1.Clinical features of IgA vasculitis with positive antineutrophil cytoplasmic antibody in children
Junli WAN ; Pan LI ; Liwen TAN ; Jia JIAO ; Qin YANG ; Cheng ZHONG ; Gaofu ZHANG ; Haiping YANG ; Qiu LI ; Mo WANG
Chinese Journal of Pediatrics 2025;63(9):972-979
Objective:To analyze the clinical features and risk factors for renal injury in children with antineutrophil cytoplasmic antibody (ANCA)-positive IgA vasculitis (IgAV).Methods:A case-control study was conducted. Seventy-two ANCA-positive IgAV children hospitalized at the Children′s Hospital of Chongqing Medical University from January 2017 to October 2022 were enrolled as the ANCA-positive group. Propensity score matching (1∶4) using the nearest neighbor was performed with age and gender as covariate, and 288 cases ANCA-negative IgAV children were included as the ANCA-negative group. Patients with renal injury were named ANCA-positive IgAV nephritis (IgAVN) group and ANCA-negative IgAVN group, respectively. The ANCA-positive IgAVN group was further divided into myeloperoxidase (MPO) group and proteinase 3 (PR3) group based on the type of ANCA. Clinical data including manifestations, laboratory tests, renal injury, and prognosis were collected. Comparisons between groups were performed using independent sample t-tests, Mann-Whitney U tests, χ2 tests, or Fisher′s exact tests. Kaplan-Meier curves were used to assess differences in the time to renal injury onset, and multivariate logistic regression was performed to identify independent risk factors for renal injury. Results:Among the 72 ANCA-positive IgAV children (41 males, 31 females, age of 7.7 (5.3, 11.2) years), no significant difference in age or gender was observed compared to the ANCA-negative group (both P>0.05). The ANCA-positive group had higher IgM levels, a higher incidence of recurrent rash, and shorter thrombin time (all P<0.05). Among children with renal injury, the ANCA-positive group showed significant differences in the incidence of hematuria, clinical classification, and grade A prognosis compared to the ANCA-negative group (all P<0.05), but no difference was found in the time to renal involvement onest or renal pathology (all P>0.05). The MPO group had higher rates of microscopic hematuria, gross hematuria, acute renal insufficiency, glomerular sclerosis, and grade B prognosis compared to the ANCA-negative IgAVN group (all P<0.05), with a later onset of renal involvement ( P<0.05). Elevated serum creatinine ( OR=1.08, 95% CI 1.03-1.14) and shortened thrombin time ( OR=0.71, 95% CI 0.55-0.92) were independent risk factors for renal injury in ANCA-positive IgAV children (all P<0.05). Conclusions:Children with ANCA-positive IgAV are more likely to experience recurrent rash. MPO-ANCA-positive IgAVN children have higher risks of hematuria, acute kidney injury and glomerular sclerosis, with later-onset but poorer renal prognosis compared to ANCA-negative IgAVN children. Higher serum creatinine levels and shorter thrombin time may be associated with renal injury in children with ANCA-positive IgAV.
