Objective:To construct an evidence-based practice program for dietary management of patients with non-dialysis chronic kidney disease (CKD) based on best evidence and to evaluate the effectiveness of its application.Methods:The best evidence for dietary management of non-dialysis CKD patients was summarized. From September to October 2022, following the evidence clinical transformation model of the Fudan University Centre for Evidence-based Nursing, the best evidence was screened and evidence-based practice program were developed, taking into account patients' wishes, expert opinions, and clinical contexts. From November 2022 through March 2023, baseline reviews, analysis of barriers and facilitators were implemented. Between April 2023 and April 2024, evidence-based practice was carried out in the Department of Nephrology of the Second Affiliated Hospital of Guangzhou Medical University to compare the implementation rate of review indicators at the system, practitioner, and patient levels, and practitioners' knowledge before and after the application of evidence.Results:A total of 14 review indicators were developed. The implementation rate of the 12 review indicators and the practitioners' knowledge of the CKD diet were elevated after the evidence-based practice ( P<0.05) . Conclusions:Evidence-based practice program for dietary management of patients with non-dialysis CKD has a positive effect on improving practitioners' knowledge of non-dialysis CKD diets, implementation rate of dietary management behaviors, and patients' dietary behaviors.

Objective:To construct an evidence-based practice program for dietary management of patients with non-dialysis chronic kidney disease (CKD) based on best evidence and to evaluate the effectiveness of its application.Methods:The best evidence for dietary management of non-dialysis CKD patients was summarized. From September to October 2022, following the evidence clinical transformation model of the Fudan University Centre for Evidence-based Nursing, the best evidence was screened and evidence-based practice program were developed, taking into account patients' wishes, expert opinions, and clinical contexts. From November 2022 through March 2023, baseline reviews, analysis of barriers and facilitators were implemented. Between April 2023 and April 2024, evidence-based practice was carried out in the Department of Nephrology of the Second Affiliated Hospital of Guangzhou Medical University to compare the implementation rate of review indicators at the system, practitioner, and patient levels, and practitioners' knowledge before and after the application of evidence.Results:A total of 14 review indicators were developed. The implementation rate of the 12 review indicators and the practitioners' knowledge of the CKD diet were elevated after the evidence-based practice ( P<0.05) . Conclusions:Evidence-based practice program for dietary management of patients with non-dialysis CKD has a positive effect on improving practitioners' knowledge of non-dialysis CKD diets, implementation rate of dietary management behaviors, and patients' dietary behaviors.

