David A DeMicco
Overview
Explore the profile of David A DeMicco including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
50
Citations
2491
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Vogt L, Bangalore S, Fayyad R, Melamed S, Hovingh G, DeMicco D, et al.
J Am Heart Assoc
. 2019 Apr;
8(9):e010827.
PMID: 31020900
Background Kidney function decreases during the lifetime, and this decline is a powerful predictor of both kidney and cardiovascular outcomes. Statins lower cardiovascular risk, which may relate to beneficial effects...
2.
Bangalore S, Fayyad R, DeMicco D, Colhoun H, Waters D
Circ Cardiovasc Qual Outcomes
. 2018 Dec;
11(11):e004724.
PMID: 30571333
Background: Some studies have shown that body weight variability is a risk factor for cardiovascular events, but this has not been studied in subjects with diabetes mellitus. Methods And Results:...
3.
Ong K, Hui N, Januszewski A, Kaakoush N, Xu A, Fayyad R, et al.
Metabolism
. 2018 Nov;
93:93-99.
PMID: 30452928
Background: Higher plasma fibroblast growth factor 21 (FGF21) levels predict incident cardiovascular events in type 2 diabetes patients. However, whether FGF21 levels predict cardiovascular events in statin-treated patients in the...
4.
Ong K, Waters D, Fayyad R, Vogt L, Melamed S, DeMicco D, et al.
J Am Heart Assoc
. 2018 Jan;
7(2).
PMID: 29358194
Background: It is not known whether the concentration of high-density lipoprotein (HDL) cholesterol is related to renal function in statin-treated patients. We therefore investigated whether HDL cholesterol levels predicted renal...
5.
Waters D, Bangalore S, Fayyad R, DeMicco D, Laskey R, Melamed S, et al.
J Clin Lipidol
. 2018 Jan;
12(2):356-366.
PMID: 29310989
Background: Higher visit-to-visit variability in risk factors such as blood pressure and low-density lipoprotein (LDL)-cholesterol are associated with an increase in cardiovascular (CV) events. Objective: The purpose of this study...
6.
Ports W, Fayyad R, DeMicco D, Laskey R, Wolk R
Clin Drug Investig
. 2017 Jun;
37(8):775-785.
PMID: 28573499
Background: Psoriasis is associated with dyslipidemia and metabolic syndrome, and has been linked to an increased cardiovascular risk. The aim of this study was to compare baseline characteristics and effects...
7.
Bangalore S, Fayyad R, Laskey R, DeMicco D, Messerli F, Waters D
N Engl J Med
. 2017 Apr;
376(14):1332-1340.
PMID: 28379800
Background: Body-weight fluctuation is a risk factor for death and coronary events in patients without cardiovascular disease. It is not known whether variability in body weight affects outcomes in patients...
8.
Bangalore S, Fayyad R, Messerli F, Laskey R, DeMicco D, Kastelein J, et al.
Am J Cardiol
. 2016 Dec;
119(3):379-387.
PMID: 27939230
In patients with previous myocardial infarction (MI), aggressive hypertension control and low-density lipoprotein cholesterol (LDL-C) reduction are important secondary prevention measures. However, residual risk remains despite aggressive treatment. Whether variability...
9.
Deedwania P, Pedersen T, DeMicco D, Breazna A, Betteridge D, Hitman G, et al.
Int J Cardiol
. 2016 Aug;
222:548-556.
PMID: 27513651
Background: Traditional cardiovascular risk factors, such as hypertension and dyslipidemia, predispose individuals to cardiovascular disease, particularly patients with diabetes. We investigated the predictive value of baseline systolic blood pressure (SBP)...
10.
Arsenault B, Kohli P, Lambert G, DeMicco D, Laskey R, Messig M, et al.
Am J Cardiol
. 2016 Jun;
118(4):494-8.
PMID: 27328952
Whether biomarkers associated with cardiovascular disease risk also predict incident diabetes mellitus (DM) is unknown. Our objective was to determine if a panel of 18 biomarkers previously associated with risk...