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The non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) is a recently developed lipid parameter, but there is currently a lack of research exploring its relationship with periodontitis. This study aims to identify the potential association between NHHR and periodontitis. The association between NHHR and periodontitis were examined through univariate and multivariate weighted logistic regression utilizing the National Health and Nutrition Examination Survey data from 2009 to 2014. The participants were grouped based on the type of periodontitis. This study included a total of 9023 participants, with 1947 individuals having no periodontitis, and an additional 7076 individuals suffering from periodontitis. Patients in periodontitis group demonstrated a statistically significant elevation in NHHR values 2.82 (2.05–3.80) compared to those in no periodontitis group ( p  < 0.001). Logistic regression analysis of variables demonstrated a positive association between NHHR and periodontitis [1.07 (1.02, 1.12) p  = 0.0067]. The study revealed a positive association between NHHR and an elevated prevalence of periodontitis development. For each unit increase in NHHR, there is a 7% increase in the prevalence of periodontitis. Further investigations into NHHR may enhance our understanding of preventing and treating periodontitis. However, additional studies are required to validate these findings.

Background Waist circumference, a metabolic syndrome (MetSy) criterion, is not routinely measured in clinical practice making early identification of individuals with MetSy challenging. It has been argued that ratios of commonly measured parameters such as lipids and lipoproteins may be an acceptable alternative for identifying individuals with MetSy. The objective of our study was to explore clinical utility of lipid ratios to identify men and women with MetSy; and to explore the association between lipid ratios and the number of MetSy components. Methods Men and women (N = 797) of Aboriginal, Chinese, European, and South Asian origin (35–60 years), recruited across ranges of body mass index (BMI), with no diagnosed cardiovascular disease (CVD) or on medications to treat CVD risk factors were assessed for anthropometrics, family history of CVD, MetSy components (waist circumference, blood pressure, glucose, triglycerides (TG), high-density-lipoprotein-cholesterol (HDL-C)), low-density-lipoprotein-cholesterol (LDL-C), nonHDL-C, and health-related behaviours. Results Mean levels of lipid ratios significantly increased with increasing number of MetSy components in men and women (p < 0.05). After adjustment for age, ethnicity, smoking, alcohol consumption, physical activity, family history of CVD and BMI, (and menopausal status in women), all lipid ratios were associated with the number of MetSy components in men and women (Poisson regression, p < 0.001). Compared to the rest of the lipid ratios (ROC curve analysis), TG/HDL-C was best able to discriminate between individuals with and without MetSy (AUC = 0.869 (95% CI: 0.830, 0.908) men; AUC = 0.872 (95% CI: 0.832, 0.912) women). The discriminatory power of TC/HDL-C and nonHDL-C/HDL-C to identify individuals with MetSY was the same (for both ratios, AUC = 0.793 (95% CI: 0.744, 0.842) men; 0.818 (95% CI: 0.772, 0.864) women). Additionally, LDL-C/HDL-C was a good marker for women (AUC = 0.759 (95% CI: 0.706, 0.812)), but not for men (AUC = 0.689 (95% CI: 0.631, 0.748)). Based on a multiethnic sample, we identified TG/HDL-C cut-off values of 1.62 in men and 1.18 in women that were best able to discriminate between men and women with and without MetSY. Conclusions Our results indicate that TG/HDL-C is a superior marker to identify men and women with MetSy compared to TC/HDL-C, LDL-C/HDL-C, and nonHDL-C/HDL-C.

