ObjectiveTo evaluate the effects and safety of the optimized new Shengmai Powder （优化新生脉散方） on exercise tolerance in patients with chronic heart failure （CHF） of qi deficiency， blood stasis， and fluid retention syndrome. MethodsA randomized， double-blind， placebo-controlled trial was conducted. A total of 78 CHF patients with qi deficiency， blood stasis， and fluid retention syndrome were recruited and randomly assigned to a treatment group （39 cases） and a control group （39 cases）. On the basis of conventional western medical therapy， patients in the treatment group additionally received the optimized new Shengmai Powder granules， while the control group was given an oral placebo of optimized new Shengmai Powder granules. Patients in both groups took 30.6 g each time， twice a day， mixed with water for administration， with a total treatment course of 4 weeks. The primary outcomes were 6-minute walk distance （6MWD） and peak oxygen uptake （Peak VO₂） measured by cardiopulmonary exercise testing. Secondary outcomes included New York Heart Association （NYHA） functional classification， B-type natriuretic peptide （BNP） levels， cardiac function indexes including left ventricular ejection fraction （LVEF）， left ventri-cular end-systolic diameter （LVESD） and left ventricular end-diastolic diameter （LVEDD）， Minnesota Living with Heart Failure Questionnaire （MLHFQ） scores， and scores of four diagnostic information of traditional Chinese medicine （TCM）. All indicators were assessed once before and after treatment respectively. Safety indicators were evaluated， and adverse events during the trial were recorded. ResultsAll patients in both groups were included in the full ana-lysis set （FAS） and safety set （SS）. Compared with baseline， the 6MWD and Peak VO₂ of cardiopulmonary exercise test in the treatment group significantly increased after treatment， while the MLHFQ scores， serum BNP levels and scores of TCM four diagnostic information significantly decreased， and the NYHA cardiac function grade significantly improved （P＜0.01）. After treatment， the 6MWD and Peak VO₂ of cardiopulmonary exercise test， as well as their changes from baseline in the treatment group were higher than those in the control group； the MLHFQ scores， serum BNP levels and scores of TCM four diagnostic information in the treatment group were lower than those in the control group； and the improvement of NYHA cardiac function grade in the treatment group was superior to that in the control group （P＜0.01）. There was no statistically significant differences in all indicators after treatment in the control group （P＞0.05）. The incidence of adverse events was 5.1% （2/39） in the treatment group and 2.6% （1/39） in the control group， with no statistically significant difference between groups （P＞0.05）. ConclusionOn the basis of conventional western medicine treatment， the addition of the optimized new Shengmai Powder can further improve exercise tolerance， cardiac function and quality of life in patients with CHF of qi deficiency， blood stasis and fluid retention syndrome， and show good safety.

Objective To investigate the influence of plasma infusion during orthotopic liver transplantation on the incidence of acute kidney injury (AKI) in recipients. Methods Cinical data of 473 liver transplant recipients who underwent orthotopic liver transplantation at Beijing Chaoyang Hospital Affiliated to Capital Medical University from January 2016 to December 2020 were retrospectively collected. The study included 354 recipients who received plasma infusion during the operation (plasma group) and 119 recipients who did not receive plasma infusion during the operation (control group). Preoperative conditions, donor conditions, intraoperative conditions, main outcome indicators and secondary outcome indicators of the two groups were analyzed and compared. Receiver operating characteristic curve was drawn to calculate the maximum cut-off value of intraoperative plasma infusion volume that affected the occurrence of AKI within 7 days after surgery. Logistic regression analysis was performed to analyze the correlation between intraoperative plasma infusion volume and the incidence of AKI within 7 days after surgery. Results Before propensity score matching, the incidence of AKI within 7 days after surgery and the incidence of grade Ⅲ AKI in the plasma group were higher than those in the control group (both P<0.05). After propensity score matching, 62 recipients were included in each group. There was no statistically significant difference in the incidence of AKI within 7 days after surgery between the plasma group and the control group, but the incidence of grade Ⅲ AKI within 7 days after surgery in the plasma group was higher than that in the control group (P=0.041). Logistic regression analysis showed that intraoperative plasma infusion volume >900 mL was a potential risk factor for AKI within 7 days after surgery (odds ratio=1.936, 95% confidence interval 1.193-3.142, P=0.007). There were no statistically significant differences in the incidence of 365-day postoperative fatality, reperfusion syndrome, and postoperative 30-day complications between the two groups before and after propensity score matching. In addition, the postoperative albumin, fibrinogen levels, and international normalized ratio in the plasma group were better than those in the control group before and after matching (all P<0.05). Conclusions Large amount of intraoperative plasma infusion is associated with an increased risk of grade Ⅲ AKI after orthotopic liver transplantation. Intraoperative plasma infusion volume >900 mL may increase the risk of AKI within 7 days after surgery.

