Retinal degenerative diseases are a group of blinding ocular disorders characterized by progressive and irreversible loss of retinal neural cells. They mainly include age-related macular degeneration and retinitis pigmentosa. At present, there are no curative clinical therapies capable of reversing the disease course. Patients have poor long-term visual prognosis, imposing a heavy public-health burden on families and society. Mesenchymal stem cell(MSC)-derived exosomes, as a novel cell-free therapeutic vector, have emerged as a research hotspot due to their low immunogenicity, no tumorigenic risk, and excellent tissue barrier penetration ability. This review systematically summarizes the core mechanisms of MSC-derived exosomes in regulating immune inflammation, inhibiting apoptosis, and promoting retinal neuroprotection and structural/functional recovery via miRNA and tsRNA, compares the efficacy differences and existing controversies among exosomes from different sources, and outlines the advances in intraocular delivery technologies and engineering modification strategies. Combined with preclinical and clinical data, the current bottlenecks and safety evidence for clinical translation were objectively described. Meanwhile, in view of the heterogeneity among existing studies, this review proposes future directions including standardized preparation and the establishment of efficacy evaluation systems, so as to provide theoretical references for the development of novel therapeutic strategies for retinal degenerative diseases.

Objective:To investigate the correlation between relative fat mass(RFM)and Estimated Glomerular Filtration Rate(eGFR)in an elderly hypertensive population.Methods:This cross-sectional study enrolled elderly hypertensive individuals aged 65 years and older from Huai'an city between June 2023 and December 2023.Clinical data for these subjects were collected, and RFM and eGFR were calculated according to established formulas.Subsequently, the subjects were divided into two groups based on their eGFR levels: the eGFR normal group and the eGFR decreased group.Differences between these two groups were compared.Multivariate logistic regression models were employed to analyze the association between RFM and eGFR, and a subgroup analysis was conducted.The predictive value of RFM for renal function decline was evaluated using receiver operating characteristic curves(ROC).Results:Among the 2, 603 subjects, 921(35.4%)were assigned to the eGFR decreased group, while 1, 682(64.6%)were assigned to the eGFR normal group.The proportion of males, married individuals, smokers, and alcohol drinkers, as well as diastolic blood pressureand cultural levels, were significantly lower in the eGFR decreased group compared to the eGFR normal group (all P<0.05). Conversely, the duration of hypertension, proportion of comorbidities, age, fasting blood glucose, triglycerides, low-density lipoprotein cholesterol(LDL-C), relative fat mass(RFM), visceral fat index(VAI), dysfunctional obesity index(DAI), body roundness index(BRI), and conicity index(C-index)were all significantly higher in the eGFR decreased group compared to the eGFR normal group(all P<0.05). After adjusting for confounding factors, multivariate logistic regression analysis revealed that when RFM was treated as a continuous variable, the risk of eGFR decline increased with rising RFM(odds ratio[ OR]=1.035, 95% confidence interval[95% CI]: 1.008-1.063, P=0.010). When grouped according to RFM quartile levels(in ascending order)into Q1(<26.22), Q2(26.22-<30.53), Q3(30.53-<39.26), and Q4(≥39.26), using the Q1 group as a reference, the risk of eGFR decline increased in the Q3( OR=1.691, 95% CI: 1.777-2.430, P=0.004)and Q4( OR=1.743, 95% CI: 1.118-2.717, P=0.014)groups.In the subgroup analysis, gender( P-interaction=0.034)and smoking( P-interaction=0.012)were identified as having significant interaction effects on RFM and the decline in eGFR.In the male subgroup( OR=1.067, 95% CI: 1.027-1.108, Ptrend=0.001)and the smoking subgroup( OR=1.109, 95% CI: 1.026-1.199, Ptrend=0.009), the risk of eGFR decline significantly increased with higher levels of RFM.The restricted cubic spline(RCS)analysis indicated that when RFM exceeded 30.609, the risk of eGFR decline increased with rising RFM levels, demonstrating a non-linear correlation between RFM and the risk of eGFR decline( Pnonlinearity=0.048 5). The ROC curve analysis revealed that the area under the curve(AUC)for RFM in predicting eGFR reduction was 0.635(95% CI: 0.613-0.657, P1<0.001), which was significantly higher than the AUC for VAI(AUC=0.573, 95% CI: 0.550-0.596, P2<0.001), DAI(AUC=0.562, 95% CI: 0.539-0.584, P2<0.001), BRI(AUC=0.564, 95% CI: 0.541-0.587, P2<0.001), and the C-index(AUC=0.536, 95% CI: 0.513-0.559, P2<0.001). Conclusions:Elevated RFM is an independent risk factor for eGFR decline in elderly hypertensive individuals.There exists a significant interaction between gender and smoking with respect to the risk of RFM and eGFR decline.Additionally, RFM demonstrates a notable predictive value for eGFR decline in elderly hypertensive individuals.

