Sukit Yamwong

A Risk Score for Predicting Incident Diabetes in the Thai Population

OBJECTIVE—The objective of this study was to develop and evaluate a risk score to predict people at high risk of diabetes in Thailand. RESEARCH DESIGN AND METHODS—A Thai cohort of 2,677 individuals, aged 35–55 years, without diabetes at baseline, was resurveyed after 12 years. Logistic regression models were used to identify baseline risk factors that predicted the incidence of diabetes; a simple model that included only those risk factors as significant (P < 0.05) when adjusted for each other was developed. The coefficients from this model were transformed into components of a diabetes score. This score was tested in a Thai validation cohort of a different 2,420 individuals. RESULTS—A total of 361 individuals developed type 2 diabetes in the exploratory cohort during the follow-up period. The significant predictive variables in the simple model were age, BMI, waist circumference, hypertension, and history of diabetes in parents or siblings A cutoff score of 6 of 17 produced the optimal sum of sensitivity (77%) and specificity (60%). The area under the receiver-operating characteristic curve (AUC) was 0.74. Adding impaired fasting glucose or impaired glucose tolerance status to the model slightly increased the AUC to 0.78; adding low HDL cholesterol and/or high triglycerides barely improved the model. The validation cohort demonstrated similar results. CONCLUSIONS—A simple diabetes risk score, based on a set of variables not requiring laboratory tests, can be used for early intervention to delay or prevent the disease in Thailand. Adding impaired fasting glucose or impaired glucose tolerance or triglyceride and HDL cholesterol status to this model only modestly improves the predictive ability.

The impact of different GFR estimating equations on the prevalence of CKD and risk groups in a Southeast Asian cohort using the new KDIGO guidelines

BackgroundRecently, the Kidney Disease: Improving Global Outcomes (KDIGO) group recommended that patients with CKD should be assigned to stages and composite relative risk groups according to GFR (G) and proteinuria (A) criteria. Asians have among the highest rates of ESRD in the world, but establishing the prevalence and prognosis CKD is a problem for Asian populations since there is no consensus on the best GFR estimating (eGFR) equation. We studied the effects of the choice of new Asian and Caucasian eGFR equations on CKD prevalence, stage distribution, and risk categorization using the new KDIGO classification.MethodsThe prevalence of CKD and composite relative risk groups defined by eGFR from with Chronic Kidney Disease-Epidemiology Collaboration (CKD-EPI); standard (S) or Chinese(C) MDRD; Japanese CKD-EPI (J-EPI), Thai GFR (T-GFR) equations were compared in a Thai cohort (n = 5526)ResultsThere was a 7 fold difference in CKD3-5 prevalence between J-EPI and the other Asian eGFR formulae. CKD3-5 prevalence with S-MDRD and CKD-EPI were 2 - 3 folds higher than T-GFR or C-MDRD. The concordance with CKD-EPI to diagnose CKD3-5 was over 90% for T-GFR or C-MDRD, but they only assigned the same CKD stage in 50% of the time. The choice of equation also caused large variations in each composite risk groups especially those with mildly increased risks. Different equations can lead to a reversal of male: female ratios. The variability of different equations is most apparent in older subjects. Stage G3aA1 increased with age and accounted for a large proportion of the differences in CKD3-5 between CKD-EPI, S-MDRD and C-MDRD.ConclusionsCKD prevalence, sex ratios, and KDIGO composite risk groupings varied widely depending on the equation used. More studies are needed to define the best equation for Asian populations.

Abdominal obesity and coronary heart disease in thai men

Objective: To determine the association of four simple anthropometric indices with coronary heart disease (CHD) in Thai men, and to determine the optimal cut‐off points for each index in the prediction of CHD.

Serum Uric Acid Levels in Relation to Bone-Related Phenotypes in Men and Women

Serum uric acid levels have recently been found to be associated with bone mineral density (BMD) in elderly males. The purpose of the present study was to investigate the relationship between bone-related phenotypes and serum uric acid levels in young and middle-aged males and females. Subjects consisted of 1320 males and 485 females aged 25-54 yr. Bone densitometry and quantitative ultrasonometry (QUS) were performed on each subject. Serum uric acid and biochemical markers of bone turnover were measured in fasting serum samples. When adjusted for covariates including age, body weight, and serum creatinine in multiple linear regression models, it was found that there was a positive association between uric acid levels and BMD in males at the lumbar spine (p < 0.05). The association between uric acid levels and BMD was found in females after controlling for age, body weight, and serum creatinine at the femoral neck, but in the opposite direction (p < 0.05). Uric acid levels were related to the stiffness index (SI) as assessed by QUS in males, independent of age, body weight, and serum creatinine (p < 0.05). No association between uric acid and SI in females was found. The present study demonstrated a positive association in males between serum uric acid levels and BMD, and SI from QUS, suggesting a beneficial influence of uric acid on both the quantity and quality of bone in males.