The ratio of non-high-density lipoprotein cholesterol (non-HDL-C) to HDL-C (NHHR) is a novel lipid parameter used to assess the risk of cardiovascular disease. Previous studies have demonstrated an association between the NHHR and risk of non-alcoholic fatty liver disease (NAFLD). Owing to the lack of research exploring this relationship in specific populations, this study aimed to determine the potential link between the NHHR and risk of NAFLD among American adults in the United States. Data were retrieved from the National Health and Nutrition Examination Survey (NHANES) spanning 2017–2020. After excluding individuals with other liver diseases, alcohol abuse, and missing lipid data, a total of 6809 eligible adults were included for analysis. The NHHR was calculated as the ratio of (non-HDL-C) to HDL-C, while NAFLD was identified by liver steatosis detected by transient elastography. Multivariable weighted logistic regression models and restricted cubic spline (RCS) models were employed to investigate the relationship between the NHHR and risk of NAFLD. Subgroup and sensitivity analyses were also conducted to test the robustness of the results. As the NHHR increased, the prevalence of NAFLD rose progressively (5.88% vs. 8.75% vs. 12.24% vs. 15.77%, p  < 0.001). In the overall population, after adjusting for confounding factors, each unit increase in the NHHR was associated with a 25% increase in NAFLD risk (OR = 1.25, 95% CI: 1.03–1.53, p  = 0.0372). When the NHHR was analyzed as a categorical variable (quartiles), participants in the highest quartile had a significantly higher risk of NAFLD than those in the lowest quartile (OR = 2.6, 95% CI: 1.75–3.85, p  = 0.009). RCS analysis further indicated a nonlinear dose–response relationship between the NHHR and risk of NAFLD ( p non-linearity < 0.0001). This association remained significant in both subgroup and sensitivity analyses. This study confirmed that the NHHR, particularly at higher levels, was an independent risk factor for NAFLD. As a comprehensive lipid indicator, the NHHR had the potential to predict NAFLD risk. These findings provided new insights for the prevention and clinical management of NAFLD.

Diabetes is one of the most prevalent chronic diseases in the world, and its prevalence is expected to rise further. To help understand the utility of the ratio of non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol (NHHR) in diabetes prevention, this large-scale longitudinal cohort study aims to explore the association of NHHR with diabetes risk and compare it as a risk predictor with conventional lipid parameters. This observational study extracted data from the NAGALA longitudinal cohort study conducted in Japan between 2004 and 2015. Multivariate Cox regression analysis was used to evaluate the association between NHHR and the risk of diabetes. The dose-response relationship was analyzed by restricted cubic spline (RCS) regression and the potential risk threshold was estimated. The receiver operator characteristic curve (ROC) was used to analyze and calculate the predictive value and optimal threshold of NHHR and other conventional lipids for new-onset diabetes. Of the 15,464 people aged 18-79, 373 (2.41%) were diagnosed with new-onset diabetes during the study period, with a median age of 46 years. The sensitivity analysis based on multivariate adjustment showed that the independent positive correlation between diabetes and NHHR was stable in different populations. RCS and ROC analysis indicated that the association between NHHR and diabetes was non-linear, and the NHHR was a better marker for predicting diabetes risk than other conventional lipid parameters; Additionally, it is worth noting that an NHHR of approximately 2.74 may be the optimal threshold for intervention in diabetes risk. In the general population, NHHR is a better marker for predicting diabetes risk than conventional lipid parameters, and an NHHR of about 2.74 may be the optimal threshold for assessing diabetes risk.

Aims/Introduction Dyslipidemia plays a critical role in the pathogenesis of metabolic syndrome and diabetes. Evidence has increasingly shown that the ratio of low‐ to high‐density lipoprotein cholesterol (LDL‐C/HDL‐C) is a novel marker for increased risk of insulin resistance and cardiovascular diseases. However, the correlation between the LDL‐C/HDL‐C ratio and diabetes risk is rarely reported. This is the first study to investigate the association between the LDL‐C/HDL‐C ratio and new‐onset diabetes in a large community‐based cohort. Materials and Methods In this retrospective cohort study, a total of 116,661 adults without baseline diabetes were enrolled. Participants were stratified into four groups based on LDL‐C/HDL‐C ratio quartiles. The outcome of interest was new‐onset diabetes. Results During a median follow‐up period of 2.98 years, 2,681 (2.3%) new diabetes cases were recorded. The total cumulative incidence of diabetes progressively increased alongside LDL‐C/HDL‐C ratio quartiles (0.31, 0.43, 0.68 and 0.88%, respectively, P‐value for trend <0.001). After adjusting for potential confounders, using the lowest quartile of the LDL‐C/HDL‐C ratio as the reference, the risk of diabetes increased with LDL‐C/HDL‐C ratio quartiles (P‐value for trend <0.001); in particular, from the second to fourth quartile, hazard ratios were 1.18 (95% confidence interval 0.87–1.59), 1.42 (95% confidence interval 1.07–1.90) and 1.92 (95% confidence interval 1.43–2.59), respectively. The results were also robust to challenges in multiple sensitivity analyses. Conclusions Among the Chinese population, elevated LDL‐C/HDL‐C ratio might be an independent risk factor for new‐onset diabetes. In the present study, we investigated a relationship between the low‐density lipoprotein cholesterol : high‐density lipoprotein cholesterol (LDL‐C/HDL‐C) ratio and the risk of new‐onset diabetes, and found that an elevated LDL‐C/HDL‐C ratio is independently and positively associated with the increased risks of diabetes in the general population. These findings suggested that the ratio of LDL‐C/HDL‐C is not only a surrogate indicator of insulin resistance and cardiovascular disease, but also plays a vital role in the pathogenesis of diabetes.

