Publications by authors named "Yuewei Li"

The purpose of study was to evaluate the predictive performance of models for the development of arrhythmias in patients with acute coronary syndrome after percutaneous coronary intervention. Two researchers screened the literature according to CHARMS, and assessed the risk of bias and applicability based on PROBAST. A total of 44 studies were included in the review, comprising 62 models, of which 30 models identified as having a low risk of bias, and only 7 studies combined other machine learning algorithms.

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  • Decision fatigue is when people get tired of making decisions, which can make it hard for nurses to do their job well, especially during tough times like the COVID-19 pandemic.
  • A study with 14 nurses showed that decision fatigue has three main themes: how it affects their thinking and feelings, what causes it, and ways to avoid it.
  • The study found that decision fatigue is common among nurses and negatively impacts their health and patient care, and more education about decision fatigue is needed for nurses.
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Allergic respiratory diseases can increase serum carcinoembryonic antigen levels. We report three cases experiencing allergic symptoms that proved refractory to inhaled corticosteroids but exhibited a positive response to long-term treatment with oral corticosteroids. This response was characterized by a synchronous alteration in serum eosinophil counts and carcinoembryonic antigen levels.

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Introduction: Dysnatremia is strongly associated with poor prognosis in acute kidney injury (AKI); however, the impact of sodium trajectories on the prognosis of patients with AKI has not yet been well elucidated. This study aimed to assess the association between sodium trajectories in patients with AKI and mortality at 30-day and 1-year follow-up.

Methods: This retrospective cohort study used data from Medical Information Mart for Intensive Care (MIMIC)-IV database, and patients diagnosed with AKI within 48 h after admission were enrolled.

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  • The study aims to enhance the early detection and management of frailty in elderly individuals using machine learning algorithms, ultimately improving their quality of life and reducing healthcare burdens.
  • Data from 6,997 elderly participants over several years were analyzed with four machine learning techniques to identify risk factors and develop prediction models for frailty.
  • Among the models tested, the random forest algorithm showed the highest performance with an area under the curve (AUC) of 0.75, suggesting that these models can effectively assist healthcare providers in anticipating frailty risks in elderly patients.
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The inadequate quantity of hydrogen peroxide (HO) in cancer cells promptly results in the constrained success of chemodynamic therapy (CDT). Significant efforts made throughout the years; nevertheless, researchers are still facing the great challenge of designing a CDT agent and securing HO supply within the tumor cell. In this study, taking advantage of HO level maintenance mechanism in cancer cells, a nanozyme-based bimetallic metal-organic frameworks (MOFs) tandem reactor is fabricated to elevate intracellular HO levels, thereby enhancing CDT.

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Aim: This study aimed to evaluate the effects of blended learning on nursing students. The primary outcomes include knowledge and skills, and the secondary outcomes include critical thinking ability, mental health, blended learning design, and nursing students' attitudes toward blended learning.

Background: Blended learning combines the advantages of online learning and traditional face-to-face learning, and makes up for the disadvantages of simple online learning or traditional learning.

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Introduction: A variety of gene rearrangements and molecular alterations are key drivers in the pathobiology of acute leukemia and myeloid disorders; current classification systems increasingly incorporate these findings in diagnostic algorithms. Therefore, clinical laboratories require versatile tools, which can detect an increasing number and variety of molecular and cytogenetic alterations of clinical significance.

Methods: We validated an RNA-based next-generation sequencing (NGS) assay that enables the detection of: (i) numerous hybrid fusion transcripts (including rare/novel gene partners), (ii) aberrantly expressed EVI1 (MECOM) and IKZF1 (Del exons 4-7) transcripts, and (iii) hotspot variants in KIT, ABL1, NPM1 (relevant in the context of gene rearrangement status).

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  • Geriatric depression is a critical public health issue, linked to poor autobiographical memory and heightened overgeneral memory, necessitating effective, economical interventions.
  • This study plans to test the effectiveness of combining reminiscence therapy with memory specificity training to enhance memory and reduce depressive symptoms in older adults aged 65 and over.
  • The research will compare outcomes among three groups (remembrance therapy, combined therapy, and usual care) over several months, aiming to demonstrate that improved autobiographical memory can significantly alleviate depressive symptoms in the elderly.
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Objective: Reminiscence interventions have been extensively used to improve the psychological health of people with dementia. However, there is uncertainty about the effectiveness of group reminiscence interventions for older adults with intact cognition and mild cognitive impairment. Based on the large number of older adults and strained health care resources in China, we conducted a systematic review of the evidence on the effectiveness of group reminiscence interventions for older adults with intact cognition or mild cognitive impairment.

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  • * Current treatment options range from wound dressings to advanced therapies such as stem cells and gene therapy, but many have limitations, including cost and efficacy in preventing complications like amputation.
  • * There is a pressing need for affordable, non-surgical treatments, with research exploring the potential of plant extracts like Bauhinia purpurea and others as alternative therapeutic options.
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Research Question: Can a multi-modal fusion model based on ultrasound-based deep learning radiomics combined with clinical parameters provide personalized evaluation of endometrial receptivity and predict the occurrence of clinical pregnancy after frozen embryo transfer (FET)?

Design: Prospective cohort study of women (n = 326) who underwent FET between August 2019 and December 2021. Input quantitative variables and input image data for radiomic feature extraction were collected to establish a multi-modal fusion prediction model. An additional independent dataset of 453 ultrasound endometrial images was used to establish the segmentation model to determine the endometrial region on ultrasound images for analysis.

