scholarly journals Plasma atherogenic indices are independent predictors of slow coronary flow

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Abdulmecit Afsin ◽  
Hakan Kaya ◽  
Arif Suner ◽  
Kader Eliz Uzel ◽  
Nurbanu Bursa ◽  
...  
Keyword(s):  
Coronary Flow ◽  
Atherogenic Index ◽  
Atherogenic Dyslipidemia ◽  
Characteristic Analysis ◽  
Atherogenic Index Of Plasma ◽  
Timi Frame Count ◽  
Risk Indices ◽  
Atherogenic Indices ◽  
Lipid Parameters

Abstract Background Although the pathophysiology of coronary slow flow (CSF) has not been fully elucidated, emerging data increasingly support potential role for subclinical diffuse atherosclerosis in the etiology of CSF. We aimed to investigate relationship between atherogenic indices and CSF. Methods 130 patients with CSF diagnosed according to Thrombolysis in Myocardial Infarction (TIMI)-frame count (TFC) method and 130 controls who had normal coronary flow (NCF) were included in this retrospective study. Atherogenic indices (atherogenic index of plasma [AIP], Castelli risk indices I and II [CRI-I and II]) were calculated using conventional lipid parameters. Results The logistic regression analyses demonstrated that AIP (OR, 5.463; 95% confidence interval [CI], 1.357–21.991; p = 0.017) and CRI-II (OR, 1.624; 95% CI, 1.138–2.319; p = 0.008) were independent predictors of CSF. Receiver operating characteristic analysis showed that the optimal cutoff value to predict the occurrence of CSF was 0.66 for AIP (sensitivity, 59%; specificity, 73%; area under curve [AUC], 0.695; p < 0.001) and 3.27 for CRI-II (sensitivity, 60%; specificity, 79%; AUC, 0.726; p < 0.001). Conclusions AIP and CRI-II levels were independent predictors of CSF. Prospective studies in larger cohorts of patients may elucidate the role of atherogenic dyslipidemia in the pathophysiology of CSF.

scholarly journals Plasma Atherogenic Indexes Are Independent Predictors of Slow Coronary Flow

2021 ◽  
Author(s):  
Abdulmecit Afsin ◽  
Hakan Kaya ◽  
Fethi Yavuz ◽  
Kader Eliz Uzel ◽  
Nurbanu Bursa ◽  
...  
Keyword(s):  
Coronary Flow ◽  
Atherogenic Index ◽  
Atherogenic Dyslipidemia ◽  
Characteristic Analysis ◽  
Atherogenic Index Of Plasma ◽  
Timi Frame Count ◽  
Risk Indices ◽  
Atherogenic Indices ◽  
Coronary Slow Flow ◽  
Lipid Parameters

Abstract Background Although the pathophysiology of coronary slow flow (CSF) has not been fully elucidated, emerging data increasingly support potential role for subclinical diffuse atherosclerosis in the etiology of CSF. We aimed to investigate relationship between atherogenic indices and CSF. Methods 130 patients with CSF diagnosed according to Thrombolysis in Myocardial Infarction (TIMI)-frame count (TFC) method and 130 controls who had normal coronary flow (NCF) were included in this retrospective study. Atherogenic indices (atherogenic index of plasma [AIP], Castelli risk indices I and II [CRI-I and II]) were calculated using conventional lipid parameters Results The logistic regression analyses demonstrated that AIP (OR, 5.463; 95% confidence interval [CI], 1.357–21.991; p = 0.017) and CRI-II (OR, 1.624; 95% CI, 1.138–2.319; p = 0.008) were independent predictors of CSF. Receiver operating characteristic analysis showed that the optimal cutoff value to predict the occurrence of CSF was 0.66 for AIP (sensitivity, 59%; specificity, 73%; area under curve [AUC], 0.695; p < 0.001) and 3.27 for CRI-II (sensitivity, 60%; specificity, 79%; AUC, 0.726; p < 0.001). Conclusions AIP and CRI-II levels were independent predictors of CSF, suggesting that atherogenic dyslipidemia may contribute to the pathophysiology of CSF.

