Objective:To evaluate the predictive value of simplified geriatric assessment (sGA) in elderly Chinese patients diagnosed with diffuse large B-cell lymphoma (DLBCL) .Methods:It retrospectively analyzed the relationships of sGA with the clinical characteristics, outcome, and prognosis of 219 patients aged ≥60 years who were newly diagnosed with DLBCL at six hospitals in Jiangsu province between January 2018 and December 2022.Results:The median age of 219 patients was 68 years (60-87 years). According to the sGA system criteria, 101 (46.1%), 103 (47.0%), and 15 (6.8%) elderly patients with DLBCL were categorized as fit, unfit, and frail, respectively. The most common adverse reactions after chemotherapy were hematologic, and the incidence of grade >2 hematologic adverse reactions was similar among the three groups (47.5% vs 41.7% vs 46.7%, respectively; χ2=0.712, P=0.700). Compared with the fit and unfit groups, the frail group showed tendencies toward for higher proportions of grade >2 gastrointestinal, pulmonary, and infectious adverse reactions ( P>0.05 for all). The fit, unfit, and frail groups had respective remission rates of 74.3%, 46.6%, and 20.0% ( χ2=25.249, P<0.001) ; disease progression rates of 5.9%, 11.7%, and 26.7% ( χ2=6.763, P<0.05) ; 2-year overall survival rates of 92.1% (95% CI 86.6% to 97.9%), 77.6% (95% CI 69.5% to 86.6%), and 70.1% (95% CI 49.4% to 99.6%) ( P<0.05) ; and 2-year progression-free survival rates of 76.8% (95% CI 67.0% to 84.8%), 69.7% (95% CI 61.8% to 82.0%), and 65.7% (95% CI 53.3% to 100%) ( P=0.399) . Conclusion:sGA can effectively predict treatment adverse effects and efficacy, disease progression, and long-term survival in elderly DLBCL.

Traditional Chinese medicine (TCM) serves as a treasure trove of ancient knowledge, holding a crucial position in the medical field. However, the exploration of TCM's extensive information has been hindered by challenges related to data standardization, completeness, and accuracy, primarily due to the decentralized distribution of TCM resources. To address these issues, we developed a platform for TCM knowledge discovery (TCMKD, https://cbcb.cdutcm.edu.cn/TCMKD/). Seven types of data, including syndromes, formulas, Chinese patent drugs (CPDs), Chinese medicinal materials (CMMs), ingredients, targets, and diseases, were manually proofread and consolidated within TCMKD. To strengthen the integration of TCM with modern medicine, TCMKD employs analytical methods such as TCM data mining, enrichment analysis, and network localization and separation. These tools help elucidate the molecular-level commonalities between TCM and contemporary scientific insights. In addition to its analytical capabilities, a quick question and answer (Q&A) system is also embedded within TCMKD to query the database efficiently, thereby improving the interactivity of the platform. The platform also provides a TCM text annotation tool, offering a simple and efficient method for TCM text mining. Overall, TCMKD not only has the potential to become a pivotal repository for TCM, delving into the pharmacological foundations of TCM treatments, but its flexible embedded tools and algorithms can also be applied to the study of other traditional medical systems, extending beyond just TCM.

As the "main force" for providing health services, there has been a constant increase in the number of health service and management graduates in recent years, but with a lack of satisfactory quality. The concept of outcome-based education (OBE) takes the needs of all parties as the starting point and foothold for practice, which can ensure the consistency between the goal of talent training and the learning achievements of students to the greatest extent. This article proposes to integrate the educational concept of OBE into the training path of health service and management talents, clarify talent training objectives by understanding the needs of all parties, optimize the curriculum system according to training objectives, and construct a diversified evaluation system with the organic combination of process evaluation and summative assessment, in order to continuously optimize the training path of health service and management talents and cultivate applied health management talents with knowledge, ability, and quality.

