Sodium-glucose cotransporter 2 （SGLT2） is involved in most glucose reabsorption in the kidney. Inhibition of SGLT2 leads to the excretion of glucose through urine and represents an important concept in the treatment of type 2 diabetes. With the development of pharmacogenomics, it was found that SGLT2 gene polymorphism had certain effects on fasting blood glucose, glycosylated hemoglobin and insulin levels, and may affect the risk of type 2 diabetes and response to treatment with SGLT2 inhibitors, which is of great significance in the treatment of T2DM. Domestic and international studies on SGLT2 gene polymorphism were reviewed and effects of SGLT2 inhibitor （SGLT2i） in the treatment of T2DM were discussed in this paper.

Objective To investigate the epidemiological characteristics of lymphoma mortality and potential years of life lost among Wuhan residents, and to provide a scientific basis for the prevention and control of lymphoma. Methods Data on lymphoma deaths among residents in Wuhan from 2010 to 2019 were collected from the population-based Wuhan Mortality Surveillance System. Joinpoint regression model was used to evaluate the trends in age-standardized mortality rates and potential years of life lost due to lymphoma among the residents of different ages and genders. Potential years of life lost rate was used to assess the disease burden. Results There were 4 055 deaths (2481in male and 1 574 in female) from major kidney diseases in Wuhan residents between 2010 to 2019, with an age-standardized mortality rate of 5.11/100 000. The mortality rate of major kidney diseases showed an upward trend with increasing age. Between 2010 and 2019, the age-standardized mortality rates of the multiple myeloma and non-Hodgkin lymphoma were significantly increased (APC=6.924%, APC=1.407%, P＜0.05), and the potential years of life lost rate of non-Hodgkin lymphoma in female were significantly increased (APC=7.935%，P＜0.05). Conclusion From 2010 to 2019, the mortality rate of lymphoma among residents of Wuhan City shows an upward trend, especially for multiple myeloma and non-Hodgkin lymphoma. The disease burden of multiple myeloma shows an increasing trend in the female population, suggesting the need to take corresponding preventive and control measures.

ObjectiveTo analyze the risk factors for long-term cardiovascular events in patients undergoing long-term peritoneal dialysis （PD）， and to construct and validate a visual nomogram prediction model based on multiple parameters. MethodsA prospective cohort study was conducted， consecutively enrolling 248 maintenance PD patients （dialysis duration ≥ 3 months）. Demographic characteristics， clinical indicators， laboratory parameters， and echocardiographic indices （including left ventricular ejection fraction ［LVEF］， ratio of early diastolic mitral inflow velocity to early diastolic mitral annular velocity （E/e’）， etc.） were collected. The composite endpoint was defined as the occurrence of cardiovascular events or cardiovascular death， with non-cardiovascular death as the competing risk and loss to follow-up or the end of follow-up as censoring events. Fine-Gray competing risks model was used to screen independent predictors， based on which a nomogram model was constructed. Internal validation was performed using the Bootstrap method （1 000 resamplings）， and the concordance index （C-index） and time-dependent receiver operating characteristic （time-dependent ROC） curve were calculated to evaluate the model performance. ResultsWith a median follow-up of 29 months （interquartile range： 24–35 months）， 88 patients （35.48%） reached the composite endpoint， including 80 cases of cardiovascular events and 8 cases of cardiovascular death， and 4 patients died of non-cardiovascular causes. Multivariate Fine-Gray analysis revealed that age， diabetes mellitus， hemoglobin （HGB） level and E/e' ratio were independent influencing factors of the composite endpoint. Specifically， each 1-year increase in age was associated with a 3.0% increase in the risk of the composite endpoint （HR=1.030， P=0.006）； patients with diabetes mellitus had a 167.9% higher risk compared with non-diabetic patients （HR=2.679， P=0.007）； each 1g/L increase in HGB level contributed to a 1.5% reduction in the risk （HR=0.985， P=0.003）； and each 0.1 increase in E/e' ratio led to a 7.2% increase in the risk （HR=1.072， P=0.045）. The nomogram model had a C-index of 0.76 （95% CI： 0.698–0.820）， and the AUC of the time-dependent ROC curve reached 0.849 at 23 months of follow-up. ConclusionIncreased age， complicated with diabetes mellitus， decreased HGB， and elevated E/e' ratio are independent risk factors of long-term occurrence of cardiovascular events and cardiovascular death in patients undergoing long-term PD. The nomogram model constructed based on the above variables has good predictive value and clinical applicability， which can provide a reference for cardiovascular risk stratification and individualized intervention in long-term PD patients.