2.Four-dimensional flow MRI evaluation of hemodynamic in transplant renal artery stenosis: a preliminary study
Liwen SHEN ; Zhaoyu XING ; Liang PAN ; Jie CHEN ; Songlin GUO ; Wei XING
Chinese Journal of Radiology 2025;59(3):286-292
Objective:To explore the value of four-dimensional flow (4D Flow) MRI in evaluating hemodynamic changes of transplant renal artery stenosis (TRAS).Methods:The study was a cross-sectional study. A retrospective analysis of 67 patients after renal transplantation was performed in Third Affiliated Hospital of Soochow University from January 2021 to October 2022. All patients were examined with non-contrast enhanced magnetic resonance angiography (NCE-MRA) and 4D Flow MRI. After NCE-MRA assessment, the patients were divided into a non stenosis group (39 cases), non-obvious stenosis group (stenosis degree<50%, 13 cases) and obvious stenosis group (stenosis degree≥50%, 15 cases). The 4D Flow MRI data were analyzed using the post-processing software CVI42 (Canada) to measure hemodynamic parameters of the transplanted renal artery in the non-stenosis group, as well as the proximal, central, and distal regions of the stenosis in the non-obvious stenosis group and obvious stenosis group. The parameters included net flow rate, maximum flow rate, average velocity, peak velocity, average wall shear stress, and maximum wall shear stress. One way analysis of variance and least significant difference (LSD) were used to test the differences of hemodynamic parameters among the three groups and between the proximal, central and distal regions of the stenosis. Pearson correlation coefficient was used to evaluate the correlation between hemodynamic parameters of transplant renal artery and estimated glomerular filtration rate (eGFR).Results:The net flow, maximum flow and average velocity at the proximal region of stenosis in the group with obvious stenosis of transplanted renal artery were significantly lower than those in the non-stenosis group and the non-obvious stenosis group (all P<0.05). The net flow and maximum flow at the distal region of stenosis in both obvious stenosis group and non-obvious stenosis group were lower than those in non-stenosis group, and the differences were statistically significant (both P<0.001). The mean velocity and peak velocity at the distal region of stenosis in the obvious stenosis group were higher than those in the non-stenosis group, and the differences were statistically significant (both P<0.05). The maximum and average wall shear stress at the distal region of stenosis in the obvious stenosis group were lower than those in the non-stenosis group and the non-obvious stenosis group, and the differences were statistically significant (both P<0.05). The net flow and maximum flow in the center region of stenosis were lower than those in the proximal region of stenosis, and the differences were statistically significant (both P<0.05). The peak velocity in the center region and distal region of stenosis was higher than those in the proximal region of stenosis, and the difference was statistically significant (both P<0.05). There was a positive correlation between the net flow and eGFR at the TRAS patients proximal, center, and distal stenosis ( r=0.270, 0.260, 0.320, respectively, P=0.044, 0.041, 0.036, respectively). There was a positive correlation between the maximum flow and eGFR at the TRAS patients proximal, center, and distal stenosis ( r=0.306, 0.276, 0.269, respectively, P=0.037, 0.041, 0.043, respectively). Conclusion:After TRAS, there is a significant change in blood flow status. The 4D Flow MRI can provide quantitative hemodynamic parameters to reflect the hemodynamic changes of TRAS.
3.Application values of plaque features and derived parameters based on coronary CT angiography in predicting major adverse cardiovascular events in patients with and without diabetes mellitus
Ming CHEN ; Fusheng OUYANG ; Xiyi HUANG ; Jialing PAN ; Liwen WANG ; Lanni ZHOU ; Qiugen HU ; Baoliang GUO
Chinese Journal of Diabetes 2025;33(3):167-172
Objective To compare the application value of coronary computed tomography angiography(CCTA)based plaque characteristics and computed tomography(CT)derived parameters in predicting future major adverse cardiovascular events(MACE)between patients with and without diabetes mellitus.Methods A total of 425 patients who underwent CCTA in Shunde Hospital Affiliated to Southern Medical University from June 2016 to November 2016 were retrospectively analyzed.Patients were divided into DM group(n=120)and non-DM group(n=305)for follow-up.According to the occurrence of MACE during follow-up,patients were divided into DM group(n=81),DM+MACE group(n=39),non-DM group(n=39),non-DM group(n=244)and non-DM+MACE group(n=61).The differences in general characteristics,biochemical index and parameters in imaging were compared among the four groups.Cox proportional hazards regression analysis was used to analyze the influencing factors for MACE in the two populations.The receiver operating characteristic(ROC)curve was used to analyze the difference in the predictive value of different plaque characteristics and CT-derived parameters for MACE.Results The levels of coronary artery calcification score(CACS),and the proportion of low-attenuation plaque(LAP)were higher in the DM+MACE group than in the DM group(P<0.05).The levels of positive reconstruction(PR),the proportion of antihypertensive drugs,CAD-RADS,CACS,residual cholesterol and apolipoprotein B were higher in the non-DM+MACE group than in the non-DM group(P<0.05).Cox proportional hazards regression analysis showed that CACS≥100(HR 2.151,95%CI 1.128~4.102,P=0.020)and LAP(HR 2.337,95%CI 1.032~5.290,P=0.042)were the influencing factors for MACE in patients with DM.PR(HR 124.305,95%CI 42.883~360.326,P<0.001)was the influencing factor for MACE in patients without DM.ROC curve analysis showed that the AUC of CACS combined with LAP were 0.606,0.609 and 0.660 for predicting MACE in DM patients within 1,3 and 5 years respectively.The AUC of PR for predicting MACE were 0.862,0.927,and 0.806 in the non-DM population within 1,3,and 5 years respectively.The predictive value of CACS and LAP for MACE in the DM patients was stable during the 5 years,while the predictive value of PR for MACE in the non-DM population decreased significantly after 4 years.Conclusions The predictive values of different plaque characteristics and CT derived parameters for future MACE are different between population with and without diabetes.The combination of CACS and low-attenuation plaques can effectively evaluate the risk of MACE in diabetic patients,while PR has a higher predictive value for MACE in non-diabetic patients.
