An association of metabolic syndrome and chronic kidney disease from a 10-year prospective cohort study

Chronic kidney disease risk assessment: Findings from backward-looking study using annual health check-up data in Japan

AIMS/INTRODUCTION

While studies on kidney disease (KD) in patients with severe metabolic syndrome (MetS) have been reported, research on undiagnosed MetS individuals is limited. This study aimed to investigate KD mechanisms in early MetS stages among Japanese individuals to establish accurate KD prediction models applicable to specific health guidance using annual health check-up (HC) data.

MATERIALS AND METHODS

Cox regression analysis was conducted using the Kokuho Database including HC and claims data over the past 10 years. Survival time was defined as the period from the initial HC during the observation period until estimated glomerular filtration rate (eGFR) fell below the following cut-offs: 60 mL/min/1.73 m2 chronic kindney disease (CKD) and 15 mL/min/1.73 m2 (ESKD) for primary scenarios, 45 mL/min/1.73 m2 (CKD Stage 3b) and 30 mL/min/1.73 m2 (CKD Stage 4) for additional scenarios. Predictive factors included age, sex and serum creatinine, which are components of eGFR, and MetS factors as follows: body mass index (BMI), glycated haemoglobin A1c (HbA1c), triglycerides (TG) and systolic blood pressure (SBP).

RESULTS

Significant increases in hazard ratios (HRs) for BMI, HbA1c, TG and SBP were observed for primary and additional cut-offs. BMI, HbA1c and TG showed progressively stronger HR increases with advancing stages. The model for all scenarios demonstrated goodness of fit with the high C-statistics.

CONCLUSIONS

This study highlights the necessity of a comprehensive evaluation of MetS factors in CKD risk assessment and shows the model using annual HC data can identify CKD progression effectively and accurately. A risk assessment approach considering multiple CKD stages will be crucial for early intervention and disease prevention strategies.

Association of Obesity, Visceral Fat Accumulation, and Dyslipidemia with the Risk of Chronic Kidney Disease

Objective Although chronic kidney disease (CKD) is independently associated with hypertension or hyperglycemia, there is no consensus on the thresholds of obesity, dyslipidemia, or visceral fat accumulation to predict CKD onset and progression. Methods We performed a multivariable logistic regression analysis for the association of the subsequent rate of estimated glomerular filtration rate (eGFR) decline with body mass index (BMI), blood high-density lipoprotein (HDL) cholesterol and triglycerides (TG) levels on 308,174 subjects who underwent health examinations conducted by the Public Health Research Center Foundation from 2015 to 2022. In addition, a Poisson regression analysis was used to evaluate the association between the appearance of urinary protein in participants without baseline urinary protein levels and eGFR decline. Results The median age of the subjects was 46 years old, and the median observation period was approximately 3 years. An eGFR decline rate of ≥5%/year was significantly associated with low HDL-cholesterol levels (<40 mg/dL), independent of the BMI and TG levels. A high baseline BMI (≥25 kg/m2) or waist circumference (≥85 cm for men and ≥90 cm for women), high TG levels (≥150 mg/dL), and low HDL-cholesterol levels were significantly associated with new-onset proteinuria. Furthermore, the higher the baseline BMI, the higher the incidence rate ratio of new-onset proteinuria. Conclusion Independent of hyperglycemia and hypertension, dyslipidemia according to the Japanese metabolic syndrome criteria and an elevated BMI were associated with a high risk of new-onset proteinuria, and a low HDL-cholesterol level was significantly associated with a rapid eGFR decline.

MetS in the prediction of asymptomatic intracranial arterial stenosis: the potential mediating role of hsCRP

BACKGROUND

We aimed to investigate the relationships between metabolic syndrome (MetS) and its severity score (Metsss) with asymptomatic intracranial arterial stenosis (aICAS) while also assessing the additional effect of high-sensitivity C reactive protein (hsCRP).

METHODS

This cross-sectional study included 2390 individuals who underwent health examinations at our centre from June 2019 to August 2023. Participants received physical examinations, laboratory tests and magnetic resonance angiography evaluations. MetS was defined by the modified acknowledged criteria and quantified by Metsss. Logistic regression, interaction analysis and mediation analysis were employed.

RESULTS

Among the 2390 participants, 135 (5.65%) had aICAS, and 726 (30.40%) had MetS. After adjusting for confounders, MetS was significantly associated with aICAS (OR: 1.68, 95% CI: 1.16 to 2.43, p=0.006). The prevalence of aICAS increased significantly from 3.6% to 8.6% as the number of MetS components increased. Higher quartiles of Metsss also significantly increased aICAS risk (P for trend <0.001). After multivariable adjustment, MetS (p=0.001) and elevated Metsss (p<0.001) were only associated with posterior circulation aICAS (vs anterior). Furthermore, participants with both MetS and elevated hsCRP levels had a greater risk for aICAS (OR: 2.32, 95% CI: 1.36 to 3.96, p=0.002). hsCRP mediated the association between MetS and alCAS in participants ≤65 years old.

CONCLUSIONS

MetS and Metsss were independently associated with the risk of aICAS. The mediating effect of hsCRP on the relationship between MetS and aICAS appears to be age-dependent. These findings offer valuable insights into clinical decision making of aICAS and further improve the primary stroke prevention.

Association of estimated glucose disposal rate with metabolic syndrome prevalence and mortality risks: a population-based study

BACKGROUND

Insulin resistance (IR) is a central pathophysiological factor in metabolic syndrome (MetS) and an essential driver of cardiovascular disease (CVD) and mortality. The estimated glucose disposal rate (eGDR) is a reliable marker of IR and has been associated with CVD prognosis. This study aims to examine the relationship between eGDR, MetS, and their predictive roles in clinical outcomes.

METHODS

Data from the NHANES (2001-2018) were utilized, with a cross-sectional design applied to evaluate the association between eGDR and MetS prevalence, and a cohort design employed for mortality follow-up. Weighted logistic regression models were used to examine the association between eGDR and MetS. Weighted Cox proportional hazard models were applied to assess the link between eGDR and both all-cause and CVD mortality. To examine the non-linear associations between the eGDR, MetS, and mortality outcomes, restricted cubic spline (RCS) analysis was applied. Additionally, the predictive performance of eGDR, and other IR indices (TyG, HOMA-IR), for mortality was assessed using the C-statistic.

RESULTS

A robust negative association between eGDR and MetS prevalence was found, following full covariate adjustment (p < 0.001). The core findings were consistent across subgroups (all p < 0.001). Cox regression analysis indicated that in individuals with MetS, each standard deviation (SD) increment in eGDR was associated with an 11% and 18% decrement in the risk of all-cause and CVD mortality, respectively. RCS analysis displayed a non-linear association between eGDR and MetS prevalence, while a linear association between eGDR and mortality. The C-statistic showed that eGDR, compared to the TyG index and HOMA-IR, significantly improved predictive power for all-cause mortality (p = 0.007).

CONCLUSION

eGDR is strongly associated with MetS and predicts all-cause and CVD mortality in individuals with MetS. Compared to TyG and HOMA-IR, eGDR offers superior predictive value for all-cause mortality, highlighting its potential as a useful tool in clinical risk assessment.

Triglyceride-Glucose Index Associated with Future Renal Function Decline in the General Population

BACKGROUND

The triglyceride-glucose index (TyG index), calculated as the logarithmic product of fasting triglyceride and glucose concentrations, is recognized as a simple marker of insulin resistance. However, the association between the TyG index and future decline of renal function remains unclear in the general population.

OBJECTIVE

To investigate whether the TyG index was associated with future decline of renal function in the general population who had not progressed to chronic kidney disease stage G2.

DESIGN

Retrospective longitudinal observational cohort study.

PARTICIPANTS

Individuals who received a population-based health checkup at JA Ehime Kouseiren Checkup Center from 2010 to 2019 (n = 134,007). Individuals without data of baseline fasting triglyceride or glucose levels, or baseline and follow-up data of estimated glomerular filtration rate (eGFR), or those with baseline eGFR < 60 mL/min/1.73 m2 were excluded.

MAIN MEASURES

Future renal function decline, defined as a ≥ 25% decrease in eGFR from baseline.

KEY RESULTS

Of 10,758 participants, 8,076 were classified into the low TyG index group (TyG index < 8.76, 1st to 3rd quartiles) and 2,682 into the high TyG index group (TyG index ≥ 8.76, 4th quartile). The mean follow-up period was 37.8 ± 23.6 months. The incidence rates of renal function decline were 0.31 and 0.69 per 100 person-years in the low and high TyG index groups, respectively. In multivariate Cox proportional hazard models, high TyG index was significantly associated with future renal function decline (hazard ratio 2.25, 95% CI 1.40-3.60). This association was consistent across subgroups stratified by age, sex, body mass index, baseline eGFR, and diagnosed hypertension, diabetes, or dyslipidemia.

CONCLUSION

In the general population, high TyG index was associated with future renal function decline. The TyG index may be useful in identifying individuals at high risk for future renal function decline in the setting of health checkups.

Associations between metabolic profiles and incident CKD in the Chinese population aged 45-85 years

PURPOSE

The roles of metabolic indices in predicting chronic kidney disease (CKD) were lacking. This study aimed to examine the concomitant impact of metabolic and novel anthropometric indices on incident CKD in the Chinese populations.

METHODS

This prospective cohort study included 1825 males and 2218 females aged between 45 and 85 years, derived from the ongoing prospectively cohort of China Health and Retirement Longitudinal Study (CHARLS), from 2011 to 2015. The outcome was defined as an estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73 m2.

RESULTS

During the 5-years follow-up period, 3.0% (55/1825) of males and 4.1% (90/2218) of the females developed CKD. After multivariable adjustment, elevated triglyceride (TG), low high-density lipoprotein cholesterol (HDL-C), serum uric acid (sUA), elevated visceral fat index (VFI), elevated body shape index (BSI) and elevated body roundness index (BRI) in males, and sUA, and BRI in females were the independent predictors for CKD. Composite scores, composed of sUA, history of cardiovascular disease (CVD), waist circumstance (WC), HDL-C, and BRI in males and sUA, hypertension, and BRI in females were constructed that could accurately predict CKD.

CONCLUSION

Our study found that elevated levels of TG, sUA, BSI, BRI, and diminished HDL in males and elevated levels of sUA, and BRI in females, are indicative of the incident CKD. The composite score, integrating a history of disease, metabolic indices, and noval anthropometric indices, could accurately differentiate individuals with and without incident CKD, proving useful for CKD care and management.

