Publications by authors named "Zeping Yan"
Background: Nursing prescribing rights have been proposed in many countries, with physicians' attitudes playing an important role. This study aimed to investigate the attitudes of physicians toward nurse prescribing rights.
Methods: A cross-sectional study of 112 Chinese physicians was conducted from January to March 2024.
Respiratory diseases pose a significant global health burden, with challenges in early and accurate diagnosis due to overlapping clinical symptoms, which often leads to misdiagnosis or delayed treatment. To address this issue, we developed , an artificial intelligence (AI)-based diagnostic system that utilizes natural language processing (NLP) to extract key clinical features from electronic health records (EHRs) for the accurate classification of respiratory diseases. This study employed a large cohort of 31,267 EHRs from multiple centers for model training and internal testing.
View Article and Find Full Text PDFBackground: Post-Traumatic Growth (PTG) relieves physical and psychological stress symptoms in nurses who exposed to nurse-to-nurse horizontal violence (HV), has great intervention potential to reverse the negative effects of HV events. Therefore, in-depth exploration of the overall characteristics of PTG in HV-exposed nurses and its influencing factors are of great practical significance to provide them with precise psychological adaptive interventions.
Objective: This study aims to describe the current state of PTG of HV-exposed nurses and its influencing factors.
Article Synopsis
- Early-stage invasive lung adenocarcinomas (ADC) with specific histological patterns are associated with a higher risk of recurrence after surgery, making preoperative assessment crucial for treatment planning.
- This study developed a deep learning algorithm to analyze preoperative CT scans and identify high-risk versus low-risk histologic patterns in early-stage ADC patients.
- Results showed that the model accurately segmented lesions and successfully distinguished risk groups, with high consistency compared to human experts, achieving an area under the curve (AUC) of 0.89 in the development cohort and 0.87 in the external validation cohort.
Article Synopsis
- Social participation is crucial for rehabilitation after total knee arthroplasty (TKA), yet few studies have focused on this aspect, leading to a need for research on the varying levels of social engagement among patients post-surgery.
- In a study with 255 TKA patients from a hospital in China, researchers categorized participants into three social participation groups three months after surgery: low (17.9%), moderate (40.8%), and high (41.3%).
- The study found that factors such as age, pain level, knee function, and fear of movement significantly influenced the level of social participation in these patients, highlighting the need for tailored post-operative care.
Background: Older patients with chronic heart failure (CHF) are prone to insomnia. Studies have shown that insomnia affects the onset of cognitive frailty and is also strongly associated with depressive symptoms and social support. However, information on how these factors interact to influence cognitive frailty remains underexplored.
View Article and Find Full Text PDFTeam cohesion, as a necessary condition for the cooperation and development of a team, has been shown to have a strong association with team performance. However, the mechanism of this internal correlation is unclear and more in-depth studies are lacking. The study aimed to explore the complex links between the dimensions of team cohesion and performance in nurses.
View Article and Find Full Text PDFBackground: Arthritis primarily affects older people and is a prominent cause of their activity impairment. This study aimed to examine the mediating role of depressive symptoms in the relationship between social participation and activity impairment, as well as to determine whether sex moderated the mediating effect.
Methods: A total of 2247 older patients with arthritis were included from the China Health and Retirement Longitudinal Study between 2015 and 2018.
Background: The long-term quality of life of Chinese patients with pulmonary hypertension has been seriously compromised. Interventions to enhance patient quality of life of are urgently required.
Objective: To investigate the relationship between quality of life and its influencing factors in patients through network analysis.
The mediation effect of social support between stigma and social alienation in patients with stroke.
Front Public Health
December 2023
Article Synopsis
- A study examined the connection between stigma and social alienation in stroke patients, finding that social support plays a mediating role in this relationship.
- Conducted with 248 stroke patients in Beijing, the research utilized various assessment scales to analyze the effects of stigma on social support and social alienation.
- Results showed that stigma negatively impacts social support and positively influences social alienation, indicating that boosting social support could help alleviate feelings of alienation among stroke patients.
Objectives: The present study aimed to systematically review the current randomized clinical trials (RCTs) with respect to computer-aided design/computer-aided manufactured (CAD/CAM) techniques in the process of implant planning, placement, and rehabilitation.
Materials And Methods: Four independent reviewers conducted an electronic and manual literature search using several databases, including the National Library of Medicine (MEDLINE-PubMed), Cochrane Central Register of Controlled Trials (CENTRAL), and EMBASE. Articles were included if they were RCTs involving the interventions regarding the computer-guided impression, placement, and manufacturing process.
Article Synopsis
- * In a study that involved 7825 neoplasm cases and advanced algorithms, CAIMEN was tested across multiple centers, revealing strong performance with an area under the ROC curve of 0.973 for detection and a dice score of 0.765 for segmentation.
- * CAIMEN's classification accuracy reached 52.3% for top-1 and 79.9% for top-3, outperforming human clinicians in some tests, proving its potential as a supportive tool in diagnosing mediast
Objectives: To investigate the level of social frailty (SF) in older patients with chronic heart failure (CHF) and examine the mediating role of social support and depressive symptoms between activities of daily living and SF.
