Objective: To detect the mutation of epidermal growth factor receptor (EGFR) gene in peripheral blood of non-small cell lung cancer (NSCLC) patients in Yunnan area with Super-ARMS, and to explore its correlation with clinicopathological characteristics. Methods: A total of 222 blood samples from patients with NSCLC were collected between January 2017 to December 2018 in the Molecular Diagnostic Center of Yunnan Cancer Hospital. The EGFR gene mutation in peripheral blood samples was detected by SuperARMS, and the relationship between EGFR gene mutation and clinicopathological features was analyzed. Meanwhile, the independent risk factors influencing EFGR mutation were also analyzed. Results: In the peripheral blood of 222 NSCLC patients, there were 81 cases (36.5%) with EGFR gene mutation. Among them, exon 19 deletion and L858R gene point mutation were the most common (75.3% of total mutation); female patients had a higher mutation rate than male patients (45.9% vs 27.0%); patients <60 years old had a higher incidence of mutation than patients≥60 years old (43.2% vs 28.8%) (P<0.05 or P<0.01); moreover, patients with no history of smoking, no history of radical surgery, adenocarcinoma, advanced stage and no history of chemotherapy had higher incidence of EGFR mutation (43.9% vs 21.6%, 39.2% vs 21.2%, 43.9% vs 4.8%, 39.7% vs 23.3% and 44.0% vs 23.5%) (P<0.05 or P<0.01). Multivariate logistic analysis showed that young, no smoking history, adenocarcinoma and no surgical history were independent risk factors for EGFR gene mutation (all P<0.01). Conclusion: In the peripheral blood of patients with NSCLC in Yunnan, the mutation rate of EGFR gene is higher in patients with age<60 years old, adenocarcinoma and non-smoking. Super-ARMS method is more sensitive in the detection of EGFR mutation in peripheral blood of lung cancer patients.

Objective:To investigate the effect of astragaloside IV (AS-IV) regulating the signal axis of stromal cell-derived factor-1α (SDF-1α)/CXC chemokine receptor 4 (CXCR4) on the mobilization of bone marrow endothelial progenitor cells (EPCs) to peripheral blood in diabetes skin ulcer (DSU) rats.Methods:Twenty four SPF grade male Sprague Dawley (SD) rats were selected to make the model of type 2 diabetes rats by intraperitoneal injection of 30 mg/kg 1% (plastid ratio) streptozotocin, and then round full-thickness skin with a diameter of 2 cm was cut on both sides of the waist and back to make the skin ulcer model of diabetes rats. After that, they were randomly divided into AS-IV group (50 mg/kg AS-IV), blocker group (50 mg/kg AS-IV+ 5 mg/kg AMD3100) and model group. At the same time, a blank group ( n=8) was set up, The drug was administered via intraperitoneal injection, and the model group and blank group were treated with 0.9% NaCl of equal volume. On the 10th day, peripheral blood, femoral bone marrow, and wound neovascularization tissues of rats were collected. The number of EPCs in peripheral blood of each group of rats was measured by flow cytometry, and the protein expression of SDF-1α and CXCR4 in peripheral blood, femoral bone marrow, and wound neovascularization tissues of rats was detected by enzyme-linked immunosorbent assay (ELISA); At the same time, the wound healing rates of each group were tested. Results:On the 10th and 21st day after modeling, the wound healing rate of each group of rats was compared. The blank group healed the fastest, while the model group healed the slowest. The AS-IV group had better healing than the model group and the blocker group, and the difference was statistically significant (all P<0.05). On the 10th day after modeling, the positive rates of peripheral blood EPCs in the white group, AS-IV group, and blocker group were significantly higher than those in the model group (all P<0.05), while the positive rates of peripheral blood EPCs in the blocker group were significantly lower than those in the AS-IV group (all P<0.05). On the 10th day after modeling, the protein expression of SDF-1α and CXCR4 in the wound, serum, and bone marrow of the model group was the lowest, while the protein expression in the blank group was the highest (all P<0.05). The protein expression of SDF-1α and CXCR4 in the wound, serum, bone marrow of the AS-IV group was significantly higher than that of the blocker group and model group, and the difference was statistically significant (all P<0.05). Conclusions:Astragaloside IV can promote the mobilization and migration of endothelial progenitor cells from bone marrow to peripheral blood in diabetes ulcer rats by regulating SDF-1α/CXCR4 signal axis, and can participate in angiogenesis of diabetes ulcer wounds as seed cells to promote the healing of diabetes skin ulcers.

