Objective To observe the value of artificial intelligence iterative reconstruction(AIIR)for abdominal and pelvic CT examination after total hip arthroplasty(THA).Methods Totally 64 patients after THA who underwent abdominal and pelvic CT examinations were retrospectively collected,including 31 patients received routine CT scanning and 33 patients received dual-energy CT scanning.AIIR and hybrid iterative reconstruction(HIR)algorithms were used to obtain AIIR and HIR images based on conventional CT images,respectively,while 70-140 keV(interval of 5 keV)virtual monoenergetic images(VMI)were reconstructed based on dual-energy CT images.VMI with the best comprehensive imaging qualities were selected for analysis.Subjective scores and objective evaluation results of imaging quality were compared among different kinds of images.Results The subjective scores of artifacts,bones,diagnostic confidence,as well as displaying of pelvic organs and blood vessels on both AIIR images and VMI were all higher than those of HIR images(all P＜0.001),while no significant difference was found between AIIR images and VMI(all P＞0.017).Pairwise comparison of high-density artifact fraction and skeletal artifact fraction on AIIR,HIR images and VMI showed significant differences(all P＜0.001).No significant difference of low density artifact fraction nor high density noise fraction was detected between AIIR image and VMI(both P＞0.017),and the objective evaluation results were different from those of HIR images(both P＜0.017).The low density noise fraction of AIIR images was lower than that of HIR images(P＜0.017),while no significant difference was found between AIIR or HIR images and VMI(both P＞0.017).The bone noise fraction of AIIR and HIR images were both higher than that of VMI(both P＜0.017),while no significant difference was found between these two kinds of images(P＞0.017).Conclusion AIIR could reduce artifacts and image noise of abdominal and pelvic CT examination after THA and improve imaging quality.

BACKGROUND: Renal osteodystrophy (ROD) is a skeletal pathology associated with chronic kidney disease-mineral and bone disorder (CKD-MBD) that is characterized by aberrant bone mineralization and remodeling. ROD increases the risk of fracture and mortality in CKD patients. The underlying mechanisms of ROD remain elusive, partially due to the absence of an appropriate animal model. To address this gap, we established a stable mouse model of ROD using an optimized adenine-enriched diet and conducted exploratory analyses through ribonucleic acid sequencing (RNA-seq). METHODS: Eight-week-old male C57BL/6J mice were randomly allocated into three groups: control group ( n = 5), adenine and high-phosphate (HP) diet group ( n = 20), and the optimized adenine-containing diet group ( n = 20) for 12 weeks. We assessed the skeletal characteristics of model mice through blood biochemistry, microcomputed tomography (micro-CT), and bone histomorphometry. RNA-seq was utilized to profile gene expression changes of ROD. We elucidated the functions of differentially expressed genes (DEGs) using gene ontology (GO) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and gene set enrichment analysis (GSEA). DEGs were validated via quantitative real-time polymerase chain reaction (qRT-PCR). RESULTS: By the fifth week, adenine followed by an HP diet induced rapid weight loss and high mortality rates in the mouse group, precluding further model development. Mice with optimized adenine diet-induced ROD displayed significant abnormalities in serum creatinine and blood urea nitrogen levels, accompanied by pronounced hyperparathyroidism and hyperphosphatemia. The femur bone mineral density (BMD) of the model mice was lower than that of control mice, with substantial bone loss and cortical porosity. ROD mice exhibited substantial bone turnover with an increase in osteoblast and osteoclast markers. Transcriptomic profiling revealed 1907 genes with upregulated expression and 723 genes with downregulated expression in the femurs of ROD mice relative to those of control mice. Pathway analyses indicated significant enrichment of upregulated genes in the sphingolipid metabolism pathway. The significant upregulation of alkaline ceramidase 1 ( Acer1 ), alkaline ceramidase 2 ( Acer2 ), prosaposin-like 1 ( Psapl1 ), adenosine A1 receptor ( Adora1 ), and sphingosine-1-phosphate receptor 5 ( S1pr5 ) were successfully validated in mouse femurs by qRT-PCR. CONCLUSIONS Optimized adenine diet mouse model may be a valuable proxy for studying ROD. RNA-seq analysis revealed that the sphingolipid metabolism pathway is likely a key player in ROD pathogenesis, thereby providing new avenues for therapeutic intervention.
