Back to Authors

Sheth, Kevin N

0000-0003-2003-5473

Mayo Clinic

Department of Neurology, Yale School of Medicine, New Haven, CT.

Citations 4

Life's Essential 8 and Poor Brain Health Outcomes in Middle-Aged Adults
Clocchiatti‐Tuozzo, Santiago , Rivier, Cyprien , Renedo, Daniela , Huo, Shufan , Hawkes, Maximiliano A. , Havenon, Adam de , Schwamm, Lee H. , Sheth, Kevin N. , Gill, Thomas M. , Falcone, Guido J. , Rivier, Cyprien A , de Havenon, Adam H , Clocchiatti-Tuozzo, Santiago , Gill, Thomas M , Hawkes, M A , Sheth, Kevin N

Neurology | October 23, 2024 | Volume: 103 | Issue: 10 | Pages: No page available

10.1212/wnl.0000000000209990 Get It

Correlations of Socioeconomic and Clinical Determinants with United States County‐Level Stroke Prevalence
Stulberg, Eric , Schneider, Andrea L.C. , Sarpong, Daniel F. , Wong, Ka-Ho , Sheth, Kevin N. , Stulberg, Eric L , Lisabeth, Lynda , Schneider, Andrea L C , Harris, Benjamin R.E., Sheth, Kevin N , Wong, Ka-Ho , Skolarus, Lesli E. , Kershaw, Kiarri N. , Zheutlin, Alexander R. , Harris, B. , Havenon, Adam de

Annals of Neurology | July 26, 2024 | Volume: 96 | Issue: 4 | Pages: 739-744

10.1002/ana.27039 Get It

Socioeconomic status (SES) is a multi‐faceted theoretical construct associated with stroke risk and outcomes. Knowing which SES measures best correlate with population stroke metrics would improve its accounting in observational research and inform interventions. Using the Centers for Disease Control and Prevention's (CDC) Population Level Analysis and Community Estimates (PLACES) and other publicly available databases, we conducted an ecological study comparing correlations of different United States county‐level SES, health care access and clinical risk factor measures with age‐adjusted stroke prevalence. The prevalence of adults living below 150% of the federal poverty level most strongly correlated with stroke prevalence compared to other SES and non‐SES measures (correlation coefficient = 0.908, R2 = 0.825; adjusted partial correlation coefficient: 0.589, R2 = 0.347). ANN NEUROL 2024;96:739–744
Plasma neurofilament light predicts mortality in patients with stroke
Gendron, Tania F. , Badi, Mohammed K. , Jansen‐West, Karen , Vilanilam, George K. , Burch, Alexander R. , Walton, Ronald L., Ross, Owen A. , Brott, Thomas G. , Miller, Timothy M. , Nicholson, Katharine, Oskarsson, Björn , Falcone, Guido J. , Cucchiara, Brett , Petrucelli, Leonard , Jansen-West, Karen R , Vilanilam, George , Johnson, Patrick W. , Burch, Alexander R , Ross, Owen A , Miller, Timothy M , Wszolek, Z.K. , Oskarsson, Björn , Sheth, Kevin N , Sansing, Lauren H , Falcone, Guido J , Cucchiara, Brett L , Meschia, James F , Petrucelli, Leonard , Badi, Mohammed , Gendron, Tania F , Heckman, Michael G. , Berry, James D. , Wszołek, Zbigniew K. , Sheth, Kevin N. , Meschia, James F.

Science Translational Medicine | November 12, 2020 | Volume: 12 | Issue: 569 | Pages: No page available

10.1126/scitranslmed.aay1913 Get It

Plasma neurofilament light is a reliable, uniform marker to estimate neuroaxonal injury and forecast all-cause mortality across major stroke types.