OBJECTIVE: To investigate the short-term efficacy and safety of low-dose venetoclax combined with CHG (cytarabine+homoharringtonine+G-CSF) priming regimen in patients with acute myeloid leukemia (AML) and high-risk myelodysplastic syndrome (MDS) ineligible for intensive chemotherapy. METHODS: The data of 14 patients with AML or high-risk MDS admitted to the department of hematology/oncology of the First Hospital of Tsinghua University and 2 cooperative institutions from July 2022 to August 2023 were retrospectively analyzed. All the patients were treated with low-dose venetoclax combined with CHG priming regimen and the early induction (one course) efficacy and adverse reactions were observed. RESULTS: Among the 14 patients, 10 were males and 4 were females, with a median age of 69.5 (46-83) years. After 1 cycle of induction chemotherapy, the complete remission (CR) rate was 64.3% (9/14) and overall response rate (ORR) was 78.6% (11/14). Among the 10 patients with adverse prognosis according to cytogenetics and molecular genetics, the CR rate was 50.0% (5/10), and ORR was 70.0% (7/10). In 7 patients with TP53 mutation, the CR rate was 42.9% (3/7) and ORR was 71.4% (5/7). In the 6 patients with complex karyotype, CR rate was 33.3% (2/6) and ORR was 66.7% (4/6). While the CR rate and ORR of 8 non-complex karyotype patients were both 87.5% (7/8), and the difference in CR rate between patients with complex karyotype and non-complex karyotype was statistically significant ( P < 0.05). The adverse reactions of chemotherapy were tolerable, without early treatment-related deaths. CONCLUSION Low-dose venetoclax combined with CHG priming regimen can be used as an effective treatment for AML and high-risk MDS patients who are ineligible for intensive chemotherapy, and it is safe and worthy of clinical application.
Humans ; Leukemia, Myeloid, Acute/drug therapy* ; Aged ; Male ; Female ; Sulfonamides/therapeutic use* ; Middle Aged ; Myelodysplastic Syndromes/drug therapy* ; Bridged Bicyclo Compounds, Heterocyclic/therapeutic use* ; Aged, 80 and over ; Retrospective Studies ; Cytarabine/administration & dosage* ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use* ; Homoharringtonine/therapeutic use*

OBJECTIVE: This study aimed to explore the association between body mass index (BMI) and mortality based on the 10-year population-based multicenter prospective study. METHODS: A general population-based multicenter prospective study was conducted at four sites in rural China between 2013 and 2023. Multivariate Cox proportional hazards models and restricted cubic spline analyses were used to assess the association between BMI and mortality. Stratified analyses were performed based on the individual characteristics of the participants. RESULTS: Overall, 19,107 participants with a sum of 163,095 person-years were included and 1,910 participants died. The underweight (< 18.5 kg/m ²) presented an increase in all-cause mortality (adjusted hazards ratio [ aHR] = 2.00, 95% confidence interval [ CI]: 1.66-2.41), while overweight (≥ 24.0 to < 28.0 kg/m ²) and obesity (≥ 28.0 kg/m ²) presented a decrease with an aHR of 0.61 (95% CI: 0.52-0.73) and 0.51 (95% CI: 0.37-0.70), respectively. Overweight ( aHR = 0.76, 95% CI: 0.67-0.86) and mild obesity ( aHR = 0.72, 95% CI: 0.59-0.87) had a positive impact on mortality in people older than 60 years. All-cause mortality decreased rapidly until reaching a BMI of 25.7 kg/m ² ( aHR = 0.95, 95% CI: 0.92-0.98) and increased slightly above that value, indicating a U-shaped association. The beneficial impact of being overweight on mortality was robust in most subgroups and sensitivity analyses. CONCLUSION This study provides additional evidence that overweight and mild obesity may be inversely related to the risk of death in individuals older than 60 years. Therefore, it is essential to consider age differences when formulating health and weight management strategies.
Humans ; Body Mass Index ; China/epidemiology* ; Male ; Female ; Middle Aged ; Prospective Studies ; Rural Population/statistics & numerical data* ; Aged ; Follow-Up Studies ; Adult ; Mortality ; Cause of Death ; Obesity/mortality* ; Overweight/mortality*

