Objective To elucidate the causal relationships between colorectal cancer (CRC) and prevalent psychiatric disorders through a two-sample Mendelian randomization approach. Methods Utilizing publicly available genome-wide association study data, we explored the connections between CRC and various psychiatric disorders, including depression, anxiety, bipolar disorder, and schizophrenia. We applied three statistical analyses: inverse variance weighting, MR-Egger, and median weighting. Sensitivity analyses were conducted to ensure the reliability and validity of the results. Results Inverse variance weighting analysis showed no significant links between CRC and depression (P=0.090), anxiety (P=0.099), or schizophrenia (P=0.899). Conversely, a significant inverse relationship was found with bipolar disorder (P=0.010). Conclusion No causal connection exists between CRC and the psychiatric conditions of depression, anxiety, or schizophrenia. However, CRC may have a causal association with a reduced risk of bipolar disorder, further supporting the existence of the gut-brain axis.

Hearing loss is the most prevalent disabling disease. Cochlear implantation（CI） serves as the primary intervention for severe to profound hearing loss. This consensus systematically explores the value of genetic diagnosis in the pre-operative assessment and efficacy prognosis for CI. Drawing upon domestic and international research and clinical experience, it proposes an evidence-based medicine three-tiered prognostic classification system（Favorable, Marginal, Poor）. The consensus focuses on common hereditary non-syndromic hearing loss（such as that caused by mutations in genes like GJB2, SLC26A4, OTOF, LOXHD1） and syndromic hereditary hearing loss（such as Jervell & Lange-Nielsen syndrome and Waardenburg syndrome）, which are closely associated with congenital hearing loss, analyzing the impact of their pathological mechanisms on CI outcomes. The consensus provides recommendations based on multiple round of expert discussion and voting. It emphasizes that genetic diagnosis can optimize patient selection, predict prognosis, guide post-operative rehabilitation, offer stratified management strategies for patients with different genotypes, and advance the application of precision medicine in the field of CI.
Humans ; Cochlear Implantation ; Prognosis ; Hearing Loss/surgery* ; Consensus ; Connexin 26 ; Mutation ; Sulfate Transporters ; Connexins/genetics*

Objective:To explore the cognition and intention of patients with lower limb deep vein thrombosis (DVT) to participate in patient-reported outcomes (PROs), so as to provide references for the promotion, application, and practice of PROs in lower limb DVT patients in China.Methods:This study adopted the phenomenological qualitative research method. From February to June 2023, 13 lower limb DVT patients admitted to Peking Union Medical College Hospital were selected for semi-structured in-depth interviews. Colaizzi 7-step analysis method was used for analyzing and summarizing data.Results:Thirteen patients with lower limb DVT highly recognized their own value in participating in PROs, namely health benefits, prevention of DVT complications, and reduction of disease uncertainty. Lower limb DVT patients expected to receive support from healthcare professionals, families, and portable and simplified reporting formats to promote their participation in PROs. From the patient 's own perspective, they perceived that insufficient attention to DVT caused by lack of awareness of the hazards of DVT and limited understanding of PROs made it difficult for them to participate in PROs. Conclusions:Lower limb DVT patients have a high intention to participate in PROs. The application and promotion of PROs in lower limb DVT patients in China require joint support from various sectors of society, among which strengthening effective health education for patients and their families and providing multi-channel reporting forms are the key to promoting of PROs.

Objective:To construct a tool to evaluate the knowledge, attitude, and practice of nurses in the prevention of thrombosis related to peripherally inserted central catheter (PICC) .Methods:From December 2022 to April 2023, based on the theory of knowledge, attitude, and practice, a preliminary draft of the PICC-related Thrombosis Prevention Knowledge, Attitude, and Practice Questionnaire for Nurses was formed through systematic literature review, two rounds of Delphi expert consultations, and pre-survey. In May 2023, convenience sampling was used to select 573 nurses from Chinese Academy of Medical Sciences & Peking Union Medical College Hospital as the research subject for a survey to conduct item analysis, validity testing, and reliability testing on the questionnaire.Results:The final version of the PICC-related Thrombosis Prevention Knowledge, Attitude, and Practice Questionnaire for Nurses included 20 knowledge items, 10 attitude items, and 10 practice items. In the content validity of the questionnaire, the average content validity index was 0.984, the overall consensus content validity index was 0.850, and the item level content validity index was 0.857 to 1.000. Exploratory factor analysis extracted three common factors with eigenvalues>1.000, with a cumulative variance contribution rate of 64.540% and factor loadings of 0.450 to 0.908 for each item. The total Cronbach's α coefficient of the questionnaire was 0.895, the half reliability coefficient was 0.947, and the retest reliability coefficient was 0.966.Conclusions:The PICC-related Thrombosis Prevention Knowledge, Attitude, and Practice Questionnaire for Nurses has good reliability and validity, and can be used to evaluate PICC-related thrombosis prevention knowledge, attitude, and practice among nurses.

The International Consortium for Health Outcomes Measurement has released the first international standard set of outcome measures for patients with venous thromboembolism, providing a widely applicable and easy-to-use standardized set of outcome measures for venous thromboembolism, including disease-specific complications, treatment-related comorbidities, long term consequences of the disease, and patient-reported outcomes. This paper combines clinical practice in China to interpret the Core Outcome Set for Venous Thromboembolism, in order to provide reference for the selection of outcomes of venous thromboembolism and promote the application of the core outcome set of venous thromboembolism in clinical practice and research in China.