Transdermal drug delivery offers advantages such as safety, convenience, and high patient compliance. However, the complex structure of the skin and significant individual variability, particularly the barrier function of the stratum corneum, result in generally low bioavailability for topical formulations. The formulation of topical drug products is complex, with numerous factors influencing quality, which requires strict control of product quality. Raman spectroscopy, as a non-destructive vibrational technique, combined with chemometric methods, imaging technology, and other spectroscopic techniques, can be applied to study the key quality attributes of topical drug formulations. The applications of Raman spectroscopy in studies of the crystal form, particle size distribution, excipient research, and in vitro transdermal experiments of topical drug formulations were summarized. In particular, it focused on the use of Raman spectroscopy in the selection of skin samples for in vitro permeation tests, the study of drug spatial distribution in the skin, and the interactions between drugs and the skin.

Objective: To develop a dual-branch deep learning framework for accurate multi-label classification of fundus diseases, addressing the key limitations of insufficient complementary feature extraction and inadequate cross-modal feature fusion in existing automated diagnostic methods. Methods: The fundus multi-label classification dataset with 12 disease categories (FMLC-12) dataset was constructed by integrating complementary samples from Ocular Disease Intelligent Recognition (ODIR) and Retinal Fundus Multi-Disease Image Dataset (RFMiD), yielding 6 936 fundus images across 12 retinal pathology categories, and the framework was validated on both FMLC-12 and ODIR. Inspired by the holistic multi-regional assessment principle of the Five Wheels theory in traditional Chinese medicine (TCM) ophthalmology, the dual-branch multi-label network (DBMNet) was developed as a novel framework integrating complementary visual feature extraction with pathological correlation modeling. The architecture employed a TransNeXt backbone within a dual-branch design: one branch processed red-green-blue (RGB) images to capture color-dependent features, such as vascular patterns and lesion morphology, while the other processed grayscale-converted images to enhance subtle textural details and contrast variations. A feature interaction module (FIM) effectively integrated the multi-scale features from both branches. Comprehensive ablation studies were conducted to evaluate the contributions of the dual-branch architecture and the FIM. The performance of DBMNet was compared against four state-of-the-art methods, including EfficientNet Ensemble, transfer learning-based convolutional neural network (CNN), BFENet, and EyeDeep-Net, using mean average precision (mAP), F1-score, and Cohen's kappa coefficient. Results: The dual-branch architecture improved mAP by 15.44 percentage points over the single-branch TransNeXt baseline, increasing from 34.41% to 44.24%, and the addition of FIM further boosted mAP to 49.85%. On FMLC-12, DBMNet achieved an mAP of 49.85%, a Cohen’s kappa coefficient of 62.14%, and an F1-score of 70.21%. Compared with BFENet (mAP: 45.42%, kappa: 46.64%, F1-score: 71.34%), DBMNet outperformed it by 4.43 percentage points in mAP and 15.50 percentage points in kappa, while BFENet achieved a marginally higher F1-score. On ODIR, DBMNet achieved an F1-score of 85.50%, comparable to state-of-the-art methods. Conclusion DBMNet effectively integrates RGB and grayscale visual modalities through a dual-branch architecture, significantly improving multi-label fundus disease classification. The framework not only addresses the issue of insufficient feature fusion in existing methods but also demonstrates outstanding performance in balancing detection across both common and rare diseases, providing a promising and clinically applicable pathway for standardized, intelligent fundus disease classification.

