The associations of metabolic syndrome with incident hypertension, type 2 diabetes mellitus and chronic kidney disease: a cohort study

Prediction of metabolic syndrome and its associated risk factors in patients with chronic kidney disease using machine learning techniques

INTRODUCTION

Chronic kidney disease (CKD) and metabolic syndrome (MS) are recognized as public health problems which are related to overweight and cardiometabolic factors. The aim of this study was to develop a model to predict MS in people with CKD.

METHODS

This was a prospective cross-sectional study of patients from a reference center in São Luís, MA, Brazil. The sample included adult volunteers classified according to the presence of mild or severe CKD. For MS tracking, the k-nearest neighbors (KNN) classifier algorithm was used with the following inputs: gender, smoking, neck circumference, and waist-to-hip ratio. Results were considered significant at p < 0.05.

RESULTS

A total of 196 adult patients were evaluated with a mean age of 44.73 years, 71.9% female, 69.4% overweight, and 12.24% with CKD. Of the latter, 45.8% had MS, the majority had up to 3 altered metabolic components, and the group with CKD showed statistical significance in: waist circumference, systolic blood pressure, diastolic blood pressure, and fasting blood glucose. The KNN algorithm proved to be a good predictor for MS screening with 79% accuracy and sensitivity and 80% specificity (area under the ROC curve - AUC = 0.79).

CONCLUSION

The KNN algorithm can be used as a low-cost screening method to evaluate the presence of MS in people with CKD.

Prevalence and secular trends in premetabolic syndrome in the United States: Findings from 1999-2020 nationally representative data of adults

PURPOSE

Although Premetabolic syndrome (PeMetSyn) is a precursor for metabolic syndrome (MetSyn), its prevalence and trends are unknown. This study examined the prevalence and trends in PreMetSyn and its association with sociodemographic risk factors in American adults.

METHODS

The 1999-2000 to 2017-2020 United States National Health and Nutritional Health Surveys (NHANES) data were used. PreMetSyn was defined as co-occurrence two cardiometabolic risk factors consisting of abdominal obesity, elevated triglycerides, reduced HDL-C, elevated blood pressure, and fasting plasma glucose. We calculated sex-specific overall prevalence of PreMetSyn and by race/ethnicity, age, education, poverty, and body mass index (BMI) categories. Sex-specific logistic regression models were used to test the association between sociodemographic risk factors and PreMetSyn.

RESULTS

From 1999 - 2000 to 2017-2020, the age-adjusted overall prevalence of PreMetSyn increased by 155.4% (from 9.2% to 23.5%) in men and by 131.3% (from 11.2% to 25.9%) in women. Increases in prevalence of PreMetSyn were observed by race/ethnicity, age, education, poverty and BMI levels in men and women from 1999-2000 to 2017-2020. Survey cycle, race/ethnicity, age, education, poverty-income ratio, and BMI were independently associated with greater odds of PreMetSyn in males and females. During this period, the co-occurrence of abdominal obesity and elevated blood pressure was the most common comorbidity and increased from 20.6% to 30.8% in men and from 27.8% to 36.1% in women.

CONCLUSIONS

This nationally representative study indicates a rapid increase from 1999-2000 to 2017-2020 in the proportion of American adults who meet the criteria for PreMetSyn. Early identification of subjects with PreMetSyn in the U.S. is a public health priority for initiating effective strategies to prevent the development of MetSyn and its associated chronic diseases.

Effect of Physical Activity on Metabolic Syndrome Markers in Adults with Type 2 Diabetes: A Systematic Review and Meta-Analysis

People with Type 2 diabetes mellitus (T2DM) are reported to have a high prevalence of metabolic syndrome (MetS), which increases their risk of cardiovascular events. Our aim was to determine the effect of physical activity (PA) on metabolic syndrome markers in people with T2DM. The study design was a systematic review and meta-analysis of randomised controlled trials evaluating the effect of PA on MetS in adults with T2DM. Relevant databases including SPORTdiscus, Cochrane Central Register of Controlled Trials, CINAHL, MEDLINE, PsycINFO, EMBASE, SocINDEX were searched up to August 2022. Primary endpoints were changes in MetS markers (blood pressure, triglyceride, high-density lipoprotein, fasting blood sugar, and waist circumference) after an exercise intervention. Using a random effect model with 95% confidence interval (CI), the mean difference between intervention groups and control groups were calculated. Twenty-six articles were included in the review. Overall, aerobic exercise had a significant effect on waist circumference (Mean Difference: -0.34 cm, 95% CI: -0.84, -0.05; effect size: 2.29, I² = 10.78%). The effect sizes on blood pressure, triglyceride, high-density lipoprotein, fasting blood sugar were not statistically significant. No significant differences were found between exercise and control group following resistance training. Our findings suggest that aerobic exercise can improve waist circumference in people with T2DM and MetS. However, both aerobic and resistance exercise produced no significant difference in the remaining MetS markers. Larger and higher-quality studies are required to determine the full effects of PA on MetS markers in this population.