As one of the core theories of spleen governing transportation and transformation in the traditional Chinese medicine visceral manifestation theory,the modern biological basis of"spleen qi disperses essence"has not been fully elucidated.Lipids are one of the three major nutrients in the body,which are derived from exogenous absorption or endogenous transformation,and belong to the category of"grease"and"essence"substances in traditional Chinese medicine.Because of their hydrophobic nature,lipids require apolipoproteins to be transported in the bloodstream and used by the body;similarly,essence also needs spleen qi transformation to be distributed throughout the body and exert their nourishing effects,revealing a certain degree of inherent unity between the two.When the spleen qi functions properly,essence dispersal is orderly and lipid metabolism remains in homeostatic balance;if spleen deficient leads to impaired transportation,the essence will not be distributed,and the lipid turbidity will accumulate,causing disease.Classic strengthening spleen prescriptions such as Zexie Decoction,can reshape lipid homeostasis by regulating apolipoproteins.Based on apolipoprotein-mediated lipid metabolism,this paper explores the modern molecular biology basis of the theory of"spleen qi disperses essence,"which provides novel insights for enriching the modern research of traditional Chinese medicine visceral manifestation theory,and lays the foundation for clinical practice and theoretical innovation in the treatment of metabolic diseases from the spleen.

Objective:To evaluate the prevalence, potential risk factors, and correlation between coronary and peripheral microvascular dysfunction in heart failure with non-reduced ejection fraction (nHFrEF) patients.Methods:This was a prospective registry study. nHFrEF patients admitted to Zhongshan Hospital affiliated with Fudan University from December 2021 to December 2023 were enrolled. According to coronary flow reserve (CFR) or reactive congestion index (RHI), enrolled patients were divided into coronary microvascular endothelial dysfunction (CMD) group (CFR<2.5) and no CMD group (CFR≥2.5) or peripheral microvascular endothelial dysfunction (MED) group (RHI<1.67) and no MED group (RHI≥1.67). Patients′ general information, laboratory and auxiliary examination data were collected. Univariate and multivariate logistic regression were used to analyze the influencing factors of CMD and MED in nHFrEF patients, and Spearman correlation analysis was used to evaluate the correlation between MED and CMD.Results:A total of 142 nHFrEF patients were enrolled, aged 69.0 (59.0, 74.0) years, with a male proportion of 66.9% (95/142). The grouping results were as follows: (1) According to CFR, there were 73 cases in the CMD group and 69 cases in the no CMD group; (2) According to RHI, there were 57 cases in the MED group and 85 cases in the no MED group. The prevalence of CMD and MED in this study was 51.4% (73/142) and 40.1% (57/142), respectively. Univariate logistic regression analysis showed that increased heart rate, chronic kidney disease, atrial fibrillation, elevated N-terminal pro-B type natriuretic peptide levels, and increased urinary albumin/creatinine ratio were risk factors for CMD, while increased RHI was a protective factor for CMD; Atrial fibrillation is a risk factor for MED, while increased CFR is a protective factor for MED. Incorporating clinically significant variables from univariate analysis into multivariate analysis, the results showed that increased heart rate and elevated RHI remained risk and protective factors for CMD, respectively; increased CFR remains a protective factor for MED. Spearman correlation analysis showed that CFR was negatively correlated with lg urinary albumin/creatinine ratio, lg cardiac troponin T, lg N-terminal pro-B type natriuretic peptide, and heart rate; RHI is positively correlated with CFR.Conclusions:The prevalence of CMD and MED in nHFrEF patients is high, and the two have a certain positive correlation. Increased heart rate and RHI are risk and protective factors for CMD, respectively, while increased CFR is a protective factor for MED. MED may be a potential therapeutic target for nHFrEF patients.

