scholarly journals Vascular risk factors and stroke risk across the life span: A population-representative study of half a million people

2022 ◽  
pp. 174749302110706
Author(s):  
Raed A Joundi ◽  
Scott B Patten ◽  
Jeanne VA Williams ◽  
Eric E Smith

Background: The incidence of stroke in developed countries is increasing selectively in young individuals, but whether this is secondary to traditional vascular risk factors is unknown. Methods: We used the Canadian Community Health Survey from 2000 to 2016 to create a large population-representative cohort of individuals over the age of 30 and free from prior stroke. All analyses were stratified by age decile. We linked with administrative databases to determine emergency department visits or hospitalizations for acute stroke until December 2017. We calculated time trends in risk factor prevalence (hypertension, diabetes, obesity, and smoking) using meta-regression. We used Cox proportional hazard models to evaluate the association between vascular risk factors and stroke risk, adjusted for demographic, co-morbid, and social variables. We used competing risk regression to account for deaths and calculated population-attributable fractions. In a sensitivity analysis, we excluded those with prior heart disease or cancer. Results: We included 492,400 people in the analysis with 8865 stroke events over a median follow-up time of 8.3 years. Prevalence of hypertension, diabetes, and obesity increased over time while smoking decreased. Associations of diabetes, hypertension, and obesity with stroke risk were progressively stronger at younger age (adjusted hazard ratio for diabetes was 4.47, 95% confidence interval (CI) = 1.95–10.28 at age 30–39, vs 1.21, 95% CI = 0.93–1.57 at age 80+), although the obesity association was attenuated with adjustment. Smoking was associated with higher risk of stroke without a gradient across age deciles, although had the greatest population-attributable fraction at younger age. The hazard ratio for stroke with multiple concurrent risk factors was much higher at younger age (adjusted hazard ratio for 3–4 risk factors was 8.60, 95% CI = 2.97–24.9 at age 30–39 vs 1.61, 95% CI = 0.88–2.97 at age 80+) and results were consistent when accounting for the competing risk of death and excluding those with prior heart disease or cancer. Conclusions: Diabetes and hypertension were associated with progressively elevated relative risk of stroke in younger individuals and prevalence was increasing over time. The association of obesity with stroke was not significant after adjustment for other factors. Smoking had the greatest prevalence and population-attributable fraction for stroke at younger age. Our findings assist in understanding the relationship between vascular risk factors and stroke across the life span and planning public health measures to lower stroke incidence in the young.

Neurology ◽  
2018 ◽  
Vol 91 (16) ◽  
pp. e1479-e1486 ◽  
Author(s):  
Matthew P. Pase ◽  
Kendra Davis-Plourde ◽  
Jayandra J. Himali ◽  
Claudia L. Satizabal ◽  
Hugo Aparicio ◽  
...  

ObjectiveGiven the potential therapeutic effect of vascular disease control timing to reduce dementia risk, we investigated the age-related influences of vascular risk factor burden on brain structure throughout the lifespan.MethodsWe studied participants from the community-based prospective Framingham Heart Study. Overall vascular risk factor burden was calculated according to the Framingham Stroke Risk Profile, a validated algorithm that predicts stroke risk. Brain volume was estimated by MRI. We used cross-sectional data to examine how the strength of association between vascular risk factor burden and brain volume changed across each age decade from age 45–54 years through to 85–94 years (N = 2,887). Second, we leveraged up to 40 years of longitudinal data to determine how the strength of association between vascular risk factor burden and brain volume changed when vascular risk factors were examined at progressively earlier ages (N = 7,868).ResultsIn both cross-sectional and longitudinal analyses, higher vascular risk factor burden was associated with lower brain volume across each age decade. In the cross-sectional analysis, the strength of this association decreased with each decade of advancing age (p for trend < 0.0001). In longitudinal analysis, the strength of association between vascular risk factor burden and brain volume was stronger when vascular risk factors were measured at younger ages. For example, vascular risk factor burden was most strongly associated with lower brain volume in later life when vascular risk factors were measured at age 45 years.ConclusionVascular risk factors at younger ages appear to have detrimental effects on current and future brain volume.


Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Anne-Katrin Giese ◽  
Markus D Schirmer ◽  
Adrian V Dalca ◽  
Ramesh Sridharan ◽  
Lisa Cloonan ◽  
...  