Metabolic syndrome as a risk factor for the development of kidney dysfunction: a meta-analysis of observational cohort studies

Background

Chronic kidney disease (CKD) is a major global health concern with increasing prevalence and associated complications. Metabolic syndrome (MetS) has been linked to CKD, but the evidence remains inconsistent. We conducted a systematic review and meta-analysis to investigate the association between MetS and kidney dysfunction.

Method

We conducted a comprehensive search of databases until December 2022 for cohort studies assessing the association between MetS and incident kidney dysfunction. Meta-analysis was performed using fixed and random effects models. Subgroup analyses were conducted to explore heterogeneity. Publication bias was assessed using Egger's and Begg's tests.

Result

A total of 24 eligible studies, involving 6,573,911 participants, were included in this meta-analysis. MetS was significantly associated with an increased risk of developing CKD (OR, 1.42; 95% CI, 1.28, 1.57), albuminuria or proteinuria (OR, 1.43; 95% CI, 1.10, 1.86), and rapid decline in kidney function (OR, 1.25; 95% CI, 1.07, 1.47). Subgroup analyses showed a stronger association as the number of MetS components increased. However, gender-specific subgroups demonstrated varying associations.

Conclusion

Metabolic syndrome is a significant risk factor for kidney dysfunction, requiring close renal monitoring. Lifestyle changes and targeted interventions may help reduce CKD burden. Further research is needed to understand the connection fully and assess intervention efficacy.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40200-023-01348-5.

Accessing the relationship between six surrogate insulin resistance indexes and the incidence of rapid kidney function decline and the progression to chronic kidney disease among middle-aged and older adults in China: Results from the China health and retirement longitudinal study

AIMS

Insulin resistance is closely related to kidney function decline, but which insulin resistance index could better predict rapid kidney function decline (RKFD) remains unclear. We aimed to evaluate the prospective association between six insulin resistance indexes: Chinese Visceral Adiposity Index (CVAI), Lipid Accumulation Product (LAP), Atherogenic Index of Plasma (AIP), triglyceride-glucose (TyG) index, triglyceride-glucose × Body Mass Index (TyGBMI) and triglyceride-glucose × waist circumference (TyGWC) with RKFD and further the progression to chronic kidney disease (CKD).

METHODS AND MEASUREMENTS

Data were obtained from the China Health and Retirement Longitudinal Study. Participants with normal kidney function (eGFRcr-cys ≥60 ml/min per 1.73 m2) and ≥45 years old were included at the baseline (year 2011). The eGFR was estimated by a combination of serum creatinine and cystatin C. The primary outcome was RKFD, defined as an annualized decline in eGFRcr-cys of 5 ml/min per 1.73 m2 or more. Secondary outcome was progression to CKD under the condition of RKFD, defined as an annualized decline in eGFRcr-cys of 5 ml/min per 1.73 m2 or more combined with eGFRcr-cys <60 ml/min per 1.73 m2 at the exit visit. Logistic analysis was applied for analysis of the association between six insulin resistance indexes and RKFD or progression to CKD. We use receiver operating characteristic curves to study the predictive performance of six insulin resistance indexes. Subgroup analysis were conducted by diabetes or hypertension status of the participants.

RESULTS

A total of 3899 participants with normal kidney function were included in this study. After a 3.99 years follow-up, 191 of them ended up with RKFD. Among them, 66 participants progressed to CKD. Logistic analysis showed that per SD increase of all the six insulin resistance indexes were significantly associated with the incidence of RKFD (all P < 0.01), among which, TyGWC had the best predictive value for RKFD. There were significant association between per SD increase of CVAI, LAP, TyGBMI and TyGWC with progression to CKD (all P < 0.01), and CVAI had better predictive role than other indexes. In subgroup analysis, we found that the association between insulin resistance indexes and progression to CKD was more significant in subjects with hypertension or without diabetes. However, no significant differences were observed in the RKFD group.

CONCLUSIONS

In this study we proved six insulin resistance indexes were predictively associated with RKFD in Chinese with normal renal function over age 45. TyGWC is the best insulin resistance index for predicting RKFD. CVAI is the best index for predicting further progression to CKD.

Metabolic Profiles of Type 2 Diabetes and Their Association With Renal Complications

CONTEXT

The components of metabolic syndrome (MetS) are interrelated and associated with renal complications in patients with type 2 diabetes (T2D).

OBJECTIVE

We aimed to reveal prevalent metabolic profiles in patients with T2D and identify which metabolic profiles were risk markers for renal progression.

METHODS

A total of 3556 participants with T2D from a hospital (derivation cohort) and 931 participants with T2D from a community survey (external validation cohort) were included. The primary outcome was the onset of diabetic kidney disease (DKD), and secondary outcomes included estimated glomerular filtration rate (eGFR) decline, macroalbuminuria, and end-stage renal disease (ESRD). In the derivation cohort, clusters were identified using the 5 components of MetS, and their relationships with the outcomes were assessed. To validate the findings, participants in the validation cohort were assigned to clusters. Multivariate odds ratios (ORs) of the primary outcome were evaluated in both cohorts, adjusted for multiple covariates at baseline.

RESULTS

In the derivation cohort, 6 clusters were identified as metabolic profiles. Compared with cluster 1, cluster 3 (severe hyperglycemia) had increased risks of DKD (hazard ratio [HR] [95% CI]: 1.72 [1.39-2.12]), macroalbuminuria (2.74 [1.84-4.08]), ESRD (4.31 [1.16-15.99]), and eGFR decline [P < .001]; cluster 4 (moderate dyslipidemia) had increased risks of DKD (1.97 [1.53-2.54]) and macroalbuminuria (2.62 [1.61-4.25]). In the validation cohort, clusters 3 and 4 were replicated to have significantly increased risks of DKD (adjusted ORs: 1.24 [1.07-1.44] and 1.39 [1.03-1.87]).

CONCLUSION

We identified 6 prevalent metabolic profiles in patients with T2D. Severe hyperglycemia and moderate dyslipidemia were validated as significant risk markers for DKD.

Circadian syndrome is associated with the development of chronic kidney disease and rapid decline in kidney function in middle-aged and elder adults: a China nationwide cohort study

PURPOSE

The correlation between circadian syndrome (CircS) and kidney outcomes is currently supported by limited empirical evidence. Thus, the objective of this study was to determine the potential relationship between CircS and the development of chronic kidney disease (CKD), as well as the rapid decline in renal function.

MATERIALS AND METHODS

We utilized data from the 2011 China Health and Retirement Longitudinal Study (CHARLS), which involved 6002 Chinese adults ≥40 years of age. Among these participants, 3670 subsequently had follow-up evaluations in the 2015 survey. The primary outcome was the development of CKD, as defined by an estimated glomerular filtration rates decrease to a level <60 ml/min/1.73 m2, while the secondary outcome was rapid decline in renal function, as defined by an estimated glomerular filtration rates decrease of >5 ml/min/1.73 m2 per year. Multivariable logistic regression analysis was utilized to determine the association between CircS and kidney outcomes.

RESULTS

Compared to participants without CircS, those with CircS had a higher risk of CKD in the cross-sectional studies conducted in 2011 (OR, 1.292; 95% CI, 1.053-1.585) and 2015 (OR, 1.860; 95% CI, 1.469-2.355). Participants with CircS in the longitudinal cohort study had a higher risk of progressing to CKD (OR, 3.050; 95% CI, 2.052-4.534) and a rapid decline in renal function (OR, 1.959; 95% CI, 1.433-2.677) after 4 years of follow-up evaluations and adjustment for covariates. Moreover, participants who had CircS with ≥6 CirS components had the highest risk of a rapid decline in renal function (OR, 1.703; 95% CI, 1.054-2.753).

CONCLUSION

CirS significantly increased the risk of CKD progression and rapid decline in renal function among middle-aged and elder individuals. Our study findings highlights the importance of recognizing and managing CirC as a preventative strategy for CKD.

Chronic kidney disease stage is associated with the number of risk factors in type 2 diabetes patients (STages Of NEphropathy in type 2 diabetes and Heart Failure - STONE HF)

AIMS

To study the association between risk factors and chronic kidney disease (CKD), and characterize medication use in Finnish primary care type 2 diabetes (T2D) patients.

METHODS

Data on clinical characteristics, laboratory measurements, and medications were collected from medical records. The primary outcome measure was notable CKD (stage 3-5, eGFR <60 ml/min/1.73 m2) and/or increased albuminuria. The explanatory variables were individual risk factors and risk factor groups based on their number (0-2, 3-4, 5-6, >7). Spearman's rank correlation coefficient and risk ratio analysis were used to analyze the association between the number of risk factors and CKD stage, and between the number of risk factors and notable CKD, respectively.

RESULTS

Altogether, 1335 patients with T2D in 60 Finnish primary care centers were recruited for this cross-sectional study. Three-quarters of T2D patients had 3 risk factors and 36% had ≥ 5 risk factors. Compared to patients with 0-2 risk factors, patients with 3-4, 5-6, and ≥ 7 risk factors had a 5.5-fold, 9.9-fold, and 15.9-fold risk of notable CKD (p < 0.001), respectively. Heart failure was most strongly associated with notable CKD (risk ratio, 3.7; p < 0.001).

CONCLUSIONS

Number of risk factors was strongly associated with advanced-stage CKD.

Prognostic Nutritional Index Combined with Triglyceride-Glucose Index to Contrast a Nomogram for Predicting Contrast-Induced Kidney Injury in Type 2 Diabetes Mellitus Patients with Acute Coronary Syndrome After Percutaneous Coronary Intervention

Objective

Our objective was to develop and validate a nomogram model aiming at predicting the risk of contrast-induced acute kidney injury (CI-AKI) following percutaneous coronary intervention (PCI) in patients suffering from type 2 diabetes mellitus (T2DM) and also diagnosed with acute coronary syndrome (ACS).

Methods

The study gathered data from 722 T2DM patients with ACS who received PCI treatment at the Affiliated Hospital of Xuzhou Medical University between February 2019 and December 2022, serving as the training set. Considering the validation set, the study included 217 patients who received PCI at the East Affiliated Hospital of Xuzhou Medical University. The patients were classified into CI-AKI and non-CI-AKI groups. The study employed univariate and multivariate logistic analysis for identifying independent risk factors for CI-AKI, followed by developing a predictive nomogram model for CI-AKI risk using R software. The predictive performance and clinical utility of the nomogram were assessed through internal and external validation, utilizing the areas under the receiver operating characteristic curve (AUC-ROC), the Hosmer-Lemeshow test and calibration correction curve, and decision curve analysis (DCA).

