High-density Lipoprotein Cholesterol Ratio Research Articles

Correlation between cardiometabolic index and female infertility: a cross-sectional analysis.

Obesity and adverse lipid profile leads to female infertility. The cardiometabolic index (CMI) is a promising indicator for predicting obesity-related diseases. The correlation between CMI and female infertility merits further investigation. The data for this study were acquired from the 2013-2020 National Health and Nutrition Examination Survey (NHANES), with 2333 women enrolled. The cardiometabolic index (CMI) of each participant was calculated as the ratio of triglycerides and high-density lipoprotein cholesterol multiplied by waist-to-height ratio. Weighted multivariate logistic regression models were used to assess the independent correlation between the log-transformed CMI and infertility. Subgroup analyses were carried out to assess the reliability of the findings. Interaction tests were employed to determine whether variables affected infertility by interacting with log CMI. A total of 2333 participants aged 18-45 years were enrolled, 274 of whom were infertile. Log CMI of the infertility group was significantly higher than that of the non-infertility group (P < 0.001). After adjustment for potential confounders, women with higher CMI were at an increased risk of infertility (OR = 2.411, 95% CI: 1.416-4.112), and this correlation was still consistent in subgroups aged under 35 years (P < 0.001). Furthermore, restricted cubic spline analysis showed a positive non-linear relationship between log CMI and infertility. Cardiometabolic index levels are positively correlated with increased risk of infertility in American females. Our study demonstrates the predictive capacity of CMI for female infertility.

The nonlineard association between triglyceride to HDL cholesterol ratio and long-term heart disease risk: findings from China Health and Retirement Longitudinal Study (CHARLS).

The aim of this study was to investigate the relationship between triglyceride to high-density lipoprotein cholesterol ratio (TG/HDL-C) and the risk of cardiovascular disease (CVD) in middle-aged and elderly Chinese population. CVD has high morbidity and mortality in China, with 5.09million CVD deaths in 2019 and a mortality rate of 364.5 cases per 100,000 people. Existing studies have focused on specific populations and lack studies on the general population. This study used data from the China Health and Aged Care Tracking Survey (CHARLS) to analyse the middle-aged and elderly population between 2011 and 2020. The exposure variable was TG/HDL-C ratio, the outcome variable was the occurrence of heart disease (including myocardial infarction, coronary heart disease, etc.), and the covariates included age, gender, education level, and body mass index. The final sample size was 4,551 participants. Weighted Cox regression models were used to assess the association between TG/HDL-C and CVD risk, and nonlinear associations and stratified analyses were performed. The results demonstrated a significant association between TG/HDL-C ratios and cardiac morbidity, with a risk ratio of 0.71 (95% CI: 0.71-0.71) in the adjusted model II. Nonlinear analysis revealed a threshold effect. Within the TG/HDL-C 0.15-1.5 interval (inflection point LnTG/HDL-C 0.41), each 1-unit increase in Ln (TG/HDL-C) was associated with a 17% reduction in the risk. The inflection point was associated with a 0.83-fold reduction in the risk of CVD (95% CI: 0.75, 0.92; p = 0.0003), but beyond this point, the association was no longer significant (1.00-fold reduction in risk; 95% CI: 0.95, 1.05; p = 0.9701). In contrast, stratified analyses demonstrated that the results were more applicable to women and those younger than 65 years. In summary, the study found a significant inverse relationship between the triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio and the risk of cardiovascular disease in the middle-aged and elderly Chinese population, with a nonlinear threshold effect observed at a TG/HDL-C ratio of around 1.5.

Triglyceride-glucose index predicts postoperative overall survival in hepatocellular carcinoma: a retrospective cohort study.

Insulin resistance is important in hepatocellular carcinoma (HCC) carcinogenesis and progression. The triglyceride-glucose (TyG) index, triglyceride to high-density lipoprotein cholesterol (TG/HDL-c) ratio or TyG-body mass index (TyG-BMI) are three non-invasive parameters for insulin resistance. However, their prognostic role in HCC patients undergoing hepatectomy remains unclear. HCC patients who underwent hepatectomy at the Meizhou People's Hospital from May 2011 to February 2023 were retrospectively explored. Patients were classified into high and low groups based on different TyG, TG/HDL-c, and TyG-BMI indices. The prognostic role of TyG, TG/HDL-c, and TyG-BMI was evaluated using Kaplan-Meier analysis and Cox regression models. A nomogram incorporating significant prognostic factors was constructed and validated. A lower TyG, lower TG/HDL-c, and lower TyG-BMI were linked to worse overall survival (OS) in HCC patients. Multivariate analysis indicated the TyG index, but not the TG/HDL-c and TyG-BMI index, could independently predict HCC OS. The nomogram incorporating the TNM stage and TyG index demonstrated good calibration, discriminative ability, and clinical benefit for predicting OS in HCC patients. The TyG index could independently predict HCC OS after hepatectomy in this cohort. The nomogram incorporating the TyG index may aid in the prognosis management of HCC.

Abstract 4125511: L-shaped association of non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and arterial stiffness: a cross-sectional study

Background: Serum lipids and ratios are known to be associated with cardiovascular disease (CVD). However, studies on NHHR and the association with arterial stiffness in the US population have not been reported. We sought to investigate the relationship between NHHR and arterial stiffness by arterial stiffness in subjects from the US population assessed by ePWV. Methods: This study included 23, 456 adults from the National Health and Nutrition Examination Survey (NHANES) spanning from 2007 to 2016. Multivariate linear regression analysis, threshold effects, smooth curve fitting, and subgroup analysis. We aimed to elucidate the relationship between NHHR and risk of arterial stiffness. Results: The mean age of the population in this study was 49.56 ± 17.58 yrs. The mean NHHR was 2.97 ± 1.48, and in the fully adjusted model, a negative correlation was observed between NHHR and ePWV scores (β = -0.01, 95% CI: -0.02, -0.00), with the highest tertile of the NHHR having a mean ePWV score that was 0.06 units lower than the lowest quartile of the NHHR by 0.06 units (β = -0.06, 95% CI: -0.09, -0.02; P for trend = 0.0068). An L-shaped relationship between NHHR and ePWV scores was found by using smoothed curve fitting. The cutoff value was 2.13, and in the hypertensive population, the cutoff value was 1.93. Conclusions: There is an L-shaped association between NHHR levels and atherosclerosis in adults in the United States, and controlling NHHR is clinically important for reducing the risk of developing atherosclerosis.

High-density lipoprotein cholesterol to c-reactive protein ratio predicts atrial fibrillation recurrence after electrical cardioversion.

Atrial fibrillation (AF) recurrence after cardioversion is common, and inflammation plays a critical role in its pathophysiology. We aimed to elucidate the predictive role of the ratio of high-density lipoprotein cholesterol to c-reactive protein (HDL-C/CRP) as an inflammatory marker in AF recurrence after electrical cardioversion (ECV). We analyzed patients who underwent elective ECV for atrial fibrillation between June 2020 and December 2023. Baseline levels of HDL-C and CRP were obtained. Ninety-six patients were included. The median age was 59 years, and 48% were female. Atrial fibrillation recurred after ECV in 56 patients (58%). In the AF recurrence group, CHA2DS2-VASc score was higher (2 [1-3] vs. 1[0-2]; p = 0.013), left atrial diameter was larger (43 ± 5 vs. 40 ± 6 mm; p = 0.015), and HDL-C/CRP ratio was lower (5.6 [2.7-13.0] vs. 14.0 [4.8-38.0]; p = 0.003) compared with the sinus rhythm group. Cox regression analysis showed that HDL-C/CRP was a predictor of AF recurrence at follow-up (unadjusted HR = 0.97; CI 95%: 0.95-0.99; p = 0.004; adjusted HR = 0.98; CI 95%: 0.96-0.99; p = 0.030). ROC curve showed that HDL-C/CRP ratio was able to predict AF recurrence after ECV (AUC = 0.68; p = 0.003). Kaplan-Meier analysis showed that patients with baseline HDL-C/CRP <7.4 had higher AF recurrence (log-rank test p = 0.013). Our research demonstrated that the lower HDL-C/CRP ratio predicted AF recurrence after ECV during follow-up.

The serum uric acid/high-density lipoprotein cholesterol ratio: a novel predictor for the presence of abdominal aortic aneurysm

ObjectiveRobust evidence has demonstrated that inflammation plays an important role in the occurrence and development of abdominal aortic aneurysms (AAA). The serum uric acid (UA)/high-density lipoprotein cholesterol (HDL-C) ratio (UHR) has recently been recognized as a new biomarker for evaluating inflammatory and anti-inflammatory interactions. However, whether UHR is associated with AAA remains unclear. This study aimed to explore the association between UHR and presence of AAA.MethodsWe prospectively performed a hospital-based and community-based AAA screening program using ultrasonography in 9,064 individuals at Guangdong Provincial People’s Hospital and two communities in China. Logistic regression analysis was used to explore the association between UHR and presence of AAA. In addition, the restricted cubic spline (RCS) regression method was used to visually investigate the dose-response relationship between UHR and the presence of AAA. Propensity score matching (PSM) analysis was conducted to adjust for baseline variations and diminish selection bias, and subgroup analysis was performed to investigate the consistency of the conclusions.ResultsThe prevalence of AAA was 2.45% (222/9,064) in the present study. The optimal cut-off value of UHR was 17.0%, which was selected according to the receiver operator characteristic curve. The prevalence of AAA was 3.96% in the high-UHR group (UHR ≥ 17%) and 1.54% in the low-UHR group (UHR &amp;lt; 17%) (P &amp;lt; 0.001). After adjusting for other relevant clinical covariates, UHR was independently associated with the presence of AAA, either as a continuous variable (odds ratio [OR] 1.03, 95% confidence intervals [CI] 1.01–1.05, P &amp;lt; 0.001) or as a categorical variable (OR 1.63, 95% CI 1.18–2.26, P = 0.003). The RCS curve showed a nonlinear dose-response relationship between UHR and the presence of AAA. Moreover, the positive correlation between UHR and the presence of AAA remained significant after PSM and subgroup analyses.ConclusionsUHR was positively associated with the presence of AAA, and there was a non-linear dose-response relationship between them. Thus, UHR may serve as a novel and reliable predictor of AAA.

Triglyceride to high-density lipoprotein cholesterol ratio is associated with diabetes incidence in non-obese individuals with normoglycemia: a retrospective cohort study based on individuals from East Asia

BackgroundAlthough several studies have explored the association between the triglyceride to high-density lipoprotein cholesterol ratio (TG/HDL-c) and diabetes risk, most of these studies are cross-sectional and typically involve small sample sizes, limiting the ability to draw causal inferences. Additionally, there is currently a few studies specifically focusing on non-obese individuals. Consequently, we conducted a retrospective cohort study to investigate the impact of TG/HDL-c on the risk of developing diabetes among non-obese, normoglycemic individuals across East Asian countries.MethodsThis secondary retrospective cohort study recruited 85,029 non-obese individuals with normal glycemic levels from East Asian countries (China and Japan). We employed Cox proportional hazards regression models, incorporating cubic splines function for smooth curve fitting and using two-piecewise Cox regression for threshold effect analysis, to evaluate the nonlinear associations between baseline TG/HDL-c ratios and diabetes risk in non-obese individuals with normoglycemia. In addition, A range of subgroup and sensitivity analyses were performed to confirm the robustness of our results.ResultsAmong the individuals included, the average age was 42.14 ± 11.88 years, and 37,944 participants (44.62%) were male. After adjusting for covariates, the study revealed a significant correlation between the TG/HDL-c ratio and the risk of diabetes among non-obese individuals (HR=1.37, 95%CI: 1.22-1.54). Furthermore, a non-linear correlation was observed between the TG/HDL-c ratios and the incidence of non-obese diabetes, with an inflection point of 1.36. Under this threshold, the TG/HDL-c ratio notably boosts diabetes risk in non-obese populations, with an HR of 2.38 (95% CI: 1.57-3.59). Conversely, beyond the critical juncture, the upsurge in diabetes risk seems to level off, displaying no significant variation, with an HR of 1.18 (95% CI: 0.98-1.41).ConclusionsThis study reveals a non-linear association between the TG/HDL-c ratios and the likelihood of diabetes in non-obese individuals from East Asia. Maintaining a ratio of TG/HDL-C below 1.36 significantly reduces diabetes risk. However, once the ratio of TG/HDL-C exceeds 1.36, reducing it does not substantially lower diabetes onset risk.

The correlation between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) with non-alcoholic fatty liver disease: an analysis of the population-based NHANES (2017–2018)

Background/objectiveNon-alcoholic fatty liver disease (NAFLD) encompasses a spectrum of liver disorders, from benign steatosis to more severe conditions like non-alcoholic steatohepatitis, with risks of progressing to fibrosis, cirrhosis, and hepatocellular carcinoma. The non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) indicates lipid metabolic dysregulation and is associated with increased risks of various diseases. This study examines the relationship between NHHR and NAFLD to evaluate NHHR as a potential predictive biomarker for NAFLD.MethodsData from the 2017–2018 National Health and Nutrition Examination Survey (NHANES) were used for cross-sectional analysis. After excluding individuals with incomplete data, hepatitis infections, heavy alcohol use, and those under 18, the study included 2,757 adults. The relationship between NHHR and NAFLD was analyzed using multivariable logistic regression, including subgroup analysis and interaction testing.ResultsAmong the 2,757 participants (mean age 49.91 years), 44.9% had NAFLD. NHHR showed a significant positive association with NAFLD, with an unadjusted odds ratio (OR) of 1.71 and a fully adjusted OR of 1.45. Quartile analysis revealed a 228% higher prevalence of NAFLD in the highest NHHR quartile, with an OR of 3.28. This positive association was consistent across various subgroups.ConclusionOur findings suggest that elevated NHHR is positively correlated with the prevalence of NAFLD and possesses predictive value. We recommend that future research validate the clinical utility of NHHR, particularly for early detection of high-risk individuals and guiding personalized interventions.

Exploring the associations and potential mediators between lipid biomarkers and the risk of developing gout: NHANES 2007–2018

BackgroundGout stands as a prevailing manifestation of inflammatory arthritis. While it is linked to several well-established risk factors, the associations between lipid profiles and the risk of gout remain unclear.MethodsThis research involved National Health and Nutrition Examination Survey data (2007–2018). The cardiometabolic index, which incorporates the Triglycerides (TG)/High-density lipoprotein cholesterol (HDL) ratio and waist to height ratio (WHtR), was used to assess lipid profiles and metabolic health. Multivariate logistic regression analysis, propensity score matching, and mediation analyses were utilized to evaluate the associations of lipid profiles and the cardiometabolic index with the risk of developing gout.ResultsAmong 11,032 participants, each 1-unit increase in TG levels was associated with a 65% increase in the odds of developing gout before matching [1.65 (1.15–2.38), P = 0.007] and a 155% increase in the odds of developing gout after matching [2.55 (1.59–4.09), P = 0.007]. Each 1-unit increase in the cardiometabolic index was linked to an 81% increase in the odds of developing gout before matching [1.81 (1.22–2.70), P = 0.004] and a 215% increase in the odds of developing gout after matching [3.15 (1.84–5.40), P < 0.001]. The participants with HDL levels in the third quartile presented a 35% reduction in gout risk relative to those with HDL levels in the first quartile before matching [0.65 (0.46–0.92), P = 0.014] and a 51% reduction in gout risk after matching [0.49 (0.32–0.75), P < 0.001]. Mediation analyses revealed that BMI, WHtR, and homeostatic model assessment for insulin resistance (HOMA-IR) mediated the relationships between TG levels and the risk of developing gout at 18.75%, 24.28%, and 5.35%, respectively. For the association between HDL levels and the risk of developing gout, the mediating effects of BMI, WHtR, leukocytes, γ-glutamyltransferase (in those with HDL < 56 mmol/L), and HOMA-IR were 57.98%, 69.03%, 8.77%, 5.18%, and 11.14%, respectively.ConclusionThis study reveals the relationship between lipid profiles and the risk of developing gout. Regularly checking TG and HDL levels and actively managing obesity, insulin resistance, oxidative stress and inflammation are important for lowering the risk of developing gout.

Serum triglyceride to high density lipoprotein cholesterol ratio in late pregnancy as a potential predictor of adverse birth outcomes: an analysis of real-world data

BackgroundThe association between serum triglyceride to high density lipoprotein cholesterol ratio (THR) in late pregnancy and adverse birth outcomes (ABO) remains controversial because of inconsistent results. The present study assessed the association between maternal serum THR and incidence of ABO [preterm birth (PTB), small and large for gestational age (SGA/LGA), low birth weight (LBW) and macrosomia] in a Chinese population.MethodsA total of 11,553 consecutive participants from a real-world database with data on lipid profiles and birth outcomes were included. Logistic regression models were applied to assess the association between THR and incident ABO. Mediation analysis was performed to investigate the contribution of pregnancy complications [gestational diabetes mellitus (GDM), intrahepatic cholestasis of pregnancy (ICP) and pre-eclampsia (PE)] to this association.ResultsApproximately 6.6% (762/11,553), 8.9% (1023/11,553), 15.5% (1792/11,553), 4.3% (494/11,553), and 7.4% (851/11,553) of individuals developed PTB, SGA, LGA, LBW and macrosomia, respectively. Significant trends across the quintiles of THR toward decreasing incidence of SGA and LBW and increasing incidence of LGA and macrosomia were observed. The multivariate-adjusted odds ratios (OR) in the top quintile of serum THR (> 3.16) versus the bottom quintile (< 1.44) were 0.52 for PTB, 0.48 for SGA, 0.64 for LBW, 2.80 for LGA and 3.80 for macrosomia, respectively. A 1-standard deviation (SD) increase in serum THR was associated with decreased risk of PTB [OR = 0.84, 95% confidence interval (CI): 0.76–0.93), SGA (OR = 0.71, 95% CI:0.65–0.78) and LBW (OR = 0.76, 95% CI:0.65–0.90) and increased risk of LGA (OR = 1.40, 95% CI:1.32–1.49) and macrosomia (OR = 1.49, 95% CI:1.38–1.62). In mediation analyses, PE mediated − 19.8%, -10.6% and − 24.6% of THR-associated PTB, SGA and LBW, respectively, GDM accounted for − 3.7%, 6.8% and 4.3% of THR-associated PTB, LGA and macrosomia, respectively, and ICP explained − 1.9% and − 2.1% of THR-associated PTB and LBW, respectively. In addition, incorporating THR to ABO predictive models significantly improved the area under the curve for SGA (0.743 vs. 0.753, P < 0.001), LGA (0.734 vs. 0.745, P < 0.001) and macrosomia (0.786 vs. 0.800, P < 0.001).ConclusionReal-world data showed an association between serum THR in late pregnancy and ABO risk, and this association may be partially mediated by prevalent pregnancy complications (PE/GDM/ICP), suggesting a potential role of THR in predicting ABO (SGA/LGA/macrosomia).

Association between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) with depressive symptoms: recent findings from NHANES 2005–2018

BackgroundThe ratio of non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol (NHHR) index is a relatively new composite lipid index, the relationship between NHHR and depression is unclear from the current study. The primary aim of our study was to examine the association between the prevalence of depression and NHHR in a US population.MethodsThe National Health and Nutrition Examination Survey (NHANES) provided the data for our investigation from 2005 to 2018. and primarily included participants who contained complete data on NHHR and depression in U.S. adults (age ≥20 years). Associations between NHHR and depression were assessed using multifactorial logistic regression analysis, subgroup analysis, and smoothed curve fitting.ResultsIn our study, 29,561 subjects in total showed a mean NHHR index of 3.12± 1.58,A noteworthy positive correlation was observed between NHHR and depression in multifactorial logistic regression analysis. Subgroup analyses and tests of interaction showed that gender, age, ethnicity, PIR, smoking, alcohol consumption, coronary heart disease, diabetes mellitus, hypertension, and stroke did not influence the NHHR and the association between depression (P for interaction &amp;gt; 0.05), whereas two stratification factors, BMI and sleep disturbance, may be potential factors in the association between NHHR and depression (P for interaction &amp;lt; 0.05).ConclusionAccording to our present study, if the level of NHHR rises in American adults, their likelihood of developing depression also increases.

Association between monocyte to high-density lipoprotein cholesterol ratio and telomere length: based on NHANES 1999–2002

BackgroundTelomere length is closely associated with the occurrence and development of cardiovascular and other diseases. Monocyte to high-density lipoprotein cholesterol ratio (MHR) is a novel indicator of inflammation, oxidative stress, and metabolic syndrome, with some predictive ability for related disease risks in clinical practice. However, there is no research on the correlation between these two factors.MethodsUsing data from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2002, we conducted analysis and research on the correlation between MHR and telomere length using the Kruskal-Wallis H test, Spearman rank correlation analysis, and partial correlation analysis. Weighted linear regression analysis assessed the strength of the association between the two variables, while restricted cubic spline regression (RCS) explored potential nonlinear relationships between them.ResultsThe results of correlation analysis showed that MHR levels were negatively correlated with telomere length (ρ=-0.083, P < 0.001), and this relationship remained statistically significant after controlling for other covariates (P all < 0.001). Weighted linear regression analysis showed that after adjusting for all covariates, MHR remained negatively associated with telomere length (β = -0.020; 95% CI: -0.039 to -0.002; P = 0.037). Subgroup analysis shows that the negative association between MHR and telomere length appeared more striking among females (\U0001d6fd = -0.024; 95%CI: -0.050 to 0.001; P = 0.058), the Non-Hispanic White (\U0001d6fd = -0.022; 95%CI: -0.045 to 0.002; P = 0.066), and other race (\U0001d6fd = -0.067; 95%CI: -0.134 to -0.000; P = 0.049). Using RCS explored potential nonlinear relationships between MHR and telomere length, revealing no nonlinear relationship between the two (P = 0.102).ConclusionsThis study suggests a negative correlation between MHR levels and telomere length in American adults. More comprehensive research is needed to confirm these findings in the future.

Association between the triglyceride to high density lipoprotein cholesterol ratio and the incidence of metabolic dysfunction-associated fatty liver disease: a retrospective cohort study

BackgroundThe triglyceride to high density lipoprotein cholesterol ratio (TG/HDL-C) is a confirmed predictive factor for insulin resistance and is suggested to be closely related to metabolic dysfunction-associated fatty liver disease (MAFLD), but previous research is inconclusive. The association between TG/HDL-C and MAFLD incidence was further explored in this large-sample, long-term retrospective cohort study.MethodsIndividuals who participated in the Kailuan Group health examination from July 2006 to December 2007 (n = 49,518) were included. Data from anthropometric and biochemical indices, epidemiological surveys, and liver ultrasound examinations were collected and analysed statistically, focusing on the association between TG/HDL-C and the incidence of MAFLD.ResultsDuring a mean follow-up period of 7.62 ± 3.99 years, 24,838 participants developed MAFLD. The cumulative MAFLD incidence rates associated with the first to fourth quartiles of TG/HDL-C were 59.16%, 65.04%, 71.27%, and 79.28%, respectively. The multivariate Cox proportional hazards regression model revealed that the hazard ratios (HRs) (95% CIs) for MAFLD in the second, third, and fourth quartiles were 1.20 (1.16–1.25), 1.50 (1.45–1.56), and 2.02 (1.95–2.10) (P for trend < 0.05), respectively, and the HR (95% CI) corresponding to an increase of one standard deviation in TG/HDL-C was 1.10 (1.09–1.11) (P < 0.05). Subsequent subgroup and sensitivity analyses yielded results similar to those of the main analyses.ConclusionsTG/HDL-C is independently associated with MAFLD risk, with higher TG/HDL-C indicating greater MAFLD risk.

Comparative study of insulin resistance surrogate indices to predict mild cognitive impairment among Chinese non-diabetic adults

ObjectiveThe study aims to investigate the associations of triglyceride glucose (TyG), TyG combined with body mass index (TyG-BMI), metabolic score for insulin resistance (METS-IR), the triglyceride to high-density lipoprotein cholesterol ratio (TG/HDL-C), and the risk of mild cognitive impairment (MCI) in individuals without diabetes aged 45 and above.MethodsThe most recent data in this study were from a cohort study, which sourced samples from the China Health and Retirement Longitudinal Study, spanning 2011 to 2018. The four indices’ associations with MCI risk were analyzed using logistic regression. The predictive capacity was measured using the receiver operating characteristic (ROC) curve.ResultsOver a 7-year follow-up, 1,261 individuals (31.34%) of the 4,027 participants developed MCI. Logistic regression analysis revealed significant associations between these surrogate indices and MCI. The findings for the highest quartile compared with the lowest quartile were as follows: TyG: 1.24 (95% CI: 1.02, 1.49); TyG-BMI: 1.38 (95% CI: 1.13, 1.68); METS-IR: 1.50 (95% CI: 1.09, 2.06); TG/HDL-C: 1.34 (95% CI: 1.10, 1.64). ROC analysis revealed that TyG, TyG-BMI, TG/HDL-C, and METS-IR demonstrated excellent discriminatory power for MCI, with area under the curve (AUC) values of 0.82 (95% CI: 0.80, 0.83), 0.82 (95% CI: 0.80, 0.83), 0.83 (95% CI: 0.80, 0.84), and 0.83 (95% CI: 0.80, 0.84), respectively. The four indices showed stronger ability to predict MCI risk in females compared to males.ConclusionElevated levels of four indices are positively correlated with MCI risk. TyG-BMI and METS-IR demonstrate stronger capabilities in identifying MCI across both male and female populations. This suggests that early intervention in patients with elevated IR surrogate indices may help reduce the MCI.

Association Between Non-HDL to HDL Cholesterol Ratio (NHHR) and Psoriasis in Adults: A Cross-Sectional Study Using 2009-2014 Data.

Because of its possible significance in metabolic diseases, the non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) has garnered attention as a novel and trustworthy lipid biomarker. Psoriasis may be linked to metabolic problems and obesity, according earlier research. Uncertainty surrounds the relationship between NHHR and the onset of psoriasis, though. The primary aim of this investigation was to examine the relationship between NHHR and psoriasis. This cross-sectional analysis used data from the National Health and Nutrition Examination Survey (NHANES) conducted between 2009 and 2014. The association between psoriasis and NHHR was examined using multivariate logistic regression, and smoothed curve fitting was done to explore the non-linear relationship. Furthermore, Subgroup and sensitivity studies were performed in order to confirm the robustness of the findings. Psoriasis and NHHR were shown to be positively correlated in 15,951 adult individuals who were at least 20 years old. Psoriasis risk rose by 7% for each unit increase in NHHR [1.07 (1.01, 1.14)]. Individuals in the highest NHHR tertile were 39% more likely compared to those in the bottom tertile to have psoriasis [1.39 (1.09, 1.78)]. Across subgroups, this favorable connection remained consistent. Elevated NHHR levels are positively correlated with an upsurge chance of psoriasis in the adult population in the United States. The significance of NHHR as an indication for early psoriasis risk assessment is shown by this study.

Comparison of SPISE and METS-IR and Other Markers to Predict Insulin Resistance and Elevated Liver Transaminases in Children and Adolescents.

Studies on predictive markers of insulin resistance (IR) and elevated liver transaminases in children and adolescents are limited. We evaluated the predictive capabilities of the single-point insulin sensitivity estimator (SPISE) index, metabolic score for insulin resistance (METS-IR), homeostasis model assessment of insulin resistance (HOMA-IR), the triglyceride (TG)/ high-density lipoprotein cholesterol (HDL-C) ratio, and the triglyceride-glucose index (TyG) for IR and alanine aminotransferase (ALT) elevation in this population. Data from 1,593 participants aged 10 to 18 years were analyzed using a nationwide survey. Logistic regression analysis was performed with IR and ALT elevation as dependent variables. Receiver operating characteristic (ROC) curves were generated to assess predictive capability. Proportions of IR and ALT elevation were compared after dividing participants based on parameter cutoff points. All parameters were significantly associated with IR and ALT elevation, even after adjusting for age and sex, and predicted IR and ALT elevation in ROC curves (all P<0.001). The areas under the ROC curve of SPISE and METS-IR were higher than those of TyG and TG/HDL-C for predicting IR and were higher than those of HOMA-IR, TyG, and TG/HDL-C for predicting ALT elevation. The proportions of individuals with IR and ALT elevation were higher among those with METS-IR, TyG, and TG/ HDL-C values higher than the cutoff points, whereas they were lower among those with SPISE higher than the cutoff point. SPISE and METS-IR are superior to TG/HDL-C and TyG in predicting IR and ALT elevation. Thus, this study identified valuable predictive markers for young individuals.

Lipids as the link between central obesity and diabetes: perspectives from mediation analysis

BackgroundCentral obesity is a well-recognized risk factor for diabetes, yet the potential role of lipids in the diabetes risk associated with central obesity remains unclear. This study aimed to explore the possible mediating role of 11 lipid parameters [high-density lipoprotein cholesterol (HDL-C), total cholesterol (TC), non-high-density lipoprotein cholesterol (Non-HDL-C), low-density lipoprotein cholesterol (LDL-C), triglycerides (TG), remnant cholesterol (RC), and ratios of Non-HDL-C/HDL-C, RC/HDL-C, LDL/HDL-C, TG/HDL-C, TC/HDL-C] in the association of central obesity with diabetes risk.MethodsWe utilized data from 15,453 participants in the NAGALA longitudinal cohort to assess the association of baseline central obesity indicators [waist-height ratio (WHtR), waist circumference (WC)] and the 11 lipid parameters with diabetes risk. Mediation analysis models were constructed to explore the mediating role of lipid parameters in the association of WC/WHtR with diabetes.ResultsConfirmatory associative analysis using multivariable Cox regression showed that, except for Non-HDL-C, TC and LD-C, the remaining eight lipid parameters were significantly associated with WC/WHtR and diabetes risk. Mediation analysis indicated that TG, RC, HDL-C, and lipid ratios such as Non-HDL-C/HDL-C ratio, RC/HDL-C ratio, TG/HDL-C ratio, TC/HDL-C ratio and LDL/HDL-C ratio are potential lipids affecting the diabetes risk related to central obesity. Among these, the RC/HDL-C ratio seemed to contribute the most in the WC/WHtR-related diabetes risk association, with a mediation percentage of about 37%. Additionally, lipid ratio parameters appeared to play a more mediating role in the association of central obesity-related diabetes risk than individual lipids.ConclusionsIn central obesity-related diabetes risk, most lipids, especially lipid ratio parameters, play a significant mediating role. Given these findings, we advocate for increased efforts in multifactorial risk monitoring and joint management of diabetes. The evaluation of lipids, particularly lipid ratio parameters, may be holds substantial value in the prevention and management of diabetes risk under close monitoring of central obesity.

Predicting atrial fibrillation within 7 years follow-up using machine learning models

Abstract Background The prevalence of atrial fibrillation (AF), the most common type of cardiac arrhythmia, has increased globally. AF is also the leading cardiac factor for several cardiovascular and cerebrovascular events. Early prediction and treatment of AF prevents major cardiovascular and cerebrovascular events. Purpose Our objective is to predict AF risk within 7-years follow-up using only twelve basic factors and applying machine learning (ML) models. Methods Data from the German epidemiological trial on ankle brachial index (getABI) were utilized in this work. GetABI includes 6,457 patients with mean age of 72.53 years. 3,985 individuals were assessed for AF of which 393 patients suffered from AF at 7-years follow-up. The feature selection was initially done manually, ending up in 45 features. The 10 best features were extracted from this dataset according to the SHAP (SHapley Additive exPlanations) values. The final features were body mass index, sensitive CRP, cholesterol, LDL-cholesterol, troponin I, NT-pro-BNP, glomerular filtration rate, ratio of triglycerides and HDL-cholesterol, gamma-GT, heart rate, including age and sex as major factors. The handling of missing values was achieved by SimpleImputer, estimating the mean values. XGBoost and Random Forest predicted AF. Logistic Regression was also used as a baseline model. The data were split into training and test set and ML models were applied for 100 iterative runs, extracting results with mean values. Results XGBoost was the most accurate model, predicting the AF with 71.19 % mean accuracy, 66.37 % mean sensitivity and 75.61 % mean specificity. Figure 1 depicts the performance of all models. Additionally, Receiver Operating Characteristic Curve (ROC) and Area Under Curve (AUC) for each model are presented in Figure 2. XGBoost also outperformed all the others models, achieving the highest mean AUC value, equal to 70.99 %. Contrariwise, logistic regression had the lowest overall performance. Conclusion ML models, specifically XGBoost, achieved accurate AF prediction in 3,985 individuals utilizing only twelve clinical-routine data.Evaluation results of each used model.ROC curve and AUC value of each model.

Utility of the triglycerides/HDL cholesterol ratio in older adult patients in Colombia

Abstract Introduction Alterations in lipid metabolism are responsible for atherogenesis and an increased risk of atherosclerotic cardiovascular disease. The triglycerides to high-density lipoprotein cholesterol ratio (TG/HDL-C) is used to assess the risk of cardiovascular diseases; however, it has not been evaluated in older adults. The aim of the present study is to evaluate the TG/HDL-C ratio in elderly patients and analyze its correlation and discriminatory capacity with cardiovascular risk factors according to data from the SABE Colombia survey. Purpose Describe the sociodemographic characteristics, cardiovascular history, lifestyle, and cardiovascular risk score in the older adult population included in the SABE Colombia Study.Describes the distribution of triglyceride levels, cholesterol, and the TAG-HDL ratio in the older adult population included in the SABE Colombia Study. Evaluate the relationship between the TAG/HDL Cholesterol Index and cardiovascular risk factors such as hypertension, prediabetes, type 2 diabetes mellitus, cardiovascular disease, cerebrovascular disease Determine if there is a correlation and the degree of correlation between the TAG/HDL Cholesterol ratio and variables related to higher cardiovascular risk and stablish cutoff points of the triglyceride to HDL cholesterol ratio as indicators of the onset of risk factors Materials and Methods Cross-sectional study in adults aged 60 years and older included in the national SABE Colombia survey (National Survey of Health, Well-being, and Ageing conducted in Colombia in 2015), which included 244 municipalities from all departments of the country. A correlation test was performed to assess the presence and degree of correlation between the TAG/HDL index and cardiovascular risk factors, and ROC curve analysis was conducted to evaluate the performance of the TAG/HDL index in identifying risk factors. Results A total of 23,694 patients with the necessary information for the study were included. The median age was 69 years, 57.3% were women, and 34.3% were of white race. 23.5% had hypertension, and 16.4% had diabetes mellitus. 13.4% had a history of cardiovascular disease, and 2.5% had cerebrovascular disease. While the specific correlation between the index and different cardiovascular risk factors is generally low to moderate, good discriminatory capacity was found for diabetes and metabolic syndrome with the following values: diabetes, with an area under the curve (AUC) of 0.871 and a cut-off point of 9.17; and for metabolic syndrome, the AUC was 0.840, with a cut-off point of 8.81. Conclusions Our findings show that the TG/HDL ratio has intermediate correlation for different cardiovascular risk factors; however, it has excellent predictive ability for the presence of diabetes and metabolic syndrome. These findings are very useful in the clinical evaluation, screening, and detection of cardiovascular risk factors in the population aged 60 years and older in Colombia.Scatter plots of TAG/HDL ratio comparedROC curves for diabetes and metabolic s

Measures of insulin resistance and aortic valve calcification in the general population

Abstract Background Insulin resistance (IR) is a key component in several cardiovascular risk factors. The triglyceride-glucose index (TyG index), triglyceride to high density lipoprotein-cholesterol ratio (TG/HDL-C) and visceral adiposity index (VAI) are easily accessible surrogate measures of IR and have been associated with coronary artery calcification and other cardiovascular diseases. Less is known about IR and aortic valve calcification (AVC). Purpose To investigate the association between different measures of IR (TyG index, TG/HDL-C, VAI) and AVC. Method The Swedish Cardiopulmonary Bioimage Study (SCAPIS) recruited 30 154 randomly selected individuals aged 50 to 64 years from the general population in Sweden between 2013 to 2018. AVC was assessed visually on cardiac computed tomography and categorized as present or absent. TyG index was calculated based on triglyceride and glucose levels, TG/HDL-C ratio using triglyceride and HDL-C levels and VAI using waist circumference, triglyceride and HDL-C levels. The association between IR indexes (as continuous variables by 1 unit increment and categorical variables by quartiles) and AVC was assessed using multivariable logistic regression models. Results In total, measures of IR were available in 29 268 participants of whom 2118 (7%) had AVC. Mean IR index levels were higher in participants with compared to without AVC (TyG index: 8.65 vs. 8.49; p&amp;lt;0.01; TG/HDL-C: 1.11 vs. 0.91; p&amp;lt;0.01 and VAI: 1.73 vs. 1.48; p&amp;lt;0.01). All three indices of IR were associated with AVC in continuous analyses. Subsequently, in multivariable logistic regressions adjusted for age, sex, study site and smoking, there was a stepwise increase in the risk of AVC with increasing quartiles of TyG index, TG/HDL-C and VAI (Figure 1). Conclusion Three different surrogate measures of IR (TyG index, TG/HDL-C and VAI) were all associated with AVC in a middle-aged general population suggesting that they could all be used as risk markers in clinical practice.