Objective: To investigate patients' satisfaction rate towards referral in a class A tertiary hospital, so as to provide the evidence for promoting the highly efficient implementation of referral. Methods : The gender, age, type of referral, referral efficiency and referral cost of patients receiving referral services in 2021 were collected through the interconnected intelligent hierarchical diagnosis and treatment collaborative platform of Henan Provincial People's Hospital. Patients' awareness and recognition of the two-way referral system were investigated using questionnaire surveys, and factors affecting patients' satisfaction with referral were identified using a multivariable logistic regression model. Results: A total of 1 268 patients receiving referral services were surveyed, including 576 men (45.43%) and 692 women (54.57%), and the respondents were predominant at ages of 18 years and older (935 cases, 73.74%). There were 535 cases with overdue referral (42.19%) and 1 157 cases with free referrals (91.25%). There were 749 cases that were aware of the two-way referral system (59.07%), and 587 cases recognized the two-way referral system (46.29%). There were 975 patients with a satisfactory attitude towards referral, with a satisfaction rate of 76.89%. There were 1 030 cases (81.23%) that considered fluent communication of referral information, with a 78.54% satisfaction rate towards referral; 569 cases (44.87%) that considered simple referral procedures, with an 81.37% satisfaction rate towards referral, and 797 cases that were satisfied with the services provided by the referred medical staff (62.85%), with a 79.42% satisfaction rate towards referral. Multivariable logistic regression analysis showed that non-overdue referrals (OR=1.846, 95%CI: 1.411-2.414), free referrals (OR=1.815, 95%CI: 1.188-2.773), awareness of the two-way referral system (OR=0.624, 95%CI: 0.472-0.826), recognition of the two-way referral system (OR=1.621, 95%CI: 1.235-2.129) were factors affecting the satisfaction with referral. Conclusions The satisfaction rate towards referral was 76.89% among the study patients, and the awareness and recognition of the two-way referral system, referral efficiency and convenience are factors affecting the satisfaction with referral.

Objective To estimate the diagnostic value of circulating tumor cell detection for non-small cell lung cancer.Methods A Non-intervention clinical study was conducted in this research.From October 2014 to April 2015, totally 162 NSCLC who presented at Thoracic Surgery Department, 119 benign pulmonary disease and 52 healthy individuals were collected from Shanghai Chest Hospital.Folate receptor ( FR) based polymerase chain reaction ( PCR) method was used to detect the circulating tumor cell ( CTC) level, CEA and CYFRA21-1 was detected by the flowcytometry fluorescence luminance method, SCC was detected with Chemiluminescent microparticle immunoassay.The differences among groups were analyzed by the Kruskal-Wallis test( multi group comparison) and the Mann-Whitney U test( two group comparison) , and the chi-square test was used in the positive rate comparison;the Receiver Operating Characteristics ( ROC) curve was established.Results The median level of CTC in NSCLC patients was 11.90 Units/3 ml, which was significantly higher than those of benign pulmonary disease ( 6.72 CTC Units/3 ml ) and healthy individuals (5.82 CTC Units/3 ml,χ2 =125.990, P<0.01).Areas Under Curve ( AUCs) of ROC curve for NSCLC was 0.853 2(95% CI: 0.809 5,0.896 9).The cut-off value for discriminating NSCLC with benign pulmonary disease/healthy people was 8.74 CTC Units/3 ml with sensitivity being 77.16% and specificity being 90.06%.The positive rate of CTC in Stage I NSCLC patients was 68.7%, which was much higher than that of the combination of tumor markers(χ2 =32.98,P<0.01).Conclusion With relatively high sensitivity and specificity, the detection of circulating tumor cell may has a clinical value of application and extension.

