OBJECTIVE To develope a predictive model for medication deviation risks during the hospital-to-home transition period in coronary heart disease （CHD） patients with initial treatment， aiming to assist medical staff in rapidly identifying high-risk groups for medication deviation. METHODS A total of 462 CHD patients with initial treatment from the Affiliated Hospital of North China University of Science and Technology （hereinafter referred to as “our hospital”） between January and July 2024 were enrolled. The patients were randomly divided into a modeling group and an internal validation group. The modeling group was further categorized into a medication deviation group and a non-medication deviation group based on whether medication deviations occurred. Similarly， 57 CHD patients with initial treatment from the cardiology department of our hospital between June and September 2025 were collected as an external validation group. Univariate analysis was used to screen predictive factors， followed by multivariate Logistic regression to construct the predictive model. Internal validation methods were employed to evaluate model performance， while external validation methods were used to test the model’s generalizability. RESULTS The 462 patients were divided into a modeling group （319 cases） and an internal validation group （143 cases）. In the modeling group， the medication deviation group （192 cases， 60.19%） and the non-medication deviation group （127 cases， 39.81%） were identified. Multivariate Logistic regression analysis revealed that age， medication type， medication adherence， and self-efficacy in rational medication use were predictive factors for medication deviations in CHD patients with initial treatment （ P ＜0.05）. The predictive model equation was logit P ＝ln[ P /（1－ P ） ] ＝1.321+1.732×age+4.091×medication type －4.360×medication adherence －3.081×self-efficacy in rational medication use. The model demonstrated good discrimination， with a Hosmer-Lemeshow goodness-of-fit test P -value of 0.439， an area under the receiver operating characteristic curve （AUC） of 0.870， sensitivity of 0.970， and specificity of 0.607. A risk nomogram with a total score of 350 points and a cutoff value of 110 points was plotted. The internal validation group showed an AUC o f 0.787 and a prediction accuracy of 77.6%， while the external validation group exhibited an AUC of 0.802 and a prediction accuracy of 73.7%. CONCLUSIONS This study successfully developed a predictive model for medication deviation risks during the hospital-to-home transition period in CHD patients with initial treatment. The model demonstrates excellent discrimination and predictive accuracy， effectively identifying high-risk populations for medication deviations. Age （＞70 years）， number of drug types≥5， poor medication adherence， and poor self-efficacy in rational medication use are independent risk factors for medication deviations.

Objective To investigate the application value of bedside ultrasound monitoring of quadriceps muscle changes in mechanically ventilated children in the early treatment of ICU-acquired muscle weakness (ICU-AW). Methods Eighty-two pediatric ICU patients with mechanical ventilation for>48 hours were selected. On the day of admission (D₀) and on day 7 (D₇), bedside ultrasound was performed to measure the thickness and cross-sectional area of the rectus femoris and vastus intermedius muscles. Patients were classified using Medical Research Council scores into control group (n = 63) and muscle weakness group (n = 19). Muscle parameters and atrophy rates were compared between groups. Diagnostic performance was assessed using receiver operating characteristic curves. Results The incidence of ICU-AW was 23.17%. At both D₀ and D₇, the average thickness of the rectus femoris, the average thickness of the vastus intermedius, the average area of the rectus femoris, and the average area of the vastus intermedius were significantly different between the two groups (P<0.05). The atrophy rates of the thickness of the rectus femoris and the area of the vastus intermedius were lower in the control group than in the muscle weakness group at both D₀ and D₇ (P<0.05). The area under the receiver operating characteristic curve for quadriceps parameters in diagnosing ICU-AW was 0.871, with a sensitivity of 89.47% and a specificity of 79.37%. Conclusion Bedside ultrasound dynamic monitoring of quadriceps changes enables early identification of ICU-AW and provides a basis for clinical intervention.

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 explore the effectiveness of the generative large language model MedGo in nursing decision-making for elderly patients with multimorbidity. Methods A quasi-randomized controlled trial study was conducted involving 6 junior nurses, 6 senior nurses and the MedGo model from January 1, 2025 to March 31, 2025 at the Emergency Internal Medicine Ward of Shanghai East Hospital Affiliated to Tongji University. Clinical data of 120 elderly patients with multimorbidity were analyzed to compare the performance of the three groups in four tasks (nursing diagnosis assessment, nursing intervention formulation, complication identification, and complication prevention) from three evaluation dimensions: decision-making time consumption, decision accuracy, and decision-making quality. Results In terms of decision-making time, the senior nurse group completed all four tasks faster than the junior nurse group (P＜0.01), and the MedGo group completed all four tasks faster than the junior nurse group (P＜0.001) and the senior nurse group (P＜0.001). In terms of decision-making accuracy, senior nurse group scored higher than junior nurse group in all four tasks (P＜0.001), while the MedGo group outperformed the senior nurse group only in complication identification (P＜0.001). In terms of decision-making quality, the MedGo group scored higher than junior nurse group (P＜0.001) and senior nurse group (P＜0.001) in all four tasks. Conclusions The MedGo model demonstrates advantages of high efficiency, accuracy, and quality in nursing decision-making for elderly patients with multimorbidity; senior nurses outperform junior nurses in decision-making, providing diverse references for clinical nursing decision-making.