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Background: Although tigecycline is an effective drug against drug-resistant bacteria, it demonstrated a higher all-cause mortality than comparator antibiotics and a high incidence of coagulation disorders which can be accompanied by severe bleeding. At present, a predictive model for tigecycline-related coagulopathy is not readily available, and the prognostic value of coagulopathy in tigecycline-administered patients has not been elucidated. In this paper, we investigate the association between tigecycline-related coagulopathy and in-hospital mortality to develop a nomogram for the prediction of tigecycline-related coagulopathy.

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Background: Pancreaticoduodenectomy is the first choice surgical intervention for the radical treatment of pancreatic tumors. However, an anastomotic fistula is a common complication after pancreaticoduodenectomy with a high mortality rate. With the development of minimally invasive surgery, open pancreaticoduodenectomy (OPD), laparoscopic pancreaticoduodenectomy (LPD), and robotic pancreaticoduodenectomy (RPD) are gaining interest.

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Purpose: To evaluate the impact of one-time high load exercise on skeletal muscle injury and analysis its mechanism in different genders.

Methods: Twenty-four male and 24 female rats were divided randomly into four groups respectively: control, 0 h, 6 h, and 24 h after exercise. The activities of creatine kinase (CK), lactate dehydrogenase (LDH), and myohemoglobin (MYO) in serum, the expression level of oxidative stress markers, mitochondrial respiratory chain complex enzyme, and the apoptosis related protein in quadriceps were detected.

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Purpose: The purpose of this study was to investigate the relationship among depression, alexithymia, and social support and examine the main influence factors of depression in patients with colorectal cancer (CRC). In addition, the mediating role of alexithymia between social support and depression was analyzed.

Methods: Patients with CRC were recruited in two tertiary hospitals in Changchun via a convenience sampling method.

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Despite the success, it is highly challenging to battle against pathogenic biofilms-based chronic bacterial infections by conventional antibiotic therapy. Herein, we report a near-infrared (NIR)/acid-induced nanoplatform based on chitosan (CS)-coated indocyanine green (ICG, photosensitizer)/luteolin (LUT, a natural quorum sensing inhibitor) nanocomposites (ICG/LUT-CS) as antibacterial and antibiofilm agents for skin wound healing. Initially, the ICG/LUT nanoplatforms are prepared by the supercritical antisolvent technology and coated with the CS layer.

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Research Question: Can a novel deep learning-based follicle volume biomarker using three-dimensional ultrasound (3D-US) be established to aid in the assessment of oocyte maturity, timing of HCG administration and the individual prediction of ovarian hyper-response?

Design: A total of 515 IVF cases were enrolled, and 3D-US scanning was carried out on HCG administration day. A follicle volume biomarker established by means of a deep learning-based segmentation algorithm was used to calculate optimal leading follicle volume for predicting number of mature oocytes retrieved and optimizing HCG trigger timing. Performance of the novel biomarker cut-off value was compared with conventional two-dimensional ultrasound (2D-US) follicular diameter measurements in assessing oocyte retrieval outcome.

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Background: To investigate the protective effect of low-dose radiation (LDR) on brain injury in mice induced by doxorubicin (DOX).

Methods: Sixty female BALB/C mice were randomly divided into the control (CTR) group, low-dose radiation (LDR) group, doxorubicin treatment (DOX) group and low-dose radiation before doxorubicin treatment (COM) group. After 72 h of exposure to 75 mGy, the mice were intraperitoneally injected with 7.

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Liquid crystal display (LCD)-based 3D printing, a facile and cost-effective manufacturing technique, is often applied when fabricating objects with porcelain structures using photosensitive resins (PSRs). Currently, 3D printed constructions are typically used as models for demonstration purposes rather than industrial applications because of their poor performance. In this study, we prepared nanocomposites by incorporating TiC MXene nanosheets to enhance the overall characteristics of a PSR, including mechanical properties and thermal resistance.

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Purpose: Colchicine, a multipotent anti-inflammatory drug, has been reported to alleviate cardiac remodeling and improve cardiac function after acute myocardial infarction (AMI). However, the underlying mechanism remains incompletely understood. Because neutrophils extracellular traps (NETs) enhance inflammation and participate in myocardial ischemia injury, and colchicine can inhibit NETosis, we thus aimed to determine whether colchicine exerts cardioprotective effects on AMI via suppressing NETs.

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Objectives: We aimed to develop an effective tool for predicting severe acute kidney injury (AKI) in patients admitted to the cardiac surgery recovery unit (CSRU).

Design: A retrospective cohort study.

Setting: Data were extracted from the Medical Information Mart for Intensive Care (MIMIC)-III database, consisting of critically ill participants between 2001 and 2012 in the USA.

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Background: Frailty is considered a major public health challenge of the 21st century, characterized by the decline of multiform body functions. Physical activity may be the most effective intervention to delay frailty. This study aims to verify the effect of remotely supervised physical activity on health profile in community-dwelling frail older adults.

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Article Synopsis
  • Atherosclerosis is a chronic inflammatory disease causing the buildup of fatty lesions in arteries, leading to significant cardiovascular mortality worldwide.
  • Recent research suggests that ferroptosis, a type of programmed cell death, may play a role in atherosclerosis, although its mechanisms are not fully understood.
  • The study identified 59 ferroptosis-related genes in atherosclerosis, conducted analyses to understand their functions, and constructed networks to explore how these genes interact with non-coding RNAs, helping to uncover potential new therapeutic targets.
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