Cholesterol Ratio Research Articles

Efficacy and Safety of Adding Empagliflozin to Liraglutide on Renal Function in Patients with Advanced-Stage Type 2 Diabetic Kidney Disease: A Randomized Controlled Trial.

The aim of this study was to investigate the additional effects of empagliflozin on liraglutide in patients with advanced-stage type 2 diabetic kidney disease. Forty-one patients were randomly assigned (1:1) to treatment with liraglutide alone during the first 6 months and subsequent treatment with liraglutide plus empagliflozin during the next 6 months (liraglutide plus empagliflozin group) (n = 20) or treatment with liraglutide alone for 12 months (liraglutide group) (n = 21). Liraglutide was administered subcutaneously once daily at a starting dose of 0.3 mg/day and up-titrated weekly by 0.3 mg to a maximum dose of 0.9 mg/day. Empagliflozin was administered orally at a dose of 10 mg once daily. The primary outcome was the change in renal function (estimated glomerular filtration rate) during the latter 6 months. Secondary outcomes were changes in body weight, systolic blood pressure, hemoglobin, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, triglyceride, uric acid, blood glucose, hemoglobin A1c, and urine protein creatinine ratio during the latter 6 months. Empagliflozin significantly increased the hemoglobin concentration (from 12.9 ± 1.9 to 13.7 ± 1.9 g/dL; p<0.05) and decreased body weight (from 66.1 ± 12.9 to 64.5 ± 12.6 kg; p<0.05). No significant differences were observed between the groups for estimated glomerular filtration rate, systolic blood pressure, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, triglyceride, uric acid, blood glucose, hemoglobin A1c, and urine protein creatinine ratio. Empagliflozin increased hemoglobin concentration and decreased body weight in patients with advanced-stage type 2 diabetic kidney disease who received liraglutide. However, empagliflozin did not provide short-term benefits with regard to renal function decline, urinary protein excretion, or glycemic control in these patients.

Associations of non-insulin-based insulin resistance indices with presence and extent of multi-territorial atherosclerosis: A cross-sectional study

BackgroundNon-insulin-based insulin resistance (IR) indices, simple and reliable surrogates for IR calculated without insulin level, have been reported to be associated with cardiovascular and cerebrovascular diseases. MethodsParticipants without diabetes from the cross-sectional baseline survey of the PRECISE (Poly-Vascular Evaluation for Cognitive Impairment and Vascular Events) cohort study were included in present study. Non-insulin-based IR indices, including triglyceride and glucose (TyG) index, triglyceride glucose-body mass (TyG-BMI) index, triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio, and metabolic score for insulin resistance (METS-IR) index, were calculated and stratified into quartiles. Intracranial, extracranial, coronary, subclavian, aorta, renal, ilio-femoral, and peripheral arteries were also assessed at baseline. ResultsOf 2759 included participants, the average age was 60.9 ( ± 6.6) years, and 1460 (52.9 %) were female. Compared with the first quartile of TyG index, the fourth quartile of TyG index was associated with an increased presence and extent of atherosclerotic plaques (OR, 3.51; 95 %CI,1.30–1.87; cOR, 2.22; 95 %CI,1.76–2.79) and presence and extent of atherosclerotic stenosis (OR, 1.60; 95 %CI,1.24–2.06; cOR, 1.66; 95 %CI,1.30–2.12). Such associations were also observed for the relationship of TyG-BMI index, TG/HDL-C ratio, and METS-IR index with the presence and extent of atherosclerotic plaques and stenosis. Addition of 4 non-insulin-based IR indices to the basic model with traditional risk factors improved the predictive performance of the presence of atherosclerotic plaque and stenosis. ConclusionsElevated non-insulin-based IR indices levels were associated with an increased risk of presence and extent of atherosclerotic plaques and stenosis in non-diabetic, older individuals in the PRECISE study. Further, these IR surrogate markers have certain predictive performance to assess the risk of multi-territorial atherosclerosis.

