The relationship between atherogenic index of plasma and no-reflow in patients with acute ST-segment elevation myocardial infarction who underwent primary percutaneous coronary intervention

Atherogenic index of plasma and the clinical outcome of patients with acute coronary syndrome: a meta-analysis

BACKGROUND

The atherogenic index of plasma (AIP) has been related to an increased risk of coronary artery disease. However, previous studies evaluating the prognostic role of AIP for acute coronary syndrome (ACS) showed inconsistent results. This meta-analysis was conducted to systematically evaluate the association between AIP and the risk of major cardiovascular adverse events (MACE) of patients with ACS.

MATERIALS AND METHODS

Relevant cohort studies were retrieved by searching electronic databases, including PubMed, Web of Science, and Embase. A random-effects model was used to combine the data by incorporating the influence of between-study heterogeneity.

RESULTS

Thirteen datasets from nine cohort studies, involving 10,861 patients with ACS were included in the meta-analysis. Of them, 1546 (14.2%) developed MACE during follow-up. Pooled results suggested that a high AIP at admission was associated with an increased risk of MACE during follow-up (risk ratio [RR]: 1.54, 95% confidence interval [CI]: 1.30-1.82, p < 0.001; I2 = 48%). Subgroup analyses suggested a stronger association between a high AIP and an increased risk of MACE in older patients (mean age ≥60 years, RR: 2.26, 95% CI: 1.78-2.87, p < 0.001; I2 = 0%) than the younger ones (mean age <60 years, RR: 1.30, 95% CI: 1.17-1.44, p < 0.001; I2 = 0%; p for subgroup difference <0.001), which fully explained the heterogeneity.

CONCLUSION

A high AIP is associated with an increased risk of MACE in patients with ACS, particularly for older patients.

Atherogenic index of plasma and coronary artery disease: a systematic review and meta-analysis of observational studies

BACKGROUND

Atherogenic index of plasma (AIP), a novel logarithmic index that combines fasting triglyceride and high-density lipoprotein cholesterol concentrations, is associated with the burden of atherosclerosis. This study aimed to evaluate the relationship between AIP and coronary artery disease (CAD) risk, severity, and prognosis in populations with and without established CAD.

METHODS

PubMed, Embase, and Web of Science were systematically searched from the inception of each database to August 13, 2024. Cross-sectional studies, case-control studies, and prospective or retrospective cohort studies using multivariate analysis were included. Given that the true effect size may differ across studies, a random-effects model for all analyses was applied.

RESULTS

Fifty-one observational studies were included in this study. Patients with higher AIP were more likely to have CAD (odds ratio (OR): 2.79, 95% CI 1.75-4.45, P < 0.00001). Furthermore, these patients were more likely to have coronary artery calcification (OR: 2.28, 95% CI 1.74-3.00, P < 0.00001), multivessel CAD (OR: 2.04, 95% CI 1.50-2.77, P < 0.00001), and an increased risk of plaque progression (OR: 1.49, 95% CI 1.17-1.91, P = 0.001). In populations without established CAD, higher AIP levels were associated with an increased risk of Major adverse cardiovascular events (MACE) (hazard ratio (HR): 1.28, 95% CI 1.22-1.35, P < 0.00001). Interestingly, this finding was consistent in patients presenting with acute coronary syndrome (HR: 1.59, 95% CI 1.33-1.89, P < 0.00001) and patients with chronic coronary syndrome or stable CAD (HR: 1.65, 95% CI 1.15-2.37, P = 0.007).

CONCLUSIONS

This meta-analysis demonstrates that elevated AIP is strongly associated with increased CAD risk, greater severity, and poorer prognosis in populations with and without established CAD. However, more studies are needed to evaluate the predictive performance and determine the optimal cut-off for AIP in different populations.

Association between triglyceride-glucose index and its correlation indexes and stress urinary incontinence in postmenopausal women: evidence from NHANES 2005-2018

BACKGROUND

Postmenopausal women are more susceptible to stress urinary incontinence (SUI), and insulin resistance (IR) is closely related to SUI. The triglyceride-glucose (TyG) index is an efficient metric for assessing IR. Investigating whether TyG index and its correlation indexes were correlated with SUI in postmenopausal women was the aim of this research.

METHODS

Data from 2,132 postmenopausal women from the National Health and Nutrition Examination Survey (NHANES) were included in the study for analysis. Weighted multiple logistic regression was used to evaluate the correlation between the TyG index and its correlation indexes and SUI. The nonlinear correlation between the TyG correlation indexes and SUI, as well as the diagnostic efficacy for SUI, was investigated using the smooth curve approach and receiver operating characteristics. Through detailed subgroup analysis, the stability and generalization of the results are confirmed.

RESULTS

Of the 26.87 million, 13.63 million, or 50.73%, suffered from SUI. The prevalence of SUI was significantly higher in the fourth quartile of TyG-BMI (OR = 1.93, 95% CI 1.13-2.84), TyG-WC (OR = 1.76, 95% CI 1.23-2.51), and TyG-WHtR (OR = 1.81, 95% CI 1.28-2.55) compared to the first quartile. Among the three models, TyG-WHtR always maintained a more significant correlation with SUI (Model 1:OR = 1.30;Model 2:OR = 1.33; Model 3:OR = 1.24). Smooth curve fitting results showed that TyG correlation indexes were not linearly correlated with SUI (P > 0.05). Subgroup analysis further confirmed the reliability and applicability of the results. TyG-BMI had the greatest diagnostic performance for SUI out of the four markers.

