The positive association between the atherogenic index of plasma and the risk of new-onset hypertension: a nationwide cohort study in China

BACKGROUND

The atherogenic index of plasma (AIP) is a novel metabolic biomarker of atherosclerosis. Nevertheless, the association between the AIP and new-onset hypertension has not been elucidated in the Chinese population.

METHODS

Prospective data were obtained from 3150 participants aged ≥ 18 years in the China Health and Nutrition Survey from 2009 to 2015. The AIP is a logarithmically transformed ratio of triglycerides to high-density lipoprotein cholesterol in molar concentration. Cox regression analysis was used to determine the association of AIP index with new-onset hypertension.

RESULTS

After the six-year follow-up, 1054 (33.4%) participants developed new-onset hypertension. The participants were divided into AIP quartile groups (Q1-Q4). Compared with those in Q1, subjects in Q3-4 had nearly 1.35 times the risk of new-onset hypertension after full adjustment [Q3: hazard ratio (HR): 1.35, 95% confidence interval (CI): 1.13-1.62; Q4: HR: 1.35, 95% CI: 1.13-1.64]. The risks of new-onset hypertension were nearly 1.30 times higher in subjects in Q2-4 than in subjects in Q1 (p < .01) after the full adjustment when we excluded subjects with diabetes and/or chronic kidney diseases. There was a significant difference [HR (CI): 1.27 (1.04-1.54) vs. 0.90 (0.69-1.18)] when subjects were divided into two groups according to body mass index (BMI) level (<24 vs. ≥24 kg/m2).

CONCLUSIONS

The present study suggested that individuals with a higher AIP index are associated with new-onset hypertension, independent of kidney function and glucose levels. The association was stronger in subjects with normal BMI, which may provide early screening of metabolomics in hypertension prevention.

Non-linear associations of atherogenic index of plasma with prediabetes and type 2 diabetes mellitus among Chinese adults aged 45 years and above: a cross-sectional study from CHARLS

Background

Dyslipidemia is strongly associated with the development of prediabetes and type 2 diabetes mellitus (T2DM). The atherogenic index of plasma (AIP), as a comprehensive index for assessing lipid metabolism, has received extensive attention from researchers in recent years. However, there are relatively few studies exploring the relationships between AIP and the risk of prediabetes and T2DM in the Chinese population. This study focuses on exploring the relationships of AIP with the risk of prediabetes and T2DM in the Chinese population.

Methods

We conducted an analysis of the public data from the China Health and Retirement Longitudinal Study (CHARLS), involving a total of 12,060 participants aged 45 years and above in China. The study explored the relationships of AIP with prediabetes and T2DM risk through multivariate logistic regression, subgroup analysis, smooth curve fitting, and threshold effect analysis.

Results

After adjusting for potential confounding factors, we observed positive associations between AIP and the risk of prediabetes [odds ratio (OR) = 1.75, 95% confidence interval (CI): 1.49-2.06] and T2DM (OR = 2.91, 95% CI: 2.38-3.57). Participants with higher AIP levels demonstrated a significantly elevated risk of prediabetes (OR = 1.52, 95% CI: 1.33-1.74) and T2DM (OR = 2.28, 95% CI: 1.92-2.71) compared to those with lower AIP levels. AIP showed consistent correlations with prediabetes and T2DM risk in different subgroups. The results showed the non-linear relationships between AIP and risk of prediabetes and T2DM, with inflection points at 0.29 and -0.04, respectively. When AIP > 0.29, there was a positive association between AIP and the risk of prediabetes (OR = 2.24, 95% CI: 1.67-3.00, p < 0.0001). Similarly, when AIP > -0.04, AIP was positively associated with the risk of T2DM (OR = 3.33, 95% CI: 2.67-4.16, p < 0.0001).

Conclusions

This study demonstrated non-linear positive associations of AIP with the risk of prediabetes and T2DM among participants ≥ 45 years of age in China.

Diagnostic Performance of Atherogenic Index of Plasma for Predicting Diabetic Foot Osteomyelitis with Peripheral Artery Disease

Background: This study aims to assess the atherogenic index of plasma (AIP) diagnostic value in detecting diabetic foot osteomyelitis (DFO) among patients with diabetic foot ulcers (DFUs). Methods: A prospective cohort study was conducted on 80 patients with DFUs and suspected DFO between January 2022 and December 2023. The primary outcome measures included the diagnosis of DFO, determined by positive microbiological analysis results from bone samples and its correlation with the AIP. Receiver operating characteristic (ROC) curves were utilized to select the optimal diagnostic cut-off points for AIP and post hoc analysis was performed to evaluate the difference in the AIP for diagnosing DFO in patients with and without peripheral arterial disease (PAD). Results: The diagnostic potential for DFO in PAD patients of AIP-1 (Log TC/HDL) showed an AUC of 0.914 (p < 0.001 [0.832-0.996]), leading to a sensitivity of 83% and a specificity of 85%. By contrast, AIP-2 (Log TG/HDL) demonstrated a slightly lower AUC of 0.841 (p < 0.001 [0.716-0.967]), leading to a sensitivity of 76% and a specificity of 74%. Conclusions: The AIP tool, with its ideal blend of sensitivity and specificity, aids in predicting DFO effectively. Therefore, clinicians should consider using AIP for patients suffering from PAD and associated DFO.

Associations of Triglycerides and Atherogenic Index of Plasma with Brain Structure in the Middle-Aged and Elderly Adults

Triglyceride (TG) and atherogenic index of plasma (AIP) have been acknowledged to be risk factors for vascular insults, but their impacts on the brain system remain elusive. To fill in some gaps, we investigated associations of TG and AIP with brain structure, leveraging the UK Biobank database. TG and high-density lipoprotein cholesterol (HDL-C) were examined at baseline and AIP was calculated as log (TG/HDL-C). We build several linear regression models to estimate associations of TG and AIP with volumes of brain grey matter phenotypes. Significant inverse associations of TG and AIP with volumes of specific subcortical traits were observed, among which TG and AIP were most significantly associated with caudate nucleus (TG: β [95% confidence interval CI] = -0.036 [-0.051, -0.022], AIP: -0.038 [-0.053, -0.023]), thalamus (-0.029 [-0.042, -0.017], -0.032 [-0.045, -0.019]). Higher TG and AIP were also considerably related with reduced cortical structure volumes, where two most significant associations of TG and AIP were with insula (TG: -0.035 [-0.048, -0.022], AIP: -0.038 [-0.052, -0.025]), superior temporal gyrus (-0.030 [-0.043, -0.017], -0.033 [-0.047, -0.020]). Modification effects of sex and regular physical activity on the associations were discovered as well. Our findings show adverse associations of TG and AIP with grey matter volumes, which has essential public health implications for early prevention in neurodegenerative diseases.

Relationship Between Atherogenic Index of Plasma and Serum Uric Acid in Patients With Untreated Essential Hypertension in China: A Cross-Sectional Study

Several studies have reported that the atherogenic index of plasma (AIP) is associated with serum uric acid (SUA) in healthy middle-aged men, kidney transplant patients, and diabetic patients. We assessed the relationship between AIP and SUA in patients with untreated essential hypertension (EH) in China. In the cross-sectional study, we evaluated 5003 patients with untreated EH in China; 1490 were assigned to the hyperuricemia (HUA) group and 3513 to the normouricemia (non-HUA) group according to the diagnostic criteria of HUA (SUA level≥6 mg/dL in females and ≥7 mg/dL in males). A higher AIP level was found in the HUA group (P < .001), and AIP was positively and independently correlated with SUA after adjusting for statistically significant variables (β = .204, P < .001). Moreover, multivariate logistic regression analysis showed that the AIP was closely and independently related to HUA after adjusting for confounders (odds ratio [OR]: 11.980, 95% confidence interval [CI]: 3.186-45.047, P < .001). Our findings suggested that the AIP was positively and independently associated with SUA, and elevated AIP might be a significant risk factor for HUA in patients with untreated EH in China.

The Atherogenic Index of Plasma Predicts Carotid in-Stent Restenosis: Development and Validation of a Nomogram

Purpose

To explore the predictive value of atherogenic index of plasma(AIP) for carotid in-stent restenosis(ISR).

Methods

Patients who underwent carotid artery stenting (CAS) in hospital from January 2016 to January 2021 were retrospectively enrolled. They were randomly divided into training and validation sets. Based on the results of carotid digital subtraction angiography (DSA) during the follow-up period, the patients were divided into ISR group and non-ISR group. The differences of AIP and lipid levels between the two groups were compared. The independent risk factors of ISR and the predictive value of AIP for ISR were analyzed. A nomogram was developed based on the independent risk factors, and the receiver operating characteristic (ROC) curve, the calibration curve and the decision curve analysis were conducted to assess the predictive ability and clinical practicability of the nomogram in both the training set and validation sets.

Results

A total of 361 patients were enrolled, including 98 in the ISR group and 263 in the non-ISR group. In the training set, AIP was significantly higher in the ISR group than in the non-ISR group (P < 0.05) and was independently associated with ISR (OR= 10.912, 95% CI: 2.520-47.248). When AIP was 0.10, it had the highest predictive value for ISR, with a sensitivity of 72. 1% and a specificity of 75.0%. Additionally, hypertension, residual stenosis, symptomatic stenosis and Hcy were also independent risk factors for ISR. The nomogram showed good discrimination performance and clinical practicability in both the training set (AUC = 0.827) and the validation set (AUC = 0.880).

Conclusion

AIP was an independent risk factor for ISR and was closely related to ISR. The nomogram developed by AIP and other variables had good predictive ability and clinical practicability for ISR.