Objective:To characterize the brain structure of Chinese children with autism spectrum disorder (ASD) using artificial intelligence automatic brain segmentation technique, and to analyze the correlation between the characteristics of the brain structure and the degree of brain development.Methods:A case-control study.The data of 52 children who were diagnosed with ASD according to the diagnostic criteria for ASD in the Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition of the United States at the Department of Psychology of Qingdao University Affiliated Women and Children′s Hospital from January 2023 to April 2024 were prospectively analyzed.Meanwhile, 48 gender- and age-matched typically developing (TD) children in Qingdao were also included.The three-dimensional T1 weighted imaging sequences of all patients were obtained using a GE 3.0T magnetic resonance imaging scanner.Automated brain segmentation techniques were used to obtain the standardized volumes of each brain structure (the ratio of the absolute volume of the brain structure to the whole brain volume).Two-independent-samples t and Mann-Whitney U tests were used to compare the standardized volumes of different brain regions between the 2 groups.Pearson and Spearman correlation analyses were used to depict the correlations between volume data of brain areas with significant differences and Gesell Developmental Scale scores. Results:Compared with those in the TD group, the volumes of the left grey matter[25.45%(0.70%) vs.25.16%(1.05%)], the right grey matter [(25.89±0.71)% vs.(25.51±0.73)%], the right lateral orbitofrontal cortex [(0.62±0.03)% vs.(0.59±0.05)%], the right medial orbitofrontal cortex[(0.48±0.04)% vs.(0.46±0.04)%], the right pars triangularis [(0.38±0.07)% vs.(0.35±0.05)%], the left hippocampus [0.22%(0.04%) vs.0.20%(0.02%)], the right hippocampus [0.23%(0.04%) vs.0.22%(0.02%)], the left parahippocampal gyrus [0.15%(0.03%) vs.0.14%(0.02%)], the right parahippocampal gyrus [(0.15±0.02)% vs.(0.14±0.02)%], the left fusiform gyrus [(0.82±0.08)% vs.(0.78±0.08)%], the right superior temporal gyrus [(0.96±0.10)% vs.(0.90±0.09)%], the left insular lobe [(0.54±0.03)% vs.(0.53±0.04)%], the right insular lobe [(0.55±0.03)% vs.(0.53±0.04)%], the right inferior parietal cortex [(1.40±0.16)% vs.(1.33±0.12)%], the right precuneus cortex [(0.99±0.09)% vs.(0.94±0.09)%], the right putamen [(0.37±0.04)% vs.(0.35±0.03)%], the left pallidum [(0.14±0.01)% vs.(0.13±0.01)%], the right pallidum [0.14%(0.02%) vs.0.13%(0.01%)], and the right thalamus [(0.51±0.04)% vs.(0.49±0.03)%] were significantly increased in the ASD group (all P<0.05).Nonetheless, the volumes of the left pericalcarine cortex [(0.19±0.04)% vs.(0.20±0.04)%] and the corpus callosum posterior region [0.05%(0.01%) vs.0.06%(0.01%)] in the ASD group were considerably smaller than those in the TD group (all P<0.05).Correlation analysis showed that the right thalamus volume was negatively correlated with the Gesell-adaptation development quotient in children with ASD ( r=-0.276, P=0.048).The volumes of the left fusiform gyrus and left pericalcarine cortex were negatively correlated with the Gesell-fine motor development quotient in children with ASD ( r=-0.290, P=0.037; r=-0.368, P=0.007). The right precuneus cortex volume was negatively correlated with the Gesell-personal and social competence development quotient in children with ASD ( r=-0.396, P=0.007). Conclusions:Children with ASD show abnormalities in the volumes of multiple brain regions, and some brain regions are related to the degree of brain development.Automatic brain segmentation technology based on artificial intelligence can rapidly and directly measure and display the volume of brain structures in both ASD and TD children.