OBJECTIVE To evaluate the influence of pharmaceutical quality control on the efficiency and outcomes of standardized medication therapy management （MTM） services for patients with coronary heart disease by using Economic， Clinical and Humanistic Outcomes （ECHO） model. METHODS This study collected case data of coronary heart disease patients who received MTM services during January-March 2023 （pre-quality control implementation group， n＝96） and June-August 2023 （post-quality control implementation group， n＝164）. Using propensity score matching analysis， 80 patients were selected from each group. The study subsequently compared the economic， clinical， and humanistic outcome indicators of pharmaceutical services between the two matched groups. RESULTS There were no statistically significant differences in baseline data between the two groups after matching （P＞0.05）. Compared with pre-quality control implementation group， the daily treatment cost （16.26 yuan vs. 24.40 yuan， P＜0.001）， cost-effectiveness ratio [23.12 yuan/quality-adjusted life year （QALY） vs. 32.32 yuan/QALY， P＜0.001]， and the incidence of general adverse drug reactions （2.50% vs. 10.00%， P＝0.049） of post-quality control implementation group were decreased significantly； the utility value of the EuroQol Five-Dimensional Questionnaire （0.74± 0.06 vs. 0.71±0.07， P＝0.003）， the reduction in the number of medication related problems （1.0 vs. 0.5， P＜0.001）， the medication adherence score （[ 6.32±0.48） points vs. （6.10±0.37） points， P＝0.001]， and the satisfaction score （[ 92.56±1.52） points vs. （91.95±1.56） points， P＝0.013] all showed significant improvements. Neither group experienced serious adverse drug reactions. There was no statistically significant difference in the incidence of new adverse reactions between the two groups （1.25% vs. 3.75%， P＝0.310）. CONCLUSIONS Pharmaceutical quality control can improve the quality of pharmaceutical care， and the ECHO model can quantitatively evaluate the effect of MTM services， making pharmaceutical care better priced and more adaptable to social needs， thus being worthy of promotion.

Objective To evaluate the skeletal effect,dental effect,soft tissue and airway changes of a digital 3D printed maxillary protraction combined with alternate maxillary rapid expansion and constriction in the treatment of skeletal Class Ⅲ patients during mixed dentition.Methods Twenty-two mixed dentition patients(mean age of(11.33±0.88)years,9 males and 13 females)of skele-tal Class Ⅲ malocclusion with maxillary hypoplasia were collected from 2018 to 2023.Treatment was performed using a digital 3D prin-ted protraction device combined with maxillary rapid expansion and constriction.Cone-beam CT were obtained before and after treatment to assess the orthopedic treatment of hard tissue,dentition,soft tissue and airway in three dimensional direction.Results After treat-ment,hard tissue measurements of SNA,ANB,Wits,Co-A,and Co-Gn distance increased significantly with a statistical difference,whereas there were no statistically significant changes in SNB,FMA,Occ plane to FH and Y-axis angle.There was a statistically sig-nificant increase in U1-SN,whereas there was no significant change in U1-NA.Soft tissue measurements of upper lip distance from the E line improved with a statistically significant difference while no significant changes in nasolabial angle were detected.The volume of the posterior palatal region of the upper airway increased significantly.Conclusion The digital 3D printed maxillary protraction com-bined with alternate rapid maxillary expansion and constriction promotes maxillary development,inhibits mandibular development,es-sentially maintains vertical dimension and improves skeletal Class Ⅲ patients'deformity and profile.The volume of the posterior palatal region of the upper airway is also significantly improved.

