Objective: This study investigated the value of multiparametric MRI (mpMRI) in predicting Gleason score (GS) upgrading and downgrading in radical prostatectomy (RP) compared with presurgical biopsy. Materials and Methods: Clinical and mpMRI data were retrospectively collected from 219 patients with prostate disease between January 2015 and December 2021. All patients underwent systematic prostate biopsy followed by RP. MpMRI included conventional diffusion-weighted and dynamic contrast-enhanced imaging. Multivariable logistic regression analysis was performed to analyze the factors associated with GS upgrading and downgrading after RP. Receiver operating characteristic curve analysis was used to estimate the area under the curve (AUC) to indicate the performance of the multivariable logistic regression models in predicting GS upgrade and downgrade after RP. Results: The GS after RP was upgraded, downgraded, and unchanged in 92, 43, and 84 patients, respectively. The AUCs of the clinical (percentage of positive biopsy cores [PBCs], time from biopsy to RP) and mpMRI models (prostate cancer [PCa] location, Prostate Imaging Reporting and Data System [PI-RADS] v2.1 score) for predicting GS upgrading after RP were 0.714 and 0.749, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, tPSA, PCa location, and PIRADS v2.1 score) was 0.816, which was larger than that of the clinical factors alone (P < 0.001). The AUCs of the clinical (age, percentage of PBCs, ratio of free/total PSA [F/T]) and mpMRI models (PCa diameter, PCa location, and PI-RADS v2.1 score) for predicting GS downgrading after RP were 0.749 and 0.835, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, F/T, PCa diameter, PCa location, and PI-RADS v2.1 score) was 0.883, which was larger than that of the clinical factors alone (P < 0.001). Conclusion Combining clinical factors and mpMRI findings can predict GS upgrade and downgrade after RP more accurately than using clinical factors alone.

Objective: This study investigated the value of multiparametric MRI (mpMRI) in predicting Gleason score (GS) upgrading and downgrading in radical prostatectomy (RP) compared with presurgical biopsy. Materials and Methods: Clinical and mpMRI data were retrospectively collected from 219 patients with prostate disease between January 2015 and December 2021. All patients underwent systematic prostate biopsy followed by RP. MpMRI included conventional diffusion-weighted and dynamic contrast-enhanced imaging. Multivariable logistic regression analysis was performed to analyze the factors associated with GS upgrading and downgrading after RP. Receiver operating characteristic curve analysis was used to estimate the area under the curve (AUC) to indicate the performance of the multivariable logistic regression models in predicting GS upgrade and downgrade after RP. Results: The GS after RP was upgraded, downgraded, and unchanged in 92, 43, and 84 patients, respectively. The AUCs of the clinical (percentage of positive biopsy cores [PBCs], time from biopsy to RP) and mpMRI models (prostate cancer [PCa] location, Prostate Imaging Reporting and Data System [PI-RADS] v2.1 score) for predicting GS upgrading after RP were 0.714 and 0.749, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, tPSA, PCa location, and PIRADS v2.1 score) was 0.816, which was larger than that of the clinical factors alone (P < 0.001). The AUCs of the clinical (age, percentage of PBCs, ratio of free/total PSA [F/T]) and mpMRI models (PCa diameter, PCa location, and PI-RADS v2.1 score) for predicting GS downgrading after RP were 0.749 and 0.835, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, F/T, PCa diameter, PCa location, and PI-RADS v2.1 score) was 0.883, which was larger than that of the clinical factors alone (P < 0.001). Conclusion Combining clinical factors and mpMRI findings can predict GS upgrade and downgrade after RP more accurately than using clinical factors alone.

