This study summarized the nursing experience of midline catheter insertion in 12 patients with a body mass index≥50,providing clinical references.Key nursing interventions included:pre-insertion patient positioning was adjusted to semi-Fowler's or sitting position based on respiratory status.The puncture sites were chosen at the middle or distal third of the upper arm with elbow flexion.The widened tourniquets and extended-length needles/catheter sheaths were used according to vascular depth and puncture angle.The modified pre-insertion length measurement and real-time ultrasound-guided vascular puncture were applied.The catheter with crisscross elastic bandage was secured post-insertion.All 12 patients successfully underwent catheterization,with devices removed after completing intravenous therapy and blood sampling.

Objective:To quantify thoracic and abdominal movements during breathing using inertial measurement units (IMUs) and to build a machine learning model which identifies the abdominal breathing (AB) pattern.Methods:Ten rehabilitation therapists formed the study′s professional group, while 15 patients receiving AB training comprised the validation group. Two synchronized IMUs were applied to capture breathing motions during natural breathing (NB), deep breathing (DB) and AB. Six kinematic features were extracted from each respiratory cycle, and inter-group and inter-pattern differences were analyzed. Correlation analysis was also performed with manually measured changes in thoracic and abdominal circumferences. A support vector classification model for AB pattern detection was then developed using data from the professional and validation groups.Results:A total of 1113 respiratory cycles were extracted and analyzed. The breathing pattern significantly influenced all of the kinematic features studied (0.21≤partial η 2≤0.65, all P≤0.001). The ranges of the angles in medial-lateral axis of the IMUs showed strong correlation with the changes in abdominal and thoracic circumferences (ρ1=0.928, ρ2=0.807, P≤0.001 in both cases). A greater range of abdominal angles was found during AB compared to the other patterns. The best of the models achieved an F1 score of 0.970 (sensitivity: 0.983, specificity: 0.980) in validation. Conclusions:AB generates the greatest abdominal movement. Combining IMUs and machine learning can provide real-time quantification of chest movement and accurate detection of AB during breathing training.

Objective To summarize the whole process comprehensive management experience in transfemoral aortic valve replacement(TF-TAVR)using self-expanding valve in 79 patients with pure native aortic valve regurgitation(PNAR).Methods The nursing team adopted a multi-team collaboration approach.Preoperative nursing assessment and full preparation,enhanced psychological support,and sleep management were carefully carried out;during the operation,nurses well cooperated with doctor,implemented predictive care and intervention for possible complications;and after surgery the hemodynamics and respiratory functions were closely monitored to promptly detect and manage the complications,and to implement the infection prevention cluster management process and discharge preparation services.Besides,the comprehensive management measures throughout the entire process,the occurrence of complications and corresponding nursing responses,as well as the six-minute walk test before and after the operation were recorded.The Discharge Readiness Scale was used to evaluate the implementation of patient discharge readiness services so as to check the implementation effect of the comprehensive whole process management measures.Results Through the implementation of comprehensive whole process management measures,the surgery-related ventricular fibrillation and cardiac arrest obtained accurate and timely treatment,no newly-developed complications such as deep vein thrombosis of lower limbs occurred.Through the implementation of infection cluster nursing measures,the incidence of pulmonary infection in patients decreased from 52.00％in the early stage of carrying out the management measures to 9.26％.Through the implementation of discharge preparation services and continuous quality improvement,the left ventricular ejection fraction(LVEF)value in 64 patients receiving successful TAVR increased from(44.06±5.51)％to(54.67±5.20)％,and the difference was statistically significant(t=19.634,P＜0.001).On the day of discharge,the six-minute walk test distance increased from preoperative(131.39±39.36)meters to postoperative(180.77±29.72)meters,and the difference was statistically significant(t=10.898,P＜0.001).The average self-assessment score of discharge readiness of patients was(7.33±1.41)points.All patients were well recovered when discharged from hospital.Conclusion According to the different surgical key points and the difficult problems,full and effective implementation of comprehensive whole process management measures can ensure that the PNAR patients are able to smoothly pass through the perioperative period and obtain a satisfactory recovery after receiving TF-TAVR.