Traditional Chinese medicine(TCM)serves as a treasure trove of ancient knowledge,holding a crucial position in the medical field.However,the exploration of TCM's extensive information has been hindered by challenges related to data standardization,completeness,and accuracy,primarily due to the decen-tralized distribution of TCM resources.To address these issues,we developed a platform for TCM knowledge discovery(TCMKD,https://cbcb.cdutcm.edu.cn/TCMKD/).Seven types of data,including syndromes,formulas,Chinese patent drugs(CPDs),Chinese medicinal materials(CMMs),ingredients,targets,and diseases,were manually proofread and consolidated within TCMKD.To strengthen the integration of TCM with modern medicine,TCMKD employs analytical methods such as TCM data mining,enrichment analysis,and network localization and separation.These tools help elucidate the molecular-level commonalities between TCM and contemporary scientific insights.In addition to its analytical capabilities,a quick question and answer(Q&A)system is also embedded within TCMKD to query the database efficiently,thereby improving the interactivity of the platform.The platform also provides a TCM text annotation tool,offering a simple and efficient method for TCM text mining.Overall,TCMKD not only has the potential to become a pivotal repository for TCM,delving into the pharmaco-logical foundations of TCM treatments,but its flexible embedded tools and algorithms can also be applied to the study of other traditional medical systems,extending beyond just TCM.

Objective:To explore the correlation between serum ferritin (SF) and risk of lean non-alcoholic fatty liver disease (NAFLD), so as to provide the basis for the prevention and treatment of lean NAFLD.Methods:A total of 7 187 people without NAFLD at baseline who took at least 2 physical examinations in the Health Management Center of the Second Hospital of Dalian Medical University from January 2014 to December 2023 and met the selection criteria were selected as the research subjects, and all the subjects had no NAFLD at baseline. Subjects were divided into four groups according to baseline SF quartiles: 1 797 cases in the first quartile ( Q1) group, 1 797 cases in the second quartile ( Q2) group, 1 797 cases in the third quartile ( Q3) group, and 1 796 cases in the fourth quartile ( Q4) group. The incidence of lean NAFLD in each group were observed. Kaplan-Meier curve was plotted to calculate the cumulative incidence of lean NAFLD which compared by log-rank test. Cox proportional hazard regression model was used to analyze the correlation between SF and new-onset lean NAFLD, Q1, Q2, Q3 and Q4 of SF were taken as continuous variables into the model for trend test.The stability of the results was verified by two item sensitivity analyses. Time-dependent receiver operating characteristic curve (ROC) was plotted to evaluate the predictive value of SF for the onset of lean NAFLD. Results:The cumulative follow-up were 25 076 person-years. There were 230 new cases of lean NAFLD, and the incidence density was 9.172/1 000 person-years. The incidence densities of lean NAFLD in Q1, Q2, Q3 and Q4 groups were 6.915/1 000 person-years, 8.552/1 000 person-years, 9.641/1 000 person-years, 12.003/1 000 person-years, respectively. Kaplan-Meier curve indicated that the incidence of lean NAFLD was increased with the increment of SF, and the difference was statistically significant (log-rank test, χ2=9.92, P=0.019). Cox proportional hazard regression model results showed that the risk of developing lean NAFLD in Q4 group increased by 72.8% ( HR=1.728, 95% confidence interval (95% CI): 1.059 to 2.820) compared with Q1 group. Trend analysis revealed that the risk of lean NAFLD increased by 18.9% for each one-quartile increase of SF( HR=1.189, 95% CI: 1.012 to 1.396). Two sensitivity analyses indicated that the risk of NAFLD in Q4 group was 1.795 times ( HR=1.795, 95% CI: 1.083 to 2.975) or 1.654 times ( HR=1.654, 95% CI: 1.022 to 2.678) higher than that in Q1 group. The area under the curve (95% CI) of SF for predicting the incidence of lean NAFLD at 2-, 3-, 7- and 8-year follow-up based on time-dependent ROC were 0.645 (0.593 to 0.698), 0.652 (0.603 to 0.700), 0.605 (0.539 to 0.672) and 0.716 (0.597 to 0.836), respectively. Conclusion:SF is an independent risk factor for lean NAFLD and has predictive value for the new-onset of lean NAFLD.