CONCLUSIONS

In comparison to TyG, TyG correlation indexes showed a more significant correlation with SUI among postmenopausal women in US, with TyG-BMI showing the best diagnostic effectiveness.

Association between the atherogenic index of plasma and early neurological deterioration in mechanical thrombectomy patients

BACKGROUND AND PURPOSE

Atherogenic index of plasma (AIP) is a newly identified as marker of lipid metabolism and glucose metabolism, showing significant predictive value in individuals with cardiovascular disease. This study aimed to explore the correlation between AIP and early neurological deterioration (END) in ischemic stroke patients after mechanical thrombectomy (MT).

METHODS

Patients with anterior circulation large artery occlusive stroke who underwent MT were retrospectively enrolled from 2 stroke center in China. The AIP is a logarithmically transformed ratio of triglycerides to high-density lipoprotein cholesterol. END was defined as an increase of ≥ 4 point in National Institutes of Health Stroke Scale within 24 hours after surgery. Multivariable regression analysis and restricted cubic spline was utilized to determine the association of AIP index with risk of END.

RESULTS

Of 601 patients (mean age, 70.2 ± 12.1 years; 62.1 % of male) enrolled, 91 (15.1 %) experienced postoperative END. After adjustment for potential confounders, higher AIP levels were significantly associated with an increased risk of END after MT treatment (Per 1-standard deviation increase; odd ratio, 1.474; 95 % confidence interval, 1.162-1.869, P = 0.001). Similar results were confirmed when the AIP was analyzed as a categorical variable. Restricted cubic spline further demonstrated a linear relationship between AIP and risk of END (P = 0.001 for linearity).

CONCLUSIONS

The present study found that a higher AIP index were associated with END in acute ischemic stroke patients following MT treatment for emergent large vessel occlusion.

Effect of Atherogenic Index of Plasma on Pre-Percutaneous Coronary Intervention Thrombolysis in Myocardial Infarction Flow in Patients With ST Elevation Myocardial Infarction

Dyslipidemia is an important risk factor for cardiovascular morbidity and mortality. Although low-density lipoprotein (LDL) is primarily responsible, the importance of triglyceride (TG) and high-density lipoprotein (HDL) has also been recognized. The present study investigated the effect of the atherogenic index of plasma (AIP), in which atherogenic and protective lipoproteins were evaluated together, on the initial flow in patients with ST elevation myocardial infarction. AIP was calculated as log(TG/HDL-cholesterol). Patients included in the study (n = 1535) were divided into Thrombolysis in Myocardial Infarction (TIMI) flow grade 0 and >0. AIP was found to be significantly different between 2 groups (.55 ± .23 vs .67 ± .21; P < .001). AIP was an independent predictor for pre-intervention TIMI flow (Odds Ratio: 2.778). A moderate correlation was found between TIMI frame count measurements, calculated in patients with TIMI 2-3, and AIP (Pearson correlation coefficient: .63, P < .001). In the receiver operating characteristic analysis, AIP showed the highest area under curve (AUC) compared with other lipid parameters for predicting vascular patency. The AUC of AIP was .634, the cut-off value was .59, and the sensitivity and specificity were 67.6% and 68.4%, respectively (P < .001). In conclusion, AIP was found to be an important marker affecting pre-percutaneous coronary intervention TIMI flow.

Triglyceride-glucose index as a predictor of cardiac adverse events in acute coronary syndrome patients undergoing percutaneous coronary intervention: role of diabetes

BACKGROUND

Triglyceride-glucose index (TyG), a surrogate marker of insulin resistance (IR), could be a potential prognostic marker in patients with acute coronary syndromes (ACS). We evaluated the effect of the TyG index on major adverse cardiac and cerebrovascular events (MACCE) in patients with ACS undergoing percutaneous coronary intervention (PCI).

METHODS

This registry-based cohort study was conducted at Tehran Heart Center from 2015 to 2021 and the median follow-up duration was 378 days. The primary outcome was MACCE and the secondary outcomes were MACCE components: all-cause mortality, myocardial infarction, stroke, target vessel revascularization, target lesion revascularization, and coronary artery bypass grafting. For comparison among TyG quartiles (Q), the log-rank test was used. Unadjusted and adjusted hazard ratios (HRs) and their 95% confidence intervals (CIs) were used to describe the association between TyG quartiles and MACCE. A subgroup of euglycemic patients was also evaluated.

RESULTS

A total of 13,542 patients were included. Patients in the fourth TyG quartile (Q4) were younger, had higher mean BMI, and higher prevalence of hypertension, diabetes, and dyslipidemia. The adjusted Cox model showed that a 1-unit increment of the TyG index was associated with a significantly higher risk of MACCE (aHR 1.18, 95% CI 1.08 to 1.30, p < 0.001). Among TyG quartiles, there was a higher MACCE incidence in Q4 compared to Q1 (aHR 1.29, 95% CI 1.08 to 1.53, p = 0.005). In the euglycemic subgroup of the population, there was no significant association between MACCE incidence and a 1-unit increase in TyG or among TyG quartiles.

CONCLUSION

Based on our findings, while higher TyG levels and quartiles were associated with higher rates of MACCE in ACS, there was no such effect in the euglycemic population. If confirmed in future studies, these results can be beneficial for clinicians to risk stratify these patients with an easy-to-use index and determine clinical plans based on their risk.

