PP mediated the relationship between METS-IR and AIS in non-diabetic patients
Li, Z.; Jia, R.; Chen, D.; Wang, H.; Zhang, Y.
Show abstract
BackgroundThe correlation between metabolic score for insulin resistance (METS-IR) and high insulin normal glucose clamp test is stronger than other non-insulin-based insulin resistance scores. Insulin resistance was related to the occurrence and development of hypertension and stroke, however, the association between METS-IR and hypertension, as well as ischemic stroke is lack of evidence. This study aimed to determine the association between METS-IR and acute ischemic stroke in non-diabetic patients, and the mediating role of blood pressure parameters on it. MethodsThis hospital-based study included 557 non-diabetic subjects diagnosed with premature acute ischemic stroke. Logistic regression models and mediation analyses were conducted to assess the role of blood pressure parameters (systolic blood pressure, diastolic blood pressure, pulse pressure and mean arterial pressure) in the associations between METS-IR and risk of acute ischemic stroke. ResultsAfter adjusting for potential covariates, each SD increment of METS-IR was associated with 26% higher odds (OR = 1.26, 95% CI: 1.06-1.52) increment in ORs of acute ischemic stroke. The OR for acute ischemic stroke in patients with highest quartile of METS-IR was 1.73 hold (OR = 1.73, 95% CI: 1.12-2.70) higher than that in those with the lowest quartile of METS-IR. Furthermore, mediation analyses indicated that pulse pressure partially mediate the detrimental effect of insulin resistance (assessed by the METS-IR) on acute ischemic stroke (mediation percentage: 11.70%). ConclusionsOur study suggests a relationship between METS-IR and acute ischemic stroke, and the association of METS-IR with acute ischemic stroke was partially mediated by pulse pressure.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Association of free fatty acids with long-term adverse outcomes in patients with premature myocardial infarction: a prospective cohort study 95%
- Predictors of survival in patients with ischemic stroke and active cancer: A prospective, multicenter, observational study 94%
- Age-stratified Prevalence and Relative Prognostic Significance of Traditional Atherosclerotic Risk Factors: A Report from the Nationwide Registry of Percutaneous Coronary Interventions in Japan 94%
Similar papers in this journal
- Association of METS-IR Index with Type 2 Diabetes: A Cross-sectional Analysis of National Health and Nutrition Examination Survey Data from 2009 to 2018 96%
- Relationship between epicardial and perivascular fatty tissue and adipokine-cytokine level in coronary artery disease patients 96%
- Association between kidney measurements and cognitive performance in patients with ischemic stroke 95%
Similar papers in this journal
- Nomogram-Based Prognostic Model to predict the High blood pressure in Children and Adolescents —— Finding from 342,736 individual in China 96%
- Molecular mechanisms of Cardiac Injury associated with myocardial SARS-CoV-2 infection 94%
- Predicting long-term prognosis after percutaneous coronary intervention in patients with acute coronary syndromes: a prospective nested case-control analysis for county-level health services 94%
Similar papers in this journal
- Associations between cardiovascular risk factors, stroke severity, and post-stroke cognition: a moderated mediation analysis 96%
- Short-term Functional Outcomes of Patients with acute intracerebral hemorrhage in the Native and Expatriate Population 93%
- High blood viscosity in acute ischemic stroke 93%
Similar papers in this journal
- Metformin Is Associated with Favorable Outcomes in Patients with COVID-19 and Type 2 Diabetes Mellitus 94%
- Rapid Clinical Screening and Staging for COVID-19 Severe Outcome A Hospitalization Study in New York City 93%
- Effects of different environmental intervention durations on the intestinal mucosal barrier and the brain-gut axis in rats with colorectal cancer 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.