Development and validation of a nomogram to estimate future risk of type 2 diabetes mellitus in adults with metabolic syndrome: prospective cohort study

OBJECTIVES

To develop and validate the 4-year risk of type 2 diabetes mellitus among adults with metabolic syndrome.

DESIGN

Retrospective cohort study of a large multicenter cohort with broad validation.

SETTINGS

The derivation cohort was from 32 sites in China and the geographic validation cohort was from Henan population-based cohort study.

RESULTS

568 (17.63) and 53 (18.67%) participants diagnosed diabetes during 4-year follow-up in the developing and validation cohort, separately. Age, gender, body mass index, diastolic blood pressure, fasting plasma glucose and alanine aminotransferase were included in the final model. The area under curve for the training and external validation cohort was 0.824 (95% CI, 0.759-0.889) and 0.732 (95% CI, 0.594-0.871), respectively. Both the internal and external validation have good calibration plot. A nomogram was constructed to predict the probability of diabetes during 4-year follow-up, and on online calculator is also available for a more convenient usage ( https://lucky0708.shinyapps.io/dynnomapp/ ).

CONCLUSION

We developed a simple diagnostic model to predict 4-year risk of type 2 diabetes mellitus among adults with metabolic syndrome, which is also available as web-based tools ( https://lucky0708.shinyapps.io/dynnomapp/ ).

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.

Serum triglyceride levels and incidence of hypertension in a general Japanese population: ISSA-CKD study

The aim of this study was to clarify the relationship between fasting and nonfasting serum triglyceride (TG) levels and the incidence of hypertension in a general Japanese population. We conducted a population-based retrospective cohort study using annual health check-up data of residents of Iki City, Nagasaki Prefecture, Japan. A total of 3202 participants without hypertension at baseline were included in the present analysis. TG levels were classified as quartile 1 (<0.82 mmol/L), quartile 2 (0.83-1.13 mmol/L), quartile 3 (1.14-1.70 mmol/L) and quartile 4 (≥1.71 mmol/L) for men, and as quartile 1 (<0.70 mmol/L), quartile 2 (0.71-0.96 mmol/L), quartile 3 (0.97-1.34 mmol/L) and quartile 4 (≥1.35 mmol/L) for women. The outcome was incident hypertension. During an average follow-up of 4.4 years, 983 participants developed hypertension, according to the Cox proportional hazards model. The annual incidence of hypertension increased with an elevation in TG levels for men (5.88% in quartile 1, 8.30% in quartile 2, 7.62% in quartile 3, and 9.82% in quartile 4). This association was significant, even after adjustment for other risk factors: hazard ratio 1.41 [95% CI 1.07-1.85] for quartile 2, 1.30 [0.99-1.71] for quartile 3, and 1.59 [1.22-2.08] for quartile 4 compared with quartile 1 (p = 0.041 for trend). In contrast, there was no clear association between serum TG levels and the incidence of hypertension after adjustment for confounding factors among women (p = 0.240 for trend). High levels of serum TG were associated with the future incidence of hypertension in a general population of Japanese men but were not associated with that in women. Casual serum triglyceride levels and incidence of hypertension in a general Japanese population: ISSA-CKD study.

Association between metabolic syndrome and uric acid: a systematic review and meta-analysis

This systematic review and meta-analysis aim to provide the best evidence on the association between metabolic syndrome (MetS) and uric acid (UA) by determining the size of the effect of this biomarker on MetS. The review protocol is registered with PROSPERO (CRD42021231124). The search covered the PubMed and Scopus databases. Methodological quality was assessed with the STROBE tool, overall risk of bias with RevMan (Cochrane Collaboration) and quality of evidence with Grade Pro. Initially, 1582 articles were identified. Then, after excluding duplicates and reviewing titles and abstracts, 1529 articles were excluded from applying the eligibility criteria. We included 43 papers (56 groups) comparing UA concentrations between subjects 91,845 with MetS and 259,931 controls. Subjects with MetS had a higher mean UA of 0.57 mg/dl (95% CI 0.54-0.61) (p < 0.00001). Given the heterogeneity of the included studies, the researchers decided to perform subgroups analysis. Men with MetS have a higher UA concentration mg/dl 0.53 (95% CI 0.45-0.62, p < 0.00001) and women with MetS 0.57 (95% CI 0.48-0.66, p < 0.00001) compared to subjects without MetS. Assessment of UA concentration could provide a new avenue for early diagnosis of MetS, as a new biomarker and the possibility of new therapeutic targets.

