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.

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.