Impact of obesity on stroke outcome after intravenous thrombolysis.
ABSTRACT Obesity is an established risk factor for stroke and has reached epidemic proportions. However, its impact on intravenous thrombolysis applied for acute ischemic stroke is not well known. We aimed to compare the clinical outcome and safety after intravenous thrombolysis in obese (body mass index ≥30 kg/m²) and nonobese (body mass index <30 kg/m²) patients with ischemic stroke.
Data of 304 consecutive patients with stroke (251 nonobese and 53 obese) treated with intravenous thrombolysis were studied. We assessed the rate of favorable outcome (modified Rankin Scale score 0 or 1), mortality, and symptomatic intracranial hemorrhage in the 2 groups.
Obese patients presented more often with diabetes mellitus (30.2% versus 12.4%, P<0.01) and arterial hypertension (77.4% versus 61.4%, P=0.03) as compared with their nonobese counterparts. At 3 months, the rate of favorable outcome was lower in obese compared with nonobese patients (50.9% versus 68.1%, P=0.02). More obese than nonobese patients died (13.2% versus 4.0%, P=0.01), whereas the rate of symptomatic intracranial hemorrhage was similar in the 2 groups (1.9% versus 1.6%, P=1.0). After multivariable adjustment, obesity still remained an independent predictor of unfavorable outcome (P=0.04) and mortality (P=0.04).
Our data indicate that obesity is an independent predictor of unfavorable clinical outcome and mortality in acute ischemic stroke treated with intravenous thrombolysis.
- SourceAvailable from: Ameer E Hassan[Show abstract] [Hide abstract]
ABSTRACT: BACKGROUND: The current guidelines do not recommend increasing the dose of intravenous recombinant tissue plasminogen activator (IV rt-PA) for ischemic stroke patients weighing >100 kg. Obese patients are therefore receiving an IV rt-PA dose <0.9 mg/kg; however, the consequences of such underdosing are unknown. Our goal was to determine the relationship between obesity and clinical outcomes among acute ischemic stroke patients receiving IV rt-PA. METHODS: Data from all patients admitted to US hospitals between 2002 and 2009 who were treated with IV thrombolysis and who had a primary discharge diagnosis of stroke were included. The effect of obesity on rates of intracerebral hemorrhage and discharge outcomes was analyzed after adjusting for potential confounders using logistic regression analysis. RESULTS: Of the 81,579 patients with ischemic stroke treated with IV rt-PA, 5174 (6.3%) were categorized as obese. The intracerebral hemorrhage rates in obese and nonobese patients were significantly different (4.5% v 6.3%; P = .01). After adjusting for age, sex, presence of hypertension, diabetes mellitus, location/teaching status and All Patient Refined Diagnosis Related Group severity scale, there was no difference in the rates of no to minimal disability between obese and nonobese patients (odds ratio [OR] 1.0; 95% confidence interval [CI] 0.8-1.2; P = .8). Obese patients had lower odds of in-hospital mortality (OR 0.6; 95% CI 0.5-0.8; P = .001) but also more likely to be discharged with moderate to severe disability (OR 1.2; 95% CI 1.01-1.3; P = .03). CONCLUSIONS: Obese patients receiving IV rt-PA treatment for acute ischemic stroke appear to have a higher survival rate most likely related to their decreased rates of intracerebral hemorrhage.Journal of stroke and cerebrovascular diseases: the official journal of National Stroke Association 02/2013;
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ABSTRACT: Obesity is a risk factor for stroke but the early effects of high fat diet (HFD) on neurovascular function and ischemic stroke outcomes remain unclear. The goal of this study was to test the hypotheses that HFD beginning early in life: 1) impairs neurovascular coupling, 2) causes cerebrovascular dysfunction, and 3) worsens short term outcomes after cerebral ischemia. Functional hyperemia and parenchymal arteriole (PA) reactivity were measured in rats after 8 weeks of HFD. The effect of HFD on basilar artery function after middle cerebral artery occlusion (MCAO) and associated O-GlcNAcylation were assessed. Neuronal cell death, infarct size, hemorrhagic transformation (HT) frequency/severity and neurological deficit were evaluated after global ischemia and transient MCAO. HFD caused a 10% increase in body weight and doubled adiposity without a change in lipid profile, blood glucose, and blood pressure. Functional hyperemia and PA relaxation were decreased with HFD. Basilar arteries from stroked HFD rats were more sensitive to contractile factors and acetylcholine-mediated relaxation was impaired. Vascular O-GlcNAcylated-protein content was increased with HFD. This group also showed greater mortality rate, infarct volume, HT occurrence rate, HT severity and poor functional outcome as compared to control diet (CD) group. These results indicate that HFD negatively affects neurovascular coupling and cerebrovascular function even in the absence of dyslipidemia. These early cerebrovascular changes may be the cause of greater cerebral injury and poor outcomes of stroke in these animals.AJP Regulatory Integrative and Comparative Physiology 04/2013; · 3.28 Impact Factor
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ABSTRACT: Baseline severity of stroke may be an important predictor of efficacy and safety outcomes in acute stroke intervention trials. This summary explores definitions of baseline variables and outcomes used to measure stroke severity, efficacy, and safety. In addition, the discussion here reviews select acute ischemic stroke intravenous thrombolytic studies, such as the National Institute of Neurological Disorders and Stroke rt-PA Stroke Study and European Cooperative Acute Stroke Studies, select neuroprotectant and endovascular clot retrieval device studies, and large cooperative databases, such as the Virtual International Stroke Trials Archive and Safe Implementation of Treatment in Stroke-International Stroke Thrombolysis Registry, to explore relationships between baseline stroke severity and other possible factors associated with efficacy and safety outcomes. The NIH Stroke Scale and modified Rankin scale will be featured as major stroke outcome measures, based on frequency of use and reliability, familiarity, adaptability, and comparability.Annals of the New York Academy of Sciences 09/2012; 1268(1):85-94. · 4.38 Impact Factor