Key result
Elevated fasting blood glucose to HDL-cholesterol ratio (OR 8.773) and monocyte to HDL-cholesterol ratio (OR 1.320) were independent predictors of coronary slow flow in non-diabetic patients.
Why the study?
The relationship between coronary slow flow, the fasting blood glucose/HDL-C ratio, and the monocyte/HDL-C ratio in non-diabetic patients remained to be evaluated.
Do elevated fasting blood glucose/HDL-cholesterol ratio (GHR) and monocyte/HDL-cholesterol ratio (MHR) predict coronary slow flow in non-diabetic patients?
Observational (n=237)
No
Do elevated fasting blood glucose/HDL-cholesterol ratio (GHR) and monocyte/HDL-cholesterol ratio (MHR) predict coronary slow flow in non-diabetic patients?
Odds Ratio: 8.773 (95% CI 3.906–19.704)
p-value: p=<0.001
Elevated GHR and MHR are strong independent predictors of coronary slow flow in non-diabetic patients, supporting the roles of hyperglycemia and inflammation in its pathogenesis.
CSF associations in non-diabetics remain hypothesis-generating; prospective studies needed before any clinical consideration.
Aim: This study aimed to evaluate the relationship between coronary slow flow (CSF) with fasting blood glucose/high-density lipoprotein cholesterol ratio (GHR) and monocyte/high-density lipoprotein cholesterol ratio (MHR) in patients without overt diabetes and to reveal the effects of hyperglycemia and inflammation on CSF development. Material and Methods: In this retrospective study, a total of 237 patients who underwent coronary angiography were enrolled and divided into two groups according to CSF presence. 109 of them had CSF and 128 of them had normal coronary flow (CNF). The thrombolysis in myocardial infarction (TIMI) frame count (TFC) was calculated for each coronary artery and the values above the normal range was defined as CSF. Results: GHR and MHR were significantly higher in CSF patients compared to those without (p<0.001, p<0.001). In correlation analysis, total TFC showed a statistically significant relation with these markers (for both r=0.745, p<0.001). In multivariate logistic regression analysis, GHR and MHR were independent predictors for CSF presence (p<0.001, p<0.001). The receiver operating characteristic (ROC) curve analysis showed the best cut off values of GHR and MHR as 2.105 and as 12.93, respectively (AUC=0.861, p<0.001; AUC=0.849, p<0.001). Conclusion: In this study, there was a strong relationship between CSF with GHR and MHR. In addition, elevated values of GHR and MHR supported the roles of hyperglycemia and inflammation in CSF etiopathogenesis.
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Şanlıalp et al. (2021) conducted an observational in Coronary slow flow in non-diabetic patients (n=237). Fasting blood glucose to HDL-cholesterol ratio (GHR) vs. Lower GHR was evaluated on Presence of coronary slow flow (CSF) (OR 8.773, 95% CI 3.906-19.704, p=<0.001). Elevated fasting blood glucose to HDL-cholesterol ratio (OR 8.773) and monocyte to HDL-cholesterol ratio (OR 1.320) were independent predictors of coronary slow flow in non-diabetic patients.
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