Animals ; Mice ; Chronic Kidney Disease-Mineral and Bone Disorder/genetics* ; Male ; Disease Models, Animal ; Mice, Inbred C57BL ; Sphingolipids/metabolism* ; Transcriptome/genetics* ; Signal Transduction/genetics* ; X-Ray Microtomography ; Adenine

Objective:To explore the correlation between serum nidogen-2 (NID-2) and thoracic aortic calcification in patients with chronic kidney disease (CKD), and construct a risk prediction model based on NID-2 to evaluate its value in predicting the risk of the severe thoracic aortic calcification and cardiovascular and cerebrovascular events in CKD patients.Methods:It was a prospective cohort study. Patients with CKD at stage 3 to 5D in the Zhongda Hospital Affiliated to Southeast University from January 2022 to January 2023 were enrolled. Syngo.via software was used to evaluate the volume of thoracic aortic calcification, and enzyme-linked immunosorbent assay was employed to determine the level of serum NID-2. According to the volume of thoracic aortic calcification, the patients were divided into three groups: no calcification group, mild calcification group and severe calcification group. The top 25% of the patients were defined as no or mild calcification group, and the latter 75% were defined as severe calcification group. The follow-up period was one year. During the follow-up period, cardiovascular and cerebrovascular events, as well as all-cause death among the enrolled patients were recorded. Logistic regression analysis was used to screen the influencing factors of thoracic aortic calcification. Based on the results of logistic regression analysis, a nomogram prediction model was constructed. The receiver operating characteristic curve (ROC curve), calibration curve, and decision curve were employed to evaluate the discrimination, calibration and clinical practicality of the nomogram model.Results:A total of 132 patients were included, with 91 males (68.94%) and age of (56.51±16.37) years. There were 60 CKD 3-5 stage patients (non-dialysis, 45.45%) and 72 CKD 5D patients (dialysis, 54.55%). Serum ND-2 levels differed significantly among healthy individuals, dialysis patients and non-dialysis patients ( H=70.651, P<0.001). There was no statistically significant difference in serum NID-2 level between the no or mild calcification group and the severe calcification group in dialysis patients ( Z=350.00, P=0.426). The serum NID-2 level in the severe calcification group was significantly higher than that in the no or mild calcification group in non-dialysis patients ( Z=242.00, P=0.019). In non-dialysis patients, there was a statistically significant correlation between serum NID-2 level and volume of thoracic aortic calcification ( r=0.40, P<0.001). In dialysis patients, there was no statistically significant correlation between serum NID-2 level and volume of each segment of thoracic aortic calcification (all P>0.05). The univariate logistic regression analysis showed that, age, hemoglobin, serum albumin, estimated glomerular filtration rate, NID-2, hypertension, type 2 diabetes mellitus and cerebral infarction were correlated factors of thoracic aortic calcification in non-dialysis patients (all P<0.05). Multivariate logistic regression analysis showed that age ( OR=1.22, 95% CI 1.08-1.50, P=0.010) was an independent correlated factor of thoracic aortic calcification in non-dialysis patients. The above related variables of univariate logistic regression analysis were incorporated into a nomogram to construct a predictive model for severe vascular calcification in non-dialysis patients, yielding an AUC of 0.94 (95% CI 0.89-0.99) in ROC curve, with a sensitivity of 83% and a specificity of 95%. A nomogram model based on above variables for predicting cardiovascular and cerebrovascular events in non-dialysis patients demonstrated an AUC of 0.95 (95% CI 0.90-1.00) in ROC curve, with a sensitivity of 95% and a specificity of 87%. Conclusions:In non-dialysis patients, serum NID-2 level in the severe calcification group is significantly higher than that in the no or mild calcification group. The serum NID-2 is a related factor of thoracic aortic calcification and cardiovascular and cerebrovascular events in non-dialysis patients. The nomogram prediction model constructed by combining NID-2 with age, hemoglobin, serum albumin, estimated glomerular filtration rate, hypertension, type 2 diabetes mellitus and cerebral infarction has a high predictive value for the risk of thoracic aortic calcification as well as cardiovascular and cerebrovascular events in non-dialysis patients.