Results

The nomogram comprised four variables: age, estimated glomerular filtration rate (eGFR), triglyceride-glucose (TyG) index, and prognostic nutritional index (PNI). The AUC-ROC were 0.785 (95% confidence interval (CI) 0.729-0.841) and 0.802 (95% CI 0.699-0.905) for the training and validation cohorts, respectively, indicating a high discriminative ability of the nomogram. The calibration assessment and decision curve analysis have substantiated the strong concordance and clinical usefulness of the aforementioned.

Conclusion

The nomogram exhibits favorable discrimination and accuracy, enabling it to visually and individually identify pre-procedure high-risk patients, and possesses a predictive capacity regarding CI-AKI incidence after PCI in patients diagnosed with both T2DM and ACS.

Antioxidant and anti-inflammatory effects of allicin in the kidney of an experimental model of metabolic syndrome

Background

Recent studies have suggested that metabolic syndrome (MS) encompasses a group of risk factors for developing chronic kidney disease (CKD). This work aimed to evaluate the antioxidant and anti-inflammatory effects of allicin in the kidney from an experimental model of MS.

Methods

Male Wistar rats (220-250 g) were used, and three experimental groups (n = 6) were formed: control (C), metabolic syndrome (MS), and MS treated with allicin (16 mg/Kg/day, gastric gavage) (MS+A). MS was considered when an increase of 20% in at least three parameters (body weight, systolic blood pressure (SBP), fasting blood glucose (FBG), or dyslipidemia) was observed compared to the C group. After the MS diagnosis, allicin was administered for 30 days.

Results

Before the treatment with allicin, the MS group showed more significant body weight gain, increased SBP, and FBG, glucose intolerance, and dyslipidemia. In addition, increased markers of kidney damage in urine and blood. Moreover, the MS increased oxidative stress and inflammation in the kidney compared to group C. The allicin treatment prevented further weight gain, reduced SBP, FBG, glucose intolerance, and dyslipidemia. Also, markers of kidney damage in urine and blood were decreased. Further, the oxidative stress and inflammation were decreased in the renal cortex of the MS+A compared to the MS group.

Conclusion

Allicin exerts its beneficial effects on the metabolic syndrome by considerably reducing systemic and renal inflammation as well as the oxidative stress. These effects were mediated through the Nrf2 pathway. The results suggest allicin may be a therapeutic alternative for treating kidney injury induced by the metabolic syndrome risk factors.

Glucose Metabolism Indices and the Development of Chronic Kidney Disease: A Cohort Study of Middle-Aged and Elderly Chinese Persons

Objective

Chronic kidney disease (CKD) has become a major global health issue, and abnormalities of glucose metabolism are a risk factor responsible for development of CKD. We aimed to investigate associations between glucose metabolism indices and CKD in a Chinese population and determine which index is superior for predicting incident CKD.

Methods

We performed a community-based population on 5232 subjects aged ≥40 years without baseline CKD. CKD was defined as an estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73 m2 or urinary albumin-to-creatinine ratio (UACR) ≥30 mg/g. We examined the associations of glucose metabolism indices, including fasting plasma glucose (FPG), 2-hour (2 h) oral glucose tolerance test (OGTT), hemoglobin A1c (HbA1c), fasting insulin level, homeostasis model assessment of insulin resistance (HOMA-IR), and HOMA-β and the development of CKD.

Results

With an average follow-up of 3.6 years, 6.4% of the subjects developed CKD. Pearson's correlation analysis revealed that FPG, HbA1c, fasting insulin, and HOMA-IR were all significantly correlated with UACR and eGFR. The association persisted in multivariate linear regression analysis adjusted for age and sex. Compared with other glucose indices, HOMA-IR exhibited the strongest associations with CKD in COX multivariate regression analysis (HR = 1.17, 95% CI: 1.04-1.31).

Conclusion

HOMA-IR is superior to other routine indices of glucose metabolism for predicting the development of CKD in middle-aged Chinese persons. Screening with HOMA-IR may help prevent the development of CKD in the general population.

Associations of perchlorate, nitrate, and thiocyanate with metabolic syndrome and its components among US adults: A cross-sectional study from NHANES

Perchlorate, nitrate and thiocyanate are common endocrine disruptors. Herein, this study was undertaken to evaluate the associations between perchlorate, nitrate, and thiocyanate exposures (alone or in combination) and risk of metabolic syndrome (MetS) among adults, which has not been explored so far. Analytical data were extracted from different datasets in the National Health and Nutrition Examination Survey (NHANES) database. Multivariate logistic regression models were constructed to investigate the associations between perchlorate, nitrate, and thiocyanate exposures, and the prevalence of MetS. Subsequently, odds ratios (OR) and their corresponding 95 % confidence intervals (CIs) were adopted to represent the magnitude of the effect size. We performed a series of subgroup analyses and sensitivity analyses as well. Moreover, three commonly used mixture modeling strategies [Weighted quantile sum (WQS) regression, quantile-based g-computation (Qgcomp), and Bayesian kernel machine regression (BKMR)] were utilized to evaluate the joint mixture effect on MetS. This study included 12,007 participants in the subsequent analyses. After adjustment for confounding factors, higher levels of perchlorate, and thiocyanate concentrations were significantly associated with the risk of MetS (OR = 1.15, 95%CI:1.00, 1.32; OR = 1.21, 95%CI:1.04, 1.41, respectively). Analyses of WQS and Qgcomp showed that a quartile increase in chemical mixture was correlated with the occurrence of MetS with ORs of 1.07 (95%CI: 0.99, 1.16) and 1.07 (95%CI: 1.00, 1.14), respectively. This positive association was mainly driven by perchlorate and thiocyanate. Analysis of BKMR revealed that perchlorate, nitrate, and thiocyanate mixture was positively associated with the risk of MetS while perchlorate, and thiocyanate were major predictors in the mixture. In summary, our study reveals positive relationships between perchlorate, thiocyanate and MetS. Co-exposure to perchlorate, nitrate and thiocyanate is positively associated with the risk of MetS, with perchlorate and thiocyanate contributing the most to the overall mixture effect.

The impact of metabolic syndrome on chronic kidney disease development. Insights from a big prospective study

BACKGROUND

Chronic kidney disease (CKD) can progress over time and cause renal replacement therapy. Studies showed the association between metabolic syndrome (MetS) and CKD. Current evidence is from cross-sectional studies. There is a need for the robust data from big prospective cohort studies with long-term follow-up. This study investigated the association between CKD and MetS after 18 years of follow-up.

MATERIAL AND METHOD

Among 15,255 participants aged ≥20 years at baseline (1999-2005), after exclusion of CKD, cancer, and use of corticosteroids, 8987 participants entered the study and followed at a three-year cycle up to 2018. All participants were divided into five subgroups: (1) MetS-free, (2) MetS (DM+, HTN-), (3) MetS+ (DM-, HTN+), (4) MetS+ (DM+, HTN+) and (5) MetS+ (DM-, HTN-).

RESULT

At baseline, the mean age of the participants was 39.8 ± 13.3 years; 4996 (55.6%) were females. CKD was developed in 2038 (22.7%) subjects during 18 years of follow-up, of whom 1107 had MetS. After adjusting for the confounding variables, MetS (DM+, HTN+) subgroup had the highest risk of CKD (HR = 1.51, 95% CI = 1.32-1.71). MetS subjects with five components had a higher incidence rate of CKD (HR = 1.43, 95% CI = 1.22-1.68). There was no association between high waist circumference (WC) (HR = 1.08, 95% CI = 0.99-1.19) and high-density lipoprotein (HDL) (HR = 1.07, 95% CI = 0.98-1.18) with CKD.

CONCLUSION

CKD significantly develops in patients with MetS. Metabolic syndrome was associated with the development of chronic kidney disease incidence. Hypertension, diabetes, and age were strong indicators, while abdominal obesity and reduced HDL were not associated with the incidence of CKD.

The Effect of Metabolic Syndrome and Its Individual Components on Renal Function: A Meta-Analysis

BACKGROUND

Observational studies have reported inconsistent findings in the relationship between metabolic syndrome (MetS), its components, and loss of renal function, mainly including eGFR decline, new-onset CKD, and ESRD. This meta-analysis was performed to investigate their potential associations.

METHODS

PubMed and EMBASE were systematically searched from their inception to 21 July 2022. Observational cohort studies in English assessing the risk of renal dysfunction in individuals with MetS were identified. Risk estimates and their 95% confidence intervals (CIs) were extracted and pooled using the random-effects approach.

RESULTS

A total of 32 studies with 413,621 participants were included in the meta-analysis. MetS contributed to higher risks of renal dysfunction (RR = 1.50, 95% CI = 1.39-1.61) and, specifically, rapid decline in eGFR (RR 1.31, 95% CI 1.13-1.51), new-onset CKD (RR 1.47, 95% CI 1.37-1.58), as well as ESRD (RR 1.55, 95% CI 1.08-2.22). Moreover, all individual components of MetS were significantly associated with renal dysfunction, while elevated BP conveyed the highest risk (RR = 1.37, 95% CI = 1.29-1.46), impaired fasting glucose with the lowest and diabetic-dependent risk (RR = 1.20, 95% CI = 1.09-1.33).

CONCLUSIONS

Individuals with MetS and its components are at higher risk of renal dysfunction.

The association of apolipoprotein B with chronic kidney disease in the Chinese population

Background

Whether serum apolipoprotein B (ApoB) is a risk factor for the development of Chronic kidney disease (CKD) has not been fully established in the general population. Therefore, our study evaluated the correlation between serum ApoB level and CKD to look for an alternative approach for CKD prevention and treatment in the general population.

Methods

There were 146,533 participants in this cross-sectional study. 3,325 participants with more than 2 measurements were enrolled in the retrospective longitudinal study with at least a 3-year follow-up. ApoB was measured by the immunoturbidimetric method in 6 centers. Our study defined CKD as an estimated glomerular filtration rate (eGFR) < 90 mL/min/1.73 m². The Spearman rank correlation analysis and the Random Forest algorithm were applied to rank the importance of variables determining the levels of eGFR. We used the logistic regression model to explain the correlation between serum ApoB and CKD. We used the Cox model to detect the correlation between baseline serum ApoB and the subsequent occurrence of CKD.