Neutrophil-to-HDL-C Ratio as an inflammatory biomarker in patients with anxiety and obstructive coronary artery disease: A retrospective study

BackgroundAnxiety is a common comorbidity with coronary artery disease (CAD). The neutrophil-to-lymphocyte ratio (NLR), neutrophil-to-high-density lipoprotein cholesterol (HDL-C) ratio (NHR), lymphocyte-to-HDL-C ratio (LHR), and monocytes-to-lymphocyte ratio (MLR) can predict the severity of CAD. This retrospective study aimed to explore the relationship between NLR, NHR, LHR, and MLR and the presence of obstructive or severe CAD (OCAD, SCAD) in patients with comorbid anxiety and chest pain. MethodsA total of 1063 patients with anxiety and chest pain were divided into an NOCAD group and OCAD group according to computed topography angiography (CCTA). The 455 patients in the OCAD group were further divided into the NSCAD group (n = 216) and SCAD group (n = 239) according to coronary angiography (CAG) results, and the Gensini score (GS) was calculated. Demographic and laboratory data were collected. ResultsMultiple regression analysis showed that higher NLR, NHR, and LHR served as independent risk factors for OCAD in patients with anxiety and chest pain (OR 1.37, 95%CI: 1.13–1.65, p = 0.001; OR 2.24, 95%CI: 1.89–2.65, p < 0.001; OR 2.47, 95%CI: 1.87–3.62, p < 0.001), and both were significantly associated with SCAD (OR 1.93, 95%CI: 1.44–2.59, p < 0.001; OR 4.45, 95%CI: 3.28–6.31, p < 0.001; OR 2.86, 95%CI: 1.93–4.25, p < 0.001). Area under the receiver operating characteristic curve analysis showed that NHR had the highest predictive value for OCAD and SCAD compared with NLR and LHR (AUC 0.71, sensitivity 57.14 %, specificity 68.20 %; AUC 0.86, sensitivity 83.68 %, specificity 74.54 %, respectively). When NHR and GS were combined, the predictive value for SCAD further increased compared to other parameters (AUC 0.94, sensitivity 92.05 %, specificity 87.05 %). ConclusionNLR, NHR, and LHR were associated with severity of coronary stenosis in patients with comorbid anxiety and chest pain. Among these systemic inflammatory markers, NHR served as a more effective independent predictor of OCAD and SCAD in these patients.

Physical activity modifies the association between atherogenic index of plasma and prediabetes and diabetes: A cross-sectional analysis.

Although research has explored the association between atherogenic index of plasma (AIP) and prediabetes and diabetes, there is still not sufficient available evidence the role of physical activity (PA) in this relationship. Our purpose is to examine the complex connections between AIP, PA, and prediabetes and diabetes in a young and middle-aged population. This study included 2220 individuals from the general population, aged 20-60 years. AIP was calculated from the logarithm of the triglyceride (TG) to high-density lipoprotein cholesterol (HDL-C) ratio. PA was assessed depending to the American Heart Association (AHA) criteria and categorized into medium-high and low PA levels. We used binary logistic regression to explore associations and subsequently performed sensitivity and subgroup analyses. The 2220 participants had a mean age of 38 years, with a mean AIP of -0.1185, and a prediabetes and diabetes prevalence of 7.2%. After adjusting for auxiliary variables, AIP was positively correlated with prediabetes and diabetes (odds ratio [OR]: 3.447, 95% confidence interval [CI]: 1.829-6.497). In the low PA population, the prevalence of prediabetes and diabetes raised significantly with higher AIP (OR: 3.678, 95% CI: 1.819-7.434). This association was not meaningful in the medium to high PA population (OR: 1.925, 95% CI: 0.411-9.007). Joint and sensitivity analyze results also showed agreement. Restricted cubic spline identified a linear relationship between AIP and the prevalence of prediabetes and diabetes. Notably, the prevalence significantly increases when AIP values exceed -0.16 (p for linearity <0.05). The findings revealed heterogeneity across subgroups stratified by sex and age. PA may modify the link as regards AIP with prediabetes and diabetes in young and middle-aged populations. Adherence to PA prevents the adverse effects of abnormal glucose metabolism caused by dyslipidemia, particularly in women.