Introduction: White matter hyperintensity (WMH) is a highly heritable trait and a significant contributor to stroke risk and severity. Vascular risk factors contribute to WMH severity; however, knowledge of the determinants of WMH in acute ischemic stroke (AIS) is still limited. Hypothesis: WMH volume (WMHv) varies across AIS subtypes and is modified by vascular risk factors. Methods: We extracted WMHv from the clinical MRI scans of 2683 AIS subjects from the MRI-Genetics Interface Exploration (MRI-GENIE) study using a novel fully-automated, volumetric analysis pipeline. Demographic data, stroke risk factors and stroke subtyping for the Causative Classification of Stroke (CCS) were performed at each of the 12 international study sites. WMHv was natural log-transformed for linear regression analyses. Results: Median WMHv was 5.7cm 3 (interquartile range (IQR): 2.2-12.8cm 3 ). In univariable analysis, age (63.1 ± 14.7 years, β=0.04, SE=0.002), prior stroke (10.2%, β=0.66, SE=0.08), hypertension (65.4%, β=0.75, SE=0.05), diabetes mellitus (23.1%, β=0.35, SE=0.06), coronary artery disease (17.6%, β=0.04, SE=0.002), and atrial fibrillation (14.6%, β=0.48, SE=0.07) were significant predictors of WMHv (all p<0.0001), as well as smoking status (52.2%, β=0.15, SE=0.05, p=0.005), race (16.5% Non-Caucasian, β=0.25, SE=0.07) and ethnicity (8.2% Hispanic, β=0.30, SE=0.11) (all p<0.01). In multivariable analysis, age (β=0.04, SE=0.002), prior stroke (β=0.56, SE=0.08), hypertension (β=0.33, SE=0.05), smoking status (β=0.16, SE=0.05), race (β=0.42, SE=0.06), and ethnicity (β=0.34, SE=0.09) were independent predictors of WMHv (all p<0.0001), as well as diabetes mellitus (β=0.13, SE=0.06, p=0.02). WMHv differed significantly (p<0.0001, unadjusted) across CCS stroke subtypes: cardioembolic stroke (8.0cm 3 , IQR: 4.2-15.4cm 3 ), large-artery stroke (6.9cm 3 , IQR: 3.1-14.7cm 3 ), small-vessel stroke (5.8cm 3 , IQR: 2.5-13.5cm 3 ), stroke of undetermined (4.7cm 3 , IQR: 1.6-11.0cm 3 ) or other (2.55cm 3 , IQR: 0.9-8.8cm 3 ) causes. Conclusion: In this largest-to-date, multicenter hospital-based cohort of AIS patients with automated WMHv analysis, common vascular risk factors contribute significantly to WMH burden and WMHv varies by CCS subtype.


Author(s):  
RIZALDY TASLIM PINZON ◽  
BULAN MARCHELLIA WIJAYA

Objectives: This research is to measure the prevalence rate of antiplatelet resistance in ischemic stroke patients and measure the vascular risk factors associated with antiplatelet resistance in patients with ischemic stroke. Methods and Subjects: This was a cross-sectional study with the number of respondents in this study amounted to 155 patients who all had ischemic stroke disease at Bethesda Hospital in Yogyakarta Indonesia used stroke registry to complete the data of the risk factors. VerifyNow method is used to measure the responsiveness of antiplatelet therapy. Results: Among the 155 patients with ischemic stroke, 45 were women (29%), 110 were men (71%), and the elderly (age more than 60 years old) in 81 patients. In total 155 patients with ischemic stroke, 106 of them have hypertensive, with diabetes are 19 patients, dyslipidemia is 90 patients, and ischemic heart disease in 13 patients. The prevalence of antiplatelet resistance in risk factors, for age more than 60 years, is 21 patients (25%, RR=1.06, *p=0.96), in diabetes is 7 patients (36%, RR=1.17, **p=0.74), dyslipidemia is 19 patients (21%, RR=0.68, ***p=0.24), and ischemic heart disease is four patients (30%). Among 127 patients, 22% (28 patients) had aspirin resistance, while from 42 patients, 26.2% (11 patients) were resistant to clopidogrel. Conclusion: Antiplatelet resistance is common in ischemic stroke patients. One of five patients treated with antiplatelet showed non-responsiveness. Vascular risk factors do not increase the risk of antiplatelet resistance in ischemic stroke patients.


PLoS ONE ◽  
2014 ◽  
Vol 9 (8) ◽  
pp. e105804 ◽  
Author(s):  
Davood Khalili ◽  
Farhad Haj Sheikholeslami ◽  
Mahmood Bakhtiyari ◽  
Fereidoun Azizi ◽  
Amir Abbas Momenan ◽  
...  

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Sammy D Pishanidar ◽  
Saad A Mir ◽  
Hooman Kamel ◽  
Alexander E Merkler ◽  
Gino Gialdini ◽  
...  

