Association of Risk Estimates of Three Different Cardiovascular Risk Assessment Tools with Carotid Intima Media Thickness in Patients with Type 2 Diabetes

Herath, H. M. M.; Weerarathna, Thilak Priyantha; Dulanjalee, Ranasinghe Bethmi Arachige Thilini; Jayawardana, Madumekala Rupasinghe; Edirisingha, Udara Priyadarshani; Rathnayake, M

doi:10.7860/jcdr/2016/19356.8087

Cited by 4 publications

(3 citation statements)

References 19 publications

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“…The cardiovascular risk scores can estimate the probability of atherosclerotic cardiovascular events in patients with CKD regardless of renal function, albuminuria and previous cardiovascular events [ 57 ]. Herath et al in 2016 found that CVD risk assessment tools, both United Kingdom Prospective Diabetes Study risk engine and Framingham Risk Score have almost equal ability (former being marginally superior) in predicting underlying atherosclerotic vascular disease in patients with type 2 diabetes mellitus (T2DM) [ 58 ]. Nevertheless, in this study, we analysed a different population, who did not have a history of T2DM.…”

Section: Discussionmentioning

confidence: 99%

Prevalence, risk factors and predicted risk of cardiac events in chronic kidney disease of uncertain aetiology in Sri Lanka: A tubular interstitial nephropathy

et al. 2021

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Cardiovascular disease (CVD) is the leading cause of morbidity and mortality in patients with ‘traditional’ chronic kidney disease (CKD). However, chronic kidney disease of uncertain aetiology (CKDu), a tubular interstitial nephropathy is typically minimally proteinuric without high rates of associated hypertension or vascular disease and it is unknown if the rates of CVD are similar. This study aimed to identify the prevalence and the risk of CVD in patients with CKDu. This cross-sectional study included patients with confirmed CKDu who were attending two renal clinics in CKDu endemic-area. A detailed medical history, blood pressure, electrocardiogram (resting and six minutes vigorous walking), echocardiograms, appropriate laboratory parameters and medical record reviews were used to collect data at baseline. The WHO/Pan American Health Organization, cardiovascular risk calculator was employed to determine the future risk of CVD. The clinics had recorded 132 number of patients with CKDu, of these 119 consented to participation in the study. The mean age was 52 (± 9.5) years and mean eGFR was 51.1 (± 27.61); a majority (81.5% (n = 97)) were males. Thirty-four patients (28.6%) had evidence of ischaemic heart disease (IHD). Troponin-I (p = 0.02), Age >50 years (p = 0.01) and hyperuricemia (p = 0.01) were significantly associated with IHD in CKDu. Left ventricular hypertrophy was reported in 20.2% (n = 24). According to the risk calculator, 97% of the enrolled patients were at low risk (<10%) for experiencing a cardiovascular event within the next 10 years. Patients with CKDu have low prevalence and risk for CVD, implying that a majority are likely to survive to reach end-stage kidney disease. Our findings highlight the need for developing strategies to minimize the progression of CKDu to end-stage renal disease.

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Section: Discussionmentioning

confidence: 99%

Prevalence, risk factors and predicted risk of cardiac events in chronic kidney disease of uncertain aetiology in Sri Lanka: A tubular interstitial nephropathy

et al. 2021

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“…Contrastingly, a study which evaluated three cardiovascular risk assessment tools, namely, the WHO/ISH risk score, Framingham risk score and United Kingdom Prospective Diabetes Study risk engine has found that the WHO/ ISH risk score had a negative association (r=−0.07) with subclinical atherosclerosis when compared to the other two risk scores which had positive associations. 17 Therefore, more thorough research is required to confirm the regional risk prediction charts now in use for specific populations at the national and local levels. In spite of commendable preventive health programs on non-communicable diseases in India, the high prevalence of hypertension and diabetes (35.4% and 25.4%) found in our study when compared to national averages may be attributed to the expeditious urbanization process in urban and semi urban areas embracing lifestyle risk factors such as faulty dietary practices, alcohol, tobacco consumption, and physical inactivity.…”