Diabetes Mellitus Mediates the Relationship Between Atherogenic Index of Plasma and Gallstones: A Population-Based Cross-Sectional Study

Purpose

Previous studies have shown a correlation between diabetes mellitus and gallstone formation. The atherogenic index of plasma (AIP) is associated with many metabolic diseases. However, insufficient evidence still exists to elucidate the association between AIP and gallstones. The primary objective of this study was to investigate the correlation between AIP and gallstones in US adults, and the secondary objective was to analyze whether diabetes plays a mediating role in the association.

Patients and Methods

Using data from the National Health and Nutrition Survey (NHANES) conducted between 2017 and March 2020, this study investigated the association between AIP and gallstone incidence in US adults. A variety of statistical methods were used to analyze the data in this study, including multivariate logistic regression, subgroup analyses, restricted cubic spline curves (RCS), and mediation effects analysis. In addition, two-stage linear regression was used to detect possible threshold and saturation effects.

Results

A total of 6952 subjects were enrolled in the trial, of which 748 patients were diagnosed with gallstones. A significant positive association between AIP and gallstones was observed by fully adjusted multivariate logistic regression analysis, with an odds ratio (OR) of 1.45 and a 95% confidence interval (CI) of (1.09, 1.93). In addition, a non-linear positive association and saturation effect between AIP and gallstones were found, with an inflection point of 0.2246. Mediation analysis showed that diabetes had a mediating effect of 16.9% in the association between AIP and gallstones.

Conclusion

This study suggests that elevated levels of AIP are linked to an augmented vulnerability to gallstone development, with diabetes serving as a mediating factor. These findings present a novel perspective on clinical approaches to prevent and manage gallstones.

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.

Effect of Body Mass Index on the Prognostic Value of Atherogenic Index of Plasma in Patients with Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention

(1) Background: The aim of this study was to investigate whether the prognostic value of the atherogenic index of plasma (AIP) for adverse cardiovascular events in acute coronary syndrome (ACS) patients undergoing percutaneous coronary intervention (PCI) varied across different BMI groups. (2) Methods: This study was a retrospective analysis of a prospective registry involving 1725 ACS patients undergoing PCI. The primary endpoint was a composite of all-cause death, non-fatal ischemic stroke, non-fatal spontaneous myocardial infarction (MI), and unplanned repeat revascularization. (3) Results: The study population finally consisted of 526 patients with BMI < 24 kg/m2 (age 62 ± 10 years; male 64.3%), 827 patients with 24 kg/m2 ≤ BMI < 28 kg/m2 (age 60 ± 10 years; male 81.8%), and 372 patients with BMI ≥ 28 kg/m2 (age 57 ± 11 years; male 81.2%). The AIP as a continuous variable increased the risk for the primary endpoint in ACS patients undergoing PCI with BMI < 24 kg/m2 (HR 2.506; 95% CI 1.285-4.885; p = 0.007), while it did not increase the risk in patients with BMI ≥ 24 kg/m2 (hazard ratio [HR]: 1.747; 95% CI 0.921-3.316; p = 0.088 for patients with 24 kg/m2 ≤ BMI < 28 kg/m2; and HR: 2.096; 95% CI 0.835-5.261; p = 0.115 for patients with BMI ≥ 28 kg/m2, respectively). Compared with the lowest AIP tertile, the top AIP tertile was associated with a significantly increased risk of the primary endpoint in BMI < 24 kg/m2 group (HR: 1.772, 95% CI: 1.110 to 2.828, p = 0.016). (4) Conclusions: The AIP was significantly associated with an increased risk of adverse cardiovascular events in ACS patients undergoing PCI with BMI < 24 kg/m2, but not in the patients with BMI ≥ 24 kg/m2.

Exploring the Associations Between Non-Traditional Lipid Parameters and Epicardial Adipose Tissue Volume

The aim of this retrospective study was to determine the relationship between non-traditional lipid parameters and epicardial adipose tissue (EAT). A total of 770 patients with coronary computed tomography angiography examinations were included. The non-traditional lipid parameters included the atherogenic index of plasma (AIP), the atherogenic coefficient (AC), monocyte to high-density lipoprotein cholesterol (HDL-C) ratio (MHR), and lipoprotein combined index (LCI). To investigate the association between non-conventional lipid markers and the EAT-volume (EAT-v), a univariate and multivariate analyses were conducted. The receiver operating characteristic (ROC) analysis was used to compare the predictive ability among the four non-traditional lipid parameters. In the univariate analysis, we identified factors that might have effects on EAT-v (all P<.05) and adjusted for these in the multivariate analysis. We found that except for MHR, other non-traditional lipid parameters were still associated with high EAT-v after adjustment (all P<.05). In the ROC analysis, the area under the curve (AUC) of AIP was greater than that of other non-traditional lipid parameters and lipid profiles. There was an association between both non-traditional lipid parameters and EAT-v. After adjustment, the AIP remained an independent predictor of EAT-v and it outperformed other non-traditional lipid parameters.

High Atherogenic Risk in Ketosis-Prone Type 2 Diabetic Individuals with Ketosis Episodes: A Cross-Sectional Study

Purpose

Diabetes is an important contributor to the progression of atherosclerosis (AS). We aimed to investigate the correlation between ketosis episodes and lipid-related parameters in patients with new-onset ketosis-prone type 2 diabetes (KPT2D), further attempting to assess the impact of ketosis episodes on AS.

Patients and Methods

A cross-sectional study of 147 subjects with new-onset diabetes was performed, including 65 KPT2D subjects (KPT2D group) and 82 non-ketotic type 2 diabetes (T2D) (T2D group) subjects. Anthropometric and biochemical parameters were measured in all subjects. Calculation of atherogenic index of plasma (AIP) by traditional lipid parameters.

Results

The AIP (P = 0.008) level and the percentage of AIP ≥ 0.24 (P = 0.026) in subjects with KPT2D were higher than in subjects with T2D. The apoA1 (P = 0.001) levels were significantly lower in patients with KPT2D than in patients with T2D. In the KPT2D group, plasma ketones were positively correlated with AIP (P = 0.023) and negatively correlated with apoA1 (P = 0.002). Univariate logistic regression suggested that plasma ketone (OR = 1.704, P = 0.040) was an important related factor for the AS in subjects with KPT2D. Multiple linear regression suggested plasma ketone was significantly positive with AIP (β = 0.437, P = 0.020). In multiple linear regression analysis suggests that apolipoprotein A1 (β = -0.335, P = 0.033) is strongly associated with ketotic episodes in newly diagnosed ketosis-prone type 2 diabetic patients.

Conclusion

Ketosis episodes in patients with KPT2D were significantly and positively associated with elevated AIP levels and reduced apoA1 levels. Frequent ketosis episodes may accelerate the progression of AS.

Neutrophil/high-density lipoprotein cholesterol (HDL), monocyte/HDL and platelet/HDL ratios are increased in acute mania as markers of inflammation, even after controlling for confounding factors

OBJECTIVE

Recent studies show that inflammation is related to the pathogenesis of acute mania of bipolar disorder. Neutrophil/high-density lipoprotein (HDL) ratio (NHR), lymphocyte/HDL ratio (LHR), monocyte/HDL ratio (MHR) and platelet/HDL ratio (PHR) have recently been investigated as novel markers of inflammation. In addition, the atherogenic index of plasma (AIP) and atherogenic coefficient (AC) are the leading atherogenic indices. The study aimed to investigate these inflammation and atherogenic index markers in acute mania of bipolar disorder. Another aim was to determine whether there is a relationship between these markers and disease severity and psychotic symptoms.

METHODS

A total of 109 BD-M and 101 (HC) were enrolled in the study. The differences in NHR, LHR, MHR, PHR, AIP and AC and their association with illness severity and psychotic symptoms were analyzed after adjusting for age, sex, total cholesterol level, body-mass index and smoking status. Then, a receiver operating characteristic (ROC) curve and linear discriminant analysis (LDA) were used to analyze these parameters' diagnostic potential. Moreover, the Young Mania Rating Scale (YMRS) and Clinical Global Impression Scale for use in bipolar illness-Severity subscale (CGI-BP-S) were used to assess the severity of clinical symptoms.

RESULTS

We found higher levels of NHR, MHR, PHR and AIP, but not LHR and AC, after adjusting confounding factors in patients with BD-M compared to HCs. In logistic regression analysis, higher levels of MHR and NHR were associated with BD-M. MHR, NHR and PHR were predictors for differentiating the BD-M group from the HC group. However, the severity of the illness or the psychotic feature of the manic episode did not significantly affect the parameters. In the ROC curve analysis of BD-M, the indicators with an area under the curve (AUC) higher than 0.6 were the MHR, NHR, PHR and LHR.

CONCLUSIONS

These results provide information about the role of inflammation in the pathophysiology of BD-M. Even after controlling for confounding factors, MHR, NHR, PHR and AIP are potential biomarkers for BD-M. Moreover, the increase in AIP may explain the co-morbidity between BD and cardiovascular diseases. However, the severity of the illness or the psychotic feature of the manic episode did not significantly affect the levels of inflammation ratios used in our study. Due to the low cost and widespread use of lipid metabolism and related inflammation rates, it may be beneficial to know the MHR, NHR, PHR and AIP levels in BD-M patients.