Atherosclerosis(AS)is a multifactorial disease,in which mitochondrial dysfunction of macrophages plays a key role.Mitochondrial dysfunction of macrophages affects polarization direction of macrophages and leads to severe inflammatory reac-tions,is a potential therapeutic target for AS.This article mainly reviews the latest research progress on role of macrophage mitochon-drial dysfunction in occurrence and development of AS,as well as treatment methods for improving macrophage mitochondrial function.

Atherosclerosis(AS)is a multifactorial disease,in which mitochondrial dysfunction of macrophages plays a key role.Mitochondrial dysfunction of macrophages affects polarization direction of macrophages and leads to severe inflammatory reac-tions,is a potential therapeutic target for AS.This article mainly reviews the latest research progress on role of macrophage mitochon-drial dysfunction in occurrence and development of AS,as well as treatment methods for improving macrophage mitochondrial function.

This study summarized the nursing experience of midline catheter insertion in 12 patients with a body mass index≥50,providing clinical references.Key nursing interventions included:pre-insertion patient positioning was adjusted to semi-Fowler's or sitting position based on respiratory status.The puncture sites were chosen at the middle or distal third of the upper arm with elbow flexion.The widened tourniquets and extended-length needles/catheter sheaths were used according to vascular depth and puncture angle.The modified pre-insertion length measurement and real-time ultrasound-guided vascular puncture were applied.The catheter with crisscross elastic bandage was secured post-insertion.All 12 patients successfully underwent catheterization,with devices removed after completing intravenous therapy and blood sampling.

Objective:To quantify thoracic and abdominal movements during breathing using inertial measurement units (IMUs) and to build a machine learning model which identifies the abdominal breathing (AB) pattern.Methods:Ten rehabilitation therapists formed the study′s professional group, while 15 patients receiving AB training comprised the validation group. Two synchronized IMUs were applied to capture breathing motions during natural breathing (NB), deep breathing (DB) and AB. Six kinematic features were extracted from each respiratory cycle, and inter-group and inter-pattern differences were analyzed. Correlation analysis was also performed with manually measured changes in thoracic and abdominal circumferences. A support vector classification model for AB pattern detection was then developed using data from the professional and validation groups.Results:A total of 1113 respiratory cycles were extracted and analyzed. The breathing pattern significantly influenced all of the kinematic features studied (0.21≤partial η 2≤0.65, all P≤0.001). The ranges of the angles in medial-lateral axis of the IMUs showed strong correlation with the changes in abdominal and thoracic circumferences (ρ1=0.928, ρ2=0.807, P≤0.001 in both cases). A greater range of abdominal angles was found during AB compared to the other patterns. The best of the models achieved an F1 score of 0.970 (sensitivity: 0.983, specificity: 0.980) in validation. Conclusions:AB generates the greatest abdominal movement. Combining IMUs and machine learning can provide real-time quantification of chest movement and accurate detection of AB during breathing training.

Objective:To explore the biomarkers of radiochemotherapy sensitivity and potential mechanisms in esophageal squamous cell carcinoma (ESCC), and validate the screened biomarkers at human tissue, animal and cellular levels.Methods:Based on bioinformatics system, clinical and transcriptome data of ESCC were obtained from The Cancer Genome Atlas (TCGA) and GEO databases. HUB genes related to chemoradiotherapy sensitivity were identified by weighted correlation network analysis (WGCNA) and cytoscape software and survival differences were analyzed. CellMiner database was used to predict and screen drugs with strong correlation with HUB genes. The expression levels of HUB genes in clinical tissues was detected by real-time reverse transcription PCR (qRT-PCR). Then, oe-AKR1C1 mouse model, cisplatin-resistant cells and radiation-resistant cells were constructed, and the effects of HUB genes on tumor size and mass, and cell proliferation ability were analyzed.Results:A total of 5 HUB genes were identified, among which NAD(P)H quinone dehydrogenase 1 (NQO1), AKR1C1 and NADH: ubiquinone oxidoreductase core subunit S2 (NDUFS2) were significantly correlated with ESCC survival (all P<0.05). Dacarbazine, alectinib and obatoclax were the anti-tumor drugs predicted to have a strong correlation with HUB genes in this study. Human tissue test results showed that the expression levels of NQO1, AKR1C1 and NDUFS2 were up-regulated in patients with chemoradiotherapy resistance, and AKR1C1 and NDUFS2 had statistical significance (both P<0.05). The results of mouse tumor bearing experiment showed that the tumor volume and mass of oe-AKR1C1 mice after radiotherapy and chemotherapy were significantly higher than those in the control group (both P<0.05). The cell experiment results showed that the expression levels of AKR1C1 and NDUFS2 in radiation-resistant cells and cisplatin-resistant cells were significantly higher than those in control cells ( P<0.05), while there was no statistically significant difference in the relative expression level of NQO1. Conclusion:NQO1, AKR1C1 and NDUFS2 are HUB genes significantly related to the survival of ESCC, which can be used as important therapeutic tumor targets for ESCC.