scholarly journals Correlation of T3, T4 and TSH with lipid indices in obesity

2021 ◽  
Vol 9 (7) ◽  
pp. 2078
Author(s):  
V. Aruna
Keyword(s):  
South India ◽  
Risk Index ◽  
Venous Blood ◽  
Atherogenic Index ◽  
Abdominal Circumference ◽  
P Value ◽  
Atherogenic Index Of Plasma ◽  
Lipid Ratios ◽  
Thyroid Profile ◽  
Lipid Parameters

Background: Aim was to study the influence of Thyroid hormones on lipid indices in obese individuals. Thyroid dysfunction is a common occurence in South India. Increased accumulation of fats is a common feature of obesity and hypothyroidism.Methods: The study was undertaken at GGH, Guntur and 150 Obese individuals with BMI of >30 were recruited. They are classified into 3 groups based on thyroid profile - Euthyroid (N=77), hypothyroid (N=45)and hyperthyroid (N=28). Their fasting venous blood samples were analysed for thyroid profile, lipid profile, FBS and creatinine. Anthropometric data like height, weight and abdominal circumference was recorded. Lipid indices, atherogenic index of plasma (AIP), Castelli’s Risk Index (CRI) 1 and 2, small dense LDL (sdLDL), Atherogenic coefficient (AC) and BMI were calculated.Results: All the 3 groups showed female preponderance. In hypothyroid cases TSH, T3 and T4 showed significant correlation with lipid parameters (p value<0.0001) and with lipid ratios TSH and T4 significantly elevated (p value <0.00001). There was significant correlation of TSH with TC, TG and LDL between hypothyroid, hyperthyroid and euthyroid cases(p<0.0001). Spearman’s Rho correlation analysis showed negative correlation of Lipid ratios with T3, T4 and TSH in all 3 groups.(r≤1.0). Whereas multiple regression analysis of lipid ratios in all 3 groups with TSH as dependent variable demonstrated positive relation with sdLDL (p<0.01).Conclusions: Assessment of thyroid function is mandatory in all obese individuals to predict complications especially cardiovascular disease.

SO011OXALATE-DEGRADING ACTIVITY IN FECAL MICROBIOTA ASSOCIATED WITH BLOOD LIPID PROFILE IN DIALYSIS PATIENTS

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Natalia Stepanova ◽  
Ganna Tolstanova ◽  
Iryna Akulenko ◽  
Olena Savchenko ◽  
Larysa Lebid ◽  
...  
Keyword(s):  
Lipid Profile ◽  
Blood Lipid ◽  
Fecal Microbiota ◽  
Lipid Profiles ◽  
Atherogenic Index ◽  
Atherogenic Dyslipidemia ◽  
Dialysis Patients ◽  
Blood Lipid Profile ◽  
Esrd Patients

