High-density Lipoprotein Cholesterol Ratio Research Articles

An evaluation model of hepatic steatosis based on CT value and serum uric acid/HDL cholesterol ratio can predict intrahepatic recurrence of colorectal cancer liver metastasis.

Intrahepatic recurrence is one of the main causes of treatment failure in patients with colorectal cancer liver metastasis (CRLM). Hepatic steatosis was reported to provide fertile soil for metastasis. The effect of irinotecan-inducted hepatic steatosis on the progression of liver metastasis remains to be verified. Therefore, we aim to clarify the effect of hepatic steatosis on postoperative intrahepatic recurrence in CRLM and whether it is relevant to irinotecan-based chemotherapy. Data for a total of 284 patients undergoing curative surgical treatment for CRLMs were retrospectively reviewed between March 2007 and June 2018. Hepatic steatosis score (HSS) was established by combining Liver to Spleen CT ratio (LSR) and Uric acid to HDL-cholesterol ratio (UHR) to detect the presence of hepatic steatosis. The evaluation model is consistent with pathological results and has high prediction ability and clinical application value. Patients with HSS high risk (HSS-HR) had significantly worse prognosis than those with HSS low risk (HSS-LR) (3-year intrahepatic RFS: 42.7% vs. 29.4%, P = 0.003; 5-year OS: 45.7% vs. 26.5%, P = 0.002). Univariate and multivariate analysis confirmed its essential role in the prediction of intrahepatic RFS. Besides, patients treated with preoperative irinotecan chemotherapy were more likely to end up with HSS-HR than those with non-irinotecan chemotherapy (63.3% vs. 21.8%, P < 0.001). Furthermore, irinotecan chemotherapy is relevant to worse prognosis in baseline HSS-HR patients. In summary, patients with HSS-HR had significantly worse 5-year OS and 3-year intrahepatic RFS. Irinotecan chemotherapy is more likely to lead to HSS-HR and pre-existing hepatic steatosis may be a worse prognostic factor limiting patients underwent IRI-based chemotherapy.

Association between monocyte to high-density lipoprotein cholesterol ratio and kidney stone: insights from NHANES.

The ratio of monocyte to high-density lipoprotein cholesterol (MHR) has surfaced as a novel biomarker indicative of inflammation and oxidative stress. The aim of our study was to evaluate the association between MHR and the risk of kidney stones. This study analyzed data from individuals aged 20-79 who participated in the National Health and Nutrition Examination Survey (NHANES) between 2007 and 2018. The MHR was assessed as the exposure variable, while a self-reported history of kidney stones was used as the outcome variable. The independent relationship between MHR and the risk of kidney stones was thoroughly evaluated. This study included 28,878 participants, and as the quartile range of the MHR increased, the proportion of kidney stones also rose progressively (7.20% to 8.89% to 10.88% to 12.05%, P<0.001). After adjusting for confounding factors, MHR was independently associated with an increased risk of kidney stones (OR=1.31, 95%CI=1.11-1.54, P=0.001), also independent of some common inflammatory indices. Subgroup analysis suggested that the relationship between MHR and kidney stones was more pronounced in female and individuals aged 20-49. Further restricted cubic spline (RCS) analysis indicated a nonlinear relationship between MHR and the risk of kidney stones. Our results indicate a positive correlation between MHR and an increased risk of kidney stones in US adults, underscoring the need for further large-scale prospective cohort studies to validate these findings.

The association between the non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio and the risk of osteoporosis among U.S. adults: analysis of NHANES data

BackgroundOsteoporosis and atherosclerosis frequently afflict older adults, and recent insights suggest a deeper connection between these conditions that surpasses mere aging effects. The ratio of non-high-density to high-density lipoprotein cholesterol (NHHR) has emerged as a novel lipid marker for evaluating the risk of cardiovascular diseases. Nonetheless, investigations into the correlation of the NHHR with the risk of developing osteoporosis remain unexplored.MethodsWe collected NHHR and bone mineral density (BMD) data from 11,024 National Health and Nutrition Examination Survey (NHANES) participants between 2011 and 2018. Multivariate linear regression was employed to examine the correlation between BMD and NHHR. Smooth curves were employed to deal with the nonlinearity. To further account for the nonlinear link, we used a two-part linear regression model. The threshold effects were estimated using two components of a linear regression model. Subgroup and sensitivity analyses were carried out to ascertain the stability of the findings.ResultsWe discovered a negative relationship between the NHHR and lumbar spine BMD in all three models. An L-shaped curvilinear association existed between the NHHR and lumbar spine BMD, with a key inflection point of 6.91. The fully adjusted model showed that the BMD of the lumbar spine fell by 0.03 g/cm2 in those who were in the fourth quartile as opposed to the lowest quartile. The sensitivity analysis using unweighted logistic analysis verified the stability of the results. In addition, BMD in the nondiabetic group was more significantly affected by the negative effect of the NHHR in the subgroup analysis.ConclusionsAccording to this research, there appears to be a negative correlation between BMD and NHHR in US Adults. To clarify the precise physiological mechanisms by which the NHHR contributes to the onset of osteoporosis, more research is necessary.