Objectives:To investigate the effect of body mass index(BMI)on perioperative and long-term prognosis of patients with severe aortic stenosis(AS)after transcatheter aortic valve replacement(TAVR). Methods:This retrospective study imcluded 180 patients with severe AS who received TAVR in Fujian Provincial Hospital from January 2019 to January 2022.According to the BMI,patients were divided into four groups:low weight group(BMI<18.5 kg/m2,n=23),normal weight group(18.5 kg/m2≤BMI<24.0 kg/m2,n=65),overweight group(24.0 kg/m2≤BMI<28.0 kg/m2,n=57),obesity group(BMI≥28.0 kg/m2,n=35).The general clinical characteristics,imaging parameters,perioperative indexes,all-cause death and the incidence of other adverse cardiac events during(18.0±6.8)months follow-up were compared among different groups.Risk factors for the perioperative complications and long-term outcomes of TAVR were evaluated. Results:The prevalence of hypertension and diabetes,left ventricular end-diastolic diameter,ventricular septal thickness and left ventricular posterior wall thickness were significantly higher in the obese group than in normal weight group(all P<0.05).The level of prealbumin in low weight group was lower than in normal weight group(P<0.05).The total perioperative complications in low weight group were higher than in normal weight group(60.9%vs.12.3%,P=0.042).During(18.0±6.8)months follow-up,the incidence of all-cause death in the low weight group was significantly higher than that in normal weight group,overweight group and obese group(17.4%vs.4.6%vs.3.5%vs.5.7%,P=0.003).Kaplan-Meier survival analysis evidenced higher mortality rate in low weight group at 18 months after TAVR(log-rank P<0.01).Multivariate Cox regression analysis showed that the risk of long-term adverse cardiovascular events was significantly higher in low weight group than in normal weight group(HR=7.633,95%CI:1.012-57.564,P=0.049). Conclusions:Low weight patients with severe AS have a higher incidence of perioperative complications and a poor long-term prognosis.Such patients should appropriately strengthen their nutritional intake and adjust their body weight to normal levels before performing TAVR.

Objective To explore the effect of evidence-based thinking oriented micro-course and case-based learning(CBL)on cultivation of clinical thinking ability of nurses who are taking the standardised nursing training in intensive care unit(ICU)so as to provide a new teaching method in the training of nurses.Methods A total of 72 nurses taking standardised nursing training in ICU of our hospital from November 2021 to October 2023 were selected as the research objects.Thirty-six of nurses who took rotation in the ICU from November 2021 to October 2022 were assigned in the control group,and other 36 nurses who took rotation in the ICU from November 2022 to October 2023 were assigned in the trial group.In the control group,CBL teaching method was adopted in the standardised nursing training,while both of evidence-based thinking oriented micro-course and CBL teaching mothed were adopted in the trial group for the standardised nursing training.The two groups were compared in terms of scores of clinical thinking ability,assessment of theory and clinical skills,as well as nurses'satisfaction with the teaching.Results After the training,nurses in the trial group exhibited significant superiority to the control group in total scores of clinical thinking ability and its three dimensions,critical thinking ability,systematic thinking ability and evidence-based thinking ability(P<0.05 for all).Furthermore,nurses in the trial group achieved significantly higher scores in theoretical assessment and assessment of clinical skills in comparison with those in the control group(P<0.05).Moreover,the trial group reported significantly higher satisfaction with both of the teaching method and learning atmosphere than those of the control group(P<0.05 for both).Conclusion Evidence-based thinking oriented micro-course and CBL teaching method can effectively improve the clinical thinking ability,theoretical knowledge and operational skills among the nurses taking standardised nursing training in ICU.

