Metabolic syndrome severity score and the progression of CKD

Sex difference in the relationship between 24-h sodium-potassium ratio and prevalence of metabolic syndromes: a cross-sectional study

Maintaining a balanced ratio between sodium and potassium intake is one of the most important dietary and lifestyle factors in the development of metabolic syndrome (MetS), but available evidence is still limited, particularly when using urine samples to estimate this ratio. We aim to evaluate the associations between the 24-h urinary sodium-potassium ratio (24hUNa/KE) and MetS risk through a large health check-up program in China. This cross-sectional study analyzed health check-up data from 59,292 participants at the Third Xiangya Hospital's Department of Health Management in Changsha, China, from 2018 to 2021. Each participant gave one fasting urine sample to analyze sodium, potassium, and creatinine levels during the check-up. The Kawasaki formula estimated 24-h urinary sodium (24hUNaE) and potassium excretion (24hUKE), with the 24hUNa/KE ratio calculated by dividing 24hUNaE by 24hUKE. The prevalence of MetS was found to be 19.27%. Notably, the overall MetS prevalence was higher in men (28.08%) than in women (7.83%). In women, MetS prevalence increased from 6.35 to 10.30% across the lowest to highest 24hUNa/KE quartiles. A significant increase in MetS prevalence was associated with each standard deviation increase in 24hUNa/KE (adjusted odds ratio [AOR], 1.03; 95% confidence interval [CI] 1.01-1.06), particularly for central obesity (AOR, 1.04; 95% CI 1.02-1.06) and elevated blood pressure (AOR, 1.20; 95% CI 1.17-1.22). In women, a one standard deviation increase in the 24hUNa/KE ratio raised the risk of MetS by 9% (AOR, 1.09; 95% CI 1.05-1.14), but no significant link was found in men. A strong positive link exists between 24hUNa/KE and MetS and its components, especially central obesity and high blood pressure, with a more significant effect in women.

Relationship between bmi and glomerular filtration rate in a large cohort initiating a weight loss program: differential contributions of fat mass, fat-free mass, and abdominal fat compartments

BACKGROUND

The relationship between BMI and chronic kidney disease is controversial, likely due to the inability of BMI to accurately define body composition and adipose tissue distribution. Our objective was to evaluate the synergistic contribution of fat-free mass, fat mass, visceral (VAT) and subcutaneous (SAT) adipose tissue, to glomerular filtration rate (GFR) in a large cohort of subjects.

METHODS

A cross-sectional study of 9704 subjects (72% female, median age 47y, median BMI 28.1 kg/m2) was carried out. Each patient underwent an anthropometric assessment (weight, height, waist circumference, % of body fat by body skinfolds), an ultrasound measurement of VAT and SAT and blood sampling to measure metabolic syndrome (MS) parameters and serum creatinine. GFR was estimated using the EPI-CKD equation. MS was defined according to the harmonized criteria.

RESULTS

Among 9,704 subjects, 61.1% had a normal renal function, while 29.3% reported a reduction, from slightly to severely. The BMI was initially negatively associated with GFR in the univariate model (β = -0.32, 95% CI: -0.39, -0.25), but after adjusting for %body fat, the association was lost. We then split the BMI into its two components, Fat Mass Index (FMI) and Fat Free Mass Index (FFMI), and observed that FMI (β = -1.23, 95% CI: -1.35, -1.12) and FFMI (β = 0.79, 95% CI: 0.65, 0.92) were associated with a decrease and an increase in GFR, respectively. VAT (β = -1.83, 95% CI: -2.00, -1.67) and SAT (β = 3.21, 95% CI: 2.86, 3.57) were independently associated with a decrease and an increase in GFR, respectively. Similar results were obtained when studying the association between BMI, body composition, adipose tissue distribution, and the risk of reduced GFR (<90 ml/min/1.73 m2). Stratification by sex and MS did not substantially alter the results. A significant association between VAT and reduced GFR was observed only in women.

CONCLUSIONS

Our study highlights the importance of considering body composition and fat distribution when assessing renal function.

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 changes in metabolic syndrome with new-onset and progression of chronic kidney disease

BACKGROUND

Metabolic syndrome (MetS) is an independent risk factor for new-onset and progression of chronic kidney disease (CKD). However, whether changes in MetS are associated with the new-onset CKD and its progression remains unknown.

METHODS

A total of 36,571 participants from the Kailuan Study were enrolled in this study, including 27,072 without CKD and 9499 with CKD at baseline. According to the changes of MetS, 4 groups were divided as follows: MetS-free group, MetS-recovered group, MetS-developed group, and MetS-persistent group. Cox regression models were used to explore the association of changes in MetS with new-onset and progression of CKD.

RESULTS

During a median follow-up of 8.38 years, 3313 cases of new-onset CKD were identified in participants without CKD. Compared with the MetS-free group, the hazard ratio (HR) and 95% confidence interval (95% CI) for new-onset CKD in the MetS-recovered, MetS-developed and MetS-persistent groups was 1.34 (1.18-1.53), 1.46 (1.30-1.63) and 1.85 (1.69-2.02), respectively. Among 9499 participants with CKD, during a median follow-up of 8.18 years, a total of 2305 experienced CKD progression. Compared with the MetS-free group, the HR (95% CI) for CKD progression in each group were 1.05 (0.91-1.22), 1.34 (1.17-1.55) and 1.65 (1.49-1.83), respectively. Furthermore, the association between changes in MetS and new-onset CKD was stronger in younger and middle-aged participants (≤60 years old) compared with older participants.