Results

Based on a cross-sectional study, 66.5% of the participants were males, with a median age of 49 (interquartile range [IQR] 43-55). Compared to the non-CKD group, the CKD group has higher levels of lipid profile and fasting glucose as well as the proportion of hypertension and hyperuricemia. The Spearman rank correlation analysis and the Random Forest algorithm revealed that ApoB has the highest correlation with eGFR decline among lipid profiles. The logistic regression analysis revealed that ApoB had a positive correlation with the prevalence of CKD after fully controlling confounders (odds ratio [OR], 1.07; 95% confidence interval [CI]: 1.02-1.11). Moreover, baseline ApoB level was correlated with a new-onset CKD in the longitudinal cohort after full adjustment for confounding factors (hazard ratio [HR], 1.61; 95% CI: 1.02-2.54). The correlation between ApoB level and the new-onset CKD was consistently observed in all sensitivity analyses.

Conclusion

Serum ApoB had the strongest correlation with CKD among all lipid variables. Moreover, high serum ApoB levels might precede the occurrence of CKD, suggesting that monitoring and reducing serum ApoB levels may provide an alternative method to prevent and treat CKD.

Sex-specific trajectories of insulin resistance markers and reduced renal function during 18 years of follow-up; TLGS

OBJECTIVE

To investigate the association between the dynamic course of insulin resistance and chronic kidney disease (CKD).

METHODS

In a longitudinal population-based Tehran Lipid and Glucose Study, 3071 eligible participants aged ≥20 years were followed for 18 years at three-year intervals. HOMA-IR and clinical surrogate markers of insulin resistance, including triglyceride-glucose index (TyG), visceral adiposity index (VAI), and lipid accumulation product (LAP), were calculated. Using latent variable mixture modeling, sex-specific trajectories were plotted for each insulin resistance marker. Trajectory group association of the insulin resistance markers with CKD was determined using the multivariate cox proportional hazards regression model.

RESULTS

For HOMA-IR, two distinct trajectory patterns (stable and increasing), and for TyG, VAI, and LAP, three trajectories (low, moderate, high) were identified. The participants with increasing HOMA-IR trajectory had a significantly increased risk of CKD in men (HR: 1.72, 95%CI: 1.06-2.79) and women (HR: 1.37, 95%CI: 1.00-1.89) after adjusting confounding variables. The high TyG and VAI trajectory classes were associated with a higher risk of CKD than the low TyG and VAI trajectory classes in both men (TyG: HR:1.97, 95%CI: 1.12-3.46; VAI: HR:1.66, 95%CI:1.06-2.62) and women (TyG: HR:1.50, 95%CI:1.06-2.12; VAI: HR:1.66, 95%CI:1.20-2.31). In contrast, the High LAP (HR: 3.38, 95%CI: 2.08-5.48) trajectory was associated with incident CKD only in women.

CONCLUSION

An increasing trend of HOMA-IR is associated with a higher risk of CKD in men and women. Among clinical insulin resistance surrogate markers, abnormal trajectory patterns of LAP in women and TyG and VAI in both sexes are associated with a higher risk of CKD.

Association between recovery/occurrence of metabolic syndrome and rapid estimated glomerular filtration rate decline in middle-aged and older populations: evidence from the China Health and Retirement Longitudinal Study

OBJECTIVES

Few studies have explored correlations between metabolic syndrome (MetS) alterations and renal deterioration in longitudinal cohorts. We aim to investigate associations between MetS recovery/development and rapid estimated glomerular filtration rate (eGFR) decline in the China Health and Retirement Longitudinal Study (CHARLS).

DESIGN

Longitudinal cohort study.

SETTING

This study is a secondary analysis of CHARLS.

PARTICIPANTS

After excluding individuals with age <45 years old, eGFR <60 mL/min/1.73 m² and clinician-reported malignant tumour, heart disease, stroke or kidney disease at baseline, 4142 participants with complete data were selected from the CHARLS during the 4-year follow-up period (2011-2015).

OUTCOME MEASURES

MetS were measured at 2011 and 2015 in CHARLS. A rapid eGFR decline was defined as an average annual eGFR decline of >3 mL/min/1.73 m². The associations between rapid eGFR decline and MetS recovery/development were analysed using multivariable adjusted logistic models.

RESULTS

According to MetS baseline status and follow-up, participants were divided into four groups: (1) 2460 (59.4%) in the MetS-free group, (2) 361 (8.7%) in the MetS-developed group, (3) 499 (12.0%) in the MetS recovery group and (4) 822 (19.8%) in the MetS chronic group. When compared with the MetS chronic group, the multivariable adjusted OR of rapid eGFR decline in the MetS recovery group was 0.64 (OR: 0.64; 95% CI 0.45 to 0.90, p=0.01). In contrast, when compared with the MetS-free group, the multivariable adjusted OR of rapid eGFR decline in the MetS-developed group was 1.00 (OR: 1.00; 95% CI 0.73 to 1.38, p=0.98).

CONCLUSIONS

Over the 4-year follow-up period, we found that MetS recovery was associated with a reduced risk of rapid eGFR decline in middle-aged and older adults, while MetS occurrence was not related to rapid eGFR decline. Recovery from MetS appeared to protect against a rapid decline in eGFR.

Predictive Value of HbA1c and Metabolic Syndrome for Renal Outcome in Non-Diabetic CKD Stage 1-4 Patients

Glycated hemoglobin (HbA1c) levels are commonly used to indicate long-term glycemic control. An HbA1c level of 6.5−5.7% is defined as pre-diabetes and is proposed as a criterion for diagnosing metabolic syndrome (MetS). However, HbA1c levels can be affected by chronic kidney disease (CKD). Whether HbA1c is associated with clinical outcomes in nondiabetic CKD patients with or without MetS is still unknown. This study included 1270 nondiabetic CKD stage 1−4 Asian patients, divided by HbA1c and MetS. Through linear regression, HbA1c was positively associated with age, waist circumference, hemoglobin levels, and C-reactive protein and was negatively associated with malnutrition−inflammation. HbA1c levels were 5.5% (0.6%) and 5.7% (0.6%) in non-MetS and MetS, respectively (p < 0.001). In Cox regression, higher-level HbA1c was associated with worse composite renal outcome in MetS patients, but with better renal outcome in non-MetS patients: Hazard ratio (HR) (95% confidence interval [CI]) of HbA1c ≥5.7%, compared with HbA1c <5%, was 2.00 (1.06−3.78) in MetS and 0.25 (0.14−0.45) in non-MetS. An association between HbA1c and all-cause mortality was not found. In conclusion, higher HbA1c levels are associated with worse renal outcomes in nondiabetic CKD stage 1−4 patients modified by the presence of MetS.

Metabolic Syndrome and Obesity-Related Indices Are Associated with Rapid Renal Function Decline in a Large Taiwanese Population Follow-Up Study

A rapid decline in renal function can cause many complications, and therefore it is important to detect associated risk factors. Few studies have evaluated the associations among obesity-related indices and metabolic syndrome (MetS) with renal function decline. This longitudinal study aimed to explore these relationships in a large cohort of Taiwanese participants. The studied obesity-related indices were waist-to-height ratio (WHtR), A body shape index (ABSI), visceral adiposity index (VAI), lipid accumulation product (LAP), waist-to-hip ratio (WHR), body roundness index (BRI), conicity index (CI), body mass index (BMI), body adiposity index (BAI) and abdominal volume index (AVI). We included 122,068 participants in the baseline study, of whom 27,033 were followed for a median of four years. The baseline prevalence of MetS was 17.7%. Multivariable analysis showed that the participants with MetS and high VAI, WHtR, WHR, LAP, CI, BRI, BMI, BAI, AVI, and ABSI values were significantly associated with a high baseline estimated glomerular filtration rate (eGFR) (all p < 0.001). In addition, the participants with MetS (p < 0.001), high WHtR (p = 0.007), low LAP (p < 0.001), high BRI (p = 0.002), high CI (p = 0.002), high AVI (p = 0.001), high VAI (p = 0.017), and high ABSI (p = 0.013) were significantly associated with a low △eGFR, indicating a rapid decline in renal function. These results showed associations between MetS and high values of obesity-related indices except LAP with high baseline eGFR and rapid decline in kidney function. These findings suggest that screening for MetS and obesity may help to slow the decline in renal function in high-risk populations.

Bisdemethoxycurcumin Attenuated Renal Injury via Activation of Keap1/Nrf2 Pathway in High-Fat Diet-Fed Mice

Bisdemethoxycurcumin (BDMC), a principal and active component of edible turmeric, was previously found to have beneficial effects on metabolic diseases. Chronic kidney disease (CKD) may benefit from its potential therapeutic use. Using a high-fat diet (HFD)-fed mouse model, we examined the effects of BDMC on renal injury and tried to determine how its associated mechanism works. A number of metabolic disorders are significantly improved by BDMC, including obesity, hyperglycemia, hyperinsulinemia, hyperlipidemia and inflammation. Further research on renal histopathology and function showed that BDMC could repair renal pathological changes and enhance renal function. Moreover, decreased serum malondialdehyde (MDA), elevated superoxide dismutase (SOD) activity, and the inhibition of renal reactive oxygen species (ROS) overproduction revealed the alleviation of oxidative stress after BDMC administration. In addition, renal Kelch-like ECH-associated protein 1/nuclear factor erythroid 2-related factor 2 (Keap1/Nrf2) pathway was activated in BDMC-treated mice. In conclusion, these findings demonstrated BDMC as a potential therapy for HFD-induced CKD via the activation of the Keap1/Nrf2 pathway.

Effect of vitamin D levels on the hormonal and metabolic status in patients with metabolic syndrome and chronic kidney disease

Aim. To assess the association of vitamin D deficiency with hormonal and metabolic disorders, including with insulin resistance and leptin levels, in patients with metabolic syndrome (MS) and chronic kidney disease (CKD).

Material and methods. The study included 81 patients with MS and CKD aged 45-59 years (mean age, 51±4 years). Depending on vitamin D level, the patients were divided into two groups: group 1 (n=49) — patients with reduced level (23,2±5,1 ng/ml); group 2 (n=32) — patients with an adequate level (54,8±12,1 ng/ml). Statistical processing was carried out using STATISTICA 10.0 software.

