as the boundary， it delineates the man and nature spatiotemporal structure， based on the theory of the "correspondence between man and nature"， and the internal spatiotemporal structure of the living body. The man and nature spatiotemporal structure， with yin-yang and the five phases as its core， reveals the correspondence and connectivity between the external environment and the internal zang-fu organs within the spatiotemporal dimension. The internal temporal structure of the body refers to the collective physiological rhythms related to the zang-fu organs， while the spatial structure refers to the tangible forms， spatial positions， and connective structures of the zang-fu organs. The proposal of the spatiotemporal structural theory of visceral manifestation represents a rational reconstruction and practical exploration of the essential connotations of visceral manifestation， aiming to provide new perspectives for subsequent theoretical research and clinical applications.

Objective:To explore the risk factors of pneumoconiosis complicated with pulmonary tuberculosis, to construct a clinical prediction model for patients with pneumoconiosis complicated with pulmonary tuberculosis, and to provide a scientific basis for the prevention of pneumoconiosis complicated with pulmonary tuberculosis.Methods:In January 2024, a total of 232 patients with pneumoconiosis (including coal workers' pneumoconiosis and silicosis) who were treated in the Department of Respiratory and Critical Care Medicine of the Third People's Hospital of Xinjiang Uygur Autonomous Region (Xinjiang Uygur Autonomous Region Occupational Disease Hospital) from January 2022 to January 2023 were randomly selected as the study subjects. Collectted basic patient information and diagnostic data. Multivariate logistic regression analysis was used to screen the risk factors related to pneumoconiosis complicated with pulmonary tuberculosis. According to the results of multivariate logistic regression analysis, a nomogram was established, and the area under the receiver operating characteristic (ROC) curve (AUC), calibration curve and decision curve analysis (DCA) were used to evaluate the predictive ability.Results:Among the 232 patients with pneumoconiosis, 73 were complicated with pulmonary tuberculosis, accounting for 31.47% (73/232). Multivariate logistic regression analysis determined that dust exposure time, type of work, smoking history, and lung function level were all risk factors for pneumoconiosis complicated with tuberculosis ( OR=10.33, 95% CI=1.92~55.66, OR=5.43, 95% CI=1.91~15.44, OR=3.10, 95% CI=1.15~8.37, OR=4.00, 95% CI=1.62~9.87; P<0.05). The constructed nomogram model has good clinical applicability when the area under the receiver operating characteristic (ROC) curve is 0.77 [95% CI (0.69, 0.73) ], the calibration curve is close to the ideal diagonal, the absolute error between the simulation curve and the actual curve is 0.03, and the DCA decision curve shows that the probability threshold of the nomogram model is 1%-90%. Conclusion:The risk of pneumoconiosis complicated with tuberculosis is high, and the risk factors of dust exposure time, smoking history, type of work and lung function level are high. This nomogram model can be used to predict the risk of pulmonary tuberculosis in patients with pneumoconiosis, which is helpful for early intervention.

Objective:To explore the method for selecting characteristic prices of Chinese patent medicines based on informa-tion entropy theory.It involves analyzing the connotative differences among various price indicators and utilizing information entropy metrics to validate the scientific rigor of characteristic price selection so as to optimize the pricing model for Chinese patent medi-cines and improve the accuracy of price evaluation.Methods:A correlation analysis and information entropy calculation are con-ducted on the median price of the smallest preparation unit,average daily cost,and average course cost of TCM.It compares the information diversity and uncertainty of different pricing indicators.Results:The average daily cost exhibits the highest information diversity and uncertainty among all the pricing indicators examined.Conclusion:It is recommended that the average daily cost be used as the dependent variable for characteristic prices in TCM pricing research.This choice plays an important role in optimizing TCM pricing models and enhancing the accuracy of price evaluation.

Objective:To establish a scientific,systematic,and objective indicator system for the characteristic price variables of Traditional Chinese Patent Medicines(TCPM),providing a reference framework for the pricing mechanism of TCPM.Methods:The brainstorming method was initially used to screen related variable indicators.The Nominal Group Technique(NGT)and Delphi methods were applied to gather expert opinions,and SPSS 28.0 was employed for data statistical analysis.It led to the development of a TCPM characteristic price variable indicator system consisting of 6 dimensions,14 characteristic variables and 26 measurement indicators.Results:The authority coefficient of the experts exceeded 0.7,indicating the representativeness of the results.Expert opinions were generally concentrated.Based on the collected opinions and statistical analysis,the scope of selected TCPM characteristic price variables was preliminarily established.Conclusion:The TCPM characteristic price variable indicator system was initially developed.However,due to the complexity of the pricing mechanism and divergent expert opinions,further qualitative and quantitative research methods,along with a dynamic adjustment mechanism,are needed to verify and refine the system.

