Why the study?
Does the MCA asymmetry index predict poor functional outcome in patients with TIA or acute ischemic stroke?
Does the MCA asymmetry index predict poor functional outcome in patients with TIA or acute ischemic stroke?
The MCA asymmetry index measured by transcranial Doppler has independent prognostic value for predicting poor short-term functional outcomes after acute cerebral infarction.
May enhance stroke outcome models in observational data; leaves open clinical utility pending prospective validation.
1 , 2 1 , , 2 This study examined whether the difference in the middle cerebral artery (MCA) velocities can predict the prognosis of stroke and whether the prognostic impact differs among stroke subtypes. Transient ischemic attack (TIA) or acute ischemic stroke patients, who underwent a routine evaluation and transcranial Doppler (TCD), were included in this study. The MCA asymmetry index was calculated using the relative percentage difference in the mean flow velocity (MFV) between the left and right MCA: (|RMCA MFV-LMCA MFV|/mean MCA MFV)100. The stroke subtypes were determined using the TOAST classification. Poor functional outcomes were defined as a mRS score 3 at 3 months after the onset of stroke. A total of 988 patients were included, of whom 157 (15.9%) had a poor functional outcome. Multivariable analysis showed that only the MCA asymmetry index was independently associated with a poor functional outcome. ROC curve analysis showed that adding the MCA asymmetry index to the prediction model improved the discrimination of a poor functional outcome from acute ischemic stroke (from 88.6% [95% CI, 85.2 91.9] to 89.2% [95% CI, 85.992.5]). The MCA asymmetry index has an independent prognostic value for predicting a poor short-term functional outcome after an acute cerebral infarction. Therefore, TCD may be useful for predicting a poor functional outcome in patients with acute ischemic stroke.
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Han et al. (2018) studied this question.
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