BACKGROUND AND PURPOSE: Compared with other stroke causes, small-vessel disease is associated with better 3-month outcomes in patients with acute ischemic stroke treated with intravenous thrombolysis. Another question is the impact of coexisting cerebral white matter lesions (WMLs; a surrogate marker of small-vessel disease) on outcome, which was addressed in the current study. METHODS: We analyzed 2485 consecutive intravenous thrombolysis-treated patients at the Helsinki University Central Hospital, 2001 to 2014. WMLs were scored according to 4 previously published computed tomographic visual rating scales from all baseline head scans. The inter-rater agreement was calculated. The primary outcome measure was shift analysis, and the secondary examined all possible binary cutoffs in the modified Rankin Scale at 3 months. The associations of modified Rankin Scale with nominal, ordinal, and continuous variables were analyzed in univariate and adjusted in multivariate binary and ordinal regression (shift analysis) models. RESULTS: In univariate and multivariate regression analyses, all 4 tested visual WML rating scales (as continuous variables, or dichotomized at different cutoff points) were associated with worse outcome at all binary levels and in shift analyses of the modified Rankin Scale. After adjusting for confounders, the statistically strongest association in shift analyses remained for the Blennow scale dichotomized at >3 points, reflecting at least moderate WMLs (odds ratio, 1.90; 95% confidence interval, 1.48-2.44). CONCLUSIONS: WMLs on admission computed tomographic scan are independently associated with worse outcome in intravenous thrombolysis-treated patients with stroke.
BACKGROUND AND PURPOSE: Compared with other stroke causes, small-vessel disease is associated with better 3-month outcomes in patients with acute ischemic stroke treated with intravenous thrombolysis. Another question is the impact of coexisting cerebral white matter lesions (WMLs; a surrogate marker of small-vessel disease) on outcome, which was addressed in the current study. METHODS: We analyzed 2485 consecutive intravenous thrombolysis-treated patients at the Helsinki University Central Hospital, 2001 to 2014. WMLs were scored according to 4 previously published computed tomographic visual rating scales from all baseline head scans. The inter-rater agreement was calculated. The primary outcome measure was shift analysis, and the secondary examined all possible binary cutoffs in the modified Rankin Scale at 3 months. The associations of modified Rankin Scale with nominal, ordinal, and continuous variables were analyzed in univariate and adjusted in multivariate binary and ordinal regression (shift analysis) models. RESULTS: In univariate and multivariate regression analyses, all 4 tested visual WML rating scales (as continuous variables, or dichotomized at different cutoff points) were associated with worse outcome at all binary levels and in shift analyses of the modified Rankin Scale. After adjusting for confounders, the statistically strongest association in shift analyses remained for the Blennow scale dichotomized at >3 points, reflecting at least moderate WMLs (odds ratio, 1.90; 95% confidence interval, 1.48-2.44). CONCLUSIONS: WMLs on admission computed tomographic scan are independently associated with worse outcome in intravenous thrombolysis-treated patients with stroke.
Authors: Francesco Arba; Benedetta Piccardi; Vanessa Palumbo; Betti Giusti; Patrizia Nencini; Anna Maria Gori; Alice Sereni; Mascia Nesi; Giovanni Pracucci; Giorgio Bono; Paolo Bovi; Enrico Fainardi; Domenico Consoli; Antonia Nucera; Francesca Massaro; Giovanni Orlandi; Francesco Perini; Rossana Tassi; Maria Sessa; Danilo Toni; Rosanna Abbate; Domenico Inzitari Journal: Transl Stroke Res Date: 2018-04-23 Impact factor: 6.829
Authors: Norbert Nighoghossian; Fatima Abbas; Tae-Hee Cho; Ana Filipa Geraldo; Vincent Cottaz; Elie Janecek; Laura Mechtouff; Magali Bischoff; Carlos El Khoury; Anne Marie Schott; Laurent Derex; Marc Hermier; Louis Guy Tisserand; Roxana Amelie; Leila Chamard; Yves Berthezene Journal: Neuroradiology Date: 2016-07-22 Impact factor: 2.804
Authors: Andreas Charidimou; Marco Pasi; Marco Fiorelli; Sara Shams; Rüdiger von Kummer; Leonardo Pantoni; Natalia Rost Journal: Stroke Date: 2016-08-04 Impact factor: 7.914