Temporal Trends in Risk of Future Cardiac Events among Stroke Survivors in the United States

2012 ◽  
Vol 7 (3) ◽  
pp. 207-212 ◽  
Author(s):  
Amytis Towfighi ◽  
Daniela Markovic ◽  
Bruce Ovbiagele
Stroke ◽  
2014 ◽  
Vol 45 (suppl_1) ◽  
Author(s):  
Michael McManus ◽  
Daniela Markovic ◽  
Natalie Valle ◽  
Bruce Ovbiagele ◽  
Amytis Towfighi

BACKGROUND: Metabolic syndrome (MetS), a constellation of cardiometabolic risk factors clustering together, affects >47 million US adults and has been independently linked to primary and recurrent stroke risk. Prevalence and trends in MetS among stroke survivors in the United States are unknown. OBJECTIVES: To evaluate recent temporal trends in age and sex-specific MetS prevalence among adults with/without stroke in the US. METHODS: Prevalence of MetS was assessed among fasting adults ≥35 years who participated in National Health and Nutrition Examination Surveys 1999-2010 (n=9,343). Prevalence estimates were weighted to obtain nationally representative estimates (n=430,371,669). MetS was defined by the 2009 harmonized definition. Stroke was determined by self-report. RESULTS: In all groups except men 35-64 years, MetS prevalence was similar among adults with and without stroke in 1999-2002 (Table). MetS prevalence rates were flat from 1999 to 2010 among those without stroke, but increased among stroke survivors, such that up to 80% of men and 86% of women with stroke had MetS, with the greatest rise among the middle-aged. Stroke survivors aged 35-64 years were ~3 times more likely to have MetS than their counterparts without stroke (OR 3.24, 95% CI 1.60-6.55 for men and OR 2.55, 95% CI 1.45-4.50 for women). DISCUSSION: Due to a differential rise in MetS in stroke survivors over the last 10 years, as many as 9 out of 10 stroke survivors now have MetS, suggesting that Mets may increasingly be placing people at risk for stroke. Intensified efforts aimed at identifying and treating MetS, especially among middle-aged individuals, may be warranted to avert stroke risk.


2020 ◽  
Vol 95 (12) ◽  
pp. 2665-2673
Author(s):  
Akram Kawsara ◽  
Samian Sulaiman ◽  
Jane Linderbaum ◽  
Sarah R. Coffey ◽  
Fahad Alqahtani ◽  
...  

Author(s):  
Sarah L. Jackson ◽  
Sahar Derakhshan ◽  
Leah Blackwood ◽  
Logan Lee ◽  
Qian Huang ◽  
...  

This paper examines the spatial and temporal trends in county-level COVID-19 cases and fatalities in the United States during the first year of the pandemic (January 2020–January 2021). Statistical and geospatial analyses highlight greater impacts in the Great Plains, Southwestern and Southern regions based on cases and fatalities per 100,000 population. Significant case and fatality spatial clusters were most prevalent between November 2020 and January 2021. Distinct urban–rural differences in COVID-19 experiences uncovered higher rural cases and fatalities per 100,000 population and fewer government mitigation actions enacted in rural counties. High levels of social vulnerability and the absence of mitigation policies were significantly associated with higher fatalities, while existing community resilience had more influential spatial explanatory power. Using differences in percentage unemployment changes between 2019 and 2020 as a proxy for pre-emergent recovery revealed urban counties were hit harder in the early months of the pandemic, corresponding with imposed government mitigation policies. This longitudinal, place-based study confirms some early urban–rural patterns initially observed in the pandemic, as well as the disparate COVID-19 experiences among socially vulnerable populations. The results are critical in identifying geographic disparities in COVID-19 exposures and outcomes and providing the evidentiary basis for targeting pandemic recovery.


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