ObjectiveTo systematically evaluate the application of narrative education in undergraduate nursing teaching， to understand the current application status of narrative education， and to provide a theoretical basis for the subsequent establishment of a sound narrative education system. MethodsA systematic search was conducted for studies published in Chinese and English databases on applying narrative education to undergraduate nursing teaching， with the search period ranging from database inception to February 23， 2025. Literature was screened， and relevant information was extracted. A rigorous quality evaluation was conducted on the included studies， and a descriptive analysis was performed on their content. ResultsA total of 20 papers were included， involving 3，180 research subjects， all of whom were undergraduate nursing students. The results of descriptive analysis showed that the teaching model of narrative education primarily encompassed reading narrative works， watching films and videos， performing narrative scenarios， and writing reflective journals. The course setting and content covered pre-teaching preparation and in-teaching implementation. The evaluation of teaching effectiveness included the evaluation of teachers’ teaching methods （student evaluation/self-evaluation） and the evaluation of students’ learning effectiveness （course grade evaluation/humanistic care scale/empathy scale assessment， and others）. ConclusionNarrative education combines abstract concepts with concrete clinical situations， which not only enriches students’ learning experiences but also enhances their humanistic literacy. Meanwhile， it provides teachers with opportunities to develop their narrative teaching skills， which requires them to possess profound professional knowledge and employ narrative techniques to guide students in reflection and critical thinking， thereby improving teaching quality and learning outcomes. Future efforts should consistently deepen the connotation research of narrative education and build a systematic nursing education system.

Objective To evaluate the feasibility and safety of Remodeling+Ring (modified Yacoub) for patients with aortic root aneurysm. Methods The clinical data of patients who underwent modified Yacoub surgery at West China Hospital of Sichuan University from July 2020 to May 2023 were retrospectively analyzed. Results Four male patients were enrolled, with an average age of (47.3±10.3) years and body surface area of (1.9±0.2) m2. One patient had bicuspid aortic valve. Aortic valve regurgitation was mild in three patients and moderate in one patient. Preoperative New York Heart Association (NYHA) heart function was gradeⅠin one patient and gradeⅡin three patients. The maximum diameter of the aortic sinus was (59.3±8.1) mm. All four patients recovered and were discharged without a second thoracotomy. No postoperative complications such as brain injury, infection, respiratory failure or renal insufficiency occurred. During the follow-up of (17.0±13.1) months, two patients showed no regurgitation of the aortic valve, two patients exhibited mild regurgitation. Three patients had a heart function of gradeⅠ and one patient of gradeⅡ. Conclusion Modified Yacoub technique is safe and effective for patients with aortic root aneurysm.

Kui was first recorded in The Rites of Zhou and is the earliest domesticated wild vegetable in China. In the Qi Min Yao Shu, Kui was called “the master of all vegetables” and has a long history of application in China. As a medicine, Kuizi was first recorded in Shen Nong’s Herbal Classic, which has a history of more than 2 000 years of medicinal use and a long history of clinical application. By researching the ancient and modern herbal literature, the first herbs texts of Kui were examined, various recorded texts, confused products and the history of the original medicinal use were clarified. It was concluded that the ancient herbal texts recorded the base plant of Kui as Malva verticillata L. belonging to family Malvaceae, which provided scientific basis for the development and utilization of Kui.

