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| http://dx.doi.org/10.1016/S2468-2667(22)00224-9 | DOI Listing |
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Prediction of postoperative stroke in patients experienced coronary artery bypass grafting surgery: a machine learning approach.
Front Cardiovasc Med
December 2024
Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Background: Coronary artery bypass grafting (CABG) surgery has been a widely accepted method for treating coronary artery disease. However, its postoperative complications can have a significant effect on long-term patient outcomes. A retrospective study was conducted to identify before and after surgery that contribute to postoperative stroke in patients undergoing CABG, and to develop predictive models and recommendations for single-factor thresholds.
View Article and Find Full Text PDFConstruction and validation of coronary heart disease risk prediction model for general hospitals in Tacheng Prefecture, Xinjiang, China.
Front Cardiovasc Med
December 2024
Department of Cardiovascular Medicine, Tacheng People's Hospital, Tacheng, China.
Objective: To analyze the risk factors for coronary heart disease (CHD) in patients hospitalized in general hospitals in the Tacheng Prefecture, Xinjiang, and to construct and verify the nomogram prediction model for the risk of CHD.
Methods: From June 2022 to June 2023, 489 CHD patients (CHD group) and 520 non-CHD individuals (control group) in Tacheng, Xinjiang, were retrospectively selected. Using a 7:3 ratio, patients were divided into a training group (706 cases) and a validation group (303 cases).
Age Differences in the Associations Between Interpersonal Relationships and Short-Form Video Addiction Symptoms: A Network Analysis.
Psychol Res Behav Manag
December 2024
Collaborative Innovation Center of Assessment for Basic Education Quality, Beijing Normal University, Beijing, People's Republic of China.
Purpose: A considerable body of evidence indicated that interpersonal relationships were significantly associated with short-form video addiction (SFVA) among adolescents, but how they are related on a symptom level at different ages remains unclear. This study aimed to explore the central symptoms of SFVA and distinct associations between three primary interpersonal relationships (ie, teacher-student relationships, parent-child relationships, peer relationships) and SFVA symptoms in early and middle adolescence.
Participants And Methods: After completing scales of SFVA, teacher-student relationship, parent-child relationship and peer relationship in 2022, a sample of 1579 fourth-grade students (age range: 10-12; = 10.
Chronic impacts of natural infrastructure on the physical and psychological health of university students during and after COVID-19: a case study of Chengdu, China.
Front Public Health
December 2024
Landscape Architecture College, Sichuan Agricultural University, Chengdu, China.
Introduction: The COVID-19 pandemic has underscored the health benefits of green spaces, yet research on how specific elements of natural infrastructure affect well-being during the pandemic has been limited.
Methods: This study, conducted at Sichuan Agricultural University with 300 students in 2022, investigated how urban natural infrastructure impacts physical and psychological well-being during the pandemic. Different aspects of natural infrastructure, such as thermal comfort, air quality (negative ion concentration), and noise and light levels, varied in their positive effects on students' health.
COVID-19 outbreaks caused by different SARS-CoV-2 variants: a descriptive, comparative study from China.
Front Public Health
December 2024
National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, NHC Key Laboratory of Medical Virology and Viral Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Objectives: To understand the epidemic characteristics of various SARS-CoV-2 variants, we mainly focus on analyzing general epidemic profiles, viral mutation, and evolution of COVID-19 outbreaks caused by different SARS-CoV-2 variants of concern (VOCs) in China as of August 2022.
Methods: We systematically sorted out the general epidemic profiles of outbreaks caused by various SARS-CoV-2 VOCs in China, compared the differences of outbreaks caused by Delta and Omicron VOCs, and analyzed the mutational changes of subvariants between the same outbreak and different outbreaks.
Findings: By 15 August 2022, a total of 2, 33, and 124 COVID-19 outbreaks caused by Alpha, Delta, and Omicron VOCs, respectively, were reported in different regions of China.
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