CONCLUSIONS

Developed MetS and persistent MetS were both risk factors for the new-onset and progression of CKD. Even with recovery from MetS, an association of MetS with kidney damage remained.

Risk stratification of metabolic disorder-associated kidney disease

During the last 20 years, the disease burden attributable to metabolic disorders increased by 49.4%. Metabolic disorders are established risk factors for both chronic kidney disease (CKD) and cardiovascular disease (CVD). A concept of cardiovascular-kidney-metabolic (CKM) syndrome has recently been proposed to underscore the pathophysiological interrelatedness of the metabolic risk factors, CKD, and CVD. Two major adverse outcomes of the metabolic disorder-associated kidney disease are cardiovascular disease and, to a less extent, kidney failure. This review aims to briefly summarize the traditional metabolic risk factors for kidney disease; to introduce the concept of CKM health; to present the methods for risk assessment for CKD progression and CVD, with focus on validated and clinically applicable prediction tools; and to discuss the key gaps in the current tools for the risk stratification. In summary, in general clinical settings, the CKM health and associated risk in patients with the metabolic disorder-associated kidney disease can be assessed by combining the CKM staging model, the CKD Prognosis Consortium equations for CKD progression, and the Predicting Risk of CVD Events (PREVENT) equations for CVD. More efficient risk prediction tools, potentially incorporating multimodal data, are needed for more accurate and early identification of individuals at high risk and better personalized management of the disease.

Association between Metabolic Syndrome Score and Subclinical Atherosclerosis

Background

Previous studies have presented conflicting results on the correlation between metabolic syndrome (MetS) and subclinical atherosclerosis. However, the binary MetS definition cannot reflect the severity of metabolic disorders continuously and dynamically. The present study calculated the MetS score and explored the association between MetS score and subclinical atherosclerosis.

Methods

A total of 840 participants were included in this observational, cross-sectional study; 66.55% of participants were men, and the median age was 61.00 years (53.00, 67.00). Brachial-ankle pulse wave velocity (baPWV) and brachial flow-mediated dilation (bFMD) values were measured from October 2016 to January 2020. Spearman's correlation and multiple linear regression analyses were conducted to explore the correlation between the MetS score and baPWV and bFMD. Arterial stiffness was defined as baPWV ≥1400 cm/s, while endothelial dysfunction was described as bFMD >6%. Multiple logistic regression was performed to explore the effects of MetS and MetS score on arterial stiffness and endothelial dysfunction.

Results

The MetS score was significantly associated with baPWV (β = 73.59, 95% CI (42.70, 104.48); p < 0.001) and bFMD (β = -0.43, 95% CI (-0.75, -0.10); p = 0.010) after adjusting for covariates. Compared with the binary definition of MetS, the MetS score was a more significant predictor for arterial stiffness (odds ratio, OR = 2.63, 95% CI (1.85, 3.74); p < 0.001) and endothelial dysfunction (OR = 1.33, 95% CI (1.01, 1.76); p = 0.040). Leukocyte count (r = 0.32; p < 0.001) and high-sensitivity C-reactive protein (hs-CRP) (r = 0.17; p < 0.001) values were related to the MetS score.

Conclusions

The MetS score is a clinically accessible assessment of metabolic status that can identify individuals at higher risk of subclinical atherosclerosis.

Prediabetes and sleep patterns: Linking poor sleep to adverse outcomes through metabolic syndrome

AIMS

Evaluate how sleep patterns are associated with the risk of adverse health outcomes in individuals with prediabetes, and explore the potential mediating role of metabolic syndrome in these associations.

METHODS

We assessed 44,938 adults with prediabetes from the UK Biobank. Sleep health was evaluated using sleep pattern, comprised of five sleep factors. Mediation analysis was performed to explore the potential mediating role of metabolic syndrome.

RESULTS

Unhealthy sleep patterns were linked to a higher risk of adverse outcomes. Compared to those with a healthy sleep pattern, individuals with an intermediate sleep pattern had a higher propensity to develop adverse outcomes (HRs ranging from 1.07 to 1.31). Respectively, those with a poor sleep pattern also had an increased risk for these outcomes (HRs ranging from 1.21 to 1.92). For each poor sleep factor increase, the risk of these adverse outcomes increased by 4% to 23%. Metabolic syndrome may partially mediate, with mediation proportions ranging from 0.94% to 9.61%.

CONCLUSIONS

In adults with prediabetes, both poor and intermediate sleep patterns are associated with an increased risk of adverse outcomes. Metabolic syndrome partially mediates the relationship between sleep patterns and adverse outcomes.