Objective:To characterize the brain structure of Chinese children with autism spectrum disorder (ASD) using artificial intelligence automatic brain segmentation technique, and to analyze the correlation between the characteristics of the brain structure and the degree of brain development.Methods:A case-control study.The data of 52 children who were diagnosed with ASD according to the diagnostic criteria for ASD in the Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition of the United States at the Department of Psychology of Qingdao University Affiliated Women and Children′s Hospital from January 2023 to April 2024 were prospectively analyzed.Meanwhile, 48 gender- and age-matched typically developing (TD) children in Qingdao were also included.The three-dimensional T1 weighted imaging sequences of all patients were obtained using a GE 3.0T magnetic resonance imaging scanner.Automated brain segmentation techniques were used to obtain the standardized volumes of each brain structure (the ratio of the absolute volume of the brain structure to the whole brain volume).Two-independent-samples t and Mann-Whitney U tests were used to compare the standardized volumes of different brain regions between the 2 groups.Pearson and Spearman correlation analyses were used to depict the correlations between volume data of brain areas with significant differences and Gesell Developmental Scale scores. Results:Compared with those in the TD group, the volumes of the left grey matter[25.45%(0.70%) vs.25.16%(1.05%)], the right grey matter [(25.89±0.71)% vs.(25.51±0.73)%], the right lateral orbitofrontal cortex [(0.62±0.03)% vs.(0.59±0.05)%], the right medial orbitofrontal cortex[(0.48±0.04)% vs.(0.46±0.04)%], the right pars triangularis [(0.38±0.07)% vs.(0.35±0.05)%], the left hippocampus [0.22%(0.04%) vs.0.20%(0.02%)], the right hippocampus [0.23%(0.04%) vs.0.22%(0.02%)], the left parahippocampal gyrus [0.15%(0.03%) vs.0.14%(0.02%)], the right parahippocampal gyrus [(0.15±0.02)% vs.(0.14±0.02)%], the left fusiform gyrus [(0.82±0.08)% vs.(0.78±0.08)%], the right superior temporal gyrus [(0.96±0.10)% vs.(0.90±0.09)%], the left insular lobe [(0.54±0.03)% vs.(0.53±0.04)%], the right insular lobe [(0.55±0.03)% vs.(0.53±0.04)%], the right inferior parietal cortex [(1.40±0.16)% vs.(1.33±0.12)%], the right precuneus cortex [(0.99±0.09)% vs.(0.94±0.09)%], the right putamen [(0.37±0.04)% vs.(0.35±0.03)%], the left pallidum [(0.14±0.01)% vs.(0.13±0.01)%], the right pallidum [0.14%(0.02%) vs.0.13%(0.01%)], and the right thalamus [(0.51±0.04)% vs.(0.49±0.03)%] were significantly increased in the ASD group (all P<0.05).Nonetheless, the volumes of the left pericalcarine cortex [(0.19±0.04)% vs.(0.20±0.04)%] and the corpus callosum posterior region [0.05%(0.01%) vs.0.06%(0.01%)] in the ASD group were considerably smaller than those in the TD group (all P<0.05).Correlation analysis showed that the right thalamus volume was negatively correlated with the Gesell-adaptation development quotient in children with ASD ( r=-0.276, P=0.048).The volumes of the left fusiform gyrus and left pericalcarine cortex were negatively correlated with the Gesell-fine motor development quotient in children with ASD ( r=-0.290, P=0.037; r=-0.368, P=0.007). The right precuneus cortex volume was negatively correlated with the Gesell-personal and social competence development quotient in children with ASD ( r=-0.396, P=0.007). Conclusions:Children with ASD show abnormalities in the volumes of multiple brain regions, and some brain regions are related to the degree of brain development.Automatic brain segmentation technology based on artificial intelligence can rapidly and directly measure and display the volume of brain structures in both ASD and TD children.

Objective:To describe the family resilience experience of colorectal cancer patients′ spouses in the process of care, and to provide reference for making effective clinical nursing interventions.Methods:Objective sampling method was used to select the spouses of colorectal cancer patients who were hospitalized in Shanghai East Hospital from March to April 2023. A phenomenological research was used. Semi-structured, in-depth interviews were conducted with 10 spouses of colorectal cancer patients undergoing colostomy. Data was transcribed and analyzed using Colaizzi′s method.Results:Three themes were extracted: family crisis and coping pressure including increased burden of care, accompanying emotional internal friction, heavy economic pressure; internal adjustment and adaptation within the family including positive family beliefs, timely adjustment of family roles, clear and effective communication and interaction; integration and utilization of external resources including active access to information, medical professional support, social external support.Conclusions:With the help of the perspective of family advantage, medical staff should pay attention to the evaluation of care needs and family resilience of colorectal cancer patients′ spouses, to fully mobilize advantage resources and give effective intervention measures to improve the family and social adaptation level of patients and their spouses.