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:To investigate the effect of medical community homogenization management(MCHM)on self-care ability,heart function,vascular endothelial function and quality of life in patients with chronic heart failure(CHF).Methods:This randomized controlled study enrolled 110 CHF patients admitted in Panzhihua Central Hos-pital between April 2021 and April 2023.They were divided into intervention group(n=55)and routine group(n=55).The control group received routine management,while intervention group received additional MCHM,both groups were intervened for 3 months.Self-care ability,heart function,vascular endothelial function,quality of life and incidence of adverse events were compared between two groups.Results:Compared with patients in control group,those in intervention group had significant higher total score of self-care of heart failure index(SCHFI)[(82.30±2.98)points vs.(59.46±3.19)points],stroke volume(SV)[(73.30±2.31)ml vs.(54.66±1.96)ml],left ventricular ejection fraction(LVEF)[(58.25±2.90)％ vs.(52.41±2.52)％],early diastolic peak flow velocity/late diastolic peak flow velocity(E/A)[(1.95±0.18)vs.(1.30±0.16)]and the level of nitric oxide(NO)[(106.70±4.44)μmol/L vs.(82.36±4.66)μmol/L](P＜0.001 all),and significant lower left ventricular end-diastolic diameter(LVEDd)[(49.79±1.58)mm vs.(56.49±2.17)mm],endothelin-1(ET-1)[(36.66±2.65)ng/L vs.(46.88±2.66)ng/L],Minnesota living with heart failure questionnaire(MLHFQ)total score[(36.12±3.23)points vs.(54.67±3.35)points](P＜0.001 all).Patients in intervention group had significant lower incidence of adverse events comparing to those in control group(7.27％ vs.25.45％,P=0.010).Conclu-sion:Medical community homogenization management could significantly improve self-care ability,heart func-tion,vascular endothelial function and quality of life with good safety in CHF patients.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:To investigate the effect of medical community homogenization management(MCHM)on self-care ability,heart function,vascular endothelial function and quality of life in patients with chronic heart failure(CHF).Methods:This randomized controlled study enrolled 110 CHF patients admitted in Panzhihua Central Hos-pital between April 2021 and April 2023.They were divided into intervention group(n=55)and routine group(n=55).The control group received routine management,while intervention group received additional MCHM,both groups were intervened for 3 months.Self-care ability,heart function,vascular endothelial function,quality of life and incidence of adverse events were compared between two groups.Results:Compared with patients in control group,those in intervention group had significant higher total score of self-care of heart failure index(SCHFI)[(82.30±2.98)points vs.(59.46±3.19)points],stroke volume(SV)[(73.30±2.31)ml vs.(54.66±1.96)ml],left ventricular ejection fraction(LVEF)[(58.25±2.90)％ vs.(52.41±2.52)％],early diastolic peak flow velocity/late diastolic peak flow velocity(E/A)[(1.95±0.18)vs.(1.30±0.16)]and the level of nitric oxide(NO)[(106.70±4.44)μmol/L vs.(82.36±4.66)μmol/L](P＜0.001 all),and significant lower left ventricular end-diastolic diameter(LVEDd)[(49.79±1.58)mm vs.(56.49±2.17)mm],endothelin-1(ET-1)[(36.66±2.65)ng/L vs.(46.88±2.66)ng/L],Minnesota living with heart failure questionnaire(MLHFQ)total score[(36.12±3.23)points vs.(54.67±3.35)points](P＜0.001 all).Patients in intervention group had significant lower incidence of adverse events comparing to those in control group(7.27％ vs.25.45％,P=0.010).Conclu-sion:Medical community homogenization management could significantly improve self-care ability,heart func-tion,vascular endothelial function and quality of life with good safety in CHF patients.