4.The innovation exploration and challenges in AI empowered biotechnology and pharmaceuticals
Peixin LIU ; Minqing PAN ; Liwen LIU ; Lunwei LIU
Modern Hospital 2025;25(4):607-612,617
In recent years,Artificial Intelligence(AI)has been recognized as a key driving force behind the new wave of technological revolution and industrial transformation,gaining significant attention in national top-level strategic planning.Sup-ported by AI technologies,the biopharmaceutical industry has experienced rapidly development,with unprecedented transforma-tions in key areas such as drug discovery,disease diagnosis,bioinformatics,and personalized medicine.This paper primarily summarizes the latest research progress and contributions of AI in these key areas of the biopharmaceutical industry,showcasing the remarkable achievements of AI in the sector.At the same time,it analyzes the challenges faced by AI technologies in the bio-pharmaceutical field,including data privacy protection,algorithm interpretability,and technological ethics,and explores the ur-gent issues that need to be addressed.The paper also looks ahead to new opportunities for AI to further drive innovation and de-velopment in the biopharmaceutical field,offering new perspectives for applied research in this domain.
5.Application values of plaque features and derived parameters based on coronary CT angiography in predicting major adverse cardiovascular events in patients with and without diabetes mellitus
Ming CHEN ; Fusheng OUYANG ; Xiyi HUANG ; Jialing PAN ; Liwen WANG ; Lanni ZHOU ; Qiugen HU ; Baoliang GUO
Chinese Journal of Diabetes 2025;33(3):167-172
Objective To compare the application value of coronary computed tomography angiography(CCTA)based plaque characteristics and computed tomography(CT)derived parameters in predicting future major adverse cardiovascular events(MACE)between patients with and without diabetes mellitus.Methods A total of 425 patients who underwent CCTA in Shunde Hospital Affiliated to Southern Medical University from June 2016 to November 2016 were retrospectively analyzed.Patients were divided into DM group(n=120)and non-DM group(n=305)for follow-up.According to the occurrence of MACE during follow-up,patients were divided into DM group(n=81),DM+MACE group(n=39),non-DM group(n=39),non-DM group(n=244)and non-DM+MACE group(n=61).The differences in general characteristics,biochemical index and parameters in imaging were compared among the four groups.Cox proportional hazards regression analysis was used to analyze the influencing factors for MACE in the two populations.The receiver operating characteristic(ROC)curve was used to analyze the difference in the predictive value of different plaque characteristics and CT-derived parameters for MACE.Results The levels of coronary artery calcification score(CACS),and the proportion of low-attenuation plaque(LAP)were higher in the DM+MACE group than in the DM group(P<0.05).The levels of positive reconstruction(PR),the proportion of antihypertensive drugs,CAD-RADS,CACS,residual cholesterol and apolipoprotein B were higher in the non-DM+MACE group than in the non-DM group(P<0.05).Cox proportional hazards regression analysis showed that CACS≥100(HR 2.151,95%CI 1.128~4.102,P=0.020)and LAP(HR 2.337,95%CI 1.032~5.290,P=0.042)were the influencing factors for MACE in patients with DM.PR(HR 124.305,95%CI 42.883~360.326,P<0.001)was the influencing factor for MACE in patients without DM.ROC curve analysis showed that the AUC of CACS combined with LAP were 0.606,0.609 and 0.660 for predicting MACE in DM patients within 1,3 and 5 years respectively.The AUC of PR for predicting MACE were 0.862,0.927,and 0.806 in the non-DM population within 1,3,and 5 years respectively.The predictive value of CACS and LAP for MACE in the DM patients was stable during the 5 years,while the predictive value of PR for MACE in the non-DM population decreased significantly after 4 years.Conclusions The predictive values of different plaque characteristics and CT derived parameters for future MACE are different between population with and without diabetes.The combination of CACS and low-attenuation plaques can effectively evaluate the risk of MACE in diabetic patients,while PR has a higher predictive value for MACE in non-diabetic patients.