Objective To systematically analyze the characteristics of the disease burden of hypertensive heart disease (HHD) in the elderly (≥60 years) globally and in China from 1990 to 2021, and to predict its future trends from 2022 to 2040, with the aim of providing data support for optimizing comprehensive prevention and control strategies for HHD. Methods Based on the Global Burden of Disease (GBD) 2021 database, the number of prevalent cases and disability-adjusted life years (DALYs) of HHD in the elderly were extracted for the world, China, and five regions categorized by sociodemographic index (SDI). Joinpoint regression was used to analyze the temporal trends of age-standardized prevalence rate and age-standardized DALYs rate of HHD in the elderly. A three-factor decomposition method was applied to evaluate the relative contributions of aging, population growth, and epidemiological changes to the variations in the elderly HHD burden. Additionally, a Bayesian age-period-cohort model was used to predict the elderly HHD burden from 2022 to 2040. Results In 2021, the number of prevalent elderly HHD cases reached 10 283 000 globally and 3 412 400 in China, representing increases of 179.20% and 159.20% respectively, compared with 1990. The DALYs of elderly HHD were 18 812 700 person-years globally and 4 731 400 person-years in China, rising by 76.08% and 29.45% respectively from 1990. Meanwhile, the growth rates of the number of prevalent cases and DALYs of elderly HHD varied across different SDI regions. From 1990 to 2021, the age-standardized prevalence rate of elderly HHD in China, as well as the age-standardized DALYs rate of elderly HHD both globally and in China, showed significant downward trends (all average annual percentage changes<0, all P<0.001). In 2021, the 70-74 years age group accounted for the highest proportion of prevalent cases and DALYs of elderly HHD, both globally and in China. Decomposition analysis revealed that population growth was the dominant factor driving the increase in the elderly HHD burden across all regions. The prediction model results indicated that the number of prevalent cases and DALYs of elderly HHD would continue to rise globally and in China from 2022 to 2040, with the growth rate of the elderly HHD burden in China between 2021 and 2040 expected to exceed the global average. Conclusion Over the past 32 years, although the age-standardized disease rates of elderly HHD have mainly shown a downward trend globally and in China, the absolute number of the disease burden has increased substantially. The projection model indicates a continued upward trajectory, with the growth rate in China higher than the global average. Therefore, there is an urgent need to implement precise prevention and control strategies to effectively mitigate the disease burden of elderly HHD.

ObjectiveTo evaluate the detection specificity for clinical samples and the detection capability for standard substances of five commercially available multiplex polymerase chain reaction (PCR) nucleic acid detection kits (hereinafter referred to as the kits) for respiratory pathogens, and to provide a reference for selecting appropriate detection kits for multi-pathogen nucleic acid testing of respiratory infections. MethodsA total of 60 respiratory pathogen-positive clinical samples with known redults were selected and tested using the five kits (labeled as A, B, C, D, and E). The detection rates and Kappa coefficients were calculated to evaluate the consistency between the results from these kits and those from single-pathogen PCR kits. According to the limit of detection (LOD) provided by the kits, standard substances of respiratory pathogens (including 12 types such as influenza virus, Mycoplasma pneumoniae, and Bordetella pertussis) were diluted to four concentrations (250, 500, 1 000, and 2 000 copies·mL⁻¹). All five kits were used for detection to evaluate their respective detection capabilities. ResultsCompared with the results from single-pathogen PCR kits, the five tested kits demonstrated good consistency (all Kappa >0.80). Among them, Kit A had the highest detection rate (100.00%), followed by Kits C and E (98.33%), and then Kits B and D (95.00%). All five kits showed a relatively low false negative rate (FNR) for samples with a cycle threshold (Ct) value ≤35 (≤2.38%). However, for samples with Ct values>35, the FNR increased accordingly(average FNR=6.67%, P=0.029). Kit C exhibited the highest detection sensitivity for the tested standard substances (average LOD: 458.33 copies·mL⁻¹), followed by Kit D, then Kits A/E, and finally Kit B. ConclusionThe five multiplex PCR kits showed good consistency with single-pathogen detection results, but each had its own performance emphasis. Kit A, with the highest detection rate and high throughput, is suitable for targeted viral screening. Kit B, covering the broadest pathogen spectrum (including fungi/bacteria), is suitable for comprehensive respiratory pathogen screening. Kits C, D and E, are applicable for rapid detection. It is important to note that the detection efficacy of all kits decreases for low viral load samples with Ct values >35. In practical application, selection should be based on specific screening objectives, throughput requirements, and sample types.