Analysis of Clinical Characteristics and Influencing Factors for H-Type Hypertension Complicated with Other Chronic Diseases in a Community in Beijing

Objective. The aim of the study is to analyze the clinical characteristics of patients with H-type hypertension complicated with other chronic diseases in a community in Beijing and to explore the influencing factors related to the occurrence of the disease by means of a case-control study. Methods. A questionnaire was designed. 362 residents with H-type hypertension in a community in Beijing were randomly enrolled from January 2020 to December 2021. The general data and clinical indexes of the patients were collected and their clinical characteristics were analyzed. According to the complications of other chronic diseases, they were divided into the simple hypertension group (n = 65) and the other chronic disease group (n = 297). Univariate and multivariate analyses were used to analyze the influencing factors for H-type hypertension patients with other chronic diseases. Results. Among the 362 H-type hypertension patients, 21 cases were aged 35–45 years, 35 cases were aged 45–55 years, and 127 cases were aged 55–65 years. The number of patients aged ≥65 years was 179, and the number of patients aged ≥55 years accounted for the highest proportion with a constituent ratio of 85.00%. Only 65 patients were patients with simple hypertension. The remaining 297 patients were complicated with different kinds of chronic diseases. The types of chronic diseases include malignant tumors, diabetes, rheumatoid arthritis, coronary heart disease, asthma, chronic obstructive pulmonary disease, systemic lupus erythematosus, and stroke. The proportion of H-type hypertension complicated with coronary heart disease, diabetes, and stroke is higher. Among the 297 patients, most of them were local, resident, and nonagricultural patients with a constituent ratio of 89.90%, 95.96%, and 98.98%, respectively. The prevalence rate of the male was 59.60% higher than that of the female at 40.40%. The blood types B and AB were more common. 90.57% of patients were married and the proportion of body mass index (BMI) was 45.79%. 60.61% of patients had a history of smoking, 55.56% had a history of drinking, 35.02% had a regular physical examination, 14.81% had regular exercise, and 37.71% had a light diet. There were significant differences in marital status, smoking, alcohol consumption, regular exercise, and light diet between the simple hypertension group and the chronic disease group ( $P<0.05$ ). The results of the logistic regression analysis showed that smoking, drinking, little exercise, and not eating lightly were the independent risk factors for other chronic diseases ( $P<0.05$ ). Conclusion. The incidence of H-type hypertension is higher in people ≥55 years old. Most of them are accompanied by three other chronic diseases: smoking, drinking, little exercise, and no light diet are also risk factors for chronic diseases.

Dyslipidemia Increases the Risk of Incident Hypertension in a Large Taiwanese Population Follow-Up Study

Dyslipidemia is an important risk factor for hypertension and is strongly associated with an elevated risk of cardiovascular diseases including atherosclerosis and stroke. In this study, we investigated correlations between lipid profiles, including triglycerides, total cholesterol (Chol), high-and low-density lipoprotein cholesterol (HDL-C/LDL-C), and Chol/HDL-C, and baseline and incident hypertension. A total of 26,965 subjects with 4 years of follow-up data were enrolled from the Taiwan Biobank. In the cross-sectional cohort, associations between the prevalence of hypertension and lipid profiles were examined in all study participants (n = 26,965). In the longitudinal cohort, these associations were further assessed in the participants without baseline hypertension (n = 21,454). Multivariable analysis revealed that those in the second quartile (Q2) of triglycerides (compared to Q1; odds ratio (OR), 1.402; p < 0.001); Q3 of triglycerides (compared to Q1; OR, 1.365; p < 0.001); Q4 of triglycerides (compared to Q1; OR, 1.617; p < 0.001); Q3 of HDL-C (compared to Q1; OR, 0.886; p = 0.042); Q4 of HDL-C (compared to Q1; OR, 0.819; p = 0.002); Q2 of Chol/HDL-C (compared to Q1; OR, 1.144; p = 0.042); Q3 of Chol/HDL-C (compared to Q1; OR, 1.149; p = 0.034); and Q4 of Chol/HDL-C (compared to Q1; OR, 1.225; p = 0.002) were significantly associated with incident hypertension. In summary, high Chol/HDL-C, low HDL-C, and high triglycerides were associated with a higher risk of incident hypertension in the enrolled Taiwanese participants.

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.

A Cross-Sectional Study of the Association Between Chronic Oral Disease Burden and Serum Biomarkers in Kidney Transplant Recipients

INTRODUCTION

Poor oral health can negatively affect general health and quality of life of kidney transplant recipients. The study aimed to investigate the association between chronic oral disease burden, serum biomarkers, and comorbidities in kidney transplant recipients.

DESIGN

A cross-sectional comparative study was conducted with 44 patients after kidney transplant. The burden of chronic oral disease was composed of the following observable variables: moderate periodontitis and presence of dental caries. Serum biomarkers and comorbidities data were collected. The chi-square or Fisher's exact tests for categorical variables and Student's t-test or Mann-Whitney test for continuous variables were used. Robust Poisson regression was used to model the association.

