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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 3 of 3 Research Studies DisplayedKerber KA, Meurer WJ, Brown DL
Stroke risk stratification in acute dizziness presentations: a prospective imaging-based study.
The researchers estimated the ability of bedside information to risk stratify stroke in acute dizziness presentations. They found that in acute dizziness presentations, the combination of ABCD(2) score, general neurologic examination, and a specialized ocular motor examination has the capacity to risk-stratify acute stroke on MRI.
AHRQ-funded; HS018334; HS017690; HS022258.
Citation: Kerber KA, Meurer WJ, Brown DL .
Stroke risk stratification in acute dizziness presentations: a prospective imaging-based study.
Neurology 2015 Nov 24;85(21):1869-78. doi: 10.1212/wnl.0000000000002141..
Keywords: Stroke, Risk, Healthcare Utilization, Decision Making
Friedant AJ, Gouse BM, Boehme AK
A simple prediction score for developing a hospital-acquired infection after acute ischemic stroke.
The authors sought to develop a simple scoring system for any hospital-acquired infection (HAI). Ranging from 0 to 7, the overall infection score consists of age 70 years or more, history of diabetes, and National Institutes of Health Stroke Scale score. Patients with an infection score of 4 or more were at 5 times greater odds of developing an infection. They concluded that, if validated in other populations, this score could assist providers in predicting infections after ischemic stroke.
AHRQ-funded; HS013852.
Citation: Friedant AJ, Gouse BM, Boehme AK .
A simple prediction score for developing a hospital-acquired infection after acute ischemic stroke.
J Stroke Cerebrovasc Dis 2015 Mar;24(3):680-6. doi: 10.1016/j.jstrokecerebrovasdis.2014.11.014.
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Keywords: Decision Making, Healthcare-Associated Infections (HAIs), Patient-Centered Outcomes Research, Risk, Stroke
Boehme AK, Rawal PV, Lyerly MJ
Investigating the utility of previously developed prediction scores in acute ischemic stroke patients in the stroke belt.
The researchers compared several scoring systems among patients receiving systemic and endovascular treatments. They concluded that their study demonstrated that although highly predictive of outcome in the original study design treatment groups, prediction scores may not generalize to all patient samples, highlighting the importance of validating prediction scores in diverse samples.
AHRQ-funded; HS013852.
Citation: Boehme AK, Rawal PV, Lyerly MJ .
Investigating the utility of previously developed prediction scores in acute ischemic stroke patients in the stroke belt.
J Stroke Cerebrovasc Dis 2014 Sep;23(8):2001-6. doi: 10.1016/j.jstrokecerebrovasdis.2014.02.003.
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Keywords: Decision Making, Diagnostic Safety and Quality, Risk, Stroke