Objective:To analyze the epidemiological characteristics of herpes zoster (HZ) in Zhoushan and Shaoxing cities of Zhejiang Province from 2022 to 2024.Methods:The HZ data were obtained from the Zhejiang Regional Health Information Platform. Specifically, information was sourced from 42 public hospitals and 149 primary healthcare institutions in Zhoushan and Shaoxing, covering both outpatient and inpatient records (e.g., name, sex, date of birth, ID number, visit date, diagnosis code, admission/discharge dates, and medical expenses). Additionally, vaccination records were matched by ID number from the Zhejiang Immunization Planning Smart Service Information System, including vaccination date, dose, and manufacturer. Permanent resident population data for both cities were collected and stratified by age, sex, and district/county. Based on these data, the epidemiological characteristics of HZ, such as incidence rate, hospitalization rate, and recurrence rate, as well as the occurrence of complications and vaccination, were analyzed.Results:From 2022 to 2024, a total of 45 280 initial HZ cases were identified. The mean age of patients was 57.82 years, with 52.69% being female patients and 95.01% being outpatient cases. Notably, the overall incidence rate of HZ was 3.18‰, showing a significant upward trend ( P<0.001). HZ occurred throughout the year without marked seasonality. The incidence rate increased with age ( P<0.001). The incidence rate was higher in females than males (3.46‰ vs. 2.91‰, P<0.001) and also higher in Shaoxing than Zhoushan (3.38‰ vs. 1.87‰, P<0.001). Regarding complications, these occurred in 44.51% (20 157/45 280) of patients, with the most common complication being postherpetic neuralgia. The incidence rate of HZ with complications was lower than that without complications (1.41‰ vs. 1.76‰, P<0.001), but both hospitalization (0.14‰ vs. 0.03‰, P<0.001) and recurrence rates (27.43‰ vs. 6.69‰, P<0.001) were higher for cases with complications. Additionally, among individuals aged ≥40 years, the overall HZ vaccination rate was 1.42‰. Conclusion:Herpes zoster imposes a substantial disease burden in Zhejiang Province, while the vaccination rate remains low.

Objective To construct a critical care humanistic nursing curriculum under the perspective"great ideological and political education",and evaluate its effects in the training of intensive care unit(ICU)standardized training nurses.Methods A research team was established and organized by department of nursing of Zhongshan Hospital,Fudan University,which consisting of 6 critical care nursing managers and specialists,including 1 chief nurse,3 head nurses,1 master's graduate,and 1 doctoral graduate.The team was responsible for literature review,questionnaire design,expert recruitment,survey distribution and collection,data integration,and analysis.A preliminary questionnaire was developed through literature reviews on critical care humanistic nursing,brainstorming sessions,and clinical surveys.A two-round Delphi method was conducted to finalize the humanistic nursing training curriculum.Ideological and political elements,such as political identity,patriotism,moral cultivation,legal awareness,scientific spirit and professional quality were integrated into the program.From July 2023 to June 2024,newly enrolled ICU standardized training nurses at Zhongshan Hospital,Fudan University participated in the training.Training outcomes were assessed via theoretical examinations and pre-and post-training evaluations of humanistic competency.Results A total of 10 experts participated in the consultation,resulting in a training course consisting of two primaryl indicators and 11 secondary indicators.A total of 60 nurses participated in the training,achieving an average post-training theoretical score of 84.92±7.73.Significant improvements were observed across all dimensions of humanistic competency post-training compared to pre-training(humanistic care practice competency:33.95±4.50 vs.30.82±4.10,communication skills:20.27±2.68 vs.18.98±2.98,self-management:10.07±1.91 vs.9.20±2.02,ethical and legal competence:10.38±1.61 vs.9.68±2.02,psychological adaptability:14.20±2.31 vs.13.03±2.19,and total humanistic practice competency score:88.87±7.65 vs.81.71±8.55),with all differences statistically significant(all P<0.05).Conclusion The critical care humanistic nursing curriculum under the perspective of"great ideological and political education"can effectively improve the humanistic quality of nurses and enhance their ICU practical skills,so as to provide reference for the training of nurses in intensive care.