Analysis of the relationship between components of metabolic syndrome and estimated glomerular filtration rate (eGFR)

Early recognition and management of risk factors that reduce kidney function are essential. This study aims to analyze the relationship between the components of metabolic syndrome and estimated glomerular filtration rate (eGFR), and to provide basic data that can help develop educational materials for the prevention of kidney diseases. Data from the second round of the KNHNES(korea national health and nutrition examination survey, 8th) which was conducted by the Korea Disease Control and Prevention Agency (2020), were downloaded and analyzed for the current research. Binary logistic analysis was used to identify factors that were risk predictors for metabolic syndrome. Identified factors were categories of metabolic syndrome, including waist circumference, blood pressure, triglycerides, blood glucose, HDL-cholesterol, triglycerides, and eGFR. eGFR was 0.03 % lower in males with metabolic syndrome (OR:0.973) and 0.03 % lower in females (OR:0.974). The eGFR was significantly lower for those with metabolic syndrome. According to this study, there was a significant correlation between reduced GFR and metabolic syndrome. Therefore, the meaningful baseline data for decreasing the prevalence of kidney disease and preventing metabolic syndrome provided by this study's results are significant.

Mendelian Randomization Studies: Opening a New Window in the Study of Metabolic Diseases and Chronic Kidney Disease

It is widely recognized that a strong correlation exists between metabolic diseases and chronic kidney disease (CKD). Based on bibliometric statistics, the overall number of Mendelian randomization (MR) analysis in relation to metabolic diseases and CKD has increased since 2005. In recent years, this topic has emerged as a significant area of research interest. In clinical studies, RCTs are often limited due to the intricate causal interplay between metabolic diseases and CKD, which makes it difficult to ascertain the precise etiology of these conditions definitively. In MR studies, genetic variation is incorporated as an instrumental variable (IV). They elucidate the possible causal relationships between associated risk factors and disease risks by including individual innate genetic markers. It is widely believed that MR avoids confounding and can reverse effects to the greatest extent possible. As an increasingly popular technology in the medical field, MR studies have become a popular technology in causal relationships investigation, particularly in epidemiological etiology studies. At present, MR has been widely used for the investigation of medical etiologies, drug development, and decision-making in public health. The article aims to offer insights into the causal relationship between metabolic diseases and CKD, as well as strategies for prevention and treatment, through a summary of MR-related research on these conditions.

Prevalence of metabolic syndrome and its associated factors in first-treatment drug-naïve schizophrenia patients: A large-scale cross-sectional study

BACKGROUND

Metabolic syndrome (MetS), a condition that includes several risk factors specific for cardiovascular disease, is commonly detected among patients with schizophrenia (SCZ). This study elucidated the factors contributing to the development and severity of MetS in first-treatment drug-naïve (FTDN) patients with SCZ.

METHODS

The study enrolled 668 individuals with FTDN SCZ, aged 18-49 years, who had no exposure to antipsychotic medications and been hospitalized between February 2017 and June 2022 at the largest psychiatric specialty institution in central China. Patient sociodemographic and general clinical data were collected, and their psychopathology scores and illness severity were assessed using the Positive and Negative Symptom Scale (PANSS) and Clinical Global Impression Scale-Severity of Illness (CGI-SI), respectively. MetS score was calculated to determine the disease severity.

RESULTS

The prevalence of MetS among this study population was 10.93%. Binary logistic regression analysis revealed onset age, female sex, total cholesterol, and red blood and white blood cell counts as risk factors for MetS, and deemed free tetraiodothyronine (FT4) and CGI-SI score as protective factors. Multiple linear regression analysis result confirmed older SCZ onset age as a risk factor for elevated MetS score.

CONCLUSION

This study determined the prevalence of MetS in patients with FTDN SCZ and revealed the factors that influence the occurrence and severity of the disease. These findings will allow development of specific prevention and treatment strategies in clinical practice.

Association of life's essential 8 with prevalence and all-cause mortality of chronic kidney disease among US adults: Results from the National Health and Nutrition Examination Survey (2015-2018)

Background and Objectives

The association between chronic kidney disease (CKD) and cardiovascular disease has been previously evaluated. This study aimed to evaluate the association between the American Heart Association's Life's Essential 8 (LE8) and the prevalence and all-cause mortality of CKD in a nationally representative population of adults in the US.

Methods

This retrospective analysis included participants from the National Health and Nutrition Examination Survey spanning 2015-2018. We used multivariable survey logistic regression model to calculate the adjusted odds ratios (AORs) of the LE8 score for the prevalence of CKD. Survey-weighted Cox proportional hazards models were used to calculate the adjusted hazards ratios (AHRs) of the LE8 score for the risk of all-cause mortality among participants with CKD.

Results

Of the 8907 included participants, 789 had stage 3 to 5 CKD, and 8118 were in the non-CKD group. The adjusted prevalence rate of CKD was 10.7% in the low LE8 score group, and lower in the moderate (7.9%) and high (7.7%) LE8 score groups. Compared with low LE8 scores, moderate LE8 score (adjusted odds ratio [AOR] 0.628, 95% confidence interval [CI]: 0.463 to 0.853, P = 0.004) and high LE8 scores (AOR 0.328, 95% CI: 0.142 to 0.759, P = 0.011) were associated with lower prevalence rates of CKD. A similar association was found for health factors scores. Additionally, an increase in the LE8 score was associated with a lower risk of all-cause mortality (adjusted hazard ratio [AHR] 0.702, 95% CI: 0.594 to 0.829, P < 0.001).