Objective:To summarize the evidence of diet management in patients with chronic kidney disease (CKD) in stage 3-5 D, so as to provide a reference for clinical nursing.Methods:After establishing evidence-based nursing questions, according to the "6S evidence model", the evidence on diet management of patients with CKD in stage 3-5 D was searched by computer, including computer decision support system evidence, guidelines, best evidence summary and systematic review. The search time limit was from the establishment of the database to September 2020. The guideline quality assessment was independently completed by two research nurses and a doctor of nephrology. The quality assessment of non-guideline article was independently completed by two research nurses, and an evidence-based instructor participated in decision-making. The evidence was extracted, evaluated and graded using the Joanna Briggs Institute (JBI) 2014 version of the intervention research evidence pre-grading system.Results:A total of 19 articles that met the requirements were included, including 5 guidelines, 8 systematic reviews, 4 randomized controlled trials, 1 clinical decision, and 1 national standard. A total of 22 pieces of the best evidence on diet management of patients with CKD in stage 3-5 D were summarized from three aspects, namely, diet/nutrition assessment, diet management, teamwork and education.Conclusions:The best evidence of diet management in patients with CKD in stage 3-5 D provides a certain reference for clinical practice, so as to improve the quality of diet management in patients with CKD and the clinical outcomes of patients.

Objective:To explore the lesion characteristics and predictors of invasive coronary angiography (ICA)-verified obstructive lesions with fractional flow reserve (FFR)>0.80, that is, anatomy-function mismatch.Methods:A total of 515 obstructive vessels in 419 coronary disease patients from 11 Chinese medical centers undergoing coronary CT angiography and ICA and FFR were retrospectively analyzed. All vessels had one target lesion with diameter stenosis ≥50 % by ICA. There were 229 vessels in the match group (FFR≤0.80) and 286 vessels in the mismatch group (FFR>0.80). The lesion characteristics including lesion territory, the distance of the coronary artery ostium to the proximal end of the lesion, minimum lumen area, reference lumen area, plaque length and burden, plaque volume and component volume, remodeling index and plaque morphological complexity were measured and compared between the two groups. Optimal thresholds of quantitative plaque characteristics were defined by Yoden index. Logistic regression analysis was used to analyze the predictors of anatomy-function mismatch. Area under receiver operating characteristic curve (AUC) was used to analyze the ability of different lesion features to predict mismatched lesions.Results:The coronary stenosis, plaque burden and length, plaque volume (including each component volume) in the mismatch group were smaller than those in the match group, and FFR, minimum lumen area were larger (all P<0.05). Left anterior descending artery (LAD) lesion and severe complex plaque were more common in the match group than the mismatch group with a statistically significant difference. Univariate logistic regression analysis showed that LAD lesion, minimum lumen area>4 mm 2, plaque burden and length, plaque calcification volume<27 mm 3, plaque lipid volume<30 mm 3, plaque fiber volume<150 mm 3 and plaque morphological complexity were predictiors of anatomic function mismatched lesions; Multivariate logistic regression showed that the minimum lumen area>4 mm 2 (OR=3.371, 95%CI 1.903-5.973, P<0.001), plaque lipid volume<30 mm 3 (OR=3.014, 95%CI 1.691-5.373, P<0.001), plaque morphological complexity (mild OR=17.772, 95%CI 8.072-39.128, P<0.001, moderate OR=6.383, 95%CI 3.739-10.896, P<0.001) were independent predictors of mismatched lesions. The AUC of the model based on the minimum lumen area, plaque lipid volume and morphological complexity was 0.824, which was superior to either of the plaque feature alone ( P<0.001). Conclusions:The minimum lumen area, lipid volume and plaque morphological complexity are independent predictors of the anatomical-functional mismatch lesions, and the combination can significantly improve the prediction value.

