Results 51 to 60 of about 75,131 (308)

KORELASI ANTARA PROTEINURIA DAN FRAMINGHAM RISK SCORE DALAM PENILAIAN RISIKO CARDIOVASCULAR DISEASE

Berkala Kedokteran, 2017
: Diabetes mellitus (DM) is a metabolic disorder with elevated glucose level known as hyperglicemia which is caused by insulin resistance. One of the diabetes mellitus complications known is a cardiovascular disease (CVD).
Kevin Prasetya Raharjo, Agus Yuwono, Erida Wydiamala   +2 more
doaj   +1 more source

Recent methods for polygenic analysis of genome-wide data implicate an important effect of common variants on cardiovascular disease risk

BMC Medical Genetics, 2011
Background Traditional genome-wide association studies are generally limited in their ability explain a large portion of genetic risk for most common diseases.
Wills Amanda G, Simonson Matthew A, Keller Matthew C, McQueen Matthew B   +3 more
doaj   +1 more source

Framingham and American College of Cardiology/American Heart Association Pooled Cohort Equations, High‐Sensitivity Troponin T, and N‐Terminal Pro–Brain‐Type Natriuretic Peptide for Predicting Atherosclerotic Cardiovascular Events Across the Spectrum of Kidney Dysfunction

Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 2022
Background Contemporary guidelines recommend using atherosclerotic cardiovascular disease screening tools to guide primary prevention. The performance of these scores is not well known in patients with moderate to advanced chronic kidney disease ...
Benjamin Lidgard, Leila R. Zelnick, Alan Go, Kevin D. O’Brien, Nisha Bansal   +4 more
doaj   +1 more source

Cardiovascular disease risk scores in identifying future frailty: the Whitehall II prospective cohort study [PDF]

, 2013
Objectives: To examine the capacity of existing cardiovascular disease (CVD) risk algorithms widely used in primary care, to predict frailty. / Design: Prospective cohort study.
Batty, GD, Bouillon, K, Britton, A, Hamer, M, Kivimäki, M, Sabia, S, Shipley, MJ, Singh-Manoux, A   +7 more
core   +3 more sources

Framingham Risk Score by Data Mining Method

International Journal of Applied Mathematics Electronics and Computers, 2020
There are cleaning, integration, reduction, conversion, algorithm implementation and evaluation stages in data mining meaning finding necessary data from a wide variety of variables and data. It is important to create a data warehouse to realize these steps. Data randomly selected from data warehouse is evaluated with certain algorithms.
openaire   +4 more sources

Higher urinary cortisol levels associate with increased cardiovascular risk

Endocrine Connections, 2019
There are conflicting data on whether variations of physiologic cortisol levels associated with cardiovascular risk. We hypothesize that prior discordant findings are related to problems associated with varying sample size, techniques for assessing ...
Andrea V Haas, Paul N Hopkins, Nancy J Brown, Luminita H Pojoga, Jonathan S Williams, Gail K Adler, Gordon H Williams   +6 more
doaj   +1 more source

Risk of cardiovascular disease in first and second generation Mexican-Americans. [PDF]

, 2011
This study examines the cardiovascular disease (CVD) risk profiles of first generation (FG) and second generation (SG) Mexican-Americans (MA) in two large national studies--the Hispanic Health and Nutrition Examination Study (HHANES) (1982-1984) and the ...
Escarce, JJ, Leng, M, Morales, LS
core   +2 more sources

THE FRAMINGHAM RISK SCORE IS A POOR PREDICTOR OF SECONDARY CARDIOVASCULAR RISK

Journal of the American College of Cardiology, 2012
The Framingham Risk Score (FRS) is a valuable tool for primary coronary heart disease (CHD) risk prediction. Modifications to the original 1998 model were made in 2001 and 2008. We evaluated the ability of these models to predict death, myocardial infarction (MI), and heart failure (HF) among ...
Joseph B. Muhlestein, Benjamin D. Horne, Brian Whisenant, Jeffrey L. Anderson, Tami L Bair, Heidi May   +5 more
openaire   +2 more sources

Validation of cardiovascular risk scores in a liver transplant population [PDF]

, 2012
Hintergrund: Kardiovaskuläre Ereignisse gehören zu den häufigsten Todesursachen im Langzeitverlauf nach Lebertransplantation. Bei lebertransplantierten Patienten ist eine erhöhte Prävalenz kardiovaskulärer Risikofaktoren bekannt.
Mutzke, Florian
core   +1 more source

CARDIOVASCULAR RISK OF STAFF AT A HEALTH CARE CENTER: WORLD HEALTH ORGANIZATION OR FRAMINGHAM?

Revista de la Sociedad Argentina de Diabetes, 2018
Introduction: the evolution of the determinants of chronic noncommunicable diseases predicts an increase in their incidence and prevalence. This would condition greater morbidity and mortality, generating a growing need to use resources of the health ...
Guillermo González, Diego Olivares
doaj   +1 more source