Triglyceride-Glucose Index and Triglyceride-to-High-Density Lipoprotein Cholesterol Ratio as Novel Predictors of AKI: A Large-Scale Prospective Study

Triglyceride-Glucose Index and Triglyceride-to-High-Density Lipoprotein Cholesterol Ratio as Novel Predictors of AKI: A Large-Scale Prospective Study

Associations of Platelet to High-Density Lipoprotein Cholesterol Ratio with Chronic Obstructive Pulmonary Disease: A Cross-Sectional Study from the US National Health and Nutrition Examination Survey.

The platelet to high-density lipoprotein cholesterol ratio (PHR) is a novel biomarker for inflammation and hypercoagulability. This study aimed to explore the potential association between PHR and prevalence of chronic obstructive pulmonary disease (COPD). Participants aged between 40 and 85 years from the 1999-2018 US National Health and Nutrition Examination Survey with COPD were included. Multivariable logistic regression and restricted cubic spline analysis were applied to evaluate the associations between PHR and COPD. Propensity score matching (PSM) was performed to reduce the impact of potential confounding factors. A total of 25751 participants, including 753 with COPD, at a mean age of 57.19 years and 47.83% men, were included. The multivariable-adjusted model showed that the odds ratio (OR) and 95% confidence interval (CI) for PHR to predict COPD was 1.002 (1.001-1.003). Compared with the lowest quartile, the ORs and 95% CIs for the Q2, Q3, and Q4 PHR quartile were 1.162 (0.874-1.546), 1.225 (0.924-1.625), and 1.510 (1.102-2.069), respectively (P for trend = 0.012). Restricted cubic spline analysis demonstrated a linear association between PHR and COPD prevalence both before and after PSM. Significant association between PHR and COPD prevalence was observed only in participants without hypertension. Receiver-operating characteristic curves showed significantly higher area under the curve for distinguishing COPD from non-COPD by PHR than platelet count and high-density lipoprotein cholesterol. PHR is significantly associated with COPD prevalence in US adults aged 40 to 85 years without hypertension, supporting the effectiveness of PHR as a potential biomarker for COPD.

Relationship between serum triglyceride to high-density lipoprotein cholesterol ratio and frailty in older adults

Relationship between serum triglyceride to high-density lipoprotein cholesterol ratio and frailty in older adults

Association between the non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and cardiovascular outcomes in patients undergoing percutaneous coronary intervention: a retrospective study

BackgroundDyslipidemia is prominently associated with adverse outcomes in patients with coronary artery disease (CAD). The non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) is a novel comprehensive lipid index. However, limited evidence exists on the relationship of the NHHR with the risk of adverse outcomes in patients with CAD. This study aimed to explore the associations between the NHHR and adverse outcomes and identify the optimal NHHR ranges linked to the lowest adverse outcome risk in patients with CAD undergoing percutaneous coronary intervention (PCI).MethodsAmong 2253 patients with CAD undergoing PCI, 2251 with available total cholesterol and HDL-C levels were analyzed. Furthermore, all patients were classified into quintiles based on the NHHR. The primary outcome was the incidence of MACCEs, comprising cardiac mortality, acute myocardial infarction, stroke, and repeat revascularization. Multivariable logistic regression analysis was used to assess the relationship between the NHHR and MACCEs. Moreover, restricted cubic spline (RCS) analysis was performed to quantify nonlinearity. Lastly, the consistency between these associations was confirmed by conducting subgroup and interaction analyses.ResultsA total of 270 patients experienced MACCEs over a median follow-up of 29.8 months (interquartile range, 25.6–34 months). After adjustment for confounding variables, the adjusted ORs (95% CIs) of the patients in quintiles 2, 3, 4, and 5 were 0.79 (0.52–1.20), 0.64 (0.42–0.99), 1.00 (0.67–1.48), and 1.17 (0.74–1.64), respectively (reference group: quintile 1). Additionally, RCS analysis demonstrated a U-shaped relationship between the NHHR and MACCEs, with an inflection point at an NHHR of 3.119 using a two-piecewise regression model. This relationship was consistent across the various subgroups, while significant interactions were not observed in these associations.The ORs and 95% CIs to the left and right of the inflection point were 0.734 (0.551–0.978) and 1.231 (1.038–1.460), respectively.ConclusionsThis study reveals a U-shaped association between baseline NHHR and MACCE incidence in patients with CAD undergoing PCI.