Abstract Background and Aims Cardiovascular disease (CVD) remains the leading cause of morbidity and death in end-stage renal disease (ESRD) patients. Thus, the accumulation of oxalate due to ESRD can increase the risk of CVD. Also, the ability of fecal oxalate-degrading activity (ODA) to reduce plasma oxalate levels has been discussed. On the other hand, despite a key role of atherogenic dyslipidemia in the development of CVD, only a few studies have shown a potential role of microbiota in the regulation of blood lipid profiles in the general population. However, at present, there is a general lack of research on this topic in dialysis patients.   The present study aimed to investigate the association between oxalate-degrading activity (ODA) in fecal microbiota and blood lipid profiles in ESRD patients. Method We represented the data of a cross-sectional pilot study examining ODA in fecal microbiota, plasma oxalate concentration (POx) and blood lipid profile markers in 32 ESRD patients. Among the patients, there were 21 hemodialysis (HD) patients and 11 peritoneal dialysis (PD) patients. The average age of the patients was 52.5 [39; 65] years. The redoximetric titration with KMnO4 was adopted to evaluate total ODA in fecal microbiota. The results were expressed in % oxalate degradation per 0.01 g of feces. The blood lipid spectrum was determined in all patients: total cholesterol level (TC), high (HDL), low (LDL) and very low (VLDL) density cholesterol, triglycerides (TG) and atherogenic index of plasma (AIP). The median (Me) and interquartile ranges [Q25; Q75] were calculated using the nonparametric Kruskal-Wallis test. The Spearman test was used for the correlation analysis. Chi-square tests were used for comparison of 2 proportions. All statistical analyses were performed using MedCalc. Results Dyslipidemia defined as an increase in atherogenic lipoprotein fractions and inhibition of HDL cholesterol was identified in 13/32 (40.6%) ESRD patients. Negative ODA in fecal microbiota (≤ 0 % /0.01 g) was observed in 14/32 (43.7%) patients. Among them, there were 5/21 (23.8%) HD patients and 7/11 (63.6%) PD patients (χ2=3.9, p=0.04). Significantly lower ODA in fecal microbiota was observed in the patients with atherogenic dyslipidemia in comparison with dyslipidemia-free patients (-5.0 [-8.7; 3.7] vs 3.0 [0.5; 9] %/0.01 g of feces, p=0.02) (Fig. 1). Less ODA in fecal microbiota was, higher levels of TG (r=-0.5, p=0.004) (Fig. 2), VLDL (r=-0.34, p=0.05) (Fig. 3) and, accordingly, AIP (r=-0.38, p=0.03) (Fig. 4) occurred. Conclusion The results of our study have provided preliminary evidence on the fact that a decrease in total ODA in fecal microbiota is associated with atherogenic dyslipidemia. Further studies are needed to determine the role of fecal ODA in the formation of dyslipidemia.

scholarly journals Evaluation of lipid parameters and bioindices in patients with different stages of chronic renal failure

2012 ◽  
Vol 69 (11) ◽  
pp. 961-966 ◽  
Author(s):  
Velibor Cabarkapa ◽  
Mirjana Djeric ◽  
Zoran Stosic ◽  
Vladimir Sakac ◽  
Zagorka Lozanov-Crvenkovic ◽  
...  
Keyword(s):  
Renal Failure ◽  
Chronic Renal Failure ◽  
Atherogenic Index ◽  
Good Separation ◽  
Apo B ◽  
Atherogenic Index Of Plasma ◽  
Cardiovascular Morbidity And Mortality ◽  
Suitable Marker ◽  
Lipid Parameters ◽  
Apo Ai

Background/Aim. Cardiovascular morbidity and mortality are markedly increased in chronic renal failure (CRF). The aim of this study was to evaluate lipid parameters and bioindices in patients with different stages of CRF. Methods. In 46 hemodialysed (HD), 50 CRF patients with II, III and IV stage of CRF (non-HD) and 48 control subjects triglycerides (TG), total cholesterol (C), HDL-C, urea, creatinine, creatinuria (standard biochemical methods), apolipoprotein (apo) AI, apo B, lipoprotein(a), cystatin C (immunoturbidimetric method) were evaluated, and LDL-C, non-HDL-C, LDLC/ HDL-C, non-HDL-/HDL-C, TG/HDL-C, and new bioindices, LTI (lipid tetrad index), logLTI, LPI (lipid pentad index), logLPI, AIP (atherogenic index of plasma), and creatinine clearance were calculated. Results. There were significant differences in the levels of TG, HDL-C, LDL-C, non- HDL-C, total C and apo A-I between the HD and non-HD patients, and the HD patients and the controls. LTI and LPI were significantly higher in the HD and non-HD patients compared to the controls (p < 0.05), without a good separation by the Box-Whisker plots. The values of TG/HDL-C ratio and AIP were significantly higher in the HD and non- HD-patients compared to the controls (p < 0.05), and significantly higher in the HD compared to non-HD patients (p < 0.05). AIP > 0.11 was found in 71.7% of the HD, 56% of non-HD and 31.3% of the controls. Conclusion. Among lipid parameters and indices, AIP and TG/HDL-C ratio are most suitable for evaluation of lipid disturbances in different stages of CRF. In addition to, non-HDL-/HDL-C, and apoB/A-I ratios, apo A-I, HDL-C and TG are important markers in HD patients. Non-HDL-C is not a suitable marker. LTI and LPI need to be further investigated.