RESULTS

Higher levels of mean uric acid (P = .01) and creatinine (P = .03) were observed in the group of patients with oral disease burden, while the highest level of high-density lipoprotein was observed in the group without oral disease. Higher values of uric acid were associated with the occurrence of chronic oral disease burden (Adjusted PR = 1.24, 95% CI: 1.03-1.48, P = .019). There was no statistical difference between the groups with and without oral disease burden in comorbidities present.

CONCLUSION

The findings suggest that chronic oral diseases burden can be associated with uric acid and creatinine levels in kidney transplant recipients.

Insulin resistance, metabolic syndrome, and blood pressure progression among Blacks: the Jackson Heart Study

OBJECTIVE

There is a paucity of data on the relations of insulin resistance with incident blood pressure (BP) changes among Blacks. We investigated the associations of insulin resistance and metabolic syndrome (MetS) with BP progression in a community-based sample of African Americans.

METHODS

We analyzed 1064 participants without hypertension at baseline (2000-2004) who attended at least one follow-up visit in 2005-2008 or 2009-2013. Four insulin resistance indices [fasting insulin, insulin-to-glucose ratio (IGR), homeostasis model assessment of insulin resistance (HOMA-IR), and quantitative insulin sensitivity check index (QUICKI)] and MetS (excluding hypertension in the definition) were assessed at baseline. Robust Poisson regression was used to generate risk ratios (RRs) and 95% confidence intervals (CI) for BP progression and incident hypertension.

RESULTS

Over a median of 7 years, 69.6% progressed to a higher BP category and 62.7% developed hypertension. After multivariable adjustment, participants in the highest quartile of HOMA-IR had higher risks of BP progression [RR 1.25 (95% CI 1.09-1.43), Ptrend = 0.004] and hypertension [RR 1.35 (95% CI 1.16-1.58), Ptrend < 0.001] compared with those in the lowest quartile. A similar positive association of insulin resistance with BP outcomes was noted with insulin resistance assessed using IGR, fasting insulin, and QUICKI. MetS was associated with increased risks of BP progression [RR 1.15 (95% CI 1.02-1.30), P = 0.02] and incident hypertension [RR 1.23 [95% CI 1.08-1.41], P = 0.002]. These associations were present across baseline BP categories.

CONCLUSION

Our findings support the notion that higher insulin resistance levels are associated with greater risks of BP progression and incident hypertension among Blacks.

Association between metabolic syndrome and incident chronic kidney disease among Chinese: A nation-wide cohort study and updated meta-analysis

AIMS

We prospectively examined the relationship between metabolic syndrome (MetS) and incident chronic kidney disease (CKD) among middle-aged and elderly Chinese, and conducted a systematic review and meta-analysis of all cohort studies on this topic.

MATERIALS AND METHODS

Our research data were derived from the China Health and Retirement Longitudinal Study. Participants (n=5752, age ≥45 years) without CKD (defined as estimated glomerular filtration rate <60 ml/min/1.73m² ) at baseline were followed up for 4 years. We applied logistic regressions to examine the association of MetS with incident CKD. In addition, we pooled our effect estimates and those from previous cohort studies in the meta-analysis.

RESULTS

In a 4-years follow-up, 61 (4.27%) developed CKD in participants with MetS versus 102 (2.36%) in participants without MetS. After adjustment for potential confounders, odds ratio for incident CKD was 1.82 [95% confidence interval (95% CI): 1.19-2.78] comparing participants with MetS with those without MetS. There was a linear positive association between the number of MetS components and incident CKD (p for trend <0.001). In the updated meta-analysis of 25 studies among 350,655 participants with 29,368 incident cases of CKD, the pooled relative risk of developing CKD in participants with MetS was 1.34 (95% CI: 1.28-1.39), compared with those without MetS.

CONCLUSIONS

Individuals with MetS had higher risk of incident CKD in middle-aged and elderly Chinese adults, which was supported by a comprehensive review of cohort studies from multiple populations. It may be advisable to routinely monitor renal functions among individuals with MetS.

Pre-Metabolic Syndrome and Incidence of Type 2 Diabetes and Hypertension: From the Korean Genome and Epidemiology Study

The aim of this study was to investigate the prevalence of premetabolic syndrome (pre-MetSyn) and its components and to longitudinally examine their association with new-onset type 2 diabetes (T2D) or hypertension. A total of 4037 men and 4400 women aged 40 to 69 years were selected from the Korean Genome and Epidemiology Study, observed from 2001 to 2014. Pre-MetSyn was defined as the presence of one or two components of MetSyn (B, elevated blood pressure; G, elevated glucose; H, low HDL-cholesterol; T, elevated triglycerides; W, increased waist circumference). The prevalence of pre-MetSyn was higher than that of non-MetSyn and MetSyn in both men and women. In multivariate Cox regression analyses, G, T, G+T, W+G, B+G, B+T, W+T, B+H, and H+T in men and G, T, G+H, B+T, and H+T in women were significantly associated with new-onset T2D. B, W, B+H, B+T, W+H, and W+T in men and B, B+T, B+H, B+W, and W+H in women were significantly associated with new-onset hypertension. The prevalence of pre-MetSyn components and their associations with new-onset T2D or hypertension differed according to sex and disease. Our results suggest that specific phenotypes of pre-MetSyn may be important factors for predicting and preventing the development of T2D and hypertension.