ObjectiveTo construct a competency model for "dual-qualified" teachers in vocational undergraduate rehabilitation therapy programs based on the World Health Organization's rehabilitation competency framework (RCF) and relevant domestic and international standards, and explore the training pathways for rehabilitation therapy teachers in China. MethodsLiterature analysis and comparative research methods were employed to systematically review RCF, physiotherapist-education-framework-FINAL, the Minimum-Standards-for-the-Education-of-Occupational-Therapists, and the "dual-qualified" teacher standards in vocational education for China. Focusing on the characteristics of vocational undergraduate talent cultivation, it took the integration of the "educator-clinical rehabilitation therapist" dual roles as its starting point, combining rehabilitation industry competence with educator standards as its basic principle, and using RCF as its foundational dimension. It then integrated advanced competency dimensions required of vocational undergraduate teachers to form a dimensional framework. Following the systematic curriculum development concept of the work process, the core activities of each dimension were designed by combining, improving and expanding the concept integration method, and describing the ability characteristics in a graded and progressive manner, to construct a model. ResultsThis model was guided by the core concepts of three types of values ​​and four types of professional beliefs. Vertically, it encompassed 28 activities across eight competency dimensions, including teaching practice, rehabilitation practice, digital literacy, professionalism, learning and development, management and leadership, applied research, and social service. Horizontally, it encompassed 53 corresponding competency characteristics across three advanced levels (beginner, intermediate and advanced). ConclusionThis model, through its vertical dimension design and horizontal progressive development, clearly describes the advancement of vocational undergraduate rehabilitation therapy teachers from newly hired teachers to backbone teachers and professional leaders. It not only aligns with the general requirements of the national standards for "dual-qualified" teachers in higher vocational colleges in China, but also incorporates an international perspective on rehabilitation education and practice, and possesses the characteristics of vocational undergraduate education that integrates multiple abilities and roles. At the theoretical level, it provides core theoretical support for establishing standardized and internationalized "dual-qualified" teacher standards for vocational undergraduate rehabilitation therapy programs in China; at the practical level, it serves as an "action map" for teacher professional development, assessment and evaluation, providing a key reference for constructing a systematic high-end skilled rehabilitation talent training system.

ObjectiveTo systematically synthesize the illness experiences and unmet needs of patients with stroke during the rehabilitation phase. MethodsQualitative studies focusing on the illness experiences and needs of stroke patients in the rehabilitation period were retrieved from the databases of Cochrane Library, PubMed, Embase, Web of Science, CINAHL, CNKI, CBM, Wanfang data and VIP. The search timeframe was from database inception to December, 2024. Methodological quality was evaluated using the Joanna Briggs Institute Qualitative Assessment and Review Instrument. A meta-synthesis method was adopted to categorize and integrate the findings. ResultsA total of ten studies were included. Forty-nine themes were extracted and further grouped into ten categories, which were finally integrated into three overarching themes: negative illness perceptions, multifaceted rehabilitation motivations and unmet multidimensional needs. ConclusionPatients with stroke undergo complex physical and psychological experiences during rehabilitation and present diverse and multidimensional needs.

ObjectiveTo construct a competency model for "dual-qualified" teachers in vocational undergraduate rehabilitation therapy programs based on the World Health Organization's rehabilitation competency framework (RCF) and relevant domestic and international standards, and explore the training pathways for rehabilitation therapy teachers in China. MethodsLiterature analysis and comparative research methods were employed to systematically review RCF, physiotherapist-education-framework-FINAL, the Minimum-Standards-for-the-Education-of-Occupational-Therapists, and the "dual-qualified" teacher standards in vocational education for China. Focusing on the characteristics of vocational undergraduate talent cultivation, it took the integration of the "educator-clinical rehabilitation therapist" dual roles as its starting point, combining rehabilitation industry competence with educator standards as its basic principle, and using RCF as its foundational dimension. It then integrated advanced competency dimensions required of vocational undergraduate teachers to form a dimensional framework. Following the systematic curriculum development concept of the work process, the core activities of each dimension were designed by combining, improving and expanding the concept integration method, and describing the ability characteristics in a graded and progressive manner, to construct a model. ResultsThis model was guided by the core concepts of three types of values ​​and four types of professional beliefs. Vertically, it encompassed 28 activities across eight competency dimensions, including teaching practice, rehabilitation practice, digital literacy, professionalism, learning and development, management and leadership, applied research, and social service. Horizontally, it encompassed 53 corresponding competency characteristics across three advanced levels (beginner, intermediate and advanced). ConclusionThis model, through its vertical dimension design and horizontal progressive development, clearly describes the advancement of vocational undergraduate rehabilitation therapy teachers from newly hired teachers to backbone teachers and professional leaders. It not only aligns with the general requirements of the national standards for "dual-qualified" teachers in higher vocational colleges in China, but also incorporates an international perspective on rehabilitation education and practice, and possesses the characteristics of vocational undergraduate education that integrates multiple abilities and roles. At the theoretical level, it provides core theoretical support for establishing standardized and internationalized "dual-qualified" teacher standards for vocational undergraduate rehabilitation therapy programs in China; at the practical level, it serves as an "action map" for teacher professional development, assessment and evaluation, providing a key reference for constructing a systematic high-end skilled rehabilitation talent training system.

