scholarly journals Premature atherosclerotic cardiovascular disease: association of clinical factors with form of atherosclerosis onset

2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
A A Rogozhina ◽  
A O Averkova ◽  
E A Zubova ◽  
L O Minushkina ◽  
M A Chichkova ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Uric Acid ◽  
Roc Curve ◽  
Aortic Root ◽  
Acid Level ◽  
Root Diameter ◽  
Atherosclerotic Cardiovascular Disease ◽  
Clinical Factors ◽  
Premature Atherosclerosis ◽  
History Of

Abstract Background The cardiovascular death rate significantly declined last decades. But premature atherosclerosis burden remains an unresolved problem. Purpose The study aimed to assess the association of clinical factors with types of premature atherosclerosis onset. Methods Date of 702 patients (pts) (523 men and 179 women) with premature atherosclerosis (men ≤55 (48.6±6.2), women ≤60 (52.7±7.0) years of age) were analyzed with decision tree method using SPSS 23.0 program with the Python GUI module. Clinical and instrumental variables (n=109) were used. The test sample was formed by the cross-validation method. Results Myocardial infarction at the onset of atherosclerosis (n=542, 77.2%) was associated with the presence of peripheral atherosclerosis (1st order node, p<0.0001, F=93.174). The 2nd order node was a uric acid level (p<0.0001, F=26.493) in pts without peripheral atherosclerosis. In pts with uric acid level, less than 225 mmol/L-the left ventricle posterior wall thickness more than 10 mm was a 3d order node (p<0.0001, F=30.143). Area under the ROC-curve 0.916, p=0.011. Multivessel lesion according to coronary angiography data (102 patients) was associated with family history of cardiovascular disease (p=0.001, F=13.238), the area under the ROC-curve was 0.667, p=0.041. For pts. with peripheral atherosclerosis (n=66, 9,4%) the aortic root diameter obtained by an echo was the 1st order node (p<0.0001, F=36.057). In pts with aortic root diameter over 27 mm, a 2nd order node was creatinine level above 90 mmol/L (p=0.036, F=9.945) and in pts with a smaller diameter of aortic root was the history of hypertension emergency (p=0.001, F=13.897). Area under the ROC-curve 0.676, p=0.02. For pts. with ischemic stroke (n=26, 3,7%) as atherosclerosis onset 1st order node was brachiocephalic atherosclerosis lesion (p<0.0001, F=30.259). Among them, untarget BP level was 2nd order node (p=0.033, F=4.958). For pts without atherosclerosis age over 46.7 yrs was a 2nd order node (p<0.0001, F=24.515), and for pts younger than 46.7 yrs admission glucose higher than 11.06 mmol/L was a 3rd order node (p=0.026, F=12.382). This model had high predictive accuracy (area under the ROC-curve 0.963, p<0.0001). Conclusion Thus multiple clinical variants of premature atherosclerotic cardiovascular disease onset appeal to develop an individualized approach to early diagnosis and management of this kind of patient. FUNDunding Acknowledgement Type of funding sources: None.

Abstract P019: A Single Model For Predicting Major Adverse Cardiovascular Events In Individuals With And Without History Of Atherosclerotic Cardiovascular Disease: The Atherosclerosis Risk In Communities (aric) Study

Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Yejin Mok ◽  
Lena Mathews ◽  
Ron C Hoogeveen ◽  
Michael J Blaha ◽  
Christie M Ballantyne ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Cardiovascular Disease ◽  
High Risk ◽  
Risk Stratification ◽  
Cardiovascular Events ◽  
Major Adverse Cardiovascular Events ◽  
Atherosclerotic Cardiovascular Disease ◽  
Single Model ◽  
History Of ◽  
Very High