Methods: Using a convenience sampling method, 205 older patients with CHF were recruited from China between November 2021 and May 2022. Activities of daily living, social support, depressive symptoms, and SF were assessed using a self-administered questionnaire.
A poor quality of life (QoL) in patients with pulmonary hypertension (PH) is often associated with emotional disturbances and the ability to cope. Little is known, however, about the intrinsic links among the QoL, fear of disease progression (FoP), and coping styles in patients with PH. The purpose of this study was to elucidate the relationships among QoL, FoP, and coping styles in patients with PH.
View Article and Find Full Text PDFBackground: Exercise rehabilitation is conducive to increasing functional ability and improving health outcomes, but its effectiveness in patients with acute heart failure (AHF) is still controversial.
Purpose: In this study, our aim was to systematically examine the efficacy of exercise rehabilitation in people with AHF.
Methods: A search was conducted for randomized controlled trial studies on exercise rehabilitation in patients with AHF up to November 2021.
Background: Kinesiophobia is one of the most common and aversive psychological phenomena among patients after total knee arthroplasty (TKA). This study aimed to identify trajectories of kinesiophobia, examine factors distinguishing these trajectories, and clarify the association between trajectories of kinesiophobia and rehabilitation outcomes.
Methods: In this prospective cohort study, the patients who underwent TKA were recruited between December 2021 and April 2022 from three orthopedic wards of a tertiary hospital in China.
Background: Chronic post-surgical pain (CPSP) is a common but undertreated condition with a high prevalence among patients undergoing total knee arthroplasty (TKA). An effective model for CPSP prediction has not been established yet.
Aims: To construct and validate machine learning models for the early prediction of CPSP among patients undergoing TKA.
Objective: This study aimed to investigate the prevalence of cognitive frailty among older adults in China.
Design: Systematic review and meta-analysis.
Methods: We searched the Cochrane Library, PubMed, Web of Science, Embase, China National Knowledge Infrastructure(CNKI), Wanfang, Chinese Biomedical Literature and Weipu (VIP) databases to collect information on the epidemiology of cognitive frailty among older adults in China.
A novel nomogram for predicting risk of malnutrition in patients with heart failure.
Front Cardiovasc Med
March 2023
Background And Aims: This study aimed to explore the risk factors of malnutrition in patients with heart failure and construct a novel nomogram model.
Methods And Results: A cross-sectional study based on the STROBE checklist. Patients with heart failure from July 2020 to August 2021 were included.
Background: Compared to other healthcare workers, nurses are more vulnerable to the potentially devastating effects of pandemic-related stressors. Studies have not yet investigated the deeper characteristics of the relationship between team resilience and team performance among nurses during the COVID-19 pandemic. This study aimed to elucidate the characteristics of team resilience and performance networks among nurses during the pandemic.
View Article and Find Full Text PDFBackground: Pain is the primary symptom of knee osteoarthritis (KOA), significantly associated with depressive symptoms. Whether the early pain intensity could distinguish different trajectories of depressive symptoms is not well understood among patients with KOA.
Aims: To identify heterogeneous depressive symptoms trajectories among patients with KOA, and investigate the association between depressive symptoms subgroups and pain intensity.
Background: Developing prediction tools for immunotherapy approaches is a clinically important and rapidly emerging field. The routinely used prediction biomarker is inaccurate and may not adequately utilize large amounts of medical data. Machine learning is a promising way to predict the benefit of immunotherapy from individual data by individuating the most important features from genomic data and clinical characteristics.
View Article and Find Full Text PDFObjective: This study examines the relationships among family resilience, functional exercise adherence, and symptom burden in postoperative breast cancer patients.
Methods: In this cross-sectional study, participants consisted of 192 women with breast cancer who had undergone breast cancer surgery in two hospitals in Shandong Province, China. Family resilience, functional exercise adherence, and symptom burden were measured using the 32-item shortened Chinese version of the Family Resilience Assessment Scale (FRAS-C), Postoperative Functional Exercise Compliance Scale for Breast Cancer Patients, and the Chinese version of the M.
Aims: Malnutrition is common in patients with heart failure (HF) and is associated with poorer quality of life and increased mortality; however, an effective screening tool for malnutrition and its impact on the readmission of patients with HF is uncertain. Our objectives were to study (i) the nutritional status of Chinese hospitalized patients with HF and its impact on readmission and (ii) the validity of seven malnutrition screening tools.
Methods And Results: In this study, univariate and multivariate analyses of Cox proportional hazards regression were used to determine important predictors of readmission.
Aim: This study examined the validity and reliability of the Analysing and Developing Adaptability and Performance in Teams to Enhance Resilience (ADAPTER) Scale in a sample of Chinese nurses.
Background: Nurse shortage caused by job stress in China is becoming more acute, while research on team resilience training among nurses is still rising. To accurately and consistently describe team resilience status prior to training and evaluate the effects of resilience interventions at the team level among nurses, it is critical to develop a valid and reliable Chinese measure.