The metabolic syndrome is related to albuminuria in Type 2 diabetes

Waist-to-height ratio is a simple and practical alternative to waist circumference to diagnose metabolic syndrome in type 2 diabetes

BACKGROUND

As an indicator of abdominal obesity, waist circumference (WC) varied with race and gender in diagnosing metabolic syndrome (MetS). Therefore, it is clinically important to find an alternative indicator of abdominal obesity independent of these factors to diagnose MetS. Our aims were to evaluate the association between waist-to-height ratio (WHtR) and MetS and further determine whether WHtR could be used as a simple and practical alternative to WC to diagnose MetS in patients with type 2 diabetes mellitus (T2DM).

METHODS

This cross-sectional, real-world study recruited 8488 hospitalized T2DM patients including 3719 women (43.8%) aged from 18 to 94 years and 4769 men (56.2%) aged from 18 to 91 years. A WHtR cut-off of 0.52 was used to diagnose MetS in both men and women T2DM patients based on our previous study. The association of WHtR with MetS in T2DM patients was analyzed by binary logistic regression. The consistency of two diagnostic criteria for MetS according to WC and WHtR was determined by Kappa test.

RESULTS

The prevalence of MetS according to WHtR was 79.4% in women and 68.6% in men T2DM patients, which was very close to the prevalence of MetS according to WC in both women (82.6%) and men (68.3%). The prevalence of MetS diagnosed by WC in both men and women with WHtR ≥ 0.52 was significantly higher than in those with WHtR < 0.52 after adjustment for age and duration of diabetes (89.2 vs. 38.7% for men; 92.8 vs. 57.4% for women; respectively, all p < 0.001). Binary logistic regression analysis displayed that after adjusting for confounding factors, WHtR was significantly associated with the presence of MetS in both men and women (men: OR = 4.821, 95% CI: 3.949-5.885; women: OR = 3.096, 95% CI: 2.484-3.860; respectively, all p < 0.001). Kappa test revealed that there was an excellent consistency between the diagnosis of MetS based on WC and on WHtR in T2DM patients (men: kappa value = 0.929, 95% CI: 0.918-0.940; women: kappa value = 0.874, 95% CI: 0.854-0.894; total: kappa value = 0.911, 95% CI: 0.901-0.921; respectively, all p < 0.001).

CONCLUSION

WHtR is independently associated with the presence of MetS and can be used as a simple and practical alternative to WC to diagnose MetS regardless of gender in T2DM patients.

Obesity, Metabolic Syndrome and the Risk of Microvascular Complications in Patients with Diabetes mellitus

BACKGROUND

Obesity frequently co-exists with type 2 diabetes mellitus (T2DM), leading to the socalled "diabesity epidemic". The metabolic syndrome (MetS), a cluster of central obesity, hypertension, dysglycemia, insulin resistance and/or atherogenic dyslipidemia, as well as non-alcoholic fatty liver disease (NAFLD), a hepatic manifestation of MetS, has been associated with increased cardiovascular disease (CVD), T2DM and chronic kidney disease (CKD) incidence. However, the association between obesity, MetS (including NAFLD) and diabetic microvascular complications is less evident.

METHODS

The present narrative review discusses the associations of obesity, MetS and NAFLD with diabetic kidney disease (DKD), diabetic retinopathy (DR) and diabetic peripheral neuropathy (DPN) as well as cardiac autonomic neuropathy (CAN). The available data on the effects of lifestyle measures and bariatric surgery on these diabetic complications are also briefly discussed.

RESULTS

Overall, both obesity and MetS have been related to DKD, DR and DPN, although conflicting results exist. Links between NAFLD and diabetic microvascular complications have also been reported but data are still limited. Lifestyle intervention and bariatric surgery may prevent the development and/or progression of these microvascular complications but more evidence is needed.

CONCLUSION

Clinicians should be aware of the frequent co-existence of MetS and/or NAFLD in T2DM patients to prevent or treat these metabolic disorders, thus potentially minimizing the risk for both CVD and diabetic microvascular complications.

Metabolic syndrome and its components are related to a higher risk for albuminuria and proteinuria: Evidence from a meta-analysis on 10,603,067 subjects from 57 studies

BACKGROUND & AIM

Previous studies have explored the relation of metabolic syndrome (MetS), its components and the risk of albuminuria/proteinuria but their results are inconsistent. Then, we aimed to conduct a meta-analysis in order to resolve these controversies.

METHOD

PubMed and Scopus were systematically searched from their inception to 1 march 2018. Risk estimates and their 95% confidence intervals were extracted and pooled using the random-effects approach.