Objective:To investigate transition pattern of health status among middle-aged and elderly population in China based on frailty index.Methods:In this retrospective cohort study, middle-aged and elderly people were selected from the China Health and Retirement Longitudinal Study (CHARLS) in 2011; and 1 434 subjects were followed up to 2015. The frailty index was calculated from the prevalence of chronic diseases, daily activity ability and blood biomarkers, and the frailty state was divided by quartiles of the frailty index. Markov models were constructed to determine the transition probabilities of different frailty states.Results:The mean age of the 1 434 subjects was (59.0±9.4) years and the mean frailty index was 0.11±0.05. In the healthy individuals, 63.0% remained healthy after a four-year follow-up; during the same follow-up period, 40.9% of the mildly frail individuals and 23.0% of the moderately frail individuals remained in their baseline frailty status. Increasing age leaded to a gradual increase in the probability of the population shifting to a severely frailty state. Women were more likely to shift to severe frailty status than men (0.029 vs 0.019, Z=3.03, P=0.002). Conclusion:Among middle-aged and elderly population in China, the transition of health states follows a pattern where higher frailty levels are associated with lower stability. Advanced age and female gender are identified as risk factors for progression to severe frailty.

Objective:To explore the relationship between thyroid hormone sensitivity and metabolic dysfunction-associated steatotic liver disease(MASLD) in a population with normal thyroid function, with a particular focus on sex-specific differences.Methods:This retrospective study included 41 355 euthyroid cases who underwent routine health examinations at the Health Management Centre of the Second Affiliated Hospital of Dalian Medical University from January 2014 to December 2023 were included. The free triiodothyronine(FT 3) to free thyroxine(FT 4) ratio(FT 3/FT 4) was calculated in order to reflect the peripheral sensitivity of the thyroid gland. Similarly, thyroid feedback quantile-based index(TFQI), thyrotrophic thyroxine resistance index(TT 4RI), and the FT 3-based TFQI-derived index(TFQI-FT 3) were calculated in order to reflect the central sensitivity of the thyroid gland. A Logistic regression was employed to analyse the effect of sex-specific thyroid hormone sensitivity indices on the prevalence of MASLD. The restricted cubic spline was used to analyse the non-linear relationship between the thyroid sensitivity hormone indices and MASLD. Furthermore, the correlation between the thyroid hormone sensitivity indices and MASLD in different subgroups was also analysed. Results:The prevalence of MASLD in the study population was 28.8%. After adjusting the model for confounders, the risk of MASLD increased by 7%, 3%, 10%, and 5% for each standard deviation increase in FT 3/FT 4, TFQI, TFQI-FT 3, and TT 4RI in the total population, respectively. The risk of MASLD increased by 6% and 5% for each standard deviation increase in FT 3/FT 4 and TFQI-FT 3 in men, respectively. For each standard deviation increase in FT 3/FT 4, TFQI, TFQI-FT 3, and TT 4RI in women, the risk of MASLD increased by 6%, 5%, 11%, and 5%, respectively. Higher FT 3/FT 4 and TFQI-FT 3 were positively associated with the risk of developing MASLD in men, and higher FT 3/FT 4, TFQI, TFQI-FT 3, and TT 4RI were positively associated with the risk of developing MASLD in women. There was a non-linear, inverted U-shaped relationship between TFQI and risk of MASLD in women. Subgroup analyses showed positive associations between FT 3/FT 4, TFQI, TFQI-FT 3, and MASLD. Conclusions:The thyroid hormone sensitivity indices may provide a basis for clinical prevention and management of MASLD in individuals with normal thyroid function. Additionally, FT 3/FT 4 and TFQI-FT 3 may indicate the risk of MASLD in the general population, while TFQI and TT 4RI are more suitable for assessing the risk of MASLD in women.