The Role of Adrenergic Activity in Slow Coronary Flow and Its Relationship to TIMI Frame Count

Angiology ◽  
2007 ◽  
Vol 58 (4) ◽  
pp. 393-400 ◽  
Author(s):  
Mustafa Yazici ◽  
Sabri Demircan ◽  
Kenan Durna ◽  
Mahmut Sahin
Keyword(s):  
Coronary Flow ◽  
Slow Coronary Flow ◽  
Timi Frame Count ◽  
Adrenergic Activity

scholarly journals Correlation of Lipid Parameters and Markers of Insulin Resistance: Does Smoking Make a Difference?

2014 ◽  
pp. S387-S393 ◽  
Author(s):  
Ľ. CIBIČKOVÁ ◽  
D. KARÁSEK ◽  
K. LANGOVÁ ◽  
H. VAVERKOVÁ ◽  
J. ORSÁG ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Waist Circumference ◽  
Lipid Profile ◽  
Correlation Coefficients ◽  
Cross Sectional Study ◽  
Atherogenic Index ◽  
Cross Sectional ◽  
Atherogenic Index Of Plasma ◽  
Fasting Glycemia ◽  
Lipid Parameters

Insulin resistance associated with dyslipidemia enhances cardiovascular risk. Several atherogenic indexes have been suggested to give more precise information about the risk. The aim of our study was to estimate, which atherogenic index correlates better with parameters of insulin resistance. Furthermore, we compared the parameters of lipid metabolism and insulin resistance between smokers and non-smokers. In our cross-sectional study we enrolled 729 patients with dyslipidemia which were divided into two groups – non-smokers (586) and smokers (143). We measured lipid profile, parameters of insulin resistance (fasting glycemia, insulin, HOMA-IR, C-peptide, proinsulin) and calculated atherogenic indexes – atherogenic index of plasma (log (TAG/HDL-C), AIP), ApoB/ApoA1 index and nonHDL-C. AIP was found out to show stronger correlations with parameters of insulin resistance (p<0.001, correlation coefficients ranging between 0.457 and 0.243) than other indexes (ApoB/ApoA1 or nonHDL cholesterol). AIP correlated with parameters of insulin resistance both in smokers and non-smokers, but after adjustment (for age, body mass index, waist circumference) persisting only in non-smokers. Smokers had a wider waist circumference and a proatherogenic lipid profile. Smoking increases the risk of developing metabolic syndrome. AIP can be used in daily praxis for predicting insulin resistance in patients with dyslipidemia, predominantly in non-smokers.

scholarly journals Alterations in plasma lipid profile and cardiovascular risk indicators in clinically sub-grouped psoriasis

2019 ◽  
Vol 5 (2) ◽  
pp. 295 ◽  
Author(s):  
S. Srinivas ◽  
S. Nagendra ◽  
Prashanthkumar Goudappala ◽  
R. T. Kashinath
Keyword(s):  
Cardiovascular Risk ◽  
Lipid Profile ◽  
Plasma Lipid ◽  
Cardiovascular Complications ◽  
Risk Indicators ◽  
Atherogenic Index ◽  
Plasma Lipid Profile ◽  
Atherogenic Index Of Plasma ◽  
Pasi Score ◽  
Lipid Parameters