Biochemical and Anthropometric Indices of Insulin Resistance in Obese and Overweight Children with Metabolic Dysfunction-Associated Fatty Liver Disease.

BACKGROUND The prevalence of metabolic (dysfunction)-associated fatty liver disease (MAFLD) increases together with the epidemic of childhood obesity. An important mechanism in the phenomenon appears to be insulin resistance (IR), the assessment of which in children is problematic. The homeostatic model assessment of IR (HOMA-IR), commonly used for this, is not standardized and appears not to correlate with IR in the pediatric population. Therefore, our study aimed to evaluate potential substitute indices of IR, including the triglyceride-glucose index (TyG), triglyceride to high-density lipoprotein cholesterol ratio (TG/HDL-C), modified TyG indices: TyG-waist circumference (TyG-WC) and TyG-body mass index (TyG-BMI) as surrogate markers of MAFLD in obese children suspected to have liver disease. MATERIAL AND METHODS The retrospective study included 264 obese children admitted to the Department to diagnose suspected liver disease. MAFLD was diagnosed according to the International Expert Consensus Statement. Anthropometric measurements and laboratory tests were made and the indices were calculated. Receiver operating characteristics analysis was performed to calculate the power of the indices. RESULTS MAFLD was diagnosed in 184 patients (70%). Obese children with MAFLD showed significantly higher activity of liver enzymes and concentration of total cholesterol, TG, WC, and waist-to-hip ratio compared to non-hepatopathic obese controls (n=80). The most important indices in identifying MAFLD were: TyG (AUC=0.641, p<0.001, cut-off =8.41, sensitivity=57.4%, specificity=68.8%), and TG/HDL-C (AUC=0.638, p<0.001, cut-off=2.5, sensitivity=48.6%, specificity=76.3%). TyG-BMI and HOMA-IR were not useful predictors. CONCLUSIONS TyG and TG/HDL-C can be considered as potential surrogate biomarkers in predicting MAFLD in obese children.

Diagnostic potential of TSH to HDL cholesterol ratio in vulnerable carotid plaque identification.

This study aimed to investigate the predictive value of the thyroid-stimulating hormone to high-density lipoprotein cholesterol ratio (THR) in identifying specific vulnerable carotid artery plaques. In this retrospective analysis, we included 76 patients with carotid plaques who met the criteria for admission to Zhejiang Hospital from July 2019 to June 2021. High-resolution magnetic resonance imaging (HRMRI) and the MRI-PlaqueView vascular plaque imaging diagnostic system were utilized to analyze carotid artery images for the identification of specific plaque components, including the lipid core (LC), fibrous cap (FC), and intraplaque hemorrhage (IPH), and recording of the area percentage of LC and IPH, as well as the thickness of FC. Patients were categorized into stable plaque and vulnerable plaque groups based on diagnostic criteria for vulnerable plaques derived from imaging. Plaques were categorized based on meeting one of the following consensus criteria for vulnerability: lipid core area over 40% of total plaque area, fibrous cap thickness less than 65 um, or the presence of intraplaque hemorrhage. Plaques meeting the above criteria were designated as the LC-associated vulnerable plaque group, the IPH-associated group, and the FC-associated group. Multivariate logistic regression was employed to analyze the factors influencing carotid vulnerable plaques and specific vulnerable plaque components. Receiver operating characteristic (ROC) curves were used to assess the predictive value of serological indices for vulnerable carotid plaques. We found that THR (OR = 1.976; 95% CI = 1.094-3.570; p = 0.024) and TSH (OR = 1.939, 95% CI = 1.122-3.350, p = 0.018) contributed to the formation of vulnerable carotid plaques. THR exhibited an area under the curve (AUC) of 0.704 (95% CI = 0.588-0.803) (p = 0.003), and the AUC for TSH was 0.681 (95% CI = 0.564-0.783) (p = 0.008). THR was identified as an independent predictor of LC-associated vulnerable plaques (OR = 2.117, 95% CI = 1.064-4.212, p = 0.033), yielding an AUC of 0.815. THR also demonstrated diagnostic efficacy for LC-associated vulnerable plaques. This study substantiated that THR and TSH have predictive value for identifying vulnerable carotid plaques, with THR proving to be a more effective diagnostic indicator than TSH. THR also exhibited predictive value and specificity in the context of LC-associated vulnerable plaques. These findings suggest that THR may be a promising clinical indicator, outperforming TSH in detecting specific vulnerable carotid plaques.