The non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) reflects the balance between pro- and anti-atherogenic lipoproteins. This study aims to explore the relationship between NHHR and mortality among hypertension patients. Data from 17,075 hypertensive adults in the National Health and Nutrition Examination Survey (NHANES) were analyzed. Multivariate Cox regression and restricted cubic splines were used to assess the correlation between NHHR and mortality. A segmented Cox model evaluated threshold effects, and sensitivity analyses confirmed result robustness. Machine learning algorithms were used to establish a prediction model. Over a median follow-up of 84 months, 3625 deaths occurred. A U-shaped association was observed between NHHR and both all-cause and cardiovascular mortality, with threshold values at 2.32 and 2.65. Below these thresholds, NHHR was negatively associated with mortality, while values above the thresholds were positively associated. NHHR was classified as an important variable in the prediction model, with the random survival forest (rsf) algorithm showing superior performance. This study identified a U-shaped association between NHHR and mortality in hypertension patients, with threshold points at NHHR values of 2.32 and 2.65, indicating that NHHR is a potential predictor of mortality in patients with hypertension.

Background The low-density lipoprotein cholesterol/high-density lipoprotein- cholesterol (LDL-C/HDL-C) ratio is an excellent predictor of cardiovascular disease (CVD). However, previous studies linking the LDL-C/HDL-C ratio to mortality have yielded inconsistent results and been limited by short follow-up periods. Therefore, the aim of the present study was to determine whether the LDL-C/HDL-C ratio could be an effective predictor of all-cause mortality in elderly hypertensive patients. Methods A total of 6941 hypertensive patients aged 65 years or older who were not treated with lipid-lowering drugs were selected from the Chinese Hypertension Registry for analysis. The endpoint of the study was all-cause mortality. The relationship between the LDL-C/HDL-C ratio and all-cause mortality was determined using multivariate Cox proportional hazards regression, smoothing curve fitting (penalized spline method), subgroup analysis and Kaplan–Meier survival curve analysis. Results During a median follow-up of 1.72 years, 157 all-cause deaths occurred. A U-shaped association was found between the LDL-C/HDL-C ratio and all-cause mortality. Patients were divided according to the quintiles of the LDL-C/HDL-C ratio. Compared to the reference group (Q3: 1.67–2.10), patients with both lower (Q1 and Q2) and higher (Q4 and Q5) LDL-C/HDL-C ratios had higher all-cause mortality (< 1.67: HR 1.81, 95% CI: 1.08–3.03; ≥2.10: HR 2.00, 95% CI: 1.18–3.39). Compared with the lower and higher LDL-C/HDL-C ratio groups, patients with LDL-C/HDL-C ratios of 1.67–2.10 had a significantly higher survival probability (log-rank P  = 0.038). Conclusions The results suggest that there is a U-shaped association between the LDL-C/HDL-C ratio and all-cause mortality. Both lower and higher LDL-C/HDL-C ratios were associated with increased all-cause mortality in elderly hypertensive patients.