The Triglyceride-Glucose Index Might Be a Better Indicator for Predicting Poor Cardiovascular Outcomes in Chronic Coronary Syndrome

This study aimed to explore the potential association between the triglyceride-glucose index (TyG) and the atherogenic index of plasma (AIP)-both considered surrogate markers for atherosclerosis-and major adverse cardiovascular events (MACEs) in patients diagnosed with chronic coronary syndrome (CCS). We conducted a retrospective analysis, encompassing 715 consecutive patients with intermediate CCS risk, who presented at the outpatient clinic between June 2020 and August 2022. MACEs included non-fatal myocardial infarction, hospitalization for heart failure, cerebrovascular events, non-cardiac mortality, and cardiac mortality. The primary outcome was the composite occurrence of MACEs during the follow-up period. For time-to-event analysis of the primary outcome, we employed Kaplan-Meier plots and Cox proportional hazard models. The median age of the overall study population was 55 years, with a median follow-up duration of 17 months. Multivariate Cox regression analysis identified age, hypertension, Coronary Artery Disease-Reporting and Data System score, and TyG index as independent predictors of the primary outcome. Notably, individuals with high TyG levels exhibited a significantly higher primary outcome rate compared to those with low TyG levels (18.7% vs. 3.8%, p < 0.001). Similarly, patients with elevated TyG values demonstrated statistically higher rates of cerebrovascular events, hospitalizations for heart failure, non-fatal myocardial infarctions, non-cardiac mortality, and cardiac mortality. These findings suggest that TyG may serve as a predictive marker for adverse cardiovascular outcomes in patients with CCS.

Thyroid Hormones and Cardiometabolic Risk Factors in Saudi Women with Polycystic Ovary Syndrome: A Cross-Sectional Study

Objective

The PCOS-thyroid nexus has recently drawn the focus of various investigations due to the prevalence of thyroid problems in PCOS. Additionally, risk factors for cardiovascular disease (CVD) are more prevalent in PCOS women. Therefore, we aim to assess the levels of thyroid hormones in Saudi females with polycystic ovary syndrome (PCOS) and to examine the correlation between cardiometabolic risk factors (CMRFs) and thyroid hormones in PCOS patients.

Methods

A cross-sectional research with 200 PCOS-diagnosed female patients was conducted from April 2018 to April 2020. In addition to other anthropometric and serum biochemical markers, glycemic status, thyroid function test, lipid profiles, homocysteine, and C-reactive protein levels were detected in patients.

Results

In PCOS, hypothyroidism is more common than hyperthyroidism (55 vs 27.5%, p = 0.05). While women with raised TSH (hypothyroidism) had a higher BMI, WC, FBG, and poorer HDL-C (p< 0.05). Significant differences were found in LDL-C, TG, Homocysteine, and CRP levels (all p<0.001 and< 0.05). PCOS women with hypothyroidism at increased risk of CVD, as indicated by AIP (Atherogenic Index of plasma) (0.57±0.42) was found. The elevated TSH levels were favorably linked with TG, Homocysteine, CRP, BMI, AIP, and WC (all p< 0.001, 0.05) but negatively connected with HDL-C and FT4.

Conclusion

A strong relationship between PCOS and thyroid dysfunction was detected since PCOS hypothyroid groups had higher TSH levels and CMRFs. This group's CVD risk was elevated due to CRP, homocysteine, triglycerides, and obesity.

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.

Association of Atherogenic Index of Plasma with Cardiometabolic Risk Factors and Markers in Lean 14-to-20-Year-Old Individuals: A Cross-Sectional Study

Cardiometabolic risk factors at a young age pose a significant risk for developing atherosclerotic cardiovascular disease in adulthood. Atherogenic dyslipidemia is highly associated with obesity and metabolic syndrome already in young age. It remains unclear whether cardiometabolic risk factors associate with the atherogenic index of plasma (AIP = log (TAG/HDL-C) in lean subjects with low atherogenic risk. As both the AIP and markers of cardiometabolic risk are continuous variables, we expected their association to be linear before the manifestation of obesity and atherogenic dyslipidemia. We analyzed the prevalence of increased atherogenic risk (AIP ≥ 0.11) in 2012 lean 14-to-20-year-old subjects (55% females) and the trends of cardiometabolic risk factors across the quartiles (Q) of AIP in a subgroup of 1947 (56% females) subjects with low atherogenic risk (AIP < 0.11). The prevalence of AIP ≥ 0.11 reached 3.6% in females and 8.5% in males. HDL-C, non-HDL-C, triglycerides, and the continuous metabolic syndrome score showed a stepwise worsening across the AIP quartiles in both sexes. Measures of obesity and insulin resistance were worse in Q4 vs. Q1 groups, and leukocyte counts were higher in Q4 and Q3 vs. Q1. Females in Q4 presented with a higher C-reactive protein and lower adiponectin, estradiol, and testosterone levels. The multivariate regression model selected non-HDL-C, QUICKI, and erythrocyte counts as significant predictors of AIP in males; and non-HDL-C and C-reactive protein in females. A question arises whether the lean individuals on the upper edge of low atherogenic risk are prone to earlier manifestation of metabolic syndrome and shift to the higher AIP risk group.

The atherogenic index of plasma (AIP) is a predictor for the severity of coronary artery disease

Objective

Dyslipidemia is a key risk factor for coronary artery disease (CAD). This study aimed to investigate the correlation between the atherogenic index of plasma (AIP) and the severity of CAD.

Methods

2,491 patients were enrolled in this study and analyzed retrospectively, including 665 non-CAD patients as the control group and 1,826 CAD patients. The CAD patients were classified into three subgroups according to tertiles of SYNTAX score (SS). Non-high-density lipoprotein cholesterol (Non-HDL-C) was defined as serum total cholesterol (TC) minus serum high-density lipoprotein cholesterol (Non-HDL-C), atherogenic index (AI) was defined as the ratio of non-HDL-C to HDL-C; AIP was defined as the logarithm of the ratio of the concentration of triglyceride (TG) to HDL-C; lipoprotein combine index (LCI) was defined as the ratio of TC∗TG∗ low-density lipoprotein cholesterol (LDL)to HDL-C; Castelli Risk Index I (CRI I) was defined as the ratio of TC to HDL-C; Castelli Risk Index II (CRI II) was defined as the ratio of LDL-C to HDL-C.

Results

The levels of AIP (P < 0.001), AI (P < 0.001), and LCI (P = 0.013) were higher in the CAD group compared with the non-CAD group. The Spearman correlation analysis showed that AIP (r = 0.075, P < 0.001), AI (r = 0.132, P < 0.001), and LCI (r = 0.072, P = 0.001) were positively correlated with SS. The multivariate logistic regression model showed CRI I (OR: 1.11, 95% CI: 1.03-1.19, P = 0.005), CRI II (OR: 1.26, 95% CI: 1.15-1.39, P < 0.001), AI (OR: 1.28, 95% CI: 1.17-1.40, P < 0.001), AIP (OR: 2.06, 95% CI: 1.38-3.07, P < 0.001), and LCI (OR: 1.01, 95% CI: 1.01-1.02, P < 0.001) were independent predictors of severity of CAD After adjusting various confounders.

Conclusion

CRI I, CRI II, AIP, AI, and LCI were independent predictors of the severity of CAD, which could be used as a biomarker for the evaluation of the severity of CAD.

The Relationship of Plasma Aterogenity Index and Mean Platelet Volume with the Risk of Development of 1-Year Total Major Adverse Cardiac Event in Patients with Non-ST Elevation Myocardial Infarction

In our study, we aimed to reveal the role of plasma atherogenicity index and mean platelet volume in predicting the risk of developing a 1-year major adverse cardiac event (MACE) in patients with non-ST elevation myocardial infarction (NSTEMI). This study, which was planned from the retrospective cross-sectional study model, was performed with 100 patients diagnosed with NSTEMI and scheduled for coronary angiography. The laboratory values of the patients were evaluated, the atherogenicity index of plasma was calculated, and the 1-year MACE status was evaluated. In total, 79 of the patients were male and 21 were female. The average age is 60.8 years. At the end of the first year, the MACE improvement rate was found to be 29%. The PAI value was below 0.11 in 39% of the patients, between 0.11 and 0.21 in 14%, and above 0.21 in 47%. The 1-year MACE development rate was found to be significantly higher in diabetic patients and patients with hyperlipidemia. Lymphocyte count and triglyceride values of the patients in the high-risk group of atherogenic index of plasma (AIP) were found to be higher than the patients in the low-risk group. The neutrophil/lymphocyte, thrombocyte/lymphocyte ratios and high-density lipoprotein values of the patients in the high-risk group of AIP were found to be lower than those in the low-risk group. The rate of MACE development was found to be significantly higher in patients in the high-risk group of AIP ( p  = 0.02). No correlation was found between the mean platelet volume and the MACE development status. While no significant relationship was found between MPV and MACE in NSTEMI patients, AIP, which includes atherogenic parameters, was found to be correlated with MACE.

Predictive value of atherogenic index of plasma and atherogenic index of plasma combined with low-density lipoprotein cholesterol for the risk of acute myocardial infarction

Background and aims

Acute myocardial infarction (AMI) is a prevalent medical condition associated with significant morbidity and mortality rates. The principal underlying factor leading to myocardial infarction is atherosclerosis, with dyslipidemia being a key risk factor. Nonetheless, relying solely on a single lipid level is insufficient for accurately predicting the onset and progression of AMI. The present investigation aims to assess established clinical indicators in China, to identify practical, precise, and effective tools for predicting AMI.

Methods

The study enrolled 267 patients diagnosed with acute myocardial infarction as the experimental group, while the control group consisted of 73 hospitalized patients with normal coronary angiography. The investigators collected general clinical data and relevant laboratory test results and computed the Atherogenic Index of Plasma (AIP) for each participant. Using acute myocardial infarction status as the dependent variable and controlling for confounding factors such as smoking history, fasting plasma glucose (FPG), low-density lipoprotein cholesterol (LDL-C), blood pressure at admission, and diabetes history, the researchers conducted multivariate logistic regression analysis with AIP as an independent variable. Receiver operating characteristic (ROC) curves were employed to determine the predictive value of AIP and AIP combined with LDL-C for acute myocardial infarction.