Association between the atherogenic index of plasma and coronary collateral circulation in patients with chronic total occlusion

BACKGROUND

The atherogenic index of plasma (AIP) is considered an independent risk factor for coronary artery disease (CAD). The present study investigated whether AIP correlates with the formation of coronary collateral circulation (CCC) in CAD patients with chronic total occlusion (CTO).

METHODS

This retrospective study included 1093 CAD patients with CTO confirmed by coronary angiography from January 2020 to December 2020 at Beijing Anzhen Hospital. Based on the Rentrop scoring system, the patients were divided into the good CCC group and the poor CCC group. AIP was calculated by log (triglyceride/high-density lipoprotein cholesterol). Meanwhile, the study population was further divided into four groups according to the quartiles of AIP.

RESULTS

Patients in the poor CCC group exhibited significantly higher AIP compared to those in the good CCC group (0.31 ± 0.27 vs. 0.14 ± 0.24, p < 0.001). Multivariate logistic regression analysis revealed an independent association between AIP and poor CCC, regardless of whether AIP was treated as a continuous or categorical variable (p < 0.001), after adjusting for confounding factors. Besides, this association remained consistent across most subgroups. The incorporation of AIP into the baseline model significantly enhanced the accuracy of identifying poor CCC [area under the curve (AUC): baseline model, 0.661 vs. baseline model + AIP, 0.721, p for comparison < 0.001].

CONCLUSIONS

Elevated AIP is independently associated with an increased risk of poor CCC in CAD patients with CTO, and AIP may improve the ability to identify poor CCC in clinical practice.

The association of atherogenic index of plasma with cardiovascular outcomes in patients with coronary artery disease: A systematic review and meta-analysis

BACKGROUND

Atherogenic index of plasma (AIP) represents a novel marker in the current era of cardiovascular diseases. In this meta-analysis, we aimed to evaluate the association of AIP with cardiovascular prognosis in patients with coronary artery disease (CAD).

METHODS

PubMed, Scopus, and Web of Science databases were searched from inception through 2024. The primary outcome was major cardiovascular events (MACE). The secondary outcomes included all-causes death, cardiovascular death, myocardial infarction (MI), stroke, revascularization, and no-reflow phenomenon. AIP was determined by taking the logarithm of the ratio of triglyceride (TG) to high-density lipoprotein cholesterol (HDL-C). The data analysis was represented using the risk ratio (RR) along with a 95% confidence interval (CI).

RESULTS

Sixteen studies with a total number of 20,833 patients met the eligible criteria. The pooled-analysis showed a significant increased risk of MACE in the highest AIP group compared with the lowest AIP group (RR = 1.63; 95% CI, 1.44-1.85; P < 0.001). A similar result was observed when AIP was regarded as a continuous variable (RR = 1.54; 95% CI, 1.30-1.83; P < 0.001). Besides, elevated AIP was associated with increased risk of cardiovascular death (RR = 1.79; 95% CI, 1.09-2.78; P = 0.02), MI (RR = 2.21; 95% CI, 1.55-3.13; P < 0.001), revascularization (RR = 1.62; 95% CI, 1.34-1.97; P < 0.001), no-reflow phenomenon (RR = 3.12 95% CI, 1.09-8.96; P = 0.034), and stent thrombosis (RR = 13.46; 95%CI, 1.39-129.02; P = 0.025). However, AIP was not significantly associated with the risk of all-causes death and stroke among patients with CAD.

CONCLUSIONS

The results of this study demonstrated that increased AIP is an independent prognostic factors in patients with CAD. Further research is warranted to elucidate the potential development of targeted interventions to modify AIP levels and improve patient outcomes.

The non-HDL-C/HDL-C ratio is a strong and independent predictor of the no-reflow phenomenon in patients with ST-elevation myocardial infarction

BACKGROUND

No-reflow (NR) is the inability to achieve adequate myocardial perfusion despite successful restoration of attegrade blood flow in the infarct-related artery after primary percutaneous coronary intervention. The non-HDL-C/HDL-C ratio has been shown to be superior to conventional lipid markers in predicting most cardiovascular diseases. In this study, we wanted to reveal the predictive value of the NR by comparing the Non-HDL-C/HDL-C ratio with traditional and non-traditional lipid markers in patients who underwent primary percutaneous coronary intervention (pPCI) due to ST-elevation myocardial infarction (STEMI).

METHODS

A total of 1284 consecutive patients who underwent pPCI for STEMI were included in this study. Traditional lipid profiles were detected and non-traditional lipid indices were calculated. Patients were classified as groups with and without NR and compared in terms of lipid profiles.

RESULTS

No-reflow was seen in 18.8% of the patients. SYNTAX score, maximal stent length, high thrombus burden, atherogenic index of plasma and non-HDL-C/HDL-C ratio were determined as independent predictors for NR (p < 0.05, for all). The non-HDL-C/HDL-C ratio predicts the development of NR in STEMI patients with 71% sensitivity and 67% specificity at the best cut-off value. In ROC curve analysis, the non-HDL-C/HDL-C ratio was superior to traditional and non-traditional lipid markers in predicting NR (p < 0.05, for all).

CONCLUSION

The non-HDL-C/HDL-C ratio can be a strong and independent predictor of NR in STEMI patients and and therefore non-HDL-C/HDL-C ratio may be a useful lipid-based biomarker that can be used in clinical practice to improve the accuracy of risk assessment in patients with STEMI.

