Objective:To investigate the effects of forced-air warming blankets combined with conventional warming strategies on the quality of postoperative recovery and cognitive recovery in elderly patients undergoing laparoscopic radical resection of colorectal cancer.Methods:This was a prospective, randomized, controlled trial.A total of 70 patients aged 65-75 years, who were classified as American Society of Anesthesiologists(ASA)grade-Ⅱ or Ⅲ, undergoing the laparoscopic radical resection of colorectal cancer under general anesthesia, were enrolled.Patients were randomly divided into two groups: the forced-air warming group(group FAW, n=35)and the conventional warming group(group CW, n=35). The inadvertent perioperative hypothermia(IPH), postoperative shivering, postoperative agitation, anesthesia recovery time and other postoperative complications were compared between the two groups.The post-operative quality of recovery scale(PQRS)was used to evaluate the quality of postoperative recovery and the recovery of cognitive function before and 1, 3, and 7 days after operation.Results:As compared with the group CW, the group FAW showed that the incidences of IPH, postoperative shivering and agitation were decreased(5.7% vs.22.8%, 2.8% vs.28.6%, 5.7% vs.31.4%, χ2=4.200, 10.057 and 7.652, P=0.042, 0.003 and 0.006), and the satisfaction degree of patients was increased at 48 hours after operation( P<0.01). The postoperative wake-up time was prolonged in the group CW as compared with the group FAW( P<0.01). Compared with the group CW, the proportion of patients with excellent overall recovery quality was increased in the group FAW 1 day after surgery( P<0.05). There was no significant difference in general recovery quality and cognitive recovery between the two groups at 3 and 7 days after operation. Conclusions:For elderly patients undergoing laparoscopic radical resection of colorectal cancer, the forced-air warming blanket combined with conventional warming strategies is more helpful to decrease the incidence of IPH, reduce postoperative shivering and improve the overall recovery quality at 1 day after operation, but no significant effect on postoperative recovery of cognitive function is found.

Wnt7a is a secreted glycoprotein in the Wnt signaling family. It is located on chromosome 3p25 and is easy dele-ted. It is mainly expressed in placenta,kidney,testis,uterus,fetal lung and brain,and participates in human embryonic development and cell differentiation. More and more studies have found that Wnt7a is also expressed and plays an important role in many tumor cells. As a new tumor target of therapy or an important factor in the tumor growth pathway,Wnt7a has begun to attract the attention of many scientists.

Objective:To explore the current situation of evidence-based practice competence of nurses with master's degree at Class Ⅲ hospitals in Henan Province and its influencing factors so as to provide a reference for managers to formulate the targeted continuing education plan.Methods:From March 2019 to April 2019, we selected 133 nurses with master's degree of 6 ClassⅢ hospitals in Zhengzhou City of Henan Province as subjects by purposive sampling. All of nurses were investigated with the Chinese version of Evidence Based Practice Evaluation Competence Questionnaire (EBP-COQ) and the Barriers to Research Utilization Scale. Multiple linear regression was used to analyze the influencing factors.Results:Among 133 nurses with master's degree, the total scores of the EBP-COQ and the Barriers to Research Utilization Scale were (98.57±11.01) and (79.66±20.46) respectively. Multiple linear regression analysis showed that the influencing factors of evidence-based practice competence of nurses with master's degree included the working lives, positional titles, attending evidence-based nursing training, awareness to evidence-based practice, accessibility of research funding and resource conditions of evidence-based nursing ( P<0.05) . Conclusions:Nurses with master's degree in Henan Province have the intermediate level of evidence-based practice competence and positive attitudes to evidence-based practice, but their evidence-based knowledge and skills need to be improved. Nursing managers should pay more attention to evidence-based practice competence training of nurses with master's degree, provide many supportive resources and environments, promote evidence-based practice skills training so as to boost the development of specialist nursing practice.

Background::Pulmonary embolism (PE) is a severe and acute cardiovascular syndrome with high mortality among patients with autoimmune inflammatory rheumatic diseases (AIIRDs). Accurate prediction and timely intervention play a pivotal role in enhancing survival rates. However, there is a notable scarcity of practical early prediction and risk assessment systems of PE in patients with AIIRD.Methods::In the training cohort, 60 AIIRD with PE cases and 180 age-, gender-, and disease-matched AIIRD non-PE cases were identified from 7254 AIIRD cases in Tongji Hospital from 2014 to 2022. Univariable logistic regression (LR) and least absolute shrinkage and selection operator (LASSO) were used to select the clinical features for further training with machine learning (ML) methods, including random forest (RF), support vector machines (SVM), neural network (NN), logistic regression (LR), gradient boosted decision tree (GBDT), classification and regression trees (CART), and C5.0 models. The performances of these models were subsequently validated using a multicenter validation cohort.Results::In the training cohort, 24 and 13 clinical features were selected by univariable LR and LASSO strategies, respectively. The five ML models (RF, SVM, NN, LR, and GBDT) showed promising performances, with an area under the receiver operating characteristic (ROC) curve (AUC) of 0.962-1.000 in the training cohort and 0.969-0.999 in the validation cohort. CART and C5.0 models achieved AUCs of 0.850 and 0.932, respectively, in the training cohort. Using D-dimer as a pre-screening index, the refined C5.0 model achieved an AUC exceeding 0.948 in the training cohort and an AUC above 0.925 in the validation cohort. These results markedly outperformed the use of D-dimer levels alone.Conclusion::ML-based models are proven to be precise for predicting the onset of PE in patients with AIIRD exhibiting clinical suspicion of PE.Trial Registration::Chictr.org.cn: ChiCTR2200059599.