ObjectiveThe malaria parasites remodel the host erythrocyte structure by exporting parasite proteins that interact with the membrane skeleton proteins of red blood cells (RBCs), facilitating their intracellular survival and pathogenicity. Skeleton-binding protein 1 (SBP1) is a conserved exported protein across Plasmodium species. In Plasmodium falciparum, SBP1 has been reported to interact with erythrocyte membrane skeleton proteins 4.1R and spectrin, while its contribution to erythrocyte remodeling and parasite virulence in Plasmodium berghei (Pb) remains unclear. This study aims to determine whether PbSBP1 associates with the host cytoskeletal protein 4.1R and to investigate its role in the remodeling of host RBCs and the pathogenicity of Plasmodium berghei. MethodsIn Plasmodium berghei, the relationship between PbSBP1 and the erythrocyte cytoskeletal protein 4.1R was examined using co-immunoprecipitation. A Pbsbp1 gene knockout mutant of Plasmodium berghei (Pbsbp1∆) was generated based on the principle of double crossover homologous recombination. The deformability of erythrocytes infected with Pbsbp1∆ parasites was assessed using microfluidic methods. Microchannels with an array of cylindrical pillars were used to detect modifications in infected RBC deformability. The infected RBCs were squashed between the rows and recovered between the columns and the transit velocity (μm/s) of infected RBCs travelling through the microchannel was recorded. The component of the erythrocyte membrane skeleton junctional complex, tropomodulin (TMOD), was fluorescently labeled, and the cytoskeletal network of infected erythrocytes was imaged using super-resolution stochastic optical reconstruction microscopy (STORM) to analyze ultrastructural changes in the cytoskeleton of wild-type (WT) and Pbsbp1∆-infected erythrocytes. Actin-based junctional complexes were displayed as individual clusters by the labeled TMOD in the STORM images, and the cluster densities and distances between adjacent clusters of infected RBCs were calculated. Additionally, rodent malaria models (BALB/c mice) and experimental cerebral malaria models (C57BL/6 mice) were employed to monitor the growth of Pbsbp1∆ and WT parasites during the intraerythrocytic stage and their capacity to induce cerebral malaria in mice. ResultsPbSBP1 may participate in the remodeling of infected erythrocytes through direct or indirect interaction with the erythrocyte cytoskeletal protein 4.1R. Microfluidic assays revealed that the deformability of erythrocytes infected with Pbsbp1∆ parasites was significantly enhanced compared to those infected with WT parasites. STORM imaging further demonstrated that the ultrastructure of the erythrocyte cytoskeleton in Pbsbp1∆-infected cells was altered relative to that in WT-infected erythrocytes. The distances between nearest neighbors of clusters had a tendency to increase while the cluster densities were decreased in Pbsbp1∆-infected RBCs compared to WT-infected RBCs. Subsequent phenotypic analysis indicated that the growth rate of Pbsbp1∆ parasites during the intraerythrocytic stage was significantly slower than that of WT parasites, and their ability to induce cerebral malaria in mice was also attenuated. These findings suggest that PbSBP1 is involved in the remodeling of the erythrocyte membrane skeleton, likely through its direct or indirect interaction with protein 4.1R, thereby regulating the deformability of infected erythrocytes and influencing the pathogenicity of the blood-stage parasites. ConclusionThis study establishes a role for PbSBP1 in host erythrocyte remodeling and parasite virulence, providing new research strategies for the prevention and treatment of malaria.

ObjectiveStroke poses a heavy burden due to its high mortality and morbidity rates. Accurate and real-time detection of lesions is pivotal for prompt clinical intervention and favorable prognosis. Electrical impedance tomography (EIT) and microwave tomography (MWT) have emerged as compelling alternatives for stroke screening, owing to their non-ionizing, non-invasive and portable nature. EIT provides information on tissue conductivity, and MWT offers high sensitivity to changes in dielectric properties. However, single-modality imaging is inherently limited, EIT suffers from low sensitivity to deep-seated tissues and severe ill-posedness of inverse problems, whereas MWT is challenged by strong nonlinearity in inverse scattering and susceptibility to modeling errors. Consequently, the clinical utility of standalone EIT or MWT for stroke diagnosis remains constrained by poor spatial resolution and imaging artifacts. To improve the accuracy and robustness of stroke imaging, a dual-modality fusion conditional denoising diffusion probabilistic model (DM-DDPM) was proposed for high-precision dual-modality image reconstruction. MethodsA dual-encoder network with a symmetric architecture and independently trained parameters was constructed to extract heterogeneous features separately from EIT boundary voltage measurements and MWT scattered field signals. Attentional feature fusion (AFF) is employed to integrate complementary information from the two modalities adaptively, generating robust fused priors that suppress redundant noise while preserving key physical characteristics. Subsequently, the fused priors are embedded into a Transformer-based diffusion model via a cross attention mechanism to guide the reverse denoising process. This approach effectively reduces artifacts and enhances the stability of conductivity distribution reconstruction. Time step embedding is introduced to enable the network to perceive the diffusion stage and further improve the accuracy of noise prediction. ResultsSimulated experiments demonstrated that DM-DDPM significantly outperforms single-modality and multi-modality networks under various noise levels. A head model simulation dataset was constructed based on COMSOL Multiphysics, and tests were carried out under 50 dB, 40 dB and 30 dB signal-to-noise ratio levels. At 30 dB, the average relative error (RE) was below 0.20, while the structural similarity index measure (SSIM) and correlation coefficient (CC) remained above 0.90 and 0.89, respectively. Compared with single-modality and multi-modality networks, artifacts were significantly reduced, lesion edges were clearer, and localization was more accurate. The model maintains high reconstruction quality and strong robustness for single, double, and triple lesions simultaneously. Furthermore, physical experiments were conducted using a 16-electrode EIT system and a 16-antenna MWT system with asynchronous data acquisition. These experiments confirmed the feasibility of the method in real-world scenarios and demonstrated that it can robustly reconstruct simulated lesions despite environmental interference and measurement noise, validating its reliability for practical clinical applications. ConclusionThe proposed method effectively combines complementary dual-modality information with a conditional diffusion model. Low accuracy and poor noise resistance in single-modality imaging were effectively addressed, while the noise amplification issue caused by direct multimodal data fusion was avoided. The proposed algorithm exhibits strong anti-noise interference ability and high imaging stability in both simulation and physical experiments. Precise localization of stroke lesions with different quantities was achieved, providing a high-precision, and practical technical support for clinical stroke detection.