Objective:To evaluate the long-term outcomes and predictors of coronary atherosclerotic lesions deemed functionally non-ischemic (quantitative flow ratio(QFR)>0.80) and deferred from intervention.Methods:This study is a post-hoc analysis of the FAVOR Ⅲ China trial, which enrolled 3 825 patients with stable or unstable angina pectoris or with myocardial infarction occurring at least 72 hours prior to screening, between December 5, 2018 and January 9, 2020 from 26 research centers in China. Coronary vessels with QFR>0.80 and without interventional treatment were analyzed in this study. The primary endpoint was 3-year target vessel revascularization. Vessels with revascularization (revascularized group) during follow-up were matched 1∶1 using propensity score matching to comparable vessels without revascularization (non-revascularized group). Multivariate Cox regression analysis was used to identify the risk factors for target vessel revascularization (TVR).Results:A total of 6 212 functionally negative vessels with deferred intervention were included in the final analysis, among which 153 vessels (2.5%) underwent TVR during a 3-year follow-up. Prior to propensity score matching, 6 059 vessels comprised the non-revascularized group. At the vessel level, compared to the non-revascularized group, the revascularized group exhibited a significantly higher proportion of males (79.1% (121/153) vs. 70.2% (4 253/6 059), P=0.018), higher body mass index ((25.6±4.0) kg/m2 vs. (24.3±5.2) kg/m2, P=0.003), and a higher prevalence of hypertension (73.9% (113/153) vs. 65.1% (3 944/6 059), P=0.025). And 152 pairs of vessels were successfully matched. Multivariate Cox regression analysis identified in-stent restenosis lesions ( HR=2.59, 95% CI 1.28-5.23, P=0.008) as an independent risk factor for target vessel revascularization. Conclusions:Coronary lesions classified as functionally non-ischemic at baseline are not entirely stable and may progress to lesions that requiring revascularization over time. In-stent restenosis emerges as a critical independent predictor of revascularization.

Objective:To investigate the factors influencing the prescribing habits of general practitioners (GPs) in relation to single-pill combination (SPC) antihypertensive drugs.Methods:This was a qualitative study. Using the purposive sampling method, 2 general hospitals (designated as HAZ1-2) and 4 community health service centers (designated as HAS1-4) in Huai′an city, Jiangsu province were selected from April to May 2023. In addition, 4 general practitioners (designated as A-D) were selected as interviewees from each general hospital and center. The selected individuals were interviewed using on-site thematic group interviews. The interview mainly included the principles of clinical selection of SPC antihypertensive drugs; the degree of acceptance of SPC antihypertensive drugs by patients after prescription; the evaluation of SPC antihypertensive drugs and the difficulties existing in their clinical use. The data of the interview were analyzed according to the thematic framework.Results:Twenty-four GPs were interviewed. Four themes and 9 sub-themes were extracted regarding factors influencing GP prescribing of SPC antihypertensive drugs. The study showed that: (1) the prescribing of SPC antihypertensive drugs by GPs according to patients′ specific conditions; (2) the prescribing of SPC antihypertensive drugs by GPs was influenced by factors such as price and drug adjustment; (3) the different evaluations of SPC antihypertensive drugs among GPs; (4) GPs in community health service centers faced many difficulties in prescribing SPC antihypertensive drugs (relatively fewer varieties of SPC drugs in the community, lower patient trust in community GPs, and lower standardization of prescribing by community GPs).Conclusion:The factors influencing GPs′ prescribing of SPC antihypertensive drugs mainly include the patients′ specific situation, price, medication adjustment, attitude of GPs, and some clinical practice problems.