RESULT

A total of 57 studies, 44 studies on albuminuria and 13 studies on proteinuria, with a total sample size of 10,603,067 participants, were included in this meta-analysis. Overall, MetS was contributed to higher risks of proteinuria (OR = 2.08, 95%CI = 1.85-2.34) and albuminuria (OR = 1.92, 95%CI = 1.71-2.15), independent of diabetes status; although, this relationship was more noticeable in studies that used the WHO definition of MetS and in non-East Asian populations. Also, the relationship between MetS and proteinuria was sex independent, while, for albuminuria was significant only in men. MetS components such as obesity, impaired fasting glucose, elevated blood pressure and hypertriglyceridemia were associated with significant increases in proteinuria and albuminuria risk, while lower HDL-Cholesterol was only linked to greater risk of proteinuria. Moreover, the total impact of MetS on proteinuria was more remarkable than each component of the syndrome and an escalating dose-response association was found between the number of MetS components and albuminuria risk.

CONCLUSION

MetS and its components are potential risk factors for albuminuria and proteinuria.

Metabolic syndrome and its components are associated with increased chronic kidney disease risk: Evidence from a meta-analysis on 11 109 003 participants from 66 studies

BACKGROUND & AIMS

Observational studies examining the relationship between metabolic syndrome and the risk of chronic kidney disease (CKD) have reported inconclusive results. This meta-analysis was performed to resolve these controversies.

METHODS

The MEDLINE, EMBASE, and PubMed databases were systematically searched from their inception until March 2016 to identify all relevant studies. Risk estimates and their corresponding 95% confidence intervals (CIs) for the associations of MetS and its components with CKD risk were extracted and pooled using a random-effects model.

RESULTS

A total of 66 studies, including 18 prospective cohorts and 48 cross-sectional studies, with 699 065 CKD patients and 11 109 003 participants were included in the meta-analysis. When all definitions were pooled, the presence of MetS was associated with a significant 50% increase of CKD risk (OR = 1.50, 95% CI = 1.43-1.56), with evidence of moderate heterogeneity (I2  = 72.3%, P < .001). The risk of CKD associated with MetS was higher in studies using the American Heart Association/National Heart, Lung, and Blood Institute criteria (OR = 1.68, 95% CI = 1.25-2.10) compared with those using the Adult Treatment Panel III (OR = 1.49, 95% CI = 1.42-1.56) and the International Diabetes Federation (OR = 1.32, 95% CI = 1.22-1.41) definitions. This relationship was independent of diabetes status. Moreover, all individual components of the MetS were significantly associated with CKD, and their coexistence resulted in an escalating dose-response relationship. The sensitivity and subgroup analyses established the stability of the findings.

CONCLUSIONS

This meta-analysis strongly suggests that the metabolic syndrome and its components are independently associated with the increased risk of CKD.

The Cluster of Abnormalities Related to Metabolic Syndrome Is Associated With Reduced Glomerular Filtration Rate and Raised Albuminuria in Patients With Type 2 Diabetes Mellitus

Background

As association of metabolic syndrome (MS) with chronic kidney disease (CKD) has not been extensively studied in patients with type 2 diabetes, we addressed these issues.

Methods

Intrapersonal means of 12 measurements of waist circumference, blood pressure and high-density lipoprotein (HDL) cholesterol and those of six measurements of fasting triglycerides during 12 months were calculated in a cohort of 168 previously reported Japanese patients with type 2 diabetes. Based on these means, MS was diagnosed according to the modified National Cholesterol Education Program Adult Treatment Panel III criteria with the Asian definition of abdominal obesity. CKD was defined as the presence of low estimated glomerular filtration rate (eGFR < 60 mL/min/1.73 m²), albuminuria (urinary albumin/creatinine ratio (ACR) ≥ 30 mg/g) or both.

Results

Of 168 patients, 77 patients (46 %) had MS and 67 (40 %) had CKD. As the number of MS components increased from 1 through 5, the prevalence of albuminuria (9%, 38%, 30%, 41%, and 50%, P < 0.001), low eGFR (0%, 10%, 24%, 22%, and 50%, P < 0.001) and consequently, CKD increased (9%, 41%, 48%, 52%, and 75%, P < 0.001). Urinary ACR increased and eGFR decreased as a function of the number of MS components. As compared to patients without MS, prevalence of low eGFR (26% vs. 7%, P = 0.001) and CKD (52% vs. 30%, P = 0.005) was higher in patients with MS but prevalence of albuminuria did not differ (36% vs. 27%, P = 0.2).

Conclusion

In Japanese patients with type 2 diabetes, the cluster of abnormalities related to MS was associated not only with higher prevalence of albuminuria, reduced kidney function and hence the increase in CKD but also with corresponding changes in urinary ACR and eGFR.

