BACKGROUND AND PURPOSE: In the National Institute of Neurological Disorders and Stroke (NINDS) rt-PA Stroke Study, major neurological improvement within 24 hours (MNI) occurred significantly more frequently with recombinant tissue plasminogen activator (rtPA) treatment than with placebo. We explored the relationship between MNI and 3-month favorable outcome and sought clinical predictors of MNI. METHODS: Data from 312 rtPA-treated patients from the NINDS trial were used to assess the ability of MNI to predict favorable outcome at 3 months as defined by a modified Rankin Scale score of 0 to 1. Next, a multivariable predictive model was developed for MNI within the same data set. Clinical variables examined included age, time to treatment (TTT), diabetes, pretreatment glucose, baseline National Institutes of Health Stroke Scale score, pretreatment blood pressure, history of atrial fibrillation, weight >100 kg, and a dense artery sign. Finally, this model was used to forecast into the placebo group of the NINDS trial to assess the uniqueness of the predictors in the rtPA-treated group. RESULTS: MNI had a positive predictive value and negative predictive value of 0.70 for predicting favorable 3-month outcome. Only age [odds ratio (OR), 0.68; 95% confidence interval (CI), 0.47 to 0.99] and TTT (OR, 0.56; 95% CI, 0.34 to 0.91) appear to be independently associated with MNI. The model performed only moderately well (area under the receiver-operating characteristic curve, 0.66). Age (OR, 0.67; 95% CI, 0.45 to 0.99) but not TTT was associated with MNI in the placebo group. CONCLUSIONS: MNI may be a useful surrogate for thrombolytic activity and is predictive of favorable 3-month outcome. When rates of MNI in different populations of stroke patients treated with thrombolysis are compared, adjustments for age and TTT may be necessary.
RCT Entities:
BACKGROUND AND PURPOSE: In the National Institute of Neurological Disorders and Stroke (NINDS) rt-PA Stroke Study, major neurological improvement within 24 hours (MNI) occurred significantly more frequently with recombinant tissue plasminogen activator (rtPA) treatment than with placebo. We explored the relationship between MNI and 3-month favorable outcome and sought clinical predictors of MNI. METHODS: Data from 312 rtPA-treated patients from the NINDS trial were used to assess the ability of MNI to predict favorable outcome at 3 months as defined by a modified Rankin Scale score of 0 to 1. Next, a multivariable predictive model was developed for MNI within the same data set. Clinical variables examined included age, time to treatment (TTT), diabetes, pretreatment glucose, baseline National Institutes of Health Stroke Scale score, pretreatment blood pressure, history of atrial fibrillation, weight >100 kg, and a dense artery sign. Finally, this model was used to forecast into the placebo group of the NINDS trial to assess the uniqueness of the predictors in the rtPA-treated group. RESULTS: MNI had a positive predictive value and negative predictive value of 0.70 for predicting favorable 3-month outcome. Only age [odds ratio (OR), 0.68; 95% confidence interval (CI), 0.47 to 0.99] and TTT (OR, 0.56; 95% CI, 0.34 to 0.91) appear to be independently associated with MNI. The model performed only moderately well (area under the receiver-operating characteristic curve, 0.66). Age (OR, 0.67; 95% CI, 0.45 to 0.99) but not TTT was associated with MNI in the placebo group. CONCLUSIONS: MNI may be a useful surrogate for thrombolytic activity and is predictive of favorable 3-month outcome. When rates of MNI in different populations of strokepatients treated with thrombolysis are compared, adjustments for age and TTT may be necessary.
Authors: Jeremy J Heit; Michael Mlynash; Stephanie M Kemp; Maarten G Lansberg; Soren Christensen; Michael P Marks; Santiago Ortega-Gutierrez; Gregory W Albers Journal: Stroke Date: 2019-05 Impact factor: 7.914
Authors: E Clarke Haley; John L P Thompson; James C Grotta; Patrick D Lyden; Thomas G Hemmen; Devin L Brown; Christopher Fanale; Richard Libman; Thomas G Kwiatkowski; Rafael H Llinas; Steven R Levine; Karen C Johnston; Richard Buchsbaum; Gilberto Levy; Bruce Levin Journal: Stroke Date: 2010-02-25 Impact factor: 7.914
Authors: Shashank Agarwal; Erica Scher; Aaron Lord; Jennifer Frontera; Koto Ishida; Jose Torres; Sara Rostanski; Eva Mistry; Brian Mac Grory; Shawna Cutting; Tina Burton; Brian Silver; Ava L Liberman; Mackenzie P Lerario; Karen Furie; James Grotta; Pooja Khatri; Jeffrey Saver; Shadi Yaghi Journal: Stroke Date: 2020-02-27 Impact factor: 7.914
Authors: R I Aviv; J Mandelcorn; S Chakraborty; D Gladstone; S Malham; G Tomlinson; A J Fox; S Symons Journal: AJNR Am J Neuroradiol Date: 2007-10-05 Impact factor: 3.825