Objective:To analyze the epidemiological characteristics of herpes zoster (HZ) in Zhoushan and Shaoxing cities of Zhejiang Province from 2022 to 2024.Methods:The HZ data were obtained from the Zhejiang Regional Health Information Platform. Specifically, information was sourced from 42 public hospitals and 149 primary healthcare institutions in Zhoushan and Shaoxing, covering both outpatient and inpatient records (e.g., name, sex, date of birth, ID number, visit date, diagnosis code, admission/discharge dates, and medical expenses). Additionally, vaccination records were matched by ID number from the Zhejiang Immunization Planning Smart Service Information System, including vaccination date, dose, and manufacturer. Permanent resident population data for both cities were collected and stratified by age, sex, and district/county. Based on these data, the epidemiological characteristics of HZ, such as incidence rate, hospitalization rate, and recurrence rate, as well as the occurrence of complications and vaccination, were analyzed.Results:From 2022 to 2024, a total of 45 280 initial HZ cases were identified. The mean age of patients was 57.82 years, with 52.69% being female patients and 95.01% being outpatient cases. Notably, the overall incidence rate of HZ was 3.18‰, showing a significant upward trend ( P<0.001). HZ occurred throughout the year without marked seasonality. The incidence rate increased with age ( P<0.001). The incidence rate was higher in females than males (3.46‰ vs. 2.91‰, P<0.001) and also higher in Shaoxing than Zhoushan (3.38‰ vs. 1.87‰, P<0.001). Regarding complications, these occurred in 44.51% (20 157/45 280) of patients, with the most common complication being postherpetic neuralgia. The incidence rate of HZ with complications was lower than that without complications (1.41‰ vs. 1.76‰, P<0.001), but both hospitalization (0.14‰ vs. 0.03‰, P<0.001) and recurrence rates (27.43‰ vs. 6.69‰, P<0.001) were higher for cases with complications. Additionally, among individuals aged ≥40 years, the overall HZ vaccination rate was 1.42‰. Conclusion:Herpes zoster imposes a substantial disease burden in Zhejiang Province, while the vaccination rate remains low.

Objective To construct a critical care humanistic nursing curriculum under the perspective"great ideological and political education",and evaluate its effects in the training of intensive care unit(ICU)standardized training nurses.Methods A research team was established and organized by department of nursing of Zhongshan Hospital,Fudan University,which consisting of 6 critical care nursing managers and specialists,including 1 chief nurse,3 head nurses,1 master's graduate,and 1 doctoral graduate.The team was responsible for literature review,questionnaire design,expert recruitment,survey distribution and collection,data integration,and analysis.A preliminary questionnaire was developed through literature reviews on critical care humanistic nursing,brainstorming sessions,and clinical surveys.A two-round Delphi method was conducted to finalize the humanistic nursing training curriculum.Ideological and political elements,such as political identity,patriotism,moral cultivation,legal awareness,scientific spirit and professional quality were integrated into the program.From July 2023 to June 2024,newly enrolled ICU standardized training nurses at Zhongshan Hospital,Fudan University participated in the training.Training outcomes were assessed via theoretical examinations and pre-and post-training evaluations of humanistic competency.Results A total of 10 experts participated in the consultation,resulting in a training course consisting of two primaryl indicators and 11 secondary indicators.A total of 60 nurses participated in the training,achieving an average post-training theoretical score of 84.92±7.73.Significant improvements were observed across all dimensions of humanistic competency post-training compared to pre-training(humanistic care practice competency:33.95±4.50 vs.30.82±4.10,communication skills:20.27±2.68 vs.18.98±2.98,self-management:10.07±1.91 vs.9.20±2.02,ethical and legal competence:10.38±1.61 vs.9.68±2.02,psychological adaptability:14.20±2.31 vs.13.03±2.19,and total humanistic practice competency score:88.87±7.65 vs.81.71±8.55),with all differences statistically significant(all P<0.05).Conclusion The critical care humanistic nursing curriculum under the perspective of"great ideological and political education"can effectively improve the humanistic quality of nurses and enhance their ICU practical skills,so as to provide reference for the training of nurses in intensive care.