Background: In the 2018 AHA/ACC Cholesterol guideline, risk stratification is an essential element. The use of a Pooled Cohort Equation (PCE) is recommended for individuals without atherosclerotic cardiovascular disease (ASCVD), and the new dichotomous classification of very high-risk vs. high-risk has been introduced for patients with ASCVD. These distinct risk stratification systems mainly rely on traditional risk factors, raising the possibility that a single model can predict major adverse cardiovascular events (MACEs) in persons with and without ASCVD. Methods: We studied 11,335 ARIC participants with (n=885) and without (n=10,450) a history of ASCVD (myocardial infarction, ischemic stroke, and symptomatic peripheral artery disease) at baseline (1996-98). We modeled factors in the PCE and the new classification for ASCVD patients (Figure legend) in a single CVD prediction model. We examined their associations with MACEs (myocardial infarction, stroke, and heart failure) using Cox models and evaluated the discrimination and calibration for a single model including those factors. Results: During a median follow-up of 18.4 years, there were 3,658 MACEs (3,105 in participants without ASCVD). In general, the factors in the PCE and the risk classification system for ASCVD patients were associated similarly with MACEs regardless of baseline ASCVD status, although age and systolic blood pressure showed significant interactions. A single model with these predictors and the relevant interaction terms showed good calibration and discrimination for those with and without ASCVD (c-statistic=0.729 and 0.704, respectively) (Figure). Conclusion: A single CVD prediction model performed well in persons with and without ASCVD. This approach will provide a specific predicted risk to ASCVD patients (instead of dichotomy of very high vs. high risk) and eliminate a practice gap between primary vs. secondary prevention due to different risk prediction tools.

Aortic Root Diameter and Arterial Stiffness: Conjoint Relations to the Incidence of Cardiovascular Disease in the Framingham Heart Study

Hypertension ◽  
2021 ◽  
Author(s):  
Ramachandran S. Vasan ◽  
Rebecca J. Song ◽  
Vanessa Xanthakis ◽  
Gary F. Mitchell
Keyword(s):  
Cardiovascular Disease ◽  
Pulse Pressure ◽  
Aortic Root ◽  
Cox Regression ◽  
Prognostic Significance ◽  
Root Diameter ◽  
Cvd Risk ◽  
Heart Study ◽  
Increased Risk ◽  
Central Pulse Pressure

Higher central pulse pressure is associated with higher carotid-femoral pulse wave velocity (CFPWV) and an increased risk of cardiovascular disease (CVD). A smaller aortic root diameter (AoR) is associated with higher central pulse pressure. We hypothesized that the combination of a smaller AoR and higher CFPWV is associated with increased CVD risk (relative to a larger AoR and lower CFPWV). We tested this hypothesis in the community-based Framingham Study (N=1970, mean age 60 years, 57% women). We created sex-specific longitudinal echocardiographic AoR trajectories over 2 decades, categorizing participants into smaller versus larger AoR groups. We cross-classified participants based on their AoR trajectory and CFPWV (dichotomized at the sex-specific median). We used Cox regression to relate the cross-classified groups to CVD incidence on follow-up (median 17 years): lower CFPWV, larger AoR (referent group; 6.4/1000 person-years); lower CFPWV, smaller AoR (6.9/1000 person-years); higher CFPWV, larger AoR (23.1/1000 person-years); and higher CFPWV, smaller AoR (21.9/1000 person-years). In sex-pooled analyses, groups with higher CFPWV were associated with a multivariable-adjusted 1.8-fold risk of CVD ( P <0.01) regardless of AoR size. We observed effect modification by sex ( P for sex×AoR-CFPWV group interaction 0.04). In men, the group with smaller AoR and higher CFPWV was associated with a 2.5- to 2.8-fold risk of CVD ( P <0.001). In women, the group with larger AoR and higher CFPWV experienced a statistically nonsignificant 70% to 80% higher CVD risk. Our observations indicate that the prognostic significance of a smaller versus larger AoR varies in men versus women. Additional studies are warranted to confirm our findings.

scholarly journals Serum Uric Acid as a Prognostic Factor of Acute Myocardial Infarction in Hospitalized Patients

2021 ◽  
Vol 34 (1) ◽  
pp. 26-32
Author(s):  
Md Amzad Hossain Sardar ◽  
Md Khalilur Rahman ◽  
Md Mahidul Alam ◽  
Md Aminul Hasan ◽  
Ashoke Sarker ◽  
...  
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Uric Acid ◽  
Family History ◽  
Serum Uric Acid ◽  
Acid Level ◽  
Serum Uric Acid Level ◽  
High Serum ◽  
History Of