The National Essential Medicines System could protect public health and ensure access to essential medications.Although the current selection methods for China's National Essential Medicines Lists(NEMLs)are becoming more scientific and standardized,there are still problems such as much emphasis on expert experience and the lack of transparency of decision-making basis.To address these issues,it proposes an evidence-based decision-making pathway for NEMLs selection guided by clinical value.This approach ensures a strong integration of evidence and decision-making,offering valuable insights for improving the adjustment procedures and selection criteria of the NEMLs in China.

Objective:To explore the method for selecting characteristic prices of Chinese patent medicines based on informa-tion entropy theory.It involves analyzing the connotative differences among various price indicators and utilizing information entropy metrics to validate the scientific rigor of characteristic price selection so as to optimize the pricing model for Chinese patent medi-cines and improve the accuracy of price evaluation.Methods:A correlation analysis and information entropy calculation are con-ducted on the median price of the smallest preparation unit,average daily cost,and average course cost of TCM.It compares the information diversity and uncertainty of different pricing indicators.Results:The average daily cost exhibits the highest information diversity and uncertainty among all the pricing indicators examined.Conclusion:It is recommended that the average daily cost be used as the dependent variable for characteristic prices in TCM pricing research.This choice plays an important role in optimizing TCM pricing models and enhancing the accuracy of price evaluation.

Objective:To establish a scientific,systematic,and objective indicator system for the characteristic price variables of Traditional Chinese Patent Medicines(TCPM),providing a reference framework for the pricing mechanism of TCPM.Methods:The brainstorming method was initially used to screen related variable indicators.The Nominal Group Technique(NGT)and Delphi methods were applied to gather expert opinions,and SPSS 28.0 was employed for data statistical analysis.It led to the development of a TCPM characteristic price variable indicator system consisting of 6 dimensions,14 characteristic variables and 26 measurement indicators.Results:The authority coefficient of the experts exceeded 0.7,indicating the representativeness of the results.Expert opinions were generally concentrated.Based on the collected opinions and statistical analysis,the scope of selected TCPM characteristic price variables was preliminarily established.Conclusion:The TCPM characteristic price variable indicator system was initially developed.However,due to the complexity of the pricing mechanism and divergent expert opinions,further qualitative and quantitative research methods,along with a dynamic adjustment mechanism,are needed to verify and refine the system.

The National Essential Medicines System could protect public health and ensure access to essential medications.Although the current selection methods for China's National Essential Medicines Lists(NEMLs)are becoming more scientific and standardized,there are still problems such as much emphasis on expert experience and the lack of transparency of decision-making basis.To address these issues,it proposes an evidence-based decision-making pathway for NEMLs selection guided by clinical value.This approach ensures a strong integration of evidence and decision-making,offering valuable insights for improving the adjustment procedures and selection criteria of the NEMLs in China.

Objective:To explore the risk factors of pneumoconiosis complicated with pulmonary tuberculosis, to construct a clinical prediction model for patients with pneumoconiosis complicated with pulmonary tuberculosis, and to provide a scientific basis for the prevention of pneumoconiosis complicated with pulmonary tuberculosis.Methods:In January 2024, a total of 232 patients with pneumoconiosis (including coal workers' pneumoconiosis and silicosis) who were treated in the Department of Respiratory and Critical Care Medicine of the Third People's Hospital of Xinjiang Uygur Autonomous Region (Xinjiang Uygur Autonomous Region Occupational Disease Hospital) from January 2022 to January 2023 were randomly selected as the study subjects. Collectted basic patient information and diagnostic data. Multivariate logistic regression analysis was used to screen the risk factors related to pneumoconiosis complicated with pulmonary tuberculosis. According to the results of multivariate logistic regression analysis, a nomogram was established, and the area under the receiver operating characteristic (ROC) curve (AUC), calibration curve and decision curve analysis (DCA) were used to evaluate the predictive ability.Results:Among the 232 patients with pneumoconiosis, 73 were complicated with pulmonary tuberculosis, accounting for 31.47% (73/232). Multivariate logistic regression analysis determined that dust exposure time, type of work, smoking history, and lung function level were all risk factors for pneumoconiosis complicated with tuberculosis ( OR=10.33, 95% CI=1.92~55.66, OR=5.43, 95% CI=1.91~15.44, OR=3.10, 95% CI=1.15~8.37, OR=4.00, 95% CI=1.62~9.87; P<0.05). The constructed nomogram model has good clinical applicability when the area under the receiver operating characteristic (ROC) curve is 0.77 [95% CI (0.69, 0.73) ], the calibration curve is close to the ideal diagonal, the absolute error between the simulation curve and the actual curve is 0.03, and the DCA decision curve shows that the probability threshold of the nomogram model is 1%-90%. Conclusion:The risk of pneumoconiosis complicated with tuberculosis is high, and the risk factors of dust exposure time, smoking history, type of work and lung function level are high. This nomogram model can be used to predict the risk of pulmonary tuberculosis in patients with pneumoconiosis, which is helpful for early intervention.