Quality-sensitive indicators in nursing, as standards for evaluating nursing quality management, can quantitatively determine nursing outcomes. This article provides a comprehensive review of the framework and content of quality-sensitive indicators for venous thromboembolism (VTE) prevention nursing care. The indicators are discussed from three dimensions: structure, process, and outcome. The aim is to provide a reference for the future development of unified and standardized quality-sensitive indicators for VTE prevention nursing care, in order to guide clinical nurses in standardized preventive practices.

Cancer-associated thrombosis (CAT) is a common complication and cause of death in cancer patients. Accurately and efficiently identifying high-risk groups for CAT using risk assessment models and implementing targeted early prevention is key. Although numerous CAT risk assessment models currently exist, their predictive capabilities vary across different populations. This article provides a comprehensive review of CAT risk assessment models and their application status, aiming to offer a reference for clinical nursing staff to understand and choose appropriate risk assessment tools.

Objective:To construct and validate a machine learning model for preoperative prediction of perineural invasion (PNI) status in intrahepatic cholangiocarcinoma (ICC).Methods:Clincial data of 329 patients, including 245 admitted to Zhengzhou University People's Hospital from January 2018 to June 2023 and 84 admitted to the Affiliated Cancer Hospital of Zhengzhou University from January 2013 to January 2020 were retrospectively analyzed. Patients were divided into a training set ( n=231) and a validation set ( n=98). Clinicopathological data including age, gender, hepatitis B virus (HBV) infection status were collected. Predictive variables were determined using least absolute shrinkage and selection operator (LASSO) regression analysis. Six machine learning algorithms including random forest (RF), logistic regression, and linear kernel-based support vector machine were selected to construct the preoperative prediction model for PNI in ICC. Performance metrics of the model were calculated using a confusion matrix, and the final model was selected. The model performance was evaluated in the validation set. Calibration curves were plotted to evaluate the final model, and a Pareto chart was used to visualize the importance of predictive variables. Results:LASSO regression identified nine predictive variables included in the prediction model, including carbohydrate antigen 19-9 (CA19-9), HBV infection status, alkaline phosphatase, alanine aminotransferase, prothrombin time, total bilirubin, albumin, neutrophil times gamma-glutamyl transferase to lymphocyte ratio, and tumor burden score. Among the trained six models, the area under the curve (AUC) of the RF model was 0.909, with a sensitivity of 0.842 and an accuracy of 0.870. Compared with the AUC of the RF model, the AUCs of the other 5 models were lower (all P<0.05). The AUC of the RF model for predicting PNI in ICC in validation set was 0.736. Calibration curves showed good fit of the RF model's prediction of PNI in ICC in both training and validation sets. The Pareto chart showed that CA19-9 was the most important predictive variable in the model, followed by HBV infection status. Conclusion:The machine learning model based on the RF algorithm has a high accuracy in preoperative prediction of PNI status in ICC.

Objective To construct an evidence-based practice model for nurses in preventing deep vein thrombosis(DVT)and provide a scientific and targeted theoretical basis for nurses to carry out evidence-based nursing practice in DVT prevention.Methods Based on the previous evidence-based nursing practice project on DVT prevention after hip and knee arthroplasty,the research team used theoretical analysis and brainstorming to develop a draft of the work model.Expert meetings were organized to validate the content of the draft using the Delphi method,leading to the finalization of the evidence-based practice model for nurses in preventing DVT.Results The Knowledge-to-Action(KTA)framework was selected as the basic framework for constructing the evidence-based nursing practice model for preventing DVT.Theoretical Domain Framework,Theory of Planned Behavior,and Social Cognitive Theory were chosen to explore the influencing factors of nurses'behavior change in preventing DVT through evidence-based practice.The authority coefficient of the participating experts was 0.904,indicating high reliability.The final model consisted of 6 key components:knowledge generation,problem identification,localization and adaptation,knowledge application,sustained knowledge use,and conceptual framework for behavior change through evidence-based practice.Conclusion Based on theoretical analysis and clinical practice,this study developed an evidence-based practice model for nurses in preventing DVT using the expert meeting.The research methodology was scientific,and the content was reliable,providing a theoretical basis for nurses to engage in evidence-based nursing practice for DVT prevention.

Objective Explore the comprehensive emotion adjustment pattern that combines non-contact physiological and psychological detection methods in fasting and low metabolism scenarios.This study aims to verify the accuracy of non-contact physiological and psychological detection algorithms and evaluate the effectiveness of multimodal emotion adjustment schemes for addressing negative emotional states such as depression and anxiety.Methods Deploy non-contact physiological and psychological detection algorithms and emotion adjustment plans to build a multimodal emotion adjustment system.Collect physiological and psychological data from volunteers participating in the 15-days complete fasting human low metabolism experiment of"Green Star Travel Ⅷ".Utilize finger clip oximeters and scales to verify the accuracy of existing non-contact physiological and psychological methods within the system.Design an emotion adjustment experiment featuring four groups:sound adjustment,acupoints adjustment,magnetism adjustment,and combination adjustment.Compare the volunteers'scale scores before and after the adjustments to verify the effectiveness of the system's emotion adjustment capabilities.Results The experimental results demonstrate that the average difference in the Bland-Altman plot for the non-contact heart rate detection model is ﹣0.497 bpm,with 95.3%of the error values falling within the 95%consistency interval.The non-contact psychological detection model achieved an accuracy rate of over 80%in identifying stress,anxiety,and depression,and an accuracy rate of over 70%in identifying fatigue and anger.Following emotion adjustment,the stress levels of the subjects significantly improved(P?