Objective This study aimed to apply the integrated Promoting Action on Research Implementation in Health Services(i-PARIHS)framework to translate best evidence into clinical practice,with the goal of reducing unplanned discontinua-tion of continuous renal replacement therapy(CRRT)and providing guidance for clinical staff.Methods A systematic search was conducted for guidelines,systematic reviews,evidence summaries,and expert consensus documents related to unplanned CRRT discontinuation.Retrieved literature underwent quality appraisal,synthesis,and integration.Through evidence-based group discussions,baseline clinical audits,and FAME(Feasibility,Appropriateness,Meaningfulness,Effectiveness)-based evi-dence appraisal,implementation strategies were developed across three i-PARIHS dimensions:context,recipients,and facilita-tion.Outcomes including unplanned CRRT discontinuation rates,average length of hospital stay,mortality,and nurse competen-cy were compared before and after evidence implementation.Results After evidence extraction,synthesis,and contextual adap-tation,a site-specific evidence translation model was established,comprising 16 audit criteria with corresponding review methods.Following implementation,significant reductions were observed in unplanned CRRT discontinuation rates,average length of stay,and mortality(all P＜0.05).Nurses' nursing competency also improved significantly(P＜0.05),indicating a positive impact of the evidence translation initiative.Conclusion The i-PARIHS framework effectively reduces unplanned CRRT discontinuation and is applicable in clinical practice.The results offer evidence for improving nursing quality and offering a reference for future evidence translation initiatives in critical care.

Objective This study aimed to apply the integrated Promoting Action on Research Implementation in Health Services(i-PARIHS)framework to translate best evidence into clinical practice,with the goal of reducing unplanned discontinua-tion of continuous renal replacement therapy(CRRT)and providing guidance for clinical staff.Methods A systematic search was conducted for guidelines,systematic reviews,evidence summaries,and expert consensus documents related to unplanned CRRT discontinuation.Retrieved literature underwent quality appraisal,synthesis,and integration.Through evidence-based group discussions,baseline clinical audits,and FAME(Feasibility,Appropriateness,Meaningfulness,Effectiveness)-based evi-dence appraisal,implementation strategies were developed across three i-PARIHS dimensions:context,recipients,and facilita-tion.Outcomes including unplanned CRRT discontinuation rates,average length of hospital stay,mortality,and nurse competen-cy were compared before and after evidence implementation.Results After evidence extraction,synthesis,and contextual adap-tation,a site-specific evidence translation model was established,comprising 16 audit criteria with corresponding review methods.Following implementation,significant reductions were observed in unplanned CRRT discontinuation rates,average length of stay,and mortality(all P＜0.05).Nurses' nursing competency also improved significantly(P＜0.05),indicating a positive impact of the evidence translation initiative.Conclusion The i-PARIHS framework effectively reduces unplanned CRRT discontinuation and is applicable in clinical practice.The results offer evidence for improving nursing quality and offering a reference for future evidence translation initiatives in critical care.

OBJECTIVE: To propose a diffusion tensor field estimation network based on 3D U-Net and diffusion tensor imaging (DTI) model constraint (3D DTI-Unet) to accurately estimate DTI quantification parameters from a small number of diffusion-weighted (DW) images with a low signal-to-noise ratio. METHODS: The input of 3D DTI-Unet was noisy diffusion magnetic resonance imaging (dMRI) data containing one non-DW image and 6 DW images with different diffusion coding directions. The noise-reduced non-DW image and accurate diffusion tensor field were predicted through 3D U-Net. The dMRI data were reconstructed using the DTI model and compared with the true value of dMRI data to optimize the network and ensure the consistency of the dMRI data with the physical model of the diffusion tensor field. We compared 3D DTI-Unet with two DW image denoising algorithms (MP-PCA and GL-HOSVD) to verify the effect of the proposed method. RESULTS: The proposed method was better than MP-PCA and GL-HOSVD in terms of quantitative results and visual evaluation of DW images, diffusion tensor field and DTI quantification parameters. CONCLUSION The proposed method can obtain accurate DTI quantification parameters from one non-DW image and 6 DW images to reduce image acquisition time and improve the reliability of quantitative diagnosis.
Diffusion Tensor Imaging ; Reproducibility of Results ; Diffusion Magnetic Resonance Imaging ; Algorithms ; Signal-To-Noise Ratio

Objective To explore the genetic mutation spectrum of patients with hypertrophic cardiomyopathy (HCM) and analysis the correlation of genotype phenotype.Methods Collect peripheral venous blood of the 51 cases unrelated HCM patients(35 male and 16 female) in the Beijing Anzhen Hospital of Capital Medical University from 2013 to 2016.Sequence whole exons of human and analysis seven major mutations of HCM including:MYBPC3、MYH7 、TNNT2、TNNI3 、MYL2 、TPM1 and ACTC1.Then compare the results with clinical characteristics.Results 24 patients(47.1％) had 22 kinds of pathogenicity or possibly pathogenicity mutations.The 90.9％ (20/22) of mutations only occurred one time,except MYH7 gene's 663 amino acid and the TNND gene's 157 amino acid which had twice.The mutations of MYBPC3,MYH7,TNNT2,TNNI3,MYL2,TPM1 and ACTC1 accounted for 45.8％ (11/24),20.8％ (5/24),12.5％ (3/24),8.3％ (2/24),8.3％ (2/24),4.2％ (1/24),and 0 respectively.No amphimutation had been found that causes illness or possibly.Through the comparison of clinical features between Genotype positive(24 cases) and negative(27 cases) patients:the incidence of syncope(19.6％ vs.7.8％,P ＜ 0.05),the largest left ventricular wall thickness[(22.8 ± 2.6) mm vs.(20.0 ± 3.4) mm,P ＜ 0.05],family history of HCM(20.8％ vs.0,P ＜0.05),percentage of apical hypertrophy(25.5％ vs.11.8％,P ＜ 0.05);The ratio of left ventricular outflow tract obstruction in MYH7 group was higher than MYBPC3 group (80.0％ vs.18.2％,P ＜ 0.05).Conclusion MYBPC3 is the most common mutation gene in HCM patients.Phenotype is more severe in geuotype positive patients than in genotype negative patients.Relationship between specific gene mutations and clinical phenotype requires further study.