Objective To evaluate the clinical efficacy of Shengqing Jiangzhuo(lifting lucid yang and lowering turbid yin)Acupuncture Method,based on the"turbidity-clearness interaction"theory,combined with western medicine in treating gouty nephropathy(GN)patients with damp-heat accumulation syndrome.Methods A total of 117 patients diagnosed with GN from September 2023 to September 2024 at the First Affiliated Hospital of Guangzhou University of Chinese Medicine Chongqing Hospital were enrolled and randomly divided into three groups,with 39 cases in each group.The western medicine group received Febuxostat Tablets,the control group was given western medicine+conventional acupuncture,and observation group was given western medicine+Shengqing Jiangzhuo Acupuncture Method.All groups received 4 weeks of treatment.Clinical efficacy,traditional Chinese medicine(TCM)syndrome scores,visual analogue scale(VAS)of pain scores,and laboratory parameters—including serum uric acid(UA),blood urea nitrogen(BUN),creatinine(Scr),estimated glomerular filtration rate(eGFR),β2-microglobulin(β2-MG),24-hour urinary protein(24h-UTP),cystatin C(CysC)were assessed.The erythrocyte sedimentation rate(ESR),and C-reactive protein(CRP)were compared before and after treatment.Results(1)The total effective rate was 71.79%(28/39)in the western medicine group,84.62%(33/39)in the control group,and 92.31%(36/39)in the observation group.The observation group demonstrated statistically significant superiority over the western medicine group(P＜0.05),while showing marginally better efficacy than the control group without statistical significance(P＞0.05).(2)After treatment,all three groups exhibited significant improvements in ESR,CRP,and UA levels(P＜0.05).The observation group significantly outperformed the other two groups in reducing ESR and CRP levels(P＜0.05),and was statistically superior to the western medicine group in lowering UA levels(P＜0.05),though no significant difference was observed versus the control group for UA improvement(P＞0.05).The control group showed significantly greater reductions in ESR,CRP,and UA levels than the western medicine group(P＜0.05).(3)After treatment,Scr,BUN,and eGFR levels were significantly improved in all groups(P＜0.05).The observation group achieved significantly better improvements in Scr and eGFR than the other two groups(P＜0.05).However,no statistical difference existed between the control and western medicine groups for Scr or eGFR enhancement(P＞0.05).No intergroup differences were detected in BUN improvement(P＞0.05).(4)Significant differences emerged in β2-MG and CysC levels among all groups after treatment(P＜0.05).Both observation and control groups demonstrated statistically significant improvements in 24-hour 24h-UTP(P＜0.05),whereas the western medicine group showed no significant change(P＞0.05).The observation group significantly outperformed the other groups in reducing 24h-UTP and β2-MG levels(P＜0.05),and was superior to the western medicine group in lowering CysC(P＜0.05),though no difference versus the control group was observed for CysC reduction(P＞0.05).The control group showed no statistical advantage over the western medicine group in improving 24h-UTP,β 2-MG,or CysC(P＞0.05).(5)After treatment,TCM syndrome scores and VAS scores were significantly improved in all groups(P＜0.05).The observation group achieved significantly greater reductions in TCM syndrome scores and VAS scores than the western medicine group(P＜0.05).The control group showed statistically superior VAS score improvement versus the western medicine group(P＜0.05),but no significant differences emerged in TCM syndrome score improvement compared to either group(P＞0.05).No statistical difference existed between observation and control groups for VAS score reduction(P＞0.05).Conclusion Shengqing Jiangzhuo Acupuncture Method,grounded in the"turbidity-clearness interaction"theory,effectively reduces serum UA,controls inflammation,and preserves renal function in damp-heat accumulation type of GN,demonstrating significant therapeutic benefits.