6.The innovation exploration and challenges in AI empowered biotechnology and pharmaceuticals
Peixin LIU ; Minqing PAN ; Liwen LIU ; Lunwei LIU
Modern Hospital 2025;25(4):607-612,617
In recent years,Artificial Intelligence(AI)has been recognized as a key driving force behind the new wave of technological revolution and industrial transformation,gaining significant attention in national top-level strategic planning.Sup-ported by AI technologies,the biopharmaceutical industry has experienced rapidly development,with unprecedented transforma-tions in key areas such as drug discovery,disease diagnosis,bioinformatics,and personalized medicine.This paper primarily summarizes the latest research progress and contributions of AI in these key areas of the biopharmaceutical industry,showcasing the remarkable achievements of AI in the sector.At the same time,it analyzes the challenges faced by AI technologies in the bio-pharmaceutical field,including data privacy protection,algorithm interpretability,and technological ethics,and explores the ur-gent issues that need to be addressed.The paper also looks ahead to new opportunities for AI to further drive innovation and de-velopment in the biopharmaceutical field,offering new perspectives for applied research in this domain.
7.Clinical features of IgA vasculitis with positive antineutrophil cytoplasmic antibody in children
Junli WAN ; Pan LI ; Liwen TAN ; Jia JIAO ; Qin YANG ; Cheng ZHONG ; Gaofu ZHANG ; Haiping YANG ; Qiu LI ; Mo WANG
Chinese Journal of Pediatrics 2025;63(9):972-979
Objective:To analyze the clinical features and risk factors for renal injury in children with antineutrophil cytoplasmic antibody (ANCA)-positive IgA vasculitis (IgAV).Methods:A case-control study was conducted. Seventy-two ANCA-positive IgAV children hospitalized at the Children′s Hospital of Chongqing Medical University from January 2017 to October 2022 were enrolled as the ANCA-positive group. Propensity score matching (1∶4) using the nearest neighbor was performed with age and gender as covariate, and 288 cases ANCA-negative IgAV children were included as the ANCA-negative group. Patients with renal injury were named ANCA-positive IgAV nephritis (IgAVN) group and ANCA-negative IgAVN group, respectively. The ANCA-positive IgAVN group was further divided into myeloperoxidase (MPO) group and proteinase 3 (PR3) group based on the type of ANCA. Clinical data including manifestations, laboratory tests, renal injury, and prognosis were collected. Comparisons between groups were performed using independent sample t-tests, Mann-Whitney U tests, χ2 tests, or Fisher′s exact tests. Kaplan-Meier curves were used to assess differences in the time to renal injury onset, and multivariate logistic regression was performed to identify independent risk factors for renal injury. Results:Among the 72 ANCA-positive IgAV children (41 males, 31 females, age of 7.7 (5.3, 11.2) years), no significant difference in age or gender was observed compared to the ANCA-negative group (both P>0.05). The ANCA-positive group had higher IgM levels, a higher incidence of recurrent rash, and shorter thrombin time (all P<0.05). Among children with renal injury, the ANCA-positive group showed significant differences in the incidence of hematuria, clinical classification, and grade A prognosis compared to the ANCA-negative group (all P<0.05), but no difference was found in the time to renal involvement onest or renal pathology (all P>0.05). The MPO group had higher rates of microscopic hematuria, gross hematuria, acute renal insufficiency, glomerular sclerosis, and grade B prognosis compared to the ANCA-negative IgAVN group (all P<0.05), with a later onset of renal involvement ( P<0.05). Elevated serum creatinine ( OR=1.08, 95% CI 1.03-1.14) and shortened thrombin time ( OR=0.71, 95% CI 0.55-0.92) were independent risk factors for renal injury in ANCA-positive IgAV children (all P<0.05). Conclusions:Children with ANCA-positive IgAV are more likely to experience recurrent rash. MPO-ANCA-positive IgAVN children have higher risks of hematuria, acute kidney injury and glomerular sclerosis, with later-onset but poorer renal prognosis compared to ANCA-negative IgAVN children. Higher serum creatinine levels and shorter thrombin time may be associated with renal injury in children with ANCA-positive IgAV.