A cross-sectional analysis of the relationship between the non-high density to high density lipoprotein cholesterol ratio (NHHR) and kidney stone risk in American adults

BackgroundRecent interest in the Non-High Density to High Density Lipoprotein Cholesterol ratio (NHHR) has emerged due to its potential role in metabolic disorders. However, the connection between NHHR and the development of kidney stones still lacks clarity. The primary goal of this research is to explore how NHHR correlates with kidney stone incidence.MethodsAn analysis was conducted on the data collected by the National Health and Nutrition Examination Survey (NHANES) between 2007 and 2018, focusing on adults over 20 years diagnosed with kidney stones and those with available NHHR values. Employing weighted logistic regression and Restricted Cubic Spline (RCS) models, NHHR levels’ correlation with kidney stone risk was examined. Extensive subgroup analyses were conducted for enhanced reliability of the findings.ResultsThe findings indicate a heightened kidney stone risk for those at the highest NHHR levels relative to those at the lowest (reference group). A notable non-linear correlation of NHHR with kidney stone incidence has been observed, with a significant P-value (< 0.001), consistent across various subgroups.ConclusionA clear link exists between high NHHR levels and increased kidney stone risk in the American adult population. This study highlights NHHR’s significance as a potential indicator in kidney stone formation.

Evaluation of Lipid Profile in Patients with Ischemic Heart Disease

Ischemic heart diseases (IHDs), like coronary artery disease, remain a significant global health burden. While established risk factors such as lowdensity lipoprotein cholesterol (LDL) and hypertension are wellrecognized, the role of triglyceride (T.G.) and high-density lipoprotein cholesterol (HDL-c) remains complex and multifaceted. This work was designed to examine the role of the T.G./HDL-c ratio in the IHD group and their effect on the effect of age, gender, and biomass index (BMI). Method: A total of 90 samples, including 60 samples (30 male, 30 female) for the IHD patients group with an age range of 40-85 years, and 30 samples (15 male, 15 female) for the control group with matching age ranges, were randomly selected. Lipid profile parameters (HDL, LDL, VLDL, T.G., Cholesterol) were estimated according to Kit Shenzhen Mindray Bio— Medical Electronics—Germany's manual procedure. Then, the ratio TG/HDL-C was calculated. Results: IHD patients illustrated a significant increase in the mean levels of all lipid profile panels, including [total cholesterol (T.C.), triglyceride (T.G.), LDL, and the ratio of T.G./HDL-c], except HDL, which was lower in patients group compared to the healthy control. The level of T.G./HDLc was increased in IHD patients with increasing BMI associated with the healthy participants; it was also elevated in male IHD patients than in IHD female patients. Conclusion: The ratio of T.G./HDL-c represents a valuable indicator for valuing IHD risk and personalized therapeutic approaches. Future research should delve deeper into the underlying mechanisms and refine strategies for effectively managing T.G./HDL-c for improved IHD prevention and management.

Diagnostic value of uric acid to high-density lipoprotein cholesterol ratio in abdominal aortic aneurysms

Background Abdominal aortic aneurysm (AAA) is highly lethal upon onset of acute aortic diseases (AAD) or rupture. Dyslipidaemia and hyperuricaemia are important risk factors for the development of AAA and AAD as well as aortic disease-related death. The aim of this study was to explore whether uric acid (UA) to high-density lipoprotein cholesterol (HDL-C) ratio (UHR) can be used as an independent predictor of the presence of AAA or AAD. Methods Three hundred subjects, including 100 AAA patients (AAA group), 100 AAD patients (AAD group) and 100 controls (CON group), were recruited in this study. UHR and other serum samples were obtained upon the patients’ admission before any medical treatment. The optimal cut-off points of UHR were determined using receiver operating characteristic (ROC) curve analysis. Results The UHR in AAA group was significantly higher than that in CON group, but there was no significant difference between AAD group and CON group. The optimal cut-off point of UHR for AAA was 7.78 (sensitivity 84.7%, specificity 62.4%, and AUC 0.811; p < 0.001), and UHR (OR: 1.122, 95%CI: 1.064-1.184; p < 0.001) was found to be an independent factor for predicting AAA after adjusting for traditional AAA risk factor. Conclusion UHR can be widely used in clinical practice as an auxiliary tool for screening AAA. The optimal cut-off point for UHR to AAA was determined for the first time in Chinese subjects.

