19 hasil untuk "Tianshu Gu"
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Artikel Jurnal
Toward a Country-Based Prediction Model of COVID-19 Infections and Deaths Between Disease Apex and End: Evidence From Countries With Contained Numbers of COVID-19
The complexity of COVID-19 and variations in control measures and containment efforts in different countries have caused difficulties in the prediction and modeling of the COVID-19 pandemic. We attempted to predict the scale of the latter half of the pandemic based on real data using the ratio…
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Artikel Jurnal
Self-Rated Health as an Independent Predictor of All-Cause Mortality in Patients With Non-ST-Segment Elevation Myocardial Infarction
Background: This investigation aimed to examine the association between subjective health perception and mortality risk in individuals diagnosed with non-ST-segment elevation myocardial infarction (NSTEMI). Methods: This study conducted a multicenter retrospective analysis of 29,465 patients with…
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Mitigating bias in AI mortality predictions for minority populations: a transfer learning approach
Abstract Background The COVID-19 pandemic has highlighted the crucial role of artificial intelligence (AI) in predicting mortality and guiding healthcare decisions. However, AI models may perpetuate or exacerbate existing health disparities due to demographic biases, particularly affecting racial…
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AI-Assisted Hypothesis Generation to Address Challenges in Cardiotoxicity Research: Simulation Study Using ChatGPT With GPT-4o
BackgroundCardiotoxicity is a major concern in heart disease research because it can lead to severe cardiac damage, including heart failure and arrhythmias. ObjectiveThis study aimed to explore the ability of ChatGPT with GPT-4o to generate innovative research hypotheses to address 5 major…
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Integrated whole transcriptome analysis for the crucial regulators and functional pathways related to cardiac fibrosis in rats
Background: Cardiac fibrosis has gradually gained significance in the field of cardiovascular disease; however, its specific pathogenesis remains unclear. This study aims to establish the regulatory networks based on whole-transcriptome RNA sequencing analyses and reveal the underlying mechanisms…
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Artikel Jurnal
Combination therapy of statin and acipimox versus statin monotherapy in acute myocardial infarction with hypertriglyceridemia: a multicenter propensity score–matched analysis
Abstract Background Residual cardiovascular risk persists in patients with acute myocardial infarction (AMI) and hypertriglyceridaemia despite statin therapy. The potential benefit of acipimox, a niacin derivative, as an adjunct to statins in this context remains uncertain. This study evaluated the…
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Combining Insulin Resistance and Renal Function to Predict Cardiovascular Events: A Multicenter Cohort Study
Background: Insulin resistance (IR) and chronic kidney disease (CKD) are independent risk factors for cardiovascular disease (CVD). The triglyceride-glucose (TyG) index is recognized as a convenient marker for IR, while the estimated glomerular filtration rate based on both creatinine and cystatin…
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Evaluation of the potential value of artificial intelligence (AI) in public health using fluoride intake as the example
Aim: We aimed to test whether and how ChatGPT understood the epidemiological problems related to fluoride intake and whether ChatGPT could produce novel and feasible hypotheses to tackle the challenges in the research for the disorders caused by a deficient or excessive fluoride intake. Material…
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Artikel Jurnal
Cfa-circ002203 was upregulated in rapidly paced atria of dogs and involved in the mechanisms of atrial fibrosis
Background and aimsThe role of circular RNAs (circRNAs) in the pathophysiology of cardiovascular disease is gradually being elucidated; however, their roles in atrial fibrillation (AF)-related fibrosis are largely unknown. This study aimed to characterize the different circRNA profiles in the…
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Prognostic value of the BAB index and a machine learning model integrating the BAB index for predicting mortality in acute ST-segment elevation
BackgroundThe high mortality in ST-segment elevation myocardial infarction (STEMI) is associated not only with organ dysfunction and complications, but also with nutritional status. We aim to develop and validate a simple prognostic tool based on routinely serum biomarkers for predicting short- and…
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Artikel Jurnal
Erythrocytosis after SGLT2 inhibitor initiation and anticoagulated outcomes in atrial fibrillation: a real-world analysis with counterfactual modeling
Abstract Background Erythrocytosis has emerged as a hematologic response to sodium–glucose cotransporter 2 (SGLT2) inhibitor therapy, yet its occurrence and potential impact on bleeding and thromboembolic outcomes among patients with atrial fibrillation receiving anticoagulant therapy remain…
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Development and Validation of an Interpretable Machine Learning Model for Predicting 1‐Year Cardiac Death After Percutaneous Coronary Intervention in Patients With Acute Myocardial Infarction: A Multicenter Study
Background Risk prediction of cardiac death following percutaneous coronary intervention remains suboptimal in acute myocardial infarction. This study aimed to develop and externally validate an interpretable machine learning model using only routine laboratory and demographic variables to predict…
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Artikel Jurnal
The Data set for Patient Information Based Algorithm to Predict Mortality Cause by COVID-19
The data of COVID-19 disease in China and then in South Korea were collected daily from several different official websites. The collected data included 33 death cases in Wuhan city of Hubei province during early outbreak as well as confirmed cases and death toll in some specific regions, which…
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Comprehensive analysis of m6A methylated modification of fibrotic atria in rats induced by chronic intermittent hypoxia
BackgroundAtrial fibrosis serves as a key pathological basis for atrial fibrillation, significantly elevating the risk of cardiovascular events. However, its molecular mechanisms remain incompletely understood. N⁶-methyladenosine (m6A) modifications have been proven to involve in the pathological…
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Beta-Blocker Use After Acute Myocardial Infarction
Background: Beta-blocker (BB) benefits after acute myocardial infarction (AMI) may differ by heart failure (HF) phenotype in the contemporary reperfusion era. Objectives: The authors evaluated associations of in-hospital BB therapy with 1-year outcomes after AMI complicated by HF, stratified by…
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Invasive versus non-invasive management in non-ST segment elevation myocardial infarction patients with pulmonary hypertension
Background Non–ST-segment elevation myocardial infarction (NSTEMI) represents a substantial proportion of acute coronary syndrome and is associated with considerable morbidity and mortality. Pulmonary hypertension (PH) is linked to adverse cardiovascular outcomes and may complicate management…
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Artikel Jurnal
Optimized Dynamic Network Biomarker Deciphers a High‐Resolution Heterogeneity Within Thyroid Cancer Molecular Subtypes
ABSTRACT The progression of differentiated thyroid carcinoma (DTC) poses significant clinical challenges, especially in determining the optimal time for intervention. To capture early signals of disease progression, we employed an optimized dynamic network biomarker (DNB) method—a systems biology…
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Circadian Immunity and Vascular Inflammation in Cardiovascular Disease Chronotherapy Windows: Time for a Re‐Assessment
ABSTRACT Circadian rhythms orchestrate cardiovascular physiology by regulating immune and inflammatory pathways. Disruption of these rhythms profoundly alters vascular homeostasis, thereby promoting the onset and progression of cardiovascular diseases (CVD). Evidence from experimental and clinical…