Objective:To investigate the significance of serum β2-microglobulin(β2-MG)for survival and relapse of patients with diffuse large B-cell lymphoma(DLBCL)in the rituximab era.Methods:Clinical data of 92 patients with DLBCL admitted from December 2003 to July 2015 were retrospectively analyzed.The optimal cutoff value of β2-MG levels for predicting prognosis of the DLBCL patients was determined using receiver operating characteristic(ROC)curve.Kaplan-Meier analysis was used to estimate progression-free survival(PFS)and overall survival(OS).Cox logistic regression analysis was used to explore potential prognostic factors associated with survival.Binary logistic regression analysis was used to analyze the relationship between various factors and relapse.Results:The most discriminative cutoff value for β2-MG level was determined to be 2.25 mg/L by the ROC curve.Subgroup analysis showed that patients in the elevated β2-MG(＞2.25 mg/L)group had significantly worse PFS(P=0.006)and a trend toward worse OS compared with those in the low β2-MG(≤2.25 mg/L)group(P=0.053).Univariate analysis showed that elevated β2-MG,age＞60 years,Ann Arbor stage Ⅲ-Ⅳ,as well as IPI score ≥ 3 were associated with worse PFS.Binary logistic regression analysis showed that age＞60 years and β2-M G＞2.25 mg/L were potential influencing factors for relapse of DLBCL patients.Conclusion:Serum β2-MG might be an important predictor for the survival and relapse of DLBCL patients in the rituximab era.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*

In recent years, with the policy reform of new drug review and approval, China has ushered in a surge of innovative drug development. Based on the Pharnexcloud database and the Pharmcube database, we analyzed the innovative drugs approved for marketing and entered clinical trials in China, sorted out the major research and development (R&D) institutions and enterprises, the distribution of innovative drug target types, and the primary therapeutic areas of the approved innovative drugs, and compared with the global innovative drug R&D landscape. Since 2020, China's innovative drug development has shown a rapid growth trend, with intense competition among biopharmaceutical companies, and the emergence of a number of leading biopharmaceutical enterprises. Popular targets for clinical-stage and approved drugs include protein tyrosine kinase, epidermal growth factor receptor, vascular endothelial growth factor receptor, and others. Oncological diseases are the most active domain for new drug R&D in China, followed by infectious diseases and neurological diseases. Suggestions for future development are proposed to increase policy support, enhance R&D innovation investment, optimize pipeline layout, strengthen international cooperation, and focus on innovative targets. This review provides a reference for pharmaceutical R&D enterprises, scientific researchers, and government administrators.
China ; Drug Development/trends* ; Drug Approval ; Pharmaceutical Research

AIM To study the effects and possible mechanism of Fuke Qianjin Formula and its modifications on sequelae of pelvic inflammatory disease(PID)in rats.METHODS The SD rats were randomly divided into the normal group,the sham operation group,the model group,Kangfuyan group(FYK,0.756 g/kg),Fuke Qianjin Formula group(FKQ,2.7 g/kg),Yijun Formula group(YJ,2.7 g/kg),Kangyan Formula group(KY,2.7 g/kg)and Buyi Formula group(BY,2.7 g/kg).After 28 days of corresponding administration by gavage,the rats were put to death to procure their uterus,spleen,thymus and liver for the calculation of the organs indices levels;the observation of the general morphology of uterus and oviduct and histopathological examination of uterus and oviduct;the measurement of.the serum levels of IL-1β,IL-18 and IL-6 by ELISA;the detection of the uterine expressions of TGF-β1,caspase-1,NLRP3,IL-18 and CTGF by Western blot;and the detection of the expressions of CD4+and CD8+in spleen lymphocytes by flow cytometry.RESULTS Compared with the model group,FKQ and YJ group,KY group and BY group displayed decreased indices levels of the uterus,spleen and thymus(P＜0.01);FKQ group and KY group displayed reduced uterine swelling,increased endometrial glands,and reduced inflammatory exudation(P＜0.01),and lower serum levels of IL-1β,IL-18 and IL-6(P＜0.01);FKQ group,KYgroup and BY group displayed decreased protein expressions of TGF-β1 and CTGF(P＜0.05,P＜0.01);FKQ group and KY group displayed decreased protein expressions of NLRP3,caspase-1 and IL-18(P＜0.05,P＜0.01);and FKQ group and BY group displayed increased CD4+/CD8+ratio(P＜0.01).CONCLUSION Being protective to sequelae of PID rat models,Fuke Qianjin Formula and its modifications may contribute their anti-inflammatory efficacy by inhibiting the activation of NLRP3 body to hinder the activation of caspase-1,reduce the secretion and release of pro-inflammatory factor IL-18,and thus inhibit pyroptosis.