Objective To observe the value of artificial intelligence iterative reconstruction(AIIR)for abdominal and pelvic CT examination after total hip arthroplasty(THA).Methods Totally 64 patients after THA who underwent abdominal and pelvic CT examinations were retrospectively collected,including 31 patients received routine CT scanning and 33 patients received dual-energy CT scanning.AIIR and hybrid iterative reconstruction(HIR)algorithms were used to obtain AIIR and HIR images based on conventional CT images,respectively,while 70-140 keV(interval of 5 keV)virtual monoenergetic images(VMI)were reconstructed based on dual-energy CT images.VMI with the best comprehensive imaging qualities were selected for analysis.Subjective scores and objective evaluation results of imaging quality were compared among different kinds of images.Results The subjective scores of artifacts,bones,diagnostic confidence,as well as displaying of pelvic organs and blood vessels on both AIIR images and VMI were all higher than those of HIR images(all P＜0.001),while no significant difference was found between AIIR images and VMI(all P＞0.017).Pairwise comparison of high-density artifact fraction and skeletal artifact fraction on AIIR,HIR images and VMI showed significant differences(all P＜0.001).No significant difference of low density artifact fraction nor high density noise fraction was detected between AIIR image and VMI(both P＞0.017),and the objective evaluation results were different from those of HIR images(both P＜0.017).The low density noise fraction of AIIR images was lower than that of HIR images(P＜0.017),while no significant difference was found between AIIR or HIR images and VMI(both P＞0.017).The bone noise fraction of AIIR and HIR images were both higher than that of VMI(both P＜0.017),while no significant difference was found between these two kinds of images(P＞0.017).Conclusion AIIR could reduce artifacts and image noise of abdominal and pelvic CT examination after THA and improve imaging quality.

Objective:To explore the correlation between serum nidogen-2 (NID-2) and thoracic aortic calcification in patients with chronic kidney disease (CKD), and construct a risk prediction model based on NID-2 to evaluate its value in predicting the risk of the severe thoracic aortic calcification and cardiovascular and cerebrovascular events in CKD patients.Methods:It was a prospective cohort study. Patients with CKD at stage 3 to 5D in the Zhongda Hospital Affiliated to Southeast University from January 2022 to January 2023 were enrolled. Syngo.via software was used to evaluate the volume of thoracic aortic calcification, and enzyme-linked immunosorbent assay was employed to determine the level of serum NID-2. According to the volume of thoracic aortic calcification, the patients were divided into three groups: no calcification group, mild calcification group and severe calcification group. The top 25% of the patients were defined as no or mild calcification group, and the latter 75% were defined as severe calcification group. The follow-up period was one year. During the follow-up period, cardiovascular and cerebrovascular events, as well as all-cause death among the enrolled patients were recorded. Logistic regression analysis was used to screen the influencing factors of thoracic aortic calcification. Based on the results of logistic regression analysis, a nomogram prediction model was constructed. The receiver operating characteristic curve (ROC curve), calibration curve, and decision curve were employed to evaluate the discrimination, calibration and clinical practicality of the nomogram model.Results:A total of 132 patients were included, with 91 males (68.94%) and age of (56.51±16.37) years. There were 60 CKD 3-5 stage patients (non-dialysis, 45.45%) and 72 CKD 5D patients (dialysis, 54.55%). Serum ND-2 levels differed significantly among healthy individuals, dialysis patients and non-dialysis patients ( H=70.651, P<0.001). There was no statistically significant difference in serum NID-2 level between the no or mild calcification group and the severe calcification group in dialysis patients ( Z=350.00, P=0.426). The serum NID-2 level in the severe calcification group was significantly higher than that in the no or mild calcification group in non-dialysis patients ( Z=242.00, P=0.019). In non-dialysis patients, there was a statistically significant correlation between serum NID-2 level and volume of thoracic aortic calcification ( r=0.40, P<0.001). In dialysis patients, there was no statistically significant correlation between serum NID-2 level and volume of each segment of thoracic aortic calcification (all P>0.05). The univariate logistic regression analysis showed that, age, hemoglobin, serum albumin, estimated glomerular filtration rate, NID-2, hypertension, type 