ArticleFrontiers in cardiovascular medicine2022
Stress hyperglycemia ratio and neutrophil to lymphocyte ratio are reliable predictors of new-onset atrial fibrillation in patients with acute myocardial infarction.
Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.
- Relationship between stress hyperglycaemic ratio (SHR) and critical illness: a systematic review.Cardiovascular diabetology · 2025Pooled it
- The C-reactive protein-triglyceride-glucose index predicts new-onset atrial fibrillation after ST-segment elevation myocardial infarction.Frontiers in cardiovascular medicine · 2026Article
- The role of stress hyperglycemia in in-hospital new-onset atrial fibrillation among patients with acute myocardial infarction: a narrative review.Frontiers in cardiovascular medicine · 2026Review
- Association between stress hyperglycemia ratio and all-cause mortality in critically ill patients with mitral valve disease.Scientific reports · 2025Article
- Hematological parameters in atrial fibrillation: A literature review.World journal of cardiology · 2025Review
- Joint association of the triglyceride-glucose index and stress hyperglycemia ratio with incidence and mortality risks of new-onset atrial fibrillation during sepsis: a retrospective cohort study.Cardiovascular diabetology · 2025Article
- Associations Between Albumin/Neutrophil-to-Lymphocyte Ratio Score and New-Onset Atrial Fibrillation in Patients with Acute Myocardial Infarction Undergoing PCI.Journal of inflammation research · 2025Article
- The HALP Index Is Associated with the Recurrence of Persistent Atrial Fibrillation Following Radiofrequency Catheter Ablation.Journal of inflammation research · 2025Article
- Article
- The interaction between neutrophils and atrial myocytes in the occurrence and development of atrial fibrillation.BMC cardiovascular disorders · 2024Article
- Association between inflammation markers and all-cause mortality in critical ill patients with atrial fibrillation: Analysis of the Multi-Parameter Intelligent Monitoring in Intensive Care (MIMIC-IV) database.International journal of cardiology. Heart & vasculature · 2024Article
- Association between the Albumin-to-Globulin Ratio and Atrial Fibrillation in Patients with Hypertrophic Cardiomyopathy.Reviews in cardiovascular medicine · 2024Article
- Association between stress hyperglycemia ratio and all-cause mortality in critically ill patients with atrial fibrillation: insights from a MIMIC-IV study.Frontiers in endocrinology · 2024Article
- Elevated Neutrophil-to-Lymphocyte Ratio Is Associated with Severe Asthma Exacerbation in Children.Journal of clinical medicine · 2023Article
- A Predictive Model of New-Onset Atrial Fibrillation After Percutaneous Coronary Intervention in Acute Myocardial Infarction Based on the Lymphocyte to C-Reactive Protein Ratio.Journal of inflammation research · 2023Article
- Elevated stress hyperglycemia and the presence of intracranial artery stenosis increase the risk of recurrent stroke.Frontiers in endocrinology · 2022Observational
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The occurrence of new-onset atrial fibrillation (NOAF) post-acute myocardial infarction (AMI) is associated with worse outcomes. In this study, we sought to assess the predictive effect of stress hyperglycemia ratio (SHR) and neutrophil to lymphocyte ratio (NLR) to predict NOAF in patients with AMI. Materials and methods: We recruited 3,194 individuals with AMI but free of atrial fibrillation (AF). AMI cases were stratified into groups according to SHR and NLR quartiles and were further categorized based on diabetes status. High SHR and high NLR were defined as the highest quartile of SHR and NLR. A nomogram incorporating risk factors for NOAF was constructed using multivariate logistic regression analyses. The performance of the novel nomogram was tested for predictive performance, agreement between the actual and predicted probability, and clinical utility using area under the curve (AUC), bootstrapped calibration curves, and decision curve analysis, respectively. Result: A total of 245 (7.67%) patients developed NOAF post-AMI. The NOAF cases had higher values of SHR and NLR than non-NOAF patients after AMI regardless of diabetes status. After adjusting for potential confounders, high SHR and NLR were independently associated with NOAF post-AMI. Moreover, the novel nomogram incorporating high NLR and high SHR for NOAF risk estimation in patients with AMI showed satisfactory performance assessed by the AUC, calibration curves, decision curve analysis. Conclusion: SHR and NLR were independently associated with NOAF in AMI patients. The constructed novel nomogram that incorporates SHR and NLR might assist in NOAF risk stratification post-AMI.
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