Osteoarthritis (OA), a highly prevalent degenerative joint disease worldwide, is defined by articular cartilage degradation, abnormal bone remodeling, and persistent chronic inflammation. It severely compromises patients’ quality of life, and currently, there is no radical cure. Abnormal mechanical stress is widely regarded as a core driver of OA pathogenesis, and the exploration of mechanical signal perception and transduction mechanisms has become crucial for deciphering OA’s pathophysiological processes. Piezo1, a key mechanosensitive cation channel belonging to the Piezo protein family, has recently gained significant attention due to its pivotal role in mediating cellular responses to mechanical stimuli in joint tissues. This review systematically examines Piezo1’s expression patterns, regulatory mechanisms, and pathological functions in OA, with a particular focus on its dual roles in modulating chondrocyte homeostasis and bone metabolism disorders, while also delving into the underlying molecular signaling pathways and potential therapeutic implications. Piezo1, consisting of approximately 2 500 amino acids and forming a unique trimeric propeller-like structure, is widely expressed in chondrocytes, osteocytes, mesenchymal stem cells, and synovial cells. It exhibits permeability to cations such as Ca²⁺, K⁺, and Na⁺, and directly responds to membrane tension changes induced by mechanical stimuli like fluid shear stress and mechanical overload. In OA patients and animal models, Piezo1 expression is significantly upregulated, especially in cartilage regions subjected to abnormal mechanical stress (e.g., human temporomandibular joint cartilage). This overexpression is closely associated with aggravated cartilage degeneration, increased chondrocyte apoptosis, accelerated cellular senescence, and intensified inflammatory responses. Mechanical overload and pro-inflammatory cytokines (e.g., IL-1β) are key inducers of Piezo1 upregulation: IL-1β activates the PI3K/AKT/mTOR signaling pathway to enhance Piezo1 expression, forming a pathogenic positive feedback loop that inhibits chondrocyte autophagy, promotes apoptosis, and further accelerates joint degeneration. Mechanistically, Piezo1 mediates OA progression through multiple interconnected pathways. When activated by mechanical stress, Piezo1 triggers excessive Ca²⁺ influx, leading to endoplasmic reticulum stress (ERS) and mitochondrial dysfunction, which directly induce chondrocyte apoptosis. This process involves the activation of downstream signaling cascades such as cGAS-STING and YAP-MMP13/ADAMTS5. YAP, a transcriptional regulator, upregulates the expression of matrix metalloproteinase 13 (MMP13) and aggrecanase (ADAMTS5), thereby accelerating cartilage matrix degradation. Additionally, Piezo1-driven Ca²⁺ overload promotes the accumulation of reactive oxygen species (ROS) and upregulates senescence markers (p16 and p21), accelerating chondrocyte senescence via the p38MAPK and NF-κB pathways. Senescent chondrocytes secrete senescence-associated secretory phenotype (SASP) factors (e.g., IL-6, IL-1β), further amplifying joint inflammation. In terms of bone metabolism, Piezo1 maintains joint homeostasis by promoting the differentiation of fibrocartilage stem cells into chondrocytes and balancing bone formation and resorption through regulating the FoxC1/YAP axis and RANKL/OPG ratio. Therapeutically, targeting Piezo1 shows promising potential. Preclinical studies have demonstrated that Piezo1 inhibitors (e.g., GsMTx4) can reduce joint damage and alleviate pain in OA mice. Simultaneously, siRNA-mediated co-silencing of Piezo1 and TRPV4 (another mechanosensitive channel) decreases intracellular Ca²⁺ concentration, inhibits chondrocyte apoptosis, and promotes cartilage repair. Conditional knockout of Piezo1 using Gdf5-Cre transgenic mice alleviates cartilage degeneration in post-traumatic OA models by downregulating MMP13 and ADAMTS5 expression. Despite existing challenges, such as off-target effects of inhibitors, inefficient local drug delivery, and interindividual genetic variability, strategies like developing selective Piezo1 antagonists, optimizing targeted nanocarriers, and combining Piezo1-targeted therapy with physical therapy provide viable avenues for clinical translation. The authors propose that Piezo1 serves as a critical therapeutic target for OA, and future research should focus on deciphering its context-dependent regulatory networks, developing tissue-specific intervention strategies, and validating their efficacy and safety in clinical trials to address the unmet medical needs of OA patients.

