Consulta: subjectFacets:"Risk prediction"
Registros recuperados: 2
Data/hora: 11/06/2024 14:49:51

Additional value of a combined genetic risk score to standard cardiovascular stratification
Provedor de dados: Genetics and Molecular Biology
Autores: Pereira,Andreia; Mendonca,Maria Isabel; Borges,Sofia; Sousa,Ana Célia; Freitas,Sónia; Henriques,Eva; Rodrigues,Mariana; Freitas,Ana Isabel; Guerra,Graça; Freitas,Carolina; Pereira,Décio; Brehm,António; Reis,Roberto Palma Dos.
Abstract The utility of genetic risk scores (GRS) as independent risk predictors remains inconclusive. Here, we evaluate the additive value of a multi-locus GRS to the Framingham risk score (FRS) in coronary artery disease (CAD) risk prediction. A total of 2888 individuals (1566 coronary patients and 1322 controls) were divided into three subgroups according to FRS. Multiplicative GRS was determined for 32 genetic variants associated to CAD. Logistic Regression and Area Under the Curve (AUC) were determined first, using the TRF for each FRS subgroup, and secondly, adding GRS. Different models (TRF, TRF+GRS) were used to classify the subjects into risk categories for the FRS 10-year predicted risk. The improvement offered by GRS was expressed as Net...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Coronary artery disease; Genetic risk score; Framingham score; Risk prediction; Risk factors.
Ano: 2018
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572018000500766

Meteorological factors and Asian soybean rust epidemics: a systems approach and implications for risk assessment
Provedor de dados: Scientia Agricola
Autores: Del Ponte,Emerson Medeiros; Esker,Paul David.
Favorable meteorological and environmental conditions are critical components that affect Asian soybean rust (ASR), caused by Phakopsora pachyrhizi, the most damaging fungal disease of soybean. In this review, we used available knowledge on the effect of meteorological factors affecting the disease to construct a systems-based approach to understand the risk of ASR epidemics. The systems approach is based on a hierarchical framework where relevant environmental factors that affect the key stages of the ASR disease cycle are identified and this included both aerobiological and epidemiological components. The formal framework we used examined the following epidemic characteristics: spore release, spore dispersal, spore deposition, infection efficiency,...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Phakopsora pachyrhizi; Plant epidemiology; Risk prediction; Climatology; Plant diseases.
Ano: 2008
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162008000700014