Objective·To verify the performance and explore the clinical application value of a multi-modal pulmonary nodule diagnosis model combined with metabolic fingerprints,protein biomarker CEA and Image-AI via random forest(MPI-RF).Methods·This study enrolled 289 patients with pulmonary nodules who were admitted to the Shanghai Chest Hospital,Shanghai Jiao Tong University School of Medicine and were detected by low-dose helical computed tomography(LDCT).The patients were divided into malignant nodule group(n=197)and benign nodule group(n=92)based on postoperative pathological results,and the basic information of the two groups was collected and compared.Electrochemiluminescence was used to detect the preoperative serum CEA levels of the patients in the two groups,matrix-assisted laser desorption/ionization mass spectrometry(MALDI-MS)was used to detect the serum metabolic fingerprints,and the CT image artificial intelligence model Image-AI was used to calculate the image scores.CEA data,serum metabolic fingerprints data and image scores were integrated and input into MPI-RF to calculate the malignant probability score of each patient.The receiver operator characteristic curve(ROC curve)and area under the curve(AUC)were used to evaluate the performance of different models,and the DeLong test was used for comparative analysis,including the diagnostic performance of MPI-RF in different types(solid nodule,pure ground-glass nodule and part-solid nodule)and sizes(diameter<8 mm and diameter≥8 mm)of pulmonary nodules,the diagnostic performance comparison of MPI-RF with Mayo Clinic model,veterans administration(VA)model and Brock model,and the diagnostic performance comparison of MPI-RF with lung imaging reporting and data system(Lung-RADS)in benign and malignant nodules.Results·MPI-RF had good diagnostic performance in the differentiation of benign and malignant pulmonary nodules(AUC=0.887,95%CI 0.848?0.925,sensitivity 81.22%,specificity 83.70%).Among them,the AUC of MPI-RF for solid nodules was 0.877(95%CI 0.820?0.934),for part-solid nodules was 0.858(95%CI 0.771?0.946),and for pure ground-glass nodules was 0.978(95%CI 0.923?1.000).The AUC of MPI-RF was 0.840(95%CI 0.716?0.963)for nodules within 8 mm diameter and 0.891(95%CI 0.849?0.933)for nodules larger than 8 mm diameter.Compared with the existing models,the diagnostic performance of MPI-RF was better than that of Mayo Clinic model,VA model and Brock model(all P=0.000).Compared with Lung-RADS,MPI-RF had better diagnostic performance in the total samples and different types of nodules(all P=0.000).Conclusion·MPI-RF is a model for the differential diagnosis of benign and malignant pulmonary nodules with excellent performance,and has potential clinical application value.

Objective:To investigate the tissue methylation features of adenocarcinoma patients presenting as pulmonary nodules on CT scans.Methods:A retrospective analysis was conducted on 70 adenocarcinoma patients with pulmonary nodules diagnosed at the Shanghai General Hospital from June 1, 2022 to January 20, 2024. Participants were assigned to two groups using the random number table, with 40 in the discovery group and 30 in the validation group. In the discovery group, tissue samples were analyzed using reduced representation bisulfite sequencing (RRBS) technology to compare the average methylation levels between cancer tissues and paired adjacent non-cancerous tissues. Differentially methylated regions (DMRs) were screened for analysis of their distribution across various genomic functional elements, and hierarchical clustering was plotted. GO and KEGG pathway enrichment analyses were further conducted on the DMRs. Subsequently, candidate DMRs associated with lung adenocarcinoma were validated using TCGA lung adenocarcinoma cohort and targeted bisulfite sequencing technology in the validation group. The comparison of methylation levels between groups was conducted using t-tests or non-parametric tests, while rates and composition ratios were analyzed using chi-square tests or Fisher′s exact test.Results:In discovery cohort, the average methylation level in cancer tissues was lower compared to adjacent normal tissues [(42.369±4.627) vs (44.370±4.046), t=?2.059, P=0.043]. A total of 37 995 DMRs were identified, including 16 889 upregulated regions and 21 106 downregulated regions, predominantly locating in promoter regions (48.917%), introns (36.457%), and exons (10.812%). The DMR clustering heatmap revealed two distinct clusters corresponding to cancer tissues and adjacent non-cancerous tissues. GO analysis showed that DMRs associated genes were mainly located in the cell membrane and nuclear chromatin, and were primarily involved in RNA polymerase Ⅱ-related transcription and regulation. KEGG pathway enrichment analysis indicated that DMRs associated genes were mainly involved in neuroactive ligand-receptor interaction, cancer pathways, calcium signaling pathway, cAMP signaling pathway, and MAPK signaling pathway. Validation in the TCGA cohort confirmed 11 potential characteristic DMRs. In the validation group, TBS confirmed that the methylation levels of DMRs associated with MIR10B, DMRTA2, HOPX, TFAP2B and MARCH11 in cancer tissues were significantly higher than those in adjacent non-cancerous tissues [11.200(4.305, 27.088) vs 2.650(1.298, 4.645), Z=?4.539, P<0.05; 18.610(13.600, 33.025) vs 8.675(5.488, 13.085), Z=?4.554, P<0.05; 17.600(2.183, 76.015) vs 1.085(0.898, 1.835), Z=?5.131, P<0.05; 5.250(3.220, 7.693) vs 3.495(2.165, 4.383), Z=?2.861, P<0.05; 11.515(7.525, 21.033) vs 7.830(5.518, 11.488), Z=?2.440, P<0.05 ], and the differences were statistically significant. Conclusions:Lung adenocarcinoma tissue exhibits different methylation patterns compared with adjacent normal lung tissue. The identified DMRs are involved in the regulation of several key pathways. Results from the TCGA cohort and an independent validation group support the potential diagnostic value of DMRs such as MIR10B, DMRTA2, HOPX, TFAP2B, and MARCH11 in lung adenocarcinoma, though their clinical application requires further validation.