Gamma-glutamyl transferase to high-density lipoprotein cholesterol ratio: A valuable predictor of coronary heart disease incidence

Background and AimExisting studies have found that serological markers for predicting coronary heart disease (CHD) have relatively low predictive value for the severity of coronary arteries and the types of CHD. GGT to HDL-C ratio (GHR) has been shown to be associated with T2DM and non-alcoholic fatty liver disease. Therefore, we explore the relationship among GHR, CHD and its subgroups. Methods and ResultsThe study retrospectively analyzed 2703 participants from August 2022 to August 2023. The patients were divided into CHD group (N=1911) and control group (N=792) according to the diagnostic criteria of CHD. Adjustments for all covariates found that the GHR was an independent risk factor for CHD (OR: 1.025, 95% CI 1.016-1.033) and had the highest AUC of 0.767 (95% CI 0.744-0.790) in identifying CHD. Additionally, GHR was significantly associated with multi-vessel CHD (OR: 1.018, 95% CI 1.012-1.023) and showed excellent diagnostic capability for patients with multi-vessel CHD (AUC: 0.638). Moreover, compared with chronic coronary syndromes (CCS) and unstable angina (UA) groups, the level of GHR was significantly increased in acute myocardial infarction (AMI) (ST elevation myocardial infarction and Non-ST elevation myocardial infarction) groups (P<0.05). GHR had the higher AUC in STMETI [0.819 (95% CI 0.796-0.854)] and NASTEMI [0.792 (95% CI 0.766-0.816)] than the CCS and UA groups. ConclusionsOur study analyses found that GHR is an independent risk factor for CHD and can predict the severity of coronary artery stenosis. Moreover, GHR has a high predictive value for AMI than CCS and UA in CHD patients.

Cardio-Metabolic Index as a Novel Predictor for Metabolic Associated Fatty Liver Disease (MAFLD) In Egyptian Patients

Abstract Background Metabolic associated fatty liver disease (MAFLD), formerly known as nonalcoholic fatty liver disease (NAFLD), is a new definition of liver disease associated with known metabolic dysfunction and is the most common chronic liver disease worldwide. Aim of the Work to investigate the association between the cardiometabolic index (CMI) with risk of metabolism-associated fatty liver disease (MAFLD). Patients and Methods a cross-sectional study. It included 50 patients. It was conducted in Ain Shams University Internal Medicine department for six months from June 2023 to December 2023. Results the study revealed that a wide age group ranging from 22 to 70 years, (mean age of 49.86±12.91 years). There was male to female ratio 1:1, mean of BMI [wt/ (ht)∧2] was 34.17±5.28, WHtR was 0.59±0.09, DM was 22 (44.0%) and HTN was 22 (44.0%). Association between CMI and different parameters was done and resulted in no statistically significant association between CMI and sex, obesity. While it showed statistically significant association between CMI and age groups, higher score of steatosis, higher score of fibrosis, and enlarged liver size. Correlation between CMI with different parameters in patients, using Pearson's correlation coefficient (r) was done and resulted in; statistically significant positive correlation between CMI with age (years), HTN, TG, steatosis score, fibrosis score and size liver, with p-value (p &amp;lt; 0.05). While, there was a statistically significant negative correlation between Cardio-metabolic Index with WHtR and HDL, with p-value (p &amp;lt; 0.05). As for the rest have insignificant correlation, with p-value (p &amp;gt; 0.05). ROC curve analysis proved good discriminating power of the (Cardio-metabolic Index) between positive liver and negative liver for Fibrosis where Area under the ROC curve (AUC) = 0.86 with SE 0.163 (95% Confidence interval 0.72 – 0.94. Z statistic= 6.332, p &amp;lt; 0.001. Cutoff point &amp;gt;5.5 with sensitivity= 87.2% and specificity=81.8. Conclusion The cardiometabolic index (CMI), a recently developed index reflecting visceral adipose tissue (VAT) distribution and dysfunction consisting of anthropometric and biochemical indicators, including waist-to-height ratio (WHtR) and triglyceride to high- density lipoprotein cholesterol ratio (TG/HDL-C), which can be easily obtained during a health examination.