Background and Purpose: We assessed whether sinus bradycardia is an early sign of atrial dysfunction that might predispose to atrial thrombogenesis and therefore be associated with stroke risk. Methods: We retrospectively used inpatient and outpatient claims data from a 5% sample of Medicare beneficiaries ≥ 66 years old from 2008-2014. Our predictor variable was sinus bradycardia, defined as ICD-9-CM code 427.8x. Our primary outcome was ischemic stroke, ascertained using a previously validated diagnosis code algorithm. Patients with ischemic stroke or atrial fibrillation/flutter prior to or at the time of a bradycardia diagnosis were excluded. We used Cox regression analysis adjusted for demographics and vascular risk factors to evaluate the association between sinus bradycardia and the risk of stroke. Patients were censored at the time of a diagnosis of atrial fibrillation/flutter. In a confirmatory analysis, we assessed whether sinus bradycardia was more common in patients with cryptogenic stroke compared to stroke due to large-artery atherosclerosis or small-vessel disease using data from the Cornell AcutE Stroke Academic Registry (CAESAR), which comprises all adults with acute stroke at New York-Presbyterian Hospital/Weill Cornell Medical Center from 2011 to 2014. Results: Among 1,417,069 Medicare beneficiaries (mean age 73.4 +/- 7.6 years) who were followed for a mean of 4.36 (+/- 1.8) years, 63,385 patients received a diagnosis of sinus bradycardia. Bradycardia was significantly associated with stroke in unadjusted analysis (hazard ratio [HR], 1.7; 95% confidence interval [CI], 1.6-1.8) but not after adjustment for demographics and vascular risk factors (HR, 0.9; 95% CI, 0.8-0.9). Among 608 patients with cryptogenic or non-cardioembolic stroke in CAESAR, 93 (15.3%) had sinus bradycardia. We did not find an association between sinus bradycardia and cryptogenic stroke after adjustment for demographics, stroke severity, insular infarction, and vascular comorbidities (OR 0.9, 95% CI 0.4-1.9). Conclusion: We found no association between sinus bradycardia and future stroke risk in stroke-free patients nor an over-representation of sinus bradycardia among cryptogenic strokes versus non-cardioembolic strokes.


Author(s):  
Chenran Wang ◽  
Yanghua Sun ◽  
Di Jiang ◽  
Chunping Wang ◽  
Shiwei Liu

Background Ischemic heart disease (IHD) imposes the greatest disease burden globally, especially in low‐ and middle‐income countries (LMICs). We aim to examine the population‐attributable fraction and risk‐attributable death and disability‐adjusted life years (DALYs) for IHD in 137 low‐ and middle‐income countries. Methods and Results Using comparative risk assessment framework from the 2019 Global Burden of Disease study, the population‐attributable fraction and IHD burden (death and DALYs) attributable to risk factors in low‐income countries, lower‐middle‐income countries (LMCs), and upper‐middle‐income countries were assessed from 2000 to 2019. In 2019, the population‐attributable fraction (%) of IHD deaths in relation to all modifiable risk factors combined was highest in lower‐middle‐income countries (94.2; 95% uncertainty interval, 91.9–96.2), followed by upper‐middle‐income countries (93.5; 90.4–95.8) and low‐income countries (92.5; 90.0–94.7). There was a >13‐fold difference between Peru and Uzbekistan in age‐standardized rates (per 100 000) of attributable death (44.3 versus 660.4) and DALYs (786.7 versus 10506.1). Dietary risks accounted for the largest proportion of IHD’s behavioral burden in low‐ and middle‐income countries, primarily attributable to diets low in whole grains. High systolic blood pressure and high low‐density lipoprotein cholesterol remained the 2 leading causes of DALYs, with the former topping the list in 116 countries, while the latter led in 21 of the 137 countries. Compared with 2000 to 2010, the increases in risk‐attributable deaths and DALYs among upper‐middle income countries were slower from 2010 to 2019, while the trends in low‐income countries and lower‐middle income countries were opposite. Conclusions IHD’s attributable burden remains high in low‐ and middle‐income countries. Considerable heterogeneity was observed among different income‐classified regions and countries.


Kardiologiia ◽  
2018 ◽  
Vol 17 (10) ◽  
pp. 53-58 ◽  
Author(s):  
E. Yu. Andreenko ◽  
◽  
I. S. YAvelov ◽  
M. M. Loukianov ◽  
A. N. Vernohaeva ◽  
...  

1991 ◽  
Vol 90 (2-3) ◽  
pp. 223
Author(s):  
P WINOCOUR ◽  
P DURRINGTON ◽  
D BHATNAGAR ◽  
A MBEWU ◽  
M ISHOLA ◽  
...  

2013 ◽  
Vol 34 (suppl 1) ◽  
pp. P5453-P5453
Author(s):  
V. Bongard ◽  
M. Bodenant ◽  
J. Dallongeville ◽  
D. Arveiler ◽  
F. Kee ◽  
...  

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