Objective: This study investigated the value of multiparametric MRI (mpMRI) in predicting Gleason score (GS) upgrading and downgrading in radical prostatectomy (RP) compared with presurgical biopsy. Materials and Methods: Clinical and mpMRI data were retrospectively collected from 219 patients with prostate disease between January 2015 and December 2021. All patients underwent systematic prostate biopsy followed by RP. MpMRI included conventional diffusion-weighted and dynamic contrast-enhanced imaging. Multivariable logistic regression analysis was performed to analyze the factors associated with GS upgrading and downgrading after RP. Receiver operating characteristic curve analysis was used to estimate the area under the curve (AUC) to indicate the performance of the multivariable logistic regression models in predicting GS upgrade and downgrade after RP. Results: The GS after RP was upgraded, downgraded, and unchanged in 92, 43, and 84 patients, respectively. The AUCs of the clinical (percentage of positive biopsy cores [PBCs], time from biopsy to RP) and mpMRI models (prostate cancer [PCa] location, Prostate Imaging Reporting and Data System [PI-RADS] v2.1 score) for predicting GS upgrading after RP were 0.714 and 0.749, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, tPSA, PCa location, and PIRADS v2.1 score) was 0.816, which was larger than that of the clinical factors alone (P < 0.001). The AUCs of the clinical (age, percentage of PBCs, ratio of free/total PSA [F/T]) and mpMRI models (PCa diameter, PCa location, and PI-RADS v2.1 score) for predicting GS downgrading after RP were 0.749 and 0.835, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, F/T, PCa diameter, PCa location, and PI-RADS v2.1 score) was 0.883, which was larger than that of the clinical factors alone (P < 0.001). Conclusion Combining clinical factors and mpMRI findings can predict GS upgrade and downgrade after RP more accurately than using clinical factors alone.

Objective: This study investigated the value of multiparametric MRI (mpMRI) in predicting Gleason score (GS) upgrading and downgrading in radical prostatectomy (RP) compared with presurgical biopsy. Materials and Methods: Clinical and mpMRI data were retrospectively collected from 219 patients with prostate disease between January 2015 and December 2021. All patients underwent systematic prostate biopsy followed by RP. MpMRI included conventional diffusion-weighted and dynamic contrast-enhanced imaging. Multivariable logistic regression analysis was performed to analyze the factors associated with GS upgrading and downgrading after RP. Receiver operating characteristic curve analysis was used to estimate the area under the curve (AUC) to indicate the performance of the multivariable logistic regression models in predicting GS upgrade and downgrade after RP. Results: The GS after RP was upgraded, downgraded, and unchanged in 92, 43, and 84 patients, respectively. The AUCs of the clinical (percentage of positive biopsy cores [PBCs], time from biopsy to RP) and mpMRI models (prostate cancer [PCa] location, Prostate Imaging Reporting and Data System [PI-RADS] v2.1 score) for predicting GS upgrading after RP were 0.714 and 0.749, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, tPSA, PCa location, and PIRADS v2.1 score) was 0.816, which was larger than that of the clinical factors alone (P < 0.001). The AUCs of the clinical (age, percentage of PBCs, ratio of free/total PSA [F/T]) and mpMRI models (PCa diameter, PCa location, and PI-RADS v2.1 score) for predicting GS downgrading after RP were 0.749 and 0.835, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, F/T, PCa diameter, PCa location, and PI-RADS v2.1 score) was 0.883, which was larger than that of the clinical factors alone (P < 0.001). Conclusion Combining clinical factors and mpMRI findings can predict GS upgrade and downgrade after RP more accurately than using clinical factors alone.

Objective: This study investigated the value of multiparametric MRI (mpMRI) in predicting Gleason score (GS) upgrading and downgrading in radical prostatectomy (RP) compared with presurgical biopsy. Materials and Methods: Clinical and mpMRI data were retrospectively collected from 219 patients with prostate disease between January 2015 and December 2021. All patients underwent systematic prostate biopsy followed by RP. MpMRI included conventional diffusion-weighted and dynamic contrast-enhanced imaging. Multivariable logistic regression analysis was performed to analyze the factors associated with GS upgrading and downgrading after RP. Receiver operating characteristic curve analysis was used to estimate the area under the curve (AUC) to indicate the performance of the multivariable logistic regression models in predicting GS upgrade and downgrade after RP. Results: The GS after RP was upgraded, downgraded, and unchanged in 92, 43, and 84 patients, respectively. The AUCs of the clinical (percentage of positive biopsy cores [PBCs], time from biopsy to RP) and mpMRI models (prostate cancer [PCa] location, Prostate Imaging Reporting and Data System [PI-RADS] v2.1 score) for predicting GS upgrading after RP were 0.714 and 0.749, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, tPSA, PCa location, and PIRADS v2.1 score) was 0.816, which was larger than that of the clinical factors alone (P < 0.001). The AUCs of the clinical (age, percentage of PBCs, ratio of free/total PSA [F/T]) and mpMRI models (PCa diameter, PCa location, and PI-RADS v2.1 score) for predicting GS downgrading after RP were 0.749 and 0.835, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, F/T, PCa diameter, PCa location, and PI-RADS v2.1 score) was 0.883, which was larger than that of the clinical factors alone (P < 0.001). Conclusion Combining clinical factors and mpMRI findings can predict GS upgrade and downgrade after RP more accurately than using clinical factors alone.

