Application of a fuzzy unit hypercube in cardiovascular risk classification

2019 ◽  
Vol 23 (23) ◽  
pp. 12521-12527
Author(s):  
Geoffrey O. Barini ◽  
Livingstone M. Ngoo ◽  
Ronald W. Mwangi
Keyword(s):  
Cardiovascular Risk ◽  
Risk Classification ◽  
Unit Hypercube

scholarly journals Estimation of cardiovascular risk based on total cholesterol versus total cholesterol/high-density lipoprotein within different ethnic groups: The HELIUS study

2019 ◽  
Vol 26 (17) ◽  
pp. 1888-1896 ◽  
Author(s):  
Wilco Perini ◽  
Marieke B Snijder ◽  
Ron J Peters ◽  
Anton E Kunst ◽  
Irene G van Valkengoed
Keyword(s):  
Cardiovascular Disease ◽  
Cardiovascular Risk ◽  
Ethnic Minority ◽  
Total Cholesterol ◽  
Minority Groups ◽  
Density Lipoprotein ◽  
Risk Classification ◽  
Ethnic Minority Groups ◽  
Helius Study ◽  
Majority Groups

Aims European guidelines recommend estimating cardiovascular disease risk using the Systematic COronary Risk Evaluation (SCORE) algorithm. Two versions of SCORE are available: one based on the total cholesterol/high-density lipoprotein cholesterol ratio, and one based on total cholesterol alone. Cardiovascular risk classification between the two algorithms may differ, particularly among ethnic minority groups with a lipid profile different from the ethnic majority groups among whom the SCORE algorithms were validated. Thus in this study we determined whether discrepancies in cardiovascular risk classification between the two SCORE algorithms are more common in ethnic minority groups relative to the Dutch. Methods Using HELIUS study data (Amsterdam, The Netherlands), we obtained data from 7572 participants without self-reported prior cardiovascular disease of Dutch, South-Asian Surinamese, African Surinamese, Ghanaian, Turkish and Moroccan ethnic origin. For both SCORE algorithms, cardiovascular risk was estimated and used to categorise participants as low (<1%), medium (1–5%), high (5–10%) or very high (≥10%) risk. Odds of differential cardiovascular risk classification were determined by logistic regression analyses. Results The percentage of participants classified differently between the algorithms ranged from 8.7% to 12.4% among ethnic minority men versus 11.4% among Dutch men, and from 1.9% to 5.5% among ethnic minority women versus 6.2% among Dutch women. Relative to the Dutch, only Turkish and Moroccan women showed significantly different (lower) odds of differential cardiovascular risk classification. Conclusion We found no indication that discrepancies in cardiovascular risk classification between the two SCORE algorithms are consistently more common in ethnic minority groups than among ethnic majority groups.

A Novel Risk Classification Paradigm for Patients With Impaired Glucose Tolerance and High Cardiovascular Risk

2013 ◽  
Vol 112 (2) ◽  
pp. 231-237 ◽  
Author(s):  
M. Angelyn Bethel ◽  
Antonio R. Chacra ◽  
Prakash Deedwania ◽  
Gregory R. Fulcher ◽  
Rury R. Holman ◽  
...  
Keyword(s):  
Cardiovascular Risk ◽  
Glucose Tolerance ◽  
Impaired Glucose Tolerance ◽  
Risk Classification ◽  
High Cardiovascular Risk

scholarly journals 3.8 The importance of micro-and macrocirculation indices implementation for the amelioration of cardiovascular risk classification

2020 ◽  
Vol 25 (Supplement 1) ◽  
pp. S29
Author(s):  
Triantafyllou Areti ◽  
Dipla Konstantina ◽  
Koletsos Nikolaos ◽  
Gkaliagkousi Eugenia ◽  
Lazaridis Antonios ◽  
...  
Keyword(s):  
Cardiovascular Risk ◽  
Risk Classification

scholarly journals Measurement of ECG abnormalities and cardiovascular risk classification: a cohort study of primary care patients in the Netherlands