#673 Predictive value of insulin resistance and GFR-adjusted uricemia on all-cause mortality: the URRAH study

Abstract Background and Aims Uric acid (UA) and insulin resistance (IR) are interlinked: UA contributes to adversely affects the insulin signaling pathway, while IR predicts the development of hyperuricemia. Both UA and IR are related to metabolic syndrome, which is nowadays one of the most prevalent risk factors for mortality. In the clinical scenario, the triglyceride (TG) to high-density lipoprotein cholesterol (HDL-C) ratio has been proved to have a high correlation with IR. Lipoprotein-based markers of IR are at least as strongly associated with subclinical atherosclerosis and with newly developing atherosclerotic manifestations than Homeostasis Model Assessment of Insulin Resistance (HOMA-IR). The aim of the research was to explore the extent of interaction between IR and GFR-adjusted uricemia in determining mortality risk in a large population cohort study. Method data from 18,694 subjects were included from Uric acid Right foR heArt Healt (URRAH) database. Differences between TG/HDL-C ratio quintiles were evaluated by t-test or chi-square test. We evaluated the association between TG/HDL-C ratio and GFR-adjusted uricemia, and the development of outcomes during the follow-up study period. The primary endpoint was all-cause mortality. The Kaplan-Meier method was used to calculate the cumulative survival rate. Cox proportional hazard regression models were used to analyze the prognosis associated with IR. Results after a mean follow-up of 124 ± 64 months, there were 2,665 (14.2%) deaths for all causes. The incidence of fatal, non-fatal cardiovascular events, and all-cause mortality increased in parallel with the increase of TG/HDL-C quintiles. In both diabetic and non-diabetic patients, TG/HDL-C ratio showed a positive association with increasing of GFR-adjusted uricemia (UA/GFR ratio). TG/HDL-C ratio and GFR-adjusted uricemia significantly interact in determining all-cause mortality, even in non-diabetic patients (P &amp;lt; 0.0001). Subjects with higher TG/HDL-C ratio quintile had a statistically significantly higher rate of mortality than patients with lower quintiles (Fig. 1, log rank test P &amp;lt; 0.0001), independently by uricemia, GFR, the presence of diabetes and body mass index (BMI). Multivariate analysis showed that the TG/HDL-C ratio increase the mortality risk even after adjustment for potential confounding factors included age, diabetes, UA/GFR, BMI and statins treatment (Table 1). Conclusion For practical purposes, the easily obtainable TG/HDL-C ratio may suffice to determine the impact of insulin resistance as a risk factor. TG/HDL-C ratio interacts with GFR-adjusted uricemia in predicting mortality, even in non-diabetic patients. In conclusion, Both IR and GFR-adjusted UA levels seems to have an important predictive role on all-cause mortality, independently of age, gender, diabetes, hypertension and statins.

Independent and joint associations of monocyte to high-density lipoprotein-cholesterol ratio and body mass index with cardiorenal syndrome: insights from NHANES 2003–2020

BackgroundWith the development of pathophysiology, cardiorenal syndrome (CRS), a complex and severe disease, has received increasing attention. Monocyte to high-density lipoprotein-cholesterol ratio (MHR) and body mass index (BMI) are independent risk factors for cardiovascular diseases, but their association with CRS remains unexplored. This study aims to explore the independent and joint effects of MHR and BMI on CRS.MethodsWe included 42,178 NHANES participants. The determination of CRS referred to the simultaneous presence of cardiovascular disease (identified through self-report) and chronic kidney disease (eGFR < 60 mL/min per 1.73 m²). We employed multivariate weighted logistic regression to evaluate the odds ratio (OR) and 95% confidence interval (CI) for the independent and joint associations of MHR and BMI with CRS. We also conducted restricted cubic spines to explore nonlinear associations.ResultsThe prevalence of CRS was 3.45% among all participants. An increase in both MHR and BMI is associated with a higher risk of CRS (MHR: OR = 1.799, 95% CI = 1.520–2.129, P < 0.001, P-trend < 0.001; BMI: OR = 1.037, 95% CI = 1.023–1.051, P < 0.001). Individuals who simultaneously fall into the highest quartile of MHR and have a BMI of 30 or more face the highest risk of CRS compared to those in the lowest MHR quartile with a BMI of less than 25 (OR = 3.45, 95% CI = 2.40–4.98, P < 0.001). However, there is no interactive association between MHR and BMI with CRS.ConclusionsHigher MHR and BMI are associated with higher odds of CRS. MHR and BMI can serve as tools for early prevention and intervention of CRS, respectively.