Objective:To evaluate the predictive value of simplified geriatric assessment (sGA) in elderly Chinese patients diagnosed with diffuse large B-cell lymphoma (DLBCL) .Methods:It retrospectively analyzed the relationships of sGA with the clinical characteristics, outcome, and prognosis of 219 patients aged ≥60 years who were newly diagnosed with DLBCL at six hospitals in Jiangsu province between January 2018 and December 2022.Results:The median age of 219 patients was 68 years (60-87 years). According to the sGA system criteria, 101 (46.1%), 103 (47.0%), and 15 (6.8%) elderly patients with DLBCL were categorized as fit, unfit, and frail, respectively. The most common adverse reactions after chemotherapy were hematologic, and the incidence of grade >2 hematologic adverse reactions was similar among the three groups (47.5% vs 41.7% vs 46.7%, respectively; χ2=0.712, P=0.700). Compared with the fit and unfit groups, the frail group showed tendencies toward for higher proportions of grade >2 gastrointestinal, pulmonary, and infectious adverse reactions ( P>0.05 for all). The fit, unfit, and frail groups had respective remission rates of 74.3%, 46.6%, and 20.0% ( χ2=25.249, P<0.001) ; disease progression rates of 5.9%, 11.7%, and 26.7% ( χ2=6.763, P<0.05) ; 2-year overall survival rates of 92.1% (95% CI 86.6% to 97.9%), 77.6% (95% CI 69.5% to 86.6%), and 70.1% (95% CI 49.4% to 99.6%) ( P<0.05) ; and 2-year progression-free survival rates of 76.8% (95% CI 67.0% to 84.8%), 69.7% (95% CI 61.8% to 82.0%), and 65.7% (95% CI 53.3% to 100%) ( P=0.399) . Conclusion:sGA can effectively predict treatment adverse effects and efficacy, disease progression, and long-term survival in elderly DLBCL.

As the "main force" for providing health services, there has been a constant increase in the number of health service and management graduates in recent years, but with a lack of satisfactory quality. The concept of outcome-based education (OBE) takes the needs of all parties as the starting point and foothold for practice, which can ensure the consistency between the goal of talent training and the learning achievements of students to the greatest extent. This article proposes to integrate the educational concept of OBE into the training path of health service and management talents, clarify talent training objectives by understanding the needs of all parties, optimize the curriculum system according to training objectives, and construct a diversified evaluation system with the organic combination of process evaluation and summative assessment, in order to continuously optimize the training path of health service and management talents and cultivate applied health management talents with knowledge, ability, and quality.

Objective:To investigate transition pattern of health status among middle-aged and elderly population in China based on frailty index.Methods:In this retrospective cohort study, middle-aged and elderly people were selected from the China Health and Retirement Longitudinal Study (CHARLS) in 2011; and 1 434 subjects were followed up to 2015. The frailty index was calculated from the prevalence of chronic diseases, daily activity ability and blood biomarkers, and the frailty state was divided by quartiles of the frailty index. Markov models were constructed to determine the transition probabilities of different frailty states.Results:The mean age of the 1 434 subjects was (59.0±9.4) years and the mean frailty index was 0.11±0.05. In the healthy individuals, 63.0% remained healthy after a four-year follow-up; during the same follow-up period, 40.9% of the mildly frail individuals and 23.0% of the moderately frail individuals remained in their baseline frailty status. Increasing age leaded to a gradual increase in the probability of the population shifting to a severely frailty state. Women were more likely to shift to severe frailty status than men (0.029 vs 0.019, Z=3.03, P=0.002). Conclusion:Among middle-aged and elderly population in China, the transition of health states follows a pattern where higher frailty levels are associated with lower stability. Advanced age and female gender are identified as risk factors for progression to severe frailty.