Our previous research demonstrated that the Wenxia Changfu Formula (WCF), as a neoadjuvant therapy, inhibits M2 macrophage infiltration in the tumor microenvironment and prevents lung cancer metastasis. Given tumor-associated macrophages (TAMs) in epithelial-mesenchymal transition (EMT), this study investigated whether WCF impedes lung cancer metastasis by attenuating TAM-induced EMT in non-small cell lung cancer (NSCLC) cells. Utilizing a co-culture model treated with or without WCF, we observed that WCF downregulated cluster of differentiation 163 (CD163) expression in macrophages, reduced CCL18 levels in the conditioned medium, and inhibited the growth, invasion, and EMT of NSCLC cells induced by macrophage co-culture. Manipulation of CCL18 levels and Src overexpression in NSCLC cells revealed that WCF's effects are mediated through CCL18 and Src signaling. In vivo, WCF inhibited recombinant CCL18 (rCCL18)-induced tumor metastasis in nude mice by blocking Src signaling. These findings indicate that WCF inhibits NSCLC metastasis by impeding TAM-induced EMT via antagonistic modulation of CCL18, providing evidence for its potential development and clinical application in NSCLC patients.
Epithelial-Mesenchymal Transition/drug effects* ; Carcinoma, Non-Small-Cell Lung/metabolism* ; Humans ; Animals ; Lung Neoplasms/metabolism* ; Chemokines, CC/antagonists & inhibitors* ; Mice ; Mice, Nude ; Drugs, Chinese Herbal/administration & dosage* ; Cell Line, Tumor ; Neoplasm Metastasis ; Tumor-Associated Macrophages/drug effects* ; Mice, Inbred BALB C ; Signal Transduction/drug effects*

Objective:To investigate the effectiveness of teaching with regular two-way quality feedback combined with the Balint group technique for improving the core competencies of nurses in the department of cardiology.Methods:From June 2021 to July 2023, we assigned 118 nurses in the department of cardiology of our hospital into control group ( n=59, receiving teaching with regular two-way quality feedback) and study group ( n=59, receiving teaching with regular two-way quality feedback combined with the Balint group technique). The two groups were compared in terms of theoretical and practical assessment results, core competencies, empathic skills, and patient satisfaction with nursing. SPSS 22.0 software was used to conduct the t test and chi-square test. Results:After 2 months of intervention, the study group showed a significantly higher theoretical score [(94.23±4.36) vs. (91.54±3.14), P<0.05] and a significantly higher practical score [(98.67±1.08) vs. (97.54±1.21), P<0.05] than the control group. Both groups showed significant improvements in the dimension scores of the core competency scale and the total score and dimension scores of the empathy scale, and the research group was superior to the control group (all P<0.05). Patient satisfaction with nursing quality was significantly better for the study group than for the control group ( P>0.05). Conclusions:Teaching with regular two-way quality feedback combined with the Balint group technique is effective for improving the core competencies and empathic skills of cardiovascular nurses and patient satisfaction with nursing quality, which is worthy of application in clinical teaching.

Objective To investigate the association between intraoperative hypotension and post-operative acute kidney injury(AKI)in patients undergoing brain tumor resections.Methods A total of 428 patients undergoing elective craniotomy for tumor resection were selected,276 males and 152 females,aged≥18 years,BMI 15-36 kg/m2,ASA physical statusⅡ orⅢ.Based on postoperative occurrence of AKI,the patients were divided into two groups:the AKI group and the control group.This study defined three thresholds for hypotension,including MAP during surgery below 65 mmHg,60 mmHg,and 55 mmHg.Multivariate logistic regression was used to analyze the correlation between intraoperative hypotension and postoperative AKI under three thresholds.Results A total of 107 patients had postoperative AKI.The re-sults of multivariable regression analysis indicated that intraoperative MAP＜65 mmHg(OR = 1.11,95%CI 1.03-1.20,P = 0.010)and intraoperative MAP＜60 mmHg(OR = 1.12,95%CI 1.02-1.23,P = 0.017)were associated with postoperative AKI.Conclusion Intraoperative MAP＜65 mmHg or 60 mmHg is associated with postoperative AKI in patients undergoing brain tumor resection.

