Publications by authors named "Jiongchao Guo"
Background: Previous studies have adequately characterized the gut microbiota (GM) in atrial fibrillation (AF). Nevertheless, the precise causality between GM and AF remains elusive.
Objectives: This study utilized public data from genome-wide association studies to explore the causality between GM and AF.
Article Synopsis
- The study investigates the effectiveness of Pan-immune-inflammation value (PIV) as a biomarker for predicting major adverse cardiovascular events (MACE) and the severity of coronary artery stenosis in patients with STEMI post-PCI.
- It involved 542 STEMI patients who underwent PCI and analyzed various inflammatory markers, concluding that PIV shows stronger predictive power compared to other indices like SII, PLR, and NLR.
- Results indicated a strong correlation between PIV and the Gensini score, suggesting its potential as a reliable predictor for patient outcomes during hospitalization.
Objective: To make predictions about the risk of MVA (Malignant Ventricular Arrhythmia) after primary PCI (Percutaneous Coronary Intervention) in patients with AMI (Acute Myocardial Infarction) through constructing and validating the Nomogram model.
Methods: 311 AMI patients who suffered from emergency PCI in Hefei Second People's Hospital from January 2020 to May 2023 were selected as the training set; 253 patients suffering from the same symptom in Hefei First People's Hospital during the same period were selected as the validation set. Risk factors were further screened by means of multivariate logistic and stepwise regression.
Background: Systemic Inflammatory Response Index (SIRI), a composite inflammatory marker encompassing neutrophils, monocytes, and lymphocytes, has been recognized as a reliable marker of systemic inflammation. This article undertakes an analysis of clinical data from ST-segment Elevation Myocardial Infarction (STEMI) patients, aiming to comprehensively assess the relationship between SIRI, STEMI, and the degree of coronary stenosis.
Methods: The study involved 1809 patients diagnosed with STEMI between the years 2020 and 2023.
Article Synopsis
- Elderly patients with non-valvular atrial fibrillation (NVAF) are at a significantly higher risk for acute ischemic stroke (AIS), prompting the development of a new prediction model incorporating various biomarkers.
- This study involved 301 NVAF patients, who were assessed through statistical methods like LASSO regression and logistic regression to identify risk factors for AIS, ultimately leading to the creation of a nomogram for predictions.
- Key independent risk factors identified included neutrophil-to-lymphocyte ratio (NLR), red cell distribution width (RDW), and history of stroke, while high-density lipoprotein cholesterol (HDL-C) was found to be a protective factor; the nomogram outperformed the existing CHA2DS
Background: Neutrophil to high-density lipoprotein cholesterol ratio (NHR) has demonstrated predictive value for coronary artery disease (CAD). However, few research has been conducted on the predictive capacity of NHR for Major Adverse Cardiovascular Events (MACE) following Percutaneous Coronary Intervention (PCI) or the degree of coronary artery stenosis in hospitalized ST-segment elevation myocardial infarction (STEMI) patients.
Methods: The study involved 486 patients diagnosed with STEMI between the years 2020 and 2023.
Background And Aims: Acute myocardial infarction (AMI) is a prevalent medical condition associated with significant morbidity and mortality rates. The principal underlying factor leading to myocardial infarction is atherosclerosis, with dyslipidemia being a key risk factor. Nonetheless, relying solely on a single lipid level is insufficient for accurately predicting the onset and progression of AMI.
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