Elevated atherogenic index of plasma increased the risk of myocardial infarction in a general population

PURPOSE

The atherogenic index of plasma (AIP) has been shown to be related to cardiovascular disease risk, but evidence on the longitudinal pattern of AIP during follow-up is limited. We aimed to explore the associations of baseline and long-term AIP with the risk of myocardial infarction (MI).

METHODS

We included 98,861 participants in the Kailuan Study who were free of MI at baseline. AIP was calculated as log (triglyceride/high-density lipoprotein cholesterol). Long-term AIP included the long-term mean AIP (mean AIP from baseline to the first occurrence of MI or the end of follow-up) and number of visits with high AIP (above the cutoff value at the first three visits). The baseline and updated mean AIP were in operationalized as quartiles. Cox proportional hazard models were used to determine the associations between AIP and risk of MI. We excluding all deaths during the follow-up visits in the sensitivity analysis.

RESULTS

During a median follow-up of 12.80 years, 1804 participants developed MI. Compared with quartile 1, the adjusted hazard ratios in baseline and updated mean AIP quartile 4 were 1.63 (95% CI, 1.41-1.88) and 1.59 (95% CI, 1.37-1.83), respectively. Compared with participants who did not have a high AIP, the HR among individuals with AIP elevated by three times was 1.94 (95% CI,1.55-2.45). The sensitivity analysis showed similar associations.

CONCLUSIONS

Elevated levels of both baseline and long-term AIP increased the risk of MI.

Atherogenic Index of Plasma Predicts Obstructive Coronary Artery Disease in Patients with Stable Angina Pectoris

AIMS

Chronic coronary syndrome is associated with several risk factors, such as dyslipidemia and hypertension. The atherogenic index of plasma (AIP) has been demonstrated to be a biochemical risk factor for coronary artery disease (CAD). This study aimed to determine whether the AIP is an effective parameter for estimating obstructive CAD.

METHODS AND RESULTS

A total of 345 patients (with a mean age of 62.2 ± 10.3; 63% male) who underwent coronary angiography were included in this study. Obstructive CAD is defined as having one or more vessels with a stenosis level of ≥50%. Depending on the presence of obstructive CAD, all patients were divided into two groups. The mean AIP value was found to be 0.538 ± 0.26 in the study group. The AIP values were significantly higher in the obstructive coronary artery group (AIP; 0.49 ± 0.26 vs. 0.58 ± 0.27, p = 0.002). According to a univariable analysis, AIP values were significantly associated with obstructive coronary artery disease [OR: 3.74 (CI 95% 1.62-8.64), p = 0.020]. The AIP was further adjusted for confounding risk factors in three multivariable analysis models and, all three models showed a significant association. According to an ROC analysis, 0.49 is the cut-off value for AIP, and a value above 0.49 indicates 50% coronary artpery stenosis.

CONCLUSIONS

The AIP may be used in the assessment of cardiovascular risk for patients with stable angina pectoris, and it may also be used to estimate obstructive CAD.

Association between the atherogenic index of plasma and adverse long-term prognosis in patients diagnosed with chronic coronary syndrome

BACKGROUND

The Atherogenic Index of Plasma (AIP) is a newly identified biomarker associated with lipid metabolism, demonstrating significant prognostic capabilities in individuals diagnosed with cardiovascular disease. However, its impact within the context of chronic coronary syndromes (CCS) remains unexplored. Thus, the present investigation sought to examine the potential association between AIP levels and long-term clinical outcomes in patients diagnosed with CCS.

METHODS

A total of 404 patients diagnosed with CCS and who underwent coronary angiography were included in this study. The AIP index was calculated as log (triglycerides / high-density lipoprotein-cholesterol). The patients were categorized into four groups based on their AIP values: Q1 (< -0.064), Q2 (-0.064 to 0.130), Q3 (0.130 to 0.328), and Q4 (> 0.328). The occurrence of major adverse cardiovascular events (MACE) was monitored during the follow-up period for all patients. Cox regression analysis and Kaplan-Meier curve analysis were employed to examine the relationship between AIP and MACE. Furthermore, ROC analysis was utilized to determine the optimal cut-off value of AIP for predicting clinical MACE.

RESULTS

During the median 35 months of follow-up, a total of 88 patients experienced MACE. Notably, the group of patients with higher AIP values (Q4 group) exhibited a significantly higher incidence of MACE compared to those with lower AIP values (Q1, Q2, and Q3 groups) (31.7% vs. 16.8%, 15.7%, and 23.0% respectively; P = 0.023). The Kaplan-Meier curves illustrated those patients in the Q4 group had the highest risk of MACE relative to patients in the other groups (log-rank P = 0.014). Furthermore, the multivariate Cox regression analysis demonstrated that individuals in the Q4 group had a 7.892-fold increased risk of MACE compared to those in the Q1 group (adjusted HR, 7.892; 95% CI 1.818-34.269; P = 0.006). Additionally, the ROC curve analysis revealed an optimal AIP cut-off value of 0.24 for predicting clinical MACE in patients with CCS.

CONCLUSION

Our data indicate, for the first time, that AIP is independently associated with poor long-term prognosis in patients suffering from CCS. The optimal AIP cut-off value for predicting clinical MACE among CCS patients was 0.24.