The association between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio with type 2 diabetes mellitus: recent findings from NHANES 2007–2018

ObjectiveThis study aims to assess the relationship between NHHR (non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio) and Type 2 diabetes mellitus (T2DM) in US adults, using National Health and Nutrition Examination Survey (NHANES) data from 2007 to 2018.MethodsThis study explored the connection between NHHR and T2DM by analyzing a sample reflecting the adult population of the United States (n = 10,420; NHANES 2007–2018). NHHR was characterized as the ratio of non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol. T2DM was defined based on clinical guidelines. This research used multivariable logistic models to examine the connection between NHHR and T2DM. Additionally, it included subgroup and interaction analyses to assess variations among different groups. Generalized additive models, smooth curve fitting, and threshold effect analysis were also employed to analyze the data further.ResultsThe study included 10,420 subjects, with 2160 diagnosed with T2DM and 8260 without. The weighted multivariate logistic regression model indicated an 8% higher probability of T2DM for each unit increase in NHHR (OR: 1.08, 95% CI: 1.01–1.15) after accounting for all covariates. Subgroup analysis outcomes were uniform across various categories, demonstrating a significant positive relationship between NHHR and T2DM. Interaction tests showed that the positive link between NHHR and T2DM remained consistent regardless of age, body mass index, smoking status, moderate recreational activities, hypertension, or stroke history, with all interaction P-values exceeding 0.05. However, participants’ sex appeared to affect the magnitude of the connection between NHHR and T2DM (interaction P-value < 0.05). Also, a nonlinear association between NHHR and T2DM was discovered, featuring an inflection point at 1.50.ConclusionsOur study suggests that an increase in NHHR may be correlated with a heightened likelihood of developing T2DM. Consequently, NHHR could potentially serve as a marker for estimating the probability of T2DM development.

Lipid-based insulin-resistance markers predict cardiovascular events in metabolic dysfunction associated steatotic liver disease

BackgroundInsulin resistance (IR) is the cornerstone of Metabolic Dysfunction Associated Steatotic Liver Disease (MASLD), pathophysiologically being the key link between MASLD, metabolic disorders, and cardiovascular (CV) diseases. There are no prospective studies comparing the predictive values of different markers of insulin resistance (IR) in identifying the presence of MASLD and the associated risk of cardiovascular events (CVEs).MethodsPost hoc analysis of the prospective Plinio Study, involving dysmetabolic patients evaluated for the presence of MASLD. The IR markers considered were Homeostatic Model Assessment for IR (HOMA-IR), Triglycerides-Glycemia (TyG) index, Triglycerides to High-Density Lipoprotein Cholesterol ratio (TG/HDL-C), Lipid Accumulation Product (LAP) and Visceral Adiposity Index (VAI). Receiver operative characteristic (ROC) analyses were performed to find the optimal cut-offs of each IR marker for detecting MASLD and predicting CVEs in MASLD patients. Logistic and Cox multivariable regression analyses were performed, after dichotomizing the IR markers based on the optimal cut-offs, to assess the factors independently associated with MASLD and the risk of CVEs.ResultsThe study included 772 patients (age 55.6 ± 12.1 years, 39.4% women), of whom 82.8% had MASLD. VAI (Area Under the Curve [AUC] 0.731), TyG Index (AUC 0.723), and TG/HDL-C ratio (AUC: 0.721) predicted MASLD but was greater with HOMA-IR (AUC: 0.792) and LAP (AUC: 0.787). After a median follow-up of 48.7 (25.4–75.8) months, 53 MASLD patients experienced CVEs (1.8%/year). TyG index (AUC: 0.630), LAP (AUC: 0.626), TG/HDL-C (AUC: 0.614), and VAI (AUC: 0.590) demonstrated comparable, modest predictive values in assessing the CVEs risk in MASLD patients.ConclusionIn dysmetabolic patients HOMA-IR and LAP showed the best accuracy in detecting MASLD. The possible use of lipid-based IR markers in stratifying the CV risk in patients with MASLD needs further validation in larger cohorts.

Association of atherosclerosis indices, serum uric acid to high-density lipoprotein cholesterol ratio and triglycerides-glucose index with hypertension: A gender-disaggregated analysis.

This study assessed the association between atherosclerosis indices, serum uric acid to high-density lipoprotein cholesterol ratio (UHR) and triglyceride-glucose (TyG) index and the prevalence of hypertension among MASHAD cohort participants. In this cross-sectional study, the participants were divided into hypertensive and non-hypertensive subjects. The atherosclerosis indices, UHR and TyG index of the two groups were compared. Logistic regression analyses were used to determine the associations of these indices with hypertension in both sex. Receiver operating characteristic (ROC) curve analysis was used to establish the cut-off values for differentiating hypertensive from non-hypertensive subjects. p-values<.05 were considered statistically significant. Data related to 9675 subjects (3035 hypertensive and 6640 non-hypertensive) were analyzed. The mean values of atherosclerosis indices, UHR and TyG index were significantly higher (p<.001) in the hypertensives compared to non-hypertensives. After adjustment for potential confounders, among men, the TyG index (OR=1.360; 95% CI: 1.210-1.530; p<.001) remained an independent factor for hypertension. Among women, atherogenic index of plasma (OR=1.005; 95% CI: 1.002-1.007; p<.001), UHR (OR=1.043; 95% CI: 1.026-1.060; p<.001) and TyG index (OR=1.519; 95% CI: 1.376-1.677; p<.001) remained independent factors for hypertension. ROC curve analysis revealed that compare to the other indices, TyG index had a better predictive value for hypertension in both sex, especially in women.