The Predictive Value of SII Combined with UHR for Contrast-Induced Acute Kidney Injury in Patients with Acute Myocardial Infarction After Percutaneous Coronary Intervention.

Contrast-induced acute kidney injury (CI-AKI) refers to the acute renal dysfunction caused by the injection of contrast agents. CI-AKI is currently a common complication after percutaneous coronary intervention (PCI). To investigate the predictive value of the combined systemic inflammatory index (SII) and urate/high-density lipoprotein cholesterol ratio (UHR) for CI-AKI after PCI in patients with AMI. A total of 1222 patients with AMI who underwent PCI were randomly divided into a training group and a validation group in an 8:2 ratio. According to the definition of CI-AKI diagnostic criteria, the training group was divided into CI-AKI group and non-CI-AKI group. Collect patient's blood and biochemical data, then calculate SII and UHR. The risk factors for CI-AKI were identified using LASSO and multivariate logistic regression analyses. A predictive column was created by using R language.Evaluate the predictive value of SII, UHR and their combination for CI-AKI after PCI using the area under the ROC curve (AUC). Diabetes, Cystatin C, Diuretics, UHR, and LnSII were independent risk factors for CI-AKI in AMI patients after PCI. The ROC curve showed that the AUC of UHR and SII combined for predicting CI-AKI in AMI patients after PCI was 0.761 (95% CI: 0.709-0.812), with a sensitivity of 65.20% and a specificity of 76.70%, which was better than the prediction by either factor alone. High SII and high UHR are risk factors for AMI, and their combination can improve the accuracy of predicting CI-AKI in AMI patients after PCI.The prognosis of CI-AKI in AMI patients is worse than in the general population.

Impact of Triglyceride-to-High-Density Lipoprotein Cholesterol Ratio as a Hyperinsulinemia Marker of Kidney Function Decline

Impact of Triglyceride-to-High-Density Lipoprotein Cholesterol Ratio as a Hyperinsulinemia Marker of Kidney Function Decline

Home Blood Pressure Variability Risk Prediction Score for Cardiovascular Disease Using Data From the J-HOP Study.

Home blood pressure (BP) is more closely associated with cardiovascular event risk than office BP, but cardiovascular risk prediction based on home BP variability is lacking. This study developed a simple cardiovascular event prediction score, including home BP variability data, from the J-HOP study (Japan Morning Surge-Home Blood Pressure). The J-HOP study extended follow-up from December 2017 to May 2018 generated the study data set (4231 patients). Cardiovascular events included fatal/nonfatal stroke (n=94), coronary heart disease (n=124), heart failure (n=42), and aortic dissection (n=8). Cox proportional hazards models were used to predict overall cardiovascular risk. Potential covariates included age, sex, body mass index, smoking, history of diabetes, statin use, history of cardiovascular disease, total cholesterol:high-density lipoprotein cholesterol ratio, office systolic BP (SBP), mean of morning-evening average (MEave), home SBP, and average real variability of MEave home SBP. A risk score and models were constructed, and model performance was assessed. Model performance was best when average real variability of MEave SBP was included (C statistic, 0.760). The risk score assigns points for age (5-year bands), sex, cardiovascular disease history, high-density lipoprotein cholesterol, mean MEave home SBP, and average real variability of MEave home SBP. Estimated 10-year cardiovascular risk ranged from ≤0.6% (score ≤0) to >32% (score ≥26). Calibration 2 statistics values for the model (2.66) and risk score (5.29) indicated excellent goodness of fit. This simple cardiovascular disease prediction algorithm, including day-by-day home BP variability, could be used as part of a home BP-centered approach to hypertension management in clinical practice.