Result

The results of the multivariate logistic regression analysis indicated that the AIP was an independent predictor of acute myocardial infarction. The optimal cut-off value for AIP to predict AMI was -0.06142, with a sensitivity of 81.3%, a specificity of 65.8%, and an area under the curve (AUC) of 0.801 (95% confidence interval [CI]: 0.743-0.859, P < 0.001). When AIP was combined with LDL-C, the best cut-off value for predicting acute myocardial infarction was 0.756107, with a sensitivity of 79%, a specificity of 74%, and an AUC of 0.819 (95% CI: 0.759-0.879, P < 0.001).

Conclusions

The AIP is considered an autonomous determinant of risk for AMI. Utilizing the AIP index alone, as well as in conjunction with LDL-C, can serve as effective predictors of AMI.

Predictive Value of Resting Fractional Flow Reserve and Atherogenic Index of Plasma for Evaluation of Physiologically Significant Coronary Artery Lesions

This study aimed to assess the relationship between the atherogenic index of plasma (AIP) and resting distal-to-aortic pressure ratio (Pd/Pa) in patients with intermediate coronary artery stenosis. This retrospective study included 802 chronic coronary syndrome patients with intermediate coronary artery stenosis who underwent fractional flow reserve (FFR) measurement. The resting Pd/Pa showed a significant negative correlation with AIP (rho= -.205, p < .001). When final FFR was divided into three tertiles (≤80, 81-89, ≥90), resting Pd/Pa was significantly lower, and AIP was markedly higher in the lower final FFR tertiles (both AIP and resting Pd/Pa differed significantly across the all three tertiles, p < .001). Furthermore, functionally significant stenosis independent predictors in multivariate analyses were AIP and resting Pd/Pa (p = .010 and p < .001, respectively). We observed for the first time an increase in AIP levels in the presence of functionally significant stenoses that may help better planning and identification of those patients with the functionally substantial atherosclerotic burden.

Association of plant-based diets with adropin, atherogenic index of plasma, and metabolic syndrome and its components: A cross-sectional study on adults

Background

Little is known about the association of plant-based diet indices with metabolic syndrome (MetS) and its novel predictive biomarkers, including the atherogenic index of plasma (AIP) and adropin. We aimed to investigate the association of plant-based diets with adropin, atherogenic index of plasma, and MetS and its components in adults.

Methods

The present population-based cross-sectional study was conducted on a representative sample of adults aged 20-60 years in Isfahan, Iran. Dietary intake was obtained through a validated 168-item semi-quantitative food frequency questionnaire (FFQ). Peripheral blood was obtained after an overnight fast of at least 12 h from each participant. MetS was identified based on the Joint Interim Statement (JIS). AIP was calculated as a logarithmically transformed ratio of triglyceride (TG)/high-density lipoprotein cholesterol (HDL-c), and serum levels of adropin were measured by an ELISA kit.

Results

A total of 28.7% of subjects had MetS. No significant association was found between the overall plant-based diet index (PDI) and the healthful plant-based diet index (hPDI) with MetS. However, a non-linear association was observed between hPDI and MetS. Subjects in the third quartile of the unhealthful plant-based diet index (uPDI) had higher odds of MetS compared to the first quartile (OR: 2.39; 95% CI: 1.01, 5.66). The highest quartile of PDI (OR: 0.46; 95% CI: 0.21, 0.97) and the third quartile of hPDI (OR: 0.40; 95% CI: 0.18, 0.89) were associated with decreased odds of having high-risk AIP compared to the first quartile, after adjusting for potential confounders. No linear association was found between quartiles of plant-based diet indices and serum levels of adropin.

Conclusion

Plant-based diet index (PDI) and hPDI were not associated with the prevalence of MetS in adults, while moderate adherence to uPDI increased the prevalence of MetS. In addition, high adherence to PDI and moderate adherence to hPDI were associated with decreased odds of high-risk AIP. No significant association was found between plant-based diet indices and serum adropin levels. To confirm these findings, further studies with prospective designs are warranted.

Effect of long-chain omega-3 polyunsaturated fatty acids on cardiometabolic factors in children with acute lymphoblastic leukemia undergoing treatment: a secondary analysis of a randomized controlled trial

Introduction

Increased triglycerides (TGs) are a major risk factor for cardiovascular disease. Furthermore, hypertriglyceridemia is commonly associated with a reduction of high-density lipoprotein cholesterol (HDL-C) and an increase in atherogenic small-dense low-density lipoprotein (LDL-C) levels. Studies provide support that polyunsaturated omega-3 fatty acids (ω3-LCPUFAs) are cardioprotective and have antithrombotic and anti-inflammatory effects. The potential effects of ω3-LCPUFAs on cardiometabolic factors and anti-inflammatory actions in children with acute lymphoblastic leukemia (ALL) are limited. This is a secondary analysis of a previous clinical trial registered at clinical trials.gov (# NCT01051154) that was conducted to analyze the effect of ω3-LCPUFAs in pediatric patients with ALL who were receiving treatment.Objective: To examine the effect of supplementation with ω3-LCPUFAs on cardiometabolic factors in children with ALL undergoing treatment.

Methods

Thirty-four children (placebo group: 20 patients; ω3-LCPUFAs group: 14 patients) aged 6.7 ± 2.7 years who were newly diagnosed with ALL were evaluated. Children were randomized to receive either ω3-LCPUFAs or placebo capsules (sunflower oil). ω3-LCPUFAs were administered in the form of 500-mg soft capsules. The ω3-LCPUFA capsules contained 225 mg of DHA, 45 mg of EPA, and 20 mg of another ω3-LCPUFAs. The omega-3 dose was administered at a rate of 0.100 g/kg of body weight/day for three months. Main outcomes: Fasting cholesterol, HDL-C, very-low-density lipoprotein (VLDL-C), TGs, atherogenic index of plasma (AIP), android/gynoid ratio (A/GR), IL-6, TNF-α, and percentage of fat mass (DXA) were measured in all patients. Fatty acid analyses in red blood cells were performed with gas chromatography.

Results

We found significantly lower levels of TGs (p=0.043), VLDL-C (p=0.039), IL-6 (p=0.025), and AIP (p=0.042) in the ω3-LCPUFAs group than in the placebo group at three months. In contrast, the total cholesterol concentration was higher at 3 months in the ω3-LCPUFAs group than in the placebo group (155 mg/dl vs. 129 mg/dl, p=0.009). The number of children with hypertriglyceridemia (85% vs. 50%; p=0.054) tended to be lower between the time of diagnosis and after 3 months of supplementation with ω3-LCPUFAs.

Conclusion

These findings support the use of ω3-LCPUFAs to reduce some adverse cardiometabolic and inflammatory risk factors in children with ALL.

Clinical trial registration

ClinicalTrials.gov, identifier NCT01051154.

Association Between Vitamin D Levels and the Atherogenic Index of Plasma Among Chinese with Type 2 Diabetes Mellitus

PURPOSE

The relationship between atherogenic index of plasma (AIP) values and 25-hydroxyvitamin D (25[OH] D) was examined in type 2 diabetes mellitus (T2DM).

PATIENTS AND METHODS

Six hundred and ninety-eight T2DM patients were included. Patients were allocated to two groups, namely, the vitamin D-deficient and non-deficient groups (threshold of 20 ng/mL). The AIP was determined as log (TG [mmol/L] / HDL-C [mmol/L]). The patients were then allocated to two further groups according to the median AIP value.

RESULTS

AIP level in the vitamin D-deficient group was significantly higher than that in non-deficient group (P<0.05). Patients with high AIP values had markedly reduced levels of vitamin D levels compared with those in the low-AIP group [15.89 (11.97, 20.29) VS 18.22 (13.89, 23.08), P<0.001]. Patients in the high AIP group had a higher rate of vitamin D deficiency (73.3% VS 60.6%). It was found that AIP values were adversely and independently correlated with vitamin D levels. The AIP value was shown to independently predict vitamin D deficiency risk in T2DM patients.

CONCLUSION

Patients with T2DM were shown to have an increased risk of vitamin D insufficiency when their AIP levels were low. This suggests that AIP is associated with vitamin D insufficiency in Chinese patients with type 2 diabetes.

An Inverse Correlation between the Atherogenic Index of Plasma and Heart Failure: An Analysis of the National Health and Nutrition Examination Survey 2017-March 2020 Pre-Pandemic Data

Aims: The atherogenic index of plasma (AIP) is associated with cardiovascular diseases. Nevertheless, limited studies have investigated the association between AIP and the risk of heart failure (HF) in the general population. This study aimed to explore the association between AIP and HF risk using a large-scale population dataset from the National Health and Nutrition Examination Survey (NHANES) 2017−March 2020 Pre-pandemic data. Methods: A total of 5598 individuals were included in the analysis of the association between AIP and HF from the NHANES database. The relationship between AIP and HF was examined using multivariate logistic regression and smooth curve fitting. An association between the two was detected based on the odds ratios (ORs) and 95% confidence intervals (CIs). Results: The overall prevalence of HF among the 5598 participants analyzed was 3.21%. Compared with individuals in the lowest quartile of AIP, participants in the higher quartiles showed a significantly reduced probability of HF. Smooth curve fitting analysis revealed a linear association between AIP and HF. Compared with individuals in Q1 of the AIP, participants in Q2 (OR = 0.38, 95% CI = 0.2−0.72, p = 0.0033), Q3 (OR = 0.24, 95% CI = 0.12−0.48, p < 0.0001), and Q4 (OR = 0.32, 95% CI = 0.14−0.74, p = 0.0075) had a significantly decreased risk of HF after adjusting for other risk factors. Analysis of subgroup strata revealed that AIP may interact with age and statin use (p for interaction = 0.012 and 0.0022, respectively). Conclusion: Our results suggest that a high AIP value is negatively correlated with HF prevalence. The AIP may be an effective method for identifying individuals at a high risk of HF.