Cardiorespiratory fitness attenuates the association between fatness and cardiometabolic risk in Chinese children.

Childhood obesity tends to persist into adulthood, predisposing individuals to cardiometabolic risk (CMR). This study aims to investigate the mediating role of cardiorespiratory fitness (CRF) in the associations between multiple fatness indicators and individual CMR markers and clustered CMR-score, and explore sex differences. We recruited 1,557 children (age: 8 to 10, male/female: 52.7%/47.3%) in September 2022 in Ningbo, China. Physical examinations, overnight fasting blood test, and CRF was evaluated. The CMR-score was calculated by summing age- and sex-specific z scores of four CMR markers, including mean arterial blood pressure, triglycerides, the total cholesterol to high-density lipoprotein cholesterol ratio, and homeostatic model assessment for insulin resistance. Generalized linear mixed models were used to identify the associations, mediation analyses were performed to dissect the function of CRF. Partial correlation analyses revealed positive associations between high fatness indicators (including body mass index [BMI], BMI z score, body fat mass index [BFMI] and waist-to-height ratio [WHtR]) and increased CMR markers, whereas high CRF was associated with decreased CMR markers (all P < 0.05). In the mediation analyses, CRF emerged as a partial mediator, attenuating the relationship between four fatness indicators and CMR-score. Specifically, CRF mediated 6.5%, 7.7%, 5.3%, and 12.5% of the association between BMI, BMI z score, BFMI, WHtR and CMR-score (all P < 0.001). And the mediating effects of CRF between WHtR and four individual CMR markers was particularly robust, ranging from 10.4% to 21.1% (all P < 0.05). What's more, CRF mediates the associations between WHtR and CMR-score more pronounced in girls than boys with a mediation effect size of 17.3% (P < 0.001). In Chinese children, CRF partially mitigates the adverse effects of fatness on CMR, underscoring the significance of enhancing CRF in children.

The predictive value of body mass index, waist circumference, and triglycerides/ high-density lipoprotein cholesterol ratio in assessing severity in patients with knee osteoarthritis and metabolic syndrome

BackgroundStudies have shown the importance of metabolic factors like BMI, waist circumference, and lipid profile in predicting knee osteoarthritis severity. However, their predictive ability in knee osteoarthritis patients with metabolic syndrome still needs to be explored. ObjectivesEvaluate the predictive ability of Body mass index (BMI), waist circumference, and triglyceride/ High-density lipoprotein cholesterol (HDL-c) ratio in determining the severity of knee osteoarthritis in patients with metabolic syndrome. Materials and methodsA cross-sectional study at Ho Chi Minh City Hospital for Rehabilitation and Professional Diseases from January 2023 to January 2024 included 697 patients meeting ACR 1991 and NCEP-ATP III criteria for knee osteoarthritis and metabolic syndrome, respectively. Logistic regression analyzed the predictive ability of BMI, waist circumference, and triglyceride/HDL-C ratios. Six hundred ninety-seven patients were divided into two groups: severe and non-severe knee osteoarthritis. The criteria for severity were defined as the presence of both: (1) Kellgren-Lawrence grade 3 or higher on knee radiographs and (2) moderate or higher knee pain. Two models were constructed to analyze the predictive ability of severe knee osteoarthritis. Model 1 included univariate factors, while Model 2 incorporated multivariate models. ResultsAmong the 697 patients who participated in the study, the average age was 58.7 ± 12.1 years, and females accounted for 71.3 %. The mean BMI and waist circumference were 24.8 ± 2.0 kg/m2 and 86.2 ± 6.0 cm, respectively. In model 1 (univariate), the discriminative ability of BMI, waist circumference, and triglycerides/HDL-c in predicting severity was excellent, with respective AUCs of 0.90 (95 % CI: 0.87–0.92, p < 0.001), 0.81 (95 % CI: 0.78–0.85, p < 0.001), and 0.85 (95 % CI: 0.82–0.88, p < 0.001). In model 2 (combined model), the combination of all three factors resulted in an AUC of 0.93 (95 % CI: 0.91–0.95, p < 0.001) with a specificity of up to 90.2 %. ConclusionBMI, waist circumference, and triglyceride/HDL-C ratio are individual and combined predictors of knee osteoarthritis severity in patients with metabolic syndrome.

Serum lncRNA RAMP2-AS1 Served as a Biomarker of Deep Vein Thrombosis Occurrence and Development in Elderly.