<p class="abstract"><strong>Background:</strong> Psoriasis, a chronic skin complication been considered in the recent years by dermatologists as a systemic disease with multi organ abnormalities. Dyslipidemia commonly observed in psoriasis patients may result in cardiovascular complications hence a prompt routine cardiovascular risk evaluation is essential in these patients. A study was designed to assess plasma lipid profile as well as cardiovascular risk markers in psoriasis patients to find out the relationship between cardiovascular risk indicators and psoriasis disease severity.</p><p class="abstract"><strong>Methods:</strong> Study consists of 200 subjects including 100 psoriatics. These psoriatics were sub-grouped based on their increasing PASI score into four groups.<strong></strong></p><p class="abstract"><strong>Results:</strong> The results indicate a significant elevation in lipid parameters and in cadiac risk ratio, atherogenic index of plasma as well as atherogenic coefficient in psoriatics as compared to normal controls. Further a parallel raise has seen in these lipid parameters and risk indicators based on their increasing PASI score.</p><p class="abstract"><strong>Conclusions:</strong> It can be stated from the study results that psoriatics are more affected group for cardiovascular complications and a proper evaluation of cardiovascular risk indicators in these patients is essential in preventing development of cardiovascular risk. Further the risk indicators atherogenic index of plasma and atherogenic coefficient are more promising in evaluating cardiovascular risk in psoriases patients.</p>

scholarly journals Correlation of Serum Cystatin C with Atherogenic indices in obese individuals

2015 ◽  
Vol 3 (02) ◽  
Author(s):  
K Deepa ◽  
Sudhir . ◽  
Shubha Jayaram ◽  
S Meera ◽  
M H Rahul
Keyword(s):  
Cardiovascular Disease ◽  
Cystatin C ◽  
Risk Index ◽  
Serum Levels ◽  
Atherogenic Index ◽  
Serum Cystatin C ◽  
Serum Cystatin ◽  
Atherogenic Index Of Plasma ◽  
Atherogenic Indices ◽  
Study Population

Introduction: Human obesity is strongly associated with cardiovascular disease. Cystatin C is a naturally occurring protease inhibitor and marker of cardiovascular disease. The atherogenic indices are used as an index for cardiac risk stratification. Objectives: To estimate the serum levels of Cystatin C in individuals with normal BMI, and obese, aged between 20-39 Yrs and to compare the levels of Cystatin C among these individuals and to correlate the levels of serum Cystatin C with atherogenic index of plasma and other indices. Methodology: The study population was taken from healthy volunteers of Mysore city, aged between 20-39 years of either sex. The study population was divided into 2 groups based on BMI. Each group contains sample size of 60. Fasting serum sample was analyzed for Total Cholesterol, TG, LDL-Cholesterol and HDL cholesterol by enzymatic method and serum Cystatin-C by immune-turbidimetric method using auto-analyser. Statistical Analysis: Analysis of Variance [ANOVA] was used to compare the serum levels of Cystatin C in the two groups. To correlate the serum Cystatin C with atherogenic indices for predicting the cardiovascular risk factors, Pearson’s correlation co-efficient was worked out. Results: The mean serum cystatin C levels in normal BMI group are 0.7±0.03 mg/L, and in Obese group 1.15±0.09 mg/(p value less than 0.001).In the study serum Cystatin C showed a positive correlation with serum triglycerides (r=0.7), Atherogenic index of plasma(AIP ) (r=0.80), TCHOL: HDL (Castelli’s Risk Index I) (r=0.71), HDL: LDL(Castelli’s Risk Index II) (r=0.70) respectively and Atherogenic coefficient (AC) {(NonHDLc)/HDLc}( r=0.60) and negative correlation with serum HDL(r=-0.52) Conclusion: Several indices had been derived from lipid profiles to establish an index for predicting the risk of having coronary event. The atherogenic index of plasma was strongly correlated with the Cystatin C, hence AIP can be used as better index for predicting the preclinical cardiovascular disease because of cost effectiveness in estimation of Cystatin C.

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