Chronic aortic stenosis and regurgitation can cause left ventricular remodeling.Whether these changes are reversible and their reversibility after valve replacement are the main determinants affecting the timing and prognosis of surgery.Imaging techniques are commonly used to evaluate myocardial structure and function,in which echocardiography and enhanced CT are helpful to evaluate artificial flap function and monitor left ventricular deformation,while cardiac MR and PET/CT are helpful to identify the progression and regression of postoperative cardiac fibrosis.The combined application of these new techniques can improve clinical outcomes by early diagnosis and non-invasive detection of postoperative left ventricular reverse remodeling.This paper reviews the evaluation and application of multi-modal imaging techniques for left ventricular reverse remodeling after aortic valve replacement.

Objective To explore the effect and mechanism of berberine combined with curcumin on ath-erosclerosis(AS)by mediating M1 macrophages polarization.Methods M1-type macrophages were obtained from mouse mononuclear macrophages(RAW264.7)induced by lipopolysaccharide(LPS,100 ng/mL)and interferon(IFN)-γ(20 ng/mL).A cell model was established.The cells were divided into a control group,model group,berberine group,curcumin group and berberine plus curcumin group.Concentrations of berberine and curcumin were detected by CCK-8 assay.The expression levels of M1-type macrophage markers iNOS,TNF-α,CXCL9 and p-STAT6/STAT6 in macrophage supernatant were detected by ELISA.Levels of iNOS,TNF-α and CXCL9 mRNA were detected by RT-PCR.Levels of iNOS,STAT6 and p-STAT6 proteins in each group were detected by Western blot.After down-regulation of STAT6 level by siRNA technology,expression of p-STAT6 protein was detected by Western blot.Expression levels of iNOS,TNF-α,CXCL9 and p-STAT6 were detected by ELISA.Results In the polarization of M1 macrophages induced by LPS and IFN-γ,berberine(25 μmol/L)and curcumin(20 μmol/L)were the best concentrations as compared with other drug concentration groups,and neither alone nor combined use could significantly inhibit the viability of RAW264.7 cells(P<0.05).As compared with the normal group,iNOS,TNF-α and CXCL9 mRNA and protein levels were increased in the model group,while P-STAT6/STAT6 levels were decreased,with statistical differences(P<0.05).As compared with the model group,iNOS,TNF-α and CXCL9 mRNA and protein levels in the berberine group,curcumin group,and berberine plus curcumin group were decreased,while P-STAT6/STAT6 levels were increased,and the changes were more obvious in berberine plus curcumin group,with statistical difference(P<0.05).After transfection of STAT6 siRNA in M1 macrophages in the berberine plus curcumin group,P-STAT6 levels were down-regulated,while expressions of iNOS,TNF-α and CXCL9 were up-regulated,with statistical differences(P<0.05).Conclusions Both berberine and curcumin can inhibit the activity of M1-type macrophages and reduce inflammatory response.The action of berberine combined with curcumin is more advantageous than that of either drug alone,which may be the main mechanism of action through activation of STAT6.