Background: Among non-communicable diseases, acute myocardial infarction (AMI) is a common killer of people in the world. The management of AMI patients is one of the major challenges in the field of cardiology. Uric acid has several effects of potential interest in cardiovascular disease. There are some markers indicating an unfavorable prognosis in AMI patients. Uric acid is one of the markers that have been evaluated in research. Objective: The aim of this study was to assess the association between serum uric acid level and in-hospital outcomes of AMI patients. Patients and methods: This longitudinal descriptive study was conducted over 115 AMI patients in the Cardiology Unit of Rajshahi Medical College Hospital during the period of January 2015 to December 2016. Baseline characteristics such as age, sex, BMI, BP, RBS, risk factors (hypertension, DM, smoking, family history of IHD, dyslipidemia), and outcomes of AMI patients (acute LVF, arrhythmia, conduction block, cardiogenic shock, death) were recorded. We measured the serum uric acid of this patient at admission.  Results: The mean age of patients was 52.83±10.71 years. Out of 115 patients, 83.5% were male, and 16.5% were female. Among the risk factors, 65.2% of patients had HTN, 20.9% DM, 64.3% smoking, 16.5% family history of IHD, and 47.8% dyslipidemia. Out of 115, 35.7% of patients demonstrated high serum uric acid. In outcomes of AMI patients, acute LVF 24.4% (p=0.031) and death 12.2% (p=0.041) were significantly higher in patients with high serum uric acid levels. Conclusion: Significant association was found between high serum uric acid level and in-hospital outcomes of AMI patients. So, estimation of serum uric acid may offer an inexpensive, quick, and non-invasive method for identifying such high-risk patients. TAJ 2021; 34: No-1: 26-32

scholarly journals Evaluating serum uric acid levels in patients with acute myocardial infarction

2020 ◽  
Vol 7 (8) ◽  
pp. 1256
Author(s):  
Piyush Gosar ◽  
Ajay Pal Singh ◽  
Pravi Gosar ◽  
Bhawana Rani
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Uric Acid ◽  
Serum Uric Acid ◽  
Uric Acid Level ◽  
Acid Level ◽  
Serum Uric Acid Level ◽  
Control Group ◽  
Cardiovascular Morbidity And Mortality ◽  
History Of

Background: Elevated levels of serum uric acid are associated with increased cardiovascular morbidity and mortality. However, this association with cardiovascular diseases is still unclear, and perhaps controversial. The objective of study was to assess the serum uric acid level in patients with Acute Myocardial Infarction (AMI).Methods: Sixty patients with AMI were studied in Department of Medicine/ Department of Cardiology, J.A. Group of Hospitals between 2016 -2018.Details of age, sex, smoking, alcohol consumption and history of ischemic heart disease (IHD) was obtained and recorded. Serum uric acid level was estimated and compared with control group (healthy subjects).Results: Serum uric acid level was significantly higher among AMI patients (6.43±2.60) as compared to control group (4.05±0.95) (p<0.001). Majority (46.7%) of the AMI patients had uric acid level of >7.1 followed by 20% patients who had uric acid level between 4.5-5.9 (p<0.001). Uric acid level was comparable between smoker and non-smokers (p=0.803), alcoholic and non-alcoholic (p=0.086), hypertensive and non-hypertensive (p=0.668), patients with and without diabetes (p=0.278) and patients with a history of IHD and without history of IHD (p=0.403).Conclusions: Serum uric acid may be useful for prognostication among those with pre-existing AMI.

SERUM URIC ACID LEVELS IMPROVE ATHEROSCLEROTIC CARDIOVASCULAR DISEASE POOLED COHORT EQUATIONS MODEL

2020 ◽  
Vol 75 (11) ◽  
pp. 1931
Author(s):  
Alexander Fardman ◽  
Gabriel Dov Banschick ◽  
Razi Rabia ◽  
Shay Kivity ◽  
Gilad Twig ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Uric Acid ◽  
Serum Uric Acid ◽  
Atherosclerotic Cardiovascular Disease
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