scholarly journals Ultrasound-based stroke/cardiovascular risk stratification using Framingham Risk Score and ASCVD Risk Score based on “Integrated Vascular Age” instead of “Chronological Age”: a multi-ethnic study of Asian Indian, Caucasian, and Japanese cohorts

2020 ◽  
Vol 10 (4) ◽  
pp. 939-954
Author(s):  
Ankush Jamthikar ◽  
Deep Gupta ◽  
Elisa Cuadrado-Godia ◽  
Anudeep Puvvula ◽  
Narendra N. Khanna ◽  
...  
Keyword(s):  
Cardiovascular Risk ◽  
Risk Stratification ◽  
Asian Indian ◽  
Risk Score ◽  
Framingham Risk Score ◽  
Chronological Age ◽  
Cardiovascular Risk Stratification ◽  
Framingham Risk ◽  
Vascular Age ◽  
Ascvd Risk

scholarly journals A Retrospective Exploratory Analysis on Cardiovascular Risk and Cognitive Dysfunction in Multiple Sclerosis

2021 ◽  
Vol 11 (4) ◽  
pp. 502
Author(s):  
Antonio Reia ◽  
Martina Petruzzo ◽  
Fabrizia Falco ◽  
Teresa Costabile ◽  
Matteo Conenna ◽  
...  
Keyword(s):  
Cardiovascular Risk ◽  
Cognitive Function ◽  
Risk Score ◽  
Framingham Risk Score ◽  
Verbal Learning ◽  
Macrovascular Disease ◽  
Cardiovascular Comorbidities ◽  
Cholesterol Levels ◽  
Framingham Risk ◽  
Input Variables

Background. Cardiovascular comorbidities have been associated with cognitive decline in the general population. Objectives. To evaluate the associations between cardiovascular risk and neuropsychological performances in MS. Methods. This is a retrospective study, including 69 MS patients. For all patients, we calculated the Framingham risk score, which provides the 10-year probability of developing macrovascular disease, using age, sex, diabetes, smoking, systolic blood pressure, and cholesterol levels as input variables. Cognitive function was examined with the Brief International Cognitive Assessment for MS (BICAMS), including the Symbol Digit Modalities Test (SDMT), the California Verbal Learning Test-II (CVLT-II), and the Brief Visuospatial Memory Test-Revised (BVMT-R). Results. Each point increase of the Framingham risk score corresponded to 0.21 lower CVLT-II score. Looking at Framingham risk score components, male sex and higher total cholesterol levels corresponded to lower CVLT scores (Coeff = −8.54; 95%CI = −15.51, −1.57; and Coeff = −0.11; 95%CI = −0.20, −0.02, respectively). No associations were found between cardiovascular risk and SDMT or BVMT-R. Conclusions. In our exploratory analyses, cardiovascular risk was associated with verbal learning dysfunction in MS. Lifestyle and pharmacological interventions on cardiovascular risk factors should be considered carefully in the management of MS, given the possible effects on cognitive function.

Cardiovascular risk prediction in the general population with use of suPAR, CRP, and Framingham Risk Score

2013 ◽  
Vol 167 (6) ◽  
pp. 2904-2911 ◽  
Author(s):  
Stig Lyngbæk ◽  
Jacob L. Marott ◽  
Thomas Sehestedt ◽  
Tine W. Hansen ◽  
Michael H. Olsen ◽  
...  
Keyword(s):  
Cardiovascular Risk ◽  
General Population ◽  
Risk Prediction ◽  
Risk Score ◽  
Framingham Risk Score ◽  
Framingham Risk ◽  
Cardiovascular Risk Prediction

scholarly journals Baseline Framingham risk score does not predict future ECG-derived QRS duration over an average of 3.3 years

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Elijah Stone ◽  
Yuling Zhou ◽  
Herbert Jelinek ◽  
Craig S. Mclachlan
Keyword(s):  
Cardiovascular Risk ◽  
Risk Score ◽  
Framingham Risk Score ◽  
Cross Sectional ◽  
Online Risk ◽  
Weak Association ◽  
Framingham Risk ◽  
Qrs Duration ◽  
Risk Parameters

