Publications by authors named "Bi Huang"

Background: The stress hyperglycemia ratio (SHR) has been established as a predictor of unfavorable outcomes across various diseases. However, its relationship with prognosis in patients with cardiogenic shock (CS) remains unclear. This study aims to investigate the association between SHR and outcomes in CS patients.

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  • The study investigates the impact of the triglyceride-glucose index (TyG) on mortality rates in ICU patients who experienced their first-ever strokes.
  • It utilizes data from a large database and local ICUs, employing statistical models to analyze the relationship between TyG levels and both ICU and hospital mortality as well as length of stay.
  • Findings indicate that higher TyG levels significantly correlate with increased mortality risk, and machine learning models based on TyG demonstrate promising predictive capabilities for ICU outcomes.
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Background: Few data are available about the impact of oral anticoagulants (OAC) in patients with Atrial Fibrillation (AF) and clinical complexity (CC).

Methods: We conducted a retrospective study utilising data from the TriNetX network. Based on ICD-10-CM codes entered between 2020 and 2022, AF patients aged ≥75 years on long-term OAC with CC were categorised into two groups based on OAC use in the year before entering the study (maintained vs discontinued).

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Background: Although oral anticoagulation decreases the risk of thromboembolism in patients with atrial fibrillation (AF), a residual risk of thrombotic events still exists. This study aimed to construct machine learning (ML) models to predict the residual risk in these patients.

Methods: Patients with newly diagnosed non-valvular AF were collected from the Global Registry on Long-Term Oral Anti-Thrombotic Treatment in Patients with Atrial Fibrillation (GLORIA-AF) registry.

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Background: Patients with atrial fibrillation (AF) frequently experience multimorbidity. Cluster analysis, a machine learning method for classifying patients with similar phenotypes, has not yet been used in South Asian AF patients.

Methods: The Kerala Atrial Fibrillation Registry is a prospective multicentre cohort study in Kerala, India, and the largest prospective AF registry in South Asia.

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  • Atrial fibrillation (AF) patients in the ICU experience significant mortality risks, heavily influenced by glycaemic variability (GV), which relates to poor sugar control and can worsen their prognosis.
  • Higher GV levels correlate with increased all-cause mortality at 30, 90, and 360 days after ICU admission, indicating a need for better glycaemic management.
  • Machine learning models, particularly using light gradient boosting, show promise in predicting 30-day mortality among AF patients based on GV and other clinical features.
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  • Cardiac complications, known as stroke-heart syndrome (SHS), can occur after ischemic stroke, increasing mortality risk in patients.
  • In a study involving 15,054 ischemic stroke patients, 11.8% developed SHS, with significant death rates linked to when SHS symptoms appeared, especially 10 to 30 days post-stroke.
  • The most common SHS manifestation, ECG abnormalities, along with acute myocardial injury and heart failure, presented the highest 90-day death risk in affected patients.
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Background: The prediction of ischaemic stroke in patients with heart failure with reduced ejection fraction (HFrEF) but without atrial fibrillation (AF) remains challenging. Our aim was to evaluate the performance of machine learning (ML) in identifying the development of ischaemic stroke in this population.

Methods: We performed a post-hoc analysis of the WARCEF trial, only including patients without a history of AF.

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Background: Anticoagulation therapy in patients with atrial fibrillation (AF) and concomitant cancer can be challenging due to the significantly increased risk of both embolism and bleeding. Moreover, the benefits and risks of vitamin K antagonists (VKA, eg. warfarin) versus non-vitamin K antagonist oral anticoagulants (NOACs) in such patients are less well understood.

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Psychoactive substances abuse is a global issue, with the methamphetamine (METH) being the most used and produced illicit substance in recent years. METH has been recognized as emerging contaminants in aquatic ecosystems. Research on the removal of METH from surface water is still lacking in-depth exploration.

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Background: Adverse cardiac events following ischaemic stroke (stroke-heart syndrome, SHS) pose a clinical challenge. We investigated the association between initial blood pressure at stroke presentation and the risk of SHS.

Methods: We utilised data from the Virtual International Stroke Trials Archive (VISTA).

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Interferon-induced transmembrane proteins (IFITMs) are upregulated by interferons. They are not only highly conserved in evolution but also structurally consistent and have almost identical structural domains and functional domains. They are all transmembrane proteins and have multiple heritable variations in genes.

