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.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Objective To analyze the association between lifestyle and the risk of type 2 diabetes(T2D)among adult residents.Methods The data was sourced from the Shanghai Suburban Adult Cohort and Biobank.A total of 42 096 adult residents who had not developed T2D were recruited from four districts of Shanghai(Songjiang,Jiading,Minhang,and Xuhui)between 2016 and 2019.The follow-up ended on Feb 28,2023.A structured questionnaire was used to collect information on six lifestyle-related items,including smoking,alcohol consumption,BMI,waist circumference(WC),physical activity,and diet.The unhealthy lifestyle scores(UHLS)were calculated by counting the number of all the unhealthy lifestyle items,with a range of 0-6.New-onset T2D events diagnosed by physicians were obtained through the medical information system.Cox proportional hazards regression model and restricted cubic spline model were utilized to evaluate the association between unhealthy lifestyles and the risk of T2D incidence.Results About 28.1%of the participants led 4-6 unhealthy lifestyles.A total of 1 752 new T2D cases were identified during 218 513.4 person-years of follow-up.Analysis of single unhealthy lifestyle showed that abnormal WC(HR=1.5,95%CI:1.4-1.7)and abnormal BMI(HR=1.3,95%CI:1.2-1.5)were associated with an increased risk of T2D.Compared with individuals with a UHLS of 0-1,those with a UHLS of 3 and 4-6 had 30%(95%CI:1.1-1.6)and 50%(95%CI:1.2-1.8)higher risks of T2D,respectively.Each additional unhealthy lifestyle was associated with a 10%increase in T2D incidence risk(HR=1.1,95%CI:1.1-1.2).Conclusion The risk of T2D in adult residents increases with the cumulative number of unhealthy lifestyles.Adult residents with abnormal WC or BMI,or have three or more unhealthy lifestyles accumulated,will increase the risk of new-onset T2D.

Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1％(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5％,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3％(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1％)were isolated from sputum and respiratory secretions,followed by urine(10.7％)and blood samples(8.1％).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1％.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4％in the patients＜18 years old to 20.6％in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.

Objective:To understand the potential characteristics of decision-making preparation in outpatient hypertensive patients based on latent profile analysis, to identify the influencing factors of different categories of decision-making preparation levels, and to explore the performance of different decision-making preparation types in facilitation of patients involvement in treatment decision-making.Methods:Through a cross-sectional study, 350 hypertensive patients attending outpatient clinics in five different types of healthcare institutions (general hospitals, specialised hospitals and community hospitals) in Tianjin during January to May 2024 who met the inclusion and exclusion criteria were selected by the convenience sampling method as study subjects. General Information Questionnaires, Preparation for Decision Making Scale, and Facilitation of Patient Involvement Scale were used for investigation.Results:Totally 350 valid questionnaires [178 males and 172 females aged 25-89(57.24 ± 13.39)years old] were collected. The decision-making preparation score of outpatient hypertensive patients was (64.19 ± 18.69). The latent profile analysis results showed that the decision-making preparation of outpatient hypertensive patients could be divided into three potential categories: decision-making information scarcity type accounted for 20.0%(70/350), decision-making balance negotiation type accounted for 39.7%(139/350), and decision-making preparation adequacy type accounted for 40.3%(141/350). The results of multiple Logistic regression analysis showed that age, medical insurance type, occupation, and children′s condition were the influencing factors for the potential categories of decision-making preparation in outpatient hypertensive patients (all P<0.05). Age [less than 35 years old: OR(95% CI)=0.127(0.020-0.796)], occupation [on the job: OR(95% CI)=2.010 (1.034-3.906)], were the influencing factors of decision-making balance negotiation group (all P<0.05). Medical insurance type [basic medical insurance for urban employees: OR(95% CI)=0.372(0.193-0.720)], occupation [on the job: OR(95% CI)=2.500(1.270-4.920)], children′s condition[junior and senior high school: OR(95% CI)=0.391(0.190-0.802)] were the influencing factors of decision-making preparation adequacy group (all P<0.05). Conclusions:The level of promoting patient participation among outpatients with hypertension is relatively high, and there are differences in the perceived degree of promoting patient participation among patients with different types of decision preparation.It is recommended that medical staff provide decision-making related information based on the characteristics of different decision-making preparation categories of patients, encourage patients to actively participate in decision-making, and construct targeted decision support plans.

Objective:To explore the effect of recombinant human brain natriuretic peptide(rhBNP)combined with dopamine on cystatin C(CysC),homocysteine(Hcy)and cardiac function in patients with severe heart failure(HF).Methods:This randomized controlled study enrolled 110 severe HF patients admitted in Aerospace Center Hospital between December 2021 and December 2022.They were divided into control group(n=55,nitroglycerin combined dopamine)and combined treatment group(n=55,rhBNP combined dopamine).Each group received corresponding therapy based on basic treatment for one week.Therapeutic effect,levels of CysC,Hcy,left ventric-ular end-systolic diameter(LVESd),left ventricular end-diastolic diameter(LVEDd),left ventricular ejection fraction(LVEF),and incidence of adverse reactions were compared between two groups.Results:Compared with patients in control group,those in combined treatment group had significant higher total effective rate(81.82％vs.58.18％)and LVEF[(54.68±4.59)％vs.(44.79±4.37)％],and significant lower CysC[(1.02±0.19)mg/L vs.(1.40±0.21)mg/L],Hcy[(15.98±2.17)μmol/L vs.(21.05±2.82)μmol/L],LVESd[(35.13±3.51)mm vs.(41.71±3.28)mm]and LVEDd[(41.33±4.26)mm vs.(50.51±4.37)mm](P＜0.01 all).There was no significant difference in total incidence of adverse reactions between two groups(16.36％vs.7.27％,P=0.180).Conclusion:rhBNP combined with dopamine could significantly improve the clinical therapeutic effect,im-prove levels of CysC,Hcy and cardiac function with good safety in the treatment of severe HF.