Conclusion

The results of this study suggest the association of higher LE8 and its subscale scores with a lower prevalence and all-cause mortality of CKD.

Clinical Patterns of Metabolic Syndrome in First-Hospitalized Major Depressive Disorder Patients: Comparison of Antidepressant-Exposed and Drug-Naïve Groups

Background

Major depressive disorder (MDD) and metabolic syndrome (MetS) are both major health threats nowadays, and the relationship between them is complex and close. The purpose of this paper is to compare differences in the prevalence and risk factors of MetS in first hospitalized patients with MDD with and without antidepressant exposure.

Methods

A total of 636 first hospitalized MDD patients (study group) with antidepressant exposure and 345 drug-naïve patients (control group) were included in this study. Their socio-demographic data, routine biochemical indices, and psychological symptom assessment were collected.

Results

There was no difference in the prevalence of MetS between the study group and the control group (F = 2.49, p = 0.115). Factors affecting MetS and its severity differed between the two groups, in the study group, the identified risk factors for MetS were onset age (B = 0.05, p <0.001, OR = 1.05, 95% CI = 1.02-1.08), TSH level (B = 0.42, p <0.001, OR = 1.53, 95% CI = 1.39-1.68). Meanwhile, in the control group, the identified risk factors for MetS were more extensive and they were, onset age (B = 0.11, p <0.001, OR = 1.12, 95% CI = 1.07-1.16), suicidal behavior (B = 1.54, p = 0.007, OR = 4.65, 95% CI = 1.51-14.33), HAMD scores (B = 0.23, p = 0.008, OR = 1.26, 95% CI = 1.06-1.49) and TSH levels (B = 0.33, p <0.001, OR = 1.39, 95% CI = 1.17-1.65). The number of risk factors identified was lower in the study group.

Conclusion

Antidepressant use was associated with greater MetS severity but did not affect overall prevalence. Antidepressants appear to modify MetS risk factors, highlighting the need to differentiate these effects from those in drug-naïve patients when developing MetS interventions for the MDD population.

Exploring the nexus: The place of kidney diseases within the cardiovascular-kidney-metabolic syndrome spectrum

Cardiovascular-kidney-metabolic (CKM) syndrome and chronic kidney disease (CKD) are two significant comorbidities affecting a large proportion of the general population with considerable crosstalk. In addition to substantial co-incidence of CKD and CKM syndrome in epidemiological studies, clinical and pre-clinical studies have identified similar pathophysiological pathways leading to both entities. Patients with CKM syndrome are more prone to develop acute kidney injury and CKD, while therapeutic alternatives and their success rates are considerably lower in such patient groups. Nevertheless, the association between CKM syndrome and CKD or ESKD is bidirectional rather than being a cause-effect relationship as patients with CKD are also prone to develop peripheral insulin resistance, high blood pressure, and dyslipidemia. Furthermore, such patients are less likely to receive kidney transplantation in addition to the higher allograft dysfunction risk. We hereby aim to evaluate the association in-between kidney diseases and CKM syndrome, including epidemiological data, pre-clinical studies with pathophysiological pathways, and potential therapeutic perspectives.

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.

BMI-based metabolic syndrome severity score and arterial stiffness in a cohort Chinese study

BACKGROUND AND AIMS

To investigate the relationship between metabolic syndrome severity z score(MetS-Z) and arterial stiffness(AS).

METHODS AND RESULTS

A total of 7621 participants who took three physical examination and brachial-ankle pulse wave velocity(ba-pwv) test from 2006 were enrolled. Cumulative MetS-Z(cMetS-Z) was calculated by using blood pressure, triglycerides, HDL cholesterol, blood glucose and BMI. AS was assessed by ba-pwv. Cox regression model was used to evaluate the risk of AS. All participants were divided into four groups according to cMetS-Z(Q1-Q4). The average age of the participants was 43.06 ± 8.91 years old. During a median follow-up of 6.27 years, 1831cases of AS were identified. The incident rate of AS increased gradually from group Q1 to Q4. Compared with the lowest cMetS-Z(group Q1), the adjusted hazard ratio (HR) and 95% confidence interval (CI) of group Q2-Q4 for AS were 1.27 (1.09-1.47),1.28(1.10-1.48) and 1.45 (1.24-1.69) respectively. The cubic spline model indicated cMetS-Z had a liner relationship with AS and the cut-off value was lower than zero. Sub-group analysis suggested cMetS-Z was related to AS especially among participants who were younger and without obesity or hypertension or diabetes.

CONCLUSION

Higher cMetS-Z was associated with an increased risk of AS in this cohort community study, and this relationship seemed to be stronger among normal healthy subjects.

REGISTRATION NUMBER

ChiCTR-TNC-11001489.

CLINICAL TRIAL

January 1st 2006, ChiCTR-TNC-11001489 and 2011.

The association of metabolic syndrome score trajectory patterns with risk of all cancer types

BACKGROUND

Metabolic syndrome (MetS) elevates cancer risk. However, a single MetS assessment does not fully reveal the long-term association with cancer. Inflammation, alongside MetS, could synergistically expedite both the onset and advancement of cancer. This study aims to investigate MetS score trajectories and cancer risk in a large, prospective cohort study.