Research progress of Traditional Chinese Medicine (TCM) in targeting inflammation and lipid metabolism disorder for arteriosclerosis intervention: A review

Atherosclerosis (AS) is a chronic disease caused by inflammation and lipid deposition. Immune cells are extensively activated in the lesions, producing excessive pro-inflammatory cytokines, which accompany the entire pathological process of AS. In addition, the accumulation of lipid-mediated lipoproteins under the arterial intima is a crucial event in the development of AS, leading to vascular inflammation. Improving lipid metabolism disorders and inhibiting inflammatory reactions are the primary treatment methods currently used in medical practice to delay AS progression. With the development of traditional Chinese medicine (TCM), more mechanisms of action of the monomer of TCM, Chinese patent medicine, and compound prescription have been studied and explored. Research has shown that some Chinese medicines can participate in treating AS by targeting and improving lipid metabolism disorders and inhibiting inflammatory reactions. This review explores the research on Chinese herbal monomers, compound Chinese medicines, and formulae that improve lipid metabolism disorders and inhibit inflammatory reactions to provide new supplements for treating AS.

The triglyceride-glucose index and contrast-induced nephropathy in non-ST elevation myocardial infarction patients undergoing percutaneous coronary intervention

The triglyceride glucose (TyG) index is an indicator of insulin resistance and associated with increased risk of diabetes mellitus and cardiovascular events. Our study investigates the correlation between TyG index and contrast induced nephropathy (CIN) in non-diabetic patients with non-ST elevation myocardial infarction (NSTEMI) undergoing percutaneous coronary intervention (PCI). 350 non-diabetic NSTEMI patients (183, 52.3% male) undergoing PCI were retrospectively enrolled. The enrolled cohort was divided into 2 groups based on the calculated TyG index, namely values < 8.65 or higher. CIN was defined as an increase in serum creatinine > 25% or 0.5 mg/dL from baseline in the first 48 to 72 hours after PCI. A total of 56 (16%) cases of CIN were diagnosed. In contrast to patients with lower TyG indexes, patients with higher TyG indexes (≥8.65) had a higher frequency of CIN, 9.5%. versus 20.8% respectively (P .004). Patients with CIN also had higher TyG indexes (8.74 ± 0.12 vs 8.67 ± 0.11, P < .001). In addition, TyG index, age, and glomerular filtration rate were identified as independent risk factors for CIN in logistic regression model (OR: 2.5 CI: 1.3-4.6, P .006, OR: 1.0 CI: 1.0-1.1, P < .001, OR: 1.0 KI: 1.03-1.06, P .025). In the ROC analysis, the area under the curve predictive of CIN was 0.666 (P < .001, 95% [CI] 0.58-0.75) with a cutoff value of 8.69 (sensitivity 71,4%, specificity 55.1%) TyG index. Higher TyG indexes are associated with an increased risk of CIN in non-diabetic patients with NSTEMI.

Landscape of lipidomics in cardiovascular medicine from 2012 to 2021: A systematic bibliometric analysis and literature review

Lipidomics has shaped our knowledge of how lipids play a central role in cardiovascular diseases (CVD), whereas there is a lack of a summary of existing research findings. This study performed a bibliometric analysis of lipidomics research in cardiovascular medicine to reveal the core countries, institutions, key researchers, important references, major journals, research hotspots and frontiers in this field. From 2012 to 2021, a total of 761 articles were obtained from the Web of Science Core Collection database. There is a steady increase of publications yearly. The United States and China are on the top of the list regarding article output. The institutions with the most publications were the Baker Heart and Diabetes Institute, the Chinese Academy of Sciences and Harvard Medical School. Peter J Meikle was both the most published and most co-cited author. The major journal in this field is Journal of lipid research. Keyword co-occurrence analysis indicated that coronary heart disease, mass spectrometry, risk, fatty acid, and insulin resistance have become hot topics in this field and keyword burst detection suggests that metabolomics, activation, liver, low density lipoprotein are the frontiers of research in recent years. Collectively, lipidomics in CVD is still in its infancy with a steady increase yearly. More in-depth studies in this area are warranted in the future.

Atherogenic index of plasma and coronary artery disease: A systematic review

Various studies suggest that the atherogenic index of plasma (AIP) is associated with the risk of coronary artery disease (CAD) in different clinical scenarios. This review aimed to synthesize evidence of the association between AIP values and CAD. A literature search was carried out on four databases, namely, PubMed, Scopus, Web of Science, and Ovid-Medline. A handsearch was performed on preprint repositories (MedRxiv and Research Square). The effect measurements were expressed as odds ratios (OR) with their corresponding 95% confidence intervals (CI). For the quantitative synthesis, we employed a random-effects model. We analyzed 14 articles (with 40,902 participants) from seven different countries. The quantitative analysis revealed that an increase in one unit of AIP was associated with higher odds of developing CAD (OR 2.11; 95% CI 1.65-2.69; P < 0.001; I ² = 98%). We conducted subgroup analyses of Chinese (OR 1.89; 95% CI 1.40-2.56; P < 0.001) and non-Chinese studies (OR 2.51; 95% CI 1.42-4.42; P < 0.001). The sensitivity analysis by risk of bias continued to demonstrate an association, and the heterogeneity remained unchanged (OR 1.75; 95% CI 1.33-2.31; P < 0.001; I ² = 98%). Higher AIP values were associated with higher odds of developing CAD.