8.Four-dimensional flow MRI evaluation of hemodynamic in transplant renal artery stenosis: a preliminary study
Liwen SHEN ; Zhaoyu XING ; Liang PAN ; Jie CHEN ; Songlin GUO ; Wei XING
Chinese Journal of Radiology 2025;59(3):286-292
Objective:To explore the value of four-dimensional flow (4D Flow) MRI in evaluating hemodynamic changes of transplant renal artery stenosis (TRAS).Methods:The study was a cross-sectional study. A retrospective analysis of 67 patients after renal transplantation was performed in Third Affiliated Hospital of Soochow University from January 2021 to October 2022. All patients were examined with non-contrast enhanced magnetic resonance angiography (NCE-MRA) and 4D Flow MRI. After NCE-MRA assessment, the patients were divided into a non stenosis group (39 cases), non-obvious stenosis group (stenosis degree<50%, 13 cases) and obvious stenosis group (stenosis degree≥50%, 15 cases). The 4D Flow MRI data were analyzed using the post-processing software CVI42 (Canada) to measure hemodynamic parameters of the transplanted renal artery in the non-stenosis group, as well as the proximal, central, and distal regions of the stenosis in the non-obvious stenosis group and obvious stenosis group. The parameters included net flow rate, maximum flow rate, average velocity, peak velocity, average wall shear stress, and maximum wall shear stress. One way analysis of variance and least significant difference (LSD) were used to test the differences of hemodynamic parameters among the three groups and between the proximal, central and distal regions of the stenosis. Pearson correlation coefficient was used to evaluate the correlation between hemodynamic parameters of transplant renal artery and estimated glomerular filtration rate (eGFR).Results:The net flow, maximum flow and average velocity at the proximal region of stenosis in the group with obvious stenosis of transplanted renal artery were significantly lower than those in the non-stenosis group and the non-obvious stenosis group (all P<0.05). The net flow and maximum flow at the distal region of stenosis in both obvious stenosis group and non-obvious stenosis group were lower than those in non-stenosis group, and the differences were statistically significant (both P<0.001). The mean velocity and peak velocity at the distal region of stenosis in the obvious stenosis group were higher than those in the non-stenosis group, and the differences were statistically significant (both P<0.05). The maximum and average wall shear stress at the distal region of stenosis in the obvious stenosis group were lower than those in the non-stenosis group and the non-obvious stenosis group, and the differences were statistically significant (both P<0.05). The net flow and maximum flow in the center region of stenosis were lower than those in the proximal region of stenosis, and the differences were statistically significant (both P<0.05). The peak velocity in the center region and distal region of stenosis was higher than those in the proximal region of stenosis, and the difference was statistically significant (both P<0.05). There was a positive correlation between the net flow and eGFR at the TRAS patients proximal, center, and distal stenosis ( r=0.270, 0.260, 0.320, respectively, P=0.044, 0.041, 0.036, respectively). There was a positive correlation between the maximum flow and eGFR at the TRAS patients proximal, center, and distal stenosis ( r=0.306, 0.276, 0.269, respectively, P=0.037, 0.041, 0.043, respectively). Conclusion:After TRAS, there is a significant change in blood flow status. The 4D Flow MRI can provide quantitative hemodynamic parameters to reflect the hemodynamic changes of TRAS.