Relationship between casual serum triglyceride levels and the development of hypertension in Japanese

OBJECTIVE

The purpose of the present study was to investigate the effects of serum triglyceride levels on the risk of new-onset hypertension in Japanese.

METHODS

Five thousand nine hundred and thirty-three Japanese workers without hypertension at baseline, who participated in medical check-ups from 2006 to 2018, were followed retrospectively. The participants were divided into quartiles of casual serum triglyceride levels and were followed from the first to last visit of the study period. The outcome was development of hypertension. Risk estimates were computed using Cox's proportional hazards model.

RESULTS

During the follow-up period (average: 6.7 years), 946 individuals developed hypertension. The crude incidence rates of hypertension (per 1000 person-years) increased with rising serum triglyceride levels: 10.1 for quartile 1 (<0.76 mmol/l), 19.6 for quartile 2 (0.76-1.17 mmol/l), 26.0 for quartile 3 (1.18-1.84 mmol/l), and 36.5 for quartile 4 (>1.84 mmol/l) (P < 0.0001 for trend). These associations remained significant even after adjustment for other risk factors: the multivariable-adjusted hazard ratio was 1.29 (1.01-1.66) for the second quartile, 1.27 (0.99-1.63) for the third quartile, and 1.39 (1.09-1.77) for the highest quartile compared with the lowest. There were comparable effects of serum triglyceride levels for incidence of hypertension between subgroups defined by sex, obesity, and diabetes (all P > 0.1 for interaction), whereas stronger associations were observed for participants under 40 years of age than for those aged 40 or above (P = 0.002 for interaction).

CONCLUSION

Serum triglyceride levels were significantly associated with development of hypertension in a Japanese worksite population.

The Association between Metabolic Syndrome and Elevated Alanine Aminotransferase Levels in an Indigenous Population in Northern Taiwan: A Community-Based and Cross-Sectional Study

Our study aims to determine the prevalence of metabolic syndrome (MetS) among the Northern Taiwanese indigenous population and to explore the relationship between MetS and liver enzyme, especially serum alanine transaminase (ALT). This is an observational and cross-sectional study that was conducted in remote villages of an indigenous community in Northern Taiwan between 2010 and 2015. MetS was defined based on the revised NCEP/ATPIII criteria from Taiwan Health Promotion Administration. A total of 454 participants were included in the analysis. There were 277 people with MetS and 177 people without. The prevalence of MetS was 61.01%. The average age was 49.50 years. People with MetS had a significantly higher liver enzyme (ALT) level than those without MetS. In addition, the study showed that participants with higher ALT had a tendency towards a higher prevalence of MetS (76.7% vs. 57.3%, p = 0.001). The adjusted odds ratio (OR) of ALT levels >36 U/L for MetS was 2.79 (95% CI = 1.24–6.27, p = 0.01). The area under the ROC curve (AUC) of the ALT level was 0.63 (95% CI = 0.58–0.68, p < 0.001), which showed that the ALT level was positively associated with MetS. The overall prevalence of MetS was 61.01% in the highland indigenous population in Northern Taiwan; this study indicated that higher serum ALT levels were associated with an increased risk of MetS.

Development of an Online Health Care Assessment for Preventive Medicine: A Machine Learning Approach

BACKGROUND

In the era of information explosion, the use of the internet to assist with clinical practice and diagnosis has become a cutting-edge area of research. The application of medical informatics allows patients to be aware of their clinical conditions, which may contribute toward the prevention of several chronic diseases and disorders.

OBJECTIVE

In this study, we applied machine learning techniques to construct a medical database system from electronic medical records (EMRs) of subjects who have undergone health examination. This system aims to provide online self-health evaluation to clinicians and patients worldwide, enabling personalized health and preventive health.

METHODS

We built a medical database system based on the literature, and data preprocessing and cleaning were performed for the database. We utilized both supervised and unsupervised machine learning technology to analyze the EMR data to establish prediction models. The models with EMR databases were then applied to the internet platform.