Novel grading system for ischemia‒reperfusion injury manifestations in patients with acute ST-segment elevation myocardial infarction undergoing percutaneous coronary intervention

To establish a simple myocardial ischemia‒reperfusion injury (MIRI) manifestation grading system based on clinical manifestations and coronary angiography during primary percutaneous coronary intervention (PPCI). All STEMI patients treated with PPCI from June 2018 to November 2019 were included. According to the MIRI manifestation grade, patients were divided into four grades (I-IV). Laboratory and clinical indicators of the patients and the occurrence of major adverse cardiac events (MACEs) within one year of follow-up were analyzed. A total of 300 patients were included. The higher the MIRI manifestation grade, the lower was the high-density lipoprotein cholesterol (HDL-C); the higher were the C-reactive protein (CRP), lipoprotein(a) [LP(a)], and peak levels of high-sensitivity troponin T (hs-cTnT), creatine kinase (CK-MB), and N-terminal pro-B-type natriuretic peptide (NT-proBNP); and the higher were the proportions of right coronary artery (RCA) and multivessel lesions (P < 0.05). The left ventricular end-diastolic dimension (LVEDD) and E/e' values of patients with higher grades were significantly increased, while the LVEF, left ventricular short-axis functional shortening (LVFS) and E/A values were significantly decreased (P < 0.05). The one-year cumulative incidence of major adverse cardiac events (MACEs) in patients with grade I-IV disease was 7.7% vs. 26.9% vs. 48.4% vs. 93.3%, respectively, P < 0.05. The higher the MIRI manifestation grade, the more obvious is the impact on diastolic and systolic function and the higher is the cumulative incidence of MACEs within one year, especially in patients with multivessel disease, low HDL-C, high CRP, high LP(a) levels, and the RCA as the infarction-related artery.

New R2-CHA2DS2-VASc score predicts no-reflow phenomenon and long-term prognosis in patients with ST-segment elevation myocardial infarction after primary percutaneous coronary intervention

Aims

Evaluating the prognostic validity of new R₂-CHA₂DS₂-VASc score for no-reflow phenomena and long-term prognosis in patients following primary percutaneous coronary intervention (PCI) with ST-elevation myocardial infarction (STEMI).

Materials and methods

From January 2017 to December 2018, a total of 401 patients with STEMI were continuously enrolled. According to the cut-off value, the patients were separated into two groups: R₂-CHA₂DS₂-VASc < 3 group (n = 275) and R₂-CHA₂DS₂-VASc ≥ 3 group (n = 126).

Results

With a sensitivity of 52.6% and a specificity of 73.1%, the optimal cut-off value for predicting no-reflow is R₂-CHA₂DS₂-VASc ≥ 3. R₂-CHA₂DS₂-VASc ≥ 3 as the ideal cut-off value for predicting major adverse cardiovascular events (MACE) with an area under the curve (AUC) of 0.781 [95% Confidence interval (CI): 0.738–0.801, P 0.001], a sensitivity of 50%, and a specificity of 91.1%. The incidence of MACE, death from all causes, and worsening heart failure was greater in the R₂-CHA₂DS₂-VASc ≥ 3 group, although there was no significant difference in the incidence of repeated revascularisation procedures following PCI between the two groups. R₂-CHA₂DS₂-VASc ≥ 3 was also an independent predictor of MACE (hazard ratio = 2.48, 95% confidence interval CI: 1.33–4.62, P = 0.04). Moreover, this score has a greater sensitivity (66.7%) and specificity (88.7%) for predicting the progression of heart failure.

Conclusion

R₂-CHA₂DS₂-VASc ≥ 3 was independently associated with no-reflow phenomenon and poor clinical outcomes for patients in STEMI after primary PCI.

Machine learning to predict no reflow and in-hospital mortality in patients with ST-segment elevation myocardial infarction that underwent primary percutaneous coronary intervention

BACKGROUND

The machine learning algorithm (MLA) was implemented to establish an optimal model to predict the no reflow (NR) process and in-hospital death that occurred in ST-elevation myocardial infarction (STEMI) patients who underwent primary percutaneous coronary intervention (pPCI).

METHODS

The data were obtained retrospectively from 854 STEMI patients who underwent pPCI. MLA was applied to predict the potential NR phenomenon and confirm the in-hospital mortality. A random sampling method was used to split the data into the training (66.7%) and testing (33.3%) sets. The final results were an average of 10 repeated procedures. The area under the curve (AUC) and the associated 95% confidence intervals (CIs) of the receiver operator characteristic were measured.

RESULTS

A random forest algorithm (RAN) had optimal discrimination for the NR phenomenon with an AUC of 0.7891 (95% CI: 0.7093-0.8688) compared with 0.6437 (95% CI: 0.5506-0.7368) for the decision tree (CTREE), 0.7488 (95% CI: 0.6613-0.8363) for the support vector machine (SVM), and 0.681 (95% CI: 0.5767-0.7854) for the neural network algorithm (NNET). The optimal RAN AUC for in-hospital mortality was 0.9273 (95% CI: 0.8819-0.9728), for SVM, 0.8935 (95% CI: 0.826-0.9611); NNET, 0.7756 (95% CI: 0.6559-0.8952); and CTREE, 0.7885 (95% CI: 0.6738-0.9033).

CONCLUSIONS

The MLA had a relatively higher performance when evaluating the NR risk and in-hospital mortality in patients with STEMI who underwent pPCI and could be utilized in clinical decision making.

Rice bran oil could favorably ameliorate atherogenicity and insulin resistance indices among men with coronary artery disease: post hoc analysis of a randomized controlled trial

BACKGROUND

Despite recent advances in recognizing more reliable indicators to estimate the coronary artery disease (CAD) patients' response to treatment and prognosis, less attention has been paid to evaluating them in clinical trials. Hence, the present research was conducted to study the impact of rice bran oil (RBO) versus sunflower oil (SFO) on various atherogenicity and insulin resistance markers.