Objective To retrieve,evaluate and summarize the best evidence of early mobilization in awake patients on extracorporeal membrane oxygenation,and to provide a reference for clinical practice.Methods UpToDate,BMJ Best Practice,Registered Nurses'Association of Ontario,National Guideline Clearinghouse,National Institute for Health and Care Excellence,Yimaitong,Joanna Briggs Institute Library,Cochrane Library,CINAHL,PubMed,SinoMed,CNKI,Wanfang Database,Vip Database and Extracorporeal Life Support Organization Website were researched to collect the literature,including clinical guidelines,expert consensuses,evidence summaries,systematic reviews,and well-designed original studies.The time limit for retrieval was until June 2023.The quality of literature and the level of evidence were evaluated by the evaluation criteria and evidence grading system of J BI Evidence-Based Health Care Center.Results 14 pieces of the literature were included,including 2 clinical guidelines,4 expert consensuses,5 systematic reviews,2 cohort studies and 1 case series.Totally 33 pieces of evidence were summarized,covering 7 aspects:adaptation conditions for the implementation of awake ECMO,team composition,comprehensive assessment,pre-mobilization preparation,mobilization content,prevention and control of adverse events,and effect evaluation.Conclusion The study summarizes the best evidence of early mobilization in awake patients on extracorporeal membrane oxygenation.It is suggested that medical institutions establish a professional team for the early mobilization of awake ECMO patients,apply the best evidence to standardize the early mobilization process,and formulate an individualized mobilization program.

Objective To investigate the value of renal CT volumetric texture analysis with machine learning radiomics in assessment of pathological grade of clear cell renal cell carcinoma(ccRCC). Methods Thirty-four biopsy-confirmed ccRCC subjects who had four-phase CT scanning (NC:non-contrast, CM: Corticomedullary, N: Nephrographic, E: Excretory) were collected retrospectively from June 2013 to October 2017 for the study.Non-rigid registration was performed on multi-phase CT images in reference to CM-phase.Each lesion was segmented on CM-phase CT images using our in-house volumetric image analysis platform,"3DQI".A set of fifty-nine volumetric textures,including histogram,gradient,gray level co-occurrence matrix(GLCM),run-length(RL),moments,and shape,was calculated for each segment lesion in each phase as parameters for the training/testing of Random Forest (RF) classifier. Four groups according to pathological Fuhrman grade on a scaleⅠtoⅣ,these tumors were then divided into low(Ⅰ+Ⅱ) and high grade ( Ⅲ + Ⅳ) groups. Feature selection was performed by Boruta algorithm. A 10-fold cross-validation method was applied to validate the RF performance by receiver operating characteristic (ROC) curves analysis to determine the diagnostic accuracy of the model. Results Subjects were divided into four groups by Fuhrman grade on a scaleⅠtoⅣ:3 cases gradeⅠ,19 cases gradeⅡ,8 cases gradeⅢand 4 cases gradeⅣ.In CM-phase,kurtosis and long-run-emphasis(RLE)were selected the most important textures for ccRCC staging among 59 features. The area under curve (AUC) of ROC was 0.88 (79% sensitivity and 82% specificity)by using kurtosis and RLE textures.The mean values of kurtosis and RLE were(-20.00±22.00)×10-2and(3.00±0.40)×10-2for low group,whereas(31.00±32.00)×10-2and(5.00± 0.02)×10-2for high group.Within the mean±SD range of statistics,radiomics can distinguish between low and high grade tumors.In multi-phase analysis,three most important features were selected among 236(59× 4) textures: kurtosis (CM-phase), GLCM homogeneity I (HOMO 1) (E-phase), and GLCM homogeneity 2 (HOMO2)(E-phase).The mean values of HOMO 1(E-phase)and HOMO 2(E-phase)were(19.00±0.03)× 10-2and(11.00±0.02)×10-2for low group,whereas(22.00±0.03)×10-2and(14.00±0.02)×10-2for high group. The AUC was 0.92(93% sensitivity and 87% specificity)by using these three textures. Conclusion This study has demonstrated that renal CT volumetric texture analysis with machine learning radiomics could preoperative accurately perform cancer staging for ccRCC.