Results. In patients of the first group, the following parameters were higher than in the second one: waist circumference by 9,0% (p<0,05), waist-to-hip ratio by 8,2% (p<0,05), body mass index by 15,1% (p<0,05). The groups did not differ significantly in systolic and diastolic blood pressure levels. In the first group, the level of total cholesterol by 18,6% (p<0,01), low density lipoprotein cholesterol by 11,9% (p<0,05), triglycerides by 20,8% (p<0,01), Homeostasis Model Assessment Insulin Resistance (HOMA-IR) by 42,5% (p<0,001), leptin by 30,5% (p<0,01) were higher than in the second group. More severe left ventricular diastolic dysfunction in the first group than in the second one was determined as follows: lower left ventricular early to late filling (E/A) by 13,2% (p<0,05) and deceleration time of the early transmitral flow velocity by 13,1% (p<0,05).

Conclusion. The results obtained indicate that patients with MS, CKD and vitamin D deficiency are more likely to have general obesity, more pronounced carbohydrate (HOMA-IR index) and fat (levels of total cholesterol, low-density lipoprotein cholesterol, triglycerides) metabolism disorders, as well as high serum levels of leptin compared with patients with adequate levels of this vitamin.

Association of Longitudinal Trajectories of Insulin Resistance With Adverse Renal Outcomes

OBJECTIVE

To analyze the relationship between time-serial changes in insulin resistance and renal outcomes.

RESEARCH DESIGN AND METHODS

A prospective cohort of subjects from the general population without chronic kidney disease (CKD) underwent a biennial checkup for 12 years (n = 5,347). The 12-year duration was divided into a 6-year exposure period, where distinct HOMA for insulin resistance (HOMA-IR) trajectories were identified using latent variable mixture modeling, followed by a 6-year event accrual period, from which the renal outcome data were analyzed. The primary end point was adverse renal outcomes, defined as a composite of estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m2 in two or more consecutive checkups or albumin ≥1+ on urine strip.

RESULTS

Two distinct groups of HOMA-IR trajectories were identified during the exposure period: stable (n = 4,770) and increasing (n = 577). During the event accrual period, 449 patients (8.4%) developed adverse renal outcomes, and the risk was higher in the increasing HOMA-IR trajectory group than in the stable group (hazard ratio 2.06, 95% CI 1.62-2.60, P < 0.001). The results were similar after adjustment for baseline clinical characteristics, comorbidities, anthropometric and laboratory findings, eGFR, and HOMA-IR. The clinical significance of increasing HOMA-IR trajectory was similar in three or four HOMA-IR trajectories. The increasing tendency of HOMA-IR was persistently associated with a higher incidence of adverse renal outcomes, irrespective of the prevalence of diabetes.

CONCLUSIONS

An increasing tendency of insulin resistance was associated with a higher risk of adverse renal outcomes. Time-serial tracking of insulin resistance may help identify patients at high risk for CKD.

Association between changes in lipid indexes and early progression of kidney dysfunction in participants with normal estimated glomerular filtration rate: a prospective cohort study

PURPOSE

To investigate whether non-high-density lipoprotein cholesterol (Non-HDL-C), remnant cholesterol (RC), and the ratios of lipid indexes are more closely associated with early progression of kidney dysfunction than traditional lipid indexes; and to explore the association between changes in serum lipids during follow-up and annual decline rate in estimated glomerular filtration rate (eGFR).

METHODS

In this prospective cohort study, 3909 participants with normal eGFR and age≥40 years at baseline were followed for 3.3 years. Progression of kidney dysfunction was assessed as annual decline rate in eGFR. Spearman correlation analysis, linear correlation models, and multiple logistic regression were used to assess the associations between lipid indexes at baseline/both baseline and follow-up and the annual decline rate in eGFR.

RESULTS

Compared with ΔLDL-C (β = 0.412), other lipid indexes such as ΔLDL-C/HDL-C (β = 0.565), ΔTC/HDL-C (β = 0.448), and ΔNon-HDL-C/HDL-C (β = 0.448) were more closely associated with annual decline rate in eGFR. High TG/HDL-C (OR = 1.699(1.177-2.454)) and TC/HDL-C (OR = 1.567(1.095-2.243)) at baseline, as well as high TC/HDL-C (OR = 1.478 (1.003-2.177)) and TG/HDL-C (OR = 1.53(1.044-2.244)) at both baseline and follow-up were associated with the annual decline rate in eGFR <0.5. High Non-HDL-C (OR = 1.633(1.025-2.602)) and LCI (OR = 1.631(1.010-2.416)) at both baseline and follow-up resulted in a 63% increase in risk of annual decline rate in eGFR >1.

CONCLUSION

High Non-HDL-C, RC and the ratios of lipid indexes were more closely associated with early progression of kidney injury than the increase of traditional lipid indexes. These lipid indexes should be monitored, even in participants with normal traditional serum lipid levels.

Cardiometabolic traits mediate the association of past shift work and chronic kidney disease: the Dongfeng-Tongji cohort study

OBJECTIVE

Present shift work has been associated with chronic disease. But influence of past shift work has not been established. This study is designed to investigate whether shift work in the past is associated with chronic kidney disease (CKD) in retired workers, and whether cardiometabolic traits affect the relationship.

METHODS

Overall, 15,775 retired workers (aged 62.3 ± 7.2 years) without CKD at baseline in the Dongfeng-Tongji cohort were included. Duration of past shift work was obtained through questionnaires, and divided into < 10.0, 10.0-20.0, and ≥ 20.0 years. CKD was diagnosed if individual's estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73 m². Logistic regression model was used to estimate the association between past shift work and CKD. Mediation analysis was conducted to analyze the mediating effects of cardiometabolic traits.

RESULTS

During the median follow-up of 4.7 years, 1072 (6.8%) incident CKD cases were recorded. Retired workers with past shift work had elevated CKD risk [ORs and 95% CIs for those with < 10.0, 10.0-20.0, and ≥ 20.0 years of past shift work were 1.61 (1.30, 2.00), 0.90 (0.72, 1.12), and 1.33 (1.11, 1.61)]. The associations were more evident among participants with poor or terrible sleep quality (P for interaction, 0.022). Mediation analysis showed that cardiometabolic traits including diastolic blood pressure and high density lipoprotein cholesterol mediated 7.02% and 10.05% of the relationship from past shift work to higher CKD risk.

CONCLUSIONS

Past shift work was related with increased risk of incident CKD among retired workers, and this relationship was partly mediated by cardiometabolic traits.

Association of Serum Adipokines and Resting Energy Expenditure in Patients With Chronic Kidney Disease

Background and Aim

Metabolic disorders are prevalent in patients with chronic kidney disease (CKD) and may lead to protein energy wasting (PEW). Adipokines improve connections between PEW and energy metabolism. We aimed to determine the relationship between adipokine levels and resting energy expenditure (REE) in patients with CKD.

Methods

A total of 208 patients in non-dialyzed CKD stages 3–5 were enrolled in this cross-sectional study. Serum adipokines (leptin, adiponectin, and interleukin 6 (IL-6) were measured using enzyme-linked immunosorbent assay. Patient's REE was measured using indirect calorimetry. Fat mass (FM) and lean tissue mass (LTM) were measured using multiple-frequency bioimpedance analysis. Spearman correlation analyses and multivariate linear regression models were used to assess the association between serum adipokines and REE.

Results

The mean age was 52.7 ± 14.6 years, and 26.9, 26.4, and 46.7% of our participants had CKD stages 3, 4, and 5, respectively. The median values of serum adiponectin, leptin, and IL-6 were 470.4 (range, 291.1–802.2), 238.1 (range, 187.9–418.4), and 4.0 (range, 2.4–9.5) pg/mL, respectively. The male participants had significantly lower FM% (P = 0.001) and lower leptin levels (P < 0.001) than the female participants. After adjusting for age, diabetes, high-sensitivity C-reactive protein, intact parathyroid hormone, LTM, and FM, multiple linear regression analysis revealed that serum leptin levels were significantly positively associated with REE in men rather than in women (P < 0.05). Serum adiponectin levels were inversely associated with REE in men, but this association disappeared while FM was additionally adjusted. Adiponectin levels in women were not correlated with REE (P > 0.05). IL-6 was not significantly associated with REE in either men or women.

Conclusions

A sex-specific relationship between serum adipokines (leptin and adiponectin) and REE was observed in patients with CKD stages 3–5, which was partly confounded by FM.

Positive correlation of serum angiopoietin-like protein 3 levels with metabolic syndrome in patients with coronary artery disease

Objectives:

Angiopoietin-like protein 3 (ANGPTL3) regulates triglyceride metabolism by reversibly inhibiting the lipoprotein lipase activity. Metabolic syndrome (MetS) is an independent risk factor for further cardiovascular disease. This study evaluated the relationship between the fasting serum ANGPTL3 levels and MetS in patients with coronary artery disease (CAD).

Materials and Methods:

Fasting blood samples were obtained from 90 patients with CAD. Serum ANGPTL3 levels were measured using a commercial enzyme-linked immunosorbent assay kit. MetS and its components were defined using the diagnostic criteria of the International Diabetes Federation.

Results:

Fifty-three patients (58.9%) had MetS. The hypertension (P = 0.001), diabetes (P < 0.001), body weight (P = 0.027), body mass index (P = 0.001), waist circumference (P < 0.001), systolic blood pressure (P = 0.001), fasting glucose (P < 0.001), triglycerides (P < 0.001), blood urea nitrogen (P = 0.044), C-reactive protein (P = 0.010), insulin (P = 0.040), homeostasis model assessment of insulin resistance (P = 0.002), and ANGPTL3 level (P = 0.001) of CAD patients who had MetS were higher, and the high-density lipoprotein cholesterol (P = 0.001) and estimated glomerular filtration rate (P = 0.016) were lower. A binary logistic regression analysis of the significant variables also revealed that the ANGPTL3 level (odds ratio: 1.023, 95% confidence interval: 1.008–1.038, P = 0.002) was an independent predictor of MetS in patients with CAD.

Conclusion:

The results of our study indicated that the fasting ANGPTL3 level was positively associated with MetS among patients with CAD.

Metabolic syndrome severity score and the progression of CKD

BACKGROUND

Metabolic syndrome severity, expressed by the continuous metabolic syndrome risk score (MetS score), has been demonstrated to be able to predict future health conditions. However, little is known about the association between MetS score and renal function.