Objective:To compare the effects of using cone beam CT (CBCT) and oral scanning registration on implant positional accuracy during robot-assisted implant surgery, and to provide a basis for selecting the appropriate registration for robot-assisted implant surgical options.Methods:One patient with dentition defect, specifically missing teeth at positions 21 and 26 and having natural teeth adjacent mesially and distally to the edentulous area, who visited the Department of Oral Implantology, School of Hospital of Stomatology Wuhan University in 2024 were selected. Based on reconstructed imaging data, 30 identical jaw models were printed. These models were divided into a CBCT registration group and an intra-oral scanning registration group (15 models per group). An associate chief physician with extensive experience in implant surgery performed preoperative registration using the implant robot and completed the implant surgeries. Postoperative CBCT scans were used to determine the three-dimensional position of the implants. The deviations between the planned implant position and the actual position were evaluated, including deviations at the implantation point, apical point, and angular deviation. The differences between the two groups were compared.Results:The implantation deviation was 0.675 (0.490) mm, apical deviation was (0.680±0.272) mm, and the angular deviation was 0.566°±0.147° in the CBCT registration group, and in the intra-oral scanning registration group, implantation deviation was 0.695 (0.313) mm, apical deviation was (0.667±0.217) mm, and the angular deviation was 0.523°±0.168°. There was no statistically significant error in implant precision between the two groups ( P>0.05). Conclusions:This in vitro experiment found that the use of intra-oral scanning registration in robot-assisted implant surgery can achieve similar implant placement accuracy as CBCT registration.

Objective:To explore the construction and validation of a nomogram model for predicting poor survival prognosis in patients with clear cell renal cell carcinoma（ccRCC）based on deep learning of pathological images.Methods:This study was an observational cohort study. The original pathological images and clinicopathological data（TCGA cohort）of 378 patients with ccRCC were obtained from the Cancer Genome Atlas Database（TCGA）for model training. A total of 301 patients with ccRCC who underwent surgical treatment at Renji Hospital Affiliated to Shanghai Jiaotong University School of Medicine from January 2010 to December 2020（Renji cohort）and 214 patients with ccRCC who underwent surgical treatment at the First People’s Hospital Affiliated to Shanghai Jiaotong University School of Medicine from January 2012 to December 2018（General cohort）were included for model validation. Their original pathological images and clinical pathological data were collected. A clustering-constrained attention and multi-instance learning method was used to accurately identify sub-regions of the images to classify and extract features of the pathological images. A deep learning-based disease-free survival prognosis prediction model（DL-DFS）was constructed through a weakly supervised learning strategy. The clinical pathological features and DL-DFS were further combined to construct a nomogram model for the clinical prognosis of ccRCC patients. Univariate and multivariate Cox regression analyses were employed to evaluate the independent risk factors for disease-free survival（DFS）. The efficacy of the predictive model were evaluated by the receiver operating characteristic curve（ROC）with area under the curve（AUC），respectively. Survival analysis was conducted using the Kaplan-Meier curve.Results:DL-DFS could accurately predict the DFS status of ccRCC patients in 5 years after surgery. Through ROC analysis in the training cohort，the AUC value reached 0.75（ P < 0.001）. In the Renji cohort and the General cohort，the AUC values were 0.65（ P < 0.001）and 0.81（ P < 0.001），respectively. Through Kaplan-Meier survival analysis，we found that DL-DFS could identify ccRCC patients with high survival risks. The hazard ratio in the training cohort was 3.86（95% CI 2.36-6.30， P < 0.001）. The hazard ratio in the Renji cohort and General cohort were 1.97（95% CI 1.03-3.80， P = 0.009）and 4.66（95% CI 1.80-12.06， P = 0.008），respectively. Univariate and multivariate Cox regression analyses indicated that DL-DFS risk score，tumor grade，and tumor stage could act as prognostic risk factors for patients with ccRCC（ P < 0.05）. Considering that age was a common prognostic risk factor for patients with renal cancer，a nomogram model was constructed by combining the DL-DFS risk score with patient age，tumor grade，and tumor stage. The AUC of this model for predicting the 5-year DFS of ccRCC patients after surgery was 0.87，which was significantly higher than that of DL-DFS（AUC = 0.74），tumor stage（AUC = 0.84），tumor grade（AUC = 0.72），and patient age（AUC = 0.56）in the TCGA cohort（all P<0.05）. In the Renji cohort and the General cohort，the AUC of the nomogram model were 0.78 and 0.86 respectively，which was significantly higher than that of DL-DFS（0.65 and 0.81），tumor stage（0.72 and 0.69），tumor grade（0.64 and 0.77），and patient age（0.56 and 0.63）. Conclusions:In this study a DL-DFS for ccRCC patients was constructed. Then a nomogram model was constructed by combining the DL-DFS risk value with patient age，tumor grade，and tumor stage. This nomogram model demonstrated superior predictive performance compared to DL-DFS alone in evaluating the DFS prognosis of ccRCC patients，which still needs to be further verified in prospective clinical studies.