RESULTS

The validation data were used to validate the online diagnosis prediction system. The accuracy of the prediction model for metabolic syndrome reached 91%, and the area under the receiver operating characteristic (ROC) curve was 0.904 in this system. For chronic kidney disease, the prediction accuracy of the model reached 94.7%, and the area under the ROC curve (AUC) was 0.982. In addition, the system also provided disease diagnosis visualization via clustering, allowing users to check their outcome compared with those in the medical database, enabling increased awareness for a healthier lifestyle.

CONCLUSIONS

Our web-based health care machine learning system allowed users to access online diagnosis predictions and provided a health examination report. Users could understand and review their health status accordingly. In the future, we aim to connect hospitals worldwide with our platform, so that health care practitioners can make diagnoses or provide patient education to remote patients. This platform can increase the value of preventive medicine and telemedicine.

The emerging role of dyslipidemia in diabetic microvascular complications

PURPOSE OF REVIEW

To summarize recent advancements in our understanding of the impact of dyslipidemia on microvascular complications in type 2 diabetes (T2D), with an emphasis on peripheral neuropathy and nephropathy.

RECENT FINDINGS

Mounting evidence suggests that rigorous glycemic control only mitigates certain microvascular complications in T2D patients. Particularly, well regulated blood glucose levels only marginally improve peripheral neuropathy in the T2D setting. Dyslipidemia, an abnormal lipid profile, is emerging as a key factor in peripheral neuropathy. Furthermore, although glycemic control may prevent or slow nephropathy, recent developments demonstrate that dyslipidemia can also affect kidney outcomes in normoglycemic patients. Transcriptomic, epigenomic, and lipidomic investigations, as well as integrative approaches, are shedding light on potential pathomechanisms. These molecular studies are identifying possible targets for therapeutic intervention. Complementing molecular research, lifestyle interventions are on-going to assess whether dietary choices and/or exercise, weight-loss, or surgical interventions, such as bariatric surgery, can ameliorate peripheral neuropathy and nephropathy in T2D patients.

SUMMARY

Dyslipidemia is an emerging mechanism in microvascular complications in T2D. Elucidating the molecular pathomechanisms may pinpoint potential lipid-centric treatments. Interventional studies of dietary changes, exercise, or weight-loss surgery may also positively impact these highly prevalent and morbid complications.

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.

Noninvasive and Convenient Screening of Metabolic Syndrome Using the Controlled Attenuation Parameter Technology: An Evaluation Based on Self-Paid Health Examination Participants

Background: There is a medical need for an easy, fast, and non-invasive method for metabolic syndrome (MetS) screening. This study aimed to assess the ability of FibroScan to detect MetS, in participants who underwent a self-paid health examination. Methods: A retrospective cohort study was conducted on all adults who underwent a self-paid health examination comprising of an abdominal transient elastography inspection using FibroScan 502 Touch from March 2015 to February 2019. FibroScan can assess the level of liver fibrosis by using a liver stiffness score, and the level of liver steatosis by using the controlled attenuation parameter (CAP) score. The logistic regression analysis and receiver operating characteristic curve were applied to select significant predictors and assess their predictability. A final model that included all significant predictors that are found by univariate analysis, and a convenient model that excluded all invasive parameters were created. Results: Of 1983 participants, 13.6% had a physical status that fulfilled MetS criteria. The results showed that the CAP score solely could achieve an area under the curve (AUC) of 0.79 (0.76–0.82) in predicting MetS, and the AUC can be improved to 0.88 (0.85–0.90) in the final model. An AUC of 0.85 (0.83–0.88) in predicting MetS was obtained in the convenient model, which includes only 4 parameters (CAP score, gender, age, and BMI). A panel of predictability indices (the ranges of sensitivity, specificity, positive and negative likelihood ratio: 0.78–0.89, 0.66–0.82, 2.64–4.47, and 0.17–0.26) concerning gender- and BMI-specific CAP cut-off values (range: 191.65–564.95) were presented for practical reference. Conclusions: Two prediction systems were proposed for identifying individuals with a physical status that fulfilled the MetS criteria, and a panel of predictability indices was presented for practical reference. Both systems had moderate predictive performance. The findings suggested that FibroScan evaluation is appropriate as a first-line MetS screening; however, the variation in prediction performance of such systems among groups with varying metabolic derangements warrants further studies in the future.

[Association of metabolic syndrome with chronic kidney disease in premenopausal and postmenopausal women]

OBJECTIVE

To explore the relationship between metabolic syndrome (MS) and the risk for chronic kidney disease (CKD) in premenopausal and postmenopausal women.

METHODS

We conducted a cross-sectional study among 1346 community-based women from June to October 2012 and collected the data of personal history, lifestyle, physical measures and laboratory indicators. The diagnosis of CKD was established for an eGFR of less than 60 mL/min per 1.73 m² or albuminuria. The diagnosis of metabolic syndrome was based on the International Diabetes Federation Guide. According to an epidemiological survey in Guangdong province, women older than 48.9 years were classified as having a postmenopausal status. The prevalence of MS and CKD was determined in both the premenopausal and postmenopausal women, and the association between MS and CKD was analyzed using logistic regression models.