METHODS

The authors prospectively examined the relationship between MetS score trajectory patterns and new-onset cancer in 44,115 participants. Latent mixture modeling was used to identify the MetS score trajectories. Cox proportional hazards regression models were used to evaluate the association between MetS score trajectory patterns and the risk of overall and site-specific cancers.

RESULTS

Four MetS score trajectory patterns were identified: low-stable (n = 4657), moderate-low (n = 18,018), moderate-high (n = 18,288), and elevated-increasing (n = 3152). Compared to participants with a low-stable trajectory pattern, the elevated-increasing trajectory pattern was associated with an elevated risk of overall (hazard ratio [HR], 1.27; 95% confidence interval [CI], 1.04-1.55), breast (HR, 2.11; 95% CI, 1.04-4.34), endometrial (HR, 3.33; 95% CI, 1.16-6.77), kidney (HR, 4.52; 95% CI, 1.17-10.48), colorectal (HR, 2.54; 95% CI, 1.27-5.09), and liver (HR, 1.61; 95% CI, 1.09-4.57) cancers. Among participants with chronic inflammation (C-reactive protein levels ≥3 mg/L), the elevated-increasing trajectory pattern was significantly associated with subsequent breast, endometrial, colorectal, and liver cancers.

CONCLUSIONS

Trajectories of MetS scores are associated with the occurrence of cancers, especially breast, endometrial, kidney, colorectal, and liver cancers, emphasizing the importance of long-term monitoring and evaluation of MetS.

PLAIN LANGUAGE SUMMARY

The association between long-term elevated metabolic syndrome (MetS) scores and a heightened risk of various cancers is a pivotal finding of our study. Our research further indicates that individuals with MetS, particularly when coupled with chronic inflammation, are at an increased risk of cancer. We propose that sustained monitoring and management of MetS could be beneficial in reducing cancer risk.

Association of Dietary Retinol Intake and Serum Neurofilament Light Chain Levels: Results from NHANES 2013-2014

BACKGROUND

There is increasing evidence suggesting that serum neurofilament light chain (sNfL) levels can be used as biomarkers for axonal injury. Retinol is recognized for its significant involvement in nervous system function, but the precise connection between dietary retinol and sNfL levels remains uncertain.

OBJECTIVE

Our objective was to investigate the relationship between dietary retinol intake and sNfL, and to find an optimal retinol intake level for neurological health.

METHODS

In the National Health and Nutrition Examination Survey (NHANES), conducted from 2013 to 2014, a cohort of 1684 participants who met the criteria were selected for the study. sNfL levels were measured from stored serum samples using a novel high-throughput immunoassay platform from Siemens Healthineers. Assessment of dietary retinol intake was performed by a uniformly trained interviewer through a 24 h dietary recall method. A generalized linear model was evaluated to assess the correlation between dietary retinol intake and sNfL concentrations. Furthermore, the nonlinear association between the two is further explored using restricted cubic spline (RCS) analysis.

RESULTS

Upon adjusting for potential confounders, a 10% increase in dietary retinol intake was associated with a 3.47% increase in sNfL levels (95% CI: 0.54%, 6.49%) across all participants. This relationship was more pronounced in specific subgroups, including those under 60 years of age, non-obese, impaired estimated glomerular filtration rate (eGFR), and non-diabetic. In subgroup analysis, among those younger than 60 years of age (percent change: 3.80%; 95% CI: 0.43%, 7.28%), changes were found in non-obese participants (percent change: 6.28%; 95% CI: 2.66%, 10.02%), those with impaired eGFR (percent change: 6.90%; 95% CI: 1.44%, 12.65%), and non-diabetic patients (percentage change: 4.17%; 95% CI: 1.08%, 7.36%). RCS analysis showed a linear relationship between dietary retinol intake and sNfL levels. Furthermore, the positive correlation between the two was more significant after the inflection point, according to piecewise linear analysis.

CONCLUSION

This current investigation uncovered a J-shaped relationship between dietary retinol and sNfL levels, suggesting that axonal damage can occur when dietary retinol intake increases more than a specific threshold. These findings need to be further confirmed in future prospective studies to determine the precise intake level that may trigger axonal injury.

Association between metabolic syndrome severity score and cardiovascular disease: results from a longitudinal cohort study on Chinese adults

Objective

This study aimed to quantify the severity of metabolic syndrome(MetS) and investigate its association with cardiovascular disease(CVD) risk on Chinese adults.

Methods

13,500 participants from the Zhejiang Adult Chronic Disease Study were followed up between 2010 and 2021. A continuous MetS severity score derived from the five components of MetS was used to quantify MetS severity, and the association between MetS severity and the risk of incident CVD was assessed using Cox proportional hazard and restricted cubic spline regression.

Results

Both the presence and severity of MetS were strongly associated with CVD risk. MetS was related to an increased risk of CVD (hazard ratio(HR):1.700, 95% confidence interval(CI): 1.380-2.094). Compared with the hazard ratio for CVD in the lowest quartile of the MetS severity score, that in the second, third, and highest quartiles were 1.812 (1.329-2.470), 1.746 (1.265-2.410), and 2.817 (2.015-3.938), respectively. A linear and positive dose-response relationship was observed between the MetS severity and CVD risk (P for non-linearity = 0.437). Similar results were found in various sensitivity analyses.