Objective:To compare the effects of using cone beam CT (CBCT) and oral scanning registration on implant positional accuracy during robot-assisted implant surgery, and to provide a basis for selecting the appropriate registration for robot-assisted implant surgical options.Methods:One patient with dentition defect, specifically missing teeth at positions 21 and 26 and having natural teeth adjacent mesially and distally to the edentulous area, who visited the Department of Oral Implantology, School of Hospital of Stomatology Wuhan University in 2024 were selected. Based on reconstructed imaging data, 30 identical jaw models were printed. These models were divided into a CBCT registration group and an intra-oral scanning registration group (15 models per group). An associate chief physician with extensive experience in implant surgery performed preoperative registration using the implant robot and completed the implant surgeries. Postoperative CBCT scans were used to determine the three-dimensional position of the implants. The deviations between the planned implant position and the actual position were evaluated, including deviations at the implantation point, apical point, and angular deviation. The differences between the two groups were compared.Results:The implantation deviation was 0.675 (0.490) mm, apical deviation was (0.680±0.272) mm, and the angular deviation was 0.566°±0.147° in the CBCT registration group, and in the intra-oral scanning registration group, implantation deviation was 0.695 (0.313) mm, apical deviation was (0.667±0.217) mm, and the angular deviation was 0.523°±0.168°. There was no statistically significant error in implant precision between the two groups ( P>0.05). Conclusions:This in vitro experiment found that the use of intra-oral scanning registration in robot-assisted implant surgery can achieve similar implant placement accuracy as CBCT registration.

Objective:To explore the construction and validation of a nomogram model for predicting poor survival prognosis in patients with clear cell renal cell carcinoma（ccRCC）based on deep learning of pathological images.Methods:This study was an observational cohort study. The original pathological images and clinicopathological data（TCGA cohort）of 378 patients with ccRCC were obtained from the Cancer Genome Atlas Database（TCGA）for model training. A total of 301 patients with ccRCC who underwent surgical treatment at Renji Hospital Affiliated to Shanghai Jiaotong University School of Medicine from January 2010 to December 2020（Renji cohort）and 214 patients with ccRCC who underwent surgical treatment at the First People’s Hospital Affiliated to Shanghai Jiaotong University School of Medicine from January 2012 to December 2018（General cohort）were included for model validation. Their original pathological images and clinical pathological data were collected. A clustering-constrained attention and multi-instance learning method was used to accurately identify sub-regions of the images to classify and extract features of the pathological images. A deep learning-based disease-free survival prognosis prediction model（DL-DFS）was constructed through a weakly supervised learning strategy. The clinical pathological features and DL-DFS were further combined to construct a nomogram model for the clinical prognosis of ccRCC patients. Univariate and multivariate Cox regression analyses were employed to evaluate the independent risk factors for disease-free survival（DFS）. The efficacy of the predictive model were evaluated by the receiver operating characteristic curve（ROC）with area under the curve（AUC），respectively. Survival analysis was conducted using the Kaplan-Meier curve.Results:DL-DFS could accurately predict the DFS status of ccRCC patients in 5 years after surgery. Through ROC analysis in the training cohort，the AUC value reached 0.75（ P < 0.001）. In the Renji cohort and the General cohort，the AUC values were 0.65（ P < 0.001）and 0.81（ P < 0.001），respectively. Through Kaplan-Meier survival analysis，we found that DL-DFS could identify ccRCC patients with high survival risks. The hazard ratio in the training cohort was 3.86（95% CI 2.36-6.30， P < 0.001）. The hazard ratio in the Renji cohort and General cohort were 1.97（95% CI 1.03-3.80， P = 0.009）and 4.66（95% CI 1.80-12.06， P = 0.008），respectively. Univariate and multivariate Cox regression analyses indicated that DL-DFS risk score，tumor grade，and tumor stage could act as prognostic risk factors for patients with ccRCC（ P < 0.05）. Considering that age was a common prognostic risk factor for patients with renal cancer，a nomogram model was constructed by combining the DL-DFS risk score with patient age，tumor grade，and tumor stage. The AUC of this model for predicting the 5-year DFS of ccRCC patients after surgery was 0.87，which was significantly higher than that of DL-DFS（AUC = 0.74），tumor stage（AUC = 0.84），tumor grade（AUC = 0.72），and patient age（AUC = 0.56）in the TCGA cohort（all P<0.05）. In the Renji cohort and the General cohort，the AUC of the nomogram model were 0.78 and 0.86 respectively，which was significantly higher than that of DL-DFS（0.65 and 0.81），tumor stage（0.72 and 0.69），tumor grade（0.64 and 0.77），and patient age（0.56 and 0.63）. Conclusions:In this study a DL-DFS for ccRCC patients was constructed. Then a nomogram model was constructed by combining the DL-DFS risk value with patient age，tumor grade，and tumor stage. This nomogram model demonstrated superior predictive performance compared to DL-DFS alone in evaluating the DFS prognosis of ccRCC patients，which still needs to be further verified in prospective clinical studies.

