Predictors of coronary slow flow in stable coronary artery disease

Gomaa, Abdelaziz; Radwan, Hanan; Gad, Marwa

doi:10.1016/j.jicc.2017.05.001

Cited by 3 publications

(4 citation statements)

References 37 publications

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“…This aligns with Mahfouz et al’s findings [ 21 ] and suggests a potential role of blood viscosity in CSF. Patients with CSF exhibited higher PLR levels in our study, in line with Oylumlu et al [ 30 ], Çetin et al [ 31 ], and Gomaa et al [ 32 ]. This highlights the significance of inflammatory markers in predicting CSF.…”

Section: Discussionsupporting

confidence: 92%

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Predictors of non-obstructive coronary slow flow in poorly controlled type 2 diabetes mellitus: a cross-sectional study

Elsanan,

Tahoon,

Mohamed

et al. 2024

BMC Cardiovasc Disord

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Background Coronary slow flow (CSF) can occur due to various factors, such as inflammation, small vessel disease, endothelial dysfunction, and inadequate glucose control. However, the exact pathological mechanisms behind CSF remain incompletely understood. The objective of this study was to identify the risk factors associated with slow coronary flow in individuals with Type 2 Diabetes Mellitus (T2DM) who have non-obstructive coronary artery disease (CAD) and experience CSF. Methods We conducted a prospective cohort study involving 120 patients with T2DM who were referred for invasive coronary angiography due to typical chest pain or inconclusive results from non-invasive tests for myocardial ischemia. Using a 2 × 2 design, we categorized patients into groups based on their glycemic control (adequate or poor) and the presence of CSF (yes or no), defined by a TIMI frame count > 27. All patients had non-obstructive CAD, characterized by diameter stenosis of less than 40%. We identified many variables associated with CSF. Results Our investigation revealed no significant differences in age, sex, family history of coronary artery disease, ECG ischemia abnormalities, or echocardiographic (ECHO) data between the groups. In patients with adequate glycemic control, hypertension increased the risk of CSF by 5.33 times, smoking by 3.2 times, while dyslipidemia decreased the risk by 0.142. Additionally, hematocrit increased the risk by 2.3, and the platelet-to-lymphocyte ratio (PLR) increased the risk by 1.053. Among patients with poor glycemic control, hematocrit increased the risk by 2.63, and the Neutrophil-to-Lymphocyte Ratio (NLR) by 24.6. Notably, NLR was positively correlated with glycemic control parameters in T2DM patients with CSF. Conclusions In T2DM patients with CSF, various factors strongly correlate with glycemic control parameters and can be employed to predict the likelihood of CSF. These factors encompass hypertension, smoking, increased body mass index (BMI), elevated platelet count, hematocrit, NLR, PLR, and C-reactive protein (CRP). Trial registration Registry: ZU-IRB (ZU-IRB#9419–3-4-2022), Registered on: 3 April 2022, Email: IRB_123@medicine.zu.edu.eg.

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Section: Discussionsupporting

confidence: 92%

“…Patients with CSF exhibited higher PLR levels in our study, in line with Oylumlu et al [ 30 ], Çetin et al [ 31 ], and Gomaa et al [ 32 ]. This highlights the significance of inflammatory markers in predicting CSF.…”

Section: Discussionsupporting

confidence: 92%

Predictors of non-obstructive coronary slow flow in poorly controlled type 2 diabetes mellitus: a cross-sectional study

Elsanan,

Tahoon,

Mohamed

et al. 2024

BMC Cardiovasc Disord

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“…Previously, Hawkins et al found that male sex and obesity were independent predictors of CSF phenomenon (7). Gomaa et al reported that CSF was common in smokers and diabetic patients (8). In other study, Yilmaz et al (14) represented the clinical and laboratory features of CSF compared to the control subjects without CSF.…”

Section: Discussionmentioning

confidence: 98%

“…Many studies found that CSF is associated with male sex, obesity (7), and smoking (8). However, CSF is a clinical condition seen in women and no studies have been conducted on this subject.…”

Section: Introductionmentioning

confidence: 99%

Clinical Predictors of Coronary Slow Flow in Female Patients

Serçelik¹,

Besnili²,

Karben³

2019

Kocaeli Med J

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GİRİŞ ve AMAÇ: Önceden, koroner yavaş akışın (KYA) erkek cinsiyet, yüksek BMI ve sigara kullanımı ile ilgili olduğu bildirilmişti. Ancak KYA, kadınlarda da görülen bir klinik durumdur ve bu konuda herhangi bir çalışma yapılmamıştır. Bu çalışmada kadın hastalarda KYA 'nın belirleyicilerini araştırmayı amaçladık. 40'ı normal (ortalama yaş: 51.9 ± 5.2 yıl) ve 40 'I KYA (ortalama yaş: 54.6 ± 7.7 yıl) toplam 80 kadın hasta seçildi. TIMI frame sayıları hesaplandı ve demografik özellikler, komorbiditeler ve ilaç kullanımı ile ilgili veriler toplandı. CSF, frame sayısı> 27 olarak tanımlandı. BULGULAR: KYA grubunda diyabetes mellitus (DM) yüzdesi anlamlı olarak yüksekti (% 52.5'e karşılık% 22.5; p: 0.005). DM, çok değişkenli lojistik regresyon analizinde KYA 'lı kadın hastaların anlamlı belirleyicisi olarak bulundu (O.R: 3.44,% 95 CI: 1.14-10.36; p: 0.028). TARTIŞMA ve SONUÇ: KYA 'lı kadın hastalarda DM'nin anlamlı derecede arttığını ve çok değişkenli analizde KYA 'nın bağımsız belirleyicisi olduğunu bulduk. Anahtar Kelimeler: kadın hastalar, koroner yavaş akım, klinik belirleyiciler ABSTRACT INTRODUCTION: Previously, the coronary slow flow (CSF) has been reported to be related to male sex, high BMI, and smoking. However, CSF is a clinical condition seen in women and no studies have been conducted on this subject. We aimed to investigate predictors of coronary slow flow in female patients. YÖNTEM ve GEREÇLER: METHODS:A total of 80 female patients, 40 of whom were normal (mean age: 51.9±5.2 years) and 40 with coronary slow flow(mean age: 54.6 ±7.7 years) were selected. TIMI frame counts were calculated, and data on demographics, comorbidities, and medication use were collected. CSF was defined as frame count >27. RESULTS:Percentage of diabetes mellitus (DM) was significantly higher in the CSF group ( 52.5 % vs. 22.5 %; p: 0.005). DM was found to be significant predictor of female patients with CSF in the multivariate logistic regression analysis (O.R: 3.44, p: 0.028). DISCUSSION and CONCLUSION:We found that DM was significantly increased and only independent predictor of CSF in female patients with CSF. K Ka ad dı ın n H Ha as st ta al la ar rd da a K Ko or ro on ne er r Y Ya av va aş ş AAk kı ım mı ın n K Kl li in ni ik k B Be el li ir rl le ey yi ic ci il le er ri i C Cl li in ni ic ca al l P Pr re ed di ic ct to or rs s o of f C Co or ro on na ar ry y S Sl lo ow w F Fl lo ow w i in n F Fe em ma al le e P Pa at ti ie en nt ts s

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