2014 ◽  
Vol 65 (630) ◽  
pp. e1-e8 ◽  
Author(s):  
Anne Groot ◽  
Michiel L Bots ◽  
Frans H Rutten ◽  
Hester M den Ruijter ◽  
Mattijs E Numans ◽  
...  
Keyword(s):  
Primary Care ◽  
Cohort Study ◽  
Cardiovascular Risk ◽  
The Netherlands ◽  
Risk Classification ◽  
Primary Care Patients ◽  
Ecg Abnormalities

scholarly journals Evaluation of cardiovascular risk in adults with type 1 diabetes: poor concordance between the 2019 ESC risk classification and 10-year cardiovascular risk prediction according to the Steno Type 1 Risk Engine

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Nicola Tecce ◽  
Maria Masulli ◽  
Roberta Lupoli ◽  
Giuseppe Della Pepa ◽  
Lutgarda Bozzetto ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Cardiovascular Risk ◽  
High Risk ◽  
Risk Prediction ◽  
Risk Classification ◽  
Preventive Strategy ◽  
Cvd Risk ◽  
Risk Engine ◽  
Very High

Abstract Background Patients with type 1 diabetes (T1D) have higher mortality risk compared to the general population; this is largely due to increased rates of cardiovascular disease (CVD). As accurate CVD risk stratification is essential for an appropriate preventive strategy, we aimed to evaluate the concordance between 2019 European Society of Cardiology (ESC) CVD risk classification and the 10-year CVD risk prediction according to the Steno Type 1 Risk Engine (ST1RE) in adults with T1D. Methods A cohort of 575 adults with T1D (272F/303M, mean age 36 ± 12 years) were studied. Patients were stratified in different CVD risk categories according to ESC criteria and the 10-year CVD risk prediction was estimated with ST1RE within each category. Results Men had higher BMI, WC, SBP than women, while no difference was found in HbA1c levels between genders. According to the ESC classification, 92.5% of patients aged < 35 years and 100% of patients ≥ 35 years were at very high/high risk. Conversely, using ST1RE to predict the 10-year CVD risk within each ESC category, among patients at very high risk according to ESC, almost all (99%) had a moderate CVD risk according to ST1RE if age < 35 years; among patients aged ≥35 years, the majority (59.1%) was at moderate risk and only 12% had a predicted very high risk by ST1RE. The presence of target organ damage or three o more CV risk factors, or early onset T1D of long duration (> 20 years) alone identified few patients (< 30%) among those aged ≥35 years, who were at very high risk according to ESC, in whom this condition was confirmed by ST1RE; conversely, the coexistence of two or more of these criteria identified about half of the patients at high/very high risk also according to this predicting algorithm. When only patients aged ≥ 50 years were considered, there was greater concordance between ESC classification and ST1RE prediction, since as many as 78% of those at high/very high risk according to ESC were confirmed as such also by ST1RE. Conclusions Using ESC criteria, a large proportion (45%) of T1D patients without CVD are classified at very high CVD risk; however, among them, none of those < 35 years and only 12% of those ≥ 35 years could be confirmed at very high CVD risk by the ST1RE predicting algorithm. More studies are needed to characterize the clinical and metabolic features of T1D patients that identify those at very high CVD risk, in whom a very aggressive cardioprotective treatment would be justified.

scholarly journals Adding carotid total plaque area to the Framingham risk score improves cardiovascular risk classification

2016 ◽  
Vol 3 ◽  
pp. 513-520 ◽  
Author(s):  
Hernan A. Perez ◽  
Nestor Horacio Garcia ◽  
John David Spence ◽  
Luis J. Armando
Keyword(s):  
Cardiovascular Risk ◽  
Risk Score ◽  
Framingham Risk Score ◽  
Risk Classification ◽  
Plaque Area ◽  
Framingham Risk ◽  
Total Plaque Area

scholarly journals COST-EFFECTIVENESS OF CARDIOVASCULAR RISK CLASSIFICATION BASED ON ANKLE-BRACHIAL INDEX TEST IN ASSOCIATION TO FRAMINGHAM RISK SCORE

2021 ◽  
Vol 39 (Supplement 1) ◽  
pp. e274
Author(s):  
Alessandro Maloberti ◽  
Paolo Cortesi ◽  
M. Micale ◽  
G. Mazzaglia ◽  
Lucia Occhi ◽  
...  
Keyword(s):  
Cardiovascular Risk ◽  
Cost Effectiveness ◽  
Risk Score ◽  
Framingham Risk Score ◽  
Ankle Brachial Index ◽  
Risk Classification ◽  
Index Test ◽  
Framingham Risk
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