You described a problem; did nothing to solve it! USELESS! I'd fire all of you!
Early neurological deterioration in patients with acute ischemic stroke is linked to unfavorable cerebral venous outflow
Abstract
Introduction:
Early
neurological deterioration (END) is associated with poor outcomes in
patients with acute ischemic stroke due to large vessel occlusion
(AIS-LVO). Causes of END after mechanical thrombectomy (MT) include
unsuccessful recanalization and reperfusion hemorrhages. However, little
is known about END excluding the aforementioned causes. We aimed to
investigate factors associated with unexplained END (ENDunexplained) with regard to the cerebral collateral status.
Patients and Methods:
Multicenter
retrospective study of AIS-LVO patients with successful MT (mTICI
2b-3). On admission CT angiography (CTA), pial arterial collaterals and
venous outflow (VO) were assessed using the modified Tan-Scale and the
Cortical Vein Opacification Score (COVES), respectively. ENDunexplained
was defined as an increase in NIHSS score of ⩾ 4 within the first 24
hours after MT without parenchymal hemorrhage on follow-up imaging.
Multivariable regression analyses were performed to examine factors of
ENDunexplained and unfavorable functional outcome (modified Rankin Scale score 3-6).
Results:
A total of 620 patients met the inclusion criteria. ENDunexplained occurred in 10% of patients. While there was no significant difference in pial arterial collaterals, patients with ENDunexplained exhibited more often unfavorable VO (81% vs. 53%; P < 0.001). Unfavorable VO (aOR [95% CI]; 2.56 [1.02-6.40]; P = 0.045) was an independent predictor of ENDunexplained. ENDunexplained was independently associated with unfavorable functional outcomes at 90 days (aOR [95% CI]; 6.25 [2.06-18.94]; P = 0.001).
Discussion and Conclusion:
Unfavorable VO on admission CTA was associated with ENDunexplained. ENDunexplained was independently linked to unfavorable functional outcomes at 90 days. Identifying AIS-LVO patients at risk of ENDunexplained may help to select patients for intensified monitoring and guide to optimal treatment regimes.
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