Key result
Clinical and laboratory risk factors including BMI, total cholesterol, triglycerides, and Hs-CRP were strong independent predictors of coronary slow flow (all p<0.001).
Why the study?
The laboratory predictors, angiographic profile, clinical profile, and risk factors for coronary slow flow phenomenon without obstructive coronary lesions in patients undergoing coronary angiography needed to be analyzed.
What are the clinical and laboratory predictors of coronary slow flow phenomenon in patients undergoing coronary angiography without obstructive lesions?
Case-Control (n=200)
What are the clinical and laboratory predictors of coronary slow flow phenomenon in patients undergoing coronary angiography without obstructive lesions?
BMI, total cholesterol, triglycerides, and Hs-CRP are strong independent predictors of coronary slow flow phenomenon in patients without obstructive coronary lesions.
May aid risk stratification in women with suspected coronary slow flow; hypothesis-generating and should not yet change practice.
Aim This study aimed to analyze laboratory predictors, angiographic profile, clinical profile, and risk factors for coronary slow flow (CSF) phenomenon without coronary obstructive lesion in patients who came for a coronary angiogram. Materials and Methods The case-control study consisted of patients who underwent coronary angiography and were divided into two groups: patients with coronary slow flow (case group, n = 100) and patients with the normal coronary flow (control group, n = 100). Coronary flow was studied using corrected thrombolysis in myocardial infarction frame count (CTFC). The slow flow was defined as CTFC beyond 2 standard deviations from the normal published range. Risk factors including age, sex, diabetes mellitus (DM), hypertension, dyslipidemia, smoking, body mass index (BMI), hematological and biochemical parameters (complete blood picture, platelet count, total and differential leucocyte count, platelet-to-lymphocyte ratio [PLR], neutrophil-to-lymphocyte ratio [NLR] and lipid profile) were assessed. In both groups, clinical information was collected, and laboratory parameters were measured and compared. Results Patients with CSF were more likely to be male and active smokers. Total cholesterol, triglyceride, BMI, and DM were more commonly seen in the CSF group compared with the control group. Inflammatory markers like uric acid (p = 0.03) and high-sensitivity C-reactive protein (Hs-CRP) (p = 0.000) were found to be statistically significant. Hematocrit (p = 0.023), NLR (p = 0.001), total cholesterol (p = 0.000), triglycerides (p = 0.000), and BMI (p = 0.000) were statistically significant. PLR has the tendency of statistically significance (p = 0.059) BMI, total cholesterol, triglycerides, and Hs-CRP were strong predictors for CSF. Conclusion CSF was common in males, smokers, DM patients, and it was associated with high NLR, uric acid, and Hs-CRP levels. The independent predictor of CSF was BMI, total cholesterol, triglycerides, and Hs-CRP levels. These findings provide an impetus for additional studies to confirm the role of other inflammatory markers in CSF patients and treatment strategies depending on that.
No takes yet. Share an insight, caveat, or question.
V. et al. (2019) conducted a case-control in Coronary slow flow phenomenon (n=200). Clinical and laboratory risk factors (BMI, lipids, inflammatory markers) vs. Normal coronary flow was evaluated on Predictors of coronary slow flow. Clinical and laboratory risk factors including BMI, total cholesterol, triglycerides, and Hs-CRP were strong independent predictors of coronary slow flow (all p<0.001).
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: