High-density Lipoprotein Cholesterol Ratio Research Articles

An internet-based platform with a low-calorie dietary intervention improves cardiometabolic risk factors in overweight and obese people in China: Half-year follow-up results of a randomized controlled trial.

To explore the effectiveness of the Metawell programme on cardiometabolic risk factors in China, which combines meal replacement biscuits, a wireless scale, and a mobile phone application. In this two-arm, parallel-design randomized study, 220 participants were randomly assigned to an intervention (n = 110) and a control (n = 110) group. Participants in the intervention group were instructed to use meal replacement products and scales for weight loss and monitoring, whereas participants in the control group received printed materials containing a sample diet and face-to-face weight loss education at enrolment. The trial lasted 6 months, including a weight loss period in Months 1-3 and a weight maintenance period in Months 3-6. Generalized estimating equations were used to compare differences between the two groups. The median (interquartile range) ages of the intervention and control groups were 32.00 (28.00, 39.00) years and 33.00 (28.25, 41.00) years, with body mass indices of 28.20 (26.30, 30.95) kg/m2 and 27.70 (26.02, 29.70) kg/m2, respectively. Participants in the intervention group experienced significantly greater decreases in waist circumference, hip circumference, triglycerides, total cholesterol: high-density lipoprotein cholesterol ratio, fasting blood glucose, fasting insulin, and homeostatic model assessment of insulin resistance index compared to the control group (p < 0.01). Among participants who did not regain weight during the maintenance period after weight loss, the reductions in systolic and diastolic blood pressure were significantly greater in the intervention group than in the control group (p < 0.05). The Metawell programme of caloric restriction and remote monitoring can be adapted to overweight and obese people in China to reduce their cardiometabolic risk factors. Furthermore, there was a better improvement in blood pressure in participants who maintained the effects of weight loss.

The High-Sensitivity C-Reactive Protein to High-Density Lipoprotein Cholesterol Ratio and the Risk of Contrast-Induced Acute Kidney Injury in Patients Undergoing Percutaneous Coronary Intervention.

The high-sensitivity C-reactive protein to high-density lipoprotein cholesterol ratio (CHR) is a novel biomarker associated with coronary artery disease (CAD) risk. This study aimed to analyze the relationship between CHR and contrast-induced acute kidney injury (CI-AKI). This retrospective cross-sectional research included 10,917 individuals who underwent PCI. CI-AKI was diagnosed using the Kidney Disease: Improving Global Outcomes (KIDIGO) standard. Univariate and multivariable logistic regression analyses were conducted to examine the association between CHR and CI-AKI, followed by a receiver operating characteristic (ROC) curve of participants to assess the clinical diagnostic performance of CHR on CI-AKI. A total of 1037 patients (9.50%) developed CI-AKI after PCI. The age of individuals averaged 64.1 ± 11.1 years old, with 2511 females (23.0%). A multivariate logistic regression study revealed that higher CHR levels were linked to higher CI-AKI incidence rates ([Q4 vs. Q1]: odds ratio (OR) = 1.89, 95% confidence interval (CI) [1.42 to 2.54], p < 0.001). A restricted cubic spline analysis revealed a linear association between CHR and CI-AKI. ROC analysis indicated that CHR was an excellent predictor of CI-AKI (area under ROC curve = 0.606, 95% CI [0.588 to 0.624]). A high CHR level is strongly associated with increased CI-AKI incidence, suggesting that CHR may be an independent risk factor for CI-AKI. NCT05050877. https://clinicaltrials.gov/study/NCT05050877?tab=results.

Comparison of the predictive value of four insulin resistance surrogates and hyperuricemia in women with recurrent pregnancy loss: A cross-sectional study.

Insulin resistance (IR), hyperuricemia (HUA), and recurrent pregnancy loss (RPL) elevate the risk of cardiovascular disease and metabolic disorders, while also impacting reproductive health. The relationship between IR, HUA, and RPL has not been thoroughly investigated. This study investigates the relationship between four IR surrogates and the risk of HUA in RPL patients. Data from a real-world study on RPL in China were analyzed using multivariable regression to determine the relationship between HUA and triglyceride and glucose (TyG) index, triglyceride glucose-body mass index (TyG-BMI), triglyceride to high-density lipoprotein cholesterol (TG/HDL-c) ratio, and metabolic score for insulin resistance (METS-IR). The predictive ability of these surrogates for detecting HUA in RPL patients was evaluated using the area under the curve and receiver operating characteristic analysis. Sensitivity analysis was performed using bootstrapping resampling. The study included 769 patients with a mean age of 30 ± 4 years old, 8.32% of whom had HUA. Four IR surrogates were closely related to HUA in patients of RPL after adjusting for age, menstrual cycle, creatinine, alanine transaminase, aspartate transaminase, total cholesterol, homocysteine, and low-density lipoprotein, with area under the curve values of TyG index (OR = 0.693, 95% confidence interval [CI]: 0.626, 0.759), TyG-BMI (OR = 0.731 95% CI: 0.657, 0.805), TG/HDL-C (OR = 0.703, 95% CI: 0.641, 0.764), and METS-IR (OR = 0.728, 95% CI: 0.655, 0.799). Bootstrap resampling yielded similar results. The TyG index, TyG-BMI, TG/HDL-c, and METS-IR significantly correlated with HUA in patients with RPL. The TyG-BMI had the highest predictive value of the four IR surrogates.

Biomarkers and Data Visualization of Insulin Resistance and Metabolic Syndrome: An Applicable Approach.

Type 2 diabetes, prediabetes, and insulin resistance (IR) are widespread yet often undetected in their early stages, contributing to a silent epidemic. Metabolic Syndrome (MetS) is also highly prevalent, increasing the chronic disease burden. Annual check-ups are inadequate for early detection due to conventional result formats that lack specific markers and comprehensive visualization. The aim of this study was to evaluate low-budget biochemical and hematological parameters, with data visualization, for identifying IR and MetS in a community-based laboratory. In a cross-sectional study with 1870 participants in Patras, Greece, blood samples were analyzed for key cardiovascular and inflammatory markers. IR diagnostic markers (TyG-Index, TyG-BMI, Triglycerides/HDL ratio, NLR) were compared with HOMA-IR. Innovative data visualization techniques were used to present metabolic profiles. Notable differences in parameters of cardiovascular risk and inflammation were observed between normal-weight and obese people, highlighting BMI as a significant risk factor. Also, the inflammation marker NHR (Neutrophils to HDL-Cholesterol Ratio) Index was successful at distinguishing the obese individuals and those with MetS from normal individuals. Additionally, a new diagnostic index of IR, combining BMI (Body Mass Index) and NHR Index, demonstrated better performance than other well-known indices. Lastly, data visualization significantly helped individuals understand their metabolic health patterns more clearly. BMI and NHR Index could play an essential role in assessing metabolic health patterns. Integrating specific markers and data visualization in routine check-ups enhances the early detection of IR and MetS, aiding in better patient awareness and adherence.

LDL-c/HDL-c Ratio and NADPH-Oxidase-2-Derived Oxidative Stress as Main Determinants of Microvascular Endothelial Function in Morbidly Obese Subjects.

The identification of obese subjects at higher risk for cardiovascular disease (CVD) is required. We aimed to characterize determinants of endothelial dysfunction, the initial step to CVD, in small omental arteries of visceral fat from obese subjects. The influences of analytical parameters and vascular oxidative stress mediated by NADPH-oxidase-2 (NOX2) on endothelial function were determined. Specimens were obtained from 51 obese subjects undergoing bariatric surgery and 14 non-obese subjects undergoing abdominal surgery. Obese subjects displayed reduced endothelial vasodilation to bradykinin (BK). Endothelial vasodilation (pEC50 for BK) among obese subjects was significantly and negatively associated with low-density lipoprotein cholesterol (LDL-c)/high-density lipoprotein cholesterol (HDL-c) ratio (r = -0.510, p = 0.0001) in both women and men, while other metabolic parameters and comorbidities failed to predict endothelial function. The vascular expression of NOX2 was upregulated in obese subjects and was related to decreased endothelial vasodilation (r = -0.529, p = 0.0006, n = 38) and increased oxidative stress (r = 0.783, p = 0.0044, n = 11) in arterial segments. High LDL-c/HDL-c (>2) and high NOX2 (above median) were independently associated with reduced endothelial function, but the presence of both conditions was related to a further impairment. Concomitant elevated LDL-c/HDL-c ratio and high vascular expression of NOX2 would exacerbate endothelial impairment in obesity and could reveal a deleterious profile for cardiovascular outcomes among obese subjects.

Non-linear association of the platelet/high-density lipoprotein cholesterol ratio with bone mineral density a cross-sectional study

BackgroundNumerous studies have demonstrated shared risk factors and pathophysiologic mechanisms between osteoporosis and cardiovascular disease. High-density lipoprotein cholesterol (HDL-C) and platelets have long been recognized as crucial factors for cardiovascular health. The platelet to HDL-C ratio (PHR) combines platelet count and high-density lipoprotein cholesterol (HDL-C) level, It is a novel biomarker for metabolic syndrome and cardiovascular disease. The platelet to HDL-C ratio (PHR) possibly reflects the balance between proinflammatory and anti-inflammatory states in the body. Therefore, we hypothesized that changes in PHR ratios may predict a predisposition to pro-inflammatory and increased bone resorption. However, the relationship between the platelet to HDL-C ratio (PHR) and bone mineral density (BMD) remains insufficiently understood. This study aimed to elucidate the relationship between the platelet to HDL-C ratio (PHR) index and bone mineral density (BMD).MethodsData from the NHANES 2005–2018 were analyzed, excluding adults with missing key variables and specific conditions. Nonlinear relationships were explored by fitting smoothed curves and generalized additive models, with threshold effects employed to calculate inflection points. Additionally, subgroup analyses and interaction tests were conducted.ResultsThe study included 13,936 individuals with a mean age of 51.19 ± 16.65 years. Fitted smoothed curves and generalized additive models revealed a nonlinear, inverted U-shaped relationship between the two variables. Threshold effect analysis showed a significant negative association between PHR and total femur bone mineral density (BMD) beyond the inflection point of platelet to HDL-C ratio (PHR) 33.301. Subgroup analyses showed that a significant interaction between these two variables was observed only in the age and sex subgroups (P-interaction < 0.05).ConclusionsOur study identified a complex, nonlinear, inverted U-shaped relationship between platelet to HDL-C ratio (PHR) and total femur bone mineral density (BMD). These findings underscore the importance of maintaining optimal PHR levels to support bone health, especially in high-risk populations.

High-sensitivity C-reactive protein to high-density lipoprotein cholesterol ratio predicts long-term adverse outcomes in patients who underwent percutaneous coronary intervention: A prospective cohort study.

High-sensitivity C-reactive protein (hsCRP) to high-density lipoprotein cholesterol (HDL-C) ratio (CHR) is associated with coronary artery disease (CAD), but its predictive value for long-term adverse outcomes in patients with CAD following percutaneous coronary intervention (PCI) remains unexplored and is the subject of this study. Patients with CAD who underwent PCI at the Korea University Guro Hospital-Percutaneous Coronary Intervention (KUGH-PCI) Registry since 2004 were included. Patients were categorized into tertiles according to their CHR. The end points were all-cause mortality (ACM), cardiac mortality (CM) and major adverse cardiac events (MACEs). Kaplan-Meier analysis, multivariate Cox regression, restricted cubic spline (RCS) and sensitivity analyses were performed. A total of 3260 patients were included and divided into Group 1 (CHR <0.830, N = 1089), Group 2 (CHR = 0.830-3.782, N = 1085) and Group 3 (CHR >3.782, N = 1086). Higher CHR tertiles were associated with progressively greater risks of ACM, CM and MACEs (log-rank, p < 0.001). Multivariate Cox regression showed that patients in the highest tertile had greater risks of ACM (HR: 2.127 [1.452-3.117]), CM (HR: 3.575 [1.938-6.593]) and MACEs (HR: 1.337 [1.089-1.641]) than those in the lowest tertile. RCS analyses did not reveal a significant non-linear relationship between CHR and ACM, CM or MACEs. The significant associations remained significant in the sensitivity analyses, RCS analyses with or without extreme values, subgroup analyses and multiple imputations for missing data. Elevated CHR is a novel, independent risk factor for long-term ACM, CM and MACEs in CAD patients following PCI.

Interaction between genetic risk score and dietary fat intake on lipid-related traits in Brazilian young adults.

The occurrence of dyslipidaemia, which is an established risk factor for cardiovascular diseases, has been attributed to multiple factors including genetic and environmental factors. We used a genetic risk score (GRS) to assess the interactions between genetic variants and dietary factors on lipid-related traits in a cross-sectional study of 190 Brazilians (mean age: 21 ± 2 years). Dietary intake was assessed by a trained nutritionist using three 24-h dietary recalls. The high GRS was significantly associated with increased concentration of TAG (beta = 0·10 mg/dl, 95 % CI 0·05-0·16; P < 0·001), LDL-cholesterol (beta = 0·07 mg/dl, 95 % CI 0·04, 0·11; P < 0·0001), total cholesterol (beta = 0·05 mg/dl, 95 % CI: 0·03, 0·07; P < 0·0001) and the ratio of TAG to HDL-cholesterol (beta = 0·09 mg/dl, 95 % CI: 0·03, 0·15; P = 0·002). Significant interactions were found between the high GRS and total fat intake on TAG:HDL-cholesterol ratio (Pinteraction = 0·03) and between the high GRS and SFA intake on TAG:HDL-cholesterol ratio (Pinteraction = 0·03). A high intake of total fat (>31·5 % of energy) and SFA (>8·6 % of energy) was associated with higher TAG:HDL-cholesterol ratio in individuals with the high GRS (beta = 0·14, 95 % CI: 0·06, 0·23; P < 0·001 for total fat intake; beta = 0·13, 95 % CI: 0·05, 0·22; P = 0·003 for SFA intake). Our study provides evidence that the genetic risk of high TAG:HDL-cholesterol ratio might be modulated by dietary fat intake in Brazilians, and these individuals might benefit from limiting their intake of total fat and SFA.

Genome-wide discovery and integrative genomic characterization of insulin resistance loci using serum triglycerides to HDL-cholesterol ratio as a proxy

Insulin resistance causes multiple epidemic metabolic diseases, including type 2 diabetes, cardiovascular disease, and fatty liver, but is not routinely measured in epidemiological studies. To discover novel insulin resistance genes in the general population, we conducted genome-wide association studies in 382,129 individuals for triglyceride to HDL-cholesterol ratio (TG/HDL), a surrogate marker of insulin resistance calculable from commonly measured serum lipid profiles. We identified 251 independent loci, of which 62 were more strongly associated with TG/HDL compared to TG or HDL alone, suggesting them as insulin resistance loci. Candidate causal genes at these loci were prioritized by fine mapping with directions-of-effect and tissue specificity annotated through analysis of protein coding and expression quantitative trait variation. Directions-of-effect were corroborated in an independent cohort of individuals with directly measured insulin resistance. We highlight two phospholipase encoding genes, PLA2G12A and PLA2G6, which liberate arachidonic acid and improve insulin sensitivity, and VGLL3, a transcriptional co-factor that increases insulin resistance partially through enhanced adiposity. Finally, we implicate the anti-apoptotic gene TNFAIP8 as a sex-dimorphic insulin resistance factor, which acts by increasing visceral adiposity, specifically in females. In summary, our study identifies several candidate modulators of insulin resistance that have the potential to serve as biomarkers and pharmacological targets.

Levels of serum lipids predict responses to PD-L1 inhibitors as first-line treatment in small cell lung cancer: an observational study.

Immunotherapy provides new hope to individuals with small cell lung cancer (SCLC). Predicting biomarkers for clinical effects is crucial for SCLC patients receiving programed death-ligand 1 (PD-L1) inhibitor treatment. The aim of this study was to clarify the value of serum lipids as predictors of immune related adverse events (irAEs) and the anti-tumour effects in SCLC patients who received PD-L1 inhibitors as first-line treatment. This study included patients with SCLC who received at least one cycle of PD-L1inhibitors at Shanghai Pulmonary Hospital from August 2020 to December 2023. We collected the clinical data of the SCLC patients, including basic information and serum lipid levels, before immunotherapy. The irAEs rate was 16.1% of 124 enrolled patients. In multivariate analysis, the triglyceride (TG)/high-density lipoprotein cholesterol (HDL-C) ratio was an independent predictor of irAEs (p = 0.045). Tumour response analysis indicated that the objective response rate (ORR) was 43.4% and the disease control rate (DCR) was 79.5%. Seventy-seven patients experienced any progression-free survival (PFS) event. The median PFS was longer in the HDL-C-high group (10.03months) than in the HDL-C-low group (6.67months) (p = 0.043). In Cox regression analysis, the serum HDL-C level was an independent predictor of PFS (p = 0.002). For patients of the high TG/HDL-C ratio, the ORR significantly differed between patients who suffered from any irAEs and those who did not (p = 0.0139). This study found that serum lipid levels might predict the responses to anti-PD-L1 as first-line treatment for SCLC.

The association between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio and chronic obstructive pulmonary disease: the mediating role of dietary inflammatory index.

Numerous studies have indicated a potential correlation between COPD, lipid metabolism, and dietary inflammation. However, the exact mechanisms by which dietary inflammation regulates the pathological processes of COPD related to lipid metabolism remain unclear. NHHR is a novel composite index of atherosclerotic lipid profiles, while the Dietary Inflammatory Index (DII) measures diet-induced inflammation. This study explores the relationship between NHHR and COPD and evaluates whether DII mediates this association. We employed multivariable logistic regression, smooth curve fitting, threshold effect analysis, and subgroup analysis to explore the relationship between NHHR and the incidence of COPD. Additionally, we conducted a mediation analysis to explore the potential relationship between dietary inflammatory index (DII) levels and the relationship between NHHR and COPD. This analysis encompassed 13,452 participants, with 2,332 reporting incidents of COPD. Following adjustment for all covariates using multivariable logistic regression, each unit increase in NHHR level and DII level was associated with a 10% (OR = 1.10, 95% CI: 1.05, 1.16) and 8% (OR = 1.08, 95% CI: 1.04, 1.13) increase, respectively, in the incidence rate of COPD. Furthermore, compared to the lowest quartile, the highest quartile of NHHR level and DII level was associated with a 47% (p < 0.001) and 50% (p < 0.001) increase, respectively, in the incidence rate of COPD. Smooth curve fitting and threshold effect analysis revealed a nonlinear relationship between NHHR and the risk of COPD, with a breakpoint at 2.60. Mediation analysis indicated that DII mediated 7.24% of the association between NHHR and COPD (p = 0.004). Higher NHHR levels are associated with an increased prevalence of COPD. Moreover, this association is mediated by DII, suggesting that an anti-inflammatory diet may be beneficial.

Research progress of lipid-derived parameters in atherosclerotic cardiovascular disease

Dyslipidemia stands as an autonomous peril in the realm of atherosclerotic cardiovascular maladies. Prompt identification and timely intervention in the case of dyslipidemia hold promise for substantially curbing the onset and fatality rates associated with coronary heart disease. Traditional lipid surveillance metrics employed in clinical settings, such as low-density lipoprotein cholesterol, exhibit notable limitations. Conversely, lipid-derived parameters emerge as formidable contenders, demonstrating a capacity to amalgamate and quantify disparate risk factors and multifactorial etiologies inherent in a given disease. By encompassing a broader spectrum of information than singular indices, these parameters offer a more profound insight into disease progression by virtue of their grounding in the physiological intricacies of lipid metabolism. Drawing upon extant domestic and international guidelines and research, this discourse delineates and synthesizes four lipid-derived parameters with promising clinical applications: atherogenic index of plasma, non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio, apolipoprotein B/A1 ratio, and lipoprotein combine index, and forwards a perspective grounded in current strides in clinical research.

Associations between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio and hyperuricemia: a cross-sectional study

Background and objectiveThe value of the non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) assessment in the context of metabolic abnormalities is growing in importance. Nevertheless, the relationship between NHHR and hyperuricemia (HUA) is unknown. This study seeks to investigate the relationship between NHHR and HUA.MethodsThe data derived from the 2017–2020 National Health and Nutrition Examination Survey (NHANES) included 7,876 adult participants. The multivariable logistic regression model, subgroup analysis and smooth fitting curve were utilized in order to investigate the association between NHHR and HUA.ResultsIn the fully adjusted model 3, NHHR was significantly associated with HUA. Specifically, participants in the highest quartile of NHHR had 1.95 times higher odds of HUA prevalence compared to those in the lowest quartile [2.95 (2.39, 3.64), P < 0.0001]. Although the overall trend suggested a positive association, further analysis using smooth fitting curves and threshold effect analysis indicated that this association was nonlinear, with an inflection point at 5.8. The positive association persisted across different HUA definitions and after removing outliers. Subgroup analysis showed significant interactions between NHHR and HUA in different races and diabetes statuses. The odds of HUA prevalence were higher among non-diabetic participants [1.40 (1.32, 1.49), P < 0.0001] compared to diabetic participants [1.18 (1.06, 1.32), P = 0.0031]. Mexican Americans had the lowest odds of HUA prevalence [1.09 (0.92, 1.27), P = 0.2413] compared to other races.ConclusionsThere is a significant positive association between NHHR and HUA, indicating that NHHR may serve as a potential risk assessment maker for HUA, although further prospective studies are needed for validation.

Association between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and the risk of post-stroke depression: A cross-sectional study

BackgroundLimited observational research has explored the relationship between the non-high-density lipoprotein cholesterol (non-HDL-C) to high-density lipoprotein cholesterol (HDL-C) ratio (NHHR) and the risk of post-stroke depression (PSD). This study aims to investigate the potential associations between NHHR and PSD. MethodsA cross-sectional study was conducted using data from stroke participants aged 20 and older, sourced from the National Health and Nutrition Examination Survey (NHANES) spanning 2005 to 2018. Depression was assessed using the PHQ-9 questionnaire. The association between NHHR and PSD risk was evaluated through weighted multivariate logistic regression and restricted cubic spline (RCS) models. Subgroup and sensitivity analyses were performed to validate the findings. ResultsIn the continuous model, the NHHR value for the PSD group (3.23±1.84) was significantly higher than that of the non-PSD group (2.79±1.40, p=0.015). Logistic regression analysis in the fully adjusted model revealed a positive association between NHHR and PSD (OR 1.16, 95 % CI 1.03-1.30, p=0.016). Interaction tests showed no significant differences across strata (p > 0.05 for interaction). Restricted cubic spline results indicated a linear dose-response relationship between NHHR and PSD risk (P for non-linearity = 0.6). This association persisted in various subgroup analyses. ConclusionNHHR was significantly correlated with an increased risk of PSD among U.S. adults. Further re-search on NHHR could contribute to the prevention and treatment of PSD.

Exploration of the association of a lipid-related biomarker, the non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR), and the risk of breast cancer in American women aged 20 years and older.

Exploration of the association of a lipid-related biomarker, the non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR), and the risk of breast cancer in American women aged 20 years and older.

Triglyceride to high-density lipoprotein cholesterol ratio as a marker of non-alcoholic fatty liver disease in type 2 diabetes

Type 2 diabetes mellitus (T2DM) and non-alcoholic liver disease (NAFLD) shared a common feature, insulin resistance (IR), which is marked by a change in the lipoprotein fraction, namely increased triglycerides (TG) and decreased high-density lipoprotein cholesterol (HDL-C) levels. Blood lipids are routinely examined in T2DM patients; thus, our study aimed to investigate the performance of TG/HDL-C ratio values to identify hepatic steatosis, the earliest manifestation of nonalcoholic fatty liver disease (NAFLD), in T2DM patients. One hundred adult T2DM patients over 30 years old were recruited from the diabetes outpatient clinic at the Dr. Soetomo General Academic Hospital from August to October 2023. Data regarding sociodemographics, medication, glycosylated hemoglobin (HbA1c), lipid profiles, and FibroScan with controlled attenuation parameter (CAP) were collected from all participants. The group with hepatic steatosis (CAP≥237 dB/m) had a higher body mass index (BMI), higher TG levels, and TG/HDL-C ratio values. The TG/HDL-C ratio was significantly correlated with CAP values. Hepatic steatosis can be identified using the TG/HDL-C ratio with a cut-off value of 2.83 (sensitivity:72.4%; specificity:71.4%). An elevated TG/HDL-C ratio is associated with a higher risk (OR:6.562; p&amp;lt;0.05) of having hepatic steatosis. The TG/HDL-C ratio is a potential marker to predict NAFLD in T2DM patients.

Significance of the APPLE score and the monocyte–HDL cholesterol ratio in predicting late recurrence of atrial fibrillation following catheter ablation based on a retrospective study

ObjectiveCollect the characteristics of patients’ baseline data, and explore the predictive factors of late recurrence of atrial fibrillation (AF) after catheter ablation according to whether late recurrence or not. The...

Cardiovascular disease risk in people of African ancestry with HIV in the United Kingdom.

Our objective was to describe the prevalence of cardiovascular disease (CVD) risk factors in people of African ancestry with HIV in the UK. We conducted a cross-sectional analysis of CVD risk factors in Black people with HIV aged ≥40 years and estimated the 10-year CVD risk using QRISK®3-2018. Correlations between body mass index (BMI) and CVD risk factors were described using Pearson correlation coefficients, and factors associated with 10-year CVD risk ≥5% were described using logistic regression. We included 833 Black people with HIV and a median age of 54 years; 54% were female, 50% were living with obesity (BMI ≥30 kg/m2), 61% had hypertension, and 19% had diabetes mellitus. CVD risk >5% ranged from 2% in female participants aged 40-49 years to 99% in men aged ≥60 years, and use of statins ranged from 7% in those with CVD risk <2.5% to 64% in those with CVD risk ≥20%. BMI was correlated (R2 0.1-0.2) with triglycerides and diastolic blood pressure in women and with glycated haemoglobin, systolic and diastolic blood pressure, and total:high-density lipoprotein (HDL) cholesterol ratio in men. In both female and male participants, older age, blood pressure, diabetes mellitus, and kidney disease were strongly associated with CVD risk ≥5%, whereas obesity, total:HDL cholesterol, triglycerides, and smoking status were variably associated with CVD risk ≥5%. We report a high burden of CVD risk factors, including obesity, hypertension, and diabetes mellitus, in people of African ancestry with HIV in the UK. BMI-focused interventions in these populations may improve CVD risk while also addressing other important health issues.

Nonlinear association between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio and hyperuricemia in cancer patients: evidence from NHANES 2007–2018

BackgroundEvidence shows that cancer patients are more likely to have hyperuricemia (HUA) compared to the general population, with lipid metabolism playing a significant role. However, it is still unclear whether there is a non-linear relationship between the non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and HUA in these patients. This study aims to explore the association between NHHR and HUA in cancer patients.MethodsThis study included participants from the NHANES database from 2007 to 2018. We used multivariable logistic regression, restricted cubic splines (RCS) analysis, and subgroup analysis to examine the association between NHHR and HUA and gout in cancer patients, as well as to investigate differences in this association among specific subgroups.ResultsA total of 2826 participants were included, with a HUA prevalence of 24.30%. Weighted multivariable logistic regression showed that for each unit increase in NHHR, the odds of HUA in cancer patients increased by 16% (95% confidence interval [CI]: 1.06, 1.29, P = 0.002). When NHHR was divided into tertiles, those in the highest tertile (Q3) had a 1.84 times higher odds of developing HUA compared to those in the lowest tertile (Q1) (95% CI: 1.32, 2.58, P < 0.001). However, there was no significant association with gout. RCS analysis further revealed a significant non-linear positive association, particularly among males. Subgroup analysis and interaction tests indicated a stronger association in cancer patients who did not have a history of stroke.ConclusionThere is a non-linear association between NHHR and HUA in cancer patients.

Prognostic value of novel atherogenic indices in patients with acute myocardial infarction with and without type 2 diabetes

AimsAtherogenic indices: Triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio, Atherogenic Index of Plasma (AIP), Atherogenic Coefficient (AC), Castelli's Risk Index I and II (CRI-I, CRI-II) are used in clinical studies as surrogates of major adverse cardiac and cerebrovascular events (MACCE). Risk prediction of MACCE in patients with acute myocardial infarction (AMI) has vital role in clinical practice. We aimed to assess prognostic value of these indices following AMI. MethodsWe analyzed patients with AMI with and without T2DM and the prognostic values of atherogenic indices for in-hospital death and MACCE within 12 months after AMI. ResultsOf 2461 patients, 152 in-hospital deaths (6.2 %) were reported (74 patients [7.4 %] with T2DM and 78 [5.3 %] without T2DM; p = 0.042). MACCE occurred in 22.7 % of patients (29.7 % with T2DM and 17.9 % without T2DM; p < 0.001). TG/HDL-C and AIP were higher in T2DM patients compared to those without T2DM (p < 0.001). Long-term MACCE was more prevalent in patients with T2DM (p < 0.001). The AUC-ROC for predicting in-hospital death based on TG/HDL-C and AIP was 0.57 (p = 0.002). ConclusionsNone of the atherogenic indices was an independent risk factor for in-hospital death or MACCE at 12-month follow-up in patients with AMI. AIP was an independent risk factor for death at 12-month follow-up.