The Relationship between Atherogenic Index of Plasma and Obesity among Adults in Taiwan

Atherogenic index of plasma (AIP), a novel biomarker, is associated with cardiovascular diseases and obesity. The main aim of this study was to investigate the relationship between AIP and obesity among Taiwanese hospital employees. A total of 1312 subjects with an average age of 42.39 years were enrolled in this cross-sectional study. AIP was calculated as log10 (TG/HDL-C). All subjects were divided into three groups according to AIP tertiles. Chi-square test, independent t-test and one-way ANOVA were used to compare the demographic and clinical lab characteristics of the three groups. Multivariate logistic regression analysis was used to assess the relationship between AIP and obesity. The results showed that subjects with obesity or with high AIP levels exhibited significant differences in systolic blood pressure, diastolic blood pressure, waist circumference, alanine aminotransferase, fasting plasma glucose, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, triglycerides and prevalence of diabetes mellitus, hypertension, hyperlipidemia and metabolic syndrome. In addition, age and total cholesterol were increased in the high AIP group. Increased AIP levels were strongly associated with obesity.

Atherogenic Index of Plasma is an Independent Risk Factor for Contrast Induced Nephropathy in Patients With Non-ST Elevation Myocardial Infarction

This study investigated the role of atherogenic index of plasma (AIP) in predicting contrast induced nephropathy (CIN) in patients who underwent percutaneous coronary intervention due to non-ST elevated myocardial infarction. Of these, 1644 patients were included in the study. Retrospective data of patients were obtained from hospital records. For the diagnosis of CIN, peri-procedural patient records were scanned. There was a significant difference between age, diabetes mellitus, hyperlipidemia, albumin, high density lipoprotein cholesterol, triglycerides, number of stenotic vessels, creatinine increase rate, baseline creatinine, hemoglobin, hematocrit, AIP, and two groups (CIN- and CIN+) (P < .05, for all). In multivariate logistic regression analysis, AIP was an independent predictor of CIN (odds ratio: 20.352, 95% CI: 12.696-32.624, P < .001). Receiver operating characteristic analysis showed that AIP values of ≥.62 could predict CIN with a sensitivity of 70% and specificity of 58% for predicting CIN (area under curve = .710, P < .001). Atherogenic index of plasma may be helpful as a biomarker to predict CIN.

Association of Atherogenic Index of Plasma With Retinopathy and Nephropathy in Adult Patients With Type 2 Diabetes Mellitus Aged > 18 Years

OBJECTIVES

In this study we assessed the atherogenic index of plasma (AIP) in relation to retinopathy and nephropathy in patients with type 2 diabetes mellitus (T2DM).

METHODS

In this cross-sectional study there were 4,358 inpatients with T2DM. The patients were divided into 4 groups: T2DM without complications (DM group), T2DM complicated with retinopathy alone and nephropathy alone (DR-alone and DN-alone groups) and T2DM complicated with both DR and DN (DRN group). AIP was calculated by the formula of log [triglyceride / high-density lipoprotein cholesterol].

RESULTS

AIPs in the DR-alone, DN-alone and DRN groups were significantly higher than in the DM group, with the DRN group having the highest AIP level. Moreover, patients with proliferative DR had higher AIPs than patients with nonproliferative DR in the DR-alone and DRN groups, and patients with macroalbuminuria had higher AIPs than patients with microalbuminuria in DN-alone and DRN groups. The highest AIP quartile group had the highest proportion of DRN compared with the other quartile groups. The DRN group had a maximal area under the curve (AUC) for AIP on receiver operating characteristic curve analysis (AUC=0.735). In the subgroup analyses by age, the AUCs of patients <65 years of age were all greater than those of patients ≥65 years of age. Logistic regression analysis showed that AIP had the highest correlation with age <65 years in individuals with DRN, and this association remained significant after adjustment with 3 models.

CONCLUSIONS

AIP is positively associated with both occurrence and severity of diabetic microvascular complications. It can predict their presence in T2DM, especially in those <65 years of age with DRN.

Atherogenic Risk, Anthropometry, Diet and Physical Activity in a Sample of Spanish Commercial Airline Pilots

Cardiovascular accidents are the most disabling event for pilots, causing complicated situations during flight and the withdrawal of license. The study aims to assess the modifiable risk factors and the atherogenic index of plasma (AIP) associated with anthropometric, physiometabolic and lifestyle profiles in a sample of Spanish aviation pilots. Data from pilots’ clinical and professional history, anthropometric and bioelectrical impedance assessments of nutritional status, and diet and physical activity questionnaires. The sample comprised 304 men pilots. Up to 53.6% showed excess weight, of which 6.4% were obese, 64.3% presented high relative adiposity and 64.6% showed abdominal obesity. Regarding the physiometabolic profile, 10.0% had hypertension, 42.6% hypercholesterolemia, 9.4% high LDL and 10.6% low HDL, 9.4% hyperglycemia and 8.1% hypertriglyceridemia. The adherence to the Mediterranean diet (MedDiet) was high in 29.7% and low in 14.7%. Most of the sample showed a good physical activity level. The AIP risk increased with higher obesity indicators and LDL cholesterol levels. There was an inverse relationship between the MedDiet adherence and vigorous physical activity and the risk of atherogenicity. Elevated rates of overweight, abdominal obesity and hypercholesterolemia were found, contributing to the atherogenic risk of plasma (AIP). This parameter was significantly associated with all anthropometric indicators and LDL cholesterol. Prevention plans on reducing excess fat and blood cholesterol levels are recommended to reduce cardiovascular risk in Spanish aviation pilots and ensure flight safety.

Association of Atherogenic Index of Plasma With Angiographic Progression in Patients With Suspected Coronary Artery Disease

The present study aimed to explore the correlation of atherogenic index of plasma (AIP) with angiographic progression of coronary artery disease (CAD). AIP was defined as the base 10 logarithm of the ratio of the triglyceride to high-density lipoprotein cholesterol concentration. The extent of coronary lesion was assessed by the Gensini Score (GS) system and angiographic progression was defined as the GS rate of change per year >1 point. A total of 896 patients with suspected CAD who underwent coronary computed tomography angiography twice at intervals of >6 months were included. Baseline AIP was positively correlated with remnant cholesterol (r = .644, P < .001). When patients were assigned into four groups according to baseline AIP quartiles, the incidence of CAD progression significantly increased across the quartiles of AIP (Q1 [lowest]: 23.7 vs Q2: 29.9 vs Q3: 33.9 vs Q4 [highest]: 34.8%; P = .042). After multivariate adjustment, the odds ratio for CAD progression was 1.89 when comparing the highest to the lowest quartile of AIP (95% confidence interval: 1.18-3.02; P = .008). Therefore, AIP was independently correlated with angiographic progression of CAD beyond conventional risk factors, suggesting that AIP may play a role in early risk stratification as a simple surrogate of residual risk.

Atherogenic Index of Plasma and Coronary Artery Disease in the Adult Population: A Meta-Analysis

Background: The atherogenic index of plasma (AIP), which is the logarithm of the ratio between the triglyceride and high-density lipoprotein cholesterol (TG/HDL-C) concentrations in molar units, is correlated with the burden of atherosclerosis. This study aimed to evaluate the association between the AIP and coronary artery disease (CAD) in the adult population by performing a meta-analysis. Methods: Observational studies relevant for this meta-analysis were identified by searching the PubMed, Embase, and Web of Science databases. Only studies using multivariate analysis were considered. A random-effects model, which incorporates potential intra-study heterogeneity, was applied to combine the results. Results: Ten observational studies were included. In studies with the AIP analyzed as a continuous variable, a higher AIP was associated with a higher odds of CAD (adjusted risk ratio [RR] per 1-standard deviation [SD] increment of AIP: 2.10, 95% confidence interval [CI]: 1.51-2.93, P < 0.001, I² = 90%). Further analysis of studies with the AIP analyzed as a categorical variable showed a higher odds of CAD (adjusted RR: 2.35, 95% CI: 1.88-2.93, P < 0.001, I² = 37%) in the participants with the highest versus the lowest AIP value. Subgroup analyses demonstrated consistent results in asymptomatic and symptomatic populations as well as in male and female participants (all between-group P values > 0.05). Discussion: Current evidence, mostly from cross-sectional studies, suggests that a higher AIP value may be independently associated with CAD in the adult population.

Association between the atherogenic index of plasma and new-onset non-alcoholic fatty liver disease in non-obese participants

INTRODUCTION

Non-alcoholic fatty liver disease (NAFLD) in the non-obese population accounts for a large proportion of NAFLD. Atherogenic index of plasma (AIP, defined as the logarithm of the triglyceride/high-density lipoprotein cholesterol ratio.) can provide a stronger reflection of dyslipidemia and studies on the longitudinal association between AIP and NAFLD were limited in non-obese participants, especially in different BMI groups.

METHODS

We performed a post-hoc analysis of data obtained from the Dryad data repository (Dryad is a nonprofit open database of medicine.) and explored the predictive value of AIP on the risk of NAFLD among non-obese participants.

RESULTS

This study included 16173 participants with AIP, of which 2322(14.4%) non-obese participants developed into individuals with NAFLD with the 5-year follow-up examination. The difference between AIP quartiles in the cumulative estimation of new-onset NAFLD was significant, and with increased AIP, the cumulative new-onset NAFLD gradually increased. Participants in higher AIP quartiles had a significantly increased risk of NAFLD. In the fully adjusted model 3, hazard ratios of the new-onset NAFLD for subjects in Q2, Q3, and Q4 of AIP were 2.00 (1.59, 2.53), 2.61 (2.09, 3.72), and 4.49 (3.62, 5.57) respectively. Meanwhile, the trend test for the association between AIP quartiles and the new-onset NAFLD presented that AIP quartile was positively and strongly associated with the new-onset NAFLD (adjusted hazard ratio (95%CI) in Model 3: 1.59 (1.51, 1.67), P<0.001). We found that AIP was also positively and strongly associated with new-onset NAFLD in different sex groups and different age groups in female patients. Moreover, the predictive ability of AIP was no significant difference in different sex groups and different age groups in female patients. In the subgroup analysis, we found that in the low BMI population, the predictive effect of AIP for new-onset NAFLD was expanded by 2-3 times for each quality increase of AIP.

CONCLUSION

This study found that AIP was a strong independent risk factor for new-onset NAFLD among non-obese individuals especially in the low BMI participants, and screening for AIP in this population can be used to prevent future NAFLD.

A Cross-Sectional Study of the Correlation Between the Atherogenic Index of Plasma and Nonalcoholic Fatty Liver Disease in Patients with Type 2 Diabetes

PURPOSE

The main objective of this study was to examine the possible association between the atherogenic index of plasma (AIP) and the prevalence of nonalcoholic fatty liver disease (NAFLD) in Chinese individuals with type 2 diabetes mellitus (T2DM).

PATIENTS AND METHODS

In this survey, data from 1074 patients with T2DM were retrospectively extracted. The correlations between each variable and NAFLD were determined by univariate analysis, and then, the statistically significant variables were evaluated for their association with AIP and NAFLD by multivariate regression analysis.

RESULTS

AIP levels were significantly higher in all males and females with NAFLD than those without NAFLD (p<0.001). The prevalence of NAFLD increased progressively throughout the AIP quartiles (trend P < 0.001) and accounted for possible variables in Model 3 of the multivariate logistic regression analysis (OR: 2244.984). In terms of sensitivity and specificity, the AIP index was found to be 65.0% and 90.1% accurate, respectively, with a 95% CI of 0.804-0.893. According to a stratified analysis, females, patients over the age of 56 and current nonsmokers were found to have a higher chance of developing NAFLD.

CONCLUSION

T2DM individuals with NAFLD were found to have a higher AIP index than those without NAFLD. The prevalence and progression of NAFLD in T2DM patients may be influenced by the AIP index.

Atherogenic Index of Plasma Predicts Outcomes in Acute Ischemic Stroke

Aim: The atherogenic index of plasma (AIP) was significantly related to adverse outcomes in patients with cardiovascular disease. Our aim was to investigate the association between AIP and adverse outcomes in acute ischemic stroke.

Methods: Patients with acute ischemic stroke (AIS) admitted between 2015 and 2018 were prospectively enrolled in this study. Functional outcomes were evaluated by the modified Rankin Scale (mRS). Poor outcomes were defined as mRS 3–6. The relationship of AIP with the risk of outcomes was analyzed by multivariate logistic regression models.

Results: A total of 1,463 patients with AIS within 24 h of symptom onset were enrolled. The poor outcome group had a significantly higher level of AIP [0.09 (−0.10 to 0.27) vs. 0.04 (−0.09 to 0.18), p < 0.001] compared with the good outcome group. Multivariable logistic regression analysis showed that higher AIP was associated with poor outcomes in all the stroke patients (OR 1.84, 95% CI, 1.23–2.53, p = 0.007), which was more evident in patients with large-artery atherosclerosis subtype (OR 1.90, 95% CI, 1.53–2.62, p = 0.002), but not in the other subtypes. Receiver operating curve (ROC) analysis revealed that the best predictive cutoff value of AIP was 0.112, with a sensitivity of 70.8% and a specificity of 59.2%, and the area under the ROC curves for AIP was 0.685.

Conclusion: AIP may be an important and independent predictor of the outcome of dysfunction in patients with AIS, especially the stroke subtype of large-artery atherosclerosis.

The Plasma Atherogenic Index is an Independent Predictor of Arterial Stiffness in Healthy Koreans

The plasma atherogenic index (AIP) has been suggested as a useful independent predictor of cardiovascular diseases (CVDs) in high CV risk patients. We investigated the association between AIP and arterial stiffness measured by brachial-ankle pulse wave velocity (baPWV) in healthy adults. A total of 3468 healthy subjects without any metabolic or CV diseases were enrolled. Anthropometric and CV risk factors were measured. The AIP was defined as the base 10 logarithm of the ratio of the concentration of triglycerides to high-density lipoprotein-cholesterol. Subjects were classified into AIP quartiles. There were gradual deteriorations in metabolic parameters and increase in baPWV across the increasing AIP quartiles. In a fully adjusted analysis, compared with Q1 (lowest quartile) group, the odds ratio (95% confidence interval) for increased baPWV was higher in Q2 1.51, Q3 1.64, and Q4 (highest quartile) 2.77 among men, and Q2 1.09, Q3 1.55, and Q4 1.83 among women (all P trend  <0 .05). There was a strong association between AIP and baPWV, and a higher AIP was an independent predictor of increased arterial stiffness in healthy Korean men and women. The AIP may be a simple screening tool for subclinical atherosclerosis.

Predictive Value of the Atherogenic Index of Plasma (AIP) for the Risk of Incident Ischemic Heart Disease among Non-Diabetic Koreans

The atherogenic index of plasma (AIP), composed of triglycerides and high-density lipoprotein cholesterol, is a novel critical marker for assessing the risk of atherogenicity and cardiometabolic health. We aimed to prospectively study the association between AIP and incident ischemic heart disease (IHD) risk in a large cohort of non-diabetic Korean adults. Data were assessed from 17,944 participants without diabetes from the Health Risk Assessment Study (HERAS) and Korea Health Insurance Review and Assessment (HIRA) data. The participants were divided into four groups according to AIP quartiles, calculated as log (triglyceride/high-density lipoprotein cholesterol). We prospectively assessed hazard ratios (HRs) with 95% confidence intervals (CIs) for IHD using multivariate Cox proportional-hazard regression models over a 50-month period that followed the baseline survey. During the follow-up period, 332 participants (1.9%) developed IHD. HRs of IHD for AIP quartiles 2-4 were 1.58 (95% CI, 1.03-2.43), 1.82 (95% CI, 1.20-2.78), and 2.11 (95% CI, 1.37-3.24) after adjusting for age, sex, body mass index, smoking status, alcohol intake, physical activity, mean arterial blood pressure, fasting plasma glucose, high-sensitivity C-reactive protein level, and hypertension medication. Higher AIP levels may precede and predict the development of IHD in non-diabetic Korean adults.

Elevated Serum Levels of Ischemia Modified Albumin and Malondialdehyde are Related to Atherogenic Index of Plasma in a Cohort of Prediabetes

BACKGROUND

Prediabetes, defined as impaired glucose tolerance and/or impaired fasting glucose, is a risk factor for future type 2 diabetes, dyslipidemia, cardiovascular disease and all-cause mortality. High serum levels of ischemia modified albumin (IMA) and malondialdehyde (MDA) as oxidative stress markers were determined in diabetes, however, no studies have investigated these markers together in prediabetes. The aim of the present study was to investigate the circulating levels of both IMA and MDA in a cohort of prediabetic adults. The possible associations between both markers and the atherogenic index of plasma (AIP) were also evaluated.

METHODS

This study enrolled 100 adults with prediabetes and 50 healthy controls matched for age and sex. Anthropometric measurements, fasting and 2-hour post load glucose, glycosylated hemoglobin (A1c), lipids profile, fasting insulin, homeostasis model assessment of insulin resistance (HOMA-IR), high sensitivity C-reactive protein (hs-CRP), AIP, IMA and MDA were assessed.

RESULTS

IMA, MDA, hs-CRP and AIP were significantly higher in adults with prediabetes than in healthy controls. Male gender, fasting and post load glucose, A1c, fasting insulin, TGs, HDL-C, hs- CRP, AIP and MDA were independent predictor variables of IMA, whereas male gender, WC, fasting and post load glucose, A1c, fasting insulin, TC, TGs, LDL-C, HDL-C, hs-CRP and AIP were independent predictor variables of MDA.

CONCLUSION

The elevation of IMA concomitantly with MDA reflecting the antioxidant status in prediabetes, and their associations with hs-CRP and AIP should reinforce the idea of screening and treatment of prediabetes.

The Atherogenic Index of Plasma: A Powerful and Reliable Predictor for Coronary Artery Disease in Patients With Type 2 Diabetes

We evaluated the predictive power of the atherogenic index of plasma (AIP) for coronary artery disease (CAD) in patients with type 2 diabetes mellitus (T2DM). A total of 3278 patients who underwent coronary angiography were consecutively enrolled, including 2052 patients with CAD and 1226 patients with T2DM but without CAD. Patients in the CAD group had higher levels of triglyceride (TG), total cholesterol, low-density lipoprotein cholesterol, AIP and a lower level of high-density lipoprotein cholesterol (HDL-C). In correlation analyses, AIP correlated positively with body mass index, log (homeostasis model assessment of insulin resistance), TG, remnant lipoprotein cholesterol, non-HDL-C, but negatively with age and HDL-C. Multivariate logistic regression analyses demonstrated that AIP was an independent risk factor for CAD in diabetic patients and was validated by multiple models. Furthermore, the ORs for CAD risk were raised with increasing AIP quartiles; ORs of AIP quartiles Q2-Q4 compared with Q1 were 1.56, 1.70, and 2.22, respectively (Ps < .001), which suggested AIP was the lipid parameter that most strongly associated with incident CAD. In conclusion, AIP is a powerful and reliable biomarker for predicting CAD risk beyond individual lipid profiles in patients with T2DM.

Predictive value of the atherogenic index of plasma for chronic total occlusion before coronary angiography

BACKGROUND

The atherogenic index of plasma (AIP) is calculated by logarithmic transformation of the ratio of triglyceride (TG) and high-density lipoprotein cholesterol (HDL-C) concentrations. Although previous studies have demonstrated that the AIP is associated with coronary artery disease, its association with chronic total occlusion (CTO) requires elucidation.

HYPOTHESIS

We hypothesized that the AIP would have diagnostic value in cases of CTO and could be used to predict adverse events.

METHODS

This study involved 1131 inpatients who underwent coronary angiography. Data on demographic and clinical characteristics, coronary artery stenosis rated by the Gensini score, and clinical assessment by the Global Registry of Acute Coronary Events and thrombolysis in myocardial infarction (TIMI) scores were collected by cardiovascular doctors. Serum AIP values were evaluated by logarithmic transformation of the ratio of TG and HDL-C concentrations. The correlations of AIP values with clinical parameters were assessed, and receiver-operating characteristic curves were constructed for CTO diagnosis.

RESULTS

Overall, 1131 inpatients were assigned to the CTO (n = 398) and control (n = 733) groups. Compared with the control group, the CTO group showed a significantly higher AIP (p < .05). The AIP was positively correlated with body mass index, the TIMI score, the Gensini score, and stent length and was effective for the diagnosis and risk assessment of patients with CTO. Multivariate logistic regression analyses revealed that the AIP was an independent risk factor for CTO. The findings suggest that the AIP could predict the presence of CTO and disease severity.

Sex-Specific Association between Serum Vitamin D Status and Lipid Profiles: A Cross-Sectional Study of a Middle-Aged and Elderly Chinese Population

Studies have shown that vitamin D status might be associated with dyslipidaemia, but results are conflicting and there might exist sex differences. The aim of our study was to explore the sex-specific association between vitamin D status and serum lipids and atherogenic index of plasma (AIP, a predictor for atherosclerosis) among Chinese middle-aged and elderly adults. A total of 4,021 middle-aged and elderly participants from a health management centre were included in this cross-sectional study. The individuals were classified into tertiles according to serum 25(OH)D. Linear and logistic regression models were used to estimate the association between vitamin D levels and serum lipids among the tertiles. The mean serum 25(OH)D level was 21.60 (16.60-27.20) ng/mL in all participants. After adjusting for potential confounders, a 10 ng/mL increase in 25(OH)D was associated with decreases of 1.156 mmol/L in triglycerides (TGs) and 0.068 in the AIP and an increase of 0.051 mmol/L in high-density lipoprotein cholesterol (HDL-C) in all subjects. In addition, 25(OH)D deficiency was associated with an increased prevalence of hypertriglyceridaemia (odds ratio (OR), 1.880; 95% confidence interval (CI), 1.351-2.615), hypoalphalipoproteinaemia/HDL (OR, 1.505; 95% CI, 1.146-1.977) and abnormal AIP (OR, 1.933; 95% CI, 1.474-2.534) in males, and 25(OH)D-deficient women had a 2.02-fold higher risk for hypoalphalipoproteinaemia/HDL than women with sufficient 25(OH)D levels (95% CI, 1.044-3.904; all p values <0.05). Vitamin D deficiency was positively associated with the prevalence of dyslipidaemia and abnormal AIP in the middle-aged and elderly Chinese population. And this association was stronger in men than in women.

Atherogenic Index of Plasma in Obstructive Sleep Apnoea

Background: Dyslipidaemia is well recognised in obstructive sleep apnoea (OSA) and could contribute to the development of cardiovascular disease (CVD). Atherogenic index of plasma (AIP) predicts cardiovascular morbidity and mortality better than the individual lipid levels. The aim of this study was to investigate the AIP in patients with OSA in relation with disease severity. Methods: Four hundred sixty-one patients with OSA and 99 controls participated in this study. AIP was assessed in the morning following a diagnostic sleep study. The association between lipid values and OSA were adjusted for age, gender, and body mass index. Results: Patients with OSA had higher AIP and triglyceride, and lower high-density lipoprotein cholesterol (HDL-C) levels (all p < 0.05). AIP significantly correlated with the Epworth Sleepiness Scale score (ρ = 0.19), the apnoea-hypopnoea index (ρ = 0.40) and oxygen desaturation index (ρ = 0.43, all p < 0.05). However, there was no relationship between the AIP and markers of sleep quality such as total sleep time, sleep period time, sleep efficiency, arousal index or percentage of REM sleep (all p > 0.05). AIP was not a better predictor for self-reported cardiovascular disease or diabetes than HDL-C. Conclusions: AIP is elevated in OSA and is related to disease severity. However, it does not seem to have an additional clinical value compared to HDL-C.

Serum butyrylcholinesterase/HDL-cholesterol ratio and atherogenic index of plasma in patients with fatty liver disease

Cardiovascular diseases on an atherosclerotic basis are a serious health problem. Atherosclerosis is a multifactorial pathological process with complex pathogenesis. Its origin and development is conditioned by a set of several risk factors. Changes in the spectrum of lipoproteins are one of the well-known, serious risk factors for cardiovascular disease. The results of several authors showed, that the examination of the ratio of some lipoproteins can provide more accurate information about the cardiovascular risk in a given individual than the individual lipid parameters alone. Non-alcoholic fatty liver disease (NAFLD) is currently the most common form of chronic hepatopathy. The aim of our study was to examine lipoprotein ratios - atherogenic index of plasma (AIP) and butyrylcholinesterase/ HDL-cholesterol ratio - in patients with NAFLD and to evaluate their changes in relation to the severity of hepatic steatosis. The study group consisted of 64 patients with hepatic steatosis, 32 men and 32 women. Patients were examined for fatty liver index (FLI), with FLI values above 60.0 signaling the presence of steatosis. From the biochemical parameters, we examined the serum concentrations of total cholesterol, HDL- and LDL-cholesterol, triacylglycerols and butyrylcholinesterase activity in patients with fatty liver disease. As the results of our study showed, both basic lipid parameters - total cholesterol and triacylglycerols - were increased in patients with hepatic steatosis compared to the values in the control group (Chol: 3,59 ± 0,16 vs. 5,14 ± 0,14 mmol/l; TAG: 0,85 ± 0,06 vs. 1,86 ± 0,14 mmol/l). Both investigated lipoprotein ratios - AIP and the BChE / HDL-cholesterol ratio were also significantly increased in patients with liver steatosis (AIP: -0,191 ± 0,04 vs. 0,157 ± 0,04; BChE/HDL-C: 3171 ± 123 vs. 4602 ± 291). The value of the BChE/HDL-cholesterol ratio correlated well with the total cholesterol/HDL cholesterol ratio (correl.coeff. 0,802) as well as with the atherogenic index of plasma (correl.coeff. 0,702). The findings of elevated AIP and BChE/HDL-C ratios confirmed the hypothesis of an increased risk of cardiovascular disease in patients with fatty liver disease. The finding of a significant positive correlation between AIP and BChE/HDL-C on the one hand and fatty liver index (FLI) on the other hand suggests that cardiovascular risk increases with the severity of steatotic liver injury.

ATHEROGENIC INDICES IN THE ASSESSMENT OF CARDIOVASCULAR DISEASE RISK IN CHILDREN WITH OBESITY AND SUBCLINICAL HYPOTHYROIDISM

Background

The frequency of subclinical hypothyroidism (SH) in patients with obesity is increased compared with the normal population. However, data on the risk of cardiovascular disease (CVD) in patients with SH are still scarce. Lipid parameters are strong predictors of early CVD. We aimed to investigate the role of lipid indices in predicting CVD risk compared to conventional lipid components.

Methods

A total of 220 euthyroid obese children (EU) and 90 obese children with SH were included in the study. All data were collected from hospital files. Lipid indices were evaluated. Atherogenic index of plasma (AIP), cardiac risk ratio (CRR) and atherogenic coefficient (AC) were calculated. AIP>0.24, CRR>5 ve AC>3 were considered as cardiovascular risk criteria.

Results

The presence of SH increased the risk of higher AIP and the risk of CRR, compared to euthyroid obese children.

Conclusion

Subclinical hypothyroidism in obese children may cause dislipidemia carrying a high cardiovascular disease risk.

Clinical Utility of the Logarithmically Transformed Ratio of Triglycerides-to- High-Density Lipoprotein Cholesterol and Its Relationship with Other Atherosclerosis-Related Lipid Factors in Type 2 Diabetes

Background: Elevated triglyceride (TG) levels and reduced high-density lipoprotein-cholesterol (HDL-c) levels indicate lipid abnormalities, but their levels alone do not reflect the actual status of plasma atherogenicity and cardiovascular disease risk (CVD). TG and HDL-c levels directly affect the balance between plasma atherogenic and antiatherogenic factors, as well as values of the atherogenic index of plasma [AIP (logarithmically transformed ratio of TG-to-HDL-c)]. The aim of this study was to evaluate the AIP risk categories (an indicator of plasma atherogenicity) and the relationships of AIP with other atherosclerosis-related lipid parameters in patients with type 2 diabetes mellitus (T2DM) and their potential clinical utility. Methods: Standard lipid profile, AIP, and lipid hydroperoxides (LOOH) were investigated in 124 T2DM outpatients (mean age 52.7 ± 5.9 years) and 61 healthy subjects (mean age 50.9 ± 6.8 years). T2DM patients were subclassified according to the AIP risk category and glycemic control. Results: Higher levels of AIP, LOOH, and TG and lower HDL-c (all P < 0.0001) were observed in T2DM patients than in the control group. AIP positively correlated with LOOH, non-HDL-c, and the non-HDL/HDL ratio (all P < 0.0001). The TG level was strongly correlated with the LOOH level among T2DM patients (P < 0.0001). Conclusions: The close association of AIP with other atherosclerosis-related lipid factors reveals an increased plasma atherogenicity. AIP risk categories indicate the actual status of plasma atherogenicity and identify subjects who are at an increased atherogenic risk and the development of CVD. In this respect, AIP has a promising future in routine clinical practice.

Atherogenic Index of Plasma Is a Potential Biomarker for Severe Acute Pancreatitis: A Prospective Observational Study

BACKGROUND

The atherogenic index of plasma (AIP) reflects the levels of triglycerides (TG) and high-density lipoprotein (HDL) cholesterol. The purpose of this study was to assess the relationship between the AIP and severe acute pancreatitis (SAP).

MATERIALS AND METHODS

Patients with acute pancreatitis (AP) were prospectively enrolled from March 2015 to June 2019. The severity of AP was classified according to the 2012 revised Atlanta classification. Mild and moderately severe AP were categorized as non-SAP. The AIP is calculated as log(TG/HDL).

RESULTS

A total of 323 patients were enrolled. The etiologies of AP were gallstone in 171 patients (52.9%), alcohol in 122 patients (37.8%), and hypertriglyceridemia in 30 patients (9.3%). Twenty-four patients (7.4%) were classified as SAP. The AIP was significantly higher in the SAP group compared to the non-SAP group (p < 0.001). The AIP was positively correlated with the Atlanta classification (R = 0.256, p < 0.001). In multivariate analysis, the AIP was found to be an independent predictive factor for SAP (OR = 4.571; CI = 1.913-10.922; p = 0.001).

CONCLUSIONS

The AIP is a potential biomarker for the prediction of SAP in clinical practice. This result provides that impaired lipid metabolism is associated with the severity of pancreatitis.

Are young Iranian women with metabolically healthy obesity at increased risk of CVD incidence?

Background

The association between the Metabolically Healthy Obese (MHO) phenotype in the absence of metabolic syndrome and subsequent cardiovascular disease remains unclear.

Objectives

We examined the association between MHO and CVD risk in young Iranian women.

Methods

We studied 183 women aged 20-35 years from a population of 308 candidates. We classified participants into 4 phenotypes. We measured body composition, blood pressure, and biochemical factors in all participants.

Results

The Metabolically Healthy Normal Weight (MHNW) and Normal Weight Obese (NWO) phenotypes had no statistical differences in any biochemistry variables. FBS, TG, LDL/HDL, Cholesterol/HDL, hs-CRP, and atherogenic index of plasma (AIP) were all higher in Metabolically Unhealthy Obese (MUO) than MHO individuals, whereas HDL was higher in MHO than in MUO individuals. LDL/HDL and hs-CRP were higher in MHO participants than MHNW participants, whereas HDL-c was higher in MHNW than MHO.

Conclusions

Results of the present study demonstrate that young women displaying the MHO phenotype have a favorable metabolic profile as shown by lower FBS, TG, LDL-c/HDL, Cho/HDL, hs-CRP, and AIP and higher HDL levels than the MUO phenotype. However, MHO individuals were still at greater risk of CVD incidence (lower HDL and higher hs-CRP levels) than MHNW individuals.

Atherogenic Index of Plasma Is an Independent Risk Factor for Coronary Artery Disease and a Higher SYNTAX Score

We aimed to identify the best diagnostic cutoff value of the atherogenic index of plasma (AIP) for coronary artery disease (CAD) and its correlation with the SYNTAX score (SS). From January 2016 to December 2019, 2253 patients with CAD and 1347 non-CAD patients with complete data were included in the study. Coronary angiography was performed using the Judkins technique, and the SS was calculated using network software. There were differences in age, body mass index, total cholesterol, triglyceride, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol levels, and AIP between groups (all P < .01). Multivariate logistic regression analysis showed that AIP was an independent risk factor for CAD and a high SS (SS ≥ 23) with adjusted odds ratios of 2.248 (95% CI: 1.666-3.032, P < .01) and 1.623 (95% CI: 1.118-2.358, P < .01) per standard deviation increase. Receiver operating characteristic curve analysis revealed that the best diagnostic cutoff value of AIP for the prediction of CAD and SS ≥ 23 was 2.035 and 2.23, the specificity was 61.8% and 65.7%, the sensitivity was 76.4% and 54.9%, the Youden index was 0.382 and 0.206, and the area under the curve was 0.733 (95% CI: 0.717-0.750, P < .01) and 0.653 (95% CI: 0.630-0.676, P < .01). Atherogenic index of plasma, as a biomarker, may assist in the prevention of CAD in the Chinese population.

Atherogenic index of plasma and the risk of advanced subclinical coronary artery disease beyond traditional risk factors: An observational cohort study

BACKGROUND

Atherogenic lipoprotein profile of plasma is an important risk factor for atherosclerosis. The atherogenic index of plasma (AIP) has been suggested as a novel marker for atherosclerosis.

HYPOTHESIS

AIP is a useful marker of advanced subclinical coronary artery disease (CAD) in subjects without overt renal dysfunction.

METHODS

A total of 6928 subjects with estimated glomerular filtration rate > 60 mL/minutes/1.73 m² evaluated by coronary computed tomography angiography (CCTA) for health check-up were included. The relation of AIP to advanced CAD (heavy coronary calcification, defined as coronary artery calcium score [CACS] >100 or obstructive coronary plaque [OCP], defined as plaque with >50% stenosis) was evaluated.

RESULTS

All participants were stratified into four groups based on AIP quartiles. The prevalence of CACS >100 (group I [lowest] 4.7% vs group II 7.0% vs group III 8.8% vs group IV 10.0%) and OCP (group I 3.7% vs group II 6.4% vs group III 8.8% vs group IV 10.9%) (all P < .001) increased with elevating AIP quartiles. Higher AIP (per 0.1 unit increase) was associated with an increased risk of CACS >100 (odds ratio [OR] 1.057, 95% confidence interval (CI) 1.010 to 1.106, P = .017; relative risk (RR) 1.048, 95% CI 1.009-1.089, and P = .015) and OCP (OR 1.079, 95% CI 1.033-1.127, P = .001; RR 1.069, 95% CI 1.031-1.108, P < .001) after adjusting for age > 60 years, male sex, hypertension, diabetes mellitus, dyslipidaemia, obesity, and proteinuria.

CONCLUSION

AIP is independently associated with advanced subclinical CAD beyond traditional risk factors.

High atherogenic index of plasma and cardiovascular risk factors among Ghanaian breast cancer patients

Comorbidities impact negatively on breast cancer prognosis, especially in developing countries where cases are usually presented to clinics at advanced stages. This study aimed to determine the atherogenic index of plasma (AIP) and cardiovascular risk factors among Ghanaian women diagnosed with breast cancer. A total of 52 breast cancer patients were age-matched with 52 healthy controls. Sociodemographics of participants were obtained using a well-structured questionnaire. Pathological data of patients were obtained from medical records, and all clinical and anthropometric measurements were done using standard instruments. Lipid profile was determined from serum using enzymatic assays, and cardiovascular risk factors were calculated from estimated lipid parameters. Blood pressure, AIP, total cholesterol (T. chol), triglyceride (TG), and low-density lipoprotein cholesterol (LDL-c) were significantly elevated (P < 0.05) in the breast cancer patients compared to the controls, but the reverse was observed for high-density lipoprotein cholesterol (HDL-c) (P < 0.01). Obesity (odds ratio [OR] = 2.51, P = 0.015), hypertension (OR = 4.04, P < 0.001), AIP (OR = 10.44, P < 0.001), and dyslipidemia (P < 0.01) were significantly associated with breast cancer. AIP correlated positively with age (r = 0.244, P < 0.05), body mass index (r = 0.225, P < 0.05), blood pressure (P < 0.01), T. chol (r =0.418, P< 0.01), and TG (r = 0.880, P < 0.01), but inversely correlated with HDL-c (r = -0.460, P < 0.01). A greater proportion (88%) of the patients presented with advanced breast cancer. AIP and cardiovascular risk factors were high in the breast cancer patients. Considering that AIP and cardiovascular disease risk factors are of interest in breast cancer patients, further studies are needed to understand the effect of AIP and cardiovascular risk factors on breast cancer outcomes.

Atherogenic Index of Plasma: A Potential Biomarker for Clinical Diagnosis of Diabetic Foot Osteomyelitis

Background: Osteomyelitis of the diabetic foot is a costly health problem worldwide. Early and accurate diagnosis of the disease in patients with diabetic foot infections is needed urgently and will have an important role in diabetic foot management. Methods: This was a case-control study of subjects with diabetic foot ulcers admitted to Beijing Shijitan Hospital from September 2015 to April 2018. We compared differences in the atherogenic index of plasma (AIP) in patients with or without osteomyelitis. Results: The mean AIP of 165 patients with osteomyelitis was 0.23 ± 0.24, which was significantly higher than the mean AIP of patients without osteomyelitis. Higher AIP values were associated with a considerably higher risk of osteomyelitis with an odds ratio of 1.81 (95% confidence interval [CI] 0.71-4.61), 4.70 (1.88-11.75), 5.03 (2.06-12.25) and 1.74 (1.33-2.28). Moreover, at a cut-off of 0.184, the AIP value showed a sensitivity of 84.3% and a specificity of 83.1% in the discriminatory identification of diabetic foot osteomyelitis. Conclusions: Elevated AIP was significantly associated with diabetic foot osteomyelitis, supporting the use of this index as a biomarker for the diagnosis in clinical practice.