The incidence of deep vein thrombosis (DVT) is increasing with aging, which needs a screening and monitoring biomarker. This study focused on the significance of aging- and angiogenesis-related lncRNA RAMP2-AS1 (RAMP2-AS1) aiming to identify a promising biomarker for the incidence of DVT. Serum samples were collected from 63 healthy individuals and 98 patients with DVT. The serum RAMP2-AS1 level was analyzed by PCR and its significance in DVT detection and development prediction was evaluated by ROC and multivariate Cox regression analysis. The regulatory effect of RAMP2-AS1 on endothelial progenitor cells (EPCs) was evaluated by CCK8 and transwell assays. RAMP2-AS1 was significantly downregulated in patients with DVT, which could discriminate patients with DVT from healthy individuals with relatively high sensitivity and specificity. The downregulation of RAMP2-AS1 could predict poor outcomes and was associated with activities of daily living (ADL), neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), lymphocyte to monocyte ratio (LMR), and monocyte to high-density lipoprotein cholesterol ratio (MHR) of patients with DVT. RAMP2-AS1 was identified as an independent prognostic factor of DVT by Cox regression analysis. In EPCs, overexpressing RAMP2-AS1 significantly suppressed cell proliferation, migration, and invasion. Downregulated serum RAMP2-AS1 could predict the incidence and progression of DVT. RAMP2-AS1 inhibited EPCs growth and motility, which provides a target for thrombolytic therapy. RAMP2-AS1 level could be included in the risk assessment model of DVT.

Association of non-insulin-based insulin resistance indices with disease severity and adverse outcome in idiopathic pulmonary arterial hypertension: a multi-center cohort study

BackgroundInsulin resistance (IR) plays an important role in the pathophysiology of cardiovascular disease. Recent studies have shown that diabetes mellitus and impaired lipid metabolism are associated with the severity and prognosis of idiopathic pulmonary arterial hypertension (IPAH). However, the relationship between IR and pulmonary hypertension is poorly understood. This study explored the association between four IR indices and IPAH using data from a multicenter cohort.MethodsA total of 602 consecutive participants with IPAH were included in this study between January 2015 and December 2022. The metabolic score for IR (METS-IR), triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio, triglyceride and glucose (TyG) index, and triglyceride-glucose-body mass index (TyG-BMI) were used to quantify IR levels in patients with IPAH. The correlation between non-insulin-based IR indices and long-term adverse outcomes was determined using multivariate Cox regression models and restricted cubic splines.ResultsDuring a mean of 3.6 years’ follow-up, 214 participants experienced all-cause death or worsening condition. Compared with in low to intermediate-low risk patients, the TG/HDL-C ratio (2.9 ± 1.7 vs. 3.3 ± 2.1, P = 0.003) and METS-IR (34.5 ± 6.7 vs. 36.4 ± 7.5, P < 0.001) were significantly increased in high to intermediate-high risk patients. IR indices correlated with well-validated variables that reflected the severity of IPAH, such as the cardiac index and stroke volume index. Multivariate Cox regression analyses indicated that the TyG-BMI index (hazard ratio [HR] 1.179, 95% confidence interval [CI] 1.020, 1.363 per 1.0-standard deviation [SD] increment, P = 0.026) and METS-IR (HR 1.169, 95% CI 1.016, 1.345 per 1.0-SD increment, P = 0.030) independently predicted adverse outcomes. Addition of the TG/HDL-C ratio and METS-IR significantly improved the reclassification and discrimination ability beyond the European Society of Cardiology (ESC) risk score.ConclusionsIR is associated with the severity and long-term prognosis of IPAH. TyG-BMI and METS-IR can independently predict clinical worsening events, while METS-IR also provide incremental predictive performance beyond the ESC risk stratification.

Association of Three Novel Inflammatory Markers: Lymphocyte to HDL-C Ratio, High-Sensitivity C-Reactive Protein to HDL-C Ratio and High-Sensitivity C-Reactive Protein to Lymphocyte Ratio With Metabolic Syndrome.