METHODS

A total of 22,719 participants with normal renal function abstracted from the Kailuan Study were followed from 2006 to 2016. The new onset of chronic kidney disease (CKD) was defined as eGFR <60 ml/min per 1.73 m² and/or proteinuria >300 mg/dl. Progressive decline in renal function was defined as an annual change rate of eGFR below the 10th percentile of the whole population.

RESULTS

In the multivariate-adjusted model, we found that the risk of progressive decline in renal function increased consistently with the MetS score, with an odds ratio of 1.49 (95% CI, 1.28, 1.73) for those subjects>75th percentile compared with those <25th percentile. Additionally, a high MetS score was found to be associated with an increased risk of CKD, with a hazard ratio of 1.53 (95% CI, 1.33, 1.78) for subjects >75th percentile compared with those <25th percentile.

CONCLUSIONS

Our findings suggested that the MetS score was associated with an increased risk of a progressive decline in renal function and was also a strong and independent risk factor for the development of CKD. These findings provide evidence of the potential clinical utility of the MetS score for assessing metabolic syndrome severity to detect the risk of decreased renal function and CKD.

Association between the metabolic score for insulin resistance (METS-IR) and estimated glomerular filtration rate (eGFR) among health check-up population in Japan: A retrospective cross-sectional study

AIM

This study aimed to investigate the relationship between a new metric-metabolic score for insulin resistance (METS-IR)-and estimated glomerular filtration rate (eGFR) among Japanese participants who underwent health check-ups.

METHODS

We conducted a cross-sectional study that involved participants in a medical health screening program, which was conducted at the Medical Health Check-up Center in Japan. This retrospective study examined the relationship between METS-IR and eGFR among 881 individuals that joined the program between March 1, 2004, and December 31, 2012. Covariates consisted of serum laboratory tests and lifestyle questionnaires. Multivariate linear regression analysis was used to explore the association between METS-IR and eGFR. In addition, subgroup and interaction analyses were done based on age, sex, body mass index (BMI), alcohol use, smoking status, and hyperuricemia.

RESULTS

A total of 881 individuals participated in this study. High METS-IR was highly linked with reduced eGFR (adjusted β = -5.04, 95% confidence interval (CI): -7.65 to -2.43), while METS-IR was utilized as a categorical variable inside the multiple regression analysis. A decrease in eGFR of 2.54 units was reported for every 10-unit rise in METS-IR (adjusted β = -2.54, 95% CI: -4.04 to -1.05, P-value = 0.001). Stratified analysis suggested no marked interaction between METS-IR and eGFR across age, sex, BMI, and alcohol consumption groups. However, there was an indication of interaction between METS-IR level, smoking status (P-value = 0.001), and uric level (P-value = 0.011) on eGFR decrease.

CONCLUSIONS

METS-IR is remarkably associated with eGFR among the participants who underwent health check-ups in Gifu, Japan. Although more studies are required to prove it, METS-IR could be applied as a monitoring index for early screening, primary prevention, and diagnostic and treatment management strategies for chronic kidney disease.

Analysis of Chronic Kidney Disease After Radiation Therapy for Gastric/Duodenal Mucosa-Associated Lymphoid Tissue Lymphoma

Purpose

This study aimed to evaluate the relationship between chronic kidney disease (CKD) after radiation therapy for gastric/duodenal mucosa-associated lymphoid tissue lymphoma and dose-volume histogram of the kidneys.

Methods and Materials

We retrospectively reviewed 40 patients who received 3-dimensional conformal radiation therapy. CKD was evaluated using the Common Terminology Criteria for Adverse Events version 5.0. The mean dose of bilateral kidneys/right kidney/left kidney (D_{mean of b-kidneys}) (D_{mean of r-kidney}) (D_{mean of l-kidney}), bilateral kidneys/right kidney/left kidney volume receiving ≥ x Gy (V_{x of b-kidneys}) (V_{x of r-kidney}) (V_{x of l-kidney}), and patients’ baseline clinical characteristics were analyzed.

Results

The median radiation therapy dose was 28 (range, 24-44.8) Gy in 14 fractions. The median follow-up period was 63.1 months, and the 5-year cumulative incidence of grade 2 CKD rate was 14.8%. Among several factors, V_{5 of b-kidneys} was most strongly associated with grade 2 or worse CKD, with an area under the curve of 0.81 in the receiver operating characteristic curve. The 5-year incidence rate in patients with V_{5 of b-kidneys} ≥ 58% was significantly higher than that in other patients (24.5% and 9.8%, respectively; P < .05).

Conclusions

In this study using 3-dimensional conformal radiation therapy, the rate of adverse events at 5 years was low, many patients showed toxicity after 5 years; thus, continuous follow-up is necessary to detect potential nephrotoxicity. Our data demonstrate that V_{5 of b-kidneys} was most strongly associated with the risk of CKD. With lower doses and more advanced techniques in recent years, the incidence of CKD may be further reduced.

Usefulness of metabolic score for insulin resistance index in estimating the risk of mildly reduced estimate glomerular filtration rate: a cross-sectional study of rural population in China

OBJECTIVES

This study aimed to reveal the association between metabolic score for insulin resistance (MetS-IR) and the risk of mildly decreased estimated glomerular filtration rate (eGFR), and explore the evaluation effect of MetS-IR on the progress of eGFR decline.

STUDY DESIGN

A cross-sectional study.

SETTING AND PARTICIPANTS

A total of 11 956 rural participants (aged ≥35 years) from northeastern China were enrolled in the study. After excluding the subjects whose data were not integrated or who met the exclusion criteria, we finally obtained 11 042 participants in the present study.

MAIN OUTCOME MEASURES

Mildly decreased eGFR was defined as 60-90 mL/min/1.73 m².

RESULTS

The prevalence of mildly decreased eGFR in the general population was 36.9%. After adjustment of covariates, each SD increment of MetS-IR could bring 26.3% additional risk of mildly decreased eGFR (OR: 1.263, 95% CI: 1.066 to 1.497, p=0.007). When MetS-IR was classified into four levels by quartile, we observed participants in the top level had 3.032-fold risk of mildly decreased eGFR (OR: 3.032, 95% CI: 1.841 to 4.991, p<0.001) compared with those from the bottom level. Further, we found the participants with higher MetS-IR score were more likely to aggravate into a worse renal state which presented as higher risk of accelerated decline of eGFR, by additional 28.3% risk in whole participants (OR: 1.283, 95% CI: 1.150 to 1.430, p<0.001) and 41.9% in men (OR: 1.419, 95% CI: 1.183 to 1.701, p<0.001).

CONCLUSION

High MetS-IR was associated with high risk of mildly reduced eGFR and often accompanied by a high risk of accelerated decline in eGFR. Hence, we believed MetS-IR was a suitable indicator to evaluate the risk of early-stage renal dysfunction.

Metabolic Syndrome Severity Score, Comparable to Serum Creatinine, Could Predict the Occurrence of End-Stage Kidney Disease in Patients with Antineutrophil Cytoplasmic Antibody-Associated Vasculitis

This study investigated whether the metabolic syndrome (MetS) severity (MSSS) at diagnosis could predict poor outcomes during follow-up in antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) patients with MetS. The equation for the MSSS at diagnosis used in this study was developed and validated in Korean adults aged 20–59 years. The medical records of 261 patients with AAV were retrospectively reviewed, and finally, 36 AAV patients with MetS aged 20–59 years fulfilling the inclusion criteria were included in this study. All-cause mortality, relapse, end-stage kidney disease (ESKD), cerebrovascular accident, and cardiovascular disease were assessed as the poor outcomes of AAV. Their median age was 51.2 years and 36.1% were male. The MSSS was significantly correlated with age and serum albumin but not AAV-specific indices. Among the five poor outcomes, only ESKD showed a relatively significant area under the curve (area 0.696) in receiver operating characteristic curve analysis. In the multivariable Cox hazards model analysis, both serum creatinine (HR 3.033) and MSSS (HR = 2.221) were significantly associated with ESKD occurrence. When the cut-off of the MSSS for ESKD was set at 1.72, ESKD occurred more frequently in patients with MSSS ≥ 1.72 than in those with MSSS < 1.72 (75.0% versus 14.3%, p = 0.002). Furthermore, patients with MSSS ≥ 1.72 exhibited a significantly lower cumulative ESKD-free survival rate than those with MSSS < 1.72 (p = 0.001). MSSS at the time of AAV diagnosis independently predicted the occurrence of ESKD during follow-up in patients with AAV and MetS.

Metabolic Constellations, Clusters, and Renal Function: Findings from the 2013-2018 National Health and Nutrition Examination Surveys

Metabolic syndrome (MetS) is associated with decreased renal function and chronic kidney disease (CKD). To date, no research regarding the sixteen possible constellations resulting in the diagnosis of MetS has been elucidated. The purpose of this study is to report renal function in sixteen metabolic constellations grouped into four metabolic clusters. Individuals (n = 2767; representing 86,652,073 individuals) from the 2013-2018 National Health and Nutrition Examination Surveys who met the criteria for MetS were included. Sixteen possible constellations of three or more risk factors were analyzed for renal function. Four metabolic clusters representing MetS with hyperglycemia (Cluster I), MetS with hypertension (Cluster II), MetS with hyperglycemia and hypertension (Cluster III), or MetS with normoglycemia and normotension (Cluster IV) were assessed for renal function and CKD status. Cluster III had the highest odds of CKD (OR = 2.57, 95% CL = 1.79, 3.68). Clusters II and III had the lowest renal function and were not different from one another (87.82 and 87.28 mL/min/1.73 m2, p = 0.71). The constellation with the lowest renal function consisted of hypertension, high triglycerides, and a large waist circumference (82.86 mL/min/1.73 m2), whereas the constellation with the highest renal function consisted of hyperglycemia, low HDL, and a large waist circumference (107.46 mL/min/1.73 m2). The sixteen constellations of MetS do not have the same effects on renal function. More research is needed to understand the relationship between the various iterations of MetS and renal function.

Metabolic Syndrome Severity Score for Predicting Cardiovascular Events: A Nationwide Population-Based Study from Korea

BACKGROUND

Recently, a metabolic syndrome severity score (MS score) using a dataset of the Korea National Health and Nutrition Examination Surveys has been developed. We aimed to determine whether the newly developed score is a significant predictor of cardiovascular (CV) events among the Korean population.

