ArticleBMC cardiovascular disorders2023
Relationship between inflammatory markers and coronary slow flow in type 2 diabetic patients.
Article in BMC cardiovascular disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 9 citations in OpenAlex.
- The Association of Atherogenic Indices with Coronary Slow Flow: Evidence from a Large Cohort Study.Diagnostics (Basel, Switzerland) · 2026Article
- Coronary slow flow phenomenon: a meta-analysis of clinical risk predictors.Frontiers in cardiovascular medicine · 2026Review
- The relationship between neutrophil percentage-to-albumin ratio and slow and normal coronary flow phenomenon.BMC cardiovascular disorders · 2025Article
- Coronary Slow-Flow Syndrome: A Review on Natural History of Disease and Best Practices.Research in heart yield and translational medicine · 2025Review
- Association between inflammatory burden index and coronary slow flow phenomenon in patients with chest pain and no obstructive coronary arteries.BMC cardiovascular disorders · 2024Article
- The predictors of coronary slow flow in patients undergoing coronary angiography.The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology · 2024Article
- Single Nucleotide Polymorphisms in Coronary Microvascular Dysfunction.Journal of the American Heart Association · 2024Review
- Predictors of non-obstructive coronary slow flow in poorly controlled type 2 diabetes mellitus: a cross-sectional study.BMC cardiovascular disorders · 2024Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDiabetes is a serious and quickly expanding global health problem. Cardiovascular disease is the leading cause of mortality in type 2 diabetes mellitus (T2DM) patients. Coronary slow flow (CSF) is characterised by delayed distal perfusion during coronary angiography with normal coronary arteries. This study aimed to investigate the correlation between CSF and inflammatory markers regarding glycemic status in T2DM.
methodsThis cross-sectional study included 120 patients who were divided equally into 4 groups according to their glycemic control and presence or absence of coronary slow flow: Group I included patients with T2DM with good glycemic control without CSF; Group II included patients with T2DM with good glycemic control and CSF; Group III included patients with T2DM with poor glycemic control without CSF; and Group IV included patients with T2DM with poor glycemic control and CSF. The neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), C-reactive protein (CRP), platelets, hematocrit, and haemoglobin were also evaluated as risk factors for coronary slow flow.
resultsThis study showed that body mass index (BMI), hematocrit level, NLR, and CRP demonstrated a moderate but significant correlation (r = 0.53) with CSF in poorly controlled T2DM. NLR cutoff > 2.1 could predict CSF in poorly controlled T2DM with a modest sensitivity and specificity. A 1.9 increase in HbA1c increases the likelihood of coronary slow flow. Dylipidemia increases the likelihood of coronary slow flow by 0.18 times. Other predictors for coronary slow flow include NLR, PLR, CRP, platelets, hematocrit, and hemoglobin. The effect of the predictors is still statistically significant after being adjusted for glycemic status, age, and sex (p < 0.001).
conclusionsPoor glycemic control increases the incidence of CSF. This supports the hypothesis that CSF is related to endothelial dysfunction as poor glycemic control causes endothelial dysfunction due to inflammation.
trial registrationZU-IRB#9419-3-4-2022 Registered 3 April 2022, email. IRB_123@medicine.zu.edu.eg .
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