9.Application value of CT extracellular volume fraction in diagnosis and classification of acute pancreatitis
Liwen WANG ; Fusheng OUYANG ; Xiyi HUANG ; Jialing PAN ; Ming CHEN ; Lanni ZHOU ; Qiugen HU ; Baoliang GUO
Journal of Practical Radiology 2024;40(7):1091-1095
Objective To investigate the application value of extracellular volume fraction(ECV)obtained from enhanced CT in diagnosis and classification of acute pancreatitis.Methods The clinical data from patients with acute pancreatitis(acute pancreatitis group)and normal controls(control group)underwent enhanced CT were analyzed retrospectively.The CT values of pancreas and abdominal aorta in the same sclice on precontrast and equilibrium-phase images were measured,and then pancreatic ECV was calcu-lated.The measured parameters were compared between the groups of control and acute pancreatitis,and subgroups of non-severe and severe pancreatitis.The logistic regression analysis was used to identify the risk factors for acute pancreatitis and severe pancrea-titis,and the receiver operating characteristic(ROC)curve was used to analyze the diagnostic efficiency in diagnosis and classifica-tion of acute pancreatitis.Results The pancreatic CT value and ECV were independent risk factors for acute pancreatitis(P<0.05),and the ECV was an independent risk factor for severe pancreatitis(P<0.05).The area under the curve(AUC)of ECV was higher in acute pancreatitis group(0.81)and severe pancreatitis subgroup(0.68).Conclusion As a quantitative parameter,the ECV obtained from enhanced CT has higher clinical application value and higher popularity in the diagnosis and classification of acute pancreatitis.
10.Analysis of early acute gastrointestinal injury and its influencing factors in patients with extracorporeal membrane oxygenation
Wenxue JIANG ; Chunxi PAN ; Yanlin WEI ; Qiao WEI ; Chi WANG ; Mingyu PEI ; Liwen LYU
Chinese Journal of Emergency Medicine 2024;33(2):210-214
Objective:To investigate the acute gastrointestinal injury (AGI) in patients with extracorporeal membrane oxygenation (ECMO) at the early stage of operation and its influencing factors.Methods:A total of 70 patients with ECMO who were hospitalized in the Emergency Care Unit of Guangxi Zhuang Autonomous Region People's Hospital from September 2020 to December 2021 were retrospectively analyzed, and a total of 70 patients with ECMO who were hospitalized in the emergency care unit of Guangxi Zhuang Autonomous Region People's Hospital from September 2020 to December 2021 were retrospectively analyzed. According to the 2012 guidelines of the European Society of Intensive Care Medicine on the classification of acute gastrointestinal injury in critically ill patients, the patients were divided into AGI group and non-AGI group. The incidence of acute gastrointestinal injury in the early stage was statistically analyzed, and the results of blood gas analysis during ECMO loading and ECMO parameters, hemodynamic indexes and biochemical indexes after ECMO transfer were statistically analyzed. To explore the influencing factors and independent risk factors of AGI in the early stage. In addition, 70 patients were divided into successful group and non-successful group according to whether they were successfully withdrawn. The occurrence of acute gastrointestinal injury between the two groups was compared, and the effect of acute gastrointestinal injury on ECMO patients was analyzed.Results:Among the 70 ECMO patients, the incidence of early AGI was 71.43% (50 cases), and the components of AGI Ⅰ, Ⅱ, Ⅲ and Ⅳ were 18.57% (13 cases), 41.43% (29 cases), 11.43% (8 cases) and 0% (0 cases), respectively. ① Univariate analysis showed that systolic blood pressure, diastolic blood pressure, mean arterial pressure (MAP), vasoactive drug index (VIS), pH, lactic acid and BMI were significantly different between AGI group and non-AGI group when ECMO was used ( P < 0.05). Logistic binary regression analysis showed that BMI was an independent risk factor for early AGI in ECMO patients (ROC area 0.657, 95% confidence interval 0.522-0.791 ( P < 0.05), and Yoden index 0.15). (3) The AGI composition ratio of the unsuccessful group was higher than that of the unsuccessful group ( P < 0.05). Conclusions:Patients with ECMO have a high incidence of AGI in the early stage, mainly occurring in grade I and Ⅱ. Systolic blood pressure, diastolic blood pressure, MAP, VIS, pH, lactic acid and BMI when ECMO is put on are influential factors for the early development of AGI in ECMO patients, among which BMI is an independent risk factor for the early development of AGI in ECMO patients. The occurrence of AGI reduces the probability of successful withdrawal in ECMO patients.

Result Analysis
Print
Save
E-mail