METHODS

From the Korean National Health Insurance System, 2,541,364 (aged 40 to 59 years) subjects with no history of CV events (ischemic stroke or myocardial infarction [MI]), who underwent health examinations from 2009 to 2011 and were followed up until 2014 to 2017, were identified. Cox proportional hazard model was employed to investigate the association between MS score and CV events. Model performance of MS score for predicting CV events was compared to that of conventional metabolic syndrome diagnostic criteria (Adult Treatment Program III [ATP-III]) using the Akaike information criterion and the area under the receiver operating characteristic curve.

RESULTS

Over a median follow-up of 6 years, 15,762 cases of CV events were reported. MS score at baseline showed a linear association with incident CV events. In the multivariable-adjusted model, the hazard ratios (95% confidence intervals) comparing the highest versus lowest quartiles of MS score were 1.48 (1.36 to 1.60) for MI and 1.89 (1.74 to 2.05) for stroke. Model fitness and performance of the MS score in predicting CV events were superior to those of ATP-III.

CONCLUSION

The newly developed age- and sex-specific continuous MS score for the Korean population is an independent predictor of ischemic stroke and MI in Korean middle-aged adults even after adjusting for confounding factors.

Hepatic Steatosis Index and Chronic Kidney Disease among Middle-Aged Individuals: A Large-Scale Study in Japan

BACKGROUND

Though nonalcoholic fatty liver disease (NAFLD) is related to chronic kidney disease (CKD), it is unclear whether the hepatic steatosis index (HSI), a screening tool for NAFLD, is related to CKD. The present study investigated the relationship between HSI and CKD among middle-aged individuals in Japan.

METHODS

Subjects were adults (aged 40-64 years) who received an annual health checkup in Japan between April 2013 and March 2014. Height and weight were measured, and venous blood samples were obtained to determine alanine aminotransferase (ALT), aspartate aminotransferase (AST), and creatinine levels. HSI was calculated by the following formula: HSI = 8 × ALT/AST ratio + body mass index (+2, if diabetes; +2, if female). CKD was defined as an estimated glomerular filtration rate < 60 mL/min/1.73 m2 and/or urinary protein of ≥ (+). Logistic regression analysis was performed to estimate the odds ratio (OR) and its 95% confidence interval (CI) for CKD.

RESULTS

Data of 94,893 adults were analyzed. Compared with men with an HSI < 30, men with 30 ≤ HSI ≤ 36 (OR: 1.50, 95% CI: 1.40-1.61) and HSI > 36 (OR: 2.14, 95% CI: 1.99-2.31) had significantly higher ORs for CKD. Moreover, there was a significant dose-response relationship between HSI and CKD (P for trend < 0.001). Even after adjusting for confounders, the significant results persisted. These findings in men were similar to those in women.

CONCLUSIONS

This study showed that the HSI was associated with CKD among middle-aged adults in Japan. Additionally, a dose-response relationship of HSI to CKD was observed. The present study suggested that it might be useful to monitor the HSI among middle-aged individuals to detect CKD at an early stage.

Increased prevalence rate of metabolic syndrome is an independent predictor of cardiovascular disease in patients with antineutrophil cytoplasmic antibody-associated vasculitis

OBJECTIVE

We investigated the prevalence of metabolic syndrome (MetS) in all or nonobese patients with antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) and compared it with age- and gender-matched controls. Also, we assessed the effect of variables at diagnosis on the risk of cardiovascular disease (CVD) in all or nonobese AAV patients.

METHODS

In this study, 173 AAV patients and 344 controls were included and MetS was defined by the National Cholesterol Education Program Adults Treatment Panel III criteria. The obesity based on body mass index (BMI) was defined as BMI ≥ 25 kg/m². The follow-up duration was defined as the period from diagnosis to the last visit or to each poor outcome occurrence.

RESULTS

The median age of AAV patients was 58.7 years and 57 patients were men. The prevalence of MetS was 50.9% in all AAV patients and 46.5% in nonobese AAV patients, which were significantly higher than 37.8% in all controls and 28.2% in nonobese controls. In Kaplan-Meier survival analysis, Mets at diagnosis significantly reduced the cumulative CVD-free survival rate in both all and nonobese AAV patients. In the multivariable Cox hazards model analysis, CVD during follow-up was significantly associated with both Birmingham vasculitis activity score (BVAS) (HR 1.159) and MetS at diagnosis (HR 9.036) in nonobese AAV patients.

CONCLUSIONS

The prevalence of MetS at diagnosis in all or nonobese AAV patients was significantly higher than those in all or nonobese controls. Furthermore, both BVAS and MetS at diagnosis increased the risk of CVD in nonobese AAV patients.

Novel equation for estimating resting energy expenditure in patients with chronic kidney disease

BACKGROUND

In chronic kidney disease (CKD), determining energy expenditure is the precondition for recommending energy intake in nutrition management.

OBJECTIVES

We aimed to develop and validate a resting energy expenditure (REE) equation for patients with CKD.

METHODS

This cross-sectional study enrolled 300 patients with CKD (stages 3-5) according to inclusion and exclusion criteria. Stepwise linear regression analysis was used to derive a new REE equation (eREE-CKD) according to actual REE (aREE) measured using indirect calorimetry in the development dataset. The eREE-CKD value was then validated with aREE in the validation dataset and compared with values from existing equations obtained in general populations, namely, the Harris-Benedict, Mifflin, WHO, and Schofield equations in terms of bias, precision, and accuracy.

RESULTS

The eREE-CKD equation: eREE-CKD (kcal) = (1 if male; 0 if female) × 106.0 - [1 if diabetes mellitus (DM); 0 if non-DM] × 51.6 - 4.7 × age (y) + 13.1 × weight (kg) + 645.5 (R2 = 0.779).The bias, precision, and accuracy (percentage of estimates that differed >20% from the measured REE) of the eREE-CKD equation were -0.4 (IQR: -29.8, 23.8) kcal, 98.4 (IQR: 79.5, 116.6) kcal, and 5.4%, respectively with indirect calorimetry as the reference method. Both bias and precision of the eREE-CKD were significantly better than the Harris-Benedict, WHO, and Schofield equations (P < 0.001) and similar to the Mifflin equation (P = 0.125 for bias and 0.268 for precision). Accuracy of the eREE-CKD was significantly better than the Harris-Benedict, WHO, Mifflin, and Schofield equations (P < 0.001). Bias, precision, and accuracy of the eREE-CKD equation were consistent when applied to subgroups categorized according to high-sensitivity C-reactive protein concentrations and CKD stages, respectively.

CONCLUSIONS

The eREE-CKD equation using age, sex, weight, and DM data could serve as a reliable tool for estimating REE in patients with CKD. This trial was registered at clinicaltrials.gov as NCT03377413.

Position paper on liver and kidney diseases from the Italian Association for the Study of Liver (AISF), in collaboration with the Italian Society of Nephrology (SIN)

Liver and kidney are strictly connected in a reciprocal manner, in both the physiological and pathological condition. The Italian Association for the Study of Liver, in collaboration with the Italian Society of Nephrology, with this position paper aims to provide an up-to-date overview on the principal relationships between these two important organs. A panel of well-recognized international expert hepatologists and nephrologists identified five relevant topics: 1) The diagnosis of kidney damage in patients with chronic liver disease; 2) Acute kidney injury in liver cirrhosis; 3) Association between chronic liver disease and chronic kidney disease; 4) Kidney damage according to different etiology of liver disease; 5) Polycystic kidney and liver disease. The discussion process started with a review of the literature relating to each of the five major topics and clinical questions and related statements were subsequently formulated. The quality of evidence and strength of recommendations were graded according to the GRADE system. The statements presented here highlight the importance of strong collaboration between hepatologists and nephrologists for the management of critically ill patients, such as those with combined liver and kidney impairment.

Optimised anthropometric indices as predictive screening tools for metabolic syndrome in adults: a cross-sectional study

OBJECTIVES

We aimed to evaluate the association between metabolic syndrome (MetS) and two latest optimised indices, waist divided by height ^0.5 (WHT.5R) and body mass index (BMI) multiply by the square root of BMI and waist circumference (BMI√WC), and to comprehensively compare the ability of 10 anthropometric indices to identify MetS, including BMI√WC, WHT.5R, abdominal volume index (AVI), waist-to-height ratio (WHtR), Body Roundness Index (BRI).

DESIGN

Cross-sectional study.

SETTING

Ningxia, China.

PARTICIPANTS

A total of 3860 adults aged 18-88 years from Ningxia, China were recruited by a single stratified cluster random sampling method.

METHODS

ORs and 95% CIs for associations between indices and MetS were calculated using binary logistic regression, and areas under the receiver operating characteristic (ROC) curves (AUCs) were performed to compare their predictive capacity for MetS. All results for men and women were analysed and presented separately.

RESULTS

The highest adjusted ORs for MetS were observed for the following indices: AVI (OR 15.22, 95% CI 10.88 to 21.30), WHT.5R (OR 13.83, 95% CI 9.89 to 19.35) and BMI√WC (OR 12.14, 95% CI 8.79 to 16.76) in men, whereas BRI, WHtR (both OR 14.91, 95% CI 10.39 to 21.4), WHT.5R (OR 14.22, 95% CI 9.96 to 20.29) and AVI (OR 14.03, 95% CI 9.91 to 19.87) in women. In ROC analysis, AVI (AUC: 0.767 for men and 0.749 for women) and WHT.5R (AUC: 0.761 for men and 0.747 for women) showed the highest predictive ability for MetS.

CONCLUSIONS

BMI√WC and WHT.5R were significantly positively associated with MetS, and AVI and WHT.5R could be useful screening tools for identifying MetS in both sexes.

Association of sleep duration with chronic kidney disease and proteinuria in adults: a systematic review and dose-response meta-analysis

BACKGROUND AND OBJECTIVES

Previous studies have found that sleep duration may be associated with chronic kidney disease (CKD) and proteinuria in adults. However, the correlation remains controversial. In this study, we aimed to assess the effects of sleep duration on CKD and proteinuria.

METHODS

PubMed, EMBASE, and Cochrane Library were searched from their inception up to April 5, 2019 for observational study. The outcomes were CKD and/or proteinuria and the exposure was sleep duration assessed by self-reported questionnaire or interview. Studies were included if they provided risk estimates of effects of sleep duration on patients with CKD or proteinuria. The overall effects were measured by odds ratios (OR) and 95% confidence intervals (CI). Heterogeneity was quantified using Q statistics and the I² statistics. The potential causes of heterogeneity were investigated using sensitivity analysis.

