Sanaz Sedaghat
Overview
Explore the profile of Sanaz Sedaghat including associated specialties, affiliations and a list of published articles.
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75
Citations
2855
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Recent Articles
1.
Moen S, Misialek J, Hughes T, Johnson C, Sarnak M, Forrester S, et al.
Kidney Med
. 2025 Feb;
7(3):100961.
PMID: 39996163
Rationale & Objective: Equations for estimated glomerular filtration rate (eGFR) have previously included a coefficient for African American race. We evaluated and compared risk of incident stroke and dementia between...
2.
Steens I, Ji Y, Sedaghat S, Pankow J, Klein B, Cotch M, et al.
Diabetes Obes Metab
. 2025 Jan;
27(4):2299-2304.
PMID: 39888145
No abstract available.
3.
Sedaghat S, Park S, Walker R, Wang S, Liu J, Hughes T, et al.
Res Sq
. 2025 Jan;
PMID: 39877085
Background: Biological age can be quantified by composite proteomic scores, called aging clocks. We investigated whether biological age acceleration (a discrepancy between chronological and biological age) in midlife and late-life...
4.
Ji Y, Zhang M, Wang W, Norby F, Eaton A, Inciardi R, et al.
Circulation
. 2024 Nov;
151(6):356-367.
PMID: 39569504
Background: Coagulation factor XI (FXI) inhibitors are a promising and novel class of anticoagulants, but a recent animal study found that FXI inhibition exacerbated diastolic dysfunction and heart failure (HF)....
5.
Wang S, Rao Z, Cao R, Blaes A, Coresh J, Deo R, et al.
PLoS Med
. 2024 Sep;
21(9):e1004464.
PMID: 39316596
Background: Biological age may be estimated by proteomic aging clocks (PACs). Previous published PACs were constructed either in smaller studies or mainly in white individuals, and they used proteomic measures...
6.
Duque C, Mahinrad S, Sedaghat S, Higgins J, Milstead A, Sargento-Freitas J, et al.
Mult Scler Relat Disord
. 2024 Sep;
91:105882.
PMID: 39276598
Background: Vascular risk factors seem to contribute to disease progression in Multiple Sclerosis (MS), but the mechanistic connection between vascular risk and MS is unknown. Understanding cerebrovascular hemodynamics (CVH) in...
7.
Stephen J, Carolan P, Krefman A, Sedaghat S, Mansolf M, Allen N, et al.
Patterns (N Y)
. 2024 Sep;
5(8):101003.
PMID: 39233692
Combining pertinent data from multiple studies can increase the robustness of epidemiological investigations. Effective "pre-statistical" data harmonization is paramount to the streamlined conduct of collective, multi-study analysis. Harmonizing data and...
8.
Maas M, Mahinrad S, Sedaghat S, Yaffe K, Launer L, Bryan R, et al.
Hypertension
. 2024 Jul;
81(9):1935-1944.
PMID: 39041216
Background: Vascular risk factors, particularly hypertension, are important contributors to accelerated brain aging. We sought to quantify vascular risk factor risks over adulthood and assess the empirical evidence for risk...
9.
Lee M, Lakshminarayan K, Sedaghat S, Sabayan B, Chen L, Johansen M, et al.
Am J Epidemiol
. 2024 Jun;
193(12):1712-1719.
PMID: 38897982
Stroke is a leading cause of death in the United States across all race/ethnicity and sex groups, though disparities exist. We investigated the potential for primary prevention of total first...
10.
Casanova R, Walker K, Justice J, Anderson A, Duggan M, Cordon J, et al.
Geroscience
. 2024 Mar;
46(4):3861-3873.
PMID: 38438772
Machine learning models are increasingly being used to estimate "brain age" from neuroimaging data. The gap between chronological age and the estimated brain age gap (BAG) is potentially a measure...