Conclusion

The MetS severity score was significantly associated with CVD risk. Assessing MetS severity and further ensuring intervention measures according to the different severities of MetS may be more useful in preventing CVD.

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.

Effects of Metabolic Syndrome and Its Components on Chronic Kidney Disease and Renal Function: A Two-Sample Mendelian Randomization Study

Objective: The association of metabolic syndrome (MetS) and its components with chronic kidney disease (CKD) and renal function remains controversial in observational studies. To comprehensively investigate the association between MetS and its components with CKD and renal function, a Mendelian randomization (MR) study was performed. Methods: The inverse variance weighting (IVW) of random effects was used as the main estimation method, while MR-Egger and weighted median analysis results were used for auxiliary judgments. Cochran's Q test, MR-Egger intercept test, leave-one-out analysis, and funnel plots were used to assess heterogeneity and pleiotropy. Results: The MR analyses of genetically predicted MetS and its components' association with CKD risk and renal function showed the following causal associations: hypertension with CKD risk; MetS and obesity with increased blood urea nitrogen and decreased estimated glomerular filtration rate based on cystatin C; hypertension and diabetes with increased urine albumin-creatinine ratio and increased risk of microalbuminuria; and CKD with increased triglyceride. Conclusion: Based on genetic data, this study demonstrated an association between hypertension and CKD risk and a causal association between other MetS components and renal function. The early diagnosis and prevention of MetS and its components might be essential for CKD management.

Prevalence and factors associated with metabolic syndrome in first hospitalization for major depression disorder patients

Major depressive disorder (MDD) is a common and socially burdensome psychiatric disorder with a causal and complex relationship with metabolic syndrome (MetS), which is often co-morbid. However, the prevalence and risk factors for MetS in patients with MDD are inconclusive. The purpose of this study is to investigate the prevalence and factors influencing MetS in first hospitalization MDD patients. A total of 981 MDD patients were included. Sociodemographic and general clinical data were collected from the patients, while metabolism-related parameters were also measured, and psychological symptoms were assessed. Our study found that the prevalence of MetS in the study population was 9.68%. MDD patients with MetS had higher levels of metabolism-related parameters and more severe psychological symptoms. We identified risk factors for MetS and its severity separately: age of onset of MDD, more severe depressive symptoms, and higher thyroid stimulating hormone (TSH) levels were risk factors for the development of MetS, whereas higher TSH levels were risk factors for the severity of MetS. Our results suggest that MetS is not highly prevalent in MDD patients, but certain risk factors may increase its likelihood and severity, and that these findings could be beneficial for clinical intervention and care of MetS.

Inverse J-Shaped Relationship of Dietary Carbohydrate Intake with Serum Klotho in NHANES 2007-2016

BACKGROUND

The relationship between dietary carbohydrate intake and serum Klotho levels, an aging biomarker, remains uncertain.

OBJECTIVE

This study aimed to investigate the association between dietary carbohydrate intake and serum Klotho levels among American adults aged 40-79.

METHODS

We analyzed data from 10,669 adults aged 40-79 years who participated in the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2016. Trained interviewers assessed dietary carbohydrate intake using a 24 h dietary recall. Serum Klotho concentrations were measured using commercially available ELISA kits provided by IBL International, Japan, which served as the study outcome. Generalized linear models were used to assess the relationship between the carbohydrate energy percentage and serum Klotho concentration, and restricted cubic spline (RCS) analysis was employed to explore any nonlinear associations.

RESULTS

After adjusting for multiple variables, we observed a nonlinear inverse J-shaped relationship (p for non-linearity < 0.001) between the carbohydrate energy percentage and serum Klotho levels. Specifically, the highest serum Klotho levels were associated with a total carbohydrate energy percentage ranging from 48.92% to 56.20% (third quartile). When the carbohydrate energy percentage was evaluated in quartiles, serum Klotho levels decreased by 5.37% (95% CI: -7.43%, -3.26%), 2.70% (95% CI: -4.51%, -0.86%), and 2.76% (95% CI: -4.86%, -0.62%) in the first quartile (<41.46%), second quartile (41.46% to 48.92%), and fourth quartile (≥56.20%), respectively, compared to the third quartile. This relationship was more pronounced in male, non-obese and non-diabetic participants under 60 years of age.

CONCLUSION

A non-linear inverse J-shaped relationship exists among the general U.S. middle-aged and older population between the carbohydrate energy percentage and serum Klotho levels, with the highest levels observed at 48.92% to 56.20% carbohydrate intake.

The Association between Dietary Fiber Intake and Serum Klotho Levels in Americans: A Cross-Sectional Study from the National Health and Nutrition Examination Survey

BACKGROUND

Klotho is an aging-related marker closely associated with a number of diseases. A growing body of evidence suggests that dietary factors and lifestyle habits can impact serum Klotho levels. The effect of dietary fiber, a key component of a healthy diet, on the body's serum Klotho levels has not been fully elucidated.

