Zobrazeno 1 - 10
of 89
pro vyhledávání: '"Ash Genaidy"'
Publikováno v:
Journal of Arrhythmia, Vol 37, Iss 4, Pp 931-941 (2021)
Abstract Background Patients with atrial fibrillation (AF) usually have a heterogeneous co‐morbid history, with dynamic changes in risk factors impacting on multiple adverse outcomes. We investigated a large prospective cohort of patients with mult
Externí odkaz:
https://doaj.org/article/d0f2e8a7860c422fafa2a3e3f5d815e9
Publikováno v:
European Journal of Clinical Investigation. 53
Publikováno v:
Eur Stroke J
Background: Transient ischemic attack (TIA) is a strong signal prompting the incidence of future cardiovascular and non-cardiovascular complications, in light of recent debate on the so-called “stroke-heart syndrome.” We aimed to investigate the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4116d144661775f2ac60936eb4bc488
https://europepmc.org/articles/PMC10069223/
https://europepmc.org/articles/PMC10069223/
Autor:
Gregory Y. H. Lip, Ash Genaidy, Bobby Jones, George Tran, Patricia Marroquin, Cara Estes, Tatiana Shnaiden
Publikováno v:
British journal of clinical pharmacology.
Using advanced longitudinal analyses, this real-world investigation examined medication adherence levels and patterns for incident atrial fibrillation (AF) patients with significant cardiovascular and non-cardiovascular multi-morbid conditions for ea
Publikováno v:
Journal of Arrhythmia, Vol 37, Iss 4, Pp 931-941 (2021)
Journal of Arrhythmia
Journal of Arrhythmia
Background Patients with atrial fibrillation (AF) usually have a heterogeneous co‐morbid history, with dynamic changes in risk factors impacting on multiple adverse outcomes. We investigated a large prospective cohort of patients with multimorbidit
Autor:
Ash Genaidy, Patricia Marroquin, George Tran, Cara Estes, Gregory Y.H. Lip, Jeremy Landsheftl
Publikováno v:
Lip, G Y H, Tran, G, Genaidy, A, Marroquin, P, Estes, C & Landsheftl, J 2022, ' Improving dynamic stroke risk prediction in non-anticoagulated patients with and without atrial fibrillation : Comparing common clinical risk scores and machine learning algorithms ', European heart journal. Quality of care & clinical outcomes, vol. 8, no. 5, qcab037, pp. 548-556 . https://doi.org/10.1093/ehjqcco/qcab037
Aims Diversified cardiovascular/non-cardiovascular multi-morbid risk and efficient machine learning algorithms may facilitate improvements in stroke risk prediction, especially in newly diagnosed non-anticoagulated atrial fibrillation (AF) patients w
Publikováno v:
International journal of clinical practice. 2022
Background. Poor socioeconomic status coupled with individual disability is significantly associated with incident atrial fibrillation (AF) and AF-related adverse outcomes, with the information currently lacking for US cohorts. We examined AF inciden
Autor:
Gregory Y. H. Lip, Ash Genaidy, George Tran, Patricia Marroquin, Cara Estes, Tatiana Shnaiden, Ariel Bayewitz
Publikováno v:
European journal of clinical investigationREFERENCES. 52(8)
To date, incident and recurrent MI remains a major health issue worldwide, and efforts to improve risk prediction in population health studies are needed. This may help the scalability of prevention strategies and management in terms of healthcare co
Publikováno v:
European Journal of Clinical Investigation. 52
With the spread of COVID-19 pandemic, there have been reports on its impact on incident myocardial infarction (MI) emanating from studies with small to modest sample sizes. We therefore examined the incidence of MI in a very large population health c
Publikováno v:
Thrombosis and haemostasis. 122(1)
Background There are few large studies examining and predicting the diversified cardiovascular/noncardiovascular comorbidity relationships with stroke. We investigated stroke risks in a very large prospective cohort of patients with multimorbidity, u