Association between high-density lipoprotein-related inflammation index and periodontitis: insights from NHANES 2009-2014.

Periodontitis, a persistent inflammatory condition, significantly impairs individuals' overall quality of life. Lymphocyte-to-high-density lipoprotein cholesterol ratio (LHR), monocyte-to-high-density lipoprotein cholesterol ratio (MHR), neutrophil-to-high-density lipoprotein cholesterol ratio (NHR), and platelet-to-high-density lipoprotein cholesterol ratio (PHR) are new convenient and economical biomarkers. However, whether the above high-density lipoprotein-related inflammatory biomarkers are associated with periodontitis has rarely been investigated. Therefore, the research endeavor focused on uncovering potential relationships. The research encompassed a diverse and extensive sample, comprising 9,470 participants, selected from the National Health and Nutrition Examination Survey spanning the years 2009 to 2014. The association between high-density lipoprotein-related inflammatory biomarkers and periodontitis was explored utilizing a multivariable logistic regression model with weighted analysis. Additionally, the study employed smoothed curve fitting to explore potential nonlinear relationships. Further stratified analyses and interaction tests were performed. This study indicated no apparent association between MHR and PHR with periodontitis, whereas LHR and NHR demonstrated a statistically significant positive relationship with the prevalence of periodontitis. In the fully adjusted model, participants belonging to the highest tertile of both LHR and NHR showed a notably higher likelihood of having periodontitis compared to those in the lowest tertile (LHR: OR = 1.22, 95% CI: 1.06, 1.39; NHR: OR = 1.27, 95% CI: 1.09, 1.49). Furthermore, smooth curve fitting was employed to investigate the potential nonlinear relationship between LHR, NHR, and periodontitis. The results indicated that there was a significant increase in the occurrence of periodontitis when Log2 (LHR) exceeded 1.01 and Log2(NHR) surpassed 2.16 (Log2(LHR): OR = 1.42; 95% CI: 1.19, 1.69; Log2(NHR): OR = 1.40; 95% CI: 1.15, 1.71). The subgroup analysis revealed that the associations between periodontitis and either LHR or NHR, separately, were more pronounced among individuals under the age of 50 and those without hypertension. This cross-sectional study revealed a positive relationship between LHR、NHR and periodontitis, particularly when these indicators exceeded their thresholds. LHR and NHR may serve as potential inflammatory markers for identifying periodontitis, thereby facilitating early warning for both patients and dentists, and enabling early intervention in the oral environment. Besides, extensive prospective cohort investigations are essential to confirm and solidify this observation.

The predictive significance of uric acid to high density lipoprotein- cholesterol ratio and uric acid for the severity and mortality of coronavirus disease-19