Objective: To investigate the relationship between physical development indicators and the onset and progression of myopia among children and adolescents, so as to provide theoretical support for coordinated vision and physical health management. Methods: A prospective cohort study was conducted. In September 2022, 3 102 students from grade one in primary school to grade three in junior high school (five year primary school and four year junior high school) from six schools in Huantai County, Shandong Province, were selected using multistage cluster random sampling method to participate in an epidemiological survey on myopia, with follow up completed in September 2023. Follow up value minus baseline value( d ) was used to assess changes in physical development and vision indicators. Multivariate Logistic regression analysis was used to examine the relationship between physical development indicators and the incidence of myopia. Generalized linear models were established to analyze the relationship between physical development indicators and changes in d spherical equivalent (SE) and d axial length (AL) . Results: Multivariate Logistic regression analysis showed that, after adjusting for factors such as gender, age, and baseline body mass index, the third ( Q 3)and fourth ( Q 4)quartiles of d height showed increased risks of myopia onset within one year compared to the first quartile( Q 1) ( OR =1.85,95% CI =1.18-2.88; OR =1.74,95% CI =1.09-2.78,both P ＜0.05). Results from the generalized linear model indicated that, after adjusting for confounding factors such as gender, age, and baseline SE, d SE was negatively correlated with d height and d weight in children and adolescents ( β =-0.024, 95% CI =-0.031 to -0.018; β =-0.006, 95% CI =-0.011 to -0.001), d AL was positively correlated with d height and d weight in children and adolescents ( β =0.011, 95% CI =0.008-0.013; β =0.005, 95% CI =0.003-0.007) (all P ＜0.05). Conclusions Physical development indicators in children and adolescents were associated with the onset and progression of myopia. Dynamic monitoring and early intervention of myopia should be strengthened for children and adolescents with rapid height and weight gain to achieve coordinated management of myopia and physical development.

ObjectiveTo systematically sort out literatures regarding telemedicine, wearable devices and artificial intelligence in pulmonary rehabilitation for chronic obstructive pulmonary disease (COPD) from 2011 to 2025, to identify the research status, hotspots and development trends. MethodsOriginal articles and reviews published from January 1, 2011 to December 31, 2025 were retrieved from Web of Science Core Collection and Scopus. Bibliometric analyses were performed via VOSviewer, CiteSpace and Scimago Graphica, including annual publication volume, collaboration networks of countries, institutions and authors, co-citation of journals and references, and keyword co-occurrence, clustering and bursting. ResultsA total of 917 literatures were included. The annual number of publications showed a sustained upward trend. The United States and the United Kingdom took the leading position in publication output and academic influence. The University of Toronto was the most productive institution, and Anne E. Holland was the most prolific author. European Respiratory Journal and American Journal of Respiratory and Critical Care Medicine were high-impact journals. COPD, pulmonary rehabilitation, telerehabilitation and telemedicine were high-frequency core keywords. Machine learning, interstitial lung disease, virtual reality and digital health were the bursting keywords in recent years. ConclusionThe researches on digital pulmonary rehabilitation for COPD are increasing continuously in the past 15 years. The research focus has shifted from hospital-based standardized rehabilitation to community home digital rehabilitation centered on patient self-management. Future studies will focus on the deep integration of multiple digital technologies and extension of rehabilitation protocols to other chronic respiratory diseases.

ObjectiveTo develop and validate a diagnostic prediction model for differentiating pulmonary tuberculosis from community-acquired pneumonia based on routine blood parameters. MethodsA total of 642 patients with pulmonary tuberculosis and 503 patients with community-acquired pneumonia were retrospectively enrolled from the Seventh Hospital of Tangshan. They were randomly divided into a training set and an internal validation set at a 7∶3 ratio. Additionally， 218 patients from the 981st Hospital were independently included as an external validation set. The Boruta algorithm and recursive feature elimination were employed to select predictors from 82 blood parameters， sex， and age. A multivariate Logistic regression model was established and evaluated using receiver operating characteristic （ROC） curves， calibration curves， and decision curve analysis. ResultsThe final model incorporated eight predictors， namely uric acid， urea nitrogen， alkaline phosphatase， monoamine oxidase， alanine aminotransferase， glutathione， neutrophil percentage， and age. The model achieved areas under the curve （AUCs） of 0.800 （95%CI： 0.769-0.830）， 0.787 （95%CI： 0.738-0.836）， and 0.736 （95%CI： 0.667-0.835） in the training， internal validation， and external validation sets， respectively. The model demonstrated good calibration， and decision curve analysis showed clinical net benefit within the threshold probability range of 10%-80%. ConclusionThe developed model exhibits good discriminative ability and clinical utility， serving as an effective early screening tool for primary healthcare institutions.