Objective:To elucidate the correlation between peripheral blood levels of pentraxin 3 (PTX3) and fibroblast growth factors 2 (FGF2) and clinical manifestations, immunological indexes and disease activity of systemic lupus erythematosus (SLE) patients.Methods:The correlation between peripheral blood levels of PTX3 and FGF2 and clinical manifestations, immunological indexes and disease activity of SLE pa-tients was determined. T test, Mann-Whitney U test and Spearman's rank correlation coefficient were analyzed statistically. Results:Plasma PTX3 levels were significantly higher in SLE patients than in healthy controls (3 191±2 423) pg/ml vs (755±432) pg/ml, t=5.595, P<0.01) . The titer of PTX3 in patients with hematologic in-volvement was higher than that in the patients without [(3 810±2 840) pg/ml vs (2 493±1 830) pg/ml, t=2.008, P=0.049). Plasma PTX3 concentration in SLE patients was positively correlated not only with the level of 24 h urine protein ( r=0.498 6, P=0.005 9), but also with ESR ( r= 0.376, P=0.007) and systemic lupus erythematosus disease activity index (SLEDAI) scores ( r=0.405, P=0.003). On the contrast, plasma PTX3 concentration in SLE patients was negatively correlated with complement 3 ( r=-0.405, P=0.005). Increased serum PTX3 levels accompanied by increased serum FGF2 levels was observed. Plasma FGF2 concentration in SLE patients was positively correlated with SLEDAI scores ( r=0.326, P=0.019), but negatively correlated with level of comple-ment 3 ( r=-0.414, P=0.004) and complement 4 ( r=-0.451, P=0.007). Levels of FGF2 were higher in patients with positive anti-NuA antibody [(138±91) pg/ml vs (59±68) pg/ml, t=2.996, P=0.004 2), anti-dsDNA antibody [(120±96) pg/ml vs (56±58) pg/ml, t=3.583, P=0.000 7] and anti-rRNP antibody (151±109) pg/ml vs (63±61) pg/ml, t=3.757, P=0.000 4) than in patients with negative of these antibodies. Conclusion:The levels of PTX3 and FGF2 in peripheral blood may play a role in determining the disease activity and clinical phenotype of SLE, and can help doctors to make diagnosis and treatment decisions.

Objective How to examine the function of transplanted kidney more accurately and sensitively has become a fo?cus of clinical attention.This study was to investigate the value of 99Tcm?DTPA renal dynamic imaging in evaluating the function of trans?planted kidney by glomerular filtration( GFR) after transplantation. Methods Patients were collected from August 2015 to January 2016 in Nanjing General Hospital of Nanjing Military Region. GFR was measured in 74 cases of kidney transplantation patients using the 99Tcm?DTPA renal dynamic imaging.According to the range of serum creatinine,we divided the 74 cases into two groups:the normal group( n=17) and abnormal group( n=57) . We analysed the GFR between two groups and the correlation of GFR and serum creatinine .Transplanted kidney puncture biopsy was operated in 55 patients. We analysed the pathological results and compared the GFR. Results Compared with the abnormal group (GFR=37.7±15.4 mL/min),the average GFR was higher in the normal group(GFR =61.7±15.6 mL/min)(P<0.001). The average GFR(43.2±18.4 mL/min) measured by 99Tcm?DTPA renal dynamic imaging in 74 cases was positive correlated with average serum creatinine(1.84±0.82 mg/dL)(r=-0.673, P<0.001).Compared with patients with abnormal pathological results(GFR=39.6±16.5mL/min), normal people had higher average GFR ( GFR=59. 2 ± 8. 5 mL/min ) ( P=0. 040 ) . Conclusion 99 Tcm?DTPA renal dynamic imaging can reflect the function of transplanted kidney sensitively, it is one of the noninvasive examination to monitor the function in transplanted kidney.

Objective To investigate the correlation between self-management level and survival quality among stroke patients in community. Methods A total of 100 stroke patients in community were recruited from three communities in Shanghai from January to April 2014. They were investigated with the stroke patients self-management scale and SIS life quality scale. The SPSS 19. 0 software was used for statistical analysis. Results The total scores of self-management level and survival quality were (174. 97 ± 36. 69) and (213. 94 ± 52. 84),respectively, which were at the level of better than average. The scores of the total scale and the factors of self-management level and survival quality were positively correlated (r =0. 139 -0. 661,P <0. 01). Conclusions Positive correlation exists between self-management level and survival quality among stroke patients in community. The medical staff should pay more attention to improve the level of self-management in patients, and improve their quality of life.