We aimed to compare the association of three novel inflammatory indicators with metabolic syndrome (MetS) among Mashhad stroke and heart atherosclerotic disorder (MASHAD) cohort participants. According to the International Diabetes Federation (IDF) criteria, the cohort participants were divided into the MetS(+) and MetS(-) groups. The lymphocyte to high-density lipoprotein cholesterol (HDL-C) ratio (LHR), high-sensitivity C-reactive protein (hs-CRP) to HDL-C ratio (HCHR) and hs-CRP to lymphocyte ratio (HCLR) were calculated and were compared between the groups. Binary logistic regression (LR) analysis was performed to find the association of the indices with the presence of MetS among men and women. Receiver-operating characteristic (ROC) curve analysis was used to establish cut-off values in predicting MetS for men and women. p-Values <0.05 were considered as statistically significant. Among a total of 8890 participants (5500 MetS(-) and 3390 MetS(+)), LHR, HCHR and HCLR were significantly higher in the MetS(+) group than in MetS(-) group (p < 0.001). In LR analysis, after adjusting for multiple cofounders, LHR remained an independent factor for the presence of MetS among men (OR: 1.254; 95% CI: 1.202-1.308; p < 0.001) and women (OR: 1.393; 95% CI: 1.340-1.448; p < 0.001). HCHR also remained an independent factor for the presence of MetS only in women (OR: 1.058; 95% CI: 1.043-1.073; p < 0.001). ROC curve analysis showed that LHR had the higher AUC for predicting MetS in both men (AUC: 0.627; 95% CI: 0.611-0.643; p < 0.001) and women (AUC: 0.683; 95% CI: 0.670, 0.696; p < 0.001). This suggests that among both genders, the LHR as an inexpensive and easy-to-access marker has a better diagnostic performance and could be a promising alternative to the traditional expensive inflammatory markers such as hs-CRP for the evaluation of inflammation in patients with MetS.

Association between gamma glutamyl transpeptidase to HDL-Cholesterol (GGT/HDL-C) ratio and metabolic syndrome resolution after sleeve gastrectomy.

To evaluate the association between GGT/HDL-C ratio and resolution of MetS in adults after sleeve gastrectomy (SG). We conducted a retrospective cohort study using secondary data from a Peruvian bariatric center. The study population consisted of adults aged 18 and above who underwent laparoscopic SG and were diagnosed with MetS prior to the surgery. The main outcome measured was MetS resolution 6months post-surgery and the exposure variable was the GGT/HDL-C ratio. We analyzed 137 patients with a mean age of 38.9 ± 10.9years; 64.2% were females. The median GGT/HDL-C ratio was 1.1 [0.7 - 1.5], and 83.9% of patients experienced resolution of MetS. Furthermore, both the middle tertile of GGT/HDL-C (aRR: 1.28; 95% CI: 1.04 - 1.58; p = .019) and the lowest tertile (aRR: 1.27; 95% CI: 1.01 - 1.60; p = .038) showed a significant association with the resolution of MetS. Eight out of 10 patients undergoing SG experience resolution of MetS within 6months after surgery. Patients in the middle and lower tertiles of the GGT/HDL-C were more likely to achieve this outcome. Therefore, the GGT/HDL-C ratio should be considered a valuable and efficient biomarker for preoperative assessment of bariatric surgery candidates.

ASSOCIATIONS OF THE CARDIOMETABOLIC INDEX WITH THE RISK OF CARDIOVASCULAR DISEASE IN PATIENTS WITH HYPERTENSION AND OBSTRUCTIVE SLEEP APNEA: RESULTS OF A LONGITUDINAL COHORT STUDY

Objective: We aimed to explore the relationship between the cardiometabolic index (CMI) and cardiovascular disease (CVD) and its subtypes (coronary artery disease and stroke) in patients with hypertension and obstructive sleep apnea (OSA). Design and method: We conducted a retrospective cohort study enrolling 2067 participants from the Urumqi Research on Sleep Apnea and Hypertension study. The CMI was calculated as triglyceride to high-density lipoprotein cholesterol ratio × waist-to-height ratio. Participants were divided into three groups (T1, T2, and T3) according to the tertile of CMI. The Kaplan-Meier method helped to calculate the cumulative incidence of CVD in different groups. We assessed the association of CMI with the risk of CVD and CVD subtypes by estimating hazard ratios (HRs) and 95% confidence intervals (CIs) using Cox models. Results: During a median follow-up of 6.83 years (interquartile range: 5.92-8.00 years), 326 incident CVD were identified, including 121 incident stroke and 205 incident coronary heart disease (CHD). Overall, after adjusting for confounding variables, CMI was positively associated with the risk of new-onset CVD (per SD increment, adjusted HR: 1.31; 95% CI: 1.20, 1.43), new-onset CHD (per SD increment, adjusted HR: 1.33; 95% CI: 1.20, 1.48), and new-onset stroke (per SD increment, adjusted HR: 1.27; 95% CI: 1.10, 1.47). Similar results were obtained in various subgroup and sensitivity analyses. Adding CMI to the baseline risk model for CVD improved the C-index (P &lt; 0.001), continuous net reclassification improvement (P &lt; 0.001), and integrated discrimination index (P &lt; 0.001). Similar results were observed for CHD and stroke. Conclusions: There was a positive association between CMI levels and the risk of new-onset CVD in patients with hypertension and OSA. This finding suggests that CMI may help identify people at high risk of developing CVD.