ObjectiveThe non-invasive and inexpensive predictive indicators seem to be essential for the evaluation of coronavirus disease-19 (COVID-19) prognosis. Uric acid to high-density lipoprotein-cholesterol ratio (UHR) have been known as inflammatory and metabolic biomarker in some disorders. This study aimed to evaluate the usefulness of serum uric acid (UA) and UHR values on admission as prognostic indicators for the severity and mortality of COVID-19. Regression models were accomplished to assess the association between UA and UHR with the severity and mortality of COVID-19.ResultsThis study was performed with 424 confirmed COVID-19 patients. The mean UA and UHR values of the severe group and deceased group were statistically higher than those mild group and survivor group, respectively (P < 0.05). Compared to the survivor cases, deceased subjects had lower serum concentrations of HDL-c (p < 0.05). Multivariate logistic regression analysis showed that UHR and UA values statistically are correlated with the severity (OR = 1.20 CI:1.07–1.35, OR = 1.19 CI:1.023–1.381 respectively) and mortality (OR = 10.04 CI:1.50–67.30, OR = 10.73 CI:1.47–87.11, respectively) of COVID-19. Compared with a reference range, serum UA levels ≥ 7.3 mg/dl and a UHR value greater than 0.185 increase the risk of critical care of COVID-19 almost 2.5 and 3.5 times, respectively. In summary, our results revealed that UHR index value and serum UA levels are useful biochemical indicators for predicting the severity and mortality of COVID-19.

The non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) is associated with thyroid hormones and thyroid hormone sensitivity indices: a cross-sectional study

BackgroundLipids and thyroid hormones (TH) are closely interrelated. However, previous studies have not mentioned the linkage encompassing the non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) alongside TH level, as well as sensitivity indices.MethodsThis cross-sectional study leverages expansive datasets from the National Health and Nutrition Examination Survey (NHANES) spanning 2007 to 2012. Weighted multivariate linear regression, smoothed curve fitting and sensitivity analyses were used to investigate the associations of the NHHR with the thyroid. Subgroup analyses and interaction tests were conducted to determine the robustness of the findings across diverse segments of the population, ensuring the consistency and generalizability of the observed associations.ResultsThe NHHR was significantly positively correlated with free triiodothyronine (FT3) levels, thyroid-stimulating hormone (TSH) levels, the FT3 to FT4 ratio (FT3/FT4), and the quantile-based thyroid feedback index for FT3 (TFQIFT3) and negatively correlated with free thyroxin (FT4) levels [0.17(0.07–0.27), P = 0.001; 0.60 (0.03–1.17), P = 0.040; 0.06 (0.04–0.08), P < 0.0001; 0.23 (0.16–0.30), P < 0.0001; and -0.65 (-1.05–-0.24), P = 0.002]. Smoothed curve fitting revealed nonlinear correlations of the NHHR with thyroid function and thyroid hormone sensitivity indices. In subgroup analyses, interaction tests, and smoothed curve fitting analyses, different populations presented largely consistent statistical differences.ConclusionAmong American adults, the NHHR was significantly positively correlated with FT3 levels, TSH levels, the FT3/FT4 and the TFQIFT3. Conversely, a negative association was noted between the NHHR and FT4 levels.

Association between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and diabetic kidney disease in patients with diabetes in the United States: a cross-sectional study

BackgroundThis paper investigated the link between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and diabetic kidney disease (DKD) in adult diabetic patients and identified the optimal NHHR value for impacting DKD.MethodsThis cross-sectional research made use of records from the National Health and Nutrition Examination Survey (NHANES) executed between 2005 and 2016. The link of NHHR to DKD risk was analyzed by logistic regression and restricted cubic spline (RCS) models. The stability and reliability of the results were assessed by subgroup analysis and sensitivity analysis.ResultsIn total, 4,177 participants were involved. As a continuous variable, NHHR was markedly connected to an increased risk of DKD (OR 1.07, 95% CI 1.02, 1.12, P < 0.01). When NHHR was grouped in quartiles, relative to the reference set, the highest NHHR group was also linked to a heightened risk of DKD (OR 1.23, 95% CI 1.01, 1.50, P < 0.05). The outcome of RCS show a “J” shaped correlation between NHHR and DKD risk (P for nonlinear = 0.0136). The risk of developing DKD was the lowest when NHHR equals 2.66. Subgroup analysis revealed that the link of NHHR to DKD persisted in participants aged below 40, females, non-smokers, and those without hyperuricemia. Sensitivity analysis demonstrated a certain robustness in this association.ConclusionA meaningful link is present between NHHR and DKD. An NHHR value of around 2.66 could represent the ideal cutoff for assessing DKD risk.

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.