OBJECTIVE

The aim of this study was to explore the relationship between dietary fiber intake and serum Klotho levels in people aged 40-79 years in the United States.

METHODS

A total of 11,282 participants were included in this study, all from the National Health and Nutrition Examination Survey from 2007 to 2016. Dietary fiber intake was assessed by uniformly trained interviewers using the 24 h dietary recall method. Serum Klotho was quantified using commercially available ELISA kits manufactured by IBL International, Japan. The relationship between dietary fiber intake and serum Klotho levels was analyzed using a multiple linear regression model. Subsequently, the non-linear dose-response relationship between the two was further explored using a restricted cubic spline (RCS) model.

RESULTS

After adjusting for potential confounders, serum Klotho levels increased by 1.9% (95% confidence interval [CI]: 0.8%, 3.0%) for each interquartile range increase in dietary fiber intake in all participants. Considering dietary fiber intake as a categorical variable, serum Klotho levels were found to be 4.7% higher in participants in the highest quartile of dietary fiber intake than in those in the lowest quartile (95% CI: 1.8%, 7.6%). RCS plots depicted a non-linear positive correlation between dietary fiber intake and serum Klotho levels. Subgroup analysis revealed that the relationship between dietary fiber intake and serum Klotho levels was more pronounced in older (percentage change: 7.0%; 95% CI: 2.5%, 11.7%) and overweight and obese participants (percentage change: 4.9%; 95% CI: 1.5%, 8.4%).

CONCLUSIONS

The results of this study showed that dietary fiber intake was significantly associated with serum Klotho levels in participants. This finding is yet to be further confirmed by prospective studies.

Impact of time-restricted feeding on kidney injury in male rats with experimental metabolic syndrome

Disruptions to circadian rhythm may be implicated in the pathogenesis of metabolic syndrome (Met-S). For example, eating during an extended period of the day may negatively impact the circadian rhythms governing metabolic control, contributing, therefore, to Met-S and associated end-organ damage. Accordingly, time-restricted eating (TRE)/feeding (TRF) is gaining popularity as a dietary intervention for the treatment and prevention of Met-S. To date, no studies have specifically examined the impact of TRE/TRF on the renal consequences of Met-S. The proposed study seeks to use a model of experimental Met-S-associated kidney disease to address this knowledge gap, disambiguating therein the effects of calorie restriction from the timing of food intake. Spontaneously hypertensive rats will consume a high-fat diet (HFD) for 8 weeks and then be allocated by stratified randomisation according to albuminuria to one of three groups. Rats will have free 24-h access to HFD (Group A), access to HFD during the scheduled hours of darkness (Group B) or access to HFD provided in the form of two rations, one provided during the light phase and one provided during the dark phase, equivalent overall in quantity to that consumed by rats in Group B (Group C). The primary outcome measure will be a change in albuminuria. Changes in food intake, body weight, blood pressure, glucose tolerance, fasting plasma insulin, urinary excretion of C-peptide and renal injury biomarkers, liver and kidney histopathology and inflammation, and fibrosis-related renal gene expression will be assessed as secondary outcomes.

Gender differences in prevalence and associated factors of metabolic syndrome in first-treatment and drug-naïve schizophrenia patients

BACKGROUND

Metabolic syndromes (MetS) are clinical syndromes involving multiple pathological states with distinct gender-specific clinical patterns. As a serious disorder associated with psychiatric conditions, the prevalence of MetS is significantly higher in the population with schizophrenia (Sch). The aim of this paper is to report gender differences in the prevalence, associated factors and severity-related factors of MetS in first-treatment and drug-naïve (FTDN) patients with Sch.

METHODS

A total of 668 patients with FTDN Sch were included in this study. We collected socio-demographic and general clinical information on the target population, measured and evaluated common metabolic parameters and routine biochemical indicators, and assessed the severity of psychiatric symptoms using Positive and Negative Symptom Scale (PANSS).

RESULTS

In the target group, the prevalence of MetS was significantly higher in women (13.44%, 57/424) than in men (6.56%, 16/244). In the males, waist circumference (WC), fasting blood glucose (FBG), diastolic blood pressure (DBP), and triglycerides (TG) were risk factors for MetS, while systolic blood pressure (SBP), TG, total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and platelet (PLT) were risk factors for the females. More importantly, for the females, we found that age, LDL-C, PANSS scores and blood creatinine (CRE) were risk factors for higher MetS scores, while onset age and hemoglobin (HGB) were protective factors.

CONCLUSION

There are significant gender differences in the prevalence of MetS and its factors among patients with FTDN Sch. The prevalence of MetS is higher and the factors that influence MetS are more numerous and extensive in females. The mechanisms of this difference need further research and clinical intervention strategies should be formulated with gender differences.