2 diabetes mellitus and cerebral infarction were correlated factors of thoracic aortic calcification in non-dialysis patients (all P<0.05). Multivariate logistic regression analysis showed that age ( OR=1.22, 95% CI 1.08-1.50, P=0.010) was an independent correlated factor of thoracic aortic calcification in non-dialysis patients. The above related variables of univariate logistic regression analysis were incorporated into a nomogram to construct a predictive model for severe vascular calcification in non-dialysis patients, yielding an AUC of 0.94 (95% CI 0.89-0.99) in ROC curve, with a sensitivity of 83% and a specificity of 95%. A nomogram model based on above variables for predicting cardiovascular and cerebrovascular events in non-dialysis patients demonstrated an AUC of 0.95 (95% CI 0.90-1.00) in ROC curve, with a sensitivity of 95% and a specificity of 87%. Conclusions:In non-dialysis patients, serum NID-2 level in the severe calcification group is significantly higher than that in the no or mild calcification group. The serum NID-2 is a related factor of thoracic aortic calcification and cardiovascular and cerebrovascular events in non-dialysis patients. The nomogram prediction model constructed by combining NID-2 with age, hemoglobin, serum albumin, estimated glomerular filtration rate, hypertension, type 2 diabetes mellitus and cerebral infarction has a high predictive value for the risk of thoracic aortic calcification as well as cardiovascular and cerebrovascular events in non-dialysis patients.

Objective:To identify the risk factors, and develop and validate a risk prediction model for abnormal bone mass in end-stage renal disease (ESRD) patients.Methods:It was a retrospective cross-sectional study. The clinical and laboratory data of ESRD patients who were hospitalized in the Department of Nephrology, Zhongda Hospital Affiliated to Southeast University from January 2022 to May 2023 were collected retrospectively. The patients were randomly divided into training and validation cohorts at a ratio of 7∶3. They were further divided into normal and abnormal bone mass groups according to the T value measured by dual-energy X-ray absorptiometry (DXA). Then, backward stepwise regression and least absolute shrinkage and selection operator (LASSO) were respectively used to develop the risk prediction model for abnormal bone mass in ESRD patients. Akaike information criterion (AIC), bayesian information criterion (BIC), and accuracy were used to evaluate the performance of these two models, after which the preferable model was selected. Moreover, the receiver operating characteristic (ROC) curve, calibration curve, Hosmer-Lemeshow test, and decision curve analyses (DCA) were applied to evaluate the diagnostic performance of the preferable model. Finally, a dynamic nomogram for individual assessment was constructed based on the preferable model.Results:A total of 254 ESRD patients were enrolled, including 160 (63.0%) males, 161 (63.4%) hemodialysis patients, and 202 (79.5%) patients with abnormal bone mass. There was no significant difference in the prevalence of abnormal bone mass between training group ( n=178) and validation group ( n=76) (79.2% vs. 80.3%, χ2=0.036, P=0.849). The final variables and variable parameters included in the LASSO and stepwise regression models were the same, which were five variables: age, body mass index, hypertension, diabetes, and osteocalcin. Both models also had the same AIC, BIC, and accuracy in the training group, which were 113.45, 132.54, and 0.837, respectively. Therefore, the LASSO model and the stepwise regression model performed consistently in this study and could be considered as the same model, hereafter referred to as the Model. The Model's area under the ROC curve in the training and validation groups was 0.923 (95% CI 0.884-0.963) and 0.809 (95% CI 0.675-0.943), respectively. The optimal cutoff for the training group was 0.858, with a sensitivity of 0.801, a specificity of 0.973 and an accuracy of 0.837; when this cutoff value was taken, the validation group's sensitivity was 0.689, specificity was 0.800, and accuracy was 0.711. The Model demonstrated excellent performance in the calibration curve, Hosmer-Lemeshow test ( P>0.05), and DCA. Finally, based on the five predictors of the Model, a dynamic nomogram was created for clinicians to enter baseline clinical parameters for early identification of high-risk patients with abnormal bone mass. Conclusions:A dynamic nomogram for abnormal bone mass in ESRD patients is constructed with good predictive performance based on the prediction model, which can be used as a practical approach for the personalized early screening and auxiliary diagnosis of the potential risk factors and assist physicians in making a personalized diagnosis for patients.