Objective To explore the characteristics of myocardial injury in patients with acute myocardial infarction(AMI)complicated by pleural effusion and its effect on long-term prognosis.Methods It was a prospective single-center study.Patients with AMI who were admitted to hospital within 15 days from symptom onset and performed echocardiography and cardiac magnetic resonance imaging(CMR)during hospitalization were consecutively enrolled and assigned to the with-pleural effusion group and the without-pleural effusion group according to the echocardiography result.Baseline data,cardiac magnetic resonance myocardial injury index and echocardiography characteristics were compared between the two groups.The occurrence of major adverse cardiovascular and cerebrovascular events(MACCE)was recorded through outpatient follow-up and telephone follow-up,including all-cause death,re-infarction,revascularization,rehospitalization for congestive heart failure and stroke.Cox regression analysis was performed to analyze influencing factors of all-cause death.Results Among 211 patients,31(14.7%)patients had pleural effusion and 180(85.3%)had no pleural effusion.Compared with the group without pleural effusion,the left ventricular end-diastolic diameter was larger,and left ventricular ejection fraction assessed by echocardiography was lower in the group with pleural effusion(P＜0.05).There were no significant differences in infarct size,left ventricular end-diastolic volume,left ventricular end-systolic volume,left ventricular ejection fraction and the presence of microvascular obstruction and intramyocardial hemorrhage between the two groups in CMR(all P＞0.05).At a median follow-up of 31 months,MACCE occurred in 43(20.4%)patients,and there was no significant difference between the two groups(χ2=3.160,P=0.075).Six cases(2.8%)had all-cause death.The incidence of all-cause death was higher in the group with pleural effusion than that in the group without pleural effusion(9.7%vs.1.7%,P<0.05).There was no significant difference in the incidence of other adverse events between the two groups(P＞0.05).Multivariate Cox regression analysis showed that advanced age and presence of pleural effusion were independent risk factors of all-cause death during follow-up.Conclusion Patients with AMI combined with pleural effusion have more severe myocardial injury and higher all-cause mortality.

Objective To analyze the mechanism of Huangwu Ganfu Ointment in relieving pain of knee osteoarthritis(KOA)based on network pharmacology;To verify it in animal experiments.Methods The active components of Huangwu Ganfu Ointment were obtained by TCMSP database,PubChem database and SwissADME platform,the effective components were screened,and the targets were obtained from SEA database.KOA disease-related targets were obtained from GeneCards,OMIM and other databases,and the intersection targets were obtained.A effective component-target-disease network was constructed using Cytoscape 3.9.0 Software.Protein-protein interaction(PPI)network was constructed by STRING database and core targets were screened.GO and KEGG enrichment analysis of intersection targets were analyzed using DAVID platform.The KOA rat model with cold and damp syndrome was established,and the intervention of Huangwu Ganfu Ointment was carried out.The efficacy was observed and the core target expressions were detected.Results Totally 104 effective components were screened from Huangwu Ganfu Ointment,and 59 potential targets were obtained for treating KOA.PPI network interaction analysis obtained the important targets of IL6,IL1B and PTGS2.KEGG enrichment results showed that Huangwu Ganfu Ointment may involve 84 signaling pathways such as IL-17,TNF,TRP and NF-κB in the treatment of KOA,most of which were related to inflammation.The results of animal experiments showed that Lecuesne MG scores increased in the model rats(P<0.05),and paw withdrawal threshold(PWT)significantly decreased(P<0.05).Compared with model group,PWT in Huangwu Ganfu Ointment medium-and high-dosage groups were significantly recovered,and synovitis Krenn score decreased(P<0.05).The Mankin score of cartilage tissue of Huangwu Ganfu Ointment high-dosage group decreased(P<0.05).The contents of IL-6 and IL-1β in all Huangwu Ganfu Ointment groups decreased(P<0.01).Huangwu Ganfu Ointment medium-and high-dosage groups could down-regulate the expression of TRPV1 protein(P<0.05,P<0.01).Conclusion The mechanism of Huangwu Ganfu Ointment in alleviating the pain of KOA may be related to reducing inflammatory response,reducing the release of inflammatory factors of IL-1β and IL-6,alleviating inflammatory pain sensitivity of KOA,and down-regulating the expression level of TRPV1.