Objective: To study the effects and potential mechanisms of the aquaporin 1(AQP1) inhibitor acetazolamide(AZ) on the proliferation, apoptosis, and inflammatory response of rheumatoid arthritis(RA) fibroblast-like synoviocytes(FLS). Methods: TNF-α-induced RA-FLS was served as in vitro RA model. MTT assay, IF staining, and EdU incorporation assay were applied to study AZ′s effects on RA-FLS proliferation. Hoechst staining, flow cytometry analysis of Annexin V-FITC/PI-stained cells, and mitochondrial membrane potential detection experiments were used to detect cell apoptosis. ELISA and quantitative real-time PCR methods were used to measure pro-inflammatory cytokine production. Cell autophagy was evaluated using IF staining and mCherry-GFP-LC3B puncta assay. Western blot was performed to detect the levels of autophagy, apoptosis, and proliferation-related proteins. Moreover, the role of autophagy inhibition in AZ′s effects on RA-FLS was examined by co-treating with the autophagy activator rapamycin(RAPA) or the autophagy inhibitor 3-methyladenine(3-MA). Results: AZ dose⁃dependently inhibited cell proliferation , promoted apoptosis , and reduced the production of pro⁃inflammatory cytokines in RA⁃FLS. Furthermore , AZ suppressed cytoprotective autophagy in these cells , as evidenced by decreased LC3B levels ( P < 0. 05 ) , increased p62 expression ( P < 0. 05 ) , and reduced autophagic flux ( P <0. 01) . Particularly , AZ ′s beneficial effects were reversed by RAPA⁃induced autophagy activation and enhanced by 3 ⁃MA⁃induced autophagy inhibition. Conclusion This study provides the first evidence that AZ hinders cytoprotective autophagy , thereby alleviating the hyperproliferation , apoptosis resistance , and aberrant inflammatory response of RA⁃FLS , revealing the core role of autophagy inhibition in AZ ′s anti⁃RA effects.

Stresses induced by the deficiency or excess of trace mineral elements, such as manganese (Mn), represent a common limiting factor for the production of crops like Brassica napus. To identify key genes involved in Mn allocation in B. napus and elucidate the underlying mechanisms, a member of the metal tolerance protein (MTP) family obtained in the previous screening of cDNA library of B. napus under Mn stress was selected as the research subject. Based on the sequence information and phylogenetic analysis, it was named as BnMTP10. It belongs to the Mn-cation diffusion facilitator (CDF) subfamily. Expression of BnMTP10 in yeast significantly improved the tolerance of transformants to excessive Mn and iron (Fe) and reduced the accumulation of Mn and Fe. However, the yeast transformants exhibited no significant changes in tolerance to excess cadmium, boron, aluminum, zinc, or copper. The qRT-PCR results demonstrated that the flowers of B. napus had the highest expression of BnMTP10, followed by roots and leaves. Subcellular localization studies revealed that BnMTP10 was localized in the endoplasmic reticulum (ER). Compared with wild-type plants, transgenic Arabidopsis overexpressing BnMTP10 exhibited enhanced tolerance to excessive Mn stress but showed no significant difference under Fe stress. Correspondingly, under excessive Mn stress, the Mn content in the roots of transgenic Arabidopsis increased significantly. However, under excessive Fe stress, the Fe content in transgenic Arabidopsis did not alter significantly. According to the results, we hypothesize that BnMTP10 may alleviate excessive Mn stress in plants by mediating Mn transport to the ER. This study facilitated our understanding of efficient mineral nutrients, and provided theoretical foundations and gene resources for breeding B. napus.
Brassica napus/genetics* ; Manganese/metabolism* ; Plants, Genetically Modified/genetics* ; Plant Proteins/physiology* ; Arabidopsis/metabolism* ; Gene Expression Regulation, Plant ; Phylogeny ; Cation Transport Proteins/metabolism* ; Stress, Physiological

Objective The study attempted to establish a less invasive model for dissecting and monitoring the sympathetic nerve in rats via a dorsal approach for subarachnoid block-related studies.Methods A traditional abdominal approach model and a new dorsal approach model were established in SD rats,and the modeling time of the two models was observed.The stability of the new model was evaluated by measuring blood pressure(BP),heart rate(HR),percentage change in lumbar sympathetic nerve activity(LSNA change％),norepinephrine(NE),and nitric oxide(NO)content after subarachnoid injection of bupivacaine.Results(1)Building a new model:the time required to create new models for the dorsal approach(DA)group was shorter than that for the traditional abdominal approach(VA)group,as shown by the result(P＜0.0001).(2)Evaluation of the new model:compared with the NS group,the MAP and SBP were lower at T2(5 min after injection of bupivacaine into the subarachnoid space)and T3(10 min)(P＜0.05);the LSNA change％was significantly different(P＜0.05);the concentration of NE was lower at T3(P＜0.05).Conclusions The study presents a novel lumbar sympathetic anatomy model using the dorsal approach for subarachnoid-related investigations,which was effectively employed to examine the impact of subarachnoid block anesthesia on lumbar sympathetic nerve activity.

Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91％of the total clinical isolates and 4.07％of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89％were isolated from children and 33.11％were isolated from adults.More than 90％of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79％in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06％were isolated from children and 19.94％isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0％.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.