Objective:The aim of this study was to investigate whether the Model for end-stage liver disease-excluding international normalised ratio ( MELD-XI) score whether it can predict the prognosis of patients on veno-arterial extracorporeal membrane oxygenation support.Methods:This study was a retrospective cohort study, which retrospectively included clinical data data of patients using ECMO from January 2015 to December 2023 in Fuwai Huazhong Cardiovascular Disease Hospital. Inclusion criteria: 1. clinical patients using VA-ECMO, excluding VAV-ECMO and VV-ECMO; 2. available laboratory values of blood creatinine and total bilirubin within the first 24 hours of on-boarding; 3. complete basic information of the patients; and 4. age greater than 18 years. Exclusion criteria: 1. patients whose family members abandoned the treatment due to economic reasons; 2. on-boarding time less than 24 hours; 3. patients with incomplete clinical information or patients who did not have a detailed record of general information on VA-ECMO. Using X-tile software, they were divided into MELD-XI score ≤13.9 and MELD-XI score >13.9 groups, and variables with P < 0.05 were included in the binary logistic regression model after using univariate analysis. Results:: Univariate analysis of 940 patients revealed that the MELD-XI score ≤13.9 group compared with the MELD-XI score >13.9 group had a significant difference in the success of machine withdrawal ( χ2=31.812, P<0.001), death while the machine was in operation ( χ2=52.453, P<0.001), death after machine withdrawal ( χ2=4.210, P=0.040), cerebral thrombotic complications ( χ2=4.319, P=0.038), lower extremity thrombotic complications ( χ2=8.789, P=0.003), and CRRT use ( χ2=15.648, P<0.001), length of boarding (Z=-17.786, P<0.001), length of hospital stay (Z=-17.503, P<0.001), and length of ICU stay ( Z=-18.790, P<0.001) were significantly different. Multifactorial binary logistic regression showed that successful machine withdrawal ( OR=2.078, 95% CI:1.158-3.731, P=0.014), death while the machine was running ( OR=0.271, 95% CI:0.144-0.512, P<0.001), CRRT use ( OR=3.227, 95% CI:1.659-6.474, P=0.001), length of hospital stay ( OR=1.138, 95% CI:1.107-1.171, P<0.001), length of boarding ( OR=1.035, 95% CI:1.027-1.043, P<0.001), ICU stay ( OR=1.365, 95% CI:1.278-1.458, P < 0.001) are independent influencing factor for VA-ECMO support patients. Kaplan-Meier curve analysis showed that both in-hospital mortality ( HR=2.167, 95% CI:1.508-3.114, P<0.001) and withdrawal success ( HR=5.353, 95% CI:4.023-7.121, P<0.001) were significantly lower in the MELD-XI score ≤13.9 group than in the MELD-XI score >13.9 group. Conclusions:The MELD-XI score can predict the prognosis of VA-ECMO-supported patients and help clinician doctors to make complex clinical decisions.

Objective To investigate the effects of three common anticoagulants,ethylene diamine tet-raacetic acid-K2(EDTA-K2),sodium citrate and heparin sodium,on the visual characteristics of blood-stains such as patterns and colors.Methods Freshly collected blood samples were treated with EDTA-K2,sodium citrate and heparin sodium respectively,and bloodstain samples were prepared on two ob-jects,acrylic plate and ceramic tile.Bloodstains without anticoagulant treatment were used as the con-trol sample.The drying time,wetting ratio,the number of cracks,the number of fragments,the cen-tral impression area ratio and the mean gray value of bloodstains were observed and recorded.Results Anticoagulants delayed the drying process of bloodstains.At 3.5 h,the wetting ratios of EDTA-K2-,sodium citrate-and heparin sodium-anticoagulated bloodstains on the acrylic plate were 54.80%,56.68%and 60.60%,respectively,which were higher than that of bloodstains without anticoagulant treatment(25.70%).Anticoagulants increased the number of cracks,the number of fragments and the central im-pression area ratio.The changes of these three visual characteristics were most obvious in the sodium citrate-anticoagulated bloodstains,with the crack number of 0.93/mm,the fragment number of 46,and the central impression area ratio of 48.41%after drying.Anticoagulants reduced the mean gray value of bloodstains.Among them,the sodium citrate-anticoagulated bloodstains exhibited the longest time to peak in mean gray value,reading 3.5 h.Similar changes in visual characteristics were observed on the ceramic tile.Conclusion The three commonly used anticoagulants change the visual characteristics of bloodstains.It is not recommended to use anticoagulated blood as a substitute for preparing experimen-tal samples in bloodstain pattern analysis experiments.Based on the changes in the visual characteris-tics during the drying process of bloodstains,the time of bloodstain deposition can be roughly esti-mated,and the blood scene staged with anticoagulated blood can be identified.