Background The discordance of the low-density lipoprotein cholesterol-to-high-density lipoprotein cholesterol (LDL-C/HDL-C) ratio with alterative lipid parameters may explain the inconsistent association of CIMT with the LDL-C/HDL-C ratio. Therefore, this study aimed to explore the associations between LDL-C/HDL-C ratio discordance with alternative lipid parameters and elevated carotid intima-media thickness (CIMT) risk in a large cohort in Beijing, China. Methods In total, 13,612 adults who didn’t have elevated CIMT at baseline and who participated in at least one follow-up of annual examination between 2009 and 2016 were included in this cohort study. A multivariable Cox regression model was utilized to evaluate the associations of discordance of the LDL-C/HDL-C ratio with TC, TGs, LDL-C and HDL-C with elevated CIMT risk. Results During 37,999 person-years of follow-up, 2004 individuals (1274 men and 730 women) developed elevated CIMT. Among individuals with normal TC and TGs, 16.6 and 15.2% individuals had a discordantly high LDL-C/HDL-C ratio, respectively, and the risk of elevated CIMT increased by 1.54 (95% CI 1.33, 1.77) and 1.53 (95% CI 1.33, 1.76), respectively, comparing to individuals with a concordantly low LDL-C/HDL-C ratio. A high LDL-C/HDL-C ratio could significantly increase elevated CIMT risk regardless of discordance/concordance with LDL-C and HDL-C ( P  < 0.001). A low LDL-C/HDL-C ratio with discordantly normal HDL-C and high LDL-C (13.2% of individuals) had a 32% (HR = 1.32, 95% CI 1.11, 1.57) higher risk of elevated CIMT than concordantly low LDL-C and normal HDL-C. Sensitivity analysis by excluding CIMT developed in the first 2 years follow-up further confirmed the above results. Conclusions A high LDL-C/HDL-C ratio could significantly increase elevated CIMT risk regardless of discordance/concordance with TC, TGs, LDL-C and HDL-C Even a low LDL-C/HDL-C ratio with discordantly high LDL-C and normal HDL-C could also significantly increase CIMT risk. Individuals should maintain both the LDL-C/HDL-C ratio and LDL-C at normal levels to prevent elevated CIMT.

ABSTRACT Background The purpose of this research is to investigate the particular connection between the triglyceride to high‐density lipoprotein cholesterol (TG/HDL‐C) ratio and non‐alcoholic fatty liver disease (NAFLD) to offer a more precise foundation for evaluating NAFLD risk. Methods This study involves a secondary analysis of a retrospective cohort study conducted from 2004 to 2015 in a Japanese population, which included 14,106 participants. The TG/HDL‐C ratio was determined by the levels of triglycerides (TG) and high‐density lipoprotein cholesterol (HDL‐C). Participants were grouped according to the quartiles of TG/HDL‐C. We analyzed the relationship between TG/HDL‐C and NAFLD using Cox proportional hazards regression, smooth curve fitting, and sensitivity analysis. Results The average age of the study participants was 43.51 ± 8.89 years, with 7275 (51.57%) being male. After considering potential confounding factors, the study found a positive correlation between TG/HDL‐C and NAFLD (OR: 1.37, 95% CI: 1.31–1.43, p < 0.001). Moreover, a nonlinear relationship between TG/HDL‐C and NAFLD was found, with a turning point at 1.42. The odds ratio (OR) on either side of this inflection point were 3.71 (95% CI: 2.87–4.79) on the left and 1.23 (95% CI: 1.17–1.29) on the right, indicating a stronger correlation when TG/HDL‐C is below 1.42, particularly in younger individuals, females, and those with a BMI under 25 kg/m2. Conclusion The TG/HDL‐C index shows a nonlinear positive correlation with NAFLD risk, particularly when the TG/HDL‐C ratio is below 1.42, with a stronger association observed in younger individuals, females, and lower‐BMI populations. This study reveals a nonlinear positive correlation between the TG/HDL‐C ratio and the risk of NAFLD. The association is particularly pronounced when the ratio is below 1.42.

Background Papillary thyroid carcinoma (PTC) is considered to be an inflammatory disease. This study aimed to investigate the association of monocyte to high‐density lipoprotein cholesterol ratio (MHR) with PTC. Methods Clinical parameters from 300 patients with PTC and 552 patients with benign thyroid nodule were compared. Serum renal function and liver enzymes, fasting plasma glucose, lipid profile, and blood cell count were measured. Results Patients with PTC had a higher MONO (p < 0.001) and MHR (p < 0.001). There was a step‐wise increase in the prevalence of PTC (p = 0.003) with the tertile of MHR. Logistic regression analysis revealed that MHR could be considered an independent risk factor (p < 0.001) in the case‐control study and the cohort study. Pearson correlation analysis and simple linear regression analysis indicated that MHR was positively associated with neutrophil (NEU) and lymphocyte (LYM) count as well as neutrophil‐to‐lymphocyte ratio (NLR). Area under the curve (AUC) was 0.711. The optimal cutoff of MHR was 0.33 × 109/mmol. Conclusion This study identifies novel evidence that patients with PTC have a higher MHR. MHR is an independent risk factor for PTC. These findings support the application of MHR to predict, diagnose, and evaluate the occurrence of PTC. Prevalence of PTC among three groups categorized by tertile of MHR. There was a step‐wise increase in the prevalence of PTC (30.4% vs 32.3% vs. 42.7%, p = 0.003) with MHR tertile.