METHODS

In the present 8-week randomized controlled trial, 40 CAD men with an average age of 56 years were allocated randomly into the intervention or control group to use RBO or SFO (30 g/day) plus a standardized dietary plan. As a further analysis, eight atherosclerosis-related indices were calculated before and after the study.

RESULTS

Analysis of covariance test in which potential confounders and baseline levels were considered, indicated that using RBO compared to SFO reduced Castelli's risk index I and II (adjusted means:3.29, 1.52 vs. 4.61, 2.20, respectively), atherogenic coefficient (2.29 vs. 3.61), lipoprotein combine index (6.54 vs. 17.53), and cholesterol index (0.46 vs. 1.20) after the trial (P-value ≤ 0.002). Also, the RBO group yielded significantly lower triglyceride glucose index (8.73 vs. 9.13) (P-value = 0.010). Further, marginally significant amelioration in triglyceride/HDL ratio and atherogenic index of plasma (1.48 and 0.13 vs. 1.86 and 0.24 respectively) were noted (P-value = 0.07). Spearman correlation analysis detected significant positive correlations between alterations in TNF-α serum levels (ng/L) and the majority of evaluated indices (P-value < 0.05).

CONCLUSION

Taken together, incorporating 30 g of RBO into the patient's usual diet appeared effective in ameliorating atherogenicity and insulin resistance indicators among men with CAD, probably in relation to its anti-inflammatory properties.

TRIAL REGISTRATION

The protocol of the current trial was retrospectively recorded in the Iranian clinical trial registration system (IRCT) with the registration number of IRCT20190313043045N1 (URL: https://en.irct.ir/trial/38346 ; Registration date: 2019-04-27).

Discovery of 4-benzyloxy and 4-(2-phenylethoxy) chalcone fibrate hybrids as novel PPARα agonists with anti-hyperlipidemic and antioxidant activities: Design, synthesis and in vitro/in vivo biological evaluation

In the current work, a series of novel 4-benzyloxy and 4-(2-phenylethoxy) chalcone fibrate hybrids (10a-o) and (11a-e) were synthesized and evaluated as new PPARα agonists in order to find new agents with higher activity and fewer side effects. The 2-propanoic acid derivative 10a and the 2-butanoic acid congener 10i showed the best overall PPARα agonistic activity showing E_max% values of 50.80 and 90.55%, respectively, and EC₅₀ values of 8.9 and 25.0 μM, respectively, compared to fenofibric acid with E_max = 100% and EC₅₀ = 23.22 μM, respectively. These two compounds also stimulated carnitine palmitoyltransferase 1A gene transcription in HepG2 cells and PPARα protein expression. Molecular docking simulations were performed for the newly synthesized compounds to study their predicted binding pattern and energies in PPARα active site to rationalize their promising activity. In vivo, compounds 10a and 10i elicited a significant hypolipidemic activity improving the lipid profile in triton WR-1339-induced hyperlipidemic rats, including serum triglycerides, total cholesterol, LDL, HDL and VLDL levels. Compound 10i possessed better anti-hyperlipidemic activity than 10a. At a dose of 200 mg/kg, it demonstrated significantly lower TC, TG, LDL and VLDL levels than that of fenofibrate at the same dose with similar HDL levels. Compounds 10i and 10a possessed atherogenic indices (CRR, AC, AI, CRI-II) like that of fenofibrate. Additionally, a promising antioxidant activity indicated by the increased tissue reduced glutathione and plasma total antioxidant capacity with decreased plasma malondialdehyde levels was demonstrated by compounds 10a and 10i. No histopathological alterations were recorded in the hepatic tissue of compound 10i (200 mg/kg).

The ATRIA and Modified-ATRIA Scores in Evaluating the Risk of No-Reflow in Patients With STEMI Undergoing Primary Percutaneous Coronary Intervention

The no-reflow (NR) phenomenon is frequently encountered in acute coronary syndrome. We evaluated the association between anticoagulation and risk factors in atrial fibrillation (ATRIA) and modified ATRIA risk scores and NR in ST-elevation myocardial infarction (STEMI). Consecutive patients (n = 551) who underwent primary percutaneous coronary intervention between December 2019 and June 2020 due to STEMI were included. The mean age of the patients was 60.5 ± 10.8 years (n = 369, 67% male). The ATRIA and modified anticoagulation and risk factors in atrial fibrillation-hyperlipidemia, smoking, male (m-ATRIA-HS) scores were calculated. The NR group had higher frequency of diabetes mellitus (DM), serum creatine kinase-MB (CK-MB) levels, and corrected thrombolysis in myocardial infarction frame count (cTFC) (P = .002, P = .006, and P < .001, respectively). In regression analysis, ATRIA, m-ATRIA-HS, thrombus grade, and cTFC were independent predictors of NR. Age, higher CK-MB, and neutrophil-to-lymphocyte ratio and DM were the other predictors for NR. Pairwise comparison of receiver operating characteristics curve analysis showed that the m-ATRIA-HS (>2, area under curve [AUC]: 0.715) has better performance than ATRIA score (>1, AUC: 0.656), with a P < .022 and z statistics 2.279. In conclusion, ATRIA, especially the m-ATRIA-HS, can be used to evaluate NR risk in STEMI.

Novel predictors and adverse long-term outcomes of No-reflow phenomenon in patients with acute ST elevation myocardial infarction undergoing primary percutaneous coronary intervention

Objectives

The no-reflow phenomenon occurs in 25% of patients with ST elevation myocardial infarction (STEMI) undergoing primary percutaneous coronary intervention (PCI), and may be associated with adverse outcomes. The aim of our study was to detect novel predictors of no-reflow phenomenon and the resulting adverse long term outcomes.