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Background: The patient clinical phenotypes at particularly high risk for early cardiac complications after a recent acute ischaemic stroke (AIS), that is, stroke-heart syndrome (SHS), remain poorly defined. We utilised hierarchical cluster analysis to identify specific phenotypic profiles associated with this risk.

Methods: We gathered data on patients with AIS from the Virtual International Stroke Trials Archive, a global repository of clinical trial data.

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  • The study examines early cardiac complications in patients with intracerebral hemorrhage (ICH), exploring how these complications relate to the stroke-heart syndrome, an under-researched area.
  • Using data from a large international stroke trial database, researchers analyzed cardiac events occurring within 30 days after ICH or acute ischemic stroke (AIS), such as heart failure and arrhythmias.
  • Results showed that while ICH patients had a lower overall rate of cardiac events compared to those with AIS, the incidence of certain complications, particularly atrial fibrillation, was significantly reduced in the ICH group.
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  • A study explored the risk of thromboembolic events in patients with atrial fibrillation (AF) who were on oral anticoagulants (OACs) by analyzing different patient profiles.
  • Researchers used data from over 22,000 patients in the GLORIA-AF registry and identified five distinct patient profiles, including factors like age, obesity, and hypertension.
  • Among the profiles, "frailty" had the highest risk for thromboembolic events and death, while a profile classified as "young and obese" showed the lowest risk, highlighting the need for tailored risk assessment in AF patients.
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Introduction: Cardiogenic shock (CS) is the most critical complication after acute myocardial infarction (AMI) with mortality above 50%. Both blood urea nitrogen and left ventricular ejection fraction were important prognostic indicators. We aimed to evaluate the prognostic value of admission blood urea nitrogen to left ventricular ejection fraction ratio (BUNLVEFr) in patients with AMI complicated by CS (AMI-CS).

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Aims: Atrial fibrillation (AF) and diabetes mellitus (DM) are both associated with adverse clinical events, but the associations have not been fully elucidated, particularly with concomitant insulin use. This study aimed to analyse the associations between adverse events and DM, as well as adverse events and sole insulin use.

Materials And Methods: Our analysis included individuals with AF from the prospective Global Registry on Long-Term Oral Anti-Thrombotic Treatment in Patients with Atrial Fibrillation (GLORIA-AF) registry with 3-year follow-up.

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Background: The relationship between free fatty acids (FFAs) and the risk of mortality remains unclear. There is a scarcity of prospective studies examining the associations between specific FFAs, rather than total concentrations, of their effect on long-term health outcomes.

Objective: To evaluate the correlation between different FFAs and all-cause and cardiovascular mortality in a large, diverse, nationally representative sample of adults in the US, and examine how different FFAs may mediate this association.

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Background: There is a growing burden of non-obese people with diabetes mellitus (DM). However, their cardiovascular risk (CV), especially in the presence of cardiovascular-kidney-metabolic (CKM) comorbidities is poorly characterised. The aim of this study was to analyse the risk of major CV adverse events in people with DM according to the presence of obesity and comorbidities (hypertension, chronic kidney disease, and dyslipidaemia).

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Background: China has undergone a significant socioeconomic transformation over the past few decades due to the implementation of family planning policies. These societal changes have resulted in an increased susceptibility among females to developing cardiometabolic diseases (CMD). Unfortunately, studies investigating the correlation between family planning policies in China and the incidence of CMD remain scarce.

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The development of sequencing technology has promoted discovery of variants in the human genome. Identifying functions of these variants is important for us to link genotype to phenotype, and to diagnose diseases. However, it usually requires researchers to visit multiple databases.

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Background: Acute myocardial infarction (AMI) complicated by cardiogenic shock (CS) carries a high mortality risk. Inflammation and nutrition are involved in the pathogenesis and prognosis of both AMI and CS. The advanced lung cancer inflammation index ratio (ALI) combines the inflammatory and nutritional status.

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Background: Ventricular functional mitral regurgitation (FMR) is a common morbidity in patients with heart failure (HF). In addition to guideline-directed medical therapy, mitral valve (MV) repair or replacement has become an option for such patients. However, the impact of different treatments on cardiac remodeling, function, and clinical outcomes remains unclear.

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