RESULTS

MS was significantly correlated with CKD in premenopausal women in both unadjusted analyses (OR=3.10, 95% CI: 1.32-7.28, P=0.009) and in analysis after adjustment for potential confounders (OR=4.09, 95% CI: 1.63- 10.32, P=0.003). When adjusted for diabetes, hypertension, and hyperuricemia, no correlation was found between MS and CKD in premenopausal women (OR=1.56, 95% CI: 0.31-7.63, P= 0.592); in the unadjusted analyses, MS was significantly correlated with CKD in postmenopausal women (P &lt; 0.001). After further adjustment for age, education status, current smoking, physical inactivity, and current drinking, MS was still significantly correlated with CKD (OR=2.60, 95% CI: 1.69-3.99, P &lt; 0.001). When adjusted for diabetes, hypertension, and hyperuricemia, the correlation between MS and CKD was still significant (OR=1.61, 95% CI: 1.09-2.37, P=0.018). In the unadjusted model, a high blood pressure (OR=2.77, 95%CI: 1.57-4.89, P &lt; 0.001), an elevated serum triglyceride level (OR=1.84, 95%CI: 1.16-2.90, P=0.009) and a high fast glucose level (OR=2.07, 95%CI: 1.30-3.28, P=0.002) were all significantly correlated with CKD in postmenopausal women. After adjusting for age, current smoking, current alcohol use, education status and physical inactivity, a high blood pressure (OR=2.28, 95%CI: 1.22-4.26, P=0.01), a high serum triglyceride level (OR=1.71, 95%CI: 1.03-2.86, P=0.039) and a high fast glucose (OR=2.25, 95%CI: 1.36-3.73, P=0.002) were still significantly correlated with CKD in postmenopausal women. Blood pressure, serum triglyceride level, fast glucose, serum HDL cholesterol level and central obesity were not correlated with CKD in either the unadjusted model or adjusted model in premenopausal women (P &gt; 0.05).

CONCLUSIONS

MS is correlated with CKD in both premenopausal and postmenopausal women, and the association is dependent on diabetes, hypertension, and hyperuricemia in premenopausal women but not in postmenopausal women.

The metabolic syndrome and its components are differentially associated with chronic diseases in a high-risk population of 350 000 adults: A cross-sectional study

AIMS

We compared strengths of associations conferred by the metabolic syndrome (MetS) and its components across four chronic disease categories (cancer, cardiovascular diseases [CVDs], chronic kidney disease [CKD], and chronic obstructive pulmonary disease [COPD]) in a community-dwelling high-risk population.

METHODS

This is a cross-sectional analysis of Israeli adults insured in a single health maintenance organization during 2010 to 2013 and having greater than or equal to two MetS components (hypertension, dysglycemia, low high-density lipoprotein level, high plasma triglyceride level, and obesity). Data regarding MetS components, chronic disease prevalence, and sociodemographic variables were retrieved from electronic health records and disease registries.

RESULTS

Among 347 244 eligible members, 54.2% had MetS. MetS was negatively associated with cancer, (prevalence ratio [PR] = 0.86; 95% confidence interval, 0.79-0.93) and positively associated with CKD (PR = 1.07, [1.01-1.13]). Some MetS components conferred different associations across the chronic diseases: a high triglyceride level was positively associated with cancer (PR = 1.15, 1.12-1.18) and CKD (PR = 1.37, 1.32-1.41) but negatively associated with CVD (PR = 0.88, 0.86-0.90) and COPD (PR = 0.93, 0.88-0.98). In the presence of MetS, those with dysglycemia had higher cancer prevalence than those with normoglycemia (PR-interaction MetS*dysglycemia on cancer = 1.14, 1.06-1.22). Likewise, in the presence of MetS, men were more likely than women to present with CVD (PR-interaction MetS*sex on CVD = 1.12, [1.05-1.20]).

CONCLUSIONS

Prevalences of the MetS and MetS components distribute unequally across four chronic diseases. MetS including dysglycemia may warrant screening for cancer, and MetS in males may indicate the presence of CVD. Longitudinal studies may reveal if MetS is associated with different risks or merely indicates better prognosis once having a chronic illness.