Objective To systematically evaluate the risk factors for postoperative delirium after surgery for Stanford type A aortic dissection. Methods We searched the CNKI, SinoMed, Wanfang data, VIP, PubMed, Web of Science, EMbase, The Cochrane Library database from inception to September 2022. Case-control studies, and cohort studies on risk factors for postoperative delirium after surgery for Stanford type A aortic dissection were collected to identify studies about the risk factors for postoperative delirium after surgery for Stanford type A aortic dissection. Quality of the included studies was evaluated by the Newcastle-Ottawa scale (NOS). The meta-analysis was performed by RevMan 5.3 software and Stata 15.0 software. Results A total of 21 studies were included involving 3385 patients. The NOS score was 7-8 points. The results of meta-analysis showed that age (MD=2.58, 95%CI 1.44 to 3.72, P＜0.000 01), male (OR=1.33, 95%CI 1.12 to 1.59, P=0.001), drinking history (OR=1.45, 95%CI 1.04 to 2.04, P=0.03), diabetes history (OR=1.44, 95%CI 1.12 to 1.85, P=0.005), preoperative leukocytes (MD=1.17, 95%CI 0.57 to 1.77), P=0.000 1), operation time (MD=21.82, 95%CI 5.84 to 37.80, P=0.007), deep hypothermic circulatory arrest (DHCA) time (MD=3.02, 95%CI 1.04 to 5.01, P=0.003), aortic occlusion time (MD=8.94, 95%CI 2.91 to 14.97, P=0.004), cardiopulmonary bypass time (MD=13.92, 95%CI 5.92 to 21.91, P=0.0006), ICU stay (MD=2.77, 95%CI 1.55 to 3.99, P＜0.000 01), hospital stay (MD=3.46, 95%CI 2.03 to 4.89, P＜0.0001), APACHEⅡ score (MD=2.76, 95%CI 1.59 to 3.93, P＜0.000 01), ventilation support time (MD=6.10, 95%CI 3.48 to 8.72, P＜0.000 01), hypoxemia (OR=2.32, 95%CI 1.40 to 3.82, P=0.001), the minimum postoperative oxygenation index (MD=−79.52, 95%CI −125.80 to −33.24, P=0.000 8), blood oxygen saturation (MD=−3.50, 95%CI −4.49 to −2.51, P＜0.000 01), postoperative hemoglobin (MD=−6.35, 95%CI −9.21 to −3.50, P＜0.000 1), postoperative blood lactate (MD=0.45, 95%CI 0.15 to 0.75, P=0.004), postoperative electrolyte abnormalities (OR=5.94, 95%CI 3.50 to 10.09, P＜0.000 01), acute kidney injury (OR=1.92, 95%CI 1.34 to 2.75, P=0.000 4) and postoperative body temperature (MD=0.79, 95%CI 0.69 to 0.88, P＜0.000 01) were associated with postoperative delirium after surgery for Stanford type A aortic dissection. Conclusion The current evidence shows that age, male, drinking history, diabetes history, operation time, DHCA time, aortic occlusion time, cardiopulmonary bypass time, ICU stay, hospital stay, APACHEⅡ score, ventilation support time, hypoxemia and postoperative body temperature are risk factors for the postoperative delirium after surgery for Stanford type A aortic dissection. Oxygenation index, oxygen saturation, and hemoglobin number are protective factors for delirium after Stanford type A aortic dissection.