Objective To identify the factors associated with frailty in lung transplant patients by a meta-analysis.Methods Computerized search was performed for studies on the influencing factors of frailty in lung transplant patients in the CNKI,WanFangData,VIP,CBM,PubMed,Web of Science,Embase,Elsevier ScienceDirect and CINAHL databases.The search was conducted from the time of database construction to November 2023.Literature screening,quality assessment,and data extraction were performed independently by 2 investigators,and Meta-analysis was performed using Stata 17.0 software.Results 10 cohort studies,including 1 999 patients,were finally included,and 13 influencing factors were extracted,including advanced age(OR=1.05),female(OR=2.50),BMI(OR=0.38),diagnosis of primary pulmonary disease(OR=2.90),6MWD(OR=0.34),and lung allocation score(OR=0.69),FVC(OR=0.60),pre-transplant frailty(OR=0.81),hypoproteinemia(OR=4.12),hemoglobin(OR=0.50),anemia(OR=4.37),length of ICU stay(OR=1.24),and total length of stay(OR=1.05).Short Physical Performance Battery is an assessment tool for frailty in lung transplant patients,with an incidence of frailty in 24％before transplantation and 50％in post-transplantation.Fried Frailty Phenotype is an assessment tool for frailty in lung transplant patients,with a pre-transplant frailty incidence of 30％.Conclusion There are many factors involved in the incidence of frailty in lung transplant patients,and nursing staff should dynamically evaluate the frailty of lung transplant patients,and give individualized and precise interventions in combination with a multidisciplinary model to improve or delay the progression of frailty.

Objective To evaluate the effect of remote interventions with digital health technologies in lung transplant patients.Methods Databases,including CKNI,Wangfang,VIP,CMB,Cochrane Library,PubMed,Embase,Web of Science,Scopus and BMJ Best Practice were searched from their inception to July 2023.There were 2 researchers who independently screened and extracted the literature,and then evaluated quality of the included studies.Meta-analysis was performed using RevMan 5.2.Results 10 studies with 1 262 patients were included.The results of meta-analysis showed that compared with conventional intervention,remote intervention based on digital health technology could improve self-monitoring compliance of lung transplant patients[0R=0.64,95％CI(0.46,0.88),P=0.006],improve quality of life including mental health status[OR=3.08,95％CI(0.41,5.74),P=0.020]and physical health status[OR=3.81,95％CI(1.19,6.43),P=0.004].In terms of the intervention forms,the application-based remote intervention had better self-monitoring compliance,and the difference was statistically significant(P=0.007).However,in terms of the comparison of readmission rate[OR=1.73,95％CI(0.98,3.04),P=0.060],anxiety[OR=-0.12,95％CI(-1.36,1.11),P=0.850],and depression[OR=0.62,95％CI(-0.80,2.03),P=0.390],the effect of intervention was unclear.Conclusion Remote intervention based on digital health technology can improve self-monitoring compliance and quality of life in lung transplant patients;applications are the optimal form of intervention.Limited by the quality and quantity of included studies and the heterogeneity of study results,more high-quality studies are needed to further verify the effects of digital health technology on readmission rates,anxiety and depression of lung transplant patients.

Objective To investigate the incidence and risk factors of post-transplant diabetes mellitus(PTDM)in adult lung transplant recipients.Methods Conducting a convenience sampling method,we retrospectively analyzed the clinical data of lung transplant recipients from January 2020 to December 2022 at a tertiary A hospital in Hangzhou,Zhejiang Province.According to the PTDM diagnostic criteria,lung transplant recipients are divided into a PTDM group and a non-PTDM group.The incidence rate of PTDM is calculated,and the influencing factors for PTDM occurrence are analyzed using both univariate and multivariate logistic regression methods.Results A total of 140 patients were included in this study,and 54 lung transplant recipients developed PTDM within 6 months,with an incidence of 38.57％.Univariate analysis showed that there were significant differences in age,gender,BMI,smoking history,pre-operative glycated albumin,pre-operative fasting blood glucose,early post-operative blood glucose and pre-operative creatinine between the 2 groups(P＜0.05).Multivariate Logistic analysis showed that gender(OR=5.283),BMI(OR=6.122),pre-operative glycated albumin(OR=1.330),and early post-operative blood glucose(0R=1.444)were the influencing factors.Conclusion Lung transplant recipients who were male,BMI ≥24.0,with high levels of glycated albumin before surgery,and high blood sugar early after surgery had a higher risk of developing PTDM.Clinical nurses can formulate relevant nursing measures according to the influencing factors to prevent the occurrence of PTDM.