RESULTS

Eleven observational studies with 521,242 individuals were included. The adjusted ORs of CKD in individuals who slept ≤ 6 h/night and ≥ 8 h/night were 1.13 (95% CI, 1.02-1.25; I² = 29%) and 1.14 (95% CI, 1.07-1.22; I²= 0%), respectively. Meanwhile, the adjusted ORs of proteinuria in those who slept ≤ 6 h/night and ≥ 8 h/night were 1.24 (95% CI, 1.06-1.44; I² = 61%) and 1.15 (95% CI, 1.04-1.29; I² = 0%), respectively. Furthermore, a U-shaped relationship was observed between sleep duration and CKD or proteinuria, with the lowest risk at 7 h/night of sleep.

CONCLUSIONS

Both short and long sleep durations are significantly associated with CKD and proteinuria. Our findings suggest curvilinear dose-response associations of sleep duration with CKD and proteinuria.

Metabolic Syndrome, a Real Barrier for Living Kidney Donor Transplant

INTRODUCTION

Renal transplantation is the optimal renal replacement therapy. In Mexico, most of the kidney transplants are from living donors. It is essential to identify conditions that increase the risk of developing chronic kidney disease (CKD) in donors, such as metabolic syndrome (MS).

MATERIALS AND METHODS

In retrospect from January 2008 to December 2018, the donation protocols for renal transplantation of the Hospital Central Sur Alta Especialidad "Picacho" were reviewed, classifying all the cases of donors by nephrectomy or no nephrectomy and describing the demographic characteristics, prevalence of metabolic diseases, and cause of rejection of the protocol.

RESULTS

A total of 178 donors were studied: 82 women (46%), 96 men (54%), mean age of 42 years, average body mass index (BMI) 27.9 kg/m², glomerular filtration rate (GFR) by Chronic Kidney Disease Epidemiology Collaboration 99 mL/min, 59 patients with grade I and II obesity (BMI ≥ 30 kg/m²), and 1 patient with morbid obesity (BMI ≥ 40 kg/m²). A total of 39 patients (22%) underwent nephrectomy and 139 (78%) did not. The following characteristics and alterations were found: Of the 139 patients who did not undergo nephrectomy, 91 had metabolic disorders, 20 had low GFR, 21 had albuminuria, and 4 recipients received cadaveric transplants, 3 due to critical conditions of the recipient. The metabolic alterations in the rejected donors were as follows: MS 54 (59%), prediabetes 55 (39%), newly diagnosed hypertension 70 (76%), diabetes mellitus 20 (14%), obesity 47 (51.6%), dyslipidemia 76 (83%), hyperuricemia 17 (12%).

DISCUSSION

The prevalence of MS in apparently healthy donors is similar to that of other studies in Mexico. Both MS and its components are independently associated with an increased risk of cardiovascular disease and CKD. It has been shown that these donors have a greater degree of glomerular and interstitial fibrosis; therefore, diagnosis, prevention, and timely treatment in this group are important.

Leisure Time Physical Activity to Reduce Metabolic Syndrome Risk: A 10-Year Community-Based Prospective Study in Korea

PURPOSE

Metabolic syndrome (MetS) is a major public health problem related to increased risks of cardiovascular disease and type 2 diabetes. We investigated whether recommended levels of leisure time physical activity (LTPA) decrease the risk of MetS in a community-based prospective cohort study (Ansung and Ansan cohort).

MATERIALS AND METHODS

A total of 3910 adults (1890 men, 2020 women) without MetS examined in 2001-2002 (baseline) were included in this study and followed up from 2013 to 2014. We measured LTPA energy expenditure using the standard metabolic equivalent value [metabolic equivalent of task (MET)-h/wk]. Individuals were categorized into five groups (physically inactive, 0.1 to <7.5, 7.5 to <15.0, 15.0 to <22.5, 22.5 to <40.0, and ≥40.0 MET-h/wk).

RESULTS

The mean follow-up period was 11.8 years. Among the cohort, 482 men (25.5%) and 541 women (26.8%) were diagnosed with newly developed MetS. Multivariate logistic analysis revealed a 4.4% lower MetS risk among those performing two to three times the recommended minimum of 7.5 MET-h/wk [multivariate relative risk (RR), 0.956; 95% confidence interval (CI), 0.654-1.398] and a 21.9% lower risk among those performing three to four times the physical activity minimum (multivariate RR, 0.781; 95% CI, 0.574-1.063). This association was only significant in females performing three to four times the minimum (crude RR, 0.655; 95% CI, 0.432-0.994).

CONCLUSION

We noted that physical activity at more than 2 times the recommended minimum prevents MetS. Healthcare professionals should encourage inactive adults to be physically active during their leisure time to take advantage of its health benefits.

Individual and Combined Components of Metabolic Syndrome with Chronic Kidney Disease in Individuals with Hypertension and/or Diabetes Mellitus Accompanied by Primary Health Care

PURPOSE

To identify the associations between MetS and its components and chronic kidney disease (CKD) in a population with arterial hypertension (AH), or diabetes mellitus (DM) accompanied by the Primary Health Care (PHC).

PATIENTS AND METHODS

A cross-sectional study with 788 individuals diagnosed with AH and/or DM followed by PHC of Viçosa, Brazil. Anthropometric, biochemical and clinical measures were performed for the diagnosis of MetS and CKD. MetS was identified using the NCEP-ATPIII criteria. CKD was identified by estimating the glomerular filtration rate using the CKD-EPI equation. Logistic regression models were used to estimate the chances of CKD associated with MetS and its components and specific combinations of components.

RESULTS

The prevalence of MetS reported in the population was 65.4%, that of hidden CKD was 15.4%. The prevalence of CKD among participants with MetS was 75.2%. The most prevalent component of MetS in the population was AH (96.7%). Elevated fasting blood glucose, central obesity, and reduced HDL-c were significantly associated with an increased chance of CKD (OR = 2.80, 95% CI 1.76-4.45, OR = 1.68, 95% CI, 05-2.71, OR = 1.61, CI 95% 1.03-2.50, respectively). For the multivariate adjustment, the participants with MetS were 2 times more likely to have CKD than those without MetS (OR = 2.07; 95% CI, 1.25-3.44). The combination of three components of MetS high blood pressure, abdominal obesity and elevated fasting blood glucose and the combination of four components of MetS high blood pressure, reduced HDL-c, high fasting blood glucose and abdominal obesity were associated with increased odds of CKD (OR = 2.67, CI 95% 1.70-4.20, OR = 2.50, CI 95% 1.55-4.02, respectively).

CONCLUSION

MetS, as well as its individual or combined components were independently associated with CKD in the population with AH and/or DM accompanied by PHC.

Genetic and Environmental Influences on the Correlations between Traits of Metabolic Syndrome and CKD

BACKGROUND AND OBJECTIVES

Metabolic syndrome is a cluster of risk factors associated with CKD. By studying the genetic and environmental influences on how traits of metabolic syndrome correlate with CKD, the understanding of the etiological relationships can be improved.

DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS

From the population-based TwinGene project within the Swedish Twin Registry, 4721 complete twin pairs (9442 European ancestry participants) were included in this cross-sectional twin study. Metabolic syndrome-related continuous traits were measured, and the binary components as well as the status of metabolic syndrome were defined according to the National Cholesterol Education Program-Adult Treatment Panel III. The eGFR was calculated by cystatin C-based equations from the CKD epidemiology collaboration group, and CKD was defined by eGFR<60 ml/min per 1.73 m². Genetic and environmental contributions to the correlations between traits of metabolic syndrome and CKD were estimated by using twin-based bivariate structural equation models.

RESULTS

The correlation between metabolic syndrome and eGFR-defined CKD was 0.16 (95% confidence interval [95% CI], 0.12 to 0.20), out of which 51% (95% CI, 12% to 90%) was explained by genes, whereas 15% (95% CI, 0% to 42%) and 34% (95% CI, 16% to 52%) was explained by the shared and nonshared environment, respectively. The genetic and environmental correlations between metabolic syndrome and CKD were 0.29 (95% CI, 0.07 to 0.51) and 0.27 (95% CI, 0.13 to 0.41), respectively. For the correlation between abdominal obesity and eGFR, 69% (95% CI, 10% to 100%) was explained by genes and 23% (95% CI, 5% to 41%) was explained by environment. The genetic correlation between abdominal obesity and eGFR was -0.30 (95% CI, -0.54 to -0.06), whereas the environmental correlation was -0.14 (95% CI, -0.22 to -0.06).

CONCLUSIONS

Both genes and environment contribute to the correlation between metabolic syndrome and eGFR-defined CKD. The genetic contribution is particularly important to the correlation between abdominal obesity and eGFR.

Plasma triglyceride levels and central obesity predict the development of kidney injury in Chinese community older adults

Objective: Despite the achievement of blood glucose, blood pressure targets, the risk for kidney injury remains high among older adults. This observational retrospective study investigated whether high TG or high WC contribute to this high residual risk for kidney injury. Methods: A total of 843 elderly from Dongli Community, Tianjin, China, we selected 666 individuals with a baseline estimated glomerular filtration rate (eGFR) ≥60 mL/min/1.73 m2 and negative microalbuminuria completing a 3-year follow-up. At baseline, subjects were grouped according to the levels of TG and WC. The primary outcome was the incidence of kidney injury, defined as low eGFR (eGFR <60 mL/min/1.73 m2) or reduced eGFR (eGFR reduced >25%) or UACR ≥30 mg/g. Results: Overall, 6.01% developed low eGFR, 11.11% reduced eGFR, 25.98% UACR ≥30 mg/g, and 3.45% low eGFR and UACR ≥30mg/g after 3-year follow-up. TG ≥1.7 mmol/L increased the risk of eGFR <60 mL/min/1.73 m2 by 1.44-fold, of UACR ≥30 mg/g by 32%, and of developing both abnormality by 1.41-fold in model 1; further adjustment for potential confounders factors, the association is slightly weakened in model 2 and 3; WC (≥90 cm in men and ≥85 cm in women) were associated with a 1.68-fold higher risk of eGFR <60 mL/min/1.73 m2 and a 1.43-fold risk of UACR ≥30 mg/g and a 1.89-fold risk of developing both abnormality in model 1. Further adjustment for potential confounders factors, the association is slightly weakened in model 2 and 3. Conclusions: In a population of Chinese community-dwelling older adults, high TG and central obesity were risk factors for the development of kidney injury over 3 years.