Abstract Background Prolonged electrocardiogram (ECG) QRS duration has been associated with increased cardiovascular risk. It is unclear whether the main predictor of cardiovascular risk, the Framingham risk score also predicts short-term changes in ECG QRS duration. Our aim is to determine whether baseline Framingham risk score is associated with baseline or changes in QRS duration. Methods A retrospective cross-sectional analysis was performed using observational data obtained from two hundred two participants. Framingham risk score was calculated using an online risk calculator. QRS duration was obtained using a 10 s trace from a Welch Allyn PC-based 12-lead ECG system. Results Average follow-up duration was 3.3 ± 1.1 years. Mean QRS change was 1.8 ± 11.4 ms. Specifically, among two hundred two participants, there are 104 subjects with a greater QRS duration at follow-up, while 98 subjects had the same or a shorter follow-up QRS duration. Baseline Framingham risk score did not significantly predict an increase in QRSd with an odds ratio of 1.04 (P = 0.230). Regression analysis of QRS duration at baseline and Framingham risk at baseline had a weak association (R2 = 0.020; P = 0.043). The Framingham risk score at follow-up was likewise has a weak association with follow-up QRS duration (R2 = 0.045; P = 0.002). Conclusions Our results do not demonstrate a statistically significant association between Framingham risk parameters and future QRS duration changes over longitudinal time. QRS duration had variable changes between baseline and follow-up. This might suggest that a longer period of follow-up is required to document more stable increases in QRS duration associated with ventricular pathology. A larger population study is needed to confirm our observations.

scholarly journals Association between Framingham risk score and metabolic syndrome in elderly

2016 ◽  
Vol 13 (2) ◽  
Author(s):  
Juliana Mezzomo ◽  
Bruna Cocco Pilar ◽  
Patrícia Maurer ◽  
Vanusa Manfredini ◽  
Graziela Morgana Silva Tavares ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Logistic Regression ◽  
Cardiovascular Risk ◽  
Risk Score ◽  
Framingham Risk Score ◽  
The Elderly ◽  
Abdominal Adiposity ◽  
Chi Square ◽  
Glucose Levels ◽  
Framingham Risk

Metabolic syndrome is a set of factors that can increase the mortality from cardiovascular disease. Thus, knowledge about the prevalence of MS in the elderly is important, since the risk factors tend to increase significantly with age. The aim of this study is analyze the prevalence of metabolic syndrome (MS) among elderly according to the IDF and NCEP criteria and determining its relation to Framingham Risk Score (FRS). Elderly people (60 years old or older) of both genders participated in the study. Volunteers signed a TCLE and were interviewed, as well as physical exams. The biochemical analyzis were performed on an automated analyzer LABTEST, LabMax 240 model with biochemical reagents Labtest brand. For the diagnosis of MS NCEP and IDF criteria were used and cardiovascular risk was estimated by calculating the FRS. Descriptive statistics were performed, chi-square test for ordinal variables and ANOVA or Student-t test for quantitative data. Multivariate analysis was performed by logistic regression (backward conditional method). Differences were considered statistically significant at p ≤ 0.05. The overall prevalence of MS found in the sample following the NCEP and IDF criteria was 55.8% and 60.8%, respectively. No associations were found between gender and diagnostic criteria. Individuals with high+moderate FRS had a higher risk of developing MS compared to those with low FRS. Logistic regression analysis showed an independent association of abdominal adiposity by the IDF criteria (OR 4.8, CI 1.0- 22.1; p = 0.04) and glycemia by NCEP criteria (OR 3.0, CI 1.1-8.4; p = 0.03) with moderate+high FRS. The prevalence of MS was high under both criteria, being more predominant in those patients with moderate+high FRS. Thus, the components of MS abdominal adiposity and glucose levels were associated with increased CRF, indicating that the control of these factors can be decisive in reducing cardiovascular risk in the elderly.

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