OBJECTIVETo correlate the clinical features of patients with acute myeloid leukemia (AML) with mutations of FLT3-ITD, NPM1, CEBPA, c-KIT, DNMT3A and ND4 genes as well as chromosomal aberrations.

METHODSSomatic mutations of aforementioned genes in 412 newly diagnosed AML patients were detected with PCR and direct sequencing. All patients were also subjected to R-banding chromosomal analysis. The results were correlated with the clinical features and prognosis of the patients.

RESULTSThe mutation rates of FLT3-ITD, NPM1, CEBPA, c-KIT, DNMT3A and ND4 were 9.0% (26/289), 19.1% (50/262), 18.9% (34/180), 3.4% (7/208), 6.6% (9/137) and 6.9% (4/58), respectively. Patients with poor prognosis based on genetic mutations had lower blood platelet count than those with intermediate and good prognosis (P=0.001 and P=0.001, respectively). None of the three groups attained median overall survival (OS) (P> 0.05). The complete remission (CR) was similar among the three groups (P> 0.05). For patients with different prognosis based on cytogenetic findings, white blood cell count in those with intermediate prognosis was higher than those with good and poor prognosis (P< 0.001 and P=0.004, respectively), while the blood platelet count of the intermediate group was higher than that of the group with good prognosis (P=0.018). No significant difference was found among the three groups in terms of hemoglobin level (P> 0.05). The group with poor prognosis has attained shorter OS compared with those with good and intermediate prognosis (P< 0.001 and P=0.003, respectively). However, the CR rate of the group with good prognosis was higher than that of the intermediate group (P=0.001). For the group with intermediate prognosis, presence of genetic mutations did not correlate with the clinic characteristics such as white blood cell count, blood platelet count, hemoglobin level, OS and CR rate (P> 0.05 for all comparisons).

CONCLUSIONGenetic mutations combined with cytogenetic analysis can facilitate the prognosis and personalized treatment for patients with AML.

Adolescent ; Adult ; Aged ; Aged, 80 and over ; Child ; Child, Preschool ; Female ; Humans ; Infant ; Leukemia, Myeloid, Acute ; genetics ; mortality ; Male ; Middle Aged ; Mutation ; Prognosis ; Young Adult

Objective To investigate the effect ofdiammonium glycyrrhizinate on neurovascular units in rats after cerebral ischemia reperfusion (IR) injury.Methods Two hundred and forty health SD rats were randomly assigned into normal control group (n=30),sham-operated group (n=30),IR group (n=90) and diammonium glycyrrhizinate group (DG,n=90).The rats in the IR group and DG group were divided into 2,6 and 12 h subgroups after modeling,respectively (n=30).The rats in the IR group and DG group were induced middle cerebral artery occlusion (MCAO) models,and after the models were successfully established,9.11 mL DG sodium chloride injection was given to DG group,while equal saline to normal group,sham-operated group and IR group via the tail vein.The brain tissues of each group were harvested 2,6 and 12 h,resperctively,after modeling.The infraction rate was measured by TTC staining;immunohistochemistry was employed to detect the expresions of Claudin-5 and vessel endothelium (VE)-Cadherin;Western blotting was used to detect the protein expression levels of Rac-1 and Claudin-5.Results The DG group had signficantly lower infarction rate than IR group 2,6 and 12 h after modeling (P＜0.05).The Claudin-5 expression rates in the 6 h and 12 h DG subgroups were signficantly higher than those in the 6 h and 12 h IR subgroups (P＜0.05).The VE-Cadherin expression rates in the DG group were significantly higher than that in IR group at 2,6 and 12 h after modeling (P＜0.05).Samely,the Claudin-5 relative quantity in DG group was significantly higher than that in IR group at 2,6 and 12 h after modeling (P＜0.05).The Rac-1 quantity in DG group was only statistically higher than IR group at 2 h after modeling (P＜0.05).Conclusion The DG can upregulate the Rac-1,VE-Cadherin and Claduin-5 expressions in neurovascutar units,and partly protect neurovascular units after cere bral acute IR injury.