Insulin resistance is associated with all chronic complications in type 1 diabetes

BACKGROUND

Insulin resistance (IR) is present in type 1 diabetes mellitus (T1DM) and is suggested to be related to chronic diabetic complications. The primary aim of our study was to assess IR in T1DM patients with and without chronic complications. A secondary aim was to evaluate the possible association between IR and chronic diabetic complications.

METHODS

This cross-sectional study enrolled 272 patients with T1DM. Insulin resistance was quantified using the estimated glucose disposal rate (eGDR). Associations between eGDR and each diabetes complication were first evaluated using binary logistic regression, then multiparametric logistic regression with stepwise selection of covariates. The discriminative value of eGDR was assessed by receiver operating characteristic (ROC) curve analysis.

RESULTS

Estimated GDR was lower in patients with chronic diabetic complications (6.1 vs. 6.9 mg/kg per min [P = 0.02] for retinopathy; 6.3 vs. 7.3 mg/kg per min [P < 0.01] for nephropathy; 6.5 vs. 7.6 mg/kg per min [P < 0.01] for neuropathy; and 5.2 vs. 7.5 mg/kg per min [P < 0.01] for cardiovascular complications). In univariate analysis eGDR was associated all diabetic complications. These associations remained significant after adjustment for different variables in the final regression models. In addition, eGDR was a good discriminator for each diabetic complication, with an area under the curve between 0.609 and 0.759.

CONCLUSIONS

Patients with chronic diabetic complications are more insulin resistant than those without complications. Moreover, IR was independently associated with the presence of each chronic diabetic complication, and seems to be a good discriminator for them all.

Circulating anti-Hsp70 levels in nascent metabolic syndrome: the Casale Monferrato Study

The metabolic syndrome (MetS) confers an increased risk of both type 2 diabetes and cardiovascular diseases (CVD). Heat shock protein 70 (Hsp70), an intracellular polypeptide, can be exposed on the plasma membrane and/or released into the circulation, eliciting both native and immune responses that may contribute to vascular damage. Our aim was to assess if serum anti-Hsp70 antibody levels were cross-sectionally associated with uncomplicated MetS. A cross-sectional case-control study from the nondiabetic cohort of the Casale Monferrato Study was performed. Subjects with established CVD and/or abnormal renal function were excluded. Case subjects (n = 180) were defined as those fulfilling the criteria for the diagnosis of MetS. Control subjects (n = 136) were completely free of any component of the MetS. Serum anti-Hsp70 levels were measured by immunoenzymatic assay. We found that anti-Hsp70 antibody levels were significantly higher in cases than in control subjects [122.6 (89.5-155.6) vs 107.1 (77.3-152.4) μg/ml, p = 0.04], even after age and sex adjustment. In logistic regression analysis, higher levels of log-anti-Hsp70 conferred greater odds ratio (OR) for MetS, independently of age and sex. There was a statistically significant trend of ORs across quartiles of anti-Hsp70 and values greater than 108.0 μg/ml conferred a 77% increased OR of MetS as compared with values in the lower quartiles. The strength of the association slightly decreased after further adjustment for apolipoprotein B, smoking, and albumin excretion rate. In conclusion, our results show that serum anti-Hsp70 antibody levels are independently associated with nascent MetS.

Serum uric acid level is associated with metabolic syndrome and microalbuminuria in Korean patients with type 2 diabetes mellitus

AIMS

To determine the relationship between serum uric acid, metabolic syndrome (MetS), and albuminuria in type 2 diabetic patients.

METHODS

A total of 504 Korean patients with type 2 diabetes aged 57.3 years were retrospectively evaluated for clinical histories, anthropometric measurements, and biochemical studies. Urinary albumin excretion (UAE) was measured by a 24-h urine collection.

RESULTS

Prevalence of MetS increased according to the quartiles of uric acid levels (≤3.7, 3.8 to 4.5, 4.6 to 5.5, and >5.5 mg/dl; 52.1%, 52.1%, 57.5%, and 71.6%, respectively, P<.001). Individual components of MetS (abdominal obesity, hypertriglyceridemia, low HDL-cholesterol, high blood pressure) were also significantly associated with the highest quintile of uric acid levels. Serum uric acid levels had significantly increased risk of albuminuria [odds ratio (OR) 1.425, 95% confidence interval (CI) 1.085-1.873] after adjusting for age, gender, and conventional risk factors. Uric acid level remains a significant predictor for abnormal albuminuria after adjusting for MetS presence as well as the use of angiotensin-converting enzyme inhibitor (ACEI) or angiotensin II receptor blocker (ARB) (OR 1.414, 95% CI 1.071-1.868).