Cohort Profile: The electricity generating authority of Thailand study

During the past 30–40 years, there has been a tremendous increase in the prevalence of cardiovascular disease (CVD), especially in developing countries. The change from an agricultural to an industrial society, and the introduction of new technology, make people less likely to engage in physical activity and more likely to adopt a sedentary lifestyle. Modern medicine has markedly reduced the mortality from infectious disease and has improved human longevity, consequently leading to more deaths from chronic diseases, particularly cancer and CVD. Thailand, a mediumsized middle-income country, is one of those nations that is encountering this epidemiological transition and is anticipated to experience much greater increases in CVD compared with Western countries over the next 20 years. Observational studies in Western populations suggest that the well-established risk factors for CVD (obesity, diabetes mellitus, elevated blood pressure, dyslipidemia and cigarette smoking) account for most of the attributable risk for CVD. But the manifestations of CVD and prevalence of its risk factors are often different among Western and Asian populations. For instance, stroke is much more common among many Asian populations compared with the USA or European Union. Most CVD events are potentially preventable through modification of risk factors. To prioritize the preventive measures for maximum benefit, and influence change, a clear understanding of the attribution of risk factors in the local environment is needed. Consequently, following the model of the Framingham study, the first cohort study of chronic disease in Thailand was set up by a group of cardiologists at Ramathibodi Hospital, Bangkok, in 1985. Their basic aim was to examine the effects of cardiovascular risk factors, as identified by Framingham and other studies, on health in the Thai population, specifically to see if the same risk factors worked in the same way as elsewhere. Due to issues with contacting participants in a general population setting within Thailand, it was decided to site this study within an occupational workforce. Initial funding was provided by Mahidol University, the Thai Heart Association and the Electricity Generating Authority of Thailand (EGAT) corporation. Later, the National Research Council, Thailand Research Fund and Praman Chansue Foundation became major funders.

Arterial stiffness contributes to coronary artery disease risk prediction beyond the traditional risk score (RAMA-EGAT score)

Objectives The traditional risk score (RAMA-EGAT) has been shown to be an accurate scoring system for predicting coronary artery disease (CAD). Arterial stiffness measured by the cardio–ankle vascular index (CAVI) is known to be a marker of atherosclerotic burden. A study was undertaken to determine whether CAVI improves the prediction of CAD beyond the RAMA-EGAT score. Design Cross-sectional study. Patients Patients with a moderate to high risk for CAD by the RAMA-EGAT score were enrolled between November 2005 and March 2006. 64-slice multidetector CT coronary angiography was used to evaluate the coronary artery calcium score and coronary stenosis. Arterial stiffness was assessed by CAVI. Results 1391 patients of median age 59 years (range 31–88) were enrolled in the study, 635 (45.7%) men and 756 (54.3%) women. Of the 1391 patients, 346 (24.87%) had coronary stenosis. There was a correlation between CAVI and the prevalence of coronary stenosis after adjusting for traditional CAD risk factors (OR 3.29). In addition, adding CAVI into the RAMA-EGAT score (modified RAMA-EGAT score) improved the prediction of CAD incidence, increasing C-statistics from 0.72 to 0.85 and resulting in a net reclassification improvement of 27.7% (p<0.0001). Conclusion CAVI is an independent risk predictor for CAD. The addition of CAVI to the RAMA-EGAT score significantly improves the diagnostic yield of CAD.

Prognostic effect of mean platelet volume in patients with coronary artery disease. A systematic review and meta-analysis.