Objective:To develop and validate clinical predictive models for identifying poor short-term response to recombinant human growth hormone(rhGH) treatment in children with short stature.Methods:A retrospective analysis was conducted on 118 children diagnosed with growth hormone deficiency or idiopathic short stature who were treated at the First Affiliated Hospital of Zhengzhou University and two other hospitals between January 1, 2020, and January 1, 2024. A poor response to rhGH was defined as a height increase of less than 0.2 standard deviation score(SDS) after 6 months of rhGH treatment. LASSO regression was used to identify predictive variables from baseline and follow-up data. Two logistic regression models were conducted: Model A(incorporating baseline variables only) and model B(incorporating both baseline and follow-up variables), and nomograms were created for visualization. External data and internal resampling were used for dual validation of the models, and their performance was compared.Results:A total of 118 children with short stature were included. Six baseline predictive variables(diagnosis, initial height SDS, bone age, bone age-chronological age difference, rhGH dose, and gender) and one follow-up variable(height SDS after 3 months of rhGH treatment) were identified. Area under the curve values for Model A and Model B were 0.753(95% CI 0.696-0.811) and 0.930(95% CI 0.891-0.975), respectively. Calibration curves, decision curve analysis, and other evaluation metrics demonstrated good discrimination and clinical utility for both models. Model B, incorporating the 3-month follow-up variable, showed superior predictive performance compared to Model A. Conclusions:The clinical prediction models developed in this study(Model A and Model B) are practical and reliable tools for quantitatively, conveniently, and intuitively identifying children with short stature at risk of poor response to rhGH treatment.

Objective:To investigate the impact of different CT reconstruction kernels on the quantitative analysis of small pulmonary vessels in patients with chronic obstructive pulmonary disease (COPD) and high-risk patients.Methods:This study was a cross-sectional study. Clinical and imaging data of 73 COPD and high-risk patients visiting the China-Japan Friendship Hospital between March and April 2024 were retrospectively analyzed. All patients underwent high-resolution CT of the chest and pulmonary function tests, with the ratio of forced expiratory volume in one second to forced vital capacity (FEV 1/FVC) obtained. The raw CT data were reconstructed using different kernels: the FC86 group used the adaptive iterative dose reduction(AIDR) 3D standard lung sharp reconstruction algorithm, the FC18 group used the AIDR 3D standard Body standard reconstruction algorithm, the advanced intelligent clear-IQ engine(AiCE) Lung group used the AiCE deep learning reconstruction algorithm for lung, and the AiCE Body group used the AiCE deep learning reconstruction algorithm for body. Image signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR) and image noise were calculated. The pulmonary vessel segmentation & Measurement software was used to segment and extract pulmonary arteries and veins of four groups in thin-slice whole-lung CT imaging, obtaining the ratio of small pulmonary arteries (%V artery<5) and the ratio of small pulmonary veins (%V vein<5). The One-way repeated measures ANOVA or Friedman test was used to compare the differences in SNR, CNR, image noise, %V artery<5, and %V vein<5 among the four groups, followed by Bonferroni post hoc or Bonferroni-Dunn test with P-value correction to analysis differences between subgroups. The correlations between %V artery<5 and FEV 1/FVC, as well as between %V vein<5 and FEV 1/FVC were analyzed using Spearman rank correlation analysis in all four groups. Results:The overall differences in image noise, SNR, and CNR in the AiCE Lung, AiCE Body, FC18, and FC86 groups were statistically significant ( P<0.001). Except for the difference in CNR values between the AiCE Lung group and the FC18 group, which was not statistically significant ( P=0.192), all differences were statistically significant ( P<0.016 7). The overall differences in %V artery<5 values and %V vein<5 values in the AiCE Lung, AiCE Body, FC18, and FC86 groups were statistically significant ( P<0.001). The %V artery<5 and %V vein<5 values in the FC18 group were lower than those in the AiCE Lung, AiCE Body, and FC86 groups ( P<0.016 7), and the rest of the differences were not statistically significant ( P>0.016 7). %V artery<5 and %V vein<5 were positively correlated with FEV 1/FVC in all 4 groups ( P<0.05), with the highest correlation coefficient between %V vein<5 and FEV 1/FVC in the AiCE Body group ( r=0.501, P=0.001). Conclusions:DLR-AiCE-based kernel reconstruction optimizes image quality and significantly affects the results of quantitative parameters of small pulmonary vessels. The reconstruction kernel prioritized for quantitative analysis of small vessels within the lungs in COPD based on the CT scanner in this study is AiCE Body.