Methods

We enrolled 400 STEMI patients undergoing primary PCI; 228 patients had TIMI flow 3 after PCI (57%) and the remaining 172 patients had TIMI flow <3 (43%). Fibrinogen to albumin ratio (FAR), high sensitive C-reactive protein to albumin ratio (CAR), and atherogenic index of plasma (AIP) were calculated. Long term mortality and morbidity during 6 months follow up were recorded. These data were compared among both groups.

Results

In multivariate regression analysis, old age (OR = 1.115, 95% CI: 1.032–1.205, P = 0.006), higher troponin level >5.6 ng/mL (OR = 1.040, 95% CI: 1.001–1.080, P = 0.04), diabetes mellitus (OR = 4.401, 95% CI: 1.081–17.923, P = 0.04) and heavy thrombus burden (OR = 16.915, 95% CI: 5.055–56.602, P < 0.001) could be considered as predictors for the development of no-reflow. Interestingly, CAR >0.21, FAR >11.56, and AIP >0.52 could be considered as novel powerful independent predictors (OR = 3.357, 95% CI: 2.288–4.927, P < 0.001, OR = 4.187, 95% CI: 2.761–6.349, P < 0.001, OR = 16.794, 95% CI: 1.018–277.01, P = 0.04, respectively). Higher long term mortality (P < 0.001) and heart failure (P < 0.001) was also strongly related to incidence of no-reflow.

Conclusion

No-reflow could be attributed to novel predictors as CAR, FAR, and AIP. This phenomenon was associated with long term adverse events as higher mortality and pump failure.

Reply to the letter to the editor: [Letter by Yue J, et al. regarding article 'The relationship between atherogenic index of plasma and noreflow in patients with acute ST segment elevation myocardial infarction who underwent primary percutaneous coronary intervention']

We have read with a great pleasure the letter of Yue J, et al. to the editor about our recent study which showed an association between atherogenic index of plasma and no-reflow in patients with ST segment elevation myocardial infarction who underwent primary percutaneous coronary intervention. Yue J, et al. raises concerns about the timing of blood collection, whether if it was taken before the emergency intervention or after. In emergency department, while performing intravenous line, the blood samples for blood biochemistry and whole blood count were also taken from the patients. Another concern of the author was the timing of left ventricular ejection fraction measurement (LVEF). LVEF measurements were obtained before the emergency intervention and some were after the intervention, but before the patient discharge. In our study we included the LVEF in our model, because we could not ignore that modeling which was comprehensively used in recent studies on relation of LVEF and no-reflow. We designed this statistical model not only for the no-reflow prediction but also for the explanation of the no-reflow pathophysiology. We thank the authors' letter for pointing out these issues that we hope to have addressed.

Serum Endocan Levels Predict Angiographic No-Reflow Phenomenon in Patients With ST-Segment Elevation Myocardial Infarction Undergoing Primary Coronary Intervention

No-reflow phenomenon (NRP) is an important problem in patients with ST-segment elevation myocardial infarction (STEMI) undergoing primary percutaneous coronary intervention (pPCI). Endocan is synthesized and secreted by activated vascular endothelium, and it has been shown to be related to endothelial dysfunction and inflammation. We aimed to evaluate the relationship between endocan levels and NRP. Consecutive patients (n = 137) with STEMI who had undergone coronary angiography and pPCI were enrolled into the study. The clinical characteristics of the patients were obtained and endocan levels were measured. Endocan levels were significantly higher in the NRP (+) group compared with the NRP (-) group (P < .001). In multivariate analysis, endocan (P < .001, OR = 2.39, 95% CI = 1.37-4.15) was found to be an independent predictor of NRP. An endocan value of >2.7 ng/mL has 89.6% sensitivity and 74.2% specificity for the prediction of the NRP (area under the curve: 0.832, P < .001). The present study demonstrated that the endocan level is an independent predictor of the NRP in patients with STEMI who underwent pPCI. Endocan levels may be helpful in detecting patients with a higher risk of insufficient myocardial perfusion and worse clinical outcome.

Comment on "The relationship between atherogenic index of plasma and no‑reflow in patients with acute ST‑segment elevation myocardial infarction who underwent primary percutaneous coronary intervention"

We read with great pleasure the interesting study evaluating "The relationship between atherogenic index of plasma (AIP) and no-reflow in patients with acute ST-segment elevation myocardial infarction who underwent primary percutaneous coronary intervention" by Süleymanoğlu M et al. The most important problem in the study was that they miscalculated their patients' AIP values. As a result of this miscalculation, all patients seemed to be at high cardiac risk. When calculating AIP, the unit of both triglyceride (TG) and high-density lipoprotein (HDL) levels should be taken in mmol. In calculating the AIP value, Süleymanoğlu et al. used the units as mg/dl and found the median values as 0.50 (patients with noreflow, high cardiac risk) and 0.39 (patients without noreflow, high cardiac risk), respectively. When we calculate the estimated AIP by converting units to mmol, it is 0.15 (patients with noreflow, intermediate cardiac risk) and 0.03 (patients with noreflow, low cardiac risk), respectively. Interestingly, their patients' cholesterol levels such as total cholesterol, TG, low-density lipoprotein, and HDL were very lower than those of healthy individuals in their country. We believe that the authors should explain this situation.