Large platelets with high haemostatic activity may lead to increased platelet aggregation.. Mean platelet volume (MPV), an indicator of platelet reactivity, may emerge as a prognostic marker in patients with coronary artery disease (CAD). It was the objective of this study to conduct a systematic review and meta-analysis to assess prognostic effects of MPV on cardiovascular events (CVE) in CAD patients. We searched MEDLINE and SCOPUS from inception to January 2, 2014. All studies that reported MPV and the incidence of cardiovascular events in CAD patients were included. Two reviewers independently extracted the data. A random-effects model was applied for pooling the mean difference of MPV between patients with vs without CVE. Among 30 eligible studies, eight studies reported mean difference of MPV between CVE groups, 11 studies reported MPV dichotomous into high vs low MPV groups, and 11 studies reported both. The pooled mean difference was 0.69 fL (95 %CI = 0.36, 1.01), i. e. patients with CVE had a MPV about 0.69 fL higher than non-CVE. Patients with higher MPV were about 12 % more likely to die than patients with lower MPV (RR 1.12; 95 %CI = 1.02-1.24). However, pooling these effects was based on high heterogeneity and the source of heterogeneity could not be identified. This might be explained by many differences among included studies (e. g. study population, outcomes of interest, analysate, time between blood collection and MPV analysis, etc). These findings suggest that MPV may be a useful prognostic marker in patients with CAD.

Long-term effects of socioeconomic status on incident hypertension and progression of blood pressure

Objective: Few data have linked socioeconomic status (SES) to incident hypertension, and little information on the relationship between SES and hypertension are available from developing countries. We thus investigated the long-term effects of SES on incident hypertension and changes in blood pressure in Thailand. Methods: In 1985, baseline data were collected from 3499 participants in the Electricity Generating Authority of Thailand study. Participants were re-examined in 1997, 2002 and 2007. Logistic regression models, Cox-proportional hazard models and time-dependent covariates were used to calculate the relationship between SES and prevalent hypertension in 1985, incident hypertension in 1997 and 2007, respectively. Results: The prevalence of hypertension was 20% and the level of income, but not education, was inversely related to prevalent hypertension. Adjusting for several risk factors, compared to those who had tertiary education, participants who had primary education had 30% increased risk of incident hypertension in 1997 [hazard ratio 1.30, 95% confidence interval (CI) 1.09–1.54] and 20% in 2007 (1.20, 1.05–1.37); both P for trend was less than 0.01. Participants who had higher education also had substantially lower increments in SBP and DBP across 22 years (P < 0.0001 for SBP and P = 0.015 for DBP). Level of income was similarly negatively related to the progression of SBP, with a 3.6 mmHg difference between the highest income group and the lowest (P < 0.0001). Conclusion: Hypertensive counseling and surveillance should be emphasized within socioeconomically disadvantaged populations.

Causal relationship between body mass index and fetuin-A level in the asian population: a bidirectional mendelian randomization study

Fetuin‐A is associated with body mass index (BMI) as well as components of the metabolic syndrome. However, it is unclear if fetuin‐A affects BMI or the other way around. We therefore assessed the causal association between fetuin‐A and BMI or vice versa, utilizing a bidirectional Mendelian randomization approach.

Associations Between Serum Lipids and Causes of Mortality in a Cohort of 3499 Urban Thais: The Electricity Generating Authority of Thailand (EGAT) Study

The association between serum lipids and mortality has not previously been established in Thailand. Baseline data from the Electricity Generating Authority of Thailand (EGAT) cohort study, plus a resurvey of the cohort 15 years later were analyzed. Participants were employees of EGAT: 2702 men and 797 women. Total cholesterol (TC), high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C), and triglycerides (TG) were taken as predictive variables; age, sex, hypertension, diabetes, cigarette smoking, alcohol drinking, and body mass index were taken as confounders. Dependent variables were all-causes and specific causes of mortality over 17 years of follow-up. The major cause of death among men was cardiovascular disease (CVD); among women, it was cancer. Relative risks (RR) for specific causes of death, for a mmol/L increase in each lipid, were estimated after adjustment for confounding factors using Cox proportional hazards regression. TC and LDL-C were negatively associated with liver cirrhosis mortality, although it was likely that the low cholesterol concentration was a consequence of the disease. HDL-C was negatively associated with CVD mortality (RR = 0.59; 95% confidence interval [CI], 0.39-0.93), coronary heart disease (CHD) mortality (RR = 0.36; 95% CI, 0.17-0.75) and all cause-mortality (RR = 0.68; 95% CI, 0.54-0.87). TG was not associated with mortality. HDL-C is an important risk factor for CVD in middle-class urban Thais. Health promotion programs to improve lipid profiles, such as effective exercise campaigns and dietary advice, are required to increase HDL-C and to help prevent CVD and premature death in Thailand.