CONCLUSION

An elevated uric acid level was significantly associated with MetS and was an independent predictor of albuminuria after adjusting for conventional risk factors and MetS. Regular measurements of uric acid level could give information for predicting the presence of MetS and albuminuria in Korean type 2 diabetic patients.

Preclinical manifestations of organ damage associated with the metabolic syndrome and its factors in outpatient children

BACKGROUND

To evaluate whether the pediatric metabolic syndrome (MetS) or its factors are useful to detect subclinical abnormalities of cardiac, liver, and glomerular damage in an outpatient population.

METHODS

The population study included 799 children (age 10 ± 3 years, mean ± SD), 24% of whom were normalweight, 25% overweight, and 51% obese. Alanine-aminotransferase (ALT) levels, estimated glomerular filtration rate (eGFR) and HOMA-IR were analyzed in all children. Microalbuminuria (MA) and left ventricular (LV) geometry and function were evaluated in 501 and 247 children, respectively. MetS was defined using Cook's criteria.

RESULTS

MetS was diagnosed in 131 children (16%). Children with MetS+ and MetS- were similar for age, gender and Tanner stage distribution. Children with MetS+ showed higher ALT levels (31 ± 19 vs 21 ± 11 IU/L, p<0.0001), LV mass (39 ± 10 vs 34 ± 10 g/h(2.7), p<0.001) and relative wall thickness (0.37 ± 0.06 vs 0.35 ± 0.05, p<0.01) than MetS-. The two groups were similar for MA and eGFR. At multiple logistic regression analysis, children MetS+ showed a higher risk (OR, 95% Cl) adjusted for confounding factors, of high ALT levels (1.71, 1.12-2.59, p=0.012) and concentric LV hypertrophy (2.17, 1.01-4.66, p=0.047) than children MetS-. The risk of preclinical liver and cardiac damage associated with the MetS phenotype was not higher than predicted by its single components.

CONCLUSIONS

Children with MetS show a 2-fold greater risk of having high ALT levels and concentric LV hypertrophy. However, the risk of subclinical manifestations of liver and cardiac damage can be predicted equally well by the single components of the syndrome.

Metabolic syndrome is independently associated with microalbuminuria in type 2 diabetes

We opted in this study to evaluate the association between metabolic syndrome (MetS) and microalbuminuria in type 2 diabetes. A total of 800 adults (344 males; age 54.8 +/- 9.6 years) with type 2 diabetes were studied. MetS was defined by the International Diabetes Federation criteria and microalbuminuria by urinary albumin excretion between 30 and 299 mg/day on at least two of three occasions. Patients with macroalbuminuria and those with poor renal function were not included. Microalbuminuria was present in 237 (29.6%) patients with MetS and increased in prevalence with increasing numbers of metabolic abnormalities (P < 0.001). The normo- and micro-albuminuric groups were not significantly different in age, sex, and renal function. However, MetS was significantly more common among patients with (90.3%) than those without (76.6%) microalbuminuria (P < 0.01). In multivariate regression, MetS was the strongest correlate of microalbuminuria (OR = 3.31, 95% CI = 1.91-5.75; P < 0.01). In conclusion, MetS is independently associated with microalbuminuria in type 2 diabetes.

Microalbuminuria and metabolic risk factors in patients with type 2 diabetes in primary care setting in Thailand

OBJECTIVE

To determine the prevalence of microalbuminuria and associated risk factors in patients with type 2 diabetes in primary care.

METHODS

Clinical information of diabetic patients in 70 primary care units in Thailand was collected in a cross-sectional survey. Multinomial logistic regression model was used to examine several clinical risk factors with microalbuminuria and macroalbuminuria.

RESULTS

A total of 4162 patients were included. The prevalence of microalbuminuria was 39.12% and macroalbumninuria was 7.83%. The proportion of patients with HbA1c<7% was 37.9%. Independent risk factors for microalbuminuria and macroalbuminuria included HbA1c (adjusted OR 1.54, 95%CI 1.30-1.83 and 2.06, 95%CI 1.49-2.84 per unit increase in HbA1c, respectively), triglyceride >/=1.7mmol/L (1.31, 1.11-1.56 and 1.44, 1.06-1.98), hypertension (1.31, 1.10-1.54 and 1.64, 1.23-2.20), and duration of diabetes >/=5 years (1.31, 1.11-1.55 and 2.39, 1.74-3.28). Metabolic syndrome was associated with macroalbuminuria (OR 1.36, 95%CI 1.01-1.84).

CONCLUSION

The high prevalence of microabuminuria and suboptimal glycemic control for the diabetic patients were found to highlight the need to improve in control of glycemia and metabolic risk factors.