ObjectiveTo systematically synthesize the illness experiences and unmet needs of patients with stroke during the rehabilitation phase. MethodsQualitative studies focusing on the illness experiences and needs of stroke patients in the rehabilitation period were retrieved from the databases of Cochrane Library, PubMed, Embase, Web of Science, CINAHL, CNKI, CBM, Wanfang data and VIP. The search timeframe was from database inception to December, 2024. Methodological quality was evaluated using the Joanna Briggs Institute Qualitative Assessment and Review Instrument. A meta-synthesis method was adopted to categorize and integrate the findings. ResultsA total of ten studies were included. Forty-nine themes were extracted and further grouped into ten categories, which were finally integrated into three overarching themes: negative illness perceptions, multifaceted rehabilitation motivations and unmet multidimensional needs. ConclusionPatients with stroke undergo complex physical and psychological experiences during rehabilitation and present diverse and multidimensional needs.

ObjectiveTo construct a competency model for "dual-qualified" teachers in vocational undergraduate rehabilitation therapy programs based on the World Health Organization's rehabilitation competency framework (RCF) and relevant domestic and international standards, and explore the training pathways for rehabilitation therapy teachers in China. MethodsLiterature analysis and comparative research methods were employed to systematically review RCF, physiotherapist-education-framework-FINAL, the Minimum-Standards-for-the-Education-of-Occupational-Therapists, and the "dual-qualified" teacher standards in vocational education for China. Focusing on the characteristics of vocational undergraduate talent cultivation, it took the integration of the "educator-clinical rehabilitation therapist" dual roles as its starting point, combining rehabilitation industry competence with educator standards as its basic principle, and using RCF as its foundational dimension. It then integrated advanced competency dimensions required of vocational undergraduate teachers to form a dimensional framework. Following the systematic curriculum development concept of the work process, the core activities of each dimension were designed by combining, improving and expanding the concept integration method, and describing the ability characteristics in a graded and progressive manner, to construct a model. ResultsThis model was guided by the core concepts of three types of values ​​and four types of professional beliefs. Vertically, it encompassed 28 activities across eight competency dimensions, including teaching practice, rehabilitation practice, digital literacy, professionalism, learning and development, management and leadership, applied research, and social service. Horizontally, it encompassed 53 corresponding competency characteristics across three advanced levels (beginner, intermediate and advanced). ConclusionThis model, through its vertical dimension design and horizontal progressive development, clearly describes the advancement of vocational undergraduate rehabilitation therapy teachers from newly hired teachers to backbone teachers and professional leaders. It not only aligns with the general requirements of the national standards for "dual-qualified" teachers in higher vocational colleges in China, but also incorporates an international perspective on rehabilitation education and practice, and possesses the characteristics of vocational undergraduate education that integrates multiple abilities and roles. At the theoretical level, it provides core theoretical support for establishing standardized and internationalized "dual-qualified" teacher standards for vocational undergraduate rehabilitation therapy programs in China; at the practical level, it serves as an "action map" for teacher professional development, assessment and evaluation, providing a key reference for constructing a systematic high-end skilled rehabilitation talent training system.