Creutzfeldt-Jakob disease(CJD)is a rapidly progressive and fatal neurodegenerative disorder caused by prions,with certain infectivity and iatrogenic transmission risks.With the rapid progress and application of new dia-gnostic biomarkers and detection methods,as well as the construction and improvement of surveillance and reporting systems,the detection of CJD in patients domestically and internationally has shown an increasing trend year by year.Due to its long incubation period and heterogeneity of early symptoms,early identification and diagnosis of the disease is difficult,increasing the risk of transmission within medical institutions.Currently,there is a lack of con-sensus on the infection prevention and control of CJD.In order to timely identify and diagnose CJD as well as effec-tively block its transmission in medical institutions,this consensus summarizes 15 clinical concerns and formulates 24 specific recommendations based on the latest domestic and international research findings and clinical evidence,as well as combines with clinical practice,aiming to standardize healthcare-associated infection prevention and control measures for CJD and reduce its transmission risk in medical institutions.

Objective:To analyze the clinical and ultrasonographic characteristics of papillary thyroid carcinoma(PTC)and explore their correlation with cervical lymph node metastasis(CLNM),thereby constructing a nomogram pre-diction model for assessing the risk of CLNM in PTC.Methods:A total of 553 patients(corresponding to 553 nod-ules)with papillary thyroid carcinoma(PTC),confirmed by postoperative pathology,who underwent ultrasonography and had complete clinical data at the Second Hospital of Shandong University between December 2019 and December 2022,were included.228 patients(228 nodules)hadcervical lymph node metastasis,and 325 patients(325 nodules)were without cervical lymph node metastasis.All patients were categorized into metastasis and non-metastasis groups based on the presence or absence of cervical lymph node metastasis.These groups were then randomly di-vided into training and validation sets in a 7:3 ratio.Differences in clinical and ultrasonographic characteristics between the two groups were compared,and a nomogram was constructed.Results:Univariate analysis revealed statistically significant differences between the metastasis group and the non-metastasis group in terms of age,presence of Hashimoto's thyroiditis,multifocality,taller-than-wide shape,calcification,capsular contact,and blood flow(P<0.05).Logistic regression analysis in the training set indicated that age,presence of Hashimoto's thyroiditis,multifocality,taller-than-wide shape,calcification,and blood flow were associated with lymph node metastasis in papillary thyroid carcinoma(PTC)(P<0.05).These indicators were incorporated into a nomogram model,which demonstrated high predictive performance,good calibration,and significant clinical utility in both the training and validation sets.Conclu-sion:The nomogram prediction model,constructed based on clinical and ultrasonographic features,effectively predicts the risk of cervical lymph node metastasis(CLNM)in patients with papillary thyroid carcinoma(PTC).Patients who were older,had concomitant Hashimoto's thyroiditis,or exhibited a nodule aspect ratio≥1 were less likely to have concurrent CLNM.Conversely,patients presenting with multiple nodules,nodules with microcalcifications,or nodules demonstrating central or rich/peripheral vascularity were more likely to have concurrent CLNM.

Protein-protein interactions play an extremely important role in the biochemical functions of cells,and in-depth analysis of protein interactions is the key to understanding cellular life activities.In this study,we systematically mined the interacting proteins of Golgi protein 73(GP73)using classical immunoprecipitation combined with mass spectrometry,and sought to further analyze the molecular func-tion of GP73.Hepatocellular carcinoma cell line HepG2 was selected,and a stable cell line overexpress-ing GP73-3Flag was constructed using lentiviral infection technology.A total of 78 high-confidence GP73 interacting proteins were identified by immunoprecipitation coupled with mass spectrometry.Bioinformat-ics analyses suggested that GP73 interacted with nearly 40 cytosolic proteins and participated in the bio-logical processes of RNA transport,splicing,and translation.Further immunofluorescence and cytosolic protein isolation experiments confirmed the cytosolic localization of GP73 in a variety of tumor cells.Based on the 78 interacting proteins,we further screened protein interaction networks related to mRNA splicing and verified the existence of interactions between GP73 and seven proteins,including HNRN-PH3,SMN1,RBM14,andNCBP1,by co-immunoprecipitation experiments.In addition,minigene spli-cing assay results indicated that GP73 inhibited the splicing efficiency of pre-mRNA by cells.This study contributes to the expansion of knowledge regarding the function of GP73 and aids in elucidating its criti-cal role in cell biology and its potential association with diseases.

Creutzfeldt-Jakob disease(CJD)is a rapidly progressive and fatal neurodegenerative disorder caused by prions,with certain infectivity and iatrogenic transmission risks.With the rapid progress and application of new dia-gnostic biomarkers and detection methods,as well as the construction and improvement of surveillance and reporting systems,the detection of CJD in patients domestically and internationally has shown an increasing trend year by year.Due to its long incubation period and heterogeneity of early symptoms,early identification and diagnosis of the disease is difficult,increasing the risk of transmission within medical institutions.Currently,there is a lack of con-sensus on the infection prevention and control of CJD.In order to timely identify and diagnose CJD as well as effec-tively block its transmission in medical institutions,this consensus summarizes 15 clinical concerns and formulates 24 specific recommendations based on the latest domestic and international research findings and clinical evidence,as well as combines with clinical practice,aiming to standardize healthcare-associated infection prevention and control measures for CJD and reduce its transmission risk in medical institutions.