Objective To detect the expression changes of citrullinated histone H3(CitH3)during the development of deep vein thrombosis(DVT)in mice,and to explore its value in estimating the time to thrombosis.Methods The inferior vena cava(IVC)of mice was ligated to establish a thrombosis model induced by congestion.Mice were sacrificed under excessive anesthesia at 0 h,1 d,3 d,5 d,7 d,10 d,14 d and 21 d after the modeling,respectively.The congested IVC segments(0 h after modeling)and the thrombosed IVC segments(1-21 days after modeling)were extracted.Immunohistochemistry and double immunofluorescence staining were used to observe the number of neutrophils and the ex-pression of CitH3 during thrombosis.Western blotting was used to detect the protein expression level of CitH3.Results During thrombosis,CitH3 was mainly expressed in neutrophils within the thrombus.A small number of neutrophils and a few CitH3-positive cells were observed at 0 h after modeling in the congested IVC.Between 1 d and 21 d after modeling,the number of neutrophils reached a peak at 1 d and gradually decreased.The number of CitH3-positive cells and their ratio to neutrophils began to increase at 1 d,reached a peak at 5 d after modeling,and then decreased.The expression level of CitH3 protein began to increase at 1 d and reached a peak at 5 d after modeling.Conclusion The expres-sion of CitH3 during DVI shows temporal changes,and is expected to become a biological marker for estimating the formation time of thrombosis.

Objective To explore the relationship between systemic immune-inflammation index(SII),red blood cell distribution width(RDW),25-hydroxy-vitamin-D[25(OH)D]levels and frailty index in elderly pa-tients with type 2 diabetes mellitus(T2DM).Methods A total of 197 elderly patients with T2DM admitted to the hospital from March 2023 to March 2024 were collected as the research subjects.The patients were divided into the frailty group(106 cases)and the non-frailty group(91 cases)according to the scores of the clinical frailty scale.The clinical data and the levels of SII,RDW and 25(OH)D of the two groups were compared.Pearson correlation analysis was used to analyze the correlations between the levels of SII,RDW and 25(OH)D and the frailty index of elderly patients with T2DM.Logistic regression was used to analyze the influencing factors of frailty in elderly patients with T2DM.Results Compared with the non-frailty group,the proportion of women,the history of falls within 1 year,and the age of the frailty group increased,while the body mass in-dex and the proportion of men decreased,and the differences were statistically significant(P＜0.05).The SII and RDW levels in the non-frailty group were lower than those in the frailty group,and the 25(OH)D level was higher than that in the frailty group,and the differences were statistically significant(P＜0.05).Pearson correlation analysis showed that SII and RDW levels were positively correlated with frailty index,and 25(OH)D level was negatively correlated with frailty index in elderly T2DM patients(P＜0.05).Logistic regression analysis showed that female,age ≥ 74.25 years old,SII≥ 938.36,RDW≥ 15.19％,and 25(OH)D≥48.42 nmol/L were independent risk factors for frailty in elderly T2DM patients(P＜0.05).Conclusion The levels of SII,RDW and 25(OH)D in elderly patients with T2DM are related to the frailty index.

With the rapid development of artificial intelligence and machine learning algorithms in the med-ical field,as well as the high-quality development requirements put forward by the state for hospitals and vari-ous departments,the development of laboratory medicine shows a new trend.The development of clinical labo-ratory has evolved from the initial test suite to the test pathway based on clinical pathway and diagnosis-relat-ed groups payment,and then to clinical laboratory omics.Clinical laboratory omics refers to the use of high-throughput methods to obtain a large number of laboratory project results data.Combined with the clinical characteristics of patients,statistical methods and machine learning algorithms are commonly used to reveal the information behind a large number of medical data to assist clinicians in diagnosis and treatment.Clinical laboratory omics may be a new trend in the future development of laboratory medicine,and it is likely to play an important role in the field of laboratory medicine.