ObjectiveTo evaluate the long-term outcomes of carotid endarterectomy versus carotid artery stenting for carotid stenosis.MethodsPubMed, EMBASE, and the Cochrane databases were retrieved.The randomized controlled trials of comparing CEA with CAS in patients with carotid artery stenosis were enrolled.The data such as the research basic characteristics and the long-term outcomes including stroke or death combined endpoints, any stroke or any death were extracted.The Stata software was used to conduct statistical analysis.ResultsA total of 7 randomized controlled trials and 8 210 patients were included.The median follow-up time was 2-7.4 years.The overall quality of the included studies was high and the risk of bias was low.The meta-analysis showed that the risks of the combined endpoint of stroke or death (hazard risk [HR] 1.21, 95% confidence interval [CI] 1.04-1.39), any stroke (HR 1.32, 95% CI 1.15-1.51) and ipsilateral stroke (HR 1.26, 95% CI 1.02-1.55) in the CAS group were significantly higher than those in the CEA group;the risks of death (HR 1.06, 95% CI 0.95-1.18), disabling stroke (HR 1.23, 95% CI 0.95-1.60), non-ipsilateral stroke (HR 1.12,95% CI 0.81-1.55) and restenosis (HR 1.18,95% CI 0.91-1.52) were not significantly different between between the CAS group and the CEA group.Conclusions CAS and CEA are associated with similar risks of long-term death, disabling stroke, non-ipsilateral stroke and restenosis.The risks of long-term combined endpoint of stroke or death, any stroke and ipsilateral stroke significantly higher with CAS.These results suggest that CEA remains the treatment of choice for carotid stenosis.

Objective To evaluate the efficacy and safety of endovascular mechanical thrombectomy in patients with anterior circulation stroke. Methods PubMed, EMBASE, Cochrane database, Clinical Trials and the related supplement resources were retrieved. The randomized controled trials for comparing intravenous thrombolysis and endovascular mechanical thrombectomy in patients with anterior circulation stroke were selected. The bias risk assessment was performed. The basic characteristics of studies and the clinical outcome data at day 90, including good outcome (defined as the modified Rankin scale score 0-2), death and symptomatic intracranial hemorrhage (sICH) were extracted. Review Manager 5.3 software was used to conduct the statistical analysis. Results A total of 10 articles were enroled, including 1 557 patients in the endovascular mechanical thrombectomy group and 1 359 in the intravenous thrombolysis group. The overal quality of the included trials was higher. The risk of bias was lower. The good outcome rate in the endovascular mechanical thrombectomy group was significantly higher than that in the intravenous thrombolysis group (odds ratio [ OR] 2. 15, 95% confidence interval [ CI] 1. 34-3. 46; P < 0. 01). The death risk at day 90 was significantly lower than that in the intravenous thrombolysis group (OR 0. 86, 95% CI 0. 69-1. 06; P = 0. 16), and there was borderline statistical significance for the risk of sICH (OR 1. 35, 95% CI 1. 00- 1. 84; P = 0. 05 ). Conclusions The effectiveness of the endovascular mechanical thrombectomy is superior to the intravenous thrombolysis in patients with anterior circulation stroke;however, in terms of safety, further evaluation is needed.

A cerebral arteriovenous malformation is a congenital disorder characterised by an abnormal connection between the arteries and the veins in the brain. It causes intracranial bleeding, seizures, severe headache, and progressive neurological deficits. The therapeutic strategies were usually established on the basis of clinical experiences due to lack of ideal models of arteriovenous malformation in the past .In order to further increase the success rate of surgery and decrease complications, this article reviews the advances in establishment and application of animal models of cerebral arteriovenous malformation in recent years.