ObjectiveTo elucidate the critical role of rehabilitation medical records (including electronic records) in rehabilitation medicine's clinical practice and management, comprehensively analyzed the structure, core content and data standards of rehabilitation medical records, to develop a standardized medical record data architecture and core dataset suitable for rehabilitation medicine and to explore the application of rehabilitation data in performance evaluation and payment. MethodsBased on the regulatory documents Basic Specifications for Medical Record Writing and Basic Specifications for Electronic Medical Records (Trial) issued by National Health Commission of China, and referencing the World Health Organization (WHO) Family of International Classifications (WHO-FICs) classifications, International Classification of Diseases (ICD-10/ICD-11), International Classification of Functioning, Disability and Health (ICF), and International Classification of Health Interventions (ICHI Beta-3), this study constructed the data architecture, core content and data standards for rehabilitation medical records. Furthermore, it explored the application of rehabilitation record summary sheets (home page) data in rehabilitation medical statistics and payment methods, including Diagnosis-related Groups (DRG), Diagnosis-Intervention Packet (DIP) and Case Mix Index. ResultsThis study proposed a systematic standard framework for rehabilitation medical records, covering key components such as patient demographics, rehabilitation diagnosis, functional assessment, rehabilitation treatment prescriptions, progress evaluations and discharge summaries. The research analyzed the systematic application methods and data standards of ICD-10/ICD-11, ICF and ICHI Beta-3 in the fields of medical record terminology, coding and assessment. Constructing a standardized data structure and data standards for rehabilitation medical records can significantly improve the quality of data reporting based on the medical record summary sheet, thereby enhancing the quality control of rehabilitation services, effectively supporting the optimization of rehabilitation medical insurance payment mechanisms, and contributing to the establishment of rehabilitation medical performance evaluation and payment based on DRG and DIP. ConclusionStructured rehabilitation records and data standardization are crucial tools for quality control in rehabilitation. Systematically applying the three reference classifications of the WHO-FICs, and aligning with national medical record and electronic health record specifications, facilitate the development of a standardized rehabilitation record architecture and core dataset. Standardizing rehabilitation care pathways based on the ICF methodology, and developing ICF- and ICD-11-based rehabilitation assessment tools, auxiliary diagnostic and therapeutic systems, and supporting terminology and coding systems, can effectively enhance the quality of rehabilitation records and enable interoperability and sharing of rehabilitation data with other medical data, ultimately improving the quality and safety of rehabilitation services.

ObjectiveTo explore the data standard system of electronic medical records in the field of rehabilitation, focusing on the terminology and coding standards, data structure, and key content categories of rehabilitation electronic medical records. MethodsBased on the Administrative Norms for the Application of Electronic Medical Records issued by the National Health Commission of China, the electronic medical record standard architecture issued by the International Organization for Standardization and Health Level Seven (HL7), the framework of the World Health Organization Family of International Classifications (WHO-FICs), Basic Architecture and Data Standards of Electronic Medical Records, Basic Data Set of Electronic Medical Records, and Specifications for Sharing Documents of Electronic Medical Records, the study constructed and organized the data structure, content, and data standards of rehabilitation electronic medical records. ResultsThe data structure of rehabilitation electronic medical records should strictly follow the structure of electronic medical records, including four levels (clinical document, document section, data set and data element) and four major content areas (basic information, diagnostic information, intervention information and cost information). Rehabilitation electronic medical records further integrated information related to rehabilitation needs and characteristics, emphasizing rehabilitation treatment, into clinical information. By fully applying the WHO-FICs reference classifications, rehabilitation electronic medical records could establish a standardized framework, diagnostic criteria, functional description tools, coding tools and terminology index tools for the coding, indexing, functional description, and analysis and interpretation of diseases and health problems. The study elaborated on the data structure and content categories of rehabilitation electronic medical records in four major categories, refined the granularity of reporting rehabilitation content in electronic medical records, and provided detailed data reporting guidance for rehabilitation electronic medical records. ConclusionThe standardization of rehabilitation electronic medical records is significant for improving the quality of rehabilitation medical services and promoting the rehabilitation process of patients. The development of rehabilitation electronic medical records must be based on the national and international standards. Under the general electronic medical records data structure and standards, a rehabilitation electronic medical records data system should be constructed which incorporates core data such as disease diagnosis, functional description and assessment, and rehabilitation interventions. The standardized rehabilitation electronic medical records scheme constructed in this study can support the improvement of standardization of rehabilitation electronic medical records data information.