Cardiovascular Calcification Heterogeneity in Chronic Kidney Disease

Patients with chronic kidney disease (CKD) exhibit tremendously elevated risk for cardiovascular disease, particularly ischemic heart disease, due to premature vascular and cardiac aging and accelerated ectopic calcification. The presence of cardiovascular calcification associates with increased risk in patients with CKD. Disturbed mineral homeostasis and diverse comorbidities in these patients drive increased systemic cardiovascular calcification in different manifestations with diverse clinical consequences, like plaque instability, vessel stiffening, and aortic stenosis. This review outlines the heterogeneity in calcification patterning, including mineral type and location and potential implications on clinical outcomes. The advent of therapeutics currently in clinical trials may reduce CKD-associated morbidity. Development of therapeutics for cardiovascular calcification begins with the premise that less mineral is better. While restoring diseased tissues to a noncalcified homeostasis remains the ultimate goal, in some cases, calcific mineral may play a protective role, such as in atherosclerotic plaques. Therefore, developing treatments for ectopic calcification may require a nuanced approach that considers individual patient risk factors. Here, we discuss the most common cardiac and vascular calcification pathologies observed in CKD, how mineral in these tissues affects function, and the potential outcomes and considerations for therapeutic strategies that seek to disrupt the nucleation and growth of mineral. Finally, we discuss future patient-specific considerations for treating cardiac and vascular calcification in patients with CKD-a population in need of anticalcification therapies.

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 risk for chronic kidney disease in metabolically healthy obese patients: A systematic review and meta-analysis

BACKGROUND

Chronic kidney disease (CKD) is associated with obesity and metabolic syndrome. Nevertheless, the association of CKD with phenotype referred as metabolically healthy obese or overweight is unclear. In this this systematic review and meta-analysis, we investigate the relationships between obesity and CKD independent of metabolic syndrome by appraising published evidence in studies focusing on metabolically healthy obese people.

MATERIALS AND METHODS

We performed a literature search through three databases Embase (Elsevier), the Cochrane Central Register of Controlled Trials (Wiley) and PubMed/Medline Web of Science up to March 2022 with the following terms: "chronic kidney disease", "kidney function", "obesity", "metabolic syndrome", "metabolically healthy obesity", "metabolically healthy overweight". Metabolically unhealthy was defined an individual having at least 3 of the following: abdominal obesity, high blood pressure, hypertriglyceridemia, low HDL cholesterol and hyperglycaemia. We used Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) for reporting. Prospective, retrospective, randomized and nonrandomized studies fitting the search criteria were included in our results.

RESULTS

Our final analysis included 16 studies with a total number of 4.965.285 participants. There is considerable heterogeneity in terms of study design, participant characteristics and number of participants across individual studies. In comparison to healthy normal weight patients, the risk was progressively higher in overweight (RR 1.29, 95% CI 1.27 to 1.32, p < 0.001) and obese patients (RR 1.47, 95% CI 1.31 to 1.65, p < 0.001).

CONCLUSION

Metabolically healthy overweight and obese individuals have higher risk of CKD compared to individuals without weight excess.

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.

Metabolic Syndrome-Related Kidney Injury: A Review and Update

Metabolic syndrome (MetS) includes visceral obesity, hyperglycemia, dyslipidemia, and hypertension. The prevalence of MetS is 20-25%, which is an important risk factor for chronic kidney disease (CKD). MetS causes effects on renal pathophysiology, including glomerular hyperfiltration, RAAS, microalbuminuria, profibrotic factors and podocyte injury. This review compares several criteria of MetS and analyzes their differences. MetS and the pathogenesis of CKD includes insulin resistance, obesity, dyslipidemia, inflammation, oxidative stress, and endothelial dysfunction. The intervention of MetS-related renal damage is the focus of this article and includes controlling body weight, hypertension, hyperglycemia, and hyperlipidemia, requiring all components to meet the criteria. In addition, interventions such as endoplasmic reticulum stress, oxidative stress, gut microbiota, body metabolism, appetite inhibition, podocyte apoptosis, and mesenchymal stem cells are reviewed.

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.

Metabolic Risk Factors Associated With Chronic Kidney Disease in a Middle-Aged and Elderly Taiwanese Population: A Cross-Sectional Study

Background: This study aimed to quantify the proportion of participants with chronic kidney disease (CKD) and associated metabolic risk factors in a middle-aged and elderly population in Guishan District, Taoyuan City, Taiwan. Methods: This cross-sectional study enrolled residents aged 50-90 years living in one community. All participants received a standardized personal interview, including a structured questionnaire, anthropometric measurements, and blood samples collected for laboratory testing. CKD was defined as the presence of kidney damage (urine albumin-creatinine ratio ≥30 mg/g) or estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73 m2. Multiple logistic regression models were used to evaluate the risk factors associated with CKD. Results: A total of 400 participants were enrolled. The overall proportion of participants with CKD was 20.5% (95% confidence interval [CI]: 16.54-24.46%). The proportions of participants with CKD among those aged 50-64, 65-74, and 75 years and over were 17.7, 18.8, and 35.7%, respectively (p = 0.01). Multiple logistic regression model revealed that elevated blood pressure (odds ratio [OR] = 2.23, 95% CI: 1.16-4.30), hyperglycemia (OR = 2.87, 95% CI: 1.64-5.00), hyperuricemia (OR = 1.38, 95% CI: 1.14-1.69), and metabolic syndrome (OR = 2.30, 95% CI: 1.31-4.06) were significantly associated with CKD. Conclusions: The prevalence of CKD in the study population was high. Hypertension, hyperglycemia, hyperuricemia, and metabolic syndrome are significantly associated with CKD in a middle-aged and elderly population in Taiwan.