Objective To analyze the influencing factors of postoperative subsyndromal delirium in elderly patients undergoing abdominal surgery,and to develop a nomogram risk prediction model.Methods A convenience sampling method was used to select 497 elderly patients who underwent abdominal surgery in a tertiary hospital in Sichuan Province from February to October 2022.The risk prediction model and nomograms model were constructed using Logistic regression analysis and R software.The area under the subject's working characteristic curve(AUC)and Hosmer-Lemshow test were used to evaluate the discrimination and calibration of the model.Results The results of Logistic regression showed that age(OR=1.066),functional activities(OR=1.143),patient controlled intravenous analgesia(OR=5.811),transanal drainage tube(OR=2.276)and postoperative blood transfusion(OR=4.322)were independent influences on the occurrence of postoperative subsyndromal delirium.The p-values of the prediction model in both the training and validation sets were greater than 0.05;the area under the ROC curves were 0.734 and 0.691;the model was presented in the form of nomogram.Conclusion The prediction model developed in this study has good discrimination and accuracy.It can be used to assist clinical staff in identifying patients at high risk of developing postoperative subsyndromal delirium and provide the reference for developing preventive and intervention measures.

ObjectiveTo explore the value of color Doppler ultrasonography (CDU) in the differential diagnosis of cystic biliary atresia (CBA) and choledochal cyst (CC) in infants.MethodsA total of 54 infants diagnosed with hepatic portal cystic lesion in the First Affiliated Hospital of Sun Yat-sen University from January 2012 to July 2014 who were going to receive surgical treatment were included in this prospective study. Of the 54 cases, 35 were baby boys and 19 were baby girls with a mean of (63±19) d old. According to the results of pathological examination, the patients were divided into the CBA group and the CC group.All guardians of the infants signed the informed consent and the local ethical committee approval had been received. Preoperative TB level and DB level were recorded. CDU was used to observe the incidence of hepatic portal ifbrous mass, intrahepatic bile duct dilation and biliary sludge sedimentation in the cyst. In addition, the length diameter and width diameter of gallbladder and the inner diameter of hepatic artery were measured. The observed parameters of two groups were compared byχ2 test ort test.ResultsThe incidence of hepatic portal ifbrous mass in CBA group was 96% (25/26), which was signiifcantly higher than 0 (0/28) in CC group (P<0.05). The incidence of intrahepatic bile duct dilation and biliary sludge sedimentation in the cyst in CBA group were both 0 (0/26), which were signiifcantly lower than 75% (21/28) and 54% (15/28) in CC group (P<0.05). The width diameter of gallbladder in CBA group was (5±1) mm, which was signiifcantly less than (8±2) mm in CC group (t=-38.68,P<0.05). The inner diameter of hepatic artery in CBA group was (2.4±0.4) mm, which was significantly greater than (1.8±0.3) mm in CC group (t=28.40,P<0.05). ConclusionsThe hepatic portal ifbrous mass, intrahepatic bile duct dilation, biliary sludge sedimentation in the cyst, width diameter of gallbladder and inner diameter of hepatic artery are effective indexes for CDU to differentiate CBA and CC, thus, CDU may be used in the preoperative differential diagnosis.

[摘 要] 目的：采用基于中国人群单核苷酸多态性位点开发的同源重组缺陷（HRD）检测工具评估云南地区卵巢癌患者的HRD状态和BRCA1/2基因突变频率并探讨其临床意义。方法：共纳入2021年1月至2023年5月间在云南省肿瘤医院收治的卵巢癌患者248例，HRD状态采用基因组瘢痕评分法（GSS）（主要依据拷贝数的长度、类型、位置及基因组断片）或HRD评分法（杂合性缺失、端粒等位基因失衡及大片段移位等基因组不稳定事件的总和）进行评估，当组织样本的GSS≥50分或HRD评分≥42分者或检测到有害的BRCA1/2基因突变时HRD被定义为阳性。分析患者HRD状态与临床病理特征的关系。结果：248名卵巢癌患者中70.97%的患者HRD呈阳性，其中BRCA1/2基因突变率为30.65%。Ⅲ~Ⅵ期、高级别浆液腺癌的卵巢癌患者具有更高的HRD阳性率（均P<0.01），HRD评分更高的患者其合并其他基因突变的频率也越高（P<0.05）。HRD状态与卵巢癌的病理类型、临床分期和其他基因突变均有关联（均P<0.01）。结论：云南地区卵巢癌患者HRD阳性率较高，HRD阳性的卵巢癌患者可以从聚ADP核糖聚合酶（PARP）抑制剂治疗中获得更大的收益。