Section: Multivariate Regression Analysismentioning

confidence: 99%

Cardiovascular risk factors and impending 10-year risk of fatal or non-fatal cardiovascular disease events among an urban population in Tamil Nadu state in South India - A community based cross-sectional study

et al. 2023

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Background: Coronary heart disease, peripheral arterial disease, cerebrovascular disease, congenital and rheumatic heart illnesses are among the heart and blood vessel disorders classified as cardiovascular diseases (CVDs). Sudden premature cardiovascular deaths among apparently healthy population can be well prevented by the early recognition of cardiovascular risk factors using validated cardiovascular risk prediction tools. Aims and Objectives: The World Health Organization/international society of hypertension (WHO/ISH) Risk Prediction Charts was utilized to estimate the upcoming 10-year risk of CVD events, and the study’s objectives were to identify the risk factors for high CVD risk among urban residents aged ≥40–79 years in Tamil Nadu State, South India. Materials and Methods: A total of 350 participants were selected for a community-based cross-sectional study using a two-stage selection technique. A pretested questionnaire, anthropometry and laboratory research were used to acquire the required data. Finding the relationship between the risk factors and high CVD risk among the subjects was done using both univariate and multivariate regression analysis. Results: Mean age of subjects was 55.6 years. Hypertensives and diabetics were 35.4% and 27.4%, respectively. An alarming 75.1% subjects were either overweight or obese. The WHO/ISH chart categorized 20.9% subjects with >10% risk of impending CVDs. Risk factors which independently influenced high cardiovascular risk were “being unmarried” (adjusted odds ratio [aOR] 31.76; 95% CI; P=0.009), “positive family history” (aOR 4.13; P=0.017), “Sedentary Occupation” (aOR 3.18; P=0.036), and “alcohol usage” (aOR 3.03; 95% CI [1.06–10.27]; P=0.039). Conclusion: The study has identified that more than one-fifth of the subjects were under the >10% CVD risk category thereby underscoring the immediate need for inclusion of CVD risk scoring tools in routine screening programs in all levels of health care settings as an effective health promotion strategy in curtailing the escalating incidence of CVDs events worldwide.

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“…In line with this, there are discrepant results obtained from many studies, showing that the different CVD risk algorithms have variable precision in different populations when distinguishing subjects who are at high-risk from the other ones [7, 8, 9, 10, 11, 12]. Moreover, a weak concordance between predicted and actual cardiovascular risk was also reported [13].…”

Section: Introductionmentioning

confidence: 99%

Cardiovascular risk estimated by UKPDS risk engine algorithm in diabetes

2018

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AbstractSince there is a high prevalence of type 2 diabetes mellitus (DM2), as well as CVD in Montenegro, we aimed to estimate CVD risk by United Kingdom Prospective Diabetes Study (UKPDS) risk engine algorithm in individuals with DM2. Furthermore, we aimed to explore whether non-traditional biomarker such as high sensitivity C-reactive protein (hsCRP) is superior for CVD risk prediction over old traditional risk factors. A total of 180 participants with DM2 (of them 50% females) were included in the current cross-sectional study. Biochemical and anthropometric parameters, and blood pressure were obtained. More males than females were classified at high UKPDS risk category (p<0.001). Also, about one third of diabetic patients (29.4%) were classified into the high-risk category. In multivariate regression analysis, triglycerides [Odds ratio (OR) =1.703, p=0.001] and creatinine concentration (OR=1.040, p<0.001) were independent predictors of CVD risk, whereas hsCRP was not correlated with CVD risk. HsCRP is not superior for CVD risk prediction by UKPDS risk engine algorithm over high triglyceride and creatinine levels in diabetic population, which suggests that the old traditional markers must not be underestimated when examining CVD risk in population with diabetes.

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Association of Risk Estimates of Three Different Cardiovascular Risk Assessment Tools with Carotid Intima Media Thickness in Patients with Type 2 Diabetes

Cited by 4 publications

References 19 publications

Prevalence, risk factors and predicted risk of cardiac events in chronic kidney disease of uncertain aetiology in Sri Lanka: A tubular interstitial nephropathy

Prevalence, risk factors and predicted risk of cardiac events in chronic kidney disease of uncertain aetiology in Sri Lanka: A tubular interstitial nephropathy

Cardiovascular risk factors and impending 10-year risk of fatal or non-fatal cardiovascular disease events among an urban population in Tamil Nadu state in South India - A community based cross-sectional study

Cardiovascular risk estimated by UKPDS risk engine algorithm in diabetes

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