Aerobic interval exercise improves renal functionality and affects mineral metabolism in obese Zucker rats

Obesity, metabolic syndrome, and renal injury are considered risk factors for type 2 diabetes, as well as kidney disease. Functional and structural changes in the kidney as consequence of obesity and metabolic syndrome may lead to impaired mineral metabolism in what is known as chronic kidney disease-mineral and bone disorder. Lifestyle interventions such as physical activity are good strategies to manage these pathologies and therefore, prevent the loss of kidney functionality and related complications in mineral metabolism. In this study, we have used 40 male Zucker rats that were randomly allocated into four different experimental groups, two of them (an obese and a lean one) performed an aerobic interval training protocol, and the other two groups were sedentary. At the end of the experimental period (8 wk), urine, plasma, and femur were collected for biochemical and mineral composition analysis, whereas the kidney was processed for histological studies. The obese rats exhibited albuminuria, glomerulosclerosis, and hypertrophy in glomeruli and renal tubule in some areas, together with alterations in mineral content of plasma but not of femur. The training protocol prevented the generation of albuminuria and glomerulosclerosis, showing a significant action on plasma and bone mineral levels. Therefore, the specific training protocol used in this study was able to prevent the development of diabetic nephropathy and affected the metabolism of certain minerals.

Metabolic Syndrome Is Associated With Rapid Estimated Glomerular Filtration Rate Decline In A Chinese Community-Based Population

PURPOSE

This study aimed to determine the relationship between the metabolic syndrome (MetS) and rapid estimated glomerular filtration rate (eGFR) decline in a Chinese community-based population.

PATIENTS AND METHODS

A total of 3108 participants were recruited between December 2011 and July 2014 from an observational study cohort designed for the study of atherosclerotic diseases in Beijing, China. The outcome was a rapid eGFR decline. Subgroup and interaction analyses were performed with respect to a number of covariates.

RESULTS

Over a median follow-up period of 2.34 (IQR: 2.29-2.41) years, the overall incidence of rapid eGFR decline was 7.24%. We found that the MetS was significantly associated with the risk of rapid eGFR decline (odds ratio [OR]=1.69, 95% confidence interval [CI]: 1.28-2.23, p<0.001) in a model adjusted for age, sex, and eGFR, and this relationship remained significant after adjustment for smoking, drinking, and low-density lipoprotein-cholesterol (OR=1.78, 95% CI: 1.34-2.35, p<0.001). Waist circumference (OR=1.38, 95% CI: 1.04-1.83, p=0.027), triglycerides (OR=1.40, 95% CI: 1.05-1.86, p=0.022), blood pressure (OR=2.05, 95% CI: 1.49-2.82, p<0.001), and fasting plasma glucose (OR=2.12, 95% CI: 1.57-2.85, p<0.001), but not high-density lipoprotein-cholesterol (OR=1.26, 95% CI: 0.94-1.69, p=0.117), were positively associated with the risk of rapid eGFR decline. Similarly, an increase in the number of MetS components present was associated with an increase in the risk of rapid eGFR decline. Furthermore, this association was modified by smoking status (OR=3.78, 95% CI: 1.68-8.49, p-interaction=0.030).

CONCLUSION

The MetS independently predicted rapid eGFR decline in a Chinese community-based cohort recruited for the study of atherosclerosis. The relationship between the MetS and the risk of rapid eGFR decline was modified by smoking status.

ADRB3 Gene Trp64Arg Polymorphism and Essential Hypertension: A Meta-Analysis Including 9,555 Subjects

Background: Presence of the β3-Adrenergic receptor (ADRB3) gene Trp64Arg (T64A) polymorphism may be associated with an increased susceptibility for essential hypertension (EH). A clear consensus, however, has yet to be reached.

Objective and methods: To further elucidate the relationship between the ADRB3 gene Trp64Arg polymorphism and EH, a meta-analysis of 9,555 subjects aggregated from 16 individual studies was performed. The combined odds ratios (ORs) and their corresponding 95% confidence intervals (CI) were evaluated using either a random or fixed effect model.

Results: We found a marginally significant association between ADRB3 gene Trp64Arg polymorphism and EH in the whole population under the additive genetic model (OR: 1.200, 95% CI: 1.00–1.43, P = 0.049). Association within the Chinese subgroup, however, was significant under allelic (OR: 1.150, 95% CI: 1.002–1.320, P = 0.046), dominant (OR: 1.213, 95% CI: 1.005–1.464, P = 0.044), heterozygous (OR: 1.430, 95% CI:1.040–1.970, P = 0.03), and additive genetic models (OR: 1.280, 95% CI: 1.030–1.580, P = 0.02). A significant association was also found in the Caucasian subgroup under allelic (OR: 1.850, 95% CI: 1. 260–2.720, P = 0.002), dominant (OR: 2.004, 95% CI: 1.316–3.052, P = 0.001), heterozygous (OR: 2.220, 95% CI: 1.450–3.400, P = 0.0002), and additive genetic models (OR: 2.000, 95% CI: 1. 330–3.010, P = 0.0009).

Conclusions: The presence of the ADRB3 gene Trp64Arg polymorphism is positively associated with EH, especially in the Chinese and Caucasian population. The Arg allele carriers of ADRB3 gene Trp64Arg polymorphism may be at an increased risk for developing EH.