To assess the current status of early surgical site infections following prosthetic implantation in plastic surgery across four provincial-level administrative regions in China, and to explore the effectiveness of standardized training for infection prevention and control.

Objective To investigate the effects of Qizhi Zhoufei Granules on endoplasmic reticulum stress in rats with chronic obstructive pulmonary disease(COPD);To explore its mechanism.Methods COPD rat model was induced by lipopolysaccharide tracheal instillation and smoking.Totally 60 Wistar rats were divided into control group,model group,Bufei Huoxue Capsules group and Qizhi Zhoufei Granules low-,medium-and high-dosage groups using random number table method,with 10 rats in each group.Drug gavage intervention was carried out for the treatment group since the 29th day of modeling,and normal saline was given to the control group and model group for 28 d.Lung function tests were performed,HE staining was used to detect morphology of lung tissue,TUNEL staining was used to detect the degree of apoptosis in lung tissue,RT-qPCR and Western blot were used to detect the endoplasmic reticulum stress and apoptosis related molecular mRNA and protein expression in lung tissue.Results Compared with the control group,the lung function indexes of peak inspiratory flow(PIF),peak expiratory flow(PEF)and minute volume(MV)significantly decreased,and frequency of breathing(F)significantly increased in the model group(P＜0.05);the structural damage of the lung tissue was obvious,the lung injury score and apoptosis rate significantly increased(P＜0.05),the expressions of glucose regulated protein 78(GRP78),protein kinase R-like ER kinase(PERK),C/EBP-homologous protein(CHOP),Caspase-3 and Caspase-9 mRNA were increased(P＜0.05),the protein expressions of GRP78,p-PERK,activating transcription factor 4(ATF4),CHOP,Caspase-3 and Caspase-9 were significantly increased(P＜0.05).Compared with the model group,PIF,PEF and MV significantly increased in Qizhi Zhoufei Granules medium-and high-dosage groups and Bufei Huoxue Capsules group,and F significantly decreased(P＜0.05);the damage in lung tissue was improved,and the lung injury score and cell apoptosis rate significantly decreased(P＜0.05),the mRNA expressions of GRP78,PERK,CHOP,Caspase-3 and Caspase-9 in lung tissue decreased(P＜0.05),and the protein expressions of GRP78,p-PERK,ATF4,CHOP,Caspase-3 and Caspase-9 decreased(P＜0.05).Conclusion Qizhi Zhoufei Granules can prevent cell apoptosis and excessive damage by inhibiting the expression of endoplasmic reticulum stress related factors in COPD rats,thereby promoting unfolded protein response and improving endoplasmic reticulum folding ability,constraining endoplasmic reticulum stress state,and assisting in its regulation.

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: 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:To explore the application effects of the solution-focused approach combined with empathic nursing in patients with acute myocardial infarction (AMI) after percutaneous coronary intervention (PCI) .Methods:A total of 96 AMI patients who underwent PCI in the Department of Cardiology at Cangzhou Central Hospital from March 2020 to March 2023 were selected using convenience sampling. They were randomly assigned to an experimental group ( n=48) and a control group ( n=48) using a random number table. The control group received routine nursing care, while the experimental group received a solution-focused approach combined with empathic nursing. Medication adherence, coping strategies, and patient satisfaction were compared between the two groups. Results:After the intervention, medication adherence and satisfaction scores in the experimental group were significantly higher than those in the control group, and the differences werestatistically significant ( P<0.05) . Additionally, the experimental group scored higher in confrontation coping, and lower in avoidance and resignation coping than the control group, and the differences were statistically significant ( P<0.01) . Conclusions:The combination of a solution-focused approach and empathic nursing can effectively improve medication adherence, coping strategies, and patient satisfaction in AMI patients after PCI.

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 To explore the expression level,clinical significance of protein disulfide isomerase A3(PDIA3)in endome-trial cancer(EC)tissues,and its effects on Ishikawa cells.Methods Using the TCGA database to analyze the differential expression levels of PDIA3 in different endometrial tissues and explore its relationship with clinical pathological parameters and prognosis of EC pa-tients;Using immunohistochemistry(IHC)to detect the expression level of PDIA3 in clinical endometrial tissue,analyze the clinical pathological parameters,prognosis,and risk factors affecting the prognosis of EC patients with different expression levels;Using Transwell assay,scratch assay,and CCK-8 assay to detect the proliferation,invasion,and migration ability of Ishikawa cells with knockdown PDIA3 expression.Results The expression level of PDIA3 in EC tissue was higher than that in normal endometrial tissue in the TCGA database and clinical specimens(P＜0.05).The expression level of PDIA3 in EC tissue in the G3 grade group was higher than that in the G1 and G2 grade groups in the TCGA database(P＜0.05).The expression level of PDIA3 in EC tissue in FIGO stage Ⅱ-Ⅳ group was higher than that in the stage Ⅰ group,the group with lymph node metastasis was higher than that without lymph node metastasis,and the highly differentiated group was higher than the poorly differentiated group in clinical specimens(P＜0.05);COX regression analysis showed that Federation International of Gynecology and Obstetrics(FIGO)staging and PDIA3 expression level were the independent risk factors of prognosis in EC patients;the survival time of EC patients with high expression of PDIA3 in the TCGA database was shorter than that of the low expression group(P＜0.05),and the survival rate of clinical patients with positive PDIA3 was shorter than that of the neg-ative group(P＜0.05);Transwell assay,scratch assay,and CCK-8 assay showed that the invasion and migration ability of cells in the PDIA3 inhibition group was significantly reduced compared to the normal group and negative control group(P＜0.05).Conclusion PDIA3 is highly expressed in EC tissues and is associated with the malignancy of tumors and poor prognosis of patients;targeted inhibition of PDIA3 expression can reduce the proliferation,invasion,and migration ability of Ishikawa cells.