Results 41 to 50 of about 8,823,949 (205)

Integrating information from novel risk factors with calculated risks: the critical impact of risk factor prevalence [PDF]

, 2011
Case vignette: a 60-year-old man visits his physician for assessment of his 10-year cardiovascular risk. On the basis of his systolic blood pressure, lipid profile, smoking status, and the fact that he is nondiabetic, the Framingham risk score estimates ...
Kostende, P.J., Physical and Colloid Chemistry, Kostense, P.J., Yvo M. Smulders, Jan Groenewold, Sattar, N., Albertus J. Kooter, Groenewold, J., Naveed Sattar, Thijs, A., Kooter, A.J., Sub Physical and Colloid Chemistry, Piet J. Kostense, Abel Thijs, Smulders, Y.M.   +14 more
core   +3 more sources

A Clinical-Genetic Risk Score for Predicting Cancer-Associated Venous Thromboembolism: A Development and Validation Study Involving Two Independent Prospective Cohorts

, 2023
PURPOSE: Venous thromboembolism (VTE) is a leading cause of death among patients with cancer. The Khorana score was developed for assessing the risk of VTE in outpatients with cancer receiving chemotherapy, but its accuracy in identifying patients at ...
Soria, José Manuel, Ortega, Laura, Muñoz Martín, Andrés Jesús   +2 more
core   +1 more source

SCORE performance in Central and Eastern Europe and former Soviet Union: MONICA and HAPIEE results [PDF]

, 2013
Aims: The Systematic COronary Risk Evaluation (SCORE) scale assesses 10 year risk of fatal atherosclerotic cardiovascular disease (CVD), based on conventional risk factors.
Kubinova, R, Vikhireva, Olga, Simonova, G, Skodova, Zdena, Tamosiunas, A, Tamosiunas, Abdonas, Vikhireva, O, Pikhart, Hynek, Skodova, Z, Pikhart, H, Pajak, Andrzej, Broda, Grazyna, Malyutina, S, Malyutina, Sofia, Pajak, A, Kubinova, Ruzena, Simonova, Galina, Bobak, Martin, Broda, G, Bobak, M, Broda, Grażyna B.   +20 more
core   +1 more source

Genetic Risk Score for Intracranial Aneurysms: Prediction of Subarachnoid Hemorrhage and Role in Clinical Heterogeneity [PDF]

, 2023
BACKGROUND: Recently, common genetic risk factors for intracranial aneurysm (IA) and aneurysmal subarachnoid hemorrhage (ASAH) were found to explain a large amount of disease heritability and therefore have potential to be used for genetic risk ...
HUNT All-In Stroke, CADISP group, International Consortium for Blood Pressure, International Headache Genetics Consortium, International Stroke Genetics Consortium (ISGC) Intracranial Aneurysm Working Group
core  

Risk prediction for coronary heart disease by a genetic risk score - results from the Heinz Nixdorf Recall study

BMC Medical Genetics, 2020
Background A Genetic risk score for coronary artery disease (CAD) improves the ability of predicting coronary heart disease (CHD). It is unclear whether i) the use of a CAD genetic risk score is superior to the measurement of coronary artery ...
Sonali Pechlivanis, Nils Lehmann, Per Hoffmann, Markus M. Nöthen, Karl-Heinz Jöckel, Raimund Erbel, Susanne Moebus   +6 more
doaj   +1 more source

Genetic parameters for somatic cell score according to udder infection status in Valle del Belice dairy sheep and impact of imperfect diagnosis of infection [PDF]

, 2010
Background Somatic cell score (SCS) has been promoted as a selection criterion to improve mastitis resistance. However, SCS from healthy and infected animals may be considered as separate traits.
Portolano, B., Bovenhuis, H., Bovenhuis Henk, Riggio Valentina, Portolano Baldassare, Bishop, S.C., Henk Bovenhuis, Valentina Riggio, Bishop Stephen C, Riggio, Valentina; id_orcid, Bovenhuis, Henk, Baldassare Portolano, Scatassa, S., Stephen C Bishop, Bovenhuis, H, Riggio, V., RIGGIO, Valentina, Bishop, SC, Bishop, Stephen C., Portolano, Baldassare   +19 more
core   +1 more source

Naïve Bayesian Classifier and Genetic Risk Score for Genetic Risk Prediction of a Categorical Trait: Not so Different After All!

Frontiers in Genetics, 2012
One of the most popular modeling approaches to genetic risk prediction is to use a summary of risk alleles in the form of an unweighted or a weighted genetic risk score, with weights that relate to the odds for the phenotype in carriers of the individual
Paola eSebastiani, Nadia eSolovieff, Jenny eSun   +2 more
doaj   +1 more source

Association of Joint Genetic and Social Environmental Risks With Incident Myocardial Infarction: Results From the Health and Retirement Study

Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 2023
Background Myocardial infarction (MI) is a significant clinical and public health problem worldwide. However, little research has assessed the interplay between genetic susceptibility and social environment in the development of MI.
Junhan Tang, Chen Sheng, Yan Yan Wu, Lijing L. Yan, Chenkai Wu   +4 more
doaj   +1 more source

Evaluation of a Genetic Risk Score to Improve Risk Prediction for Alzheimer’s Disease [PDF]

Journal of Alzheimer's Disease, 2016
Effective prevention of Alzheimer’s disease (AD) requires the development of risk prediction tools permitting preclinical intervention. We constructed a genetic risk score (GRS) comprising common genetic variants associated with AD, evaluated its association with incident AD and assessed its capacity to improve risk prediction over traditional models ...
Chouraki, Vincent, Reitz, Christiane, Maury, Fleur, Bis, Joshua C., Bellenguez, Celine, Yu, Lei, Jakobsdottir, Johanna, Mukherjee, Shubhabrata, Adams, Hieab H., Choi, Seung Hoan, Larson, Eric B., Fitzpatrick, Annette, Uitterlinden, Andre G., de Jager, Philip L., Hofman, Albert, Gudnason, Vilmundur, Vardarajan, Badri, Ibrahim-Verbaas, Carla, van der Lee, Sven J., Lopez, Oscar, Dartigues, Jean-François, Berr, Claudine, Amouyel, Philippe, Bennett, David A., van Duijn, Cornelia, DeStefano, Anita L., Launer, Lenore J., Ikram, M. Arfan, Crane, Paul K., Lambert, Jean-Charles, Mayeux, Richard, Seshadri, Sudha, for the International Genomics of Alzheimer’s Project   +32 more
openaire   +4 more sources

Genetic Relationship of Body Energy and Blood Metabolites with Reproduction in Holstein Cows [PDF]

, 2008
Body condition score (BCS), energy content (EC), cumulative effective energy balance (CEEB), and blood serum concentrations of glucose, beta-hydroxybutyrate (BHBA), and nonesterified fatty acids ( NEFA) were measured throughout first lactation in 497 ...
Arsenos, G., Zygoyiannis, D., Oikonomou, G., Valergakis, G. E., Banos, G., Tsiaras, A.   +5 more
core   +1 more source