Atherogenic Index Of Plasma Values Research Articles

Exploring the L-shaped relationship between Atherogenic Index of Plasma and depression: Results from NHANES 2005–2018

BackgroundThe Atherogenic Index of Plasma (AIP) is a novel metric linked to several diseases. However, there is inadequate evidence to investigate the relationship between AIP and depression. Therefore, we aim to elucidate the non-linear association between AIP and depression. Methods12,453 participants from the National Health and Nutrition Examination Survey (NHANES) 2005–2018 were included. The AIP was calculated as log10 (triglycerides/high-density lipoprotein cholesterol). The Patient Health Questionnaire (PHQ-9) was used to identify depression (PHQ-9 ≥ 10). Weighted multivariate logistic regression, restricted cubic splines (RCS) models, subgroup analysis, and interaction tests were employed to reveal the relationship between AIP and depression. ResultsAIP was found to be significantly correlated with depression. In the fully adjusted model, elevated AIP levels were associated with higher odds of depression (odds ratio [OR] = 1.50; 95 % CI: 1.06–2.12). The RCS analysis indicated an L-shaped pattern in the relationship between depression and AIP, with inflection points at −0.289. Beyond this inflection point, individuals with elevated AIP levels were associated with higher odds of depression (OR = 2.25; 95 % CI: 1.49–3.39). Notably, the association was particularly pronounced among individuals with diabetes. LimitationThis cross-sectional study is unable to establish causal relationships. ConclusionThere was an L-shaped association between AIP and depression among US adults. AIP has the potential value as a biological marker for depression, and maintaining AIP values below a certain threshold may help in managing depression.

Association between the atherogenic index of plasma and hearing loss based on a nationwide cross-sectional study

BackgroundHearing loss (HL) is a worldwide public health issue for which the role of dyslipidemia has not been fully elucidated. This study aimed to use the atherogenic index of plasma (AIP), a well-established serum lipid marker, to investigate the association of dyslipidemia with HL among the general population.MethodsParticipants (n = 3267) from the National Health and Nutrition Examination Survey database (2005–2012, 2015–2018) were included in the present study. The AIP was calculated based on the following formula: log10 (triglycerides/high-density lipoprotein cholesterol). HL was defined as a pure-tone average of at least 20 dBHL in the better ear. Weighted multivariable logistic regression, subgroup analysis, generalized additive model, and threshold analysis were adopted to reveal the association between the AIP and HL.ResultsIn this study of US adults, a positive association was found between the AIP and high-frequency HL. However, the association between the AIP and low-frequency HL was not as strong. In addition, a reverse L-shaped curve with an inflection point located at -0.27 was detected between the AIP and high-frequency HL, followed by a significant positive association after the inflection point.ConclusionsThe potential of the AIP as a bioindicator for high-frequency HL is noteworthy, and maintaining an AIP value below a certain threshold might provide beneficial outcomes in the management of high-frequency HL.

Cardiovascular risk assessment of newborns in Nigeria using the atherogenic index of plasma and its associations with gestational age and birth weight: a cross-sectional hospital-based study

Background: The prevalence of atherosclerotic cardiovascular disease is rising, and its onset from childhood is widely studied. Prematurity and low birth weight were associated with higher atherogenic risk when assessed using some lipid ratios. However, the atherogenic index of plasma (AIP), a sensitive marker for atherosclerosis is understudied in newborns. Utilizing AIP, this study aimed to determine atherogenic risk prevalence among newborns and its association with gestational age and birth weight. Methods: Newborns were consecutively recruited, and their lipid profiles were determined. The AIP was calculated as the logarithm to base 10 (log10) of the ratio of molar concentrations of triglyceride to high-density lipoprotein cholesterol. The atherogenic risk was operationalized using AIP: high, >0.24; medium, 0.1–0.24; and low/no risk, <0.1. The relationship between AIP values, gestational age, and birth weight was analyzed using Pearson correlation. Results: The mean AIP of the 167 newborns studied was –0.35±0.34, which is within the global reference range. Three (1.8%), 10 (6.0%), and 154 (92.2%) newborns were in the high, medium, and low/no atherogenic risk categories, respectively. Hence, 13 newborns (7.8%) had medium to high atherogenic risk. AIP had a moderate significantly positive relationship only with gestational age (r=0.35, P<0.001). Conclusions: The study found an atherogenic risk prevalence of 7.8% using AIP in newborns which, contrary to previous studies that used other ratios, has no significant association with birth weight, correlating positively with gestational age, though is lowest in late preterms. Follow-up studies will elucidate these findings.

Impact of baseline and trajectory of the atherogenic index of plasma on incident diabetic kidney disease and retinopathy in participants with type 2 diabetes: a longitudinal cohort study

BackgroundSome studies have assessed the predictive role of the atherogenic index of plasma (AIP) for macrovascular diseases. This prospective investigation aimed to elucidate whether AIP is associated with diabetic kidney disease (DKD) and diabetic retinopathy (DR) incidence.MethodsThe data were extracted from 4831 participants, of whom 2943 and 3360 participants with type 2 diabetes (T2D) were included in the DKD and DR follow-up analyses, respectively. Cox regression models were performed to test the relationships of AIP value at baseline with the risk of incident DKD and DR. Group-based trajectory modelling was utilized to discern AIP trajectories during the follow-up period. Subsequently, logistic regressions were applied to ascertain the influence of AIP trajectories on the incidence of DKD and DR.ResultsDuring the follow-up period, 709 (24.1%) and 193 (5.7%) participants developed DKD and DR, respectively. The median (interquartile range) follow-up time was 24.2 (26.3) months for DKD and 25.7 (27.0) months for DR. According to the multivariate Cox regression models, baseline AIP was positively and linearly related to the occurrence of DKD, with a hazard ratio of 1.75 (95% confidence interval [CI] 1.36–2.26). Three distinct trajectories of AIP were identified throughout the follow-up time: Low (31.4%), Median (50.2%), and High (18.3%). Compared to participants with the Low AIP trajectory, those with High and Median AIP trajectories presented 117% (95% CI: 1.62–2.91) and 84% (95% CI 1.46–2.32) greater odds of developing DKD, respectively. However, neither baseline levels nor trajectories of AIP were shown to be related to DR after adjusting for confounding factors.ConclusionsBaseline levels and trajectories of AIP were independently related to elevated DKD risk, indicating that AIP could be used as a predictor for identifying T2D participants at higher risk of DKD. No association between AIP and DR was detected.

The Predictive Value of Atherogenic Index of Plasma, Non- High Density Lipoprotein Cholesterol (Non-HDL-C), Non-HDL-C/HDL-C, and Lipoprotein Combine Index for Stroke Incidence and Prognosis in Maintenance Hemodialysis Patients.

The serum lipid level is strongly associated with atherosclerosis. However, research on the relationship between lipid-derived indices and acute ischemic stroke (AIS) occurrence in hemodialysis populations is limited. This study aimed to explore the predictive value of lipid-derived indices, including atherogenic index of plasma (AIP), Non- high density lipoprotein cholesterol (Non-HDL-C), Non-HDL-C/HDL-C, and lipoprotein combine index (LCI) in clinical practice for the occurrence and prognosis of AIS in hemodialysis patients. A total of 451 patients undergoing maintenance hemodialysis were screened and 350 were enrolled in this study. The lipid parameters exhibit a progressive increase across the tertiles, with values rising from Q1 through Q3. Enrolled patients were divided into three groups (Q1, Q2, and Q3) based on tertiles of AIP, Non-HDL-C, Non-HDL-C/HDL-C, and LCI values. Kaplan-Meier curves were performed to investigate the association between the AIP, Non-HDL-C, Non-HDL-C/HDL-C, LCI and AIS-free survival in hemodialysis patients. Chi-square analysis was used to explore the association between the AIP, Non-HDL-C, Non-HDL-C/HDL-C, LCI and AIS outcomes in hemodialysis patients. AIS outcomes were assessed using the modified Rankin Scale (mRS). Kaplan-Meier analysis revealed that the AIS-free survival rates were significantly higher in the Q1 group compared to Q2 and Q3 groups for AIP, Non-HDL-C, Non-HDL-C/HDL-C, and LCI. Log rank tests showed statistically significant differences between the Q1 group and the Q2 and Q3 groups (p < 0.05 for all). The proportion of patients with a good outcome mRS was higher in the Q1 group compared to the Q2-Q3 groups (AIP: 0.818 vs 0.792; Non- HDL-C: 0.866 vs 0.767; Non- HDL-C/HDL-C: 0.867 vs 0.767; LCI: 0.938 vs 0.750). The four lipid-derived parameters are effective predictors of AIS in patients undergoing hemodialysis, and AIP has a strongest correlation with the risk of AIS. Hemodialysis patients with elevated levels of the four lipid-derived indices had a higher incidence of AIS and poorer functional outcomes compared to those with lower levels. Our conclusions may require confirmation by further research in the future.

Anthropometrics and Plasma Atherogenic Index in Saudi Women Madinah KSA.

to determine the lipid profile levels and association with anthropometric measurements and atherogenic index of plasma values in females from Taibah University. A cross-sectional study was conducted from January 2019 to January 2020 at the female section of Taibah University, located in Madinah, Saudi Arabia. The study sample consisted of 240 females ranging from 19 to 50 years. Measurements related to anthropometry such as height, weight, waist, and hip circumference, were calculated. Body Mass Index, Lipid profiles, and Atherogenic Index of Plasma were also measured. Almost 73.4% of the participants were obese and overweight, with a mean BMI of 28.79±5.7 kg/m2. Overweight and obese women were observed to have high total cholesterol and triglyceride levels (P≤0.05). Out of 244 participants, 120 (49.2%) and 44 (18%) were at intermediate and high risk of cardiovascular disease (CVD), respectively, as determined by the atherogenic index of plasma AIP. Intermediate and high-risk CVD groups had higher lipid profile levels and high waist-to-hip ratio compared to those in females at low risk (P≤0.05). AIP was positively and significantly associated with total cholesterol and triglyceride but negatively correlated with HDL concentration. Furthermore, the BMI had significantly positive correlation with triglyceride and waist to hip ratio (P≤0.05). The majority of the participants were overweight and obese, with high levels of triglycerides and total cholesterol and high waist to hip ratio, placing them at intermediate or high risk of CVD based on AIP values. Additional CVD risk screenings, targeted specifically at overweight and obese women, are needed.

The association between atherogenic index of plasma and stroke in Chinese middle-aged and elderly population: a national cross-sectional study

Objective: To investigate the association between atherogenic index of plasma (AIP) and stroke. Methods: The 2015 China Health and Retirement Longitudinal Study (CHARLS) survey was used in this study. Logistic regression was adopted to examine the relationship between AIP, calculated as log (TG/HDL), and stroke. Subgroup analysis was used to further explore the associated factors. Restricted cubic spline (RCS) regression was adopted to estimate the non-linear association. Receiver operator characteristic (ROC) analysis was utilized to calculate the cutoff value of AIP. Results: In this study, 13,027 participants aged 45 years above were enrolled. The odds ratios in the fully adjusted logistic model across the quartiles of AIP were 1.00 (reference), 1.09 (95% CI 0.69–1.72), 1.62 (95% CI 1.06–2.49), 1.07 (1.08–2.58), respectively. Non-linear association between AIP and stroke was not found using RCS regression (p for non-linearity &gt; 0.05). The subgroup analyses showed that the association between AIP and stroke varied in different gender, alcohol and cigarette consumption, but the interaction effects were insignificant (all p &gt; 0.05). The cutoff value of AIP was 0.82, and the area under the curve (AUC) was 0.57. Conclusion: Elevated AIP is significantly associated with the increased risk of stroke in the middle- aged and elderly Chinese, indicating that AIP may be a predictive factor for stroke among the Chinese middle-aged and elderly.

Impact of 24-week dapagliflozin treatment on body weight, body composition, and cardiac risk indicators of patients with type-2 diabetes mellitus.

To reveal the impacts of dapagliflozin, a sodium glucose transporter-2 inhibitor (SGLT-2i), on body weight and body composition, cardiovascular risk indices, and carotid intima-media thickness (CIMT). The data of patients with type-2 diabetes mellitus (T2DM) who applied to Department of Endocrinology and Metabolic Disorders between September 2019 and 2020, and had started dapagliflozin treatment along with their current medications were recorded retrospectively. Body weights, body compositions measured through bioelectrical impedance, and CIMT with T2DM receiving SGLT-2i treatment and medication were measured at weeks 1, 12, and 24 of 42. The visceral adiposity index (VAI), lipid accumulation product (LAP), and atherogenic index of plasma (AIP) were used to determine the lipid measurements and anthropometric values. The mean change in the total body weight and total fat mass was -2.96 and -1.97 kg, respectively (p < 0.001). There was a reduction in total fat mass of 1.23 kg (from 31.4 to 29.3 kg, p < 0.001) and in body fat percentage of 2.5% (from 35.8% to 34.4%, p < 0.001) in the first 12 weeks. A mild increase was observed in both the total fat mass and body fat percentage between weeks 12 and 24, which was not statistically significant (p = 0.783 and p = 0.925, respectively), whereas there was a statistically significant reduction in high-sensitive C-reactive protein (hsCRP), AIP, and CIMT values (p = 0.006, p = 0.035, and p = 0.007, respectively). No changes were observed in the VAI and LAP values (p = 0.985 and p = 0.636, respectively). It was observed that dapagliflozin not only contributes to weight and fat loss but also has positive impacts on cardiovascular and atherosclerotic indicators.

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

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. 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. 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 of atherogenic index of plasma with early neurological deterioration in patients with acute ischemic stroke

PurposeTo explore the correlation between Atherogenic Index of Plasma (AIP) and early neurological deterioration (END) in patients with acute ischemic stroke (AIS). MethodsA retrospective analysis of 334 patients diagnosed with AIS between January 2021 and May 2023 at the Affiliated Huai'an Hospital of Xuzhou Medical University. Patients were divided into END and non-END groups based on changes in National Institutes of Health Stroke Scale scores (NIHSS) within 7 days of admission, and the differences in the indicators between the two groups were examined using univariate analysis. The patients were then divided into three groups based on the tertile of the AIP (T1: AIP≤ −0.01; T2: 0 ≤AIP≤0.16; AIP≥0.17), and logistic regression analysis was used to examine the association between the AIP and END. Finally, the predictive ability of the AIP was evaluated using the receiver operating characteristic (ROC) curve. ResultsA total of 334 patients were included, of which 64 (19.20%) had END. The results of the analysis showed that the AIP was significantly higher in the END group compared to the non-END group. Multivariable logistic regression analysis showed that higher AIP was associated with END in AIS patients (OR=3.259, 95%CI, 1.490–7.125, P = 0.003), especially in large-artery atherosclerosis (LAA) subtype (OR=4.240, 95%CI,1.30–13.87, P = 0.017). ROC analysis revealed that the best predictive cutoff value of AIP was 0.115, and the area under the ROC curves for AIP was 0.681(0.604–0.758). ConclusionOur study uncovered that higher AIP levels were associated with END development in AIS patients.

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

BackgroundThe 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.MethodsA 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.ResultsDuring 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.ConclusionOur 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.

Oxidative stress as the bridge between dyslipidemia and peritoneal ultrafiltration failure: A bi-center cross-sectional cohort study

stress and dyslipidemia are common concerns in patients undergoing peritoneal dialysis (PD) and are associated with adverse clinical outcomes. However, the interplay between these factors and their impact on peritoneal ultrafiltration (UF) remains poorly understood.&#x0D; Methods: In this bi-center cross-sectional cohort study, we examined the relationships between dyslipidemia, oxidative stress, and peritoneal UF in patients undergoing PD. A comprehensive set of oxidative stress markers, lipid profiles, and clinical variables were assessed.&#x0D; Results. Among the 114 patients, aged 55 (48-65) years, with a dialysis vintage of 31 (14-50) months, 76 (66.7%) were diagnosed with dyslipidemia. Patients with dyslipidemia experienced significantly higher proportions of patients with peritoneal UF below 400 mL per day, suggesting ultrafiltration failure (UFF) (χ2 = 4.9, p = 0.02). An elevated D/P creatinine ratio was associated with higher levels of total cholesterol (r = 0.39, p = 0.0005), low-density lipoprotein cholesterol (r = 0.26, p = 0.02), triglycerides (r = 0.33, p = 0.005), and the atherogenic index of plasma (AIP) (r = 0.27, p = 0.01). UF rate displayed a positive correlation with high-density lipoprotein cholesterol (r = 0.31, p = 0.003) and a negative correlation with AIP (r = -0.33, p = 0.004). The ROC analysis revealed that an AIP value exceeding 4.3 could effectively predict UFF, with a sensitivity of 83.3% and a specificity of 73.4%&#x0D; Dyslipidemia was significantly associated with increased intensity of oxidative stress, with elevated malondialdehyde (MDA) (p = 0.0002), oxidative stress index (OSI) (p &lt; 0.0001), and reduced antioxidant markers. UFF was also associated with higher oxidative stress, as indicated by increased MDA (p = 0.005) and OSI (p = 0.0009). Patients with both dyslipidemia and UFF exhibited the highest levels of oxidative stress (p &lt; 0.0001). Taking potential confounders into account in the ANCOVA analysis, a significant interaction effect of dyslipidemia (F = 7.6, p = 0.007) and UF rate (F = 8.6, p = 0.004) on oxidative stress was observed.&#x0D; Conclusion. Dyslipidemia and UFF are independently associated with elevated oxidative stress in PD patients, and their coexistence exacerbates this oxidative burden. Understanding these relationships is crucial for developing interventions to improve clinical outcomes in this population. Targeted therapies addressing oxidative stress and dyslipidemia warrant further investigation.

The effect of propolis supplementation on cardiovascular risk factors in women with rheumatoid arthritis: A double-blind, placebo, controlled randomized clinical trial.

Propolis has gained popularity in recent years because of its beneficial properties, which make it a possible preventative and therapeutic agent as well as a valuable food and cosmetic ingredient. The objective of this study was to evaluate the effects of propolis supplementation on cardiovascular risk factors in women with rheumatoid arthritis. This randomized, double-blind, placebo-controlled clinical trial was performed among 48 patients diagnosed with rheumatoid arthritis. Subjects were randomly assigned to placebo and intervention groups, supplemented with 1000 mg/day of propolis for 12 weeks. Cardiovascular risk factors including, high-sensitivity C-reactive protein (hs-CRP), monocyte chemoattractant protein (MCP-1), Nitric oxide, blood pressure, and lipid profile were assessed pre-and post-intervention. The atherogenic index of plasma value, as well as total cholesterol/high-density lipoprotein cholesterol (HDL-C), triglyceride/HDL-C, and non-HDL-C/HDL-C ratios, were significantly reduced in the intervention group, compared with the placebo group post-intervention (p < 0.05). Moreover, there was a significant reduction in the serum level of hs-CRP in the intervention group when compared with the placebo group (p = 0.001). Furthermore, propolis supplementation could marginally reduce MCP-1 (p = 0.051). These data indicate that propolis supplementation may be a promising treatment strategy for cardiovascular complications among rheumatoid arthritis patients.

Relationship between atherogenic index of plasma and childhood asthma

To explore the relationship between atherogenic index of plasma (AIP) and childhood asthma. This retrospective study included 86 children with asthma admitted to the Changzhou Second People's Hospital Affiliated to Nanjing Medical University from July 2020 to August 2022 as the asthma group and 149 healthy children undergoing physical examination during the same period as the control group. Metabolic parameters including total cholesterol, triglycerides, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and blood glucose, as well as general information of the children such as height, weight, body mass index, presence of specific dermatitis, history of inhalant allergen hypersensitivity, family history of asthma, and feeding history, were collected. Multivariable logistic regression analysis was used to study the relationship between AIP, triglycerides, and high-density lipoprotein cholesterol and asthma. The value of AIP, triglycerides, and high-density lipoprotein cholesterol for predicting asthma was assessed using receiver operating characteristic (ROC) curve analysis. The AIP and triglyceride levels in the asthma group were significantly higher than those in the control group, while high-density lipoprotein cholesterol was significantly lower (P<0.05). However, there was no significant difference in total cholesterol and low-density lipoprotein cholesterol between the two groups (P>0.05). Before and after adjusting for height, weight, presence of specific dermatitis, history of inhalant allergen hypersensitivity, family history of asthma, feeding method, and blood glucose, multivariable logistic regression analysis showed that AIP, triglycerides, and high-density lipoprotein cholesterol were associated with asthma (P<0.05). ROC curve analysis showed that the optimal cutoff value for predicting asthma with AIP was -0.333, with a sensitivity of 80.2%, specificity of 55.0%, positive predictive value of 50.71%, and negative predictive value of 82.85%. The area under the curve (AUC) for AIP in predicting asthma was significantly higher than that for triglycerides (P=0.009), but there was no significant difference in AUC between AIP and high-density lipoprotein cholesterol (P=0.686). AIP, triglycerides, and high-density lipoprotein cholesterol are all associated with asthma. AIP has a higher value for predicting asthma than triglycerides and comparable value to high-density lipoprotein cholesterol.

The predictive value of atherogenic index of plasma for cardiovascular outcomes in patients with acute coronary syndrome undergoing percutaneous coronary intervention with LDL-C below 1.8mmol/L

BackgroundThe potential predictive significance of atherogenic index of plasma (AIP) for cardiovascular outcomes in patients with acute coronary syndrome (ACS) and who have undergone percutaneous coronary intervention (PCI), with low-density lipoprotein-cholesterol (LDL-C) below 1.8mmol/L, has not been well explored.MethodsThe retrospective cohort analysis included 1,133 patients with ACS and LDL-C levels below 1.8mmol/L who underwent PCI. AIP is calculated as log (triglyceride/high-density lipoprotein-cholesterol). Patients were divided into two groups according to the median value of AIP. The primary endpoint was major adverse cardiovascular and cerebrovascular events (MACCEs), a composite of all-cause death, nonfatal myocardial infarction, ischemic stroke or unplanned repeat revascularization. The association between AIP and the prevalence of MACCE was evaluated using multivariable Cox proportional hazard models.ResultsOver a median follow-up of 26 months, the incidence of MACCE was higher in the high AIP group compared to the low AIP group (9.6% vs. 6.0%, P log-rank = 0.020), and the difference was mainly derived from an increased risk of unplanned repeat revascularization (7.6% vs. 4.6%, P log-rank = 0.028). After adjusting for multiple variables, elevated AIP was independently associated with an increased risk of MACCE, regardless of whether AIP was considered a nominal or continuous variable (hazard ratio [HR] 1.62, 95% confidence interval [CI] 1.04–2.53 or HR 2.01, 95% CI 1.09–3.73).ConclusionsThe present study demonstrates that AIP is a significant predictor of adverse outcomes in ACS patients undergoing PCI with LDL-C < 1.8mmol/L. These results suggest that AIP may offer supplementary prognostic information for ACS patients with optimally managed LDL-C levels.

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.

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. 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. 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). 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.

Plasma fatty acid composition and some markers of dietary habits are associated with cardiovascular disease risk determined by an atherogenic plasma index in postmenopausal women

It is hypothesized that plasma proportion of selected fatty acids (FAs) and dietary habits are linked with the risk of cardiovascular disease (CVD) in postmenopausal women. Therefore, this study was designed to determine the association of plasma FA composition and markers of dietary habits with an atherogenic index of plasma (AIP), a predictor of CVD risk in postmenopausal women. In total, 87 postmenopausal women with an average age of 57 ± 7 years were recruited and their dietary intake, anthropometric and biochemical parameters, and FA status in total plasma lipid proportions were determined, showing that 65.5% of the participants had a high risk of CVD according to their AIP value. After adjusting for some confounders (age, body mass index, and physical activity level), the risk of CVD was only positively associated with the frequency of consumption of animal fat spreads (butter and lard) of terrestrial origin. Regarding the FA profile, CVD risk was positively associated with the percentages of vaccenic acid, dihomo-γ-linolenic acid, and monounsaturated fatty acids (MUFA; mainly n-7) in total FA, as well as the MUFA/SFA ratio in total plasma and stearoyl-CoA desaturase-16 activity (16:1/16:0 ratio). In contrast, the risk of CVD was negatively associated with percentages of α-linolenic acid, total polyunsaturated fatty acids (PUFA), and PUFA/MUFA ratio in total plasma lipid, and the estimated activity of Δ5-desaturase (20:4/20:3 n-6 ratio). These results support the current recommendations to decrease the frequency of animal fat spread intake because it is associated with a reduced CVD risk based on AIP in postmenopausal women. In accordance with these plasma percentages of ALA, vaccenic acid, dihomo-γ-linolenic acid, PUFA, PUFA/MUFA ratio, and 16:1/16:0 ratio may be important parameters in CVD risk assessment.

Correlation between Atherogenic Index of Plasma and Various Domains of Cognitive Function in Type 2 Diabetes Mellitus Patients

Cognitive impairment in patients with Type 2 Diabetes Mellitus (T2DM) is related to the lack of blood supply to the brain. Previous studies showed that the atherogenic index of plasma (AIP) is a predictor of vascular abnormalities, but studies investigating its association with cognitive functions in T2DM patients younger than 60 years remain limited. This study aimed to determine the correlation between AIP and various domains of cognitive function in T2DM patients. This study was a cross-sectional study involving 75 T2DM patients selected using a consecutive sampling technique at Haji Adam Malik General Hospital Medan from July 2021 to January 2022. Cognitive function was examined using the Visual Cognitive Assessment Test Indonesian Version (VCAT-INA) on several cognition domains. The AIP value of each patient was measured and categorized into high (AIP&gt;0.21), intermediate (AIP between &gt;0.11 and ≤0.21), or low (≤0.11). The mean triglyceride level was 176±108.3mg/dl, the HDL-C level was 38.3±12.1mg/dl, and the mean AIP value was 0.191±0.25. The mean score of the VCAT-INA was 21.7±2.3, which was lower than normal. The AIP value showed significant negative correlation with global cognition (r=0.432, p&lt;0.001) and various cognitive domains, namely memory (r=-0.375, p=0.001), attention (r=-0.383, p=0.001), executive function (r=-0.051, p=0.663), visuospatial (r=-0.306, p=0.008), and language (r=-0.352, p=0.002). In short, there is a significant correlation between AIP value and domains of cognitive function, such as memory, attention, visuospatial, and language domains, but not with executive domains.

Diagnostic performance using obesity and lipid-related indices and atherogenic index of plasma to predict metabolic syndrome in the adult sudanese population.

Simple and accurate clinical indicators to detect metabolic abnormalities might be helpful for early management and lowering the risk of future consequences like cardiovascular disease and type 2 diabetes mellitus. The visceral adiposity index (VAI), lipid accumulation product (LAP), and atherogenic index of plasma (AIP) have been proposed as reliable, straightforward clinical markers and indications of metabolic syndrome (MetS). This study aimed to see how well these obesity and lipid-related indicators will predict MetS in adult Sudanese patients. This community hospital-based case-control study included 420 middle-aged people (154 men and 266 women). Anthropometric measurements, weight (kilogram), height (meters), and waist circumference (WC) were evaluated, and the body mass index (BMI) and waist-to-height ratio (WHtR) were calculated. Fasting blood samples were collected for glycated hemoglobin (HbA1c) and lipid profile assessment. VAI, LAP, and AIP were calculated. Significantly higher means of BMI, WC, WHtR, HbA1c, triglycerides (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), triglycerides/high-density lipoprotein cholesterol (TG/HDL-C) ratio, LAP, VAI, AIP, and significantly decrease in high-density lipoprotein cholesterol (HDL-C) were seen among MetS when compared with non-MetS group. LAP had a significant proportion with BMI, WC, WHtR, TG, TG/HDL-C, VAI, and AIP, and it is inversely related to HDL-C in the MetS group. On ROC analysis, LAP had the largest operating characteristic curves (AUC) for both gender 0.970 (0.948-0.993) for men and 0.964 (0.945-0.982) for women, followed by WC, and VAI, while BMI showed the lowest AUCs for men and women. In multiple regression analyses, AIP values increased significantly with LDL-C, DBP, HbA1c, LAP, and VAI. The LAP was considerably higher in middle-aged people with MetS in both gender and was considered the best diagnostic performance.

Atherogenic Index of Plasma (AIP) and Its Association with Fatty Liver in Obese Adolescents

The atherogenic index of plasma (AIP) is the base-10 logarithmic conversion of the triglyceride to high-density lipoprotein cholesterol ratio [AIP = log10 (triglyceride/HDL cholesterol)]. Some studies have found a link between low serum vitamin D levels, AIP, and fatty liver. This study was conducted to evaluate the relationship between AIP levels, fatty liver, and vitamin D levels in obese adolescents aged 10-17 years. This study included 136 adolescents, including 83 obese and 53 healthy controls, in the age range of 10-17 years. Thirty-nine of the obese adolescents had fatty livers. Those with ultrasonography grades 2 or 3 of fat were in the fatty liver group. The AIP value was calculated as the logarithmic conversion of the ratio (triglyceride/HDL cholesterol) at the base of 10. Vitamin D and other laboratory tests were analyzed biochemically. Statistical evaluations were made with the SPSS program. The AIP, body mass index (BMI), homeostatic model assessment for insulin resistance (HOMA-IR), and insulin averages of obese adolescents with fatty liver were significantly higher than those of obese adolescents without fatty liver and the healthy control group (p < 0.05). Again, the mean AIP of obese patients without fatty liver was pointedly higher than that of the healthy control group (p < 0.05). There was a positive, moderate relationship between AIP and BMI, AIP and HOMA-IR, and AIP and insulin levels (p < 0.05), whereas there was a negative, moderate (37.3%) relationship between AIP and vitamin D (p = 0.019). AIP levels were higher in obese adolescents, and this increase was higher in obese adolescents with fatty liver in this study. Moreover, we detected a negative correlation between AIP and vitamin D levels and a positive correlation with BMI, insulin